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Headquarters: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm's business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Analyst I roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As an Analyst I in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions. You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights. You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently. What You Will Do Derive Insights & Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies. Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members. Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models. Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies. Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite. AI Fluency & Efficiency: Integrate AI tools such as Cursor, Claude Code, and copilots into your daily workflows to accelerate data mining and routine tasks, while carefully verifying outputs. What We Look For 1–3 years of experience in an analytically driven role. Relevant internships or prior experience in consumer lending, fintech, or the broader financial services industry are highly valued. Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field. Solid working knowledge of SQL, Python, or other scripting languages. Familiarity with data mining, data visualization, and foundational statistical modeling. Basic understanding of, or deep curiosity about, consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems. Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers. Pay Grade - I Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay range (CA, WA, NY, NJ, CT) per year: $115,000 - $165,000 USA base pay range (all other U.S. states) per year: $101,000 - $151,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. To apply: https://weworkremotely.com/remote-jobs/affirm-analyst

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As a Software Engineer in Forensic Intelligence, you'll work within a team building capabilities that enable public safety agencies to investigate and analyse the video evidence that officers rely on every day, stored in Evidence.com. You'll contribute to a technically diverse and challenging domain - spanning media processing pipelines, forensic analysis tools, and video format R&D - with mentorship from experienced senior engineers. This is a role where you'll grow quickly, working across the stack on problems that directly support Axon's missions to Protect Life and Preserve Truth. Work Location: This role is based out of our London office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. What You'll Do Develop features across the team's scope - from forensic playback and investigation tooling to media processing pipelines and format analysis capabilities Collaborate closely with Product Managers to understand customer needs and ensure clear understanding of requirements Contribute to the quality and reliability of the team's systems through code reviews, test automation, and thoughtful engineering practices Work across the stack, learning new technologies and building expertise in the team's domain Participate in operational ownership of the team's services, including on-call support Join forces with engineers across London, Seattle, and Ho Chi Minh City to deliver capabilities used by hundreds of thousands of public safety professionals globally What You Bring Preferably a Bachelor's Degree in Computer Science, Engineering, or related field Experience with at least one of: TypeScript/React, Python, or C/C++ Demonstrated ability to take ownership, navigate ambiguity, and collaborate with your team to solve challenging problems Genuine curiosity and a passion for learning - you're excited by unfamiliar domains and new technologies Good communicator, able to explain your thinking clearly and ask good questions Desirable: Interest in or exposure to video, media processing, or digital forensics Desirable: Experience with cloud platforms (Azure preferred) Benefits That Benefit You Competitive base salary and RSUs Pension plan with matching contributions Private health insurance and cash plans 30 days paid holiday plus UK public holidays Enhanced maternity and paternity leave GymPass subscription Life assurance and income protection Career growth, learning support, and wellness resources Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not ----- or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to Find Jobs in United Kingdom on Arbeitnow

Join Our Team as a Technical Delivery Lead at Beyond Sports Are you excited about machine learning, technical leadership, and building the systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports, we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real-time sports data, 3D graphics, and AI-driven storytelling. If you're passionate about leading technical teams, scaling machine learning systems, and staying hands-on with engineering while shaping delivery strategy, this could be your next move. What Your Day Will Look Like As a Technical Delivery Lead, you'll sit at the center of engineering execution, technical strategy, and machine learning innovation. Your role combines leadership with hands-on development. You'll guide engineering squads delivering complex AI-driven systems while contributing directly to architecture, Proof of Concepts, and high-complexity technical challenges. You'll work closely with Machine Learning Engineers, Tech Leads, Technical Architects, Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences. One day you might be shaping scalable ML pipelines for motion synthesis and trajectory prediction. The next, you could be prototyping cloud-hosted inference services, reviewing technical approaches, or stepping into the codebase to unblock delivery. You'll help teams apply cutting-edge ML techniques, including