Search results for "Generative BI"

Bravida Sverige AB

Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.   The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack   The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.   What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

Capgemini Engineering Sverige AB

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your role Own the end‑to‑end bid lifecycle for RFXs and proactive pursuits, ensuring timely delivery of high‑quality, compliant proposals aligned with client requirement Act as the central orchestrator of the bid process, coordinating Sales, Solution, Finance, Commercial, Legal, Delivery, and Business Risk Management stakeholders across Capgemini entities (GBLs, SBUs, BUs) Drive opportunity qualification, supporting Bid/No‑Bid decisions, win themes, and Winning Sales Plans in collaboration with Sales and Solution Leads Lead solution and proposal development, including RFX analysis, proposal structure definition, content coordination, and client‑focused value articulation Orchestrate internal governance and formal reviews, ensuring compliance with Capgemini bid management processes and approval frameworks Manage bid planning, budgeting, and controls, including bid costs, resourcing, timelines, and deliverable readiness Ensure risk awareness and mitigation during the pursuit by working closely with Business Risk Managers, Finance, Legal, and Commercial teams Coordinate stakeholder communication internally and externally, maintaining alignment across pursuit teams and engaging with client stakeholders throughout the bid lifecycle Lead proposal defenses, orals, and due diligence activities, ensuring consistency, quality, and alignment with client business objectives Ensure smooth handover from bid to delivery, including transfer of solution assumptions, risks, commercials, and commitments Your Profile Bachelor’s degree in Business, IT, or a related field (Master’s preferred). Min. 5 years of experience in bid/proposal management in Engineering and RD Services. Strong understanding of Automotive, LiveScience and Telecommunication sectors and good technical understanding and commercial awareness. Exceptional project management and organizational skills. Excellent written and verbal communication skills. Fluency in English is required. Proficiency in tools such as Microsoft Office Tools, SharePoint, and proposal automation platforms (e.g., Copilot, Other AI Tools) is an asset. APMP certification is a plus. Application As part of our recruitment process, identity verification or background checks may occasionally be conducted. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem

LINKÖPINGS UNIVERSITET

Vi har kraften från över 50 000 studenter och medarbetare. Studenter som ger framtidshopp. Medarbetare som varje dag bidrar till att Linköpings universitet tar sig an samtidens utmaningar. Vår värdegrund vilar på trovärdighet, tillit och trygghet. Genom att vara modiga, tänka fritt och göra nytt skapar vi tillsammans, med stora och små handlingar, en bättre framtid. Välkommen att söka jobb hos oss!  Vill du arbeta i frontlinjen av Europas AI-utveckling och bidra till att bygga nästa generations AI-infrastruktur? Vi söker nu en Team Lead för AI Technology & Tools som vill ta en strategisk och tekniskt ledande roll i utvecklingen av avancerade AI-arbetsflöden på nationell och europeisk nivå. Tjänsten erbjuder en unik möjlighet att arbeta med storskalig HPC- och AI-infrastruktur inom ramen för EuroHPC-initiativet och att aktivt bidra till utvecklingen av robusta, skalbara och ansvarsfulla AI-lösningar, tillsammans med forskare, företag och offentliga aktörer. Om jobbet Som Team Lead för AI Technology & Tools ansvarar du för att leda den tekniska utvecklingen inom teamet och bidra till att MIMER:s AI-plattform integreras i verkliga användningsfall inom industri och forskning. Rollen kombinerar tekniskt ledarskap med operativt arbete och nära dialog med både interna experter och externa samarbetspartners. Du bidrar till utvecklingen av MIMER:s molnnativa superdator-miljö och federerade EuroHPC-tjänster, med fokus på robusta och effektiva AI-arbetsflöden. Tekniskt ledarskap och AI-plattform Driva och utveckla bästa praxis för träning, optimering och driftsättning av AI-modeller på HPC- och GPU-baserade system Ge vägledning kring prestandaoptimering, skalning och effektiv resursanvändning Bidra till arkitektur- och designbeslut inom molnnativa HPC-miljöer MLOps och AI-arbetsflöden Stödja organisationer i att bygga end-to-end AI-pipelines – från datahantering till driftsättning Rådgivning kring reproducerbarhet, versionshantering och hållbar modellförvaltning Bidra till integration av AI-tjänster i befintliga forsknings- och industrimiljöer Infrastruktur och integration Arbeta med hybrid- och federerade lösningar inom EuroHPC Stödja integration mellan MIMER:s beräkningsresurser och externa system Bidra till utvecklingen av en sammanhållen europeisk AI-kapacitet Samverkan och externa kontakter Vara teknisk motpart i dialoger med företag och organisationer Översätta tekniska möjligheter till konkreta lösningar och användningsfall Bidra till att stärka ekosystemet kring MIMER genom samarbete och kunskapsdelning Om dig Kvalifikationer Vi söker dig som har: Doktorsexamen eller motsvarande erfarenhet inom AI/ML, HPC eller närliggande tekniskt område Dokumenterad erfarenhet av storskalig AI-träning och GPU-accelererade miljöer Förståelse för distribuerade träningsramverk och prestandaoptimering Erfarenhet av MLOps och produktionsnära AI-arbetsflöden inom forskning och/eller industri Kunskap om molnbaserad, lokal och hybrid infrastruktur Förmåga att arbeta i tvärvetenskapliga och internationella miljöer Förmåga att kommunicera tekniska lösningar till olika målgrupper Det är särskilt meriterande om du har: Erfarenhet av generativa AI-modeller, exempelvis LLM eller tal-AI Erfarenhet av containeriserade och molnnativa miljöer Erfarenhet av EuroHPC eller federerade beräkningsmiljöer Arbete med industriella AI-lösningar i produktionsnära eller reglerade miljöer, eller i samhällskritiska tillämpningar Erfarenhet av tekniskt ledarskap eller koordinering av utvecklingsteam Erfarenhet av att utveckla lösningar för hantering av data och AI-arbetsbelastningar i miljöer med flera användare Utmärkta kunskaper i svenska Din arbetsplats  MIMER AI Factory är en del av en europeisk satsning för att stärka utvecklingen av pålitlig och konkurrenskraftig AI inom forskning, näringsliv och offentlig sektor. Genom avancerad superdatorinfrastruktur, expertstöd och internationell samverkan möjliggör vi utveckling av AI-lösningar inom forskning, industri och offentlig sektor. Verksamheten drivs i nära samarbete mellan Linköpings universitet, NAISS och RISE. Om anställningen Tillsvidareanställning, heltid 100 %. Anställningen innebär en befattning som Applikationsexpert. Tillträde snarast eller enligt överenskommelse. Befattningen kan komma att placeras i säkerhetsklass. Lön och förmåner Linköpings universitet tillämpar individuell och differentierad lönesättning och sker i enlighet med gällande kollektivavtal (RALS/RALS-T) samt universitetets riktlinjer för lönebildning. NAISS ger sina medarbetare möjlighet till distansarbete upp till 40 % av arbetstiden. Läs mer om förmåner för anställda https://liu.se/jobba-pa-liu/formaner. Fackliga kontaktpersoner Information om fackliga kontaktpersoner, se https://liu.se/jobba-pa-liu/hjalp-for-sokande. Ansökan Välkommen att skicka in din ansökan med CV och ansökningsbrev senast den 10 augusti, 2026. Du söker denna anställning genom att klicka på knappen "Ansök" här nedan. Ansökan som inkommer efter sista ansökningsdag kommer inte att beaktas. Vi välkomnar sökande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar vår verksamhet. För oss är det självklart att värna om allas lika värde, rättigheter och möjligheter. Läs om vårt arbete med https://liu.se/artikel/lika-villkor/. Välkommen med din ansökan!   Linköpings universitet har upphandlade avtal och undanber oss direktkontakt från bemannings- och rekryteringsföretag samt försäljare av platsannonser.

