Top Machine Learning Jobs in London

Internship focused on quantitative research, analyzing large datasets, building models, and creating trading strategies with collaboration and education.

As a Machine Learning Researcher, you will develop deep learning models for trading strategies, collaborate with engineers and traders, and explore cutting-edge ML techniques.

Define and execute product strategy for consumer AI tools, leveraging market insights and user needs to drive product development and collaboration across teams.

The Staff Machine Learning Engineer, Simulation will build a research engineering team to advance AV simulations, collaborating with teams to use large models for sim realism, design experiments, and integrate models into applications.

Lead the Train Team to develop and enhance personalised training experiences for runners, managing product strategy, mentoring PMs, and ensuring alignment with business objectives.

The AI Research Scientist will conduct research, develop ML models, lead projects, and explore new data sources to enhance AI techniques.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As an Associate AI/ML Researcher, you will apply advanced AI/ML methods to enhance trading strategies, improve models, and drive predictive analytics in trading systems.

Join a small AI startup solving email problems, requiring deep experience in software, AI/ML, product intuition, and startup culture.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The Director of AI & Innovation will lead AI strategy development, integrating AI in banking products, ensuring ethical AI deployment, and collaborating on innovative projects within Finastra.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

Manage engineering programs for generative machine learning models, ensuring cross-functional alignment, process improvement, and communication flow to enhance project execution.

The Solutions Architect at One Model will conduct platform demonstrations, create use case mockups, develop solution diagrams, record promotional videos, assist with RFPs, and address customer queries to support prospective clients in understanding people analytics.

As a Senior Machine Learning Engineer, you will design and optimize ML pipelines, lead model validation, enhance production readiness, and collaborate with teams on scalable ML applications.

Lead global risk and trading teams, implement quantitative risk models, analyze order flows, detect trading abuse, and enhance risk processes.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

Design and develop AI capabilities to enhance customer experience, executing ML projects and collaborating with teams to translate goals into AI solutions.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

The Machine Learning Engineer III role involves developing ML solutions, mentoring staff, and collaborating on data integration and cloud technology applications.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Head of Operations leads and improves customer service and financial support teams, driving performance through coaching, data analysis, and process enhancements. They ensure compliance and operational efficiency while implementing AI and automation.

The Machine Learning Engineer will design and build ML pipelines, integrate models for simulations, and interact with customers to enhance engineering solutions.

As a Distinguished Engineer, you'll lead security technology initiatives, providing expertise in architectures and driving the technology vision for Equinix's infrastructure. You'll focus on developing next-gen technologies and serve as a mentor within the technical team.