You will work with backend development, databases, APIs, cloud services and production machine learning systems. This is for a growing technology business. No specific project or team size is mentioned.

You will use TensorFlow or PyTorch, Python, and CV/graphics libraries, plus 3D engines like Unreal or Unity, to develop generative models for graphics and video. As part of the Visual Computing Group, you'll design neural networks and ML for PlayStation's game rendering and live

You'll work with PyTorch, TensorFlow, XGBoost, GPUs, CI/CD and containerisation on the Search & Recommendations team, building production-grade ML systems for personalised recommendations, product ranking and AI-driven styling at ASOS, covering the full lifecycle from experimentation to deployment.

Senior Machine Learning Engineer at ASOS, building production ML systems for personalized outfit recommendations and style discovery. You'll work with deep learning frameworks like PyTorch/TensorFlow, distributed GPU infrastructure, and MLOps practices including CI/CD, containerization, and observability. Collaborate with ML Scientists on batch and real-time models serving millions of customers.

Native Kotlin and Jetpack Compose development on a consumer-facing Android app for in-store grocery trips, running on a known device inside live stores. Integrates on-device edge AI (ML Kit, TensorFlow Lite) and uses AI coding tools like Cursor or Claude Code. Reports to the Head of Android.

Machine learning engineers at this tech-centric prop trading firm will work with Python tools and libraries, plus ML frameworks like JAX or TensorFlow, building training and inference infrastructure. The role focuses on enhancing research workflows and designing APIs for the growing ML team, applying techniques such as neural networks, random forests, and ensemble methods.

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

Imperial College London★4.2 (238)· London

Work with PyTorch, GPU kernel programming, Verilog, and NVIDIA's Holoscan Sensor Bridge to integrate FPGA-based AI-ISP accelerators with edge GPU platforms. The project targets low-latency, high-throughput sensor-to-GPU streaming for the "Sense-Decide" pipeline in edge automation.

You will work with Python, PyTorch, TensorFlow, and causal inference tools (DoWhy, EconML, CausalML) to build production AI pipelines, APIs, and microservices. You will design and deploy behavioural, sequential, and causal AI models into Digital Twins, agentic decision engines, and intelligent automation. No team size is specified.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

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.

Lead engineers use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL; Git, MacOS/Linux, and CI/CD; and AI-assistive tools. They lead multi-client software consultancy engagements, building and delivering production agentic systems and ML-powered features. The team is typically one to two clients per year.

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.

Google★4.3 (6.2k)· London

You’ll build machine learning solutions using TensorFlow, DataFlow, Vertex AI, Python, Java, Go, C/C++, and tools like Apache Beam, Hadoop, and Spark. As part of Google Cloud Consulting Professional Services, you’ll advise customers on architecture, data migration, and production ML systems, delivering tailored implementations and workshops.

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, PyTorch, PyTorch Lightning, TensorFlow, and experiment tracking tools to design and implement custom machine learning model components for Search, Retrieval, Ranking, or Content AI. You will join the Tripadvisor Experiences R&D Team, which is evolving the marketplace for travel experiences by powering how millions of users discover and plan itineraries. You will act as a technical lead and pod architect, and mentor mid-level and associate ML scientists.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

Python and SQL for computer‑vision projects using Vision Language Models (VLMs) at a tech start‑up. You will work on a broad range of machine‑vision tasks, blending research, implementation, and support from a team of PhDs and MScs.

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.

The role involves designing and implementing machine learning tools, web applications, and database management platforms, plus developing AI algorithms for ophthalmic image segmentation and analysis. You will work with the AI and Data Science team at Moorfields Eye Hospital’s NIHR Clinical Research Facility, which delivers ophthalmology clinical research and AI-driven diagnostic models for eye diseases.

Design, develop, and evaluate machine learning models using Python, PyTorch, TensorFlow, statistical modelling, deep learning, and multimodal AI for the ASOS AI Demand Forecasting platform. This platform provides demand forecasts to power replenishment, AI-powered pricing, and supply chain optimisation. You will also mentor other scientists and provide technical leadership on complex modelling projects.

Research, develop, and evaluate state-of-the-art deep learning models for volumetric CT data using Python and PyTorch. You will contribute to self-supervised pre-training of large 3D foundation models and specialize models for segmentation, classification, and regression to support clinical-trial and real-world evidence programmes. The role is within the Machine Learning function at Qureight, which builds an AI-powered imaging platform for lung and heart disease.

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.

Build scalable backend services and APIs with Go, Python, or C++, and develop frontend applications using React and TypeScript. You will ship AI-powered product features end-to-end on a platform combining computer vision, multimodal AI, and real-time data. Work closely with AI and platform engineers on new capabilities within a small, experienced team.