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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

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. The role AQEMIA's drug discovery programs and AI platform increasingly create value through licensing deals and strategic partnerships with pharma and biotech companies. As our first in-house Legal Counsel, you will lead the legal work on these deals from term sheet to signing. You'll make sure each licensing agreement maximises value creation for Aqemia, protects our IP, and the platform behind every program. Beyond licensing, you will become the trusted legal partner for CEO, founders, leadership and teams across the company, covering IP and patents, operational contracts, data and AI, compliance and corporate matters alongside specialist external counsel. Within a year, you will have shaped how legal works at AQEMIA: issues will be mapped and anticipated, processes will be practical, and leadership will rely on you for well-judged legal advice. Reporting to the Corporate Finance Manager, you'll have a rare chance to sit at the centre of the deals that bring AI-discovered drug candidates to partners, and to grow well beyond licensing into a broad in-house role. Responsibilities Licensing & partnerships: lead the legal work on licensing and collaboration deals, drafting and negotiating agreements from term sheet to signing. Deal strategy: work with BD, Finance and Leadership to turn commercial goals into contract terms, while protecting AQEMIA's platform and other programs. IP & patents: support IP protection and patent-related decisions with scientific teams and external patent counsel. Operational contracts: draft and negotiate NDAs, MTAs, CRO, vendor, software and data agreements, including contractual questions on data use and AI. Corporate & compliance: adresss GDPR, regulatory, compliance and dispute-related matters with specialist support where needed, and support corporate and fundraising matters in coordination with Finance and external advisors. Legal processes: own templates and approval workflows, highlight key contract obligations and deadlines to relevant teams, and manage external counsel. Qualifications Law degree or equivalent professional legal qualification. 5+ years of legal experience , including time at a law firm in a life sciences practice. In-house experience at a biotech or pharma company is a strong plus. Licensing: hands-on experience drafting and negotiating biotech or pharma licensing agreements yourself, not only coordinating external counsel. Deal knowledge: strong understanding of licensing mechanics and IP ownership in drug discovery (scope, exclusivity, financials, termination). Communication: excellent English drafting and negotiation skills, and you can explain legal points clearly to non-lawyers. Mindset: autonomous, pragmatic and eager to learn legal topics beyond your current expertise. Nice‑to‑Have In-house experience at a biotech, pharma or TechBio company, ideally a startup or lean legal team. Exposure to AI, data or technology platform agreements (data rights, model training, ownership of outputs). Experience building legal processes, templates or contract management from scratch. Business development or commercial experience alongside your legal background. Professional French. Our recruitment process 1 - Hiring Manager's interview: you'll meet directly with your future manager (45 mins) 2 - Technical assessment of your skills through a Business Case (60 mins) 3 - Cultural fit interview with our co-founder and COO Emmanuelle (45 mins) 4 - Final interview with our co-founder and CEO Maximilien (45 mins) Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

Recognised on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! About the team The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. What you will do Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. Oncall : Participate in the daytime oncall rotation along with the rest of the team. ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. What you will bring along 5+ years of software engineering experience in production environments Exposure to working directly with AI/ML technologies Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases A high level of ownership and can drive features from concept to production with minimal supervision Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them Perks Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. Healthcare - Employer contributions towards your healthcare. Equity in the company - Every new team member who joins our company receives stock options. Time off - Flexible time off in the US, generous entitlement in other countries. A USD$500 Home office setup if you're a remote employee. Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here . Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here for our Privacy Statement. Find Jobs in United Kingdom on Arbeitnow

