Top AI Jobs in Manchester

The role involves providing technical leadership for AI and automation, designing scalable solutions, and ensuring project delivery aligns with business goals and enterprise standards.

The Customer Solutions Director leads operational delivery and talent management for the EMEA team, overseeing quantum optimization projects and ensuring customer success through strategic guidance and team leadership.

The Enterprise Account Executive at PolyAI will develop customer relationships, drive sales in customer service solutions, and exceed revenue goals while working with key executives in hospitality and finance sectors.

The Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

Lead delivery of AI-powered insights for clients, manage relationships, and drive commercial growth while innovating technical workflows.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

As a Senior Software Engineer, you will lead AI-enabled engineering initiatives, designing multi-agent systems and integrating AI in software development processes.

The role requires creating insights for finance leaders focused on AI integration in finance processes, conducting research, and advising on AI strategies. It involves engaging with clients, presenting insights, and mentoring junior team members.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

Manage the entire sales process for NiCE AI solutions, drive sales opportunities, develop relationships with executives, and contribute to pipeline generation activities.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead the design and deployment of scalable AI technologies, mentor a team, collaborate with stakeholders on use cases, ensure ethical practices and compliance.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The AI Compliance Specialist will manage compliance tasks for laws applicable to AI and e-commerce, focusing on contracts, data protection, and regulatory analysis while collaborating with the Ethics and Compliance Officer.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.