Repli5 AB

About Repli5 Repli5 is a Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, which is essential in developing solutions for industrial robotics, autonomous drones, smart factories, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Build the Engine of our Future We are looking for a highly driven Founding Software Product Engineer - Repli5 Platform to take the reins on our core cloud platform. This is a rare "greenfield" opportunity: you will be architecting and building out the platform from the ground up, allowing users to effortlessly generate computer vision training datasets. As a pivotal early member of our startup, you won't just be writing code—you will lead our platform development. You will sit at the intersection of our users, our 3D artists, and our Machine Learning engineers, translating complex generative AI capabilities into a seamless, scalable user experience. If you love the autonomy of a startup, thrive on making high-level architectural decisions, and want to build a product that directly impacts the future of autonomous systems and robotics, this is the role for you. What You Will Do (Key Responsibilities) Architect & Build: Lead the end-to-end full-stack development of our user-facing cloud platform, owning the technical roadmap and tech stack decisions. Product Lead: Lead the development of the platform product and ensure we are building features that solve real problems for our clients in robotics, drones, and manufacturing. Design for Flexibility: Create a robust architecture that thrives as a cloud-native application today, but is adaptable enough to be packaged for strict on-premise enterprise deployments tomorrow. Bridge the Gap: Work closely with our Software, Machine Learning, and 3D teams. You don't need to be an ML scientist, but you will integrate generative AI features and distributed training pipelines into the platform. Drive Engineering Culture: Set the standard for clean code, scalable architecture, and platform security as we grow the team around you. Who You Are (Qualifications) The Essentials: Minimum of 5 years of proven experience in full-stack software development with strong programming skills in modern frameworks (e.g., SvelteKit/React for frontend; Python/Node.js/Go for backend). Cloud & Infrastructure Guru: Deep experience architecting and deploying cloud platforms and practical knowledge of containerization/orchestration for both cloud and on-prem environments, as well as DevOps skills and experience in GPU-based services. Product Mindset: You have experience with, or a strong appetite for, Product Management/Product Ownership. You care just as much about why you are building something as how you are building it. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. Cross-Disciplinary Curiosity (Big Plus!): A strong interest in or exposure to 3D creation (e.g., Unreal Engine, Blender) and/or Machine Learning (specifically Generative AI or Stable Diffusion). Understanding these domains will give you a massive advantage in collaborating with our specialized team members! A Team Player: A problem solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive salary, pension, insurances and Stock Options. Healthy work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem related to the position and you are expected to present how you would solve this. This is followed by general technical questions Final stage is a sync with the CEO.

Repli5 AB

About Repli5: Repli5 is a small Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, essential in developing solutions for industrial robotics, autonomous drones, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Shaping the Future of AI Perception We're looking for an experienced Machine Learning Engineer with a deep background in computer vision and generative AI. You’ll be part of a team developing workflows that generate realistic, diverse, and highly controllable synthetic image data using state-of-the-art tools like Stable Diffusion, LoRA, and ControlNet. These workflows will be adapted and applied to our new platform and your work will thus directly impact Repli5’s business and the performance and robustness of real-world AI systems—from self-driving cars to industrial automation. What You’ll Do (Key Responsibilities) Develop and fine-tune generative AI pipelines (e.g., Stable Diffusion, ControlNet, LoRA) for synthetic image generation. Design and implement machine learning workflows to generate structured, photorealistic datasets. Collaborate with 3D artists and simulation engineers to align ML models with physical environments and sensor setups. Work closely with customers in automotive, robotics, and aerospace to deliver tailored datasets. Optimize generation systems for scalability, quality, and speed using tools like ComfyUI or custom pipelines. Who You Are (Qualifications) The Essentials: MSc or PhD in Computer Vision, Machine Learning, or related field with 3+ years of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Extensive experience with state-of-the-art image generation models (GAN, Diffusion, Transformers) Exploring Mindset: Experience exploring workflows with generative AI models (especially diffusion-based) and a strong passion for reading and applying new research papers. Toolset Curiosity (Big Plus!): Familiarity with tools like LoRA, ControlNet, ComfyUI, or custom workflows around Stable Diffusion. Domain Knowledge (Big Plus!): Strong understanding of synthetic data generation and its role in training perception systems. Practitioner: A track record of deploying ML systems in domains like industrial automation, defense, or automotive. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. A Team Player: A problem-solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive compensation package. Flexibility and work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem similar to a customer request and you are expected to present how you would solve this (but not present the actual solution). This is followed by general technical questions Final stage is a sync with the CEO.

