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🎮 VI FÖRVANDLAR TOMMA YTOR TILL SPELHALLAR – VILL DU HÅLLA DEM RULLANDE? PlayFun ställer ut spelmaskiner hos restauranger, barer, köpcentrum, butiker och campingar – från Stockholm ner till Göteborg. Ibland handlar det om en enda kiddie ride i en galleria, ibland om en hel spelhall med 40 maskiner. Varje månad har tusentals människor kul tack vare våra maskiner. Nu växer vi. Under 2026 och 2027 öppnar vi flera nya enheter – och vi söker dig som vill vara med och bygga dem. 🚐 VAD DU KOMMER ATT GÖRA Du rullar ut med din arbetsbil fyra dagar i veckan och besöker våra anläggningar enligt ett körschema. Du sköter och rengör maskinerna, ställer tillbaka det som besökarna flyttat på, felsöker och reparerar. När vi öppnar nya enheter tar du emot leveranserna från utlandet, packar upp maskinerna och installerar dem på plats. Du jobbar mestadels själv, med veckomöte tillsammans med oss ägare. Ingen chef som andas dig i nacken och ingen stämpelklocka – det viktiga är att enheterna besöks enligt schema och håller toppskick. Hur du lägger upp dagen är i hög grad upp till dig. 🔧 VEM DU ÄR ⚙️ Tekniskt intresserad och gillar att lista ut hur saker fungerar 🧭 Självgående, tar egna beslut och hittar kreativa lösningar istället för att vänta på besked 💪 I god fysisk form – många maskiner är tunga och du behöver kunna hugga i 🚗 B-körkort Du behöver inte ha jobbat med spelmaskiner tidigare. Vi lär upp dig från grunden. Men viljan att lära måste komma från dig. Vi är ett litet, snabbfotat bolag som lever på bra maskiner, bra lägen och hög service. Det passar dig som gillar frihet under ansvar och inte trivs med paragrafrytteri. 💰 VAD VI ERBJUDER Fast lön plus provision på varje ny enhet vi öppnar. Vi har flera etableringar i loopen – och för varje ny plats som rullar igång växer din lön. Det är ingen luftig morot långt fram i tiden, du ser den i lönespecen. 🚙 Egen arbetsbil ⏰ Fria arbetstider inom körschemat 🎓 Full upplärning – vi står för allt 🚀 En plats i ett bolag där du faktiskt får vara med och bygga Vi tänker långsiktigt. Går det bra för oss ska det gå bra för dig. 📌 DET DU OCKSÅ SKA VETA Arbetet sker till stor del i ensamhet. Det är fysiskt. Och några gånger om året blir det intensivt när en ny enhet ska upp – då kan det handla om längre pass flera dagar i rad, som du självklart får kompenserat i ledig tid efteråt. Vi säger det redan i annonsen, för vi gillar raka puckar. Tjänsten är på c:a 75 procent, fyra dagar i veckan enligt körschema, med möjlighet att växa i takt med att vi öppnar fler enheter. 📨 ANSÖK Skicka några rader om dig själv och varför just du passar hos oss. Vi läser ansökningarna löpande och tillsätter tjänsten så snart vi hittat rätt person – så vänta inte för länge.
About Kambi Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world’s leading sports betting experiences, together with our partners. Security Operations Engineer We are now hiring for a Security Operations Engineer to join our Security team. This team drives the security programs within the business, with a heavy focus on people, processes, and automation of services. Kambi is looking for someone who wants to encourage and foster a culture of security awareness and regulatory compliance by making it easy for those less knowledgeable to Do It Right. About the Security team: You would be implementing technologies for vulnerability management, authentication and identity management, and creating security with automation. A focus for our team is to create paved roads for Development and Operations teams, to ensure they can easily secure their applications and maintain security throughout the organization. The Security Operations team also responds to incoming security threats and incidents. We provides expert security knowledge to the wider organisation. We use automation tools like Puppet, Ansible and Terraform, and work in a diverse environment with physical and virtual machines, as well as containerized workloads both on-prem and in AWS. About you: We will be very happy if you have commercial industry experience working in a security team, in either offensive or defensive roles. Additionally, previous experience working with Linux or AWS is needed, and it’s a huge bonus if you have spent time working with actively with security in these areas. Prior experience with identity and authentication systems for web and Linux integrations are valued. We'd love if you were investigative, curious and passionate about security and privacy. What’s in it for you? * Help to secure people, every day * Opportunity to work in a successful and fast-growing company * A fun, flexible and Agile working culture * Ability to directly influence your and your teams’ work environment and processes * International work environment * Opportunities to travel Additional information: Due to the summer holiday period, the interview process will begin in August. We appreciate your patience during this time. Security Engineer I Security Operations Engineer I Cyber Security Engineer I DevSecOps Engineer I Security Consultant If you're excited about this opportunity and ready to make an impact, we’d love to hear from you—apply via our careers page. #wearekambi Kambi's ongoing commitment to Diversity and Inclusion in the workplace If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback. Creating an inclusive environment We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today. #wearekambi