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: You will build the platform that transforms raw neuro-signals into longitudinal patient insights, effectively defining the new standard of care in neuro-critical settings. As a Senior Software Engineer within the CoVision project, you will play a central role in developing, maintaining, and optimising the Large Language Model software deriving actionable intelligence in our fleet of neuromonitoring products. You will bridge the gap between advanced AI research and production-ready, regulated medical software, ensuring software reliability across our deployed fleet. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: AI Integration: Integrate an on-device LLM into the CoMind One system, connecting it to live neuromonitoring signals and building the query and response layer clinicians interact with. Model Evaluation & Reliability: Own how we measure whether the model answers the right clinical questions correctly and consistently. Build the evaluation, prompting and guard-rail approaches that keep output safe to show at the bedside. Systems Performance: Optimise inference performance on constrained on-device hardware, managing latency, memory and throughput within the CoMind One system. Medical Device Software Development: Design and develop medical device software to IEC 62304 and ISO 14971, from real-time on-device behaviour through to the interfaces clinicians touch. Compliance & Cybersecurity: Ensure AI deployments meet cybersecurity requirements and regulatory standards, including FDA guidance for AI/ML-enabled devices. Reliability & Collaboration: Keep the deployed fleet reliable, and work directly with hardware, product and clinical teams to diagnose and resolve issues quickly. AI is fundamental to our culture — it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 7+ years of hands-on software engineering. Comfortable working in C++, with Python alongside it. Practical experience using LLMs as an applied tool: prompting, guardrails, RAG, evaluation, and reasoning about model behaviour. You've built, or extended a model and integrated it meaningfully into a real product, close to the surface users actually touch. Experience integrating third-party libraries or complex components into a larger system, ideally performance-sensitive or resource-constrained. Comfortable reasoning about performance: latency, memory and throughput on constrained hardware. Strong with Git and CI/CD. Nice to have Edge / on-device AI: running models on constrained hardware such as Jetson, Android, iPad, Raspberry Pi or microcontrollers. Hands-on with llama.cpp or similar, and evaluating small on-device models (e.g. Qwen, Gemma, MedGemma, custom). Some hardware exposure: anyone doing genuine edge AI tends to have this. Cloud experience (AWS), particularly running LLMs in a cloud environment. A background in a regulated or safety-critical industry Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores DISCLAIMER - We use AI notetaking tools to transcribe interviews for internal review. By proceeding, you consent to this. Let us know if you'd prefer we don't. Compensation: £94K – £120K • Offers Equity • Salary £94K – £120K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Letly Letly is the AI-Native operating company built for the home. We believe the home should be autonomously run and we're building the software that will run all rental properties end-to-end. The backend at Letly is technically difficult on purpose as the operational realities of handling property and money are messy. But the foundations are already there: 10+ backend and AI services, a monorepo on the frontend, GitOps and Kubernetes on the infra side. You'd be building on solid ground rather than firefighting a fragile prototype — with a lot still to build. We've raised a $4m pre-seed and are a small, high-agency, engineering-oriented team, growing revenue at >100% month-over-month. We're hiring to facilitate this aggressive growth. Our stack Backend — a microservice architecture in NestJS and TypeScript, with Python and FastAPI for the AI agent services. Data — MongoDB Atlas and Redis. Event-driven — services coordinate over Pub/Sub rather than calling each other directly. Infra — Kubernetes on GCP (GKE), deployed via ArgoCD. Frontend — Angular in an Nx monorepo. How we build Small, well-factored services with clear boundaries. Tests are written alongside the code, not after it — they're what lets us move quickly without breaking things that handle money. Trunk-based CI/CD: you ship to production and own it, with observability and clean rollbacks. Lean frameworks, readable code. We work on a wide spectrum of technical challenges from money movement to operational logistics (scheduling, bookings, access) mediated over event-driven systems, to building around AI agents in production that are capable of executing autonomously under the hood. What we're looking for You've built and operated production backend systems that real users depended on. We care about the scope you've owned and how you owned it. First Class or high 2:1 (or international equivalent) in Computer Science or a relevant technical field. Fluency in at least one backend language and framework. You don't need to arrive fluent in our stack: we hire engineers who've built production systems with any robust framework — NestJS/TypeScript, Java/Spring Boot, Go, Kotlin, C#/.NET or Ruby on Rails — and can ramp into TypeScript fast. System design: where a service boundary belongs, what a design trades away, how services coordinate — events, queues, retries that are safe to repeat — and how it holds up once it's live. Fundamentals: concurrency, HTTP and API design, auth, data modelling and transactions (document or relational), changing a live schema safely, and what happens when a call fails. Tests: you treat tests as part of shipping, you work comfortably in a shared trunk, and you can quickly understand a large codebase you didn't write. You use AI heavily and still know exactly what you shipped. Generated code has the same quality bar as what you wrote by hand: you can explain every line, you've thought about the constraints it has to bear, and you don't merge anything you couldn't have written yourself. How you work Hyper-focus on detail. These systems move money and manage assets; we have low tolerance for "mostly right". First-principles reasoning. You take a hard problem apart rather than reaching for the nearest familiar pattern. Communication clarity. You can explain a complex trade-off to another engineer, and to someone who doesn't write software — because here you'll have to do both. Ownership mentality. You own the outcome, not the ticket: start to production, without being chased. Collaborative. Teams change the world, not individuals. You make the next engineer better and faster. Adaptability. You do well in a fast-moving environment where requirements shift under you. Learning velocity. You pick up new paradigms quickly and don't need long to get productive in unfamiliar territory. Quality-obsessed. Not just the code — the tests, the docs, the handover, the thing you leave behind. Our process We aim to complete end-to-end in under a week. Screening — 30 minutes with the CEO Skills — 45 minutes with the CEO & CTO Problem solving — 60 minutes with the CTO Slope — 45 minutes with the CEO Offer — references and a decision in days Benefits On top of base salary, equity and annual bonus, you're also entitled to: Private health insurance Paid gym membership Three meals a day , in office Ubers home on late nights Compensation: £70K – £140K • Multiple Ranges Mid • £70K – £100K Senior • £90K – £140K Find more English Speaking Jobs in United Kingdom on Arbeitnow