Sökresultat för "Monitoring and evaluation"

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

Välkommen till vård- och omsorgsförvaltningen. Vi arbetar med stöd och vård till äldre och till personer med funktionsnedsättning. Målet är att de ska kunna leva ett så aktivt och självständigt liv som möjligt. Vård- och omsorgsförvaltningen är en av Sveriges största arbetsgivare inom kommunal vård och omsorg. Här arbetar cirka 7 500 medarbetare utifrån vår värdegrund – göra skillnad, arbeta tillsammans och välkomna nyskapande. Hos oss finns stora möjligheter att ta eget ansvar, utvecklas och bidra med sin kompetens. Vi strävar mot en organisationskultur med en tilltro till varandra och en stolthet över verksamheten. Mer information om hur det är att arbeta i Uppsala kommun hittar du på https://www.uppsala.se/jobb/vard-halsa-omsorg/ Inom vård- och omsorgsförvaltningen har vi heltid som norm. Det innebär att alla tillsvidareanställda medarbetare i grunden har en heltidsanställning. Vid en eventuell intervju ges mer information om vad det innebär i denna tjänst. Undantagna från heltid som norm är personliga assistenter. 1 plats(er). Är du intresserad av eller har erfarenhet inom demens, psykiatri eller socialpsykiatri, och vill bli en del av ett sammansvetsat team där tydlig kommunikation och samarbete är centralt? Då kan Dalbyhemmet vara helt rätt arbetsplats för dig. Hos oss arbetar vi varje dag för att skapa en trygg och meningsfull vardag för våra brukare. Välkommen med din ansökan! Dalbyhemmet ligger i en naturnära miljö med en stor trädgård som skapar goda möjligheter för både aktiviteter och återhämtning. Här arbetar vi med ett rehabiliterande förhållningssätt och erbjuder våra brukare en aktiv vardag med utflykter och andra planerade inslag. Som medarbetare ingår du i ett team med nära samarbete mellan legitimerade kollegor, verksamhetschef och omvårdnadspersonal. En viktig och uppskattad del av vårt arbetssätt är att djur och odling ingår i verksamheten. Vi har höns, kaniner och katter som bor hos oss. Beskrivning av arbetsuppgifter Som sjuksköterska hos oss får du möjlighet att göra skillnad genom att med brukaren i centrum bidra med din kompetens, kunnande och engagemang. Din roll kommer innebära arbete med varierande arbetsuppgifter inom ditt område. Till dina mer konkreta arbetsuppgifter ingår: att bedöma och planera behovet av HSL insatser samt utvärdera behandlingsresultat att handleda omvårdnadspersonal att delegera HSL- uppgifter till omvårdnadspersonal att delta i teamsamverkan kring brukare till exempel beträffande fallriskbedömningar och Senior Alert Som sjuksköterska ingår du tillsammans med övrig legitimerad personal och teamombud i verksamhetschefens ledningsgrupp. Vår ambition är att du tillsammans med oss utvecklar verksamheten och dig själv i ett nära samarbeta med dina kollegor. Kvalifikationer Vi söker dig som har: svensk sjuksköterskelegitimation  dokumentations- och datorvana goda kunskaper i svenska, både i tal och skrift Det är meriterande om du har erfarenhet av arbete med äldre personer och åldrandets sjukdomar. Som person är du flexibel och har lätt för att anpassa dig till förändrade omständigheter där du ser möjligheter. Vidare är du mål- och resultatorienterad, med förmåga att arbeta strukturerat mot uppsatta mål och fokusera på att leverera resultat.  Du har en god samarbetsförmåga och trivs med att arbeta tillsammans med andra. Du är lyhörd, kommunicerar tydligt och bidrar till ett smidigt samarbete genom att lyssna, ge och ta feedback samt hantera eventuella konflikter på ett konstruktivt sätt. Slutligen är du beslutsam och trygg i att fatta snabba beslut även när informationen är begränsad eller situationen är komplex. Du visar gott omdöme under tidspress och omsätter dina beslut i handling. Upplysningar Har du frågor om tjänsten, kontakta: Enhetschef Emil Mattsson, 018-726 0309 Facklig företrädare: Vårdförbundet, Kristian Hjertén, 018-67 70 47 Har du frågor gällande registrering av din ansökan eller rekryteringsprocessen, kontakta rekryteringsenheten: 018-726 37 19 Vi kommer att begära utdrag ur belastningsregistret innan anställning kan erbjudas. Uppsala kommun tillämpar individuell och differentierad lönesättning enligt gällande löneavtal. I din ansökan ska du ange medborgarskap. Om du inte är medborgare i Sverige, EU, EES eller Schweiz måste du också kunna styrka att du har ett giltigt arbetstillstånd eller är undantagen från skyldigheten att ha arbetstillstånd. Anställning kan ske först efter kontroll av arbetstillstånd, vilket krävs enligt utlänningsförordningen. En anställning hos Uppsala kommun kan komma att innebära en krigsplacering. Löneform: Månadslön. Anställningsform: Tillsvidareanställning. Varaktighet: Tillsvidare, tillträde: Enligt överenskommet.

