Find Your Dream Career

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. Find more English Speaking Jobs in France on Arbeitnow

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

Tessl is a fast-growing Series A startup based in London, founded by Guy Podjarny, who previously founded Snyk. We've raised more than $100 million from world-class investors, including Index Ventures, Accel, GV and Boldstart. In 2025, Tessl ranked #2 in Sifted's B2B SaaS Rising 100 and #20 in its AI 100. We're building the context layer for AI coding agents and a platform for AI-native software development. As an early member of the team, you'll help shape how we build and scale a company operating at the forefront of AI and software development. Overview of role Join our engineering team to build real-time AI Native workflows, tooling, and interfaces that will reshape how developers create and maintain software. As a Software Engineer, you'll be versatile and independent, excited to work with cutting-edge AI tools to build great products. We move quickly, but with purpose - balancing speed with collaboration and thoughtful execution. You'll collaborate closely with product, design, and the wider Engineering team to bring AI Native development to life in a fast-paced, high-trust environment. What you'll do No two days will be the same at Tessl! You'll have a high level of autonomy and be able to make decisions based on what you believe will help you deliver the most success. Here's an insight into just a few of the things you would be doing: Design and implement new functionality that you discussed and reviewed with the product team Spin up a proof of concept to showcase an innovative idea you've been thinking about Rapidly prototype a new language integration for our code generation pipeline, then develop a plan for a scalable implementation. Pair with a designer to fine-tune interactions in the UI, CLI or existing AI coding agents, making the user experience more intuitive and slick Integrate a third-party service , e.g. for notifications, so we can focus our own cycles on Tessl's core capabilities Collaborate with other teams to plan an architecture that supports collaboration across the platform Establish an end-to-end testing strategy to increase our confidence when deploying new features to production Share your technical vision for a new product capability you'll be leading with the wider engineering team for feedback and alignment What we're looking for Essential Proven experience (typically 5+ years or equivalent) as a Software Engineer . You care about code modularity, structure and aesthetics and have firsthand experience in how software is built across teams and environments Equally comfortable contributing to a mature codebase with strict CI criteria or hacking up a quick prototype to prove/disprove an assumption Proven experience leveraging the best AI coding tools and agents to accelerate and enhance your own work and efficiency Comfortable with fast-paced, high-autonomy environments: you've ideally thrived in an early-stage startup before You have demonstrated usage of AI tools in your day-to-day work , and be excited about experimenting, learning, and harnessing the potential of new AI tools and approaches to transform software engineering Nice to have Background in AI products or developer tools Experience in rapid prototyping environments Programming polyglot experienced in several languages of different paradigms (e.g.: JavaScript/TypeScript, Python, C or C++, Haskell, etc.) Experience collaborating with AI researchers and bridging between research-focused and engineering-focused teams Experience building & scaling REST APIs , particularly those conforming to JSON:API Comfortable working on infrastructure (e.g., setting up CI pipelines, navigating Kubernetes) If you have a personal or open-source project you'd like to share, we'd love to see it (GitHub links welcome!) Salary and benefits Office: Our brand new 10,000 sq. ft office is in the AI hub of Kings Cross, London. We have generous catering and have regular social events such as team lunches, drinks and more. We require all staff to be in our London HQ at least 3 days a week on our anchor days of Monday, Tuesday and Thursday. Salary : We offer a competitive salary based on experience and skills, benchmarked against industry standards. Benefits : 25 days holiday, health insurance, including dental and vision, which extends to partners and dependents, as well as a company-matched pension. We also provide a commuting stipend for those who live outside London, and a cycle to work scheme. Application Process Here's an outline of what you can expect during our interview process: Intro Call Hiring Manager Chat Take-Home Exercise On-site Technical Session Leadership Discussion Throughout the process, if you have any specific requirements or need adjustments, please let us know: we're happy to accommodate. We care deeply about the warm, inclusive environment we're building at Tessl and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! Learn how we think and work On Tessl, The AI Native Development Startup Announcing skills on Tessl: the package manager for agent skills Podcast Episode: The End of Fragmented Agent Context, Guy Podjarny Tessl CEO Find Jobs in United Kingdom on Arbeitnow

