Top AI Jobs in Manchester

The Managing Consultant will deliver Human Factors projects, ensuring effective collaboration, technical leadership, and management of safety improvement programs, while mentoring juniors and supporting business development.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

As the AI & Data Ethics Technical Lead, you will enhance Kainos' AI capabilities, develop demos of Responsible AI techniques, and support data & AI trust in customer projects.

As the Head of Marketplaces, lead and grow the marketplace division, shape strategies, manage teams and ensure client satisfaction for revenue growth.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

Samsara seeks a Staff Software Engineer to lead technical design and architecture on the Fleet Safety team, improving driver safety through software for enterprise fleets. Responsibilities include developing applications, designing systems for event tracking, and addressing production issues.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The HPC & AI Sales Specialist is responsible for driving sales strategy, managing accounts, and leveraging expertise to cultivate client relationships and grow sales pipelines within the high-performance computing and AI sectors.

The AI Assurance Lead ensures AI and machine learning systems are safe, reliable, and compliant with regulations, oversees risk management, and engages stakeholders.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As an AI Engineer, you'll design and develop AI software solutions, collaborate with cross-functional teams, and ensure high-quality code and secure applications.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.