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.

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.

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.

Join a pre-seed voice AI startup as a Junior Fullstack Engineer, working with Python, AWS, and Kubernetes to build integrations, API fixes, and SDKs for enterprise clients. You'll support the Forward Deployed Engineering team deploying voice infrastructure across Africa and the Middle East.

Python, FastAPI, TypeScript, React, and GCP. Electric Twin builds a behavioral simulation platform that creates digital twins of populations to predict human behavior. You will join a team of 17.

Build and deploy production-grade agentic systems and RAG pipelines with Python, TypeScript, FastAPI, and React. As a founding engineer, lead architectural development of an AI-driven agency model replacing traditional property-market manual workflows with autonomous agents.

You will use Python, FastAPI, and advanced LLM techniques including chain-of-thought, RAG, and multi-agent tool use to build cognitive architectures for synthetic populations. Working within Electric Twin's Science team, you will design memory systems and decision-making frameworks that simulate human responses for behavioral prediction.

You will post-train, fine-tune, and distil language models using RL and reward design, writing high-quality Python while owning data pipelines and inference infrastructure. The company is building a Societal World Model to simulate real-time human opinion and influence for Fortune 500 organizations.

As a founding AI engineer, you’ll build production algorithms and evaluation pipelines using Python, LLMs, prompt engineering, OpenAI evals, PostgreSQL, and React/TypeScript. You will develop AI for patent generation, pushing LLM boundaries to boost efficiency for 400+ global IP teams. You work directly with PhD founders from UCL and Cambridge.

You will own back-end infrastructure and data strategy, building scalable GCP pipelines and APIs using Python and FastAPI, plus full-stack features. BlakBear is an Imperial College spin-out building advanced gas sensors and AI that predict food freshness in real-time to replace use-by dates.

Work with JavaScript, Vue.js/React/Angular, HTML/CSS, and Figma to build scalable UI components. Join TransPerfect’s TechOps team, which delivers technology and interfaces for the company’s GlobalLink platform.

Build mission-critical software for a UK defence AI programme using Python, Java, React, MongoDB, Kubernetes, VMware, and AWS/Azure. You will join a multidisciplinary engineering team delivering secure, full-stack solutions.