Coalition Clean Baltic – CCB is a politically independent network, uniting 28 environmental NGOs, as well as partners and experts from 11 countries surrounding the Baltic Sea, promoting the protection and improvement of the Baltic environment and its natural resources. CCB Secretariat is based in Uppsala, Sweden. CCB is recruiting a [full-time] Project Coordinator to play an important administrative role in implementing the EU LIFE QuietWaters Project (Towards regionally coordinated actions to reduce underwater noise emissions from existing and future recreational crafts in the Baltic Sea), for the period 1 September 2026 - 31 August 2030. QuietWaters aims to address the reduction of underwater noise pollution from existing and future recreational crafts in the Baltic Sea. Through baseline assessments, pilot studies, stakeholder engagement, policy support, capacity building and awareness raising activities, the project will contribute to the EU's efforts to achieve Good Environmental Status in its marine waters. Moreover, it will pave the way for a quieter, healthier Baltic marine environment, supporting the regional objectives of the HELCOM Baltic Sea Action Plan (BSAP) and the Regional Action Plan on Underwater Noise (RAP). You will work closely with the CCB Project Manager and project partners in Sweden and beyond on different topic-wise issues to ensure effective implementation of the project. You will also be able to support the development and coordination of CCB’s strategic and thematic plans and their effective implementation. Primary tasks and responsibilities Schedule meetings, prepare agendas, take meeting minutes and distribute them with project partners Collect data from project partners and aid in reporting process of the project Support Project Manager and Financial Manager with bookeeping of the project, audit processes, and compliance documentation Organise project events and workshops as well as stakeholder meetings (including registration, venues, catering, travel and logistics) Coordinate any post-event evaluation or feedback collection Implement green procurement of the project and produce a Green Project Management Handbook Support monitoring and evaluation processes Support communication activities of the project including drafting communications and newsletters as well as the development of summary annual reports and a final report of the project Support implementation of risk assessments and mitigation activities In addition, you will support the Project Manager to Communicate and report to Financial Manager and Executive Secretary about project progress, issues and achievements Communicate with and handle requests from project funders Implement obligations under the project´s Grant Agreement together with Financial Manager Implement management strategy defined in project´s work plan and consortium agreement Facilitate collaboration among project partners and moderate consortium meetings Handle any consortium changes/issues Follow progress of project implementation according to Work Plan and budget - monitor progress against objectives and KPIs Ensure proper reporting and track of deliverables and deadlines, including co-funding projects Represent and communicate project progress in relevant fora (e.g. EU, ASCOBANS, HELCOM, EUSBSR) Pursue collaboration with sister projects Implement risk assessment of the project (identify risks, develop specific risk assessments and implement mitigations according to Consortium Agreement and Grant Agreement) We are seeking candidates with: Qualification and competence in administration of international projects funded by EU LIFE Programme Previous experience in similar positions, e.g. working in multicultural environment, as well as competences in events organization and green procurement Skills and experience in communication tools and channels, e.g. newsletter tool EU citizenship or at least residence and work permit in order to travel for work purposes Excellent proficiency in spoken and written English Knowledge of global, EU and regional environmental policies, preferably in the NGO sector We would also welcome interest from candidates who have been working in wider/non-marine environmental policy areas, if they can demonstrate relevant skills and knowledge. Desirable skills Experience of working for a non-profit organization is a merit. Working knowledge of any other language common in the Baltic Sea area, including Swedish (preferably), Danish, Finnish, German, Polish, Latvian, Lithuanian, and Estonian. If you are an adaptable, people-oriented and solutions-focused professional with advocacy or campaigning expertise, a positive disposition, a passion for environmental conservation, vibrant team spirit and a can-do attitude, we’d love to hear from you! Contract Terms Salary: Salary comparable to NGO staff in Sweden and in accordance with the Collective Agreements of the respective unions. Starting level 35,000 SEK gross, subject to adjustment depending on experience and annual increase. Location: Preferably in Sweden or willing to move to. Work from Uppsala or Stockholm is desired. Several joint offline events for the whole Secretariat staff and CCB Council expected per year in Sweden. Travel: Candidates should be flexible to travel as required for meetings and events – mostly within the Baltic Sea Region. You may need to be able to participate in occasional events on weekends. Contract type: Project-based position with 6-month probation period. Starting time: Preferably, latest on 1 September 2026, depending on availability of the chosen candidate. Application and deadline Send your CV (max. 2 pages) together with a personal letter (max. 1 page) by 01 August 2026 to secretariat@ccb.se. Being an international organization, CCB’s work is carried out in English. Please note: Applications submitted in any other language will not be considered. Incomplete applications (e.g. lacking either CV or personal letter) will be also not considered. For any inquiries: above email or CCB Executive Secretary: mikhail.durkin@ccb.se, +46 739 770 793. In the application and hiring process, CCB will not discriminate against any individual based on race, colour, sex, language, religion, national or social origin, property, disability, age, family status, sexual orientation and gender identity, economic and social situation.

