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.

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'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 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.

You will use C#, ASP.NET Core, React or Angular, REST APIs, microservices, Azure or AWS, Docker, and CI/CD tools. You will join a team delivering modern cloud-native applications for enterprise clients in the digital transformation space.

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.

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.

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 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.

You will work with Java 17+, Spring Boot, Oracle SQL, document store DBs, Kubernetes, Jenkins, and GitHub Copilot. The investment bank team builds mission-critical, high-performance systems providing end-to-end visibility into payment lifecycles for technical, operations, and reporting teams.

This role involves maintaining and building data pipelines using SQL, Python/Java, and cloud tools like Google Cloud Platform, BigQuery, Airflow, dbt, and Apache Spark. The team supports data analytics and reporting for a media company's portfolio. It focuses on integrating data from web analytics, CMS, subscription, and ad tech sources to enable business intelligence.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

Capgemini★3.7 (11k)· London

Works with Neo4j, Amazon Neptune, Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Designs and implements an enterprise knowledge platform using knowledge graphs, RAG, and GraphRAG to enable AI agents across Insurance, Payments, and Healthcare domains. Leads platform strategy and cross-functional engineering teams.

Capgemini★3.7 (11k)· London

Designs and implements enterprise knowledge platforms for AI agents across Insurance, Payments, and Healthcare domains, using graph databases (Neo4j, Amazon Neptune, TigerGraph, ArangoDB), retrieval technologies (Azure AI Search, Elasticsearch, Pinecone, Weaviate, Qdrant), and Python on cloud-native stacks (Azure, AWS, Kubernetes, Docker).

Reinforcement Learning Researcher working on Orbital, a physics-informed foundation model for energy operations. You will own RL-based optimisation and control, using PyTorch, RL (online/offline, model-free/model-based), MPC, dynamic programming, simulation environments/digital twins, Docker, and AWS/Azure.

Competition & Markets Authority★3.7 (15)· London

Data scientists join a ~20-person Data Science & Data Engineering team building tools on AWS, using Python, Git/GitHub, generative AI, agentic AI frameworks and web apps. The CMA regulates digital markets and protects consumers by analysing large-scale data and algorithms to ensure fair competition.

All Your BI★5.0 (5)· London

You will lead All Your BI's AI/GenAI work, setting technical direction for architecture, build-vs-buy, and production-grade LLM applications, RAG, agents, and tool-calling. You'll use Python, modern AI stack (Anthropic/OpenAI/open models, vector databases, orchestration), and LLMOps (evals, observability, guardrails). The team is a self-organizing, Holacracy-based data agency of 60+ people delivering managed BI services for logistics and industrial companies.

Work with Cypress, Playwright, Selenium, Appium, Postman, Jira, and Git to build and maintain automated test suites integrated into a CI/CD pipeline. As part of Reset Health's QA team, you will design manual and automated tests for web and native mobile apps while helping transition to greater automation and AI under an ISO13485 QMS.

NatWest Group★3.7 (1.2k)· London

You'll work with Cisco and Arista platforms, VxLAN, EVPN, Cisco Meraki, and multicast protocols to engineer and automate enterprise network infrastructure. This role supports NatWest Group's digital transformation, building secure, scalable network solutions for its financial services environment.

Talan★3.2 (67)· London

Senior Data Consultant will design, build, and maintain data pipelines using Python, working with data dashboards and quantitative analysis tools. They will lead data-led consulting projects focused on low-carbon technologies and energy transition policy for the Talan consultancy team, predominantly in the energy sector.