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.

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.

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.

Use Python (strong knowledge), Hadoop, Spark, or similar big data tools, cloud platforms (AWS, GCP, Azure) and data warehousing solutions to design and implement models that forecast and manage liquidity for Wise’s Treasury team, ensuring enough cash is in the right place at the right time while controlling liquidity risk.

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).

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.

You'll use Python, SQL, and production ML models (gradient boosting, neural networks, linear models) to build recommendation, churn, and uplift systems. The CRM tribe personalises customer journeys—onboarding, engagement, retention—by recommending the right product at the right moment. This is an individual-contributor (IC) role with end-to-end ownership of data pipelines and model delivery.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.

You will work with Python and ML frameworks such as PyTorch to conduct research on interpretability, developing techniques to understand, debug, and steer large AI models. Goodfire is a research company advancing the science of how AI systems work, and you will collaborate with a small, mission-driven team of scientists and engineers in London.

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 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.

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.

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.

Big Potato★0.0· London

Own the Flutter companion app for Big Potato's board games, using Dart, Flutter, Node.js, TypeScript, MongoDB, and Next.js/React. You'll build daily games with Flame or Unity, integrate REST APIs, Shopify, payments, and analytics, and use AI tools daily to accelerate coding, refactoring, and testing.