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/

Role purpose You will work together with our project team as an owner for electrical design - taking a data-centre project from early concept through detailed design, procurement, construction support and handover, aligned to Eco Data Center's reference architectures and governance. You’ll lead technical due diligence (TDD) for electrical scope, drive vendor selection, and make pragmatic trade-offs across resilience, protection philosophy, maintainability and cost. What you’ll own ·        End-to-end electrical fitout workstream plan, deliverables and decision log ·        Electrical interfaces across UPS, switchgear, generators, BMS/EPMS, fire and commissioning ·        TDD responses for electrical scope with traceable assumptions and evidence ·        Equipment and vendor strategy: specifications, bid evaluations, clarifications, FAT/SAT input ·        Design issue resolution during construction (RFIs, changes, non-conformance, energisation readiness) Key responsibilities ·        Lead the electrical design from early phase through construction, ensuring outputs are buildable, operable and maintainable ·        Produce and defend electrical design decisions (topology, redundancy, protection philosophy, short-circuit considerations, maintainability) ·        Translate customer requirements into robust fitout solutions, including options analysis and cost/benefit trade-offs ·        Write technical specifications and RFQs for major electrical packages; run structured bid evaluation and clarification processes ·        Act as technical representative with suppliers: clarification logs, performance criteria, testing/acceptance inputs ·        Control technical scope and change: identify risks early, prevent scope creep, drive decisions and closures ·        Work effectively in Nordic delivery environments: clear cadence, transparent stakeholder comms, pragmatic decision-making Typical electrical scope (indicative) ·        MV/LV distribution architecture and interfaces ·        Switchgear and protection/coordination intent (as required by project stage and governance) ·        UPS integration, generator interfaces, power quality considerations ·        Earthing/bonding philosophy and resilience considerations ·        Controls and monitoring interfaces (BMS/EPMS), alarms, commissioning readiness inputs ·        Energisation planning support and handover documentation requirements Key interfaces ·        CTO / technical governance (alignment to principles, waivers where needed) ·        Mechanical technical lead (cooling loads, sequencing, controls interfaces) ·        Controls/BMS/EPMS stakeholders (monitoring, alarms, integration approach, commissioning strategy) ·        Project/construction leadership (schedule, risks, changes, installation constraints, energisation readiness focus) ·        Procurement and key vendors (technical packs, evaluation, testing/acceptance criteria) What good looks like in the first 90 days ·        Electrical workstream plan established with dependencies, interfaces and decision gates ·        TDD responses delivered with strong traceability, timely closures and minimal rework ·        RFQ/spec packs issued for priority packages; bid evaluation framework running cleanly ·        Clear interface agreements across UPS/switchgear/generators/BMS/EPMS and site delivery teams ·        Practical construction support cadence in place (RFI triage, change control, energisation readiness focus) Experience and capabilities ·        Proven ownership of electrical design on mission-critical projects (data centres strongly preferred) ·        Deep electrical discipline expertise and confidence leading technical reviews and design decisions ·        Strong procurement and vendor management experience (specs, bid evaluations, technical clarifications) ·        Evidence-led communication: assumptions, options and rationale that stand up in review ·        Structured problem-solving under schedule pressure; comfortable managing high-stakes trade-offs ·        Strong collaboration style across multi-discipline teams and site delivery stakeholders

TL;DR: Lovable lets over 2 million people build software using plain language, and the models behind it need to be exceptional. We're hiring an engineer who has gotten their hands dirty with post-training at scale and wants to do it again for one of the fastest-growing AI products in the world. You'll own our full post-training pipeline: translating the latest research into production training recipes, adapting them for code generation and agent workloads, and putting improved models in front of users fast. The goal is to get promising research into production within days or weeks, not months. This isn't an academic research position - you'll spend as much time in production infrastructure as in training configs, and your success is measured by what ships. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * You've personally run post-training jobs on large language models - RFT/RLVR, preference optimization, or similar. Not just called APIs or written prompts, but actually trained and iterated on models * You can write solid production code. The systems you build need to run reliably, not just produce interesting research artifacts * You're fluent in at least one major ML framework (PyTorch, JAX) and comfortable working with distributed training setups and GPU clusters * You understand the math behind preference optimization, reward modeling, and alignment techniques - and can reason about when each approach fits * You've built or significantly contributed to evaluation systems that capture real-world quality, not just benchmark scores * You can trace a model quality regression from user-facing symptoms back through serving, inference, and training - and you enjoy doing it * You want to ship. Research taste matters, but at Lovable the question is always "how fast can we get this to users?" Preferred: * You've worked on code generation or agentic use cases specifically * You've put post-trained models into the hands of real users and seen how they hold up at scale * You've owned the full loop: curating data, running training, evaluating results, deploying, and monitoring in production * You have a habit of reading a paper on Monday and having a prototype running by Friday * You've experimented with speculative decoding or similar techniques to improve model efficiency * You have strong views on evaluation methodology and have built evals that