Top AI Jobs in Manchester

The Senior Specialist, Reconciliation will oversee data integrity, manage automation initiatives, optimize processes, and lead a team to enhance financial reconciliation tasks at BNY.

The A.I Risk Consultant ensures AI technology adoption is safe and compliant, assesses risks, and collaborates with various teams to influence risk management in financial services.

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.

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.

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

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.

Lead the design and implementation of scalable solutions for Customer Experience, focusing on CRM enhancements and aligning IT and business strategies.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

The role involves leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

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.

Manage end-to-end delivery of public safety software implementations from contract signature through go-live and into service. Coordinate internal and external teams, third-party contractors and customer stakeholders, track milestones, budgets and risks, run senior boards, manage escalations and ensure delivery to required quality, time and cost.

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 role involves designing safety policies for audio AI, building automated systems, and ensuring compliance with global regulations. Duties include collaborating with engineering and operations to integrate safety measures effectively.

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.

The Principal Software Engineer will lead engineering teams, own delivery, set technical direction, and promote Agile values while driving automation and AI initiatives.

As a Senior Technical Application Specialist, you'll design and support AI applications, advise on architecture, and ensure deployment follows security and ethical guidelines.

The Continuous Improvement Lead (AI) will support high-quality provision delivery, implement AI Copilot agents, optimize workflows, and lead training efforts across teams.

Lead technical discovery and implementation of AI/LLM-powered agents for enterprise procurement workflows. Design agent architectures, build and tune prompts, create integrations with ERPs/CLMs via middleware/iPaaS, drive deployments, enable customers, and feed product insights.

Own QA practices for an AI-native digital pharmacy platform: design and run automated Playwright tests, validate web applications and APIs, perform manual and exploratory testing, and use AI tools to accelerate test coverage and quality.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.