Top AI Jobs in Manchester

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Build and scale AI-driven marketing workflows and automations, own and optimize HubSpot CRM, integrate AI agents for content, lead scoring, and outreach, design/document repeatable processes, and deliver data-driven reporting to improve marketing efficiency and pipeline performance.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns and architectures, ensure security/data governance, integrate AI into enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions across the organization.

Design, build, and maintain production-ready full-stack applications combining React frontends with Java/Python backends. Integrate Generative and Agentic AI workflows, implement CI/CD, deploy cloud-native services on Kubernetes (GCP/Azure), manage relational and NoSQL databases, apply automated testing, observability, and troubleshoot production systems while collaborating across DevOps, QA, and Product teams.

Senior Director analyst providing thought leadership and actionable research on infrastructure and operations AI strategy. Produce insights, presentations, and client advisories; guide AI infrastructure, cloud adoption, integration, governance