SVERIGES LANTBRUKSUNIVERSITET

Institutionen för ekologi   Sveriges lantbruksuniversitet (SLU) är en av Nordeuropas största akademiska miljöer för ekologisk forskning och erbjuder en dynamisk och excellent forskningsmiljö med modern infrastruktur. Institutionen för ekologi har cirka 150 anställda, varav omkring 40 arbetar vid Grimsö forskningsstation i Bergslagen. Tillsammans bedriver SLU Ekologicentrum och Grimsö forskningsstation forskning om hållbart jord- och skogsbruk, växtskydd, naturvård och viltförvaltning, och bidrar med vetenskaplig kunskap för att stödja Sveriges och Europas miljöpolitik.   Om jobbet   Projekt   Kan vi förutse utfallen av offentlig politik, politiska val och andra beslut? Vi håller på att ta reda på det genom att utveckla allvarsspel och köra dem med hjälp av AI.   Vi bygger storskaliga simuleringar av samhälleliga processer (miljöförhandlingar, naturvårdspolitik och hybridhotsscenarier) där varje aktör är en autonom AI-agent driven av stora språkmodeller (LLM). Dessa agenter simulerar verkliga intressenter, från regeringsministrar till intressegrupper, och interagerar genom naturligt språk i komplexa strategiska situationer. Vi kör sedan tusentals iterationer för att kartlägga utfallens fördelning. Denna satsning är en del av det nya forskningsprogrammet Articulating Complexity (https://www.slu.se/articulating-complexity/) som är värd vid Sveriges lantbruksuniversitet (SLU) och leds av Guillaume Chapron (docent). Det finansieras av anslag från Vetenskapsrådet (VR), Stiftelsen för miljöstrategisk forskning (Mistra) och Forskningsrådet för hållbar utveckling (FORMAS). Vårt mål är att bygga en ny metodik i skärningspunkten mellan AI, ekologi, statsvetenskap och analys av komplexa system som kan förändra hur politik utformas och stresstestas och hur regeringar förbereder sig för kriser. Vi söker ambitiös forskningsingenjör som vill vara med i denna satsning.   Arbetsuppgifter   Du är den person som får simuleringarna att faktiskt fungera. Konkret innebär detta:   Bygga LLM-agentinfrastrukturen (utifrån en befintlig fungerande implementation). Varje agent har ett flerskiktat minne och ett affekttillstånd som modifierar både prompter och tillgängliga handlingar, samt ett strategiskt resonemangslager som spårar rykte, åtaganden och mentala modeller av andra agenter. Vidareutveckla och underhålla det multiagent-baserade simuleringsramverket. En simulering kör dussintals samtidiga LLM-instanser som kommunicerar genom strukturerade meddelandeprotokoll. Du kommer att utveckla och underhålla detta ramverk, inklusive valideringsmetodiken. Köra storskaliga Monte Carlo-simuleringar i skala på GPU-aktiverade HPC-kluster (t.ex. NAISS). Publicering och spridning av projektets resultat. Du kommer att samförfatta vetenskapliga publikationer från projektet. Forskningen kommer att producera artiklar i skärningspunkten mellan beräkningssamhällsvetenskap, ekologi, säkerhetsstudier och AI. Du kommer att arbeta nära PI:n (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) och en postdoktor i beräkningssamhällsvetenskap (som rekryteras samtidigt). Ni tre kommer att utgöra kärnteamet.   Din bakgrund  Krav En examen i datavetenskap, teknik, fysik, tillämpad matematik eller ett närliggande kvantitativt fält. En master- eller civilingenjörsexamen är tillräcklig; en doktorsexamen är välkommen men inte ett krav. Starka programmeringskunskaper, särskilt i Python, och tillräcklig förståelse för maskininlärning/djupinlärning för att arbeta effektivt med moderna generativa AI-system. Förmåga att bedöma och integrera banbrytande generativa AI-utvecklingar i projektet. Erfarenhet av mjukvaruutvecklingspraxis såsom versionshantering, testning, dokumentation, modulär design och reproducerbara arbetsflöden. Förmåga att arbeta självständigt, felsöka komplexa system under tidspress och ta ägandeskap över teknisk infrastruktur.   Meriterande Erfarenhet av LLM:er, inklusive programmatisk användning via API:er och lokal deployment. Kandidaten bör kunna välja, konfigurera, anpassa och kritiskt utvärdera LLM:er för forskningsapplikationer. Erfarenhet av djup förstärkningsinlärning, agentbaserad modellering eller multiagentsystem, inklusive design av simuleringsmiljöer, interagerande agenter, beslutsregler, återkopplingsmekanismer och scenariobaserade analyser. Erfarenhet av högpresterande beräkningar: batchjobshantering, GPU-arbetsflöden och hantering av storskaliga beräkningsexperiment. Intresse för tillämpningsdomänen: naturvård, miljöpolitik, statsvetenskap, geopolitik och säkerhetsstudier, komplexa adaptiva system. Du behöver inte ha formell bakgrund inom dessa fält, men du bör finna dem intressanta.   Bedömningskriterier   Ansökningar bedöms utifrån följande: Demonstrerad teknisk förmåga. Vi bryr oss mer om vad du har byggt än om vilka kurser du har gått. En GitHub-portfölj, ett driftsatt system, ett väldokumenterat sidoprojekt eller meriter av att lösa svåra AI-problem väger tyngre än en lista med meriter. Självständighet och uppfinningsrikedom. Detta är ett litet team som bedriver banbrytande forskning, och rollen kräver någon som kan diagnostisera problem självständigt, fatta pragmatiska tekniska beslut och hålla komplexa system igång. Om detta lockar snarare än oroar dig är detta rätt tjänst. Samarbetsförmåga. Du kommer dagligen att arbeta med frågor från mycket olika discipliner: ekologi, statsvetenskap, geopolitik. Förmågan att kommunicera tekniska begränsningar och möjligheter till icke-tekniska samarbetspartners är väsentlig. Interpersonella färdigheter kommer att utgöra en viktig del av bedömningen.   Placering: Tjänsten är placerad antingen vid Grimsö eller i Uppsala, med möjlighet att delvis vara baserad vid en annan svensk akademisk institution med kärnkompetens inom AI och maskininlärning.   Anställningsform: Tidsbegränsad anställning 12 månader med ev. möjlighet till förlängning.    Omfattning: 100%.   Tillträde: Enligt överenskommelse, så snart som möjligt efter rekrytering.    Ansökan: Ansökan ska innehålla (1) ett personligt brev med motivering till varför du söker tjänsten (max 3 sidor), (2) CV inklusive en fullständig publikationslista om sådan finns, (3) kopior av examensbevis, (4) kopia av pass om sökanden inte är svensk medborgare, (5) en lista med minst två referenspersoner och deras kontaktuppgifter, och (6) eventuellt arbete som kandidaten anser vara relevant för tjänsten. Välkommen med din ansökan via ansökningsknappen nedan senast 2026-07-14.

