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 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.

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

Work with SQL, Python, AI tools (LLMs, AI agents), and data visualization tools (Tableau, Power BI, D3.js) on AWS, Snowflake, Postgres, and MySQL. Analyze private markets and alternative investment data, extracting insights from unstructured text (PDFs) and collaborating with Product and Machine Learning teams.

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.

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.

Work with Python, TensorFlow, PyTorch, scikit-learn, FastAPI/Flask, Docker, Kubernetes, open-source LLMs, vector databases, and AWS/Azure/GCP. Design, build, and deploy ML models, develop Generative AI and RAG pipelines, and fine-tune LLMs for a health-focused AI team.

Macquarie Group★3.8 (315)· London

Work with Python, FastAPI/Django, React, and AI-assisted tools like Claude Code and Copilot. You will lead platform evolution and architecture for the Real Assets and Real Estate technology team, building applications, data products, and AI-enabled capabilities that support the end-to-end asset lifecycle. As a senior technical leader, you guide engineering standards and mentor engineers.

You will work with Cypher, Neo4j, Terraform, REST APIs, Kafka/Confluent, Python, JavaScript, React, Go, OAuth 2.0, AuthZEN, and AI tools like Gemini and Claude. IndyKite builds a data trust and AI enablement platform using a live context graph to secure agentic AI workloads with identity-centric authorization. You will act as a technical evangelist, delivering demos, proofs of concept, and architectural guidance across enterprise sales cycles.

Persistent Systems★3.9 (626)· London

Work with Java, iOS, Swift, mobile architecture patterns, Test-Driven Development, and automated mobile testing tools to design and build the user interface and user experience for iOS financial applications. The role also involves cross-functional collaboration, code reviews, and ensuring scalable, maintainable, and optimized code.

Luxoft★4.5 (669)· London

You'll build an investment-insights solution using Agentic AI, working with Python, FastAPI, AWS, Git/CI/CD, vector databases, RAG patterns, and LLMs like OpenAI/Anthropic. The project generates investment insights from sales and research materials to speed client-meeting preparation. Nice-to-have skills include React/TypeScript and AgentCore, but team size is unstated.

NatWest Group★3.7 (1.2k)· London

You will work with React, Java, Spring Boot, REST APIs, Kafka, IBM MQ, iOS, and Android, applying test-driven development and Agile practices. As a member of a permanent feature team, you will design, develop, and test software for the bank’s platform, collaborating with engineers and architects.