Top Machine Learning Jobs in London

As a Machine Learning Engineer, you'll build and deploy ML solutions, collaborate with teams, define best practices, and ensure project feasibility for clients.

As a Machine Learning Engineer II, you will develop ML models and systems for sports applications, collaborating with Data Scientists and Engineers to enhance user experiences.

Lead the sourcing strategy for specialized AI talent at Symbolica, focusing on building talent pipelines and utilizing advanced sourcing techniques in a fast-paced environment.

As a Graduate Machine Learning Researcher, you will design, test, and implement machine learning models to enhance predictive analytics for sports betting. The role demands creativity and a solid understanding of Machine Learning principles and core statistics, working closely with a quantitative modeling team.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Machine Learning Engineer, you'll develop ML and GenAI solutions, deploy algorithms, monitor performance, and foster a collaborative data culture while identifying opportunities for impact.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The ML Compression Engineer will optimize driving models for efficient performance on low-cost edge devices using techniques like distillation and quantisation.

The Staff ML Compression Engineer focuses on optimizing the Driving Model for efficiency in consumer-grade GPUs and low-power devices by implementing advanced ML compression methods. Responsibilities include developing techniques like distillation and quantization, understanding their impact on driving behavior, and collaborating with model developers.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

The role involves developing and optimizing AI models, conducting research, and innovating new features for generative AI tools, enhancing creative user experiences.

Research and develop machine learning models for cybersecurity applications, integrating outcomes into products and collaborating with engineers.

Design and implement infrastructure for ML/deep learning models, ensuring scalability, reproducibility, and performance across the drug discovery lifecycle.

The Machine Learning Engineer will develop ML and NLP features for regulatory compliance products, focusing on cloud engineering, best practices, and continuous improvement.

As a Software Engineer, you'll lead AI implementation projects for the UK public sector, designing innovative solutions and engaging directly with customers to address complex challenges.

Interns will build ML systems, optimize training pipelines, and collaborate with teams in quantitative finance, focusing on GPU programming and deep learning techniques.

Design, develop, and deploy AI and ML solutions. Collaborate on model experimentation and prototype development, ensuring operational excellence across data pipelines and APIs.

The Senior Machine Learning Engineer will develop ML pipelines, collaborate with scientists for production, and enhance ML infrastructure at Depop.

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

The Senior AI/ML Technology Advisor will provide expert guidance on AI technologies, lead research projects, evaluate AI systems, and communicate findings to diverse stakeholders, ensuring alignment with online safety objectives.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

Lead software architecture, development, and team management for web applications and ML systems. Collaborate cross-functionally to drive innovation.

The role involves engaging clients with technical expertise in Data Science, architecting AI solutions, conducting workshops, mentoring, and building relationships across the EMEA region.

As a Senior Machine Learning Engineer, you'll develop and maintain APIs and pipelines for AI evaluation, ensuring reliability and scalability for product teams.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.