Gears of Leo AB

ABOUT THE ROLE We are seeking a hands-on, technically fluent engineer to drive the adoption of AI across our entire development organization - someone who finds the friction in how teams work and turns it into automated, AI-powered solutions. As our AI Enablement Engineer, you will embed with engineering and product teams to identify where AI can remove repetitive, manual work, then build and ship the solutions that make it happen. You will work closely with our AI Efficiency Architects and AI Evangelist to turn high-level AI strategy into concrete, measurable wins on the ground. This role is ideal for someone who enjoys variety, moves fast, and gets real satisfaction from seeing their work adopted and relied upon by teams across the company. Your Mission Accelerate how the entire development organization works by finding high-impact use cases for AI, building the solutions that automate them, and spreading those wins so they scale across teams. YOU WILL BE RESPONSIBLE FOR: Use Case Discovery: work directly with engineering and product teams to map their workflows, spot repetitive or slow processes, and identify the highest-impact opportunities for AI-driven automation across the development organization. Rapid Prototyping & Delivery: act as a builder - lead the technical design and implementation of working solutions such as prompt workflows, lightweight agents, scripts, and integrations that prove value fast, then partnering with the AI Efficiency Architects to harden anything that needs to run in production. Reusable Enablement Assets: create templates, playbooks, and repeatable patterns so a proven AI win can spread from one team to many without bespoke work each time. Adoption & Measurement: drive genuine adoption of AI tooling across teams and tie every solution back to concrete outcomes - time saved, throughput, and delivery speed - so impact is visible and quantifiable to leadership. Feedback to the Platform: surface recurring needs and friction back to the AI Efficiency Architects, so the internal AI gateway and tooling evolve toward what teams actually need. Technical Mentorship & Influence: mentor senior engineers on AI best practices and influence engineering roadmaps. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Staff-Level Engineering Foundations: 8+ years of professional software engineering experience (Java, Python, Go, or TypeScript) with a proven track record of delivering complex, distributed systems in a production environment. Production-Ready AI Expertise: Deep, hands-on experience moving AI from a cool prototype to a real-world tool. You don’t just write basic prompts - you know how to build reliable agents and RAG workflows, and you understand the practical side of LLMs, like managing costs, speed, and context limits to make tools actually work for production. Strategic Problem-Solving: You have a strong bias for action and can take a vague problem and turn it into a working solution fast. While you focus on delivering value quickly rather than chasing perfection, you always think big - building smart, reusable tools that fix root problems for hundreds of developers, not just one team. Collaboration & Communication: excellent interpersonal skills and the ability to work alongside many different teams, understand their needs, and bring them along on the adoption journey. SDLC/DevOps Familiarity: working knowledge of the tools that underpin the software delivery lifecycle (e.g., GitLab/GitHub, CI/CD pipelines, source control) so that solutions fit naturally into how teams already work. Self-Direction: capacity to manage a varied portfolio of work across multiple teams, prioritize for impact, and deliver with minimal supervision. NICE TO HAVES Excellent presentation and training skills Previous experience running enablement, developer experience, or internal tooling initiatives WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) 30 annual vacation days Occupational Pension 5,000 SEK wellness contribution annually Parental Leave Top-Up Possibility to enrol in a private health care insurance for both you and your partner 1,500 SEK equipment allowance Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

