Top Machine Learning Jobs in London

The Summer Associate will apply advanced machine learning techniques to tackle complex financial challenges. Responsibilities include researching and developing machine learning models for NLP, collaboration across teams, and deploying solutions into production while under mentorship.

Lead the design and implementation of machine learning solutions utilizing AI techniques to optimize business decisions and automate processes. Collaborate with various teams to ensure the deployment and maintenance of ML services, while adhering to industry regulations and effectively communicating results to stakeholders.

The NLP / LLM Scientist will research and develop advanced machine learning models for tasks like NLP and recommendation systems. Collaborating across teams, they will implement these models and contribute to large-scale machine learning initiatives, requiring strong expertise in deep learning and a passion for innovative solutions.

As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.

As a Machine Learning Engineer at Snyk, you'll design and maintain machine learning models for code analysis and language processing, develop production-grade pipelines, and optimize existing models. This role emphasizes end-to-end ownership of features, including cross-team collaboration and experimentation management.

As an ML Applied Scientist at 9fin, you will lead the development and deployment of machine learning models, collaborate with cross-functional teams, and push the adoption of AI technologies while driving innovation in data-driven products.

As a Senior Machine Learning Engineer at 9fin, you will lead the model development lifecycle, mentor team members, translate complex problems, and drive AI adoption within the organization while applying advanced machine learning techniques.

As a Data Science Manager, you will lead machine learning model development projects, provide technical leadership, interface with scientific stakeholders to gather required data for research, and mentor data scientists. Your goal will be to enhance the efficiency of data processing in cancer care through advanced machine learning techniques.

The Staff Data Scientist will lead machine learning model development projects, collaborate with cross-functional teams, and interface with internal stakeholders to extract clinically relevant data for cancer research. Responsibilities include managing data scientists, shaping machine learning strategy, and validating models with oncologists to generate scientific insights.

As a Staff Data Architect at PlayStation, you will manage data architecture across various domains, ensure data organization in data lakes and warehouses, maintain modeling standards, document data processes, and collaborate with engineering teams. You will promote and adopt architecture standards while ensuring compliance with data governance policies.

The Data Strategist will develop and implement comprehensive data strategies, focusing on data engineering, governance, and architecture. Responsibilities include integrating AI and machine learning into data platforms, collaborating with clients, facilitating workshops, and ensuring compliance with data privacy regulations. The role also involves leading proof of concepts and aligning technical projects with business objectives.

You will develop and optimize anomaly detection algorithms for real-time data processing, collaborating with engineers to maintain AI/ML pipelines. Responsibilities include training models, performing evaluations, and implementing stream processing solutions using technologies like Flink and Kafka, focusing on large-scale datasets.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Staff Machine Learning Engineer, you will contribute to enhancing AV simulations using foundation models, design experiments, develop realism metrics, and integrate large models into simulations, while collaborating with teams across locations and helping to hire skilled engineers.

As a Software Engineering Graduate, you will participate in a rotational program across various teams including Bot Software, eCommerce, Fulfillment, and Data. You will develop skills in coding and technology, working collaboratively on projects aimed at improving Ocado's services and products. This graduate role emphasizes hands-on learning, personal development, and an opportunity for a long-term career within Ocado.

As a Research Engineer/Scientist at Anthropic, you will develop and enhance large-scale machine learning systems, improve code reliability and efficiency, and run scientific experiments. You will collaborate with a diverse team to ensure the effectiveness of AI systems, focusing on safe and trustworthy technology.

As a Senior Solution Consultant, you'll drive the design, demonstration, and presentation of Five9's AI Solutions, focusing on customer engagement and contact center operations. Responsibilities include collaborating with sales teams, providing pre-sales support, mentoring junior consultants, and delivering customized demonstrations to exceed customer expectations.