Top Machine Learning Jobs in London

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Machine Learning Engineer, you'll own ML systems, design scalable pipelines, ship LLM features, and guide ML adoption. You will mentor engineers and ensure system reliability and observability while engaging in high-impact work.

As a Staff Machine Learning Engineer, you will architect ML systems, mentor engineers, set technical direction, and drive ML workflows at scale.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

As a Customer Experience Specialist, you'll deliver outstanding customer interaction through multiple channels, assist in debt resolution, negotiate repayment plans, and ensure compliance with laws and regulations.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

Lead a team to design and develop scalable machine learning systems for drug discovery, mentoring engineers and ensuring software excellence.

The role involves optimizing ML model performance, focusing on efficient training, low-latency inference, and understanding low-level GPU and networking technologies.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

Design and build new machine learning models for sports tracking, collaborate with teams, maintain systems, and develop CI/CD pipelines.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Lead development of machine learning models, enhance user feedback analysis, drive technical direction, and optimize evaluation systems for autonomous vehicles.

Develop and integrate machine learning solutions for fraud prevention in transactions, analyze data using SQL and Python, and manage the complete lifecycle of ML solutions.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

As a Staff Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and implement APIs and UI designs.

The Senior Machine Learning Engineer will design and productionize ML models for customer support and compensation at Deliveroo, enhancing customer experience and trust. Responsibilities include model ownership, evaluation framework development, and collaboration across teams.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

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

As a Senior Machine Learning Scientist at Depop, you'll design and deliver ML solutions for search and ranking, conduct experiments, and collaborate with product and engineering teams.