Top AI 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 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.

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 AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.

Building a new software engineering team with strong applied AI orientation to create company-wide applications addressing colleagues' everyday problems. Responsibilities include collaborating with cross-functional teams, gathering requirements, designing and building AI-driven products, and staying updated on AI advancements.

As the Lead QA Automation & Test Engineer, you will enhance the QA process by defining test strategies, creating plans, authoring and executing automated tests, mentoring engineers, and collaborating with teams to ensure quality standards. Your role focuses on refining automated testing frameworks and improving release cycles in an AI-powered web application environment.

The Video Marketer will produce engaging marketing videos for AIPRM software while enhancing existing materials. They will monitor AI market trends and maintain quality across all content. Responsibilities include creating videos for platforms like YouTube and TikTok.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.

The AI Technical Architect leads the development and implementation of AI strategies, supports customers with AI infrastructure and solutions, and collaborates with teams on cloud technologies. They design data-driven AI projects, automate processes, provide technical support for AI issues, and deliver client workshops to enhance technology adoption.

The Data and AI Risk Associate will oversee governance processes for AI and Data risks, drive collaborations on ethical research, lead algorithmic reviews, and ensure project management practices. The role involves working extensively with various teams and promoting the FCA’s data strategy and ethical frameworks.

The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, focusing on Large Language Models. Responsibilities include API development, collaboration with teams, continuous system evaluation, and mentoring junior members while staying updated on AI trends.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

This role involves helping to train generative AI models by crafting and answering computer science questions and evaluating AI-generated code. It is a freelance, remote opportunity with flexible hours.

As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.

Lead engagements with customers from presales to implementation of cloud services with a focus on Data & AI. Responsible for solution ownership, customer workshops, requirements documentation, and project estimation. Collaborate with sales teams and Data & AI Delivery Lead to ensure alignment and necessary expertise. Part of the senior leadership team guiding the development of skills within the Data and AI team.