Top Machine Learning Jobs in London

The role requires developing ML and quantitative systems using financial time series data, deploying models, and improving signal evaluation for investors.

The Senior AI/ML Developer will deliver AI features, integrate ML models, and oversee the full project lifecycle from concept through production deployment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Machine Learning Engineer at AION, you'll design and implement LLMOps pipelines, optimize models, manage experiments, and collaborate on ML deployments. Your role will focus on refining LLMs through effective fine-tuning and evaluation strategies while ensuring production readiness and operational efficiency.

As a Forward Deployed ML Engineer at AION, you'll design and develop multimodal AI systems, optimize models, and engage with clients to deliver intelligent agent solutions across various applications.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The role involves creating and deploying machine learning models for game development, focusing on computer vision and natural language processing, and improving tools for developers.

As a Graduate Machine Learning Researcher, you will design, test, and implement machine learning models to enhance predictive analytics for sports betting. The role demands creativity and a solid understanding of Machine Learning principles and core statistics, working closely with a quantitative modeling team.

As a Machine Learning Engineer, you'll develop ML and GenAI solutions, deploy algorithms, monitor performance, and foster a collaborative data culture while identifying opportunities for impact.

As Product Manager, lead AI/ML strategies for Accelerant's Risk Exchange platform, collaborating with teams to develop tools for risk management and decision-making.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The Senior Machine Learning Engineer will develop production-ready trading models, design tooling and frameworks, and optimize performance using Python and modern ML libraries.

Join a team to develop and evaluate large-scale machine learning models for drug discovery, collaborating with scientists and engineers.

As a Machine Learning Engineer, you will develop and implement ML algorithms and GenAI solutions, productionize algorithms, and foster a collaborative data science culture while identifying impactful opportunities across products.

As a Senior Machine Learning Engineer, you'll develop and maintain APIs and pipelines for AI evaluation, ensuring reliability and scalability for product teams.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

The Senior Machine Learning Engineer will enhance the RAG platform by delivering AI solutions, collaborating with teams on product features, mentoring, and maintaining system stability.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

The role involves developing and optimizing AI models, conducting research, and innovating new features for generative AI tools, enhancing creative user experiences.

Interns will build ML systems, optimize training pipelines, and collaborate with teams in quantitative finance, focusing on GPU programming and deep learning techniques.

As a Lead Machine Learning Engineer, you will enhance AI models predicting actions for salespeople using advanced machine learning techniques, oversee model architecture, and collaborate closely with the CTO on product strategies.

The Senior Backend Engineer will design and implement ML-powered features, managing data pipelines, APIs, and distributed systems for SoundCloud's Recommendations team, while ensuring reliability and scalability.