Swedbank AB

Kom och sätt ett av Sveriges starkaste varumärken i rörelse Vi bygger en Content Studio för ett av Sveriges mest kända varumärken — högt tempo, hög kreativ ambition och kort väg från idé till publicerat. Vi söker dig som tänker i rörelse. Som instinktivt vet hur ett klipp ska kännas innan det är klippt, hur en animation ska andas innan den renderas och hur timing i motion är lika mycket känsla som teknik. Inte motion för rörlighetens skull, utan rörligt innehåll som faktiskt fångar uppmärksamhet, driver engagemang och känns helt samtida i flödet. Och det du skapar når miljontals människor varje dag. Hos oss på Swedbank har du en möjlighet att: • Jobba med ett av Sveriges mest kända varumärken — och sätta det i rörelse i digitala kanaler varje dag. • Nå miljontals människor genom Sveriges mest besökta digitala plattformar och kanaler — räckvidd på en skala få motion designers någonsin får uppleva. • Sätta standarden för hur ett av Sveriges starkaste varumärken ser ut i rörelse — du kommer inte in för att förvalta ett gammalt arv, utan för att bygga något nytt från grunden. • Skapa rörligt innehåll från idé till färdig leverans — motion design, animation och digital storytelling för sociala och digitala flöden. • Omsätta budskap och riktning till animerade format som känns genomarbetade och samtida. • Arbeta med templates och skalbar motionproduktion utan att tappa kreativ känsla. • Jobba nära content creator, copywriters, designers och marknadsteam i en miljö där bra idéer snabbt ska bli verklighet. I denna roll behöver du: • Vara visuellt exceptionell med ett uttryck som lutar åt creator snarare än corporate. Det här är ingen "duktig på After Effects"-rekrytering — jag letar efter en naturlig känsla för rörelse, rytm, tempo och storytelling, och du vet i magen när ett klipp sitter. • 2–5 års erfarenhet av motion design från reklambyrå, inhousebyrå eller kreativ miljö — men är du relativt tidig i karriären med rätt fingertoppskänsla för vad som fångar organisk uppmärksamhet idag är det inget hinder. • Mycket starka kunskaper i After Effects och Premiere Pro — du arbetar snabbt, obehindrat och utan att leta i menyer. Verktygen är en självklarhet, inte poängen. • En portfolio som visar skillnaden mellan animation som "bara" ser snygg ut och animation som faktiskt gör något — du vet vad du gör och varför. • Stark känsla för tempo, rytm och bildkomposition, och koll på visuella trender — du brinner för digital kommunikation som andas nutid. • Snabb utan att bli slarvig — du växlar sömlöst mellan genomarbetad, tyngre motionproduktion och snabbare, skalbar contentproduktion utan att någonsin tappa känslan för hantverket. • Du förstår att vi är en bank, men använder det som en kreativ parameter, inte en ursäkt för att göra trygga och genomsnittliga grejer. Compliant utan att vara försiktig — du testar ramarna för vad som är möjligt men vet precis var de går. • Genuint nyfiken på AI och använder det redan aktivt i ditt arbete – du testar, utforskar och hittar sätt att jobba smartare och mer kreativt med de verktyg som finns. • Erfarenhet av att arbeta med exempelvis Gettyfilmer och integrera materialet i olika format. • Självgående och prestigelös — du ser vad som behöver göras och driver arbetet framåt utan att vänta på att få ett problem serverat. Du delar generöst med dig av idéer, tar feedback med ro och lämnar egot utanför dörren. Det är inget önskemål, det är ett krav. • Svenska och engelska — du arbetar, tänker och kommunicerar lika bra på båda. Hos oss kan du uppleva: Personlig och professionell utveckling genom självledarskap och kontinuerlig utveckling. Meningsfullt arbete som positivt påverkar vår arbetsplats, våra kunder och samhället. En öppen och samarbetsinriktad kultur som uppmuntrar tvärfunktionellt teamarbete och erbjuder nätverksmöjligheter. En stöttande och inkluderande miljö som främjar en balanserad och hållbar arbetslivssituation, med flexibla arbetsförhållanden när det passar rollen. Förmåner såsom vårt erbjudande för bankprodukter för anställda, tjänstepensionsplan, aktiebaserade belöningsprogram Eken, och friskvårdsbidraget. "Bli en del av vårt team och... …bygga något som aldrig funnits på Swedbank tidigare. Rätt person i den här rollen lyfter inte bara sitt eget arbete utan höjer hela rummet och sätter nivån för hela studion. Vi har varumärket, räckvidden och ambitionerna – nu letar jag efter dig som ska sätta oss i rörelse. Är det dig jag letar efter? Då vill jag att vi pratar. Jag ser fram emot att bygga det här tillsammans med dig." Magnus Fingal, din framtida chef Vi ser fram emot din ansökan senast den 2026-08-16.  Placeringsort: Stockholm, Sundbyberg Rekryterande chef: Magnus Fingal I den här rekryteringen samarbetar Swedbank med Bohmans Nätverk, som även ansvarar för urvalsprocessen. För frågor om rollen, kontakta Anders Welin på 0706 33 21 37 eller anders.welin@bohmans.com, alternativt Linda Schmidt på 076 408 77 91 eller linda.schmidt@bohmans.com. Vi ser gärna att du skickar in din ansökan direkt till någon av ovanstående kontaktpersoner. Vänligen observera att rekryteringsarbetet kan ta lite längre tid än normalt då det är sommarsemester. Vi vill göra dig uppmärksam på att bakgrundskontroll och drogtest kan komma att genomföras för denna roll om du går vidare i processen. Vi har gjort vårt medieval för rekrytering och undanber oss därför kontakt med annonssäljare eller säljare av andra rekryteringstjänster. Swedbank är en inkluderande arbetsgivare och diskriminerar ingen utifrån kön, ålder, sexuell läggning eller sexuell identitet, etnicitet, religion eller funktionsnedsättning - alla är välkomna. #LI-Hybrid

