Work with AI/ML systems, prompt engineering, multimodal models, retrieval systems, agent systems, computer vision, and backend services using Go, Python, or C. You will join a small R&D team building a cloud platform that transforms audio and video data into actionable intelligence for commercial clients.

You will work with SQL, Python, DBT, Fivetran, Airflow, Snowflake, Git, and cloud platforms (AWS, Azure, or GCP). The role designs, builds, and maintains scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making. No team size is stated.

You will architect low-latency inference pipelines for multimodal LLMs, TTS, and Vision models using C/C++, Python, PyTorch or JAX, and optimize them with custom CUDA/Triton kernels, TensorRT, and ONNX. The team at this seed-stage AI-native game studio builds intelligent virtual actors that speak, move, and react in real-time for interactive entertainment.

Work with React, TypeScript, and REST API integration to build analyst-facing interfaces on a next-generation Defence Intelligence platform. The role supports a major AI-enabled Defence programme, improving operational decision-making for mission-critical users.

You'll work with TypeScript, Node.js, Go, AWS, PostgreSQL, and event-driven architecture, building AI infrastructure including vector stores and LLM orchestration. Fanvue is a Series A AI-powered creator platform connecting millions of fans with creators. This role leads the platform's monolith-to-services decomposition and AI infrastructure evolution.

Work with Python, AWS, and Kubernetes to build and maintain custom integrations, API fixes, and SDKs for a voice AI startup. You will support the Forward Deployed Engineering team, managing one-off integrations, platform fixes, and custom builds for enterprise clients deploying large-scale voice infrastructure.

Build features across a Svelte/TypeScript front end and Python back end using FastAPI, Django, PostgreSQL, and AWS. Tab is a YC-backed London travel fintech processing thousands of real-time payments per hour for over 100,000 global tourism businesses in 100+ currencies.

You will work with Python, post-training language models (RL, distillation), and build data pipelines and inference infrastructure. The company is building a Societal World Model to simulate human opinion and influence, enabling Fortune 500 organizations to test strategies against simulated populations.

Use Python (FastAPI/Django) and Svelte with TypeScript to build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Work on AWS cloud infrastructure and real-time transaction processing as part of a profitable, lean team of nine.

Build a comprehensive platform for 1,500+ charities using TypeScript, React, and Node.js. You will architect features like grant management, AI impact reporting, and safeguarding tools, and build migration tools for charities. Work in a high-autonomy team of 15.

Work with Python or Node on backend distributed systems and serverless architectures on AWS, with a smart contract language such as Solidity. The company builds services to accept card payments and grow businesses globally. No team scope is specified.

Senior Machine Learning Engineer working with C++, CUDA, Python, and PyTorch. The role is within an AI technology company developing next-generation machine learning solutions for complex real-world applications.

Build customer-facing web applications with React, Next.js, Node.js, TypeScript, and Postgres. You will work on transactional flows involving payments for SwapTix, a ticket exchange platform.

Big Potato· London

You will own and evolve a Flutter companion app and confidently handle backend work on Node/TypeScript MongoDB systems. Additionally, you will maintain the gaming web platform and its integrations. The role works closely with a Senior Game Developer on the platforms behind Big Potato's games.

You will work with Python, Machine Learning, Go, and Terraform on a large strategic consulting engagement. The current team of 4 software developers is expanding with 2 new hires.

You will engineer robust, low-latency, high-throughput systems using C++ and Python to directly drive trading performance. This role focuses on clean code, optimization, and software architecture's impact on real-world execution.

You will work with Python and SQL to design, build, and maintain data-driven applications. The role focuses on data engineering and integrating with a modern data lake platform.

You will use Python, SQL, and Databricks to design and build enterprise data platforms, developing ETL/ELT pipelines and data integration solutions within a lakehouse architecture.

Work with Python and Django to develop and enhance web applications, supporting system integrations and delivering technology solutions for strategic business objectives as part of a collaborative digital team.

You will work with Astro, Sanity, GROQ, Portable Text, TypeScript, HTML, CSS, Tailwind CSS v4, Figma, SSR, serverless/edge runtimes, SQL, and CI. You will co-own the component library, content model, and rendering stack for synthesia.io, the marketing website of the world’s leading AI video platform.

Principal Engineer role working with Python, AWS, and Kubernetes on an AI-powered FinTech platform that transforms data infrastructure and workflow automation for global financial markets. This first Principal hire will create technical solutions across teams and report to the VP of Engineering.

You will work with Python, AWS, Terraform, SLSA, in-toto, Sigstore, and SBOMs to design and build greenfield provenance systems that capture, validate, store, and expose software build traceability. The team creates next-generation supply chain trust infrastructure, giving organisations verifiable traceability from source code through every downstream environment.

WTW★3.6 (1.7k)· London

This role shapes WTW’s enterprise-wide AI engineering capability, defining technical direction for production-grade generative AI and agentic systems. You will work with Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, LLM/agent frameworks, and Model Context Protocol while building RAG pipelines, LLMOps practices, and governed integration patterns.

JPMorgan★3.9 (20k)· London

Principal Data Engineer at JPMorganChase, working with SQL, Python, Spark, cloud platforms, Databricks, Apache Iceberg, and distributed frameworks like Hadoop and Kafka. The role designs and builds scalable data warehouse solutions, data pipelines, and ETL processes for the firm’s portfolios. Mentors junior engineers and partners with architects on delivery roadmaps.

Wise★3.5 (42)· London

Work with Python, big data tools like Hadoop or Spark, and cloud platforms such as AWS, GCP, or Azure, collaborating with engineers on the Treasury team. Build and refine models to forecast and manage liquidity, balancing sufficiency and risk for Wise’s multi-region money movement products.