Top Machine Learning Jobs in London

Lead a squad of engineers to build core products, drive delivery of features, mentor team members, and foster innovation and collaboration.

The Senior Machine Learning Engineer will work on innovative R&D projects, collaborate across teams, and mentor others while focusing on advanced speech technology.

Lead technical engagements at a large Oil & Gas customer, developing strategies, coaching teams, and delivering tailored data solutions using Databricks.

As a Senior Specialist Solutions Architect, you will guide customers in developing production-grade ML applications, provide technical support, and mentor others while leveraging data science and ML skills.

Research Scientists develop algorithms for embodied AI, design and implement solutions for robotic agents, and work on large-scale training. They collaborate with teams to tackle real-world problems and present findings.

The SVP, Data, Technology & Analytics will lead WPP's data vision for the UK Government, overseeing multiple teams to ensure strategic integration and operational excellence, while fostering client partnerships and innovation.

In this role, you'll manage exposure data for non-natural catastrophe risks, develop predictive models, collaborate with underwriters, and generate analytics reports to enhance risk assessment processes.

The Senior Product Manager will lead initiatives in Network Efficiency, optimize logistics, and deliver impactful solutions by collaborating with various teams.

Lead the product strategy for Jumio's ID Verification solutions, overseeing product lifecycle, team performance, and collaboration with engineering and marketing, ensuring compliance and customer needs are met.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

As the Lead Data Scientist, you will provide technical leadership, oversee project delivery, mentor teams, engage with clients, and contribute to strategic initiatives in retail and consumer AI solutions.

Lead the technical direction and delivery of innovative AI projects, design ML systems, engage with customers, and mentor team members.

The role involves managing strategic enterprise relationships, executing multi-threaded sales cycles, showcasing AI capabilities, and fostering growth across large organizations.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

Responsible for the roadmap of a technical product, collaborating with engineers and stakeholders to develop, launch, and grow products.

The Lead ML Engineer is responsible for deploying ML models, ensuring production readiness, monitoring model performance, and providing technical leadership within the analytics and AI team.

Lead the Machine Learning team, ensuring quality delivery of ML models. Collaborate with stakeholders and foster an experimental culture in AI/ML.

Design, build, and deploy end-to-end ML and generative AI solutions (ranking, recommender, chatbots, agentic systems). Handle data engineering, feature engineering, modeling, evaluation, deployment, monitoring, and cross-functional communication to deliver business impact.

The Machine Learning Engineer III will design and optimize AI systems, utilizing techniques like deep learning and statistical modeling to solve real-world business problems, collaborate globally, and communicate complex data effectively.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

Lead and grow the MLE sub-chapter, own and evolve the MLOps platform, enable scalable production ML, set governance and standards, and partner with Data Science and Platform teams to deploy, monitor, and maintain robust ML systems.

Isomorphic Labs seeks to recruit interested candidates for roles in software engineering, machine learning research, computational chemistry, and project management for future openings.

The Senior Mobile Engineer will develop cross-platform Flutter apps, collaborate across teams, and address real-world technology issues in logistics.