Top Machine Learning Jobs in London

As a Quantitative Developer/Research Engineer at Citadel Securities, you will design, develop, test, and deploy software for automated trading systems in collaboration with Quantitative Researchers, utilizing advanced statistical techniques and technologies.

As a Consultant at Celonis, you will work on agile project teams to enhance customer processes using Process Mining technology. Your responsibilities include data transformation, developing analyses, implementing AI and Machine Learning features, and guiding customers in process automation and insights to solve inefficiencies.

The Senior Associate Machine Learning Engineer will leverage AI and machine learning techniques to optimize business decisions in financial services, collaborating with software engineering teams to build scalable solutions, automate processes, and communicate AI capabilities effectively to stakeholders.

The Sr Lead Architect at JPMorgan Chase will enhance and deliver cloud-based technologies, focusing on data management and architectural governance. This role involves guiding technology practices, developing high-quality production code, and influencing product design and functionality. Collaborating with teams to optimize technology performance and advocating for modern architectural solutions are key responsibilities.

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 Lead Data Science Engineer, you will research and implement data science applications, create machine learning models, work on MLOps pipeline development, and ensure the reliability of data systems. You will collaborate with various teams to deliver advanced analytics tools and coach junior data scientists.

The Solutions Architect will help clients solve complex problems by designing exceptional customer experiences and integrating new technology into existing organizations. Responsibilities include executing dev-ops strategies, launching API offerings, and creating machine learning services in cloud environments.

The Sales Engineer at InterSystems collaborates with Account Representatives, System Integrators, and Project Managers to cultivate client relationships, deliver training, and support pre-sale efforts. Responsibilities include architecting technical solutions, designing Proofs of Concept, enhancing product offerings, and keeping up-to-date with industry trends.

As a Next Generation Technology Fellow, you will engage in diverse challenges within financial services consulting. Responsibilities include conducting research, performing business analysis, determining requirements with clients, developing coded solutions, and strategizing technology implementations. You will work on innovative projects involving technologies like blockchain and machine learning to help clients navigate industry transformations.

The Data Analytics Lead will drive strategy and growth for Capco's Data Practice, managing client relationships, identifying business opportunities, and ensuring high standards in project delivery. The role requires collaboration with a diverse team to develop innovative data solutions for financial services clients.

The Data Analytics Principal Consultant will support and drive the growth of the Data practice by initiating and implementing advanced data and analytics programs for top-tier financial clients. This role involves mentoring teams, enhancing client relationships, and developing data capabilities within the UK Data Practice.

As a Senior AI Software Engineer at Contentful, you'll develop scalable AI integrations and APIs, support feature teams, and enhance the AI platform capabilities. You'll collaborate with various teams to implement AI technologies, optimize processes, and ensure proper governance for AI systems, driving efficiency and innovation within the organization.

The NLP / LLM Scientist will apply advanced machine learning techniques to tasks involving natural language processing, speech analytics, and recommendation systems. Responsibilities include researching new methods, developing models, collaborating with cross-functional teams, and deploying solutions into production.

As a Lead Software Engineer at JPMorgan Chase, you will develop secure production code, enhance operational stability, and lead evaluation sessions for architectural designs. The role requires advanced programming skills, cloud-native experience, and a focus on diversity and collaboration.

As a Sr Lead Architect at JPMorgan Chase, you will provide architectural excellence in developing cloud-based technologies, focusing on data governance, system design, and application development. You will lead evaluation processes for technologies, deliver high-quality production code, and guide technical teams in achieving best practices in software development while influencing project decisions.

As a Senior Principal Architect at JPMorgan Chase, you'll guide the architecture and strategy within the Market Risk team, developing scalable solutions and enhancing architecture platforms using modern technologies. You'll lead teams, create roadmaps, and advise on technical issues while promoting quality software practices.

As a Data Scientist Lead at JPMorgan Chase, you'll use AI and analytics to innovate investment banking strategies, focusing on Recommender Systems, Time Series Forecasting, and Classification Systems. You will develop machine learning systems, derive actionable insights from data, and present findings to stakeholders effectively.