A full-stack engineer at an AI-powered insurance platform, working in TypeScript, Python, and AWS. You will build and debug production code across the stack, integrating APIs and configuring partner insurance offerings. You will be one of the first UK engineering hires, working hands-on with a small team to extend the platform and keep integrations live.

The intern will use Python (Pandas, NumPy), AWS (Kubernetes, Kafka), APIs, Snowflake, Streamlit, Git, Docker, Helm, and CI/CD. They contribute to front office software tools for real-time trading, market data analytics, and visualization, and work with the commercial trading team to optimize pricing models and trading workflows. The role is with Castleton Commodities International, a global energy commodities merchant and infrastructure investor.

Python, SQL, Spark or similar, and cloud platforms (AWS, Azure, GCP) are used. The role is within a Data Practice delivering complex data transformation programmes for public sector clients.

Senior Software Engineer role working with TypeScript, React (NextJS), Node.js, PostgreSQL, and AWS (SQS). You will join an eight-person engineering team building a full-stack platform that automates UK immigration, integrating LLM and AI for document classification and extraction.

You will design and scale high-performance Go microservices on AWS using Fargate, Lambda, and Aurora Postgres at infact.io, a seed-stage fintech building the UK's first real-time, API-first credit bureau. As senior technical lead reporting to the CTO, you own architecture and delivery, mentoring a five-person engineering team while building infrastructure for sub-second credit decisions.

Lead a product-focused squad building the front door of a modern insurance platform using TypeScript across a serverless AWS stack (Lambda, Terraform) with 30-minute CI/CD pipelines. The platform transforms commercial motor insurance pricing via real-time vehicle telemetry and data science. You will own delivery, operational excellence, and technical mentorship for a small team of three engineers.

You will work with Python, AWS, and Kubernetes as a Junior Fullstack Engineer at AethexAI Inc. The company builds voice AI infrastructure for emerging markets in Africa and the Middle East, processing thousands of daily calls with proprietary speech models. You will support the Forward Deployed Engineering team on custom integrations and platform fixes for enterprise clients.

Work with Svelte/TypeScript, Python (FastAPI, Django), PostgreSQL, and AWS. Tab is a YC-backed London travel fintech building a payments platform for 100,000+ global tourism businesses, processing thousands of real-time transactions per hour. You will develop features across the stack and collaborate in a tight-knit engineering team.

You will own back-end infrastructure and data strategy at a seed-stage startup building gas sensors and AI that predict food freshness. You will build scalable GCP pipelines, design APIs with Python and FastAPI, and develop full-stack solutions for a mission-driven team of under 20.

You will work with Python, FastAPI, LLMs, RAG architectures, chain-of-thought prompting, and multi-agent tool use. The Science team builds cognitive architectures to create synthetic populations for behavioral prediction, using LLMs to simulate human responses with 95% accuracy.

You’ll use Python, Docker, Kubernetes, CI/CD tools, cloud platforms (AWS, Azure, GCP), and IaC tools like Terraform or Ansible, with AI frameworks such as PyTorch or TensorFlow. As an Applied AI Engineer at Mistral, you’ll onboard customers and deploy production AI solutions across infrastructure, back-end, and front-end. No team size is stated.

You will work with Python, LangGraph, Strands, CrewAI, and OpenAI/Claude Agent SDKs, plus AWS Bedrock, ECS Fargate, Lambda, and Step Functions to design and evolve multi-agent LLM pipelines. The platform is a production-grade AI-powered brand analytics tool that orchestrates models like GPT, Claude, and Perplexity through a proprietary MCP server.

You'll work with Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/message-driven architectures, building clean, tested code for NatWest Boxed's technology product. As part of a cross-functional mission team, you'll collaborate with stakeholders, support junior engineers, and act as a subject matter expert.

Work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. You'll build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Join a profitable, lean team of nine as one of the first developers.

Backend engineers will build low-latency services and APIs in Rust using Tokio, async frameworks, and proc-macros, with cloud infrastructure on Azure and Kubernetes. The role supports a global financial services firm's trading platform, connecting pricing engines, risk systems, and core infrastructure.

Work with Python, TypeScript, LLMs (Claude, Gemini), agent frameworks, RAG, vector databases, and MCP-based tools. The team builds enterprise-grade AI infrastructure

You'll work with HTML, CSS, JavaScript/TypeScript, React or Vue, Git, Jira, Figma, automated testing, and AI tools like Claude Enterprise, in an agile model. As an AI-forward web developer embedded in SharkNinja's D2C business, you'll fix bugs from the ticket backlog and bridge Design and Engineering to buildable requirements. No team size is stated.

Senior Data Engineer role using SQL, Python, Java, Airflow, dbt, Spark, BigQuery, Snowflake, GCP, AWS, and DOMO. You will design and maintain scalable data pipelines for web analytics, CMS, ad tech, and social media, supporting analytics and reporting across Independent Media’s portfolio of digital news brands.

You will work with SQL, Python, AWS or Azure, Snowflake, Databricks, infrastructure as code, and CI/CD, plus AI tools like RAG, feature stores, and MCP. As a Data Architect on the AI Advisory team, you own data design across client engagements for a CFO advisory firm, defining architecture to support reliable AI, analytics, and reporting.

You'll design scalable AI architectures using Large Language Models, Retrieval Augmented Generation, AI agents, orchestration frameworks, and cloud-native platforms (Azure/AWS). You'll work with engineering, data, product, and security teams to deliver AI and Generative AI solutions for the AA's enterprise capabilities, shaping the adoption of AI across the organisation.

Capgemini★3.7 (11k)· London

Work with graph databases (Neo4j, Amazon Neptune, TigerGraph, ArangoDB), Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Design and implement an enterprise knowledge platform enabling AI agents across Insurance, Payments, and Healthcare domains. Lead platform strategy, enterprise architecture, and cross-functional engineering teams.

The role builds and maintains the automation layer for ElevenLabs' influencer/creator marketing program, covering discovery, onboarding, contracts, content tracking, reporting, invoices, and payment alerts. Tech stack includes Zapier, Make, n8n, Python or JavaScript, APIs, webhooks, SQL, plus integrations with social platforms, CRM, finance, Slack, and e-signature tools.

Python and/or C#/.NET, with experience using LLM APIs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration patterns. This director-level role defines and builds WTW’s enterprise-wide AI engineering capability, creating shared frameworks, reusable patterns, and reference implementations for production-grade generative AI and agentic solutions across the company.

Design, build, and deploy ML models using Python, TensorFlow, PyTorch, Scikit-learn, and LLMs with LangChain, RAG, and vector databases (Pinecone, FAISS). Deploy on AWS, Azure, or GCP, developing REST APIs with FastAPI/Flask. This role is with Aivra Health, a health technology company solving real-world business problems.

Lead AI Engineer at All Your BI: set technical direction and build production-grade AI using Python, LLM APIs (Anthropic, OpenAI, open models), vector databases, orchestration frameworks, evals, observability, and guardrails. The company delivers managed BI services for logistics and industrial clients, integrating AI into products and solutions. The remote team of 60+ data heroes operates with little hierarchy.