actually predict user satisfaction * You've published or contributed meaningfully to the open-source ML ecosystem What you’ll do * Own the full lifecycle of Lovable's post-training pipeline - from data curation and training runs through evaluation and deployment * Apply and adapt reinforcement learning, preference optimization, and supervised fine-tuning methods to make our models better at generating code, reasoning about user intent, and acting as reliable agents * Build the evaluation and experimentation infrastructure that tells us whether a model change actually helps users - covering helpfulness, safety, latency, and reliability * Develop and operate the production systems that run training jobs at scale, including GPU orchestration and data pipelines * Work across team boundaries with our agent, product, and infrastructure engineers to turn model gains into product improvements users can feel * Investigate and resolve failures end-to-end - whether the root cause is in a training recipe, a data issue, or a serving regression * Read papers, run experiments, and move fast: the goal is to get promising research into production within days or weeks, not months 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.

Are you a highly driven development engineer looking to join a core product development team working on new technology and product platforms? Ascilion is now recruiting a CAD Development Engineer to the company. The position is full-time and based in our headquartered office in Kista and we are looking for a new colleague to join the Engineering group at Ascilion. At Ascilion we are singularly focused on solving one of medicine’s big challenges: providing real-time access to molecular biomarkers. Ascilion’s proprietary and industry leading microneedle technology enables quick, reliable, and painless access to molecular biomarkers. Our dermal interstitial fluid (dISF) sampling platform can be tailored towards virtually any analytical or sensor technology used within products intended for spot measurement or wearables. In this role, you will be deeply involved from concept to tested product, with responsibility for CAD design, prototyping, and hands-on verification in the lab. You will work closely with members within team but also cross-functionally with dedicated and highly skilled colleagues across multiple disciplines. This is an excellent opportunity for you to join a competent and friendly development team and a growing company with an exciting journey ahead. If this sounds interesting to you, please contact us using the details below! We will interview candidates continuously for the position and welcome your application today. Responsibilities The CAD Development Engineer will be a core member of the new product development team at Ascilion. You will report directly to the CTO of the company. Your main responsibilities will include: Responsibility for CAD design of mechanical and integrated product systems Driving design from concept through prototyping and manufacturing Participating actively in testing, evaluation, and iterative product development Working closely with experts across multiple disciplines including mechanics, electrochemistry, electronics, MEMS, regulatory & quality, manufacturing, and system development Your Profile Key qualifications for the position include: MSc in Mechanical Engineering or similar Expert-level SolidWorks capability, should effectively be able to teach it Strong experience designing for manufacturing, especially injection molded parts Strong understanding of tolerances, manufacturability, and rapid iteration Experience with semiconductor manufacturing and MEMS structures is a strong plus Experience with analog electronics design is a strong plus PCB layout experience is a strong plus We are looking for creative and analytical and structured CAD-professional who enjoys working in a highly dynamic and development environment. As a person, you are curious, problem-solving and solution-oriented, with a strong sense of ownership and accountability. You have strong execution focus as well as strong communication and collaboration skills. You enjoy testing what has been designed and believe that great products are created when top experts from different disciplines work closely together. At Ascilion, you will have the opportunity to make an impact not only in your own area of responsibility, but also on the development of the company as a whole. About Ascilion Ascilion was founded in 2012 with a mission to solve the problem of sampling dermal interstitial fluid in an efficient and pain-free way. A team of engineers with deep experience in MEMS technology and microfluidics took on the challenge of solving what turned out to be a very complex problem. We exist to bridge the worlds of precision engineering and biomarker science, creating innovative microneedle technologies that make dISF accessible, reliable, and painless; empowering researchers, clinicians, and companies to unlock the full potential of health monitoring and diagnostics. We are currently in a very exciting expansion phase where we grow all aspects of the organization from R&D to sales. Our customer base is increasing with numerous close collaborations in Europe, the US and Asia. Come, join our journey! To learn more about us please visit, www.ascilion.com For more information about this position, please contact: Krishan Johansson Haque, PhD Sr Recruitment Consultant, QRIOS Life Science & Engineering T: 0720701653 E: krishan.johansson-haque@qrios.se

At Beiersdorf, home of Nivea, Eucerin, Hansaplast & Labello we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. We act according to our purpose, WE CARE BEYOND SKIN and take responsibility for our consumers, our employees, the environment and society. As our Revenue Growth Manager (RGM), you will join our Nordic Commercial Excellence team, driving sustainable and profitable growth across pricing, promotions, assortment, mix, and trade spend. Using data-driven insights, you will identify growth opportunities, strengthen commercial performance, and support strategic decision-making across the business. Working cross-functionally, you will combine strong analytical skills with effective stakeholder management to lead initiatives that improve revenue, profitability, and market performance. Your Tasks Develop and implement pricing strategies using market, consumer and competitor insights, while monitoring performance across customers and channels to drive growth and profitability. Analyse and optimise