24 jobs found

B2B SaaS Hybrid - 2-3 days office UK Location: London Type: Full-time We're building the next generation of our data platform for accessible rail travel - powering millions of journeys and enabling new Data-as-a-Service products. Accessible rail travel depends on systems that work reliably in live environments. Our platform processes large volumes of operational, auditing, and passenger data to generate real-time insights and external data products used by partners and operators. You'll play a key role in designing and building a modern, cloud-native data platform on Google Cloud: replacing legacy systems and shaping how data is used across the business and by external stakeholders. Strategic Context Transreport exists to remove structural barriers in rail travel. Our vision is that everyone has access to travel everywhere. As a Series A technology company and recipient of a King's Award, we operate across the UK, Japan and the EU, delivering award-winning accessibility and safety platforms that have supported over 10 million assistance requests for more than 1 million users. As our operational demands grow, our systems must support increasing integrations, regulatory complexity, data volume, and reliability expectations. Outcomes & Impact Within 6 months, you will: Deliver and stabilize our new read-only Data APIs on GCP for external partners, ensuring they meet strict rate limits and utilize cursor-based pagination. Establish the foundational BigQuery Data Lake using Terraform, deploying automated ingestion pipelines for core platform data. Assist in the management of the legacy Ruby on Rails auditing applications, ensuring stability while utilizing AI coding assistants to accelerate the migration to the new stack Within 12 months, you will: Play a lead role in deploying a new unified Auditing application (FastAPI/Cloud Run), merging internal and external audits into a single cloud-native architecture. Replace manual Python Jupyter notebooks with fully automated, regulatory periodic reporting engines via Cloud Run and Workflows. Eliminate legacy database silos by migrating transactional and analytical data into unified Cloud SQL and BigQuery schemas. Tasks Build & Evolve the Platform: Architect and build serverless Python (FastAPI) microservices on Google Cloud Run to replace legacy monoliths. Data Pipelines & ETL: Build and maintain robust ETL/ELT pipelines streaming data from Cloud SQL and external third-party APIs into BigQuery. Data Modelling: Write clean, performant SQL to transform raw data in BigQuery into curated, analysis-ready datasets (utilizing tools like Dataform or dbt). Data API Ownership: Manage secure, high-throughput external APIs utilizing OAuth 2.0 (M2M) and API Gateway. Infrastructure as Code: Utilize Terraform to deploy, secure, and monitor GCP environments. Requirements Must Haves 4+ years of professional experience in Data Engineering or Backend Software Engineering. Strong proficiency in Python and SQL. Hands-on experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Run, and Cloud SQL. Experience building and maintaining ETL/ELT pipelines and transforming data via modelling tools (Dataform, dbt, etc.). Experience with Infrastructure as Code (Terraform) and CI/CD pipelines. High proficiency in using AI coding assistants to accelerate development and infrastructure tasks. Nice to Haves: Familiarity with FastAPI and asynchronous workers (Cloud Tasks/PubSub). Experience with modern BI tools, specifically Looker (LookML) and/or Looker Studio. Experience working in regulated industries or multi-client B2B SaaS. Comfortable working within legacy codebases (Ruby on Rails) while migrating them to modern architectures. Experience designing and scaling REST APIs Benefits Private healthcare after your probation (including children) Company pension scheme Hybrid working model 25 days holiday Volunteering Leave Free flu jab for you and your family Culture & Operating Principles We value: Ownership over hierarchy Clarity over bureaucracy Impact over job titles We operate with high autonomy and high accountability. People are expected to raise risks early, communicate clearly, and take responsibility for outcomes. Interview Roadmap Screening Call (30 mins) - Recruiter alignment Technical Exercise - Architecture & integration discussion Deep Dive Interview - Engineering & Product Final Culture Conversation - Leadership alignment Guaranteed Interview Scheme We're a Disability Confident employer and we welcome applications from disabled candidates. If you need any adjustments at any stage of the recruitment process, please tell us what would help - we'll work with you to make the process as accessible as possible. We also offer a Guaranteed Interview Scheme (GIS) for candidates who consider themselves to have a disability as defined under the Equality Act 2010. If you indicate this option in your application and your application demonstrates that you meet the essential criteria for the role, you'll be invited to interview or assessment. Choosing GIS doesn't guarantee a job offer. If you have any questions, please get in touch.