Transformers, Graph Neural Networks, Diffusion models, and real-time geometry pipelines, while ensuring solutions remain scalable, maintainable, and production-ready. Because we believe leadership starts with technical credibility, you'll stay hands-on at your core. Around 60% of your time will involve active engineering work: building POCs, solving difficult technical problems, improving tooling, and supporting critical delivery initiatives. You'll also help evolve engineering standards, delivery practices, and technical governance across the business. What We Value At Beyond Sports, we move fast, experiment boldly, and trust our people. We believe the best results happen when engineers, artists, ML specialists, and creatives work together to build things that genuinely haven't existed before. You'll fit right in if you: Love applied machine learning and engineering leadership Enjoy turning ambitious ideas into scalable production systems Stay hands-on technically and enjoy solving difficult problems Think in systems, architecture, and long-term scalability Communicate complex technical ideas clearly Care deeply about quality, maintainability, and technical standards Stay curious about modern ML, cloud, and real-time technologies Your Background You don't need to tick every box, but we're generally looking for: Strong experience in software engineering, technical delivery, or technical leadership Experience deploying ML systems into production, including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands-on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models (e.g. diffusion, flow, or GANs) — applied to any domain; experience with spatiotemporal, time-series, or motion/trajectory data is a strong plus. Experience balancing leadership responsibilities with active development Strong stakeholder communication and delivery planning skills Nice to Have (But Not Required) Strong understanding of scalable systems, APIs, and cloud-native architectures Understanding of real-time data systems or 3D graphics pipelines Experience with Unity or game engines Interest in football or other team sports Why Level Up Your Career at Beyond Sports Fast-moving, creative, and technically ambitious — that's our world. High impact: Your work shapes how millions experience sports globally Technical ownership: Influence architecture, delivery strategy, and engineering standards Hands-on innovation: Help build the future of our technology stack Constant learning: From ML research to real-time 3D systems, there's always something new Real collaboration: Engineers, artists, and product teams working side by side Ready to Build the Future of Sports? If you're excited about leading technical delivery while staying deeply involved in machine learning, real-time systems, and scalable engineering — and want to help shape technology that changes how fans experience the game — we'd love to hear from you. At Beyond Sports, you won't just deliver technical projects. You'll help bring sports to life! Find Jobs in United Kingdom on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. Kraken Utilities Our tech platform 'Kraken' is already licensed to support 90 million customer accounts globally, and we aim to serve 100 million by 2027. Kraken is the most AI-driven, innovative, forward-thinking platform for energy management. From optimising resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications. We're now charging the Kraken platform to other utility industries (Water and Broadband) and have created a new team called - Kraken Utilities. Over the last 3 years we have built this team from scratch to re-architect, design, and develop our Kraken software platform to solve complex industry wide problems within the water and broadband sectors (such as customer experience & water leak detection). The Kraken Utilities team is in a very exciting growth phase, and has already signed six key clients: Severn Trent, Leep, Portsmouth Water, Essential Energy, TalkTalk, and Cuckoo. We are currently 120+ people strong globally. What you'll do: We have lots of difficult design challenges to solve. The UK utilities market is complicated, outdated and process-heavy - there's an awful lot of domain modelling that we need to get right. Strong attention to detail is essential. Help build and scale the Kraken utilities team by embedding an engineering, problem solving, and customer-first culture. Architect & develop new components of the Kraken platform to serve other utilities. We have a lot of challenging problems to solve as we work to improve the utilities industry. You will help find the right technology to build complex lifecycle journeys and payment flows, deal with hard industry problems, and support the processing of millions of readings. There's a great opportunity for disruption in the UK water and broadband markets. The landscape is changing as we move to more dis-aggregated forms of generation, with less predictability, more dynamism and smarter technology. You'll be working for a company that's fighting climate change. Our generation arm is the largest investor in solar generation in the UK, and is funding wind and anaerobic digestion. As a supplier, we're helping people to use greener technology and renewable energy, all helping move the UK towards a lower carbon future. What you'll need: We're looking for someone with a general interest in technology and problem-solving; someone diligent and thoughtful. Experience with the following: Python Django (or equiv. web framework) Domain modelling HTTP and REST APIs Writing robust and fault-tolerant software Celery and async processing Postgres Plus experience in the following would be a bonus: AWS Terraform, Packer, Consul React and Redux Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find more English Speaking Jobs in United Kingdom on Arbeitnow

