Top AI Jobs in London

As a Full Stack Software Engineer at Contentful, you will lead the integration of AI technologies into content management solutions, designing and maintaining both frontend and backend systems with modern frameworks. Your role will involve collaborating with teams, implementing AI features, and continuously monitoring industry trends to enhance product capabilities.

As a Generative AI Vice President, you will oversee the optimization of LLM-aided AI products, collaborate with cross-functional teams, and ensure the scalability and efficiency of APIs for ML product development.

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.

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.

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.