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.

Machine Learning Research Scientist role at a well-funded AI materials discovery startup in London. You will develop novel ML architectures, including GNNs and foundation models, using PyTorch or JAX, plus active learning and Bayesian optimization. Work bridges simulation and real-world physical experiments to accelerate materials discovery for EVs, robotics, and clean energy.

You will own a systematic marketing engine, using advanced mathematics, frontier AI, generative AI, and autonomous agents to optimize paid spend across TikTok, Meta, and Snap. You will design measurement frameworks for incrementality, attribution, and causal inference to drive growth for a London-based music social network with 1 million monthly active users.

Work with Llama, Mistral, quantization techniques like GGUF and AWQ, inference engines like vLLM or TensorRT-LLM, and frameworks like Apple MLX or llama.cpp. As Founding AI Engineer, you own the model layer—fine-tuning, distilling, and deploying small language models (SLMs) for pseudonymisation and text transformation at a pre-seed startup building the privacy layer for enterprise AI used by tier-1 banks.

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.

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.

You will work with data preprocessing techniques, data pipelines, and cloud platforms (AWS, GCP, Azure) along with MLOps practices. This graduate role is for Tech Recruitment UK Ltd, a recruitment firm that places candidates in AI/ML positions. No specific team or product details are listed.

You will use machine learning to support Epic Games' work on award-winning games and engine technology that powers visually stunning interactive experiences.

Work with Machine Learning and Generative AI to solve real-world problems at scale. You will join a technology consultancy delivering cutting-edge AI solutions within the UK National Security sector.

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.

Senior Machine Learning Engineer role working with GPUs, QPUs, and hardware acceleration platforms for ML models. The team focuses on modelling and simulation for an electronics manufacturer.

You will design and deploy data pipelines, ML models, and production systems delivering real-time insights and automation. The work involves strong software engineering fundamentals and hands-on data experience for a leading business expanding its team.

You'll work on maintaining the stability and performance of core data and ML systems, using data science and AI. The role is with a FTSE 100 company that applies AI to improve customer experience, optimise supply chains, and drive sustainable growth.

Work with AWS services and Databricks to build data pipelines for advanced analytics and machine learning models, collaborating closely with a data science team at a data- and analytics-focused London firm.

Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

You will work with Angular and .NET to build and maintain front-office web applications, migrating legacy systems onto modern frameworks as part of a Markets IT team at a global investment bank.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.