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 architect and build a greenfield financial platform for cross-border payments in emerging markets, using TypeScript, React, and Node to ship user-facing features. You will design ledger infrastructure, custody layers, wallet systems, virtual accounts, and automated settlement workflows that integrate digital assets with traditional banking rails.

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.

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.

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.

Work with a modern TypeScript stack: Next.js App Router, Server Actions, React 19, Node.js, Drizzle ORM, PostgreSQL, Playwright, Vitest, and GitHub Actions. Join Rentmigo's two-person engineering team to build and scale the core platform for their seed-stage PropTech startup, which allows UK renters to build credit history and wealth through monthly payments. As the third engineer, you'll own features end-to-end and influence architectural decisions.

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.

Microsoft★4.2 (9k)· London

Work with Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, Microsoft Fabric (Lakehouse, Data Factory, Spark, Power BI, Real-Time Intelligence), and Copilot to help organisations modernise their data estates and ground AI on their data. As a Solution Engineer, you lead strategic customer engagements, design architectures, and mentor peers within Microsoft’s Data & AI team.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

Fortinet★3.7 (188)· London

Work with Python, Microsoft SQL, Mongo, Postgres, and Tableau to maintain data pipelines, ETL processes, and REST API integrations. Support Sales Operations by managing databases that serve as the foundation for AI and LLM-powered tools across the organization.

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.

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.

Fintricity★1.0 (1)· London

You will work with Python, TypeScript, LLMs, agent frameworks, RAG systems, vector databases, LangGraph, LangChain, and cloud services. The role builds enterprise-grade AI infrastructure for agentic systems, including AI gateways, model orchestration, and agent control planes at Fintricity and Kendra Labs.

Flagstone Investment Management★2.0 (4)· London

A Staff Engineer will work with React, React Native, TypeScript, and Azure, focusing on front-end and mobile technical strategy, architecture, and delivery. They lead cross-team initiatives and coach engineers across a tribe of 3–5 squads at Flagstone, an online savings platform. The role involves owning a shared design system and driving front-end engineering practices.

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.