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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

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is looking for a Software Engineer II – Backend to join our global engineering team. You'll design, build, and operate scalable backend services that power our identity verification and fraud prevention products. You'll work closely with Engineering, Product, Infrastructure, and Data Science/ML teams and take ownership of software from design through production. What You'll Do Design, build, test, and operate backend services, APIs, and microservices. Develop reliable, secure, and maintainable production software. Work on distributed systems, asynchronous workflows, messaging, and event-driven architectures. Contribute to technical design and make thoughtful engineering trade-offs. Troubleshoot production issues and improve system reliability and observability. Participate in code reviews, automated testing, CI/CD, and engineering best practices. Collaborate with globally distributed, cross-functional teams to solve customer and business problems. What We're Looking For Practical software engineering experience building backend applications or services. Strong programming skills in Go, Java, Python, or a comparable backend language . Good understanding of data structures, algorithms, APIs, microservices, and distributed systems fundamentals. Experience working with SQL and/or NoSQL databases. Understanding of asynchronous processing, messaging, retries, fault tolerance, and service-to-service communication. Familiarity with cloud-native technologies such as AWS, Docker, Kubernetes, Kafka or equivalent technologies . Understanding of source control, automated testing, CI/CD, and modern software development practices. Ability to troubleshoot technical problems methodically and take ownership of solutions through production. Clear communication skills and the ability to collaborate effectively across teams. Additional Information Permanent right to work in the UK is required; Socure does not provide visa sponsorship for this role. Candidates must be based in London or within a commutable distance, with the ability to attend the office as needed. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - You'll individually help deploy into production use cases with a considerable business impact across various industries. - You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects , you'll be hands-on and de-risk the critical parts of our complex projects. You'll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers , providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales , translating customer requirements into actionable solutions and communicating Mistral's technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems , including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral's product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI , evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral's product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English. - You hold a PhD or Master's degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch , and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills , including API design, backend/full-stack development, and system architecture. - You excel in technical communication , with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in United Kingdom on Arbeitnow