Position Overview The Applied Machine Learning Lead is a senior, hands-on role responsible for ensuring Data Science and Machine Learning initiatives deliver measurable business value. The role combines product ownership, roadmap management, advanced analytics, production-ready machine learning engineering, experimentation ownership, technical standards, and deep iGaming expertise. The focus is on identifying high-value opportunities, prioritising initiatives, delivering robust and scalable data science solutions, evaluating outcomes, and driving adoption of data-driven decision-making across the business. Success in this role is measured not only by model performance, but by the impact those models have on player behaviour, commercial outcomes, product performance, and the ability of the Data Science function to deliver reliable, reusable, and scalable solutions. Key Responsibilities Lead and perform advanced commercial and business-focused analyses to support strategic decision-making. Design, build, deploy, and maintain production-grade statistical and machine learning models, applying software engineering best practices to improve maintainability, reliability, testing, observability, and speed from experimentation to production. Own the end-to-end experimentation lifecycle, from hypothesis definition and experiment design through implementation, validation, analysis, interpretation, and iterative optimisation. Ensure analytical recommendations and model outcomes are grounded in statistically sound methods and commercially meaningful results. Review, validate, and challenge analytical work, experiments, and machine learning models to ensure technical correctness, robustness, scalability, and business relevance. Own and manage the data science backlog and roadmap, prioritising work in collaboration with stakeholders Translate complex business problems into well-scoped initiatives with clear objectives, success criteria, and measurable outcomes. Provide technical leadership on modelling approaches, feature engineering, validation methods, experimentation design, deployment practices, and continuous improvement of machine learning solutions Develop reusable machine learning capabilities, analytical workflows, and technical standards to improve quality, consistency, scalability, and efficiency across the Data Science function. Establish and promote standards for model review, documentation, feature engineering, validation, testing, monitoring, and production readiness. Drive continuous improvement of the machine learning platform and team practices, including MLOps, AI-assisted development, automation, engineering productivity, and modern ways of building and operating ML systems. Support and ensure adherence to governance, lifecycle management, and relevant policies and processes. Monitor model performance, data drift, and impact; ensure appropriate retraining and continuous improvement. Lead and manage the Data Science team, including coaching, feedback, performance discussions, and day-to-day prioritisation. Collaborate closely with product, developers, and commercial teams to deliver data-driven solutions end-to-end Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical audiences Requirements Extensive experience in applied data science, analytics, and machine learning. Strong proficiency in Python. Solid understanding of statistical modelling, predictive analytics, experimentation, hypothesis testing, causal reasoning, and model validation. Experience designing, analysing, and interpreting experiments such as AB tests. Experience working with SQL and large-scale datasets (e.g. in Databricks / Spark environments). xperience designing, deploying, maintaining, or reviewing models in production or business-critical workflows. Practical understanding of software engineering best practices relevant to machine learning, including testing, version control, code review, documentation, monitoring, and maintainability. Experience with MLOps concepts and practices, including model lifecycle management, monitoring, retraining, deployment workflows, and production readiness. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Proven experience leading or mentoring data scientists in a professional setting. Experience working cross-functionally with product, engineering, analytics, commercial, or operational teams to deliver measurable outcomes. Experience in iGaming, gaming, e-commerce, fintech, or another high-volume digital product environment.Strong analytical judgement and structured problem-solving ability. Confident technical leader with the ability to challenge, guide, and improve others’ work. Strong understanding of how to build reliable, maintainable, and production- ready machine learning solutions, not just experimental models Clear, concise communicator able to influence both technical and non- technical stakeholders. Comfortable making prioritisation decisions in environments with competing demands and incomplete information The above duties provide a generic description of the Employee’s day to day responsibilities but should in no way be deemed to be an exhaustive list. Additional related, duties may be assigned by the Line Manager in line with business exigencies and continuity. Why Work With Us? At Silverspin, we take bold but thoughtful approaches to what we build and how we work. We act with confidence and responsibility, focusing on smart decisions, meaningful impact, and long-term success. Joining us means being part of a team that values curiosity, ownership, and collaboration. We encourage people to challenge ideas, simplify complexity, and grow together - creating an environment where great work (and good energy) go hand in hand. We