The role You'll be the senior engineer on our high value and complex builds, embedded inside client teams from week one. You own the architecture for agentic systems, data pipelines and integrations, ship them to production, and raise the standards of the engineering team around you. Projects typically start as a plan, followed by a proof of concept, expand into a beta, and are then shipped to production. You'll be involved across the full arc. Location: Remote (UK), with optional access to a number of London-based co-working spaces. What you'll do Take a build end to end: architecture, implementation, deployment and handover. Design production AI systems, agents, retrieval, evaluation and the data plumbing underneath them. Work alongside client engineering teams, and directly with Nick and Mark, with no layer in between. Mentor and support our AI and graduate engineers, sharing what you know as the team grows. What we look for Around 5+ years shipping production software, with real ownership of systems in the wild. Strong Python plus at least one typed language, and sound judgement on when to reach for which. Hands-on with LLMs and agents, plus cloud, data pipelines and good testing discipline. Comfortable client-facing, communicating clearly and understanding what clients need. An appetite for working in an inclusive team, alongside people whose backgrounds and lived experiences differ from your own. Who we are Fifty One Degrees is a UK AI and data consultancy, founded in 2023 by Nick and Mark who both built and sold their own companies. Prior to 51D, Nick Harding (CEO) founded and scaled the fintech Fluro to four million credit applications a year. Mark Somers (CPO) built 4most into the UK's largest independent credit risk consultancy. We embed practitioners in client teams and build the best solution that will drive for maximum client value. Strategy, governance and training are also key, but we stay and build rather than hand over a document and leave. We're a fast-growing startup and the client list is highly varied with clients across financial services, retail, property and PR (to name a few). This role is for a client-facing consultant that works as a software engineer. Coding ability is non-negotiable, but you'll spend time in front of clients as well as in an editor. A real part of what we do is AI enablement and strategy: helping client teams adopt AI tooling, redesigning how they work around it, and building the systems that make it stick. This means configuring and integrating as well as writing code from scratch. If you are looking for a role that's only heads-down engineering, this isn't it. If you want to see how AI actually lands inside a business and unlocks value, this is the role for you. How we work Small teams, real ownership, no layer of middle management between you and the client or the founders. You're trusted with real work from week one, combined with the right level of support. We pair, we share what we learn, and we're honest about what's working and what isn't. Our process Our typical hiring process usually consists of the following stages: Initial screening call Competency-based interview Technical assessment Note that we may add additional assessment stages if required. Additional note A career break or a non-linear route into engineering isn't a blocker here. We hire on what you can do now, not the shape of your CV, and we offer structured ramp-up and mentoring for anyone returning after time out. Who we are Fifty One Degrees is a UK AI and data consultancy, founded in 2023 by Nick and Mark who both built and sold their own companies. Prior to 51D, Nick Harding (CEO) founded and scaled the fintech Fluro to four million credit applications a year. Mark Somers (CPO) built 4most into the UK's largest independent credit risk consultancy. We embed practitioners in client teams and build the best solution that will drive for maximum client value. Strategy, governance and training are also key, but we stay and build rather than hand over a document and leave. We're a fast-growing startup and the client list is highly varied with clients across financial services, retail, property and PR (to name a few). This role combines client-facing consultant and software engineer. You'll need to fluently read, interpret, write and test production-level code; but you'll also spend time working closely with our clients. A real part of what we do is AI enablement and strategy: helping client teams adopt AI tooling, redesigning how they work around it, and building the systems that make it stick. This means configuring and integrating as well as writing code from scratch. If you are looking for a role that's only heads-down engineering, this isn't it. If you want to see how AI actually lands inside a business and unlocks value, this is the role for you. How we work Small teams, real ownership, no layer of middle management between you and the client or the founders. You're trusted with real work from week one, combined with the right level of support. We pair, we share what we learn, and we're honest about what's working and what isn't. Find Jobs in United Kingdom on Arbeitnow