promotional investments to maximise ROI, providing recommendations to support effective planning, execution and evaluation. Lead price-pack architecture and assortment reviews, identifying portfolio opportunities that meet consumer and customer needs while driving profitable growth. Monitor sales mix performance and provide recommendations on portfolio priorities to improve value, margin and overall commercial performance. Partner with Finance to improve trade spend visibility and effectiveness, ensuring investments deliver maximum return and support strategic resource allocation. Leverage multiple data sources to identify opportunities, generate actionable insights and forecasts, and translate complex analysis into clear business recommendations. Work closely with Sales, Marketing, Finance, Category Management, Supply Chain and Leadership teams to drive alignment, support decision-making and successfully deliver RGM initiatives. Your Profile Strong commercial and analytical skills Experience in Revenue Growth Management, Commercial Finance, Category Management or FMCG (preferred) Ability to influence stakeholders and work cross-functionally Proactive, performance-driven mindset with strong prioritisation skills Fluent English, written and spoken At Beiersdorf, we see you as a person – far beyond your title or role. Our goal is to provide the flexibility and support you need for your professional and personal success through our work environment. That is why we have a lot to offer! Competitive Salary & Bonus Private health insurance Pension Critical Illness Policy 30 days vacation per year Wellness contribution Meal vouchers Discounted product purchases Hybrid working At Beiersdorf, we believe that every individual brings unique perspectives, experiences, and strengths that deserve to be valued and celebrated. We are committed to fostering an inclusive and supportive environment where everyone feels empowered to be themselves, thrive in their role, and work in ways that enable them to succeed. Through flexibility, understanding, accessibility, and meaningful support, we aim to ensure that all colleagues feel respected, heard, and able to reach their full potential. We invite you to join us in our mission to make a positive impact and contribute to a diverse and dynamic workplace. We are happy to discuss reasonable adjustments at any stage of the process to support you at work.

Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We partner with major global platforms such as Booking.com, Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes a separate fintech entity with its flagship product, PRECISION, a risk management solution, Sweden’s leading flight comparison site Flygresor.se, Tripstack, our B2B Flights as a Service Provider and world leader in virtual interlining, and Wenrix, the embedded AI platform for flights. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay. The Role Etraveli Group is scaling agentic AI across software engineering, finance, sales analytics and beyond. To support this we are looking for an AI Solutions Engineer to serve as a primary technical point-of-contact for our AI initiatives. Together with AI Business Analysis that will identify what we should build, you are responsible for the How. You will both support prototyping and transforming concepts into robust, scalable and production-ready AI systems. Hence, you will bridge the gap between rapid PoCs and core engineering, ensuring all components are reliable, secure and deeply integrated into our tech ecosystem. You will also work closely with Data and Machine Learning Engineers, Product Managers, and business stakeholders across the organisation. This is not a purely technical role. The right person can understand the underlying business needs and answer questions on feasibility and delivering value by selecting the latest AI technologies, agentic frameworks and orchestration patterns that don’t just conceptually look good, but actually solve high-stakes complexities within Etraveli. The role can be based in Gothenburg or Athens. Duties and Responsibilities Architectural Design & Scoping Study project feasibility by evaluating if the available data will suffice for the intended AI solution Perform and communicate Cost-Benefit Analyses and identify factors which are crucial to the success of a given initiative Plan integrations and design how AI solutions will communicate to existing systems Select tools and decide whether to use LLM APIs (Claude, OpenAI, Gemini), agentic frameworks, integration tooling or a more custom-build solution Prototype Development Build functional versions of AI workflows to show stakeholders how they will work in the real world Facilitate integrations between LLMs and our internal data sources, APIs and other travel platforms Customise general AI products for specific in-house use cases Productionising AI workflows Wrap AI solutions in robust APIs and deploy them into our in-house cloud so other teams can use them Own the technical architecture for AI implementations, ensuring they are scalable, maintainable, and cost-effective Collaborate with DevOps and Security teams to ensure AI solutions meet enterprise-grade privacy and compliance standards Observe deployed LLM based solution, tracking usage and costs together with more technical metrics such as drift or latency Technical Consulting & Advocacy Stay on top of latest LLM and agentic AI developments and bring relevant capabilities to the attention of the team Lead technical evaluations of new frameworks with regard to their potential of enabling new initiatives Act as the technical subject matter expert for AI within the tech organization supporting the organisation's transition to working with LLMs and agentic AI tools – helping teams move from curiosity to confident, productive use Requirements 3–5 years with a solid foundation as a Machine Learning Engineer or Backend Engineer focused on ML systems Understanding of core architectural components in modern AI systems Proficiency in Python with the ability to build scalable high performance services and integrated complex ML and AI logic into production environments Proven experience in deploying open source LLMs on on-prem infrastructure or building using external LLMs Strong understanding of RAG, vector databases and the infrastructure required to support data-heavy AI applications Exposure to concepts like CI/CD and Orchestration and a basic understanding about service monitoring and alarms as well as secrets management Benefits Our office is located in Merkurhuset in Gothenburg, a few steps away from public transport and lunch restaurants. We work on a hybrid-model where you can choose to work two days from home and you have two weeks per year that you can choose to work from a remote location We love gaming and after work activities. We know the value of personal development and continuous training. Hackathons and Dev Weeks - We believe in promoting creativity and trying new things. Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc. Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident. Daily breakfast – To kick the day off just right, breakfast is available at the office every morning. As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form. Diversity disclaimer At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.

