Top Machine Learning Jobs in London

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.

As a Machine Learning Engineer, you will integrate statistical and machine learning models into production applications, write production quality code, utilize MLOps platform, create automatic tests, collaborate with stakeholders, and ensure models are well integrated in the business context.

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.

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 an Applied AI / ML Senior Associate Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will be involved in cutting-edge AI techniques, optimizing business decisions, automating processes, and advancing AI applications in financial services through NLP, Computer Vision, and statistical machine learning. Responsibilities include building Data Science capabilities, deploying ML services, researching and analyzing data, and collaborating with technical teams. Required qualifications include hands-on ML engineering experience, a PhD in a quantitative discipline, expertise in MLOps tooling, NLP or Computer Vision specialization, and proficiency in Python, PyTorch, Numpy, Pandas, and deep learning architectures.

Involved in applying sophisticated machine learning methods like natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborating with various teams to deploy solutions into production and driving firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.

Lead the execution of AI solutions in Securities Services Operations, construct robust and scalable AI functionalities, work with software engineering teams, collaborate with business domain experts, refine machine learning models, stay updated with AI trends, offer technical mentorship, and disseminate best practices.

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.