The role You will likely join live client projects from week one, in an engineering role with real accountability. Python-first, with exposure to a wide variety of software projects, and mentorship directly from senior team members. Location: Hybrid - with at least one or two days a month working from one of our London co-working office spaces Open to: Graduates Compensation: £40,000 What you'll do Work on the same live client projects as the rest of the team, alongside engineers who'll support you. Build AI agents and data pipelines, learning the full lifecycle by shipping. Help client teams adopt and embed AI tooling. Work directly with senior leadership. What we look for Experience delivering a software engineering project - personal, academic or placement. Practical knowledge of Python and an appetite to learn quickly. A strong grounding in computer science, maths or a related STEM subject. Curiosity, initiative and a genuine interest in building with AI. Enthusiastic to work alongside a diverse team, with broad perspectives and lived experiences The legal right to work in the UK at the time of application. Who we are Fifty One Degrees (51D) is a UK AI and data consultancy, founded in 2023 by Nick and Mark. Prior to 51D, our CEO Nick Harding founded and scaled the fintech Fluro to four million credit applications a year. Mark Somers (CPO) built 4most into the UK's largest independent credit risk consultancy. We embed practitioners in client teams and build the best solution that will drive for maximum client value. Strategy, governance and training are also key, but we stay and build rather than hand over a document and leave. We're a fast-growing startup with clients across a range of industries, such as financial services, retail, property and PR. The problems change often, and you'll see more in a year here than you would on the average graduate scheme. This role combines client-facing consultant and software engineer. You'll need to fluently read, interpret, write and test production-level code; but you'll also spend time working closely with our clients. A real part of what we do is AI enablement and strategy: helping client teams adopt AI tooling, redesigning how they work around it, and building the systems that make it stick. This means configuring and integrating as well as writing code from scratch. If you are looking for a role that's only heads-down engineering, this isn't it. If you want to see how AI actually lands inside a business and unlocks value, this is the role for you. How we work Small teams, real ownership, no layer of middle management between you and the client or the founders. You're trusted with real work from week one, combined with the right level of support. We pair, we share what we learn, and we're honest about what's working and what isn't. Personalised development and mentorship from senior leaders is always available. Our process Our typical hiring process usually consists of the following stages: Initial screening call Competency-based interview Technical assessment Note that we may add additional assessment stages if required. Who we are Fifty One Degrees is a UK AI and data consultancy, founded in 2023 by Nick and Mark who both built and sold their own companies. Prior to 51D, Nick Harding (CEO) founded and scaled the fintech Fluro to four million credit applications a year. Mark Somers (CPO) built 4most into the UK's largest independent credit risk consultancy. We embed practitioners in client teams and build the best solution that will drive for maximum client value. Strategy, governance and training are also key, but we stay and build rather than hand over a document and leave. We're a fast-growing startup and the client list is highly varied with clients across financial services, retail, property and PR (to name a few). This role combines client-facing consultant and software engineer. You'll need to fluently read, interpret, write and test production-level code; but you'll also spend time working closely with our clients. A real part of what we do is AI enablement and strategy: helping client teams adopt AI tooling, redesigning how they work around it, and building the systems that make it stick. This means configuring and integrating as well as writing code from scratch. If you are looking for a role that's only heads-down engineering, this isn't it. If you want to see how AI actually lands inside a business and unlocks value, this is the role for you. How we work Small teams, real ownership, no layer of middle management between you and the client or the founders. You're trusted with real work from week one, combined with the right level of support. We pair, we share what we learn, and we're honest about what's working and what isn't. Compensation: £40K Graduate • £40K Find more English Speaking Jobs in United Kingdom on Arbeitnow