Department of Soil and Environment About the position The exact tasks will depend on the skillset of the researcher and desired employment duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able to communicate effectively in oral and written English. The applicant is expected to have a lab-based PhD in the biological sciences, though applicants with a masters degree and at least two years of full-time lab experience in molecular biology after completion of their degree will also be considered. Experience in one or more of the following will be seen as assets: single cell RNA sequencing, anaerobic cultivation, bacterial physiology, project management, and method development. Personal fit will be an important part of the evaluation process. Important traits are the ability to work critically and independently, manage time efficiently, show attention to detail, and come to work each day enthusiastic. Due to the short-term nature of this position, candidates already located within commuting distance of Uppsala will be favored. About us The Department of Soil & Environment conducts research, environmental monitoring & assessment and higher education for sustainable soil management in agriculture, forestry and urban environments. Outcomes are aligned to and contribute towards national and international strategies on food security, national environmental objectives and climate reporting as well as the 2030 Agenda for Sustainable Development. The majority of the department's activities and employees are located in the Soil-Water-Environment building on the SLU Ultuna campus in Uppsala, and there is a research group and a field research station situated in Skara. Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Fixed-term employment 3 months Scope: 80% - 100% Start date: As agreed. Application: Please submit your application before deadline 10th of August 2026. You can submit your application by clicking the button below. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP Responsibilities Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. Developing client churn models that give the business early, actionable retention signals. Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. Mentoring junior data scientists and setting technical standards across the team. Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. What you'll bring Must-haves Around 5+ years of professional data science experience, with a clear track record of successes. Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves Experience with Databricks for large-scale data processing and collaborative workflows. Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. ---------------------------------------------------------------------------------------------------------------------------------- About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities * Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. * Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. * Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. * Developing client churn models that give the business early, actionable retention signals. * Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. * Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. * Mentoring junior data scientists and setting technical standards across the team. * Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. ---------------------------------------------------------------------------------------------------------------------------------- What you'll bring Must-haves * Around 5+ years of professional data science experience, with a clear track record of successes. * Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. * Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. * A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. * Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. * Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. * Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. * Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves * Experience with Databricks for large-scale data processing and collaborative workflows. * Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). * Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. * Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. * Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Do you thrive on making complex systems transparent and reliable? As an Observability Engineer at Axis, you'll play a key role in ensuring that our teams can see, understand, and trust the behavior of the platforms that power a smarter, safer world. Join us at our HQ in Lund! Who is your future team? This is a recently established role within our Information Systems department, deeply embedded within IT Infrastructure. You will work as a technical bridge, collaborating closely with infrastructure leads and managers to define and build the observability capabilities required to support our global operations. Your primary partnership will be with the IT Security Group (IT-SG). Together, you will ensure that our infrastructure serves as a secure and reliable foundation for Axis' commercial offering. While IT-SG manages the link between IT and the business - including service-level commitments, compliance, and security oversight - your focus will be on the technical telemetry that makes this possible. You'll be surrounded by experienced engineers who are passionate about operational insight and system reliability, and who are looking for someone who shares their curiosity and drive to continuously improve. What you'll do here as Observability Engineer In this role, you'll help operate and evolve our observability platform across logs, metrics, monitoring, and system insights. Your work