We're looking for a Senior Software Engineer to join our global team to be responsible for the quality, development, and execution of our software products. You will be part of a technology department that is comprised of a successful and multidisciplinary group of professionals located across the globe – Barcelona, New York, London, Manchester, Bucharest and India. If you're ready to join a growing company and make an immediate impact, we want to hear from you! You will be joining at TransPerfect – TechOps: The TransPerfect TechOps team has been a vital part of the company's success since its formation over 10 years ago – delivering technology and services that have drastically simplified the lives of our clients and colleagues – from workflow improvements for colleagues to core services that form the basis of the company's GlobalLink platform, to creating scalable client interfaces that allow novice users to navigate complex ecosystems. Your responsibilities and tasks will include: Engage in all phases of application development, with a focus on coding and debugging in alignment with security standards throughout the entire lifecycle Design, build, and maintain efficient, reusable, and reliable code/APIs to support applications both for web and mobile Collaborate regularly in a cross-functional team made up of product managers, quality assurance teams, designers and other developers to translate business requirements into technical solutions Collaborate with Front-end developers to integrate user-facing elements with server-side logic Identify bottlenecks and bugs, and devise solutions to mitigate and address issues Optimize web applications for performance, scalability and security Implement security best practices to safeguard sensitive data and protect against potential threats Develop automation tests/ collaborate with automation engineers to ensure business needs are met, and allow for regression testing Work closely with users to provide personalized software support as needed Stay updated on emerging technologies and industry trends to continuously improve our backend infrastructure Document application support and operational procedures Mentor junior engineers and provide technical guidance to foster their growth and development The minimum we're looking for (show us what you got if you aren't a perfect fit): Bachelor's or Master's degree in computer science, engineering, or related field 8+ years of experience in software development, with a focus on building scalable and reliable systems Extensive knowledge of DotNet C#, LINQ, MS SQL, Entity Framework and related technologies Capable to use version control software such as GIT Knowledge of SOLID principles Knowledge of clean code practices Experience using web service protocols such as Rest, API design for extensibility and integration Experience debugging complex applications Experience with Agile development project management methodologies Database Development in SQL Server or NoSQL Databases Some familiarity of Docker Experience debugging complex applications Excellent communication and collaboration skills with a proven ability to work effectively in a team environment Azure, AWS, RabbitMQ and Quartz experience is a plus By applying, I confirm I have read and accepted TransPerfect's Privacy Policy: https://www.transperfect.com/about/data-privacy-recruiting Find Jobs in United Kingdom on Arbeitnow

About the Role Join a customer-facing engineering team building AI software for enterprise organizations. You will work directly with customers to understand complex operational challenges, then design and ship practical software solutions that make a measurable difference. What You'll Do Visit customer sites in the UK and internationally for up to 50% of your time to understand operational problems firsthand. Design, prototype, and ship production software quickly across customer environments and technology stacks. Partner with other forward deployed engineers and software engineers during customer engagements and pilots. Share customer insights and product feedback with the core engineering team to inform product development. Prepare and deliver software demonstrations and pilots for prospective customers in manufacturing, automotive, retail, and financial services. What We're Looking For One to five years of experience as a customer-facing full-stack software engineer or forward deployed engineer, including at least one year building and shipping production code. Experience with React, TypeScript, Python, LangChain, and Vercel AI SDK, alongside familiarity with Rust, SQL, REST APIs, cloud infrastructure, enterprise data systems, and AI or LLM tools. Strong systems design and architecture skills, with the ability to turn customer problems into scalable technical solutions. A problem-first approach, comfort with ambiguity, and the ability to adapt across customer industries and technical environments. A degree in computer science, engineering, or another STEM field, with strong technical fundamentals. Startup, founding, or early-stage engineering experience is valuable; experience in forward deployed engineering or similar customer-facing roles is also relevant. Based in the UK and able to travel nationally and internationally up to 50% of the time. Authorized to work without visa sponsorship. Compensation & Benefits Annual salary: £100,000 to £175,000. Visa sponsorship is not available. Location Hybrid role based in London, United Kingdom, with travel to customer sites. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE) , you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in United Kingdom on Arbeitnow

