Top Machine Learning Jobs in London

Register your interest in AI roles, highlighting your passion and experience in artificial intelligence and how it relates to solving real-world problems.

As a Data Analyst, you will extract value from data, build dashboards, conduct analyses, and support data-driven decision-making at Zeelo.

As a Customer Success Manager, you'll drive customer outcomes, manage renewals, and collaborate with internal teams, ensuring customer satisfaction and success with Hook's platform.

The Product Designer will shape customer experience, collaborate with engineers and product leadership, create prototypes, conduct user research, and uphold brand standards.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

The Associate - Inside Sales will generate leads, qualify prospects, and close deals within the pharmaceutical industry while collaborating with the external sales team.

The Computational Protein Design Scientist will leverage computational tools and AI to design proteins, collaborating with experimental teams and improving data-driven insights in synthetic biology.

As a Customer Success Manager, you will enhance partner engagement with our platform, provide technical support, drive adoption of features, and foster relationships with partners while monitoring performance metrics and advocating for improvements.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

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

The role requires leveraging financial knowledge and analytical skills to develop mathematical models predicting financial market movements, utilizing strong quantitative and computing skills in research.

G-Research seeks a Quantitative Researcher to use machine learning and statistical methods to analyze global financial markets. A Master's or PhD in a quantitative field is preferred, but prior finance experience is not necessary.

The role focuses on using advanced statistical and ML techniques to analyze financial market data and generate predictive insights.

As a Staff Backend Engineer, you will lead architectural decisions, support technical strategies, mentor engineers, and enhance the technical direction of backend systems at Zego.

Lead the ML privacy vertical, developing algorithms to prevent data leakage, conducting evaluations, and collaborating with engineers to deliver applications.

Drive business development and execute sales strategies for AI security solutions in the EMEA market, collaborating with cross-functional teams to identify opportunities and close new customers.

The role involves deploying AI products, managing customer relations, collaborating on complex projects, and ensuring successful product adoption. Requires deep knowledge of machine learning and experience with LLMs.

As an intern, you will work on generative AI projects, optimizing APIs and microservices, and promoting responsible AI practices within the LLM Suite team.

Lead technical discussions and design products using vehicle telematics data, collaborate across teams for seamless customer experience, and oversee full stack feature development.

As a Staff Machine Learning Engineer at Spotify, you'll drive the technical strategy for Search, focusing on ML for recommendations, collaborating with teams, and enhancing user experiences through advanced models and scalable architectures.

Design, build, and maintain data pipelines for property listings. Use AI and machine learning to enhance data processing and manage databases.

Lead the regional partner ecosystem for Feedzai in EMEA, focusing on strategic partnerships with GSIs, OEMs, and payment processors to drive revenue and growth.

As a Sales Recruiter, you will manage full-cycle recruiting for various sales roles, build pipelines for talent, and partner with sales leadership while ensuring exceptional candidate experiences, focusing on AI technology sales.

The Quantitative Researcher will analyze large data sets, develop analytics, extract insights, and contribute to portfolio management and allocation research, requiring strong programming and statistical skills.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.