directly impacts the visibility and reliability of the infrastructure that supports Axis worldwide - making this a role where your operational contribution truly matters. Support the day-to-day operation of observability platforms (primarily Elastic Stack and Zabbix) to ensure stability, performance, and data quality Participate in incident troubleshooting and root-cause analysis by correlating logs, metrics, alerts, and system behavior Maintain and improve log ingestion and processing pipelines, including parsing, transformation, and Elastic Common Schema (ECS) alignment Operate and tune monitoring solutions, including host, item, and template management in Zabbix as well as alerting and escalation rules Improve visibility across the organization through better dashboards, signal coverage, and alert quality Contribute to operational documentation, runbooks, and observability best practices Support the evaluation and adoption of complementary tools such as OpenTelemetry, Cribl, Vector, and Grafana as the platform evolves toward a more unified observability approach Who are we looking for? We're looking for someone who is analytical and structured, with a genuine curiosity for understanding how systems behave - and what happens when they don't. You enjoy troubleshooting, connecting dots across different data sources, and finding patterns others might miss. You're collaborative by nature, comfortable working alongside senior engineers, and eager to both learn and share knowledge. You take initiative to improve things proactively and you communicate clearly, whether you're writing a runbook or explaining a complex issue to a colleague. We'd love to hear that you have: Experience working with observability systems, including logs, metrics, and monitoring Strong Linux system administration skills, including troubleshooting and performance analysis Practical experience with Zabbix (installation, configuration, or operational maintenance, templates, and alerts) Familiarity with Docker-based environments Working knowledge of scripting and automation using Python Comfortable working with JSON and YAML Bonus points if you also bring: Hands-on experience with Elasticsearch or Elastic Cloud Enterprise (ECE) Experience creating and maintaining Kibana dashboards Familiarity with Grafana Exposure to OpenTelemetry concepts or pipelines Basic JavaScript knowledge for customization or integrations An interest in developing deeper expertise in observability or platform engineering What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. This position is based at our Lund HQ Campus, including the impressive Grenden building, which offers a dynamic environment with spaces crafted to encourage collaboration - whether through informal "fika" chats, formal meetings, or after-hours activities. The role is primarily on-site with hybrid flexibility Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period of time, you can expect some delay in our response, but we will get back to you as soon as possible! If you have questions about the position, please reach out to recruiting manager Joel Cedergren at +46 46 272 18 00 (Switchboard)

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Data Scientist to join us in making the energy transition happen – maybe that’s you? ---------------------------------------------------------------------------------------------------------------------------------- Job Mission 🚀 As a Senior Data Scientist, you will help accelerate Data Science at Tibber by bridging the gap between advanced data science and robust production systems. You'll play a key role in building predictive data models that increase our metric of savings per kWh. ---------------------------------------------------------------------------------------------------------------------------------- What you'll do ✅ * Lead the ML platform build. Own the direction of our ML infrastructure: model registries, versioning, monitoring, drift detection and automated retraining, and take it from good to great. This is the core of the role, especially in your first year. * Ship models that move the metric. Develop and deploy forecasting, optimization and personalization models that plug straight into live products like Smart Charging and dynamic pricing. * Strengthen the impact chain. We evaluate every data science service against clear goals. You'll help us take the next step: connecting model quality all the way to realized savings per kWh, through counterfactual evaluation and decision-quality metrics. * Raise the bar with your peers. Review code, sharpen best practices and shape how a senior team works with LLM and agentic AI tools, as colleagues not students. * Own end-to-end delivery. Drive the full lifecycle from problem framing and data sourcing to production deployment and continuous improvement. ---------------------------------------------------------------------------------------------------------------------------------- What we're looking for⚡ You are driven by impact, enjoy fast-paced environments, and thrive when given autonomy. You've built an ML platform before and know how to go beyond models that work in a notebook to a system a team can trust. We believe you'll be a great fit if you: * Have a proven track record of developing production-grade ML platforms with drift detection, model registries and CI/CD workflows, and can point to teams that shipped faster because of what you built. * Possess deep technical skills in Python and hands-on experience with cloud ML infrastructure like Databricks MLflow, AWS SageMaker or an equivalent. * Bring deep expertise in at least one ML domain we run in production: time-series forecasting, optimization algorithms or personalization at scale. * Think in platforms, not patches: you build repeatable workflows and you know how to onboard a team of experienced peers into them. * Handle ambiguity well and communicate complex data concepts clearly to product and engineering stakeholders. * Embrace LLM and agentic AI tools as part of how modern data science gets done. * Bonus: experience with energy time-series data, smart charging or grid optimization. ---------------------------------------------------------------------------------------------------------------------------------- 💆🏻‍♀️💆🏽‍♂️The Tibber Mindset Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life. We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves! Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started. You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.

