Use Python, PyTorch, TensorFlow, scikit-learn, LLMs, NLP, and SQL to build and deploy ML models for trade surveillance. You'll enhance analytics that detect market manipulation by analyzing trader behavior and order execution. Collaborate

You will work with Python, PyTorch, JAX, and TensorFlow to develop optimisation, control, and machine learning methods including reinforcement learning and physics-informed ML. The role is in UCL Computer Science's Multi-Sensory Devices Group, whose research covers wearable sensing, robotics, and biomedical devices.

Waymo★3.0 (61)· London

You will use Python, deep learning frameworks (JAX, TensorFlow/PyTorch), and C++ (preferred) to develop data-selection algorithms and scaling laws for foundation model training. The AI Foundations team builds machine learning solutions for autonomous driving, focusing on reinforcement learning, generative modeling, and robust evaluation to improve the Waymo Driver. You will report to a Senior Staff Software Engineer.

As Multimodal Sensing and Fusion Engineer you will architect the multimodal perception front-end combining electro-optical, long-wave infrared cameras, radar, LiDAR, and inertial sensing using C/C++ or Rust and Python. Helsing builds software and AI that makes existing defence hardware more capable.

UCL★4.2 (299)· London

Work with Python, PyTorch, JAX, TensorFlow, reinforcement learning, physics-informed ML, differentiable programming, and model-based control. The role is in UCL’s Multi-Sensory Devices Group, researching wearable sensing, robotics, and embodied AI. Develop and evaluate novel methods for accurate trajectory control in complex physical systems.

Work with Python, PyTorch (or JAX/TensorFlow), RL fine-tuning frameworks like TRL or verl, and distributed multi-GPU training. The Reinforcement Learning Team advances RL, Bayesian optimisation, AI agents, LLMs, and vision-language models, applying them to AI for science, chemistry, physics, and robotics while publishing at top venues.

You will work with Python, LLM agents, inference/serving, reinforcement learning, multi-agent orchestration, search/retrieval pipelines, and modern AI coding tools. As a DeepMind Research Engineer, you bridge research and scalable systems, collaborating with scientists on machine forecasting to build 0-to-1 infrastructure, optimize LLM architectures and RL pipelines, and engineer evaluation platforms for autonomous reasoning under uncertainty.

King is collecting profiles for future AI/ML, Data Science, and Analytics roles. Work may involve Python, SQL, Spark, PyTorch, TensorFlow, scikit-learn, cloud platforms and ML pipelines, supporting mobile games like Candy Crush Saga played by over 200 million monthly active users.

Work with Nvidia GB200 72NVL CX8 and AMD MIxxx architectures, coding in C, C++, C#, Java, JavaScript, or Python to benchmark, profile, and debug GPU clusters. You will help build foundational models powering Microsoft’s personalized AI assistant, Copilot, spanning training and inference infrastructure, model architecture, and data curation.

Humanoid★0.0· London

Design and train reinforcement learning policies (PPO, SAC, offline RL) in simulation (Isaac Lab, MuJoCo) and deploy on real humanoid robots, using Python and/or C++. The work focuses on dynamic locomotion, loco-manipulation, and sim-to-real transfer for the HMND‑01 Alpha humanoid platform in industrial pilots.

JD.COM★3.8 (53)· London

You will work with Python, Java, or C++; TensorFlow or PyTorch; NLP techniques; and cloud platforms (AWS, Azure, GCP). You will design, develop, and deploy AI agents to enhance JD.com’s e-commerce and logistics platforms, focusing on customer service, supply chain optimization, recommendation systems, and internal operations.

You will work across cloud infrastructure, applications, identity systems, and products, using technologies like AWS, GCP, or Azure with infrastructure-as-code, container security, and cloud identity patterns. Helsing is a defence AI company building high-assurance systems for democratic nations. You will identify, assess, and mitigate security risks across the full technology stack.

