Top AI Jobs in London

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.

The Senior Software Engineer II will lead and deliver complex backend projects, solving technical challenges and architecting scalable solutions. The role involves mentoring team members, promoting engineering best practices, and may work on AI-powered applications.

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.

Join Contrast Security as an ML Developer to design, develop, and deploy ML models for cybersecurity. Collaborate with teams to integrate and improve models, develop the AI/ML platform, and mentor team members. Stay updated on ML trends and 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.

The Course Development Engineer will create and improve technical courses related to Data and AI, ensuring quality and alignment with learning objectives while collaborating with course review engineers.

The Engineering Innovation AI Lead will lead a team of software engineers to develop and support AI and data applications for investment management, collaborating with cross-functional teams and ensuring high-quality software solutions while maintaining a focus on system security and agile methodologies.