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play — it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. What you'll be doing You will take partial ownership of the design and delivery of critical software components powering different types of runtime machine learning inference on the PlayStation consoles. This role demands strong technical leadership, driving innovation and advancing the underlying principles and architectures to shape the future of these systems. This also involves being hands-on with the code implementation of these systems. You will be collaborating with internal and external groups across the globe to set company-level technology strategies and processes, as well as defining the scope of the project. This is a unique and highly senior position at the core of PlayStation technology. Your colleagues in ATG will include the engineers responsible for the rendering and ray tracing libraries, GPU tools, shader compiler, and contributors to the architecture of multiple generations of PlayStation consoles. The role also involves close collaboration with key hardware and software stakeholders, as well as strategic engagement with external vendors. Together, these partnerships enable us to provide system and game developers with the tools and capabilities to push the boundaries of our platforms. What we are looking for At least 10 years of experience in a senior engineering role Sustained professional history of significant and successful technical contributions, including responsibility for the success of a larger engineering or game project throughout the entire development lifecycle (design/implementation/release/maintenance). Excellent communication, organization and problem-solving skills Experience with game console software development and tools. At least 5 years of experience with GPU programming is essential, along with familiarity with GPUs. Fluency in C/C++ and shader languages, with a solid understanding of GPU programming and low-level computing to deliver technical excellence. Familiarity with machine learning is considered an asset. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Find Jobs in United Kingdom on Arbeitnow

Our Mission At Laelaps AI, we believe robotics is entering a transformative decade, much like the arrival of the internet. Advances in AI, cloud computing, and hardware are reshaping what autonomous systems can do. Our mission is to build the intelligent software that powers physical security in the real world - enabling robots and sensors to handle dangerous and critical tasks that humans shouldn't have to. By engineering the orchestration layer for intelligent security, we aim to create a world that is safer, more secure, and more resilient. We're a strong founding team based in Zurich, backed by visionary investors and advisors. We are engineering the future of security today! The Role As a Software Engineer intern on Robot Autonomy, you'll work on the software that runs on our legged security robots: how they perceive their surroundings, know where they are, and move through real customer sites on patrol. You'll join the team that owns everything on the robot and take a well-scoped problem from first experiment to a result that runs on hardware. The role focuses on building software for the robot autonomy stack that runs in the field. We'll agree your focus area with you during the interview process, based on your strengths and the team's priorities, and we expect you to own it from day one. This role is hands-on. You'll work with real sensor data and field logs, test on physical robots, and see first-hand why a robot that works in the lab can still fail on a live site at night, in rain, or after the layout changes. What You'll Work On Build and improve components of the on-robot autonomy stack, such as perception, localisation and state estimation, or planning and navigation, depending on your background and the team's priorities. Integrate sensors such as lidar, cameras and IMU, and work with the data they produce in day, night and challenging weather. Reproduce issues from field deployments using logs and simulation, find the root cause, and help fix it at the right layer. Design repeatable tests and clear metrics that show whether a change holds up across routes, lighting, weather and site layouts. Test your work on physical robots, and join site visits to see how the system behaves in real operating conditions. Apply solid engineering practices: code review, version control, reproducible experiments and clear documentation. Who We're Looking For We're looking for a strong robotics student who wants to see their work run on real robots, not only in simulation. You don't need every item below, but you should meet the core requirements and bring depth in at least one area of the autonomy stack. You'll join a small team that moves fast, expects ownership, and holds work to the standard of running on live customer sites. Your Background Currently pursuing a Master's or PhD, or completed a Master's degree within the last year, in Robotics, Computer Science, Electrical Engineering or a closely related field. Demonstrated depth in at least one of perception, localisation and state estimation, or motion planning and navigation, through a thesis, research or a substantial project. Strong coding skills in Python. Hands-on experience with ROS 2. Comfortable using Linux, Docker and Git in your workflows. Nice to Have Experience working with physical robots, ideally mobile or legged. Experience with lidar or camera processing, SLAM, or sensor fusion. Experience with robotics simulators such as Isaac Sim, Gazebo or MuJoCo. Publications or competition results in robotics (ICRA, IROS, RSS, CoRL). What We Offer Ownership: you are able to ship products and deliver project end-to-end. Mission: autonomous security that keeps people and critical sites safe, including in defence. Career path: a ground-floor seat with real runway. Prove your value and you will not have barriers to grow. Team: work directly with PhD-level co-founders in AI, Robotics, and Physics, alongside a strong (and fun) founding team. Compensation: Competitive equity/salary package Culture: International founding team that is serious about building but does not take itself too seriously. Find Jobs in Switzerland on Arbeitnow

