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.

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'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.

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.

Talan★3.2 (66)· London

You will design, build and maintain data pipelines using Python, sourcing and processing public and project-specific datasets. Supporting Talan's energy advisory team, you will deliver quantitative analysis on low-carbon technologies and policies to shape industry and investment decisions.

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.

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.

Quantiphi★3.3 (60)· London

Architect MLOps strategy and implement enterprise-grade ML/LLM pipelines using AWS SageMaker, EKS, Lambda, API Gateway, and CI/CD tools. Design hybrid MLOps/LLMOps workflows with governance, monitoring, and container-orchestrated platforms. Lead cross-functional delivery for an AI-first digital engineering company serving Fortune 1000 clients.

Work with Cisco and Arista platforms, including VxLAN, EVPN, Meraki, and traditional enterprise networking, plus automation and infrastructure as code. You'll engineer enterprise network solutions for NatWest Digital X, ensuring security, resilience, and operational requirements.

The role involves iOS development using Swift, Java, mobile architecture patterns, Test-Driven Development, and automated mobile testing for financial applications. The work is within Persistent Systems, an AI-led digital engineering and enterprise modernization partner. This position includes leading a team and coaching employees, though team size is not specified.

You will work with Java, Apache Kafka, Agile methodology, and full-stack development to build, test, and debug Java-based applications. You will join Genpact, an advanced technology solutions company that uses process intelligence and AI to help global enterprises transform at scale.

Luxoft★4.5 (669)· London

Work with Python, FastAPI, AWS (eventing, queues, serverless), Git, CI/CD, vector databases, RAG, and LLMs (OpenAI, Azure OpenAI, Anthropic). Build an Agentic AI solution to generate investment insights from sales and research materials, reducing client meeting prep time. Also use React (TypeScript) for UI and possibly AgentCore, AWS Neptune, API Gateway.

Use React Native (iOS/Android) with Ruby on Rails, Postgres, and JSON APIs; work with TypeScript, Expo, Jest, and Git. You will build the platform managing end-to-end installation of home energy solutions for BOXT and E.ON Next. As technical anchor, you mentor junior engineers and lead mobile architecture.

You will own the Flutter/Dart companion app end-to-end, building daily games in Flame or Unity and maintaining REST APIs. You will also work across Node/TypeScript + MongoDB backends and the Next.js/React web platform. Big Potato creates easy-to-learn, laughter-first board games played by millions worldwide.

You will work with Large Language Models (LLMs), agentic AI, and cloud-native technologies on the Enterprise Asset Management team, building AI-native enterprise software that solves complex customer challenges. The role involves designing, building, and evolving scalable, secure production systems where AI enhances product capabilities.

You will work with Node.js/TypeScript, Ruby/Rails, Nuxt, AWS CDK, serverless event-driven architecture, and the Salesforce platform. As part of the “In Life” squad, you will maintain back-end services, iterate on Digital Renewals customer journeys, develop quoting tools, and build batch jobs.

Work with C++, Python, kdb, SQL, C# and .NET to develop analytics libraries and pricing models using Monte Carlo Methods and PDE solvers. This Vice President role on Citi’s Cross Asset XVA and Capital Analytics team builds and supports quantitative models for trading and risk-management.