Welcome to SSC Space, the perfect workplace for those passionate about technology in general and space in particular. With space organizations, research institutes, institutional and commercial actors as customers, we offer specialist expertise in satellite communications, space consulting services, rocket and balloon systems, flight test services, satellite propulsion systems, and much more. SSC Space also operates one of the world’s largest global networks of ground stations for satellite communications and owns and operates the Esrange Space Center in Kiruna, northern Sweden, with the aim of launching satellites soon. As a Service Delivery Manager and as a part of our Service Assurance team, you will play a vital role in ensuring service performance and managing the lifecycle of contracts for our satellite communication customers. We are looking for a dedicated individual who shares our core values: Customer Passion, Care, Collaboration, Curiosity, and Courage. The Service Delivery Manager is responsible for ensuring successful execution and performance of customer contracts. This role is the primary operational interface for our satellite communication customers, responsible for monitoring and reporting service performance, managing incidents, and facilitating contract renewals. Join us on this journey of innovation and exploration where your skills can make a significant impact in our dynamic and globally-connected environment. Apply now and be part of the team that's revolutionizing satellite services! JOB REQUIREMENTS Bachelor’s degree in a scientific/technical field or equivalent experience managing technical customer accounts. Experience working directly with customers in a technical or service-oriented environment. Strong understanding of technical systems and operational instructions. Proficiency in MS Excel, Power Point and SharePoint. Excellent communication and documentation abilities. Highly structured and organized approach. Business-oriented mindset with customer focus. Strong analytical abilities; able to interpret technical data. Self-driven with the ability to work independently. Effective team collaborator. Due to the high security classification of this role, EU citizenship is required. Driver’s license.  Preferred Experience Contract management Experience . JIRA. JOB RESPONSIBILITIES Service Performance & Customer Interface Serve as the main operational point of contact for assigned customers. Monitor and track service performance across customercontracts. Prepare and deliver regular internal and external performance reports. Conduct internal and external service reviews and support preparations for contract renewal. Identify and manage scope creep, ensuring additional requests are properly evaluated and not accepted by default. Incident Management Follow up on service-related incidents and initiate internal escalation when required. Ensure timely and accurate incident reporting to customers. Contract Execution Oversee contract fulfilment and adherence to service commitments throughout the lifecycle. Provide input for customer invoicing and oversee accuracy of billable service components. Support project establishment and service lifecycle transitions. Internal Collaboration Coordinate with internal sales, engineering, operations, and management stakeholders. Trigger internal escalation processes to resolve service delivery risks. Drive service review actions and follow up to completion. JOB BENEFITS We offer you A unique opportunity to contribute to a wide range of projects and play an active role in both the Swedish and international space industry. An excellent opportunity for personal and career development. An exciting, international workplace characterized by an open atmosphere and proud employees all over the world. Additional benefits In addition to vacation and traditional public holidays, we offer extra paid leave throughout the year, such as time off between Christmas and New Year, Ascension Day, amounting to 6-11 extra days depending on the calendar. Wellness allowance of SEK 5,000 per year. Health benefits such as voluntary health insurance and regular health checks for eligible employees. Access to a benefit bike through a tax-efficient leasing program. Support for employee-driven activities that promote connection, health, and culture across teams. Collective Agreement, including good pensions plans, parental pay and insurance. Location This is a permanent full-time position located preferably in Kiruna. For the right candidate there will also be a possibility working from our office in Solna, Stockholm. Further information For questions regarding employment terms or union-related matters, you are welcome to contact our union representatives: Sveriges Ingenjörer: SverigesIngenjorer-AF@sscspace.com Unionen: unionen@sscspace.com Next step If this opportunity sparks your interest, don’t wait to apply! When applying, please include your CV. While you are welcome to include a brief personal note or letter, our evaluation will primarily focus on your skills and qualifications as outlined in your CV, ensuring a fair and unbiased recruitment process. Due to the summer holiday period, we will resume this recruitment in August. Feedback may therefore take longer than usual, and we appreciate your understanding during the summer. This position requires approved pre-employment screening. These controls are based on the role that you will fulfill within the company. Additional requirements regarding citizenship may apply. We help Earth benefit from space SSC Space is a leading global provider of advanced space services, with more than 50 years of experience. We help space organizations, research institutes, commercial and institutional actors from all over the world to get access to space. With local presence on all continents and about 700 committed employees, we offer specialist expertise in satellite communications and satellite control services, spacecraft operations, rocket and balloon systems, launch services and flight test services, as well as engineering, operations and consultancy services for space missions. We help Earth benefit from Space. Learn more at sscspace.com