Loft Orbital is looking for a Backend Engineer to join our Mission Operations Services (MOS) team. MOS owns the backend services that let Loft operators and customers command, monitor, and automate our satellite fleet through Cockpit, our mission control system. You'll help build and scale the microservices that sit between ground and flight software, turning high-level intent into safe, reliable on-orbit operations. You'll work across multiple satellite platforms and collaborate closely with backend, flight software, embedded systems, test, and satellite operations teams. This is a hands-on engineering role where you'll both build new systems and help debug live missions. We also offer SatDevOps training, so you don't just write the tools - you actually use them to operate spacecraft. If you're excited about building backend systems that directly control satellites - and you like the idea of both shipping code and helping fly missions - we'd love to hear from you. About this Role Design and build backend tools for operations : services that power passes, autopilots, activities, and day‑to‑day satellite operations. Handle commands and telemetry across multiple satellite buses and ground segment providers, with a strong focus on safety, robustness, and observability. Write production backend code in Python, owning services end‑to‑end from design and implementation through deployment and maintenance. Collaborate with flight software, embedded software, integration and test, and space infrastructure teams to integrate new satellite buses and capabilities into Cockpit. Support internal users of Cockpit (operators, test engineers, solutions engineers) by improving APIs, workflows, and debugging tools. Have the opportunity to take part in spacecraft operations through SatDevOps rotations, occasionally helping investigate anomalies and supporting real‑time incident response when needed. Must Haves: 4+ years of relevant backend software engineering experience in production environments Solid Python development experience in a production environment. Experience with Docker and container‑based development. Hands‑on experience with backend web development frameworks (e.g., Django, Flask, FastAPI, etc.). Proven API design skills (designing, documenting, and maintaining HTTP/GraphQL/REST‑style APIs). Nice to Haves: Experience with Django and/or GraphQL. Strong database fundamentals and practical experience (e.g., Postgres, time‑series DBs). Exposure to Kubernetes in production. Familiarity with InfluxDB / TimescaleDB or other time‑series systems. Background in mission‑critical, distributed, or real‑time systems (space or otherwise). Some of Our Awesome Benefits: Equity, we want you to have an active role in our success Up to 35 days of Paid Time Off (vacations & RTT ) and flexible working hours, we want you to be at your best Health and life insurance, we care about your health Lunch Vouchers, because let's be honest, we love food! (we even have a slack channel about it #loft-gourmand ) Cross-office travel opportunities between San Francisco, Colorado, and Toulouse to learn from our differences Company and team off-sites and many other events to work & celebrate together Relocation assistance to Toulouse when applicable Who We Are: Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France to meet accelerating demand for space infrastructure. * Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. 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Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. Join the AI Search Group: Enhancing Core Search Capabilities The Relevance Group is dedicated to advancing the core search experience by improving both pre-query relevance (Understanding) and post-query relevance (Re-Ranking). We're responsible for key customer-facing features like Query Suggestions, Dynamic Synonym Suggestions, AI Re-Ranking, and Query Categorization. We're looking for problem solvers with an entrepreneurial mindset—people who focus on outcomes and use data to drive decisions. If you're passionate about optimizing search relevance and applying AI thoughtfully to achieve measurable results for customers, we'd love to hear from you! The team is composed of engineers, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference. YOU WILL: Be a key contributor to the design and development of ranking & understanding features Collaborate with a team that includes a variety of roles, ranging from front-end developers to machine learning specialists. Be responsible for the quality and soundness of our pipelines YOU MIGHT BE A FIT IF YOU HAVE: Experience designing and operating pipelines in production Experience working with large datasets and high traffic An interest in solving Ranking challenges Experience in building and maintaining API services Rigor in high code quality, automated testing, and other engineering best practices Experience using one of the major cloud providers (GCP, AWS or Azure) Excellent spoken and written English skills NICE TO HAVE: Experience operating AI models in production environments Experience in Go or Python Experience in Kubernetes Sensitivity to data driven decision making, and exploring datasets with SQL Sensitivity to end user experience Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €67.500 — €94.000 EUR FLEXIBLE WORKPLACE STRATEGY: Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers and to take ownership. CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY - Aptitude for learning from others, putting ego aside. We're looking for talented, passionate people to help build the world's best search and discovery technology. We value autonomy, diversity, and collaboration. We're committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We've recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind: Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page . All genuine communication from Algolia will come from an ----- email address. If you receive an email from someone claiming to work at Algolia who does not have an ----- email address, please do not respond or share any personal information. We'll never ask for payments, purchases, or financial details during the hiring process. READY TO APPLY? If you share our values and our enthusiasm for building the world's best search & discovery technology, we'd love to review your application! Find more English Speaking Jobs in France on Arbeitnow