offer: Competitive salary and benefits Opportunities to learn, grow, and develop A creative, collaborative team environment Silverspin is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Would you like to play a key part in Toca Boca’s Data & Research engine? With over 60 million monthly active users and terabytes of daily data, as a Senior Data Scientist, you will play an integral role in understanding how kids and families engage with our play ecosystem, directly shaping fantastic, safe, and imaginative play experiences. At Toca Boca, we don’t lock you into narrow corporate silos or endless maintenance tasks. As a Senior Data Scientist, you will enjoy broad end-to-end ownership across the entire product lifecycle—from exploratory data science, advanced modeling, and experimentation to product strategy and monetization dynamics. You’ll join our Data & Analytics team while partnering seamlessly with our User Research team under a unified Insights banner. Together, we blend big data behavioral telemetry with qualitative player research, working closely with cross-functional game teams to unlock the full value of our play ecosystem. What you’ll be doing Uncover Deep Player Insights: Analyze complex player datasets to understand behavioral patterns, feature engagement, and retention drivers across our games, informing overall product and commerce strategy. Apply Advanced Statistical Methods: Apply statistical models, regression analysis, predictive segmentation, and experimental methods (A/B testing) to optimize product performance at scale. Bridge Quantitative & Qualitative Insights: Partner seamlessly with our User Research team under a unified Insights banner, connecting the "what" (big data trends) with the "why" (qualitative research) to deliver a 360-degree understanding of our players. End-to-End Ownership & Influence: Take full ownership of complex, ambiguous game product questions. Partner directly with PMs, Designers, and Engineers to translate complex datasets into clear, data-backed recommendations. Innovate & Evolve Workflows: Continuously refine our analytics capabilities by leveraging modern data science workflows, predictive modeling, and AI tools to accelerate discovery and analysis. What Success Looks Like Trusted Co-pilot: You become a trusted analytical partner to game teams, shaping product decisions through rigorous data science, experimentation, and player empathy. Broad Impact: You thrive with the freedom to influence multiple product areas—from core play loops and feature design to commerce and top-of-funnel engagement—without being pigeonholed. Holistic Insights: You successfully bridge quantitative behavioral data with qualitative user research to create unified narratives that inspire game design. Autonomy & Momentum: You help teams move quickly by surfacing key facts, reducing ambiguity, and solving open-ended problems that don't have predefined playbooks. Is This You? 3+ years of experience (or equivalent senior-level impact) in user-focused Data Science or Advanced Product Analytics within Gaming, Mobile Apps, or Interactive Digital Products. Empathy & Product Sense: Deep curiosity and intuition for player experience, engagement, and kids' digital environments. SQL Mastery & Data Exploration: Outstanding SQL skills querying cloud data warehouses (experience with Google BigQuery and DBT is a huge plus). Advanced DS Toolkit: Proficiency in Python (or R) for statistical modeling, machine learning, segmentation, and exploratory deep dives. Experience with BI tools like Tableau or Looker is a great plus! Rigorous Statistical Foundation: Strong track record in experimentation lifecycle design, A/B test analysis, and hypothesis testing. AI & Modern Workflows (Nice to have): Curiosity or Hands-on experience building, integrating, or utilizing AI/LLM tools within your data workflows or analytics stack. Clear Storytelling & Autonomy: Skilled at translating complex quantitative and qualitative data into simple, compelling recommendations for non-technical partners. Thrives with high autonomy in fast-paced environments. This is us! Toca Boca together with Sago Mini, Lylli and Originator, make up Digital Games within Spin Master. We create games, digital toys, and everyday products that are filled with fun that kids from any corner of the world can instantly relate to. We celebrate the diversity and quirkiness of their world and give them the freedom to play in ways that only they can. The Spin Master Mission and Vision is to make life more fun by pushing the boundaries of innovation, creativity, and fun! Good to know! This position is full time and based in our Stockholm office with a hybrid working model. We apply a 6-month probationary period. As we’re an international company, with over 20 nationalities working here, and millions of users all over the world, you must be fluent in English. Toca Boca develops digital games that capture the power of play and that are filled with fun and silliness that kids around the world can instantly relate to. Since our first product launch in 2011, we have released 46 apps that have been downloaded more than 444 million times the world over, making us the No. 1 mobile-first kids brand in the App Store. Our products focus on sparking kids’ creativity and imagination, creating opportunities for open-ended play. With offices in Stockholm and San Francisco, Toca Boca is owned by Spin Master Corp., a global children’s entertainment company that creates, designs and manufactures a diversified portfolio of innovative toys, games, products and entertainment properties.
