QA Engineer using Python for test automation, including UI and API testing within Python-based frameworks, along with Gherkin, Jira/Xray, Git, and CI/CD pipelines. You will join a cross-functional Agile squad building and evolving automated testing frameworks for the National Genomic Research Library and related healthcare software systems supporting genomics medicine and research.

You will design and maintain automated test frameworks using Java, Selenium, and RestAssured, creating UI, API, and regression tests within cross-functional Agile squads. Genomics England develops complex healthcare software systems enabling genomic medicine and research.

Schroders★4.0 (47)· London

You will work with React.js, Next.js, Node.js, cloud-native technologies, CI/CD, and AI-assisted tools. The team builds and supports digital platforms for content management, search, analytics, and client engagement. No team size is stated.

Wise★3.5 (42)· London

Work with Python, deep learning image models, and large image/tabular datasets to train and manage machine learning models. You will join the KYC Global and Onboarding Team, building Document verification systems that mitigate risk during customer onboarding.

You'll work with .NET/C#, Python, TypeScript, NX Monorepo, CI/CD, AI-powered tooling, contract testing, and containerised testing (Testcontainers). The role defines and builds testing architecture, reusable frameworks, and developer tooling for a strategic Global Markets Front Office trading platform at a leading investment bank.

A Senior Full Stack Engineer role as Engineer #2 at a pre-seed AI startup building an AI platform for pharma commercial teams, using Python, FastAPI, TypeScript, Next.js, Azure, MongoDB, Elasticsearch, and Neo4j. Work includes data pipelines, AI-powered search, analytics, and enterprise workflows. The role requires experience on a data/AI-heavy B2B product, regulated industry exposure, and comfort on a tiny engineering team.

You will build production AI software using Python, working alongside engineers from Google DeepMind. This fast-growing AI startup is expanding its London engineering team following significant investment and enterprise customer growth, and you will work directly with experienced engineers in London and New York.

You'll work with Python, PyTorch, SGLang, LLMs, embeddings/reranking models, PEFT/LoRA, RAG, Docker, microservices, and cloud infrastructure. The team builds AI-powered applications transforming specialized financial markets, developing and deploying LLM solutions with significant autonomy. You'll join a small, experienced engineering team collaborating directly with founders and domain experts.

You will research, design, and develop deep learning models using transformer architectures, PyTorch, TensorFlow, and Python, plus AWS SageMaker and S3. The team builds foundation models from large-scale transactional and behavioural datasets to power customer intelligence for a major UK bank.

You will work with Java, Spring Boot, Docker, Kubernetes, and message brokers to build cloud-native microservices, RESTful APIs, and event-driven systems. You'll lead the development of Chip Financial's unique Lombard lending platform serving both internal brands and external SaaS clients, while mentoring junior engineers.

Develop and extend investment strategy architecture using Python and Django, implementing and backtesting quantitative trading strategies while exploring machine learning for parameter optimisation. The role bridges software engineering and quantitative research, collaborating with a small engineering team to deliver production-ready solutions.

Durlston Partners· London

Python, Pandas, NumPy, SQL, SQLAlchemy, version control, testing, and CI for building and maintaining a research environment for diversified systematic strategies in commodities. Projects include fixed income pricing, data acquisition, order execution, and monitoring tools for a global investment management fund.

Work with React/Next.js, Python (Django/FastAPI), Redis, Celery/RQ, Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). You'll build an AI data-integration and analysis platform that automates document processing for enterprise financial environments. The role includes end-to-end feature ownership and mentoring junior engineers as the team scales.

You’ll work with Microsoft Fabric, Python, Power BI, DAX, semantic models, Git, and AI-assisted development tools. You’ll build and optimize data ingestion pipelines, website/marketing analytics, returns reporting, and the wider analytics platform for digital, commercial, and operational teams. No team size is stated.

Build scalable backend systems, APIs, data pipelines, and DevOps practices using Python or full-stack JavaScript, integrating voice, reasoning, and context management. You will ship end-to-end product features for an AI layer designed to autonomously run small businesses for thousands of customers.

You will work with React, React Native, Node.js, TypeScript, SQL, AWS, and cloud-native AI-powered products. The company is a Series A–funded, fast-growing tech business building products that matter and planning to double in size. This Staff Engineer role owns business-critical product areas and mentors engineers while remaining deeply hands-on.