About The Role We're looking for a Senior Product Manager with real technical depth and an AI-first way of working . You'll own a product area end to end: finding problems worth solving, shaping the solution, taking it from 0 to 1 and growing it from there. You understand architecture, you've written code, you know how databases work, and you speak engineering fluently. Your main job is product. The technical depth is what lets you move faster and make better calls. AI isn't a feature we're adding. It's how we work and how we build. Expect roughly 70% product and 30% engineering, with full accountability for results. Your Mission Product direction: set the vision, strategy and roadmap for your area. Decide what to build, why, and how success is measured. 0-to-1 delivery: take new products and features from problem discovery to launch and iteration. Discovery and validation: work directly with users and data to understand real problems, not assumed ones. Run interviews, usability tests and experiments before committing to build. Metrics and outcomes: define, instrument and track the KPIs for your area. Use product analytics to find friction, prioritise the highest-impact work, and shut down what doesn't work. Engineering partnership: understand architectural trade-offs, review technical approaches and unblock decisions. Write specs engineers actually want to read: clear, technical and opinionated. AI and automation: find where LLMs and agents create real product value, build the case, and ship it. Fast prototyping: validate ideas with AI tools (Claude, Cursor, Copilot, agents), scripts, no-code, or whatever gets you to the answer quickest. Hands-on work: write queries, dig into data pipelines, spin up prototypes, and open a PR when it makes sense. Prioritisation: balance user impact, business value, effort and regulatory constraints, and work closely with Engineering, Design, Analytics and business owners to ship continuously. Your Profile 5+ years in product management or product engineering with strong technical involvement, and a track record of taking products from 0 to live use with real users. AI-native: you use LLMs, vibe coding and agents daily, and you've applied LLMs or agentic AI to real products. Strong in Python or a similar language, enough to build things yourself. Comfortable with SQL, git, databases and evaluating system architecture. Fluent in product analytics and research: you define metrics, read data yourself, and validate through interviews, usability testing and experiments. Strong grasp of UX. You can take a complex flow and make it simple. Experience shipping with Design and Engineering in an agile environment. Clear communicator in English and self-directed. You can explain technical decisions to non-technical people, write specs engineers respect, and don't wait to be told what matters. Nice to Have Degree in Computer Science, Software Engineering or a related technical field. Experience in fintech or another regulated industry. Early-stage startup background. Hands-on LLM orchestration or prompt engineering. Background in software engineering, QA or product analytics. Why Join Vivid? We have a hybrid model in our Limassol and Berlin offices, or fully remote outside office locations. We support relocation to Cyprus (visa, package) when needed. AI-first culture – we use it every day, not just talk about it. Learning & development budget to support your professional growth. Fully paid vacation and sick leave. Sports compensation. Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one. Compensation range Final compensation is determined individually, based on your experience, skills and the scope of the role, assessed against objective, gender-neutral criteria. About Vivid At Vivid, we're on a mission to change how businesses and individuals manage their money across Europe. For businesses, we build tools that actually make a difference: multi-IBAN accounts, high-yield savings, business cashback, team cards, and accounting integrations that save real time — all in one place. And for individuals, we offer a simple way to manage and grow your wealth: access to global stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights. Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality. Founded in 2019 in Berlin by Alexander Emeshev and Artem Iamanov, Vivid has quickly grown into one of Germany's top financial platforms for SMEs and private accounts. Since then, we've expanded rapidly across Europe, earning the trust of over 500,000 customers — and with over €200 million raised and a valuation of €775 million, we're just getting started. We're building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making. This changes how we work: less manual execution, more ownership in building systems that scale. We want to help define what AI-native looks like in a regulated financial environment — and we're looking for people who want to build that future with us. Find Jobs in France on Arbeitnow