Combitech Aktiebolag

Vill du leda i teknikens framkant och samtidigt utveckla både människor, affärer och framtida AI-drivna lösningar? På Combitech kombinerar vi djup systemkompetens med innovation inom digitalisering och AI för att utveckla samhällsviktiga funktioner och skapa värde för våra kunder. Vi söker nu en engagerad och affärsdriven resultatenhetschef som vill ta en central roll i att utveckla vår verksamhet inom affärsområde Applied Analytics. Din roll som resultatenhetschef Som resultatenhetschef har du ett helhetsansvar för en del av verksamheten - inklusive medarbetare, affär, leverans, resultat, rekrytering, beläggning och kundrelationer. Du leder en verksamhet i tillväxt där traditionell ingenjörskompetens inom systemutveckling kombineras med nya förmågor inom AI, dataanalys och digital transformation. Rollen innebär att: Driva och utveckla affären, inklusive försäljning och partnerskap Bygga och utveckla team med spetskompetens inom klassiska ingenjörsdiscipliner och nya AI-relaterade områden Ansvara för leveranser inom t.ex. computer vision, generative AI, AI-stödd analys, mm Vara en aktiv del i affärsområdets ledningsgrupp och bidra till strategisk utveckling Leda förändring och stärka organisationens förmåga att möta framtidens digitala och intelligenta system Du blir en viktig kulturbärare och skapar en miljö där innovation, lärande och kunskapsdelning står i fokus. Vad vi erbjuder Combitech har en stark position inom utveckling av säkra system och lösningar för industrin, Försvarsmakten och offentlig sektor. Vårt affärsområde arbetar genom hela produktlivscykeln - från utveckling till drift och underhåll - och befinner sig i en expansiv fas. Vi stärker nu vår förmåga att integrera AI och maskininlärning i analys, beslutsstöd och optimering, samt att utveckla digitala tvillingar och möjliggöra prediktivt underhåll. Parallellt driver vi datadriven utveckling och automatisering, med ett tydligt fokus på säker och robust systemutveckling enligt relevanta standarder Vem är du? Vi söker dig som kombinerar teknisk tyngd med affärsmässighet och ett modernt, engagerande ledarskap. Du har en relevant akademisk utbildning, exempelvis som civilingenjör eller motsvarande, och har tidigare erfarenhet av att leda verksamhet med både personal- och ekonomiansvar. Du är van vid att driva affärsutveckling och har ett naturligt fokus på kunddialoger och att skapa värde i mötet med kund. Det är meriterande om du har kunskap och ett genuint intresse för AI, dataanalys, digitalisering och nya teknologier, samt en förståelse för hur dessa kan omsättas i praktiken - exempelvis inom prediktivt underhåll, beslutsstöd eller systemoptimering. Har du dessutom erfarenhet från konsultbranschen ser vi det som ett extra plus. Ditt ledarskap För att lyckas i rollen leder du med tillit, tydlighet och ett coachande förhållningssätt - och du får människor att växa. Du har ett genuint engagemang för både individ och team och vet hur du skapar driv genom dialog, delaktighet och tydliga, gemensamma mål. Du trivs i en föränderlig miljö där du får vara med och påverka, och du drivs av att utveckla både organisationen och vårt erbjudande framåt. Samtidigt bidrar du aktivt till att bygga en kultur där teknik, affär och innovation möts - och där nytänkande och samarbete blir en självklar del av vardagen. Då tjänsten innebär arbete som omfattas av försvarssekretess krävs att du genomgår och godkänns i säkerhetsprövning med registerkontroll. Urval sker efter sommaren - vi ser fram emot din ansökan! Kom & gör skillnad Vi tror att man gör ett bättre jobb om man kan fokusera på rätt saker, därför gör vi det lätt att kombinera jobbet med vardagen. Vi satsar på våra medarbetare, de utgör kärnan, hjärnan och hjärtat i vår verksamhet. Dessutom står vi på en stadig grund av högteknologi, forskning och anställningstrygghet med försvars- och säkerhetskoncernen Saab som ägare. Vill du veta mer om hur det är att arbeta hos oss? Kolla in våra karriärsidor!

Lovable Labs Sweden AB

TL;DR: Lovable is building the future of software creation. We need a Lead Product Counsel who thinks like a systems engineer and understands that "zero risk" equals "zero growth." Your job is to be a support system for our product teams, navigating complex regulatory challenges by finding workable, high-speed solutions that keep us shipping. Why Lovable? Change the world, literally: 2026 is the year AI works. Lovable is building the most powerful AI software-creation platform. Work with exceptional people: We’re assembling one of Europe’s strongest technical teams. You’ll work alongside founders, execs, and sales leaders closing deals with the world’s largest enterprises. Legal as a growth lever: At Lovable, legal is not “back office.” Done right, you’ll be a direct driver of revenue velocity and customer trust. Top-of-market comp: Cash + equity. We pay above market for impact, not pedigree. Global stage: We’re a top AI brand. You’ll interact with leading companies, regulators, and advisors across the US, EU, and beyond. What we’re looking for: Relevant Experience: 6-12 years’ legal experience, with at least 2-4 years in-house at a high-growth tech company (Series A-C ideal). Regulatory Partner: You are the ultimate partner for our product teams. You dive deep into the product's goals and translate legal requirements into workable solutions at high speed. You’re comfortable with the EU AI Act, GDPR, EU Data Act and DSA. Automation First: You have a "developer mindset." If you have to give the same advice twice, you’d rather build a tool or an automated workflow to handle it. You likely use AI agents and LLMs daily to 10x your own output. Deep AI & IP Fluency: You understand the "how" behind LLMs, from data scraping and training sets to model weights and output ownership. You can navigate the intersection of copyright and AI-native software creation with ease. Master of the "Product Contract": You are comfortable drafting and iterating on T&Cs and User Agreements from scratch. You see a contract as product logic, it should be clear, fair, and designed to scale with new AI features. You can write terms that protect the company without creating a friction-filled user experience. Pragmatic Risk Tolerance: You understand that in a pre-consensus industry like Generative AI, waiting for 100% legal certainty means being too late. You are comfortable making high-stakes decisions with 70% of the data and a deep understanding of our strategic goals. Bias for action: you’d rather solve and improve than write long memos. Location: Willing to be based in Stockholm (or open to relocate). What you’ll do Embed with Product: Work with engineers daily to launch features that are compliant-by-design. Own legal for product-side vendor and technical partnership contracts that strengthen the platform. You are a core member of the product team, not an external consultant. Automate Legal Ops: Use Lovable and other AI tools to automate as much as possible - from privacy impact assessments to internal compliance checks. IP & Privacy Strategy: Design our global strategy for protecting AI-generated code and managing data provenance in a world of agentic workflows. Regulatory Navigation: Lead our stance on global AI, privacy and other regulation, ensuring Lovable is always two steps ahead of the shifting landscape. Turn complex legal questions into clear, practical guidance for product, engineering and leadership. Scale Prep: Build the systems now (templates, governance, compliance hygiene) that make later audits and fundraising easy. The Challenge This is not a job for someone who wants to “manage” or “delegate.” You’ll be hands-on, detail-obsessed, and directly responsible for the nuts and bolts of product legal. Think spending time with engineers to design new Lovable features. You’ll also have the chance to influence how Lovable’s legal function grows. Ready to make the engine that powers the most exciting AI company in the world? About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

