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

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.

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.

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, 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.

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.

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.

Design, build, and deploy quantitative models using Python, R, and libraries (numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot) plus NLP tools, SQL, AWS, Sagemaker, DataBricks, Snowflake, MLFlow, and Weights & Biases. The team creates systematic country risk analytics and ML/NLP pipelines for BMI’s market insights, supporting clients in risk assessment.

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.

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 Python, PyTorch, diffusion models and flow matching. Join an interdisciplinary team deploying, adapting and optimising generative models for real-world scientific and industrial applications at an AI research company developing models for scientific discovery.

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.

Tripadvisor★3.9 (142)· London

You will work with Python and PyTorch/TensorFlow, leading the ML strategy for Search, Ranking, and Content AI. As a technical lead and pod architect on the Tripadvisor Experiences R&D team, you will evolve the core discovery engine for their travel experiences marketplace and formally mentor mid-level and associate ML scientists.

On Ag★2.9 (7)· London

Work with Python, PyTorch, JAX, TensorFlow, GCP/AWS, Kafka, and MLOps to build real-time personalization and recommendation engines. Lead data science initiatives that design, train, and deploy customer-level algorithms for On’s global D2C/e-commerce platform.

Fitch Solutions★3.0 (2)· London

As a Data Scientist at BMI (a Fitch Solutions business), you will design, build, and deploy quantitative models using Python and R (e.g., numpy, pandas, scikit, pytorch) to power advanced analytics. You will develop and maintain ML/NLP and data pipelines, working with Economists and Analysts to build risk models and generate insights from structured and unstructured data.

You will work with Python, PyTorch, JAX, TensorFlow, GCP/AWS, Kafka, and end-to-end MLOps to build and deploy batch and real-time machine learning models. As a Principal Data Scientist at On, you set the strategic direction for personalization and customer algorithms that directly impact the global D2C customer experience across web, app, and messaging.

Design and build production-grade ML systems using MCP servers, recommendation systems, RAG pipelines, LLMs, and foundation models with Python, TensorFlow, PyTorch, FastAPI, and LangChain. You will own the end-to-end AI lifecycle for a sales data platform, deploying models into batch/real-time environments to drive forecasting, segmentation, and early warning systems. This role focuses on embedding context-aware intelligence into decision-making tools for business stakeholders.

Work with PyTorch or JAX and Python, building tools for data generation, training, evaluation, and deployment on GPU clusters. As an Applied Scientist on Mistral AI's research team, you'll drive pre

You’ll work with Python, pandas, scikit-learn, PyTorch, Hugging Face, and LLMs (fine-tuning, prompt engineering). The company builds an AI operating system for industries with fragmented legacy data, producing applied ML models for forecasting, optimisation, and recommendation.

DNEG★3.1 (36)· London

Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures using Python, PostgreSQL, and Redis. You will integrate generative AI models (ATMAN, VAANI) into production backends for a company operating at the intersection of enterprise Media Asset Management and generative media.

Tripadvisor★3.9 (142)· London

You will lead ML strategy and execution for the core discovery engine powering search, retrieval, ranking, and recommendation systems, working with Python, TensorFlow, PyTorch, Spark, Ray, and AWS/GCP. You will mentor a high-performing team of scientists and bridge AI research with production-grade engineering for multi-task ranking, sequential user modeling, and graph-based travel recommendations.

AXIS Capital★5.0 (1)· London

You will work with Python, Azure AI services (Azure OpenAI, Azure AI Search), Git, LangChain, Semantic Kernel, and MLOps tools for model versioning, deployment, and monitoring. As deputy to the Head of Data Science & AI Delivery, you lead the day-to-day execution of AI delivery across strategic projects and use cases for AXIS Capital, a specialty insurance and reinsurance provider. You directly manage and contribute hands-on to technical design, code reviews, and solution delivery for a growing team of Data Scientists and AI Engineers.