Top Tech Jobs & Startup Jobs in London

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.

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 Product Security Engineer at JPMorgan Chase, you will deliver cutting-edge solutions in cloud-native microservices architecture applications. You will be involved in design, architecture, and the entire SDLC lifecycle stages. The role focuses on security culture, product knowledge, and collaborative problem-solving in a diverse and innovative environment.

As a Product Manager at JPMorgan Chase within the Payments technology team, you will be responsible for being the voice of customers, shaping product vision, gathering product requirements, and working closely with the engineering team to ensure quality software deliveries. You will also define operating models, procedures, and manage payment schemes and technology partnerships.

As a Product Security Lead, you will work proactively with technology and business colleagues to identify and quantify security issues within the business and empower them to make risk decisions. You will be a security expert with a mix of technical and communication skills, passionate about enabling safe and secure innovation.

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.

As a Product lead at JPMorgan Chase, you will define servicing strategies, lead multi-channel customer journeys, support digital servicing capabilities, define servicing KPIs, and build experiences that turn customers into fans. You will need experience in product design, customer experiences, team management, and servicing systems.