Who Are We? Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible! What are we looking for? You're a principal-level engineer first. The tech lead title is almost incidental. It just means you're the person the team orbits around, because that's what happens naturally when you're the one who understands the system most deeply and keeps the clearest head under pressure. The 10% that's people management fits inside your engineering work, not alongside it. You hire, you steer, you unblock, but you do it the way a strong engineer does everything: with good judgment, minimal ceremony, and no interest in making it a bigger deal than it is. You are still, genuinely, happiest close to the code and driving projects forward. You are also more than happy to take ownership over driving them forward. Programming languages don't impress you. You've used enough of them to treat them as what they are: different syntaxes for expressing the same fundamental ideas, some more suited to the problem than others, none worth being religious about. You've written things in languages that no longer exist, maintained systems built on frameworks that peaked at a conference talk in 2013, and learned the hard way that novelty and progress are not the same thing. When you join a new codebase, you go quiet and start reading. You find the abstractions that are holding up weight, identify the ones that are just decorative, and build a mental model of the whole thing before you touch anything. Then you make one small, careful change, and the way it lands tells you everything you didn't yet know. You have strong, well-earned instincts around performance. Hot-path optimisation, speculative execution, lazy initialisation: these feel obvious to you, and you've mostly stopped being surprised when they don't feel obvious to others. You know where latency actually hides, and it's rarely where the team thinks it is. You profile before you optimize, but you usually already know what you're going to find. Your system design isn't flashy. It's load-bearing. You've seen enough over-engineered architectures to have a near-allergic reaction to complexity that isn't earning its keep. When you design something, it's because you've thought about what it needs to do in two years, not just the next sprint. Once you've got your footing in the project, you'll build the team around it. You know how to hire for this kind of work. You're looking for engineers with genuine curiosity, sound instincts, and the humility to learn a system before trying to improve it. You'll form a team that can own hard problems. Getting that right is important to you, but it's not where you live. Where you live is in the work itself. In a well-reasoned commit. In a system that behaves exactly as it should at 3am when nobody's watching. In the quiet satisfaction of a codebase that's a little more honest than it was before you touched it. The homelab is always running something. You'll tell us about it if we ask, and we're asking. If this reads less like a job description and more like a description of you, good. That's what we were going for. What will you be doing? Manage your own and your team's time while adhering to priorities set by the company Own complex engineering problems end-to-end, from problem framing and design through to delivery and iteration Take responsibility for critical areas of the platform, ensuring they remain reliable, performant, and maintainable Build new features and improve existing ones across our platforms. Refactor legacy and modern codebases pragmatically, balancing long-term health with delivery needs Write tests (unit, integration, and end-to-end) to ensure software reliability. Be involved in every phase of the software lifecycle, from ideation to deployment. Participate in (and at times lead) deep technical discussions, helping drive sound decisions and trade-offs Work hands-on across backend and frontend systems, stepping in wherever the problem lives Identify inefficiencies and help streamline workflows, reducing unnecessary work. Collaborate closely with other senior engineers, raising the bar through example rather than authority Take ownership of your work, ensuring high-quality results and maintainable solutions. What will you bring along? 15+ years hands-on experience building and maintaining complex web applications Have been directly responsible for development and successful (or not so successful) release of multiple major projects from their inception to production and subsequent operation In your portfolio there are multiple projects that you have worked on for more than 2.5 years Clear technical communication; able to explain and defend design decisions to senior engineers and non-engineers alike Expert PHP developer (12+ years); Symfony or equivalent frameworks 10+ years modern JavaScript; React or Vue (Next/Nuxt a plus) Expert level knowledge in at least one more programming language (Python a plus) Full-stack architecture expertise: monoliths, services, and hybrids Power user cloud deployment and scaling (AWS preferred) experience and abilities Expert Linux user; including daily containerized workflows with Docker Expert in infrastructure automation: Terraform, Ansible Power user level CI/CD pipeline and release workflow ownership Experience in automated testing: unit, integration, E2E; TDD where appropriate Expert level knowledge in and around web security fundamentals: auth, authorization, data protection, secure coding Legacy + modern codebase fluency; ability to work on incremental modernization Strong independent technical ownership and accountability We are always looking for the best candidates, so if you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you! How We Support Our Contractors An annualised rate of €145,000 + retention bonus scheme: Competitive contractor rate with a generous bonus paid every 6 months based on your time with us. Top-Notch Workstation: We provide a MacBook or Dell, branded merchandise, and everything you need for an optimal work environment. Global Co-Working Access: Work from a global network of co-working spaces to keep your work-life dynamic and flexible. Flexibility: Enjoy full flexibility in work location and hours, supporting a work-life balance tailored to your needs. Events and Gatherings: Participate in exciting events throughout the year, including team gatherings, cultural events, and other fun activities.

Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring Staff / Senior AI Engineers who are comfortable building and improving our AI agents and pushing the boundaries of what's possible with LLMs. Details Location: London, UK (Hybrid, In-Person 4 days a week) Experience Required: 4+ years Visa: We do not sponsor visas. Must have the right to work in the UK. About Capsa AI At Capsa, we're on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters - creating value. We're lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we've grown ARR by 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we're just getting started. The Role A senior AI engineer at Capsa is expected to own projects and features from conception to production, focusing on our core AI capabilities and agent infrastructure. Key responsibilities Improving our agent's capabilities - design and implement new features that endow our agent with human level investment expertise. Designing and optimizing prompts, agent architectures, and reasoning chains to maximize output quality and reliability. Evaluating and integrating new models, techniques, and research to keep our AI capabilities at the cutting edge. Improving connectivity - integrate and incorporate additional data sources into our agent loop, increasing the depth and breadth of the analyses that can be performed. Maintaining high code quality - uphold rigorous standards across our codebase, ensuring tech debt doesn't impede our velocity. Recent projects Agentic assistant with a finance focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework As an early stage startup, working at Capsa will be hard work, it will be messy and at times it will be stressful. However, you will: Work directly with our founding team. Participate in the upside of an ultra growth venture. Shape the company's vision and have a direct impact on its success. Have the opportunity for fast career growth. Apply if You'll likely be a great fit if most of the following describe you: You have 4+ years of experience as a software engineer with significant exposure to AI/ML systems in a venture backed startup or top tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, LLMs (OpenAI, Anthropic, open source models), agent frameworks, RAG pipelines, vector databases, FastAPI, Postgres, ElasticSearch. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. Locations London, UK International House, 101 King's Cross Road, WC1X 9LP New York, US 228 Park Ave S, New York, 10003

Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring Staff / Senior Fullstack Engineers who are comfortable contributing across all layers of the application and developing features end to end. Details Location: London, UK (Hybrid, In-Person 4 days a week) Experience Required: 4+ years Visa: Unfortunately, we don't sponsor visas yet. You must have the right to work in the UK. About Capsa AI At Capsa, we're on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters - creating value. We're lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we've grown ARR by 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we're just getting started. The Role A senior software engineer at Capsa is expected to own projects and features from conception to production, working across the stack to deliver improvements to our AI platform. Key Responsibilities Improving our agent's capabilities - design and implement new features that endow our agent with human level investment expertise. Improving connectivity - integrate and incorporate additional data sources into our agent loop, increasing the depth and breadth of the analyses that can be performed. Maintaining high code quality - uphold rigorous standards across our codebase, ensuring tech debt doesn't impede our velocity. Recent Projects Agentic assistant with a finance focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework As an early stage startup, working at Capsa will be hard work, it will be messy and at times it will be stressful. However, you will: Work directly with our founding team. Participate in the upside of an ultra growth venture. Shape the company's vision and will have a direct impact on its success. Have the opportunity for fast career growth. Apply if You have 4+ years of experience as a software engineer in a venture backed startup or top tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, LLMs, Typescript, React. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. Locations London, UK International House, 101 King's Cross Road, WC1X 9LP New York, US 228 Park Ave S, New York, 10003

Location: Remote Reports to: Engineering Manager We are a fast-growing company building next-generation GPU cloud infrastructure. NexGen Cloud is the company behind Hyperstack, a cloud platform providing on-demand and private cloud infrastructure for high-performance workloads. Hyperstack is used by teams running compute-heavy applications that require speed, reliability, and control. Our platform enables organisations to train, fine-tune and deploy AI models using scalable GPU infrastructure. We're a scale-up by design - moving quickly, solving complex technical challenges and building technology with real-world impact. At the core of NexGen Cloud is a team of curious, driven people who care deeply about quality, ownership and collaboration. Position Summary We are seeking a Senior Software Engineer to join the team building AI Studio, Hyperstack's rapidly growing platform for developing and deploying generative AI workloads. AI Studio enables customers to fine-tune models, evaluate performance and deploy production inference without needing to manage underlying infrastructure. In this role you will design and build the core systems powering the platform, including backend services, APIs and user-facing features that orchestrate model training, evaluation, and deployment at scale. You will take ownership of complex product areas, contribute to architectural decisions and help ensure the platform remains scalable, reliable and performant as adoption continues to grow. Key Responsibilities System Ownership & Architecture Design, build and evolve core backend services and platform components, making architectural decisions that support scalability, reliability and long-term maintainability. End-to-End Feature Development Develop and maintain both backend services and user-facing interfaces that support AI workflows including model training, evaluation and deployment. Code Quality & Engineering Standards Write clean, maintainable and well-tested code while contributing to code reviews and helping raise engineering standards across the team. Technical Collaboration Work closely with Product, Design and Engineering teams to translate complex requirements into production-ready systems and features. Platform Reliability & Performance Improve system observability, diagnose production issues and optimise performance to ensure the platform operates reliably at scale. Documentation & Knowledge Sharing Produce and maintain clear technical documentation for systems, APIs and platform features. Technical Leadership Support and mentor other engineers through collaboration, design discussions and code reviews. Continuous Improvement Identify opportunities to improve architecture, tooling and development processes that enhance platform quality and developer productivity. Required Skills Strong experience designing and operating production backend systems and APIs Strong proficiency in Python and backend frameworks such as Flask Experience building full-stack applications using modern frameworks such as Next.js Experience designing scalable distributed systems and platform architectures Solid understanding of API design, service boundaries, and data systems (SQL and NoSQL) Experience with Git, CI/CD pipelines, Docker and Kubernetes Proven experience managing production systems including monitoring, debugging and incident response Soft Skills Strong system design and architectural thinking Ability to translate complex technical requirements into practical solutions Strong ownership mindset with accountability for production systems Collaborative approach to working with cross-functional teams Nice to Have Experience working with LLMs, generative AI platforms or model orchestration systems Exposure to model training, fine-tuning, inference or evaluation pipelines Experience with GPU-intensive workloads or distributed computing systems Experience building developer platforms, experimentation tooling or internal developer tools Contributions to open-source projects or AI / ML tooling What We Offer Competitive salary with annual discretionary bonus Flexible working arrangements (remote or hybrid) Opportunity to work on cutting-edge AI and GPU cloud infrastructure Clear career progression in a rapidly scaling technology company Collaborative international culture built on trust, ownership and transparency Join Our Team We encourage applications from candidates of all backgrounds and experiences. Our commitment to diversity and inclusion reflects our belief that diverse teams drive innovation and better technology. Join NexGen Cloud and help build the infrastructure powering the next generation of AI platforms. We take your privacy seriously. The information you provide in your application will be used only for recruitment purposes and processed in line with the General Data Protection Regulation (GDPR). By submitting my application, I agree that NexGen Cloud will process my personal data for recruitment purposes, in line with the GDPR. This includes reviewing my application, contacting me, and, if applicable, progressing my candidacy. My data will be retained for up to 12 months unless I request otherwise. I understand I can withdraw consent or exercise my rights (access, rectification, erasure, objection) at any time by contacting . Full details are available in our Privacy Policy -

Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role As a Senior / Lead Data Scientist in Product Analytics you'll be at the centre of strategic decision making within your team. Working as part of a cross functional squad alongside product managers, designers, and engineers, you'll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products. You'll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo. We are looking for a self starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product. What you'll be doing Conducting deep dive analysis in your product domain to understand user behaviour Working with Product, Machine Learning, Design, and Engineering team members in your area to build an insight driven product strategy that leads to high impact outcomes. Influencing the roadmap of your team through presentation of data based recommendations Defining how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters Conducting regular A/B tests and causal analyses to determine the impact of product changes on success metrics Building models of user segmentation, marketing attribution, customer lifetime value, etc. Working with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase What we're looking for 5+ years of experience doing quantitative analysis within a digital product environment Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Ability to define new product metrics from complex, unstructured data Excellent SQL skills Fluency in Python and its application in data analysis is a nice to have, but not essential Knowledge of statistics (e.g. hypothesis testing, regressions) Strong communication skills, with the ability to work fluidly across technical and non technical teams. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow). A bias for action and ownership, you're excited to build from scratch, own it end to end, and deliver value fast. What do you get for all your hard work? A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles. This is an AX3 or AX4 level role. AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London, we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Welcoming everyone We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.

Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. Through our newly launched Clinical Research Recruitment Service, we enable clinical research teams to find the right participants, faster. As this service grows, we have a unique opportunity to transform proven, expert-led recruitment workflows into scalable technology that enhances, rather than replaces, clinical judgement. Our ambition is to deliver increasingly seamless recruitment experiences for customers by building data led capabilities that capture what works best today and make it repeatable, reliable, and scalable tomorrow. In the near term, this means building better data foundations and tools that support expert-led recruitment as it works today. As we learn what can be reliably standardised, these capabilities will increasingly support more streamlined and self service ways of working for customers. Senior Data Scientist will help turn this ambition into reality by shaping the data foundations and technical capabilities we build. You will bring a strong understanding of clinical recruitment workflows and apply it to the design of data products, analytical services, and enabling infrastructure. Working closely with engineers and scientific and operational experts, you will help guide how our recruitment technology evolves, ensuring it delivers immediate value while positioning us for long term scale. What you'll do Work closely with science, data and engineering teams to understand how recruitment feasibility and cohort selection are delivered in practice, and how customers engage with these outputs Help translate existing recruitment workflows into clear data and technical requirements, supporting engineers to build capabilities that reflect operational and user needs Contribute to the development of data products and services that underpin recruitment delivery, from internal tools used by expert teams through to capabilities that may later support customer facing workflows Build and maintain production quality code, with a focus on trust, transparency, and fitness for use in a regulated environment Support early prototyping and iterative delivery, using hands on experience to inform what is ready to be standardised, automated, or scaled Define and document data requirements and pipeline logic, assumptions, and quality checks, working with others to ensure recruitment outputs remain reliable, interpretable and auditable as usage grows Collaborate with governance, privacy and compliance colleagues to ensure ethical, regulatory and data protection requirements are embedded into how data is used and shared Share insights from delivery, customer interactions and data usage to help inform priorities and sequencing as recruitment technology evolves over time This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science or advanced analytics within health, life sciences, or clinical research contexts Strong understanding of clinical research recruitment, feasibility assessment or cohort identification workflows, and how these are delivered in practice Experience working with real world health or clinical datasets (e.g. electronic health records, registries, or research cohorts) Ability to translate clinical and operational requirements into clear analytical and technical approaches Experience collaborating closely with software engineers on production systems, including contributing to the design of data pipelines or services Strong programming skills (Python preferred, SQL, and version control) with the ability to write maintainable, auditable code suitable for production use Familiarity with working in regulated or governed data environments, with an appreciation of ethical, privacy and compliance requirements Experience working in or alongside CROs, digital CROs, clinical research organisations, or clinical technology companies is desirable Comfortable working in ambiguous problem spaces, where requirements emerge through delivery, learning and iteration Able to communicate complex concepts clearly to both technical and non technical audiences, and to contribute effectively within cross functional teams Pragmatic, thoughtful and motivated by creating real world impact through collaborative problem solving. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects Benefits Competitive base salary from £75,000 Generous Pension Scheme - We invest in your future with employer contributions up to 12% 30 Days Holiday pro rate + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. Through our newly launched Clinical Research Recruitment Service, we enable clinical research teams to find the right participants, faster. As this service grows, we have a unique opportunity to transform proven, expert-led recruitment workflows into scalable technology that enhances, rather than replaces, clinical judgement. Our ambition is to deliver increasingly seamless recruitment experiences for customers by building data led capabilities that capture what works best today and make it repeatable, reliable, and scalable tomorrow. In the near term, this means building better data foundations and tools that support expert-led recruitment as it works today. As we learn what can be reliably standardised, these capabilities will increasingly support more streamlined and self service ways of working for customers. Senior Data Scientist will help turn this ambition into reality by shaping the data foundations and technical capabilities we build. You will bring a strong understanding of clinical recruitment workflows and apply it to the design of data products, analytical services, and enabling infrastructure. Working closely with engineers and scientific and operational experts, you will help guide how our recruitment technology evolves, ensuring it delivers immediate value while positioning us for long term scale. What you'll do Work closely with science, data and engineering teams to understand how recruitment feasibility and cohort selection are delivered in practice, and how customers engage with these outputs Help translate existing recruitment workflows into clear data and technical requirements, supporting engineers to build capabilities that reflect operational and user needs Contribute to the development of data products and services that underpin recruitment delivery, from internal tools used by expert teams through to capabilities that may later support customer facing workflows Build and maintain production quality code, with a focus on trust, transparency, and fitness for use in a regulated environment Support early prototyping and iterative delivery, using hands on experience to inform what is ready to be standardised, automated, or scaled Define and document data requirements and pipeline logic, assumptions, and quality checks, working with others to ensure recruitment outputs remain reliable, interpretable and auditable as usage grows Collaborate with governance, privacy and compliance colleagues to ensure ethical, regulatory and data protection requirements are embedded into how data is used and shared Share insights from delivery, customer interactions and data usage to help inform priorities and sequencing as recruitment technology evolves over time This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science or advanced analytics within health, life sciences, or clinical research contexts Strong understanding of clinical research recruitment, feasibility assessment or cohort identification workflows, and how these are delivered in practice Experience working with real world health or clinical datasets (e.g. electronic health records, registries, or research cohorts) Ability to translate clinical and operational requirements into clear analytical and technical approaches Experience collaborating closely with software engineers on production systems, including contributing to the design of data pipelines or services Strong programming skills (Python preferred, SQL, and version control) with the ability to write maintainable, auditable code suitable for production use Familiarity with working in regulated or governed data environments, with an appreciation of ethical, privacy and compliance requirements Experience working in or alongside CROs, digital CROs, clinical research organisations, or clinical technology companies is desirable Comfortable working in ambiguous problem spaces, where requirements emerge through delivery, learning and iteration Able to communicate complex concepts clearly to both technical and non technical audiences, and to contribute effectively within cross functional teams Pragmatic, thoughtful and motivated by creating real world impact through collaborative problem solving. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects Benefits Competitive base salary from £75,000 Generous Pension Scheme - We invest in your future with employer contributions up to 12% 30 Days Holiday pro rate + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

Location London Employment Type Full time Location Type Hybrid Department Engineering Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will focus on friction points around primarily backend issues for all teams in Engineering (90 Engineers). How should we do inter-service testing? Some teams are using monorepo, others aren't. How can we bring overall stability up? Generally steering BE in the right direction. In the near future, standardising things across all of Engineering and bringing R&D teams (another 40 Engineers and Researchers) closer. You will have ownership of projects that span quarters, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of Engineering, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 12-18 months' time. You will work end-to-end, from our client application written in React to our monolithic backend written in Python, and lead projects that span across multiple teams. What we're looking for: At least ten (10) years of experience as a software engineer, at least 2 at the Senior Staff/Principal level (L7+). Previous leadership experience in driving projects across multiple teams (50+ Engineers). Experience in a high-performing engineering Org that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. Relevant engineering experience for a team building an enterprise-grade SaaS product. Extra points for delivering AI-powered video generation product, billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 200.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