Databricks

REQ ID: CSQ427R209 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. THE IMPACT YOU WILL HAVE: * Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. * Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. * Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. * Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. * Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. * Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. WHAT WE LOOK FOR: * 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. * 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy. * Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. * Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. * Ability to travel to customer sites and Databricks offices approximately 20% of the time. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our AI and Technical Learning Manager, you are the architect of Trustpilot’s AI-first culture. Your primary mission is to build the confidence, curiosity, and capability our people need to work with AI in meaningful and practical ways. You will design the strategy that embeds AI into how Trusties think and work, shifting our culture from one that talks about AI to one that uses it every day. Alongside this, you will ensure our people have the technical skills they need to do their jobs brilliantly, whether that is through Tech Academies, apprenticeship-funded programmes, or bespoke functional upskilling in our Technology teams. Your success is measured by your ability to move the dial on technical proficiency, AI confidence, and fostering a culture of continuous learning and innovation. What you'll be doing: * Drive AI adoption across Trustpilot. This is the core of your role. You will design and run the initiatives, campaigns, and learning experiences that shift how Trusties think about and use AI in their day-to-day work. The goal is practical, confident, widespread adoption. * Build an AI learning strategy that goes beyond awareness. You will create a structured approach to AI capability building that moves people from curiosity to fluency. That means understanding where Trusties are starting from, what good looks like, and how to get them there quickly and confidently. * Consult with functional leaders on AI use cases. You will work alongside leaders across the business to identify where AI and new tools can genuinely change how their teams work. You will then design the learning and change support to make those shifts happen. * Champion a culture of experimentation and continuous learning. You will create the conditions where Trusties feel safe to explore, try things out, and build their own efficiencies with technology. This is about mindset as much as skills. * Design and oversee technical skills programmes. Supporting the AI agenda, you will also ensure Trusties have access to strong technical skills development, including through Tech Academies and other structured learning pathways that build deep functional capability in our technology teams. * Make the most of Apprenticeship Levy funding. You will manage and deploy the Apprenticeship Levy strategically, ensuring eligible Trusties can access high-quality, formally accredited training in AI, technology, and data. * Measure adoption, confidence, and impact. You will define the metrics that matter, track them consistently, and give leadership a clear picture of how AI capability is developing across the business. Data will inform every iteration of your strategy. * Keep Trustpilot at the leading edge. You will benchmark our AI and technical learning maturity against industry standards, bring in emerging best practices, and make sure our strategy evolves as the landscape does. Who you are: * Passionate about AI and how it changes the way people work. You have hands-on experience driving AI adoption and digital transformation. You understand the technology, but more importantly, you understand people and how to bring them on the journey. * A strategic architect, not just a programme manager. You build systems and frameworks that create lasting change. You have a track record of designing and deploying learning and adoption strategies that result in real, measurable shifts in how people work. * Technically fluent. You are deeply comfortable in the current AI landscape, including Generative AI and LLMs. You can hold a credible conversation with Product and Tech leaders and translate complex concepts into accessible learning. * A skilled change manager. You understand that learning alone does not change behaviour. You know how to address resistance, build confidence, and design adoption journeys that account for the human side of change. * Experienced in technical capability building. You have designed and delivered technical skills programmes, including managing Tech Academy-style frameworks, and you know how to build functional capability at scale. * Savvy with Apprenticeship Levy funding. You understand how to use Levy funding strategically to accelerate skills development in technology and AI, and you can navigate the requirements to maximise its value. * A confident stakeholder consultant. You can influence senior leaders, earn their trust quickly, and position AI and technical learning as a genuine business priority rather than a nice-to-have. * Data-driven in how you work. You track adoption, expertise, and ROI. You use evidence to make decisions, tell the story of impact clearly, and continuously improve what you build. What's in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, increasing to 28 days after 2 years of employment  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Pension and life insurance * Health cash plan, online GP, 24/7, Employee Assistance Plan * Full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Season ticket loan and a cycle-to-work scheme * Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. * Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. * Independent financial advice and free standard professional mortgage broker advice * Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! #LI-Hybrid #LI-RS1 About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.

Datadog

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.   Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.   We are focused on two research areas:   1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.   What You'll Do:   * Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability * Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure * Design and build simulated environments and RL training loops for on-policy agent training and evaluation * Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products * Stay at the forefront of foundation models, world models, and RL-based agent research * Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks   Who You Are:   * You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) * You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) * You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) * You are familiar with efficient training, post-training, and inference techniques for large foundation models * You can explain complex models and research findings to both technical and non-technical audiences   Bonus Points (any of the following):   * Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents * Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * Experience writing production data pipelines and applications * Hands-on experience with GPU programming and optimization, including CUDA   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Competitive global benefits  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog:  Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.   Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.   Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Tyche Consulting AB

