Top Machine Learning Jobs in London

Lead product development strategies for subscriber growth initiatives focused on AI/ML, collaborating with technical teams and driving experimentation programs.

The Machine Learning Engineer will design, implement, and validate algorithms for search and personalization, working with the New Verticals business at Deliveroo.

The Senior Machine Learning Engineer will design, implement, and validate algorithms for search and personalization across grocery and retail delivery, leading technical initiatives and mentoring junior members.

As a Senior ML Systems Engineer, you'll build and optimize data platforms and ML infrastructure for large-scale datasets, focusing on performance and reliability in multimodal environments.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Define and execute a greenfield product vision for messaging performance reporting across Email, SMS, and WhatsApp. Build roadmaps that connect reporting, insights, and predictive/ML capabilities; partner with Engineering, UX, and infrastructure teams to deliver scalable analytics, establish success metrics, and drive initiatives from discovery through launch to improve marketers' performance outcomes.

As a Senior Product Manager, you'll lead cross-functional teams to deliver customer strategies, enhance the app experience, and align with product goals at Monzo.

As a Machine Learning Engineer, you'll optimize and scale ML applications in drug discovery, collaborating with a team to enhance model training and deployment.

As a Growth Product Manager, you'll strategize and execute initiatives to maximize user lifetime value through pricing and paywall optimization, collaborating cross-functionally to enhance monetisation performance.

The Enterprise Account Executive will manage the sales cycle, develop account strategies, engage with customers, and contribute to product growth.

The Senior/Staff Product Manager will drive strategy and execution for a marketplace, optimizing partner experience and enhancing scheduling processes through data-driven insights and cross-functional collaboration.

Lead multiple engineering teams, driving architectural decisions and operational excellence while collaborating with cross-functional teams to shape product strategy and execution.

Design, build, and scale production-grade ML systems for restaurant management, focusing on demand forecasting and workforce optimization while ensuring model accuracy and commercial value.

The ML Engineer will enhance the performance of Lumen Enterprise's coding agent using supervised fine-tuning and reinforcement learning, collaborating with a small elite team to implement high-stakes projects.

As the first ML hire, you'll develop MLOps infrastructure, create advanced LLM solutions, and lead data strategy for a MedTech platform.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

Lead the strategy and delivery of AI/ML platform products, driving adoption and integration into R&D workflows, ensuring efficient model training and deployment.

As an Account Executive, you'll drive new business growth, manage sales opportunities, understand client needs, and ensure customer satisfaction within the SaaS sector, focusing on enterprise solutions.

The Lead Machine Learning Engineer will optimize pricing processes, manage ML model lifecycles, and collaborate with cross-functional teams to enhance predictive modeling capabilities.

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

Develop scalable ML systems for driving behaviors, leading RL algorithms, and collaborating on technical projects to enhance Waymo's autonomous technology.

Lead design and implementation of Preply's ML platform: experiment tracking, artifact management, scalable GPU training and inference, CI/CD for ML, observability, drift detection, and LLM/RAG capabilities; mentor engineers and align platform with product and cost goals.

As a Machine Learning Researcher intern, you will collaborate with experienced ML researchers on projects related to systematic trading, applying novel ML techniques and engaging with large datasets.

As a Sr. Solutions Architect, you'll develop customer engagement strategies, coach junior architects, and design complex data solutions using Databricks' Lakehouse platform.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.