What we're all about. Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here - and it's what will make our future. At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. Opportunity You'll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions, including platforms supporting data intensive and AI driven workloads. The platform is comprised of a landscape of low maintenance, on demand, and highly secure environments that host our software for customers and partners. These environments also support a wide range of internal use cases, underpinning the work of our R&D teams. As a Senior DevOps Engineer, you will: Contribute to the evolution and improvement of our cloud based platform, with a strong focus on availability, resilience, performance and security. Take ownership of significant technical problems and initiatives, driving them through to delivery with a high degree of autonomy. Enhance our automation practices, helping reduce operational toil and improve the consistency and reliability of our platform, including the use of modern tooling and AI assisted approaches where appropriate. Collaborate closely with software engineering teams to strengthen our CI/CD pipelines and optimise build, test and deployment workflows, with an eye on improving overall developer productivity. Support the development of cloud based product capabilities that customers can integrate into their own DevOps processes. Contribute to technical discussions, provide guidance on best practices, and help shape engineering standards within the team. Offer informal mentoring and knowledge sharing to engineers, supporting the growth of the wider DevOps community. This role focuses on deep hands on technical expertise and the ability to lead complex workstreams, while stopping short of the architectural ownership and broader technical leadership responsibilities of a Lead Engineer. Our Stack Includes: Kubernetes, Docker, Istio GitOps / DevOps tooling: ArgoCD, Jenkins, GitHub Actions Scripting & Automation: Bash, Python, Groovy, Golang IaC & Infrastructure Management: Terraform, Ansible, Packer, CasC Provisioning Frameworks: Elasticsearch, Spark, Hadoop, Airflow, PostgreSQL, etc. Observability: Fluentd, Prometheus, Grafana, Alertmanager Public Cloud: Primarily GCP and Azure, with some AWS We are looking for candidates who: Take pride in designing, building and delivering high quality, well engineered solutions to complex problems. Think holistically, ensuring solutions integrate effectively into large scale distributed systems. Bring strong hands on experience across several aspects of our cloud and DevOps stack. Have solid experience with programming/scripting/automation. Demonstrate a strong understanding of information security principles. Have experience operating and supporting cloud native platforms in production environments. Are comfortable working autonomously, leading technical workstreams and driving improvements. Enjoy sharing knowledge and supporting the development of other engineers. Experience in the following would be beneficial: Infrastructure management and general Linux administration. Operating microservice based architectures (scaling, upgrading, traffic management, deployment strategies). Software build, release engineering and CI/CD pipeline enhancement. Exposure to a broad selection of the technologies listed in our tech stack. Exposure to platforms or tooling that support AI/ML workflows, data intensive pipelines, or intelligent automation. Benefits Competitive salary and Company Bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Private Healthcare with AXA EAP, Well-being Days, Gym Discounts Free Calm App Subscription Workplace Nursery Scheme Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog friendly Offices Our mission We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We're not a start up. Not anymore. But we've not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction - the future. It's all about you. It's important to us that you feel welcome, valued and respected. After all, it's your individuality and passion for what you do that will make you Q. We see that - which is why we're proud to be an Equal Opportunity Employer. We've created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness - whoever you are - if you are a passionate, curious and caring human being who wants to push the boundaries of what's possible, then we want to hear from you.

Junior Test Engineer 18 months experience required Hyrid onsite in Newcastle Must be SC elegible If interested please get in touch On the lookout for the followingJava developerExpereince - Junior12 Months FTC£33,000 a yearHybrid onsite in NewcastleIf interested please get in touch with your cv Senior Data Engineer Python Airbyte Apache BigQuery EducationTech Remote, London £70k Looking to help shape Data Strategy for a scaling Tech-for-Good business?I'm partnered with a AI first data and analytics platform built for schools, multi academy trusts and education groups. Their technology connects fragmented school data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi agent AI system to surface actionable insights for school leaders in seconds.They are in a high growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The

Junior Test Engineer 18 months experience required Hyrid onsite in Newcastle Must be SC elegible If interested please get in touch On the lookout for the followingJava developerExpereince - Junior12 Months FTC£33,000 a yearHybrid onsite in NewcastleIf interested please get in touch with your cv Senior Data Engineer Python Airbyte Apache BigQuery EducationTech Remote, London £70k Looking to help shape Data Strategy for a scaling Tech-for-Good business?I'm partnered with a AI first data and analytics platform built for schools, multi academy trusts and education groups. Their technology connects fragmented school data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi agent AI system to surface actionable insights for school leaders in seconds.They are in a high growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The

Hybrid Working Model 2 days in London City Office Type: Daily rate contract Term: 12 months We are looking for a talented and experienced Data Analyst to take on a senior role in the team. This role requires someone that's well-versed in a range of tooling, ideally someone that's been in an environment where engineering excellence and product thinking has been applied to data. Developing comprehensive reporting, data, and analytical products Leading on the delivery of several types of work surrounding New Ventures, Global Currency and Business Transformation Serving as a senior level individual contributor Translating complex business requirements into data solutions that are high-quality Using customer data to create models that will be used to predict the size of the opportunity of potential strategic initiatives, including new and maturing ventures Instrumenting dashboards to track performance of these initiatives and ventures, and to compare performance to predictions Pulling insights from this performance data to help us better understand our customers behaviour and to improve our offerings to them over time Incrementality analysis around existing products and services and the impact on key metrics such as acquisition, engagement, retention and financial contribution Producing partner facing analysis and reports that deliver meaningful insights in an easily comprehensible way for commercial stakeholders Required Skills: Extensive experience taking a problem from ideation through to solution that's driven business outcomes Experience of writing queries in python to process, gain insight and visualise the data In-depth with writing and optimising SQL queries for data analysis and reporting Experience in telling great stories with data, with the ability to create powerful visualisation to bring it to life - Tableau or equivalent visualisation tool experience A problem solver with an analytical mind that focuses on progress to get things into our colleagues hands sooner. Experience with applying statistical methodologies Experience in designing and building in a complex environment with high volumes of data Worked with agility in mind, in an environment where you break work down and focus on delivering iteratively

