Top Machine Learning Jobs in London

As a Senior Machine Learning Engineer II, you will design and implement AI/ML pipelines for anomaly detection on real-time data streams. Collaborating with team members, you will develop algorithms, evaluate models, and optimize solutions using various machine learning frameworks. The role emphasizes creating scalable systems for handling large datasets and providing actionable insights to customers.

The role involves leading AI strategies, developing scalable ML models, collaborating with diverse teams, and mentoring AI practitioners to drive innovation in Markets Operations.

As a Summer Associate in the Machine Learning Center of Excellence, you will research and develop advanced machine learning models for applications such as natural language processing and speech recognition. You'll collaborate with various teams to deploy solutions and potentially impact JPMorgan's operations significantly.

The Data Quality Lead is responsible for establishing data quality standards and procedures, managing data quality risks, and supporting data governance strategies at JPMorgan Chase. The role involves engaging with stakeholders, defining key data capabilities, and providing insights for data quality improvement.

As an Applied AI / ML Senior Associate Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will combine cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. Responsibilities include building data science capabilities, designing and deploying ML services, analyzing data sets, and communicating AI capabilities to technical and non-technical audiences.

As an Applied AI / ML Lead - Senior Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will lead the development of AI-powered products and services for financial services. Responsibilities include building data science capabilities, designing and deploying ML services, researching and analyzing data sets, and collaborating with cross-functional teams. Required qualifications include hands-on ML engineering experience, a PhD in a quantitative discipline, and expertise in NLP or Computer Vision. Preferred qualifications include experience with MLOps tooling, big data technologies, and microservices.

2025 Machine Learning Center of Excellence Summer Associate - NLP and Time Series Reinforcement Learning role at the Machine Learning Center of Excellence focusing on NLP, Speech Recognition, and Time Series analysis. Responsibilities include collaborating with mentors, conducting independent research, and providing solutions using advanced machine learning techniques.

As a Vice President, Applied Artificial Intelligence & Machine Learning Lead in Markets Operations at J.P. Morgan, you will develop cutting-edge AI solutions, collaborate with cross-functional teams, evaluate model performance, deepen business understanding, mentor team members, and create production-grade code.

The Machine Learning Center of Excellence is seeking an NLP / LLM Scientist - Applied AI ML Lead to apply sophisticated machine learning methods in natural language processing, speech analytics, time series, and recommendation systems. Responsibilities include research, development of ML models, collaboration with partner teams, and driving firm-wide initiatives. Required qualifications include a solid background in NLP, a PhD in a quantitative discipline, extensive experience with ML and DL toolkits, and the ability to design experiments and training frameworks. Preferred qualifications include a strong background in Mathematics and Statistics, experience with search/ranking, Reinforcement Learning, and A/B experimentation.

Apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Collaborate with various lines of business within JP Morgan to develop scalable tools leveraging machine learning and deep learning models for real-world problems in finance, economics, and operations. Lead projects in developing production-level machine learning applications.

As a Data Analytics Principal Consultant, you will lead and drive the growth of the Data practice, developing capabilities in analytics programs for financial services clients, and fostering a collaborative culture while mentoring junior data practitioners.

As a Solutions Architect at Capco, you will be responsible for designing exceptional customer experiences and products. You will integrate new technologies into existing organizations and help solve complex client problems. The role involves working as part of a dynamic team to execute dev-ops strategies, launch API offerings, and develop cloud-based data analytics services.

As a Data Analytics Lead, you will drive the strategy and growth of the Data Practice, developing and delivering analytics, AI, and machine learning projects for financial services. You will oversee a team of data practitioners, identify business development opportunities, and enhance the analytics capability.

The Machine Learning Engineer will design, implement, and maintain machine learning models for code analysis and language processing. Responsibilities include optimizing production-grade pipelines, leading cross-team collaborations, and owning features from ideation to production, while ensuring performance and efficiency of existing ML models.

As a Senior Machine Learning Engineer, you'll lead the development lifecycle of machine learning models, collaborate across teams to understand and solve business problems, and implement groundbreaking AI research in a dynamic startup environment, while mentoring others.

As an ML Applied Scientist at 9fin, you will lead model development, work with cutting-edge technologies to build data-driven products, collaborate with teams, and drive AI adoption throughout the company. You will manage the full model lifecycle and innovate using NLP, recommender systems, and machine learning frameworks.

The role involves leading the design and integration of Generative AI solutions in Firefox, building infrastructure for training and validating models, and optimizing deployed models for efficiency. The engineer will also collaborate with different teams to ensure the contributions effectively enhance the browser's capabilities.