About Kambi Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world’s leading sports betting experiences, together with our partners. Purpose Be part of a highly skilled, self-organized engineering team building scalable data and machine-learning infrastructure in the cloud. You’ll help design and evolve event-driven data pipelines and model-serving capabilities that power high-value decision-making across the business, working closely with key stakeholders and quantitative analysts to turn complex data into actionable insights and deliver Player and Risk Management products. Key Responsibilities Collaborate with engineers and analysts to design, implement, and maintain cloud-native data and ML services. Build and optimize streaming and batch data workflows with Kafka, dbt/SQL, and related technologies. Develop robust backend components and services in Java/Spring Boot and contribute to model-serving capabilities in Python where appropriate. Contribute to architectural discussions and propose practical solutions in a fast-moving, exploratory environment. Champion best practices in testing, monitoring, and observability to keep data products reliable and secure. Desired Skills & Experience (You don’t need to tick every box, strong skills in several areas plus willingness to learn are what matter most.) Java/Spring Boot expertise (core requirement). Proficiency in Python for data and ML workflows. Hands-on experience with cloud platforms (AWS, GCP, or similar) and modern CI/CD pipelines (e.g., Jenkins, Argo CD). Familiarity with Kafka and dbt/SQL for streaming and transformations. Experience with Spark or similar distributed processing frameworks is a plus. Personal Qualities (Critical for Success) Driven & Self-Motivated – thrives when goals evolve and problems are ambiguous. Communicative & Collaborative – shares ideas openly and builds trust across disciplines. Curious & Adaptive – eager to explore new tools and approaches. Humble & Team-Oriented– values collective achievement in a highly self-organized team. Interested in learning more? Please submit your CV and a cover letter — we’d love to hear from you! #wearekambi Kambi's ongoing commitment to Diversity and Inclusion in the workplace If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback. Creating an inclusive environment We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today. #wearekambi
Tobii is the global leader in eye tracking and a pioneer in attention computing. For more than 20 years, we have built technology that understands human attention and intent. Our solutions enable scientific breakthroughs, assistive communication, immersive gaming, safer training environments and the future of human machine interaction. Our technology is used by thousands of companies, universities and research institutes around the world. Many of our customers operate at the frontier of behavioral science, neuroscience and human computer interaction. Headquartered in Stockholm, Tobii operates globally and is listed on Nasdaq Stockholm (TOBII). We are now looking for a people driven and technically curious leader to take responsibility for our Global Customer Care organization and lead a distributed technical support team working close to both customers and engineering. The Opportunity In this role, you will lead a global technical support organization responsible for helping customers succeed with Tobii’s hardware and software solutions after purchase. Your team investigates technical issues, guides customers and resolves complex cases in close collaboration with Product Management, Engineering and Supply Operations. You will manage a distributed team in Sweden, Japan, China and Korea, ensuring efficient case handling, clear ownership and strong collaboration across regions. A unique opportunity to lead a global support team while staying close to both the technology and the customers. Insights from your team help identify patterns, resolve complex issues and contribute to improving the next generation of Tobii products. Your mission • Lead and develop a global team delivering post sales technical support across hardware and software products • Ensure cases are handled professionally, efficiently and with clear ownership from start to resolution • Set goals for the team and team members and secure execution • Provide onboarding, mentoring and coaching to team members • Identify recurring issues and escalate them to Product Management and Engineering • Coordinate support processes, action plans and ways of working across regions • Remove obstacles for the team and ensure focus, efficiency and high service quality • Act as the bridge between customer support and internal product development • Represent the team toward management and ensure clear internal communication We hope you have • An academic background within Psychology, Neuroscience, Computer Science or a related field • Experience leading a distributed team and building a collaborative environment • Several years in customer-facing roles, ideally within technical or systems support • Strong technical understanding and the ability to troubleshoot across hardware, firmware and software • Experience collaborating with engineering teams to investigate technical issues • Strong analytical and problem-solving skills • Business level English in speaking and writing Who are you? You are a hands-on and collaborative leader who enjoys working where customers, technology, and product development intersect. You bring a strong sense of ownership and a succeed together mindset. You are technically curious and enjoy diving into complex issues, identifying patterns and working with engineering and product teams to find the root cause. As a leader, you stay close to the work and support your team in their daily cases. You create clarity, collaborate with stakeholders across the organization and ensure the team delivers efficient and high-quality technical support. The recruitment process Applications are reviewed on an ongoing basis. Please submit your application today, we look forward hearing from you!
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.