Location: Stockholm, Sweden (Flexible/Hybrid) Employment Type: Full-time Language: English About Us We are a fast-growing IT consultancy dedicated to delivering cutting-edge expertise to industry-leading clients. Our mission is simple: empower organizations to build scalable, data-driven products that elevate user experience, optimize operations, and unlock business performance through modern AI and advanced analytics. As we scale, we are looking for a seasoned Senior AI & Data Scientist to join our elite team of experts and help shape the future of our AI offerings. The Role & Responsibilities As a Senior AI & Data Scientist, you will own the full AI lifecycle—from initial research and development to deployment and production monitoring. You will collaborate closely with product managers, engineers, and business stakeholders to turn complex data into competitive advantages. Key Responsibilities: Model Development: Design and deploy advanced Machine Learning models for business optimization, predictive analytics (forecasting/classification), and recommendation systems. Generative AI: Build next-generation, LLM-based applications utilizing RAG and Agentic AI architectures. Data & ML Ops: Design scalable ETL/feature engineering pipelines and build production-ready ML pipelines with CI/CD workflows. Deployment: Deploy and manage ML models efficiently using Docker and Kubernetes. Domain Solutions: Develop specialized AI solutions for fraud detection, risk analysis, and customer personalization. Strategic Impact: Analyze large-scale datasets to generate actionable business insights and actively contribute to our clients' long-term AI strategies. Required Qualifications To thrive in this role, you should bring a strong blend of theoretical knowledge and hands-on production experience. Education: Degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. Experience: 6–8+ years of professional experience in Data Science, Machine Learning, or AI Engineering. Core Tech: Exceptional programming skills in Python and strong proficiency in SQL. ML/Stats: Deep understanding of Machine Learning algorithms, statistical modeling, and predictive analytics. Cloud & Infrastructure: Hands-on experience with cloud platforms (GCP, AWS, or Azure) alongside Docker and Kubernetes. Data Engineering: Experience building production-grade ML pipelines and working with distributed data platforms like Databricks. Best Practices: Strong version control habits (Git) and experience with CI/CD pipelines. Soft Skills: Excellent English communication skills, with the ability to translate complex technical concepts for business stakeholders. Preferred Qualifications (Nice to Have) Experience with any of the following tools and concepts is considered a distinct advantage: GenAI Stack: LangChain, LlamaIndex, RAG architectures, and Agentic AI. MLOps Tools: MLflow, Kubeflow, Airflow, and Feature Stores. Data Tools: DBT, BigQuery, and real-time data processing frameworks. Specialized Analytics: A/B testing, customer analytics, and fraud detection. What We Offer Compensation: Salary plus a very attractive bonus package based on performance. Flexibility: A flexible working environment that supports a healthy work-life balance. Impact: A direct opportunity to shape the AI strategy for major global brands. Culture: A vibrant, collaborative, and international team environment. Growth: Structured professional development opportunities and clear paths for long-term career progression.

Datacamp

Freelance Tutorial Writer  DataCamp is looking for a freelance data science tutorial writer! If you are a seasoned writer within the data & AI space and have demonstrable experience in creating, editing, and delivering technical data & AI articles and tutorials, we want to speak with you.  You’ll be responsible for working with one of our content editors to create DataCamp blogs and tutorials to help educate your fellow data practitioners. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and professionals. This is a freelance contributor role—you will preferably be able to deliver 2-5 articles per month, including work on: * Delivering high-quality articles & tutorials on data science, AI, analytics, business intelligence, and more * Researching the latest trends and technologies to deliver insightful, original content that helps our readers continue to learn  * Suggesting new and interesting topics that are suitable for our core audience and will drive organic traffic and engagement  * Creating reflective images of your content using generative AI tools (such as Midjourney or DALL-E) to help your articles stand out We’re excited about you because you have the following: * You have a strong understanding of data science & AI and can write on technical subjects in the data space yourself.   * Detailed knowledge of at least 1 programming language (Python, R, SQL, …) or Business Intelligence Tool (Tableau, Power BI, …)  * You can provide multiple relevant examples of your writing and editing work.

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

We are looking for a Ph.D. student to conduct ground-breaking research using machine learning methods with the aim of developing a new generation of welding materials. The project is multidisciplinary, and you will work closely together with experts at Chalmers and industry with long and recognized experience of welding science and AI methods. About us The Ph.D. student will be employed at the Division of Energy Technology at the Deptartment of Environmental and Energy Sciences at Chalmers University of Technology. We conduct research and offer education mainly in energy technology and energy systems. Our research focuses on combustion and gasification of biomass, technologies for carbon dioxide avoidance, development of energy materials, and sustainable energy systems. The current project will be carried out in close collaboration with the Division of Chemical Physics at Chalmers, which conducts fundamental research with respect to computational materials using first-principles methods and machine learning approaches. About the research project Welding is, in many ways, the backbone of our society and is prevalent across most industries, including automotive, energy, and manufacturing. Still, the industry is associated with high resource use and depends on certain strategic and critical metals. In this project, financed by the Swedish Energy Agency, you will work closely with industrial partners ESAB and Höganäs, with the overall vision of developing effective algorithms for rapid, robust predictions of welding materials. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits* in the fields of physics, chemistry, chemical engineering, data- or material sciences (or equivalent competence). Strong written and verbal communication skills in English Social competence is important as the position is interdisciplinary, i.e., includes collaboration between two departments at Chalmers and industrial collaborators. *for students with an education earned outside of Sweden, a 4-year Bachelor's degree is accepted. The following experience will strengthen your application: Experience in using or developing machine learning or artificial intelligence algorithms. Experience with first-principle methods for material modelling, such as density functional theory and molecular dynamics. Experience of research or courses exploring thermodynamics, chemistry, or physics of materials such as metals and metal oxides. What you will do Take courses at an advanced level within the Graduate school of Energy, Environment and Systems. Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Development of AI and ML models to establish composition–processing–property relationships in welding materials and to predict new material formulations. This includes both conventional predictive models and generative and active-learning approaches. The research will be conducted in close collaboration with industry, and we envisage that some research time will also be spent at industrial sites. Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility of teaching up to 20%, which extends the position to five years. A starting salary of 35,725 SEK per month (valid from May 1, 2026). Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise, the admission may be withdrawn. What we offer As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. A dynamic and inspiring working environment in the coastal city of Gothenburg. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here. Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's and, if available, master's thesis together with the transcripts. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than July 30, 2026 For questions, please contact: Name Tobias Mattisson Professor tm@chalmers.se, +46-31-7721425. Name Anders Hellman Professor anders.hellman@chalmers.se, +46-31-7725611 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.