You will work with cloud infrastructure (AWS, GCP, or Azure), infrastructure-as-code, and build security tooling and automation. As a Junior Security Engineer at Helsing, a defence AI company, you will join a team identifying and reducing security risks across cloud, applications, identity systems, and products, performing threat modelling, security reviews, and hands-on testing.

DeepMind★5.0 (2)· London

Work with Python, LLM agents, LLM inference/serving, reinforcement learning for LLMs, multi-agent orchestration, and modern AI coding tools. The Research Engineer builds and scales infrastructure, models, and tools for the Strategic Bets team, transforming research hypotheses into experiments focused on autonomous systems for machine forecasting.

DeepMind★5.0 (2)· London

Work with large language models, agentic workflows, inference-time reasoning architectures, common scripting languages, and ML pipelining tools. You will conduct research to build AI systems capable of superhuman probabilistic estimation for high-stakes decision-making, focusing on structured reasoning and multi-agent workflows.

Work with Python, LLM agents, LLM inference/serving, reinforcement learning, multi-agent orchestration, search/retrieval pipelines, simulation environments, and modern AI coding tools (e.g., AGY, Claude Code, Cursor). Design, build, and scale infrastructure for frontier machine-forecasting systems, optimizing LLM agent architectures and RL pipelines to enable autonomous systems that anticipate future events and reason under uncertainty.

You will work with large language models, agentic workflows, and inference-time reasoning architectures, using scripting languages and ML pipelining tools. The team builds AI systems capable of superhuman probabilistic estimation, focusing on forecasting with no clean time series.

Work with Python, PyTorch, scipy, scikit-learn, numpy, pandas, MLflow, Docker, Kubernetes, Ray, and GCP to build and scale distributed compute for research workloads. Phaidra creates AI-powered control systems for the industrial sector using reinforcement learning to enable facilities to learn and improve automatically.

Google★4.3 (6.2k)· London

You'll work with Python, machine learning infrastructure tools, and data optimization platforms within Google Cloud's ML, Systems, & Cloud AI organization. The role focuses on scaling data optimization techniques to improve ML model quality and performance, particularly for Gemini model fine-tuning across product teams like Bard, collaborating with research and product teams to build integrated tools and platforms for data-centric AI development.

DeepL★3.8 (4)· London

You will build and deploy state-of-the-art reinforcement learning pipelines at scale using Python, PyTorch, TensorFlow, or JAX, working with large compute clusters and ML infrastructure. As part of DeepL’s Foundation Model Task Adaptation team, you will post-train large (multi-modal) models to align them with human intent and enable capabilities like reasoning.

UCL★4.2 (299)· London

Develop deep learning and reinforcement learning tools for NMR, using Python and Bruker spectrometers. The Hansen lab

Design complex, original machine learning problems and evaluation tasks using domain expertise in ML methods, model selection, feature engineering, and evaluation metrics. You will create problem statements, evaluation criteria, and gold-standard solutions while assessing AI-generated ML solutions for correctness. The role involves asynchronous collaboration with a global team of researchers and engineers.

The role involves developing deep learning and reinforcement learning tools for nuclear magnetic resonance (NMR) using Python, alongside designing advanced NMR pulse sequences on Bruker spectrometers. You will join the Hansen lab at UCL and the Crick, focusing on AI to transform and analyse complex NMR spectra and develop optimised NMR methods.

You will work with Claude Code, Cursor, Codex and LLMs for prompt engineering, RAG, agents, evaluation and fine-tuning, building full-stack with backend services, APIs, data pipelines and frontend. You will build the client-facing research and sourcing platform for investors and enterprises to find experts, plus internal systems that automate sourcing, screening, matching and managing experts. You will own full slices of product end-to-end from problem definition through deployment.

You’ll build multimodal 3D models fusing dental scans with clinical text using Open3D, trimesh, PyTorch3D, PyTorch Geometric, YOLO, Mask R-CNN, CNNs, transformers, and point/graph networks. The role owns end-to-end research on converting oral scans into staged treatment plans for 01Health’s multi-specialty healthcare platform.