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.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ) and inference engines (vLLM, TensorRT-LLM). You'll own the model layer for Presential Limited, building privacy-layer AI for tier-1 banks to securely use sensitive data with external models.

Founding Engineer role at a London AI startup building an agentic platform for civil engineering. You’ll work with Python, GCP (Cloud Run, Pub/Sub, Postgres), React, Terraform, and LLM techniques like RAG and MCP, owning backend architecture and AI integration directly with the CTO.

Build product surfaces end-to-end with Next.js, Supabase, Vercel, TypeScript, React, LLM workflows, and Claude Code. Valyu creates a specialized knowledge layer and search infrastructure for AI agents to perform deep research and reasoning.

You’ll work with agentic AI systems, LLMs, model fine-tuning, data processing, and production deployment. Bead AI replaces manual audit checklists with real-time autonomous agents for Fortune 500 enterprise compliance. You are the fourth hire, owning end-to-end workflows and product direction.

You'll work with Python, modern ML tooling, LLMs, and simulations, owning the AI/ML stack including model selection, fine-tuning, and inference infrastructure. Prior Foundry builds specialized AI agents and inference systems to solve complex global policy problems for the public sector in social science and public policy.

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 architect and build scalable backend systems using Node.js, TypeScript, PostgreSQL, and event-driven microservices, integrating LLMs to power Felicity—an AI assistant automating 80–90% of property management workflows. As the most senior backend engineer at LightWork AI, you will mentor engineers and establish engineering standards.

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.

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.

Architect a greenfield financial platform using TypeScript, React, and Node, integrating digital asset infrastructure with traditional banking rails for cross-border payments in emerging markets. Lead zero-to-one development of ledger, custody, and settlement systems. Scope of team or reports is not stated.

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.

Build LLM and ML systems for document ingestion, fraud detection, and coverage decisions to automate insurance claims processing. You will work with production-scale LLMs, NLP, and machine learning systems to ship AI-driven workflows for this Y Combinator-backed London fintech.

Work with Python, LLMs, RAG pipelines, agentic frameworks, and integrations with Google Ads, Meta, and CRMs to build production-grade agentic systems. You will design and deploy AI teammates that automate end-to-end marketing operations—from campaign briefs to paid media analysis—for high-growth brands.

Lead AI Engineer role working hands-on with Python, LLMs, AI agents, RAG, vector databases, and cloud-native distributed systems to design delivery of production AI agents and intelligent workflows. You'll architect scalable AI platforms, mentor engineers, and set engineering standards for a fast-growing AI-native company building enterprise AI products for global industrial organizations within a global software enterprise.

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.

You'll work with Node.js, TypeScript, and AI tools (Cursor/Copilot) to build backend systems for discovery, payments, and seller tools, integrating the FleekSort AI classification engine into a secondhand fashion marketplace handling millions of items.

Fintricity★1.0 (1)· London

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.