Top Machine Learning Jobs in London

Lead the design and deployment of recommendation systems, mentor team members, collaborate across functions, and innovate using emerging ML techniques.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

As a Lead Machine Learning Engineer, you will guide complex AI projects, oversee technical direction, mentor engineers, and drive innovation across 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.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

Lead design, development, and deployment of scalable ML models and pipelines (including LLMs) across the platform. Own full ML lifecycle, influence technical direction, communicate results to stakeholders, and mentor junior engineers.

Lead design and delivery of production ML solutions across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Partner with product and engineering to build classifiers, regressors, ranking/retrieval systems and rule-based components, implement reliable pipelines, improve reproducibility/testing/observability, and communicate model behavior and trade-offs to stakeholders while shaping team standards and responsible ML practices.

Join Depop as a Senior Machine Learning Engineer to design and implement ML pipelines for recommendations, collaborating with teams to enhance product personalization.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

As a Senior Machine Learning Scientist, you'll improve customer outcomes through automated decisioning using ML and statistical modeling, focusing on credit risk modeling and collaborating with cross-functional teams.

As a Machine Learning Engineer, you will design and build LLM-powered systems, optimize ML pipelines, and monitor model performance while collaborating with stakeholders to drive technical initiatives.

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

The Machine Learning Engineer will develop AI-driven features, deploy scalable systems, and enhance reliability while collaborating with teams to integrate AI solutions.

As a Software Engineer, you'll lead AI implementation projects for the UK public sector, designing innovative solutions and engaging directly with customers to address complex challenges.

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.

The Senior Machine Learning Engineer will enhance ML model performance in NLP, deploy models, collaborate with teams, and lead design proposals.

The Staff Software Engineer - AI/ML will lead the development of AI models and solutions, drive cross-team collaboration, provide technical leadership, and mentor engineers. Responsibilities include managing AI/ML initiatives, enhancing model performance, ensuring compliance, and fostering a collaborative culture.

Lead the development of AI/ML solutions, ensuring best practices for model deployment and mentoring engineers, while collaborating cross-functionally.

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.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

Build and operate backend ML platform services for context retrieval, compression, and evaluation to power AI assistants. Own architecture, implementation, observability, and reliability while enabling other teams to integrate reusable APIs and tooling.

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

As a Machine Learning Engineer, you'll design and implement ML and GenAI solutions, deploy algorithms, maintain data science products, and contribute to a collaborative team culture.