About Warden AI AI is being deployed across every industry, transforming how decisions are made and how people interact with technology. But as adoption accelerates, so do concerns about bias, accuracy, and accountability. Warden AI safeguards this transformation by making sure AI systems are fair, transparent, accurate, and explainable. Founded in 2023 and backed by investors from Playfair, Monzo, Onfido, and Codat, our platform continuously audits AI models, delivering independent oversight through dashboards, reports, and certifications. With teams in London and Austin, we partner with both fast-growing platforms and global enterprises to enable the responsible adoption of AI worldwide. Read why Playfair Capital invested in Warden AI. About the role We are hiring a Senior Data Scientist to define the analytical standards that underpin our evaluation of high stakes AI systems. The role spans fairness evaluation, rigorous statistical analysis, and an applied understanding of hiring and selection procedures. Most candidates will start strongest in one of these areas and develop depth across all three, enabling you to influence everything from how we design tests and interpret results to how we guide customers, shape product decisions, and meet the expectations of an evolving responsible AI landscape. You will report to the CTO and work closely with the founders and product team across hands on analysis, methodological design, and strategic thinking. Your work will elevate our analytical standards, strengthen the confidence customers place in us, and play a central role in establishing Warden as the standard setter for rigorous, defensible evaluations. As one of our early data hires, you will have high agency to shape both how our analytical function evolves and the scope of your own role as we grow. What you'll do Here are a few examples of things you might be working on: Set and uphold rigorous analytical methodology. Define the statistical tests, fairness metrics, sampling strategies, and evaluation frameworks we rely on, and embed the checks and validation patterns that keep our analytical work accurate, reproducible, and defensible. Translate regulations and standards into practical tests. Work with our policy experts to translate legal requirements, guidance, and emerging HR and AI standards into clear, defensible audit methodologies. Design the foundations for audit execution. Create the datasets, test frameworks, workflows, and analysis patterns that enable consistent, efficient, and high quality audits. Take a long term, strategic view. Identify emerging risks and opportunities in the industry and the AI landscape, and help define how our AI assurance approach should evolve over the next 12-24 months. Guide the evolution of our long term data capabilities. Anticipate the data assets and analytical foundations we will need as our product expands and the market and industry context evolves. Define how we analyze and interpret results. Establish the principles, evidence thresholds, and approaches for handling uncertainty and limitations, and help the team communicate findings clearly and consistently. Support key high stakes conversations. Bring technical authority on data, methodology, and context to stakeholder discussions and help address detailed questions with confidence. Contribute to documentation and external credibility. Write accessible explanations of our approach and contribute to white papers, blog articles and industry reports to help build trust in our work. What you should bring Relevant academic or equivalent background with a strong, professional senior level track record over 6+ years and deep expertise in some of the following areas: Designing and implementing rigorous evaluation methodologies for responsible AI in production, including black box and counterfactual approaches, with strong probabilistic reasoning and inference under uncertainty. Evaluation data engineering, including designing synthetic and curated test datasets under privacy/PII constraints, grounded in external reference sources, with strong judgement on realism thresholds and the validity limits. (Nice to have) HR analytics or I O psychology, with experience in selection processes, adverse impact analysis, validity considerations, or defensible evaluation practices. Fluency in Python for analytical work. You're comfortable using Python for statistical analysis, data preparation, and reproducible evaluation workflows. Grow expertise across domains. You take ownership of your development and quickly build expert level competence across all parts of the role. Comfortable with both depth and ambiguity. You enjoy tackling open ended analytical problems, reasoning through uncertainty, and bringing structure where none exists. Thoughtful and rigorous. You care about evidence, clarity, and defensibility, and you take pride in producing analysis that stands up to scrutiny. A clear and responsible communicator. You can explain complex ideas simply, adapt your message for different audiences, and help others make informed decisions. Collaborative and high agency. You like working closely with founders, engineers, and customers, and you move work forward even when information is incomplete. Context aware and able to connect dots. You track how regulation, standards, customer needs, and industry expectations evolve, and use that context to inform decisions and shape direction. Motivated by impact. You want your work to matter, and you're excited by the chance to help shape how AI assurance is done as the field matures. This role isn't for you if You prefer narrow, well scoped analytical problems. The work spans statistics, regulation, HR practice, product, and customer context. You need complete information before acting. Many decisions rely on judgment under uncertainty and evolving guidance. You don't enjoy creating structure from ambiguity. You'll help shape frameworks, workflows, and evaluation patterns as we grow. You'd rather follow established methods. This role involves defining and refining our evaluation process for AI systems. You're uncomfortable owning the quality bar. You'll often be the one deciding if an analysis is defensible enough to publish. You prefer to stay behind the scenes. You'll join high stakes customer conversations where clarity and judgement matter. You avoid work that blends analysis with explanation. Turning complex results into clear, responsible guidance is core to the job. You prefer to avoid external scrutiny. The role involves sharing our work with enterprise stakeholders and the wider ecosystem, and contributing to public facing materials to build trust and credibility. What we offer: £100 120k+ base salary + meaningful equity in rapidly growing business 33 days holiday (incl. bank holidays) Hybrid working model (we spend 3 days/week in our London office) Learning and Development budget of £500 per year Interview process Our interview process involves the following stages: Initial screen (40min) - Intro call with our CTO to align on your background and the role. Founder screen (40min + 40min) Conversation with our CEO about values, how you collaborate in a high agency, fast moving environment, and how you turn expertise into customer and market trust. Conversation with our CTO/Data about your analytical judgement, how you identify what really matters in ambiguous, high stakes evaluations, and your clarity of communication. Take home task - Short analytical case study that reflects the kind of real world evaluation challenges we face and sets the stage for the on site case review. On site interview (80min) - A collaborative case review and a conversation about the strategic impact you could have on Warden over the next 12-24 months. Reference checks & Offer - We move quickly from references to a clear offer. If you have any specific questions or want to talk through reasonable adjustments ahead of or during the application, please contact us at any point at Equal opportunities for everyone Diversity and inclusion are a priority for us, and we are making sure we have lots of support for all of our people to grow at Warden AI. We embrace diversity in all of its forms and create an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of supporting the responsible adoption of AI systems. We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status or disability status.

