Top Machine Learning Jobs in London

The Solution Engineer will collaborate with sales teams to resolve complex customer problems, promote Snowflake's technology, and drive successful implementations while maintaining a deep understanding of data architecture and analytics.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

Develop and implement AI and machine learning models to enhance credit decisioning and affordability assessments, analyzing Open Banking data for insights.

The Forward Deployed Engineer will design and develop AI-driven solutions, integrating them into workflows while ensuring performance and customer satisfaction.

The Analyst will focus on data analysis, utilizing R and machine learning to provide insights for high-profile clients, fostering growth and innovation.

The Lead Data Scientist drives the data science strategy, develops innovative solutions, mentors team members, and supports business development in healthcare consultancy.

Manage CRO relationships for drug discovery projects, implement CRO management systems, monitor project efficiency, and drive contract negotiations with stakeholders.

Lead the design, development, and verification of high-performance autonomy solutions for the defense industry, involving algorithms, system architecture, and mentoring.

As a Software Engineer, you will design solutions, write quality code, collaborate with teams, and ensure efficient data delivery for client applications.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

Manage and grow the Applied AI EMEA solutions architect team, focusing on pre-sales technical excellence, customer adoption strategies, and collaboration across teams.

The Senior Account Executive will lead revenue growth efforts by acquiring new business, nurturing client relationships, and collaborating with teams to ensure customer satisfaction, focusing on revenue management and solution selling.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

As Data Science Manager, you will lead a team of data scientists, shaping models that impact logistics operations and contributing to strategic decisions.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

Lead the delivery of AI-powered agents in life sciences and healthcare, managing enterprise accounts, and advocating for customer needs with a focus on transformative AI solutions.

As a Lead Learning Engineer, you'll develop AI-powered educational solutions using learning science, collaborate with teams, and ensure products improve learning outcomes.

The Senior Machine Learning Engineer will develop ML models for biological data, improve scalability and interpretability, and collaborate with various teams for biomedical applications.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

The Research Engineer will develop and optimize AI-driven video compression models, design training pipelines, and collaborate on research outputs and innovations.

Seeking a Senior Product Engineer to build secure systems for healthcare, integrate AI, and enhance patient care navigation. Responsibilities include delivering high-quality code, managing technical debt, and collaborating with product teams.

The role involves managing the pre-sales process by conducting technical validations, collaborating with sales and customer success teams, and creating necessary documentation while ensuring customer satisfaction and smooth handover.