Senior Software Engineer Scope automates the data collection that's slowing down the physical world. Standards are vital for the safety of our infrastructure. Spending hours manually documenting them is not. Dave is an inspector. Today he's climbing through one of Europe's biggest chemical plants, looking for the corrosion that could shut the whole site down, with a notebook and pen in hand. Tomorrow, he'll spend even longer on the part of the job he hates: turning those scribbles into a report. We're building the best AI-native data collection layer for the 2 billion field workers like Dave. Scope radically simplifies how inspectors collect data in the field, make decisions, and produce reports. Along the way, we're building the world's largest dataset on the condition of the built world and the decisions experts make about it. It's a $2T market and we're just getting started, with ambitions. We have grown revenue 5x in the last year and on track to reach 10M ARR in 2026 . We work with 6 of the top 10 companies in the space. Our customers inspect facilities and products for companies including AstraZeneca and SpaceX . We've assembled a best-in-class team: acquired and future founders, people from institutions like Imperial, Carnegie Mellon and Oxford, and from firms like Goldman Sachs, Flexport and Amazon. Since launching from Entrepreneurs First in 2024, we've raised an oversubscribed $20m round led by Index Ventures , the firm behind Figma, Revolut and Wiz, with over 100 unicorns backed to date. About the role: You'll join a talented, flat structured engineering team where we are looking for forward deployed or product focused engineers where you will be at the front line of our key accounts. You will be running the rollout, building tools tailored for the client and own problems end to end . You will not be siloed so will work across the product, business, clients and won't be handed tickets and asked to stay in your lane. You'll talk to users, decide what matters, design the solution, ship it, and see whether it worked. We work in person five days a week from our sunny office in Farringdon. We believe being together helps us move faster and solve problems more effectively and it's also more fun! We're looking for people who want to help invent what inspection software should look like in a post AI world . What you'll do: Build the systems that takes voice notes, photos, videos and proactively finishes reports Engineer how we feed context to AI models: how to store, fetch and select standards, reports, media, user intention Evolve our workflow builder into self evolving software Design the architecture behind the product: how unstructured data flows through the system, how AI is integrated, how offline and online behaviour stay seamless, and how we keep the product simple as it becomes more powerful. Who you are: We believe great teams are made up of highly agentic managers of one. People who care more about shipping results than collecting badges. You should apply if you're deeply technical and enjoy building applications You have strong technical skills, ideally mobile applications or client focused. You have 5+ years of experience and have built up enough scar tissue to know which technical decisions matter. Expo / React Native experience a big plus Interview process: An initial call. A collaborative technical exercise with an engineer. An Interview with a cofounder - Jonny (CEO) or Jakob (CTO). Onsite Systems Design and Product Interview - Meeting more people on the team and getting a feel of what it would be like to work here. * Offer! What we offer: Our benefits are designed to reflect our values. We offer comprehensive employee benefits, which includes the following: £120k - £150k base + significant equity so you have a stake in what you are building We provide full visa sponsorship that has allowed us to have unrestricted access to global talent and build an international, diverse team Tools to do your job including brand new MacBook laptop + Scope merch Generous above-market annual leave allowance Bupa private medical (0 excess, pre-existing conditions covered) + Bupa dental Employee Pension through NEST Flexible Parental Leave (including Adoption Leave) Healthy meal prep delivered Lunch + Dinners as well as fully stocked fridge and snacks, drinks Team lunches on Fridays Regular events including off-sites Learning and Development: Access to online resources and courses as well as internal Lunch and Learn seminars that allow collaboration and continuous development At Scope, we believe diverse perspectives build stronger products and teams. Even if your background doesn't perfectly align with every single bullet point here, if you have the drive and the commercial instincts to excel in this role and be a part of a transformational start up, we strongly encourage you to apply. Find more English Speaking Jobs in United Kingdom on Arbeitnow