At a Glance Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring Staff / Senior Backend Engineers who are comfortable building robust, scalable systems that power our AI platform. Details: Role: Backend Engineer Location: London, UK (Hybrid, In-Person 4 days a week) Experience: Required: 4+ years Visa: Unfortunately, we don't sponsor visas yet. You must have the right to work in the UK. About Capsa AI At Capsa, we're on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters - creating value. We're lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we've grown ARR by 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we're just getting started. The Role A senior backend engineer at Capsa is expected to own projects and features from conception to production, building the infrastructure and services that underpin our AI platform. Key responsibilities include: Improving our agent's capabilities - design and implement new features that endow our agent with human-level investment expertise. Building scalable data pipelines - design and implement systems that ingest, process, and index large volumes of documents and financial data. Developing robust APIs and services - create performant, reliable backend services that power our platform. Improving connectivity - integrate and incorporate additional data sources into our agent loop, increasing the depth and breadth of the analyses that can be performed. Maintaining high code quality - uphold rigorous standards across our codebase, ensuring tech debt doesn't impede our velocity. Recent projects include: Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In-house, streaming-first agent framework AI-assisted document editor As an early stage startup, working at Capsa will be hard work, it will be messy and at times it will be stressful. However, you will: Work directly with our founding team. Participate in the upside of an ultra-growth venture. Shape the company's vision and will have a direct impact on its success. Have the opportunity for fast career growth. Enjoy yourself! Apply if You'll likely be a great fit if most of the following describe you: You have 4+ years of experience as a software engineer in a venture backed startup or top tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, Redis, message queues, distributed systems You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. Additional Perks Alongside the core role and growth opportunity, we also offer: Private healthcare insurance. One month per year remote working. Budget for setting up your Home-Office. Generous referral scheme (£10k per hired referral).

Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring Staff / Senior Backend Engineers who are comfortable building robust, scalable systems that power our AI platform. Details: Location: London, UK (Hybrid, In-Person 4 days a week) Experience Required: 4+ years Visa: Unfortunately, we don't sponsor visas yet. You must have the right to work in the UK. About Capsa AI At Capsa, we're on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters - creating value. We're lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we've grown ARR by 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we're just getting started. The Role A senior backend engineer at Capsa is expected to own projects and features from conception to production, building the infrastructure and services that underpin our AI platform. Key Responsibilities Improving our agent's capabilities - design and implement new features that endow our agent with human-level investment expertise. Building scalable data pipelines - design and implement systems that ingest, process, and index large volumes of documents and financial data. Developing robust APIs and services - create performant, reliable backend services that power our platform. Improving connectivity - integrate and incorporate additional data sources into our agent loop, increasing the depth and breadth of the analyses that can be performed. Maintaining high code quality - uphold rigorous standards across our codebase, ensuring tech debt doesn't impede our velocity. Recent Projects Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In-house, streaming-first agent framework As an early stage startup, working at Capsa will be hard work, it will be messy and at times it will be stressful. However, you will: Work directly with our founding team. Participate in the upside of an ultra-growth venture. Shape the company's vision and will have a direct impact on its success. Have the opportunity for fast career growth. Apply if You'll likely be a great fit if most of the following describe you: You have 4+ years of experience as a software engineer in a venture backed startup or top tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, Redis, message queues, distributed systems You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. Benefits One month per year remote working. Budget for setting up your Home-Office. Generous referral scheme (£10k per hired referral). London, UK International House, 101 King's Cross Road, WC1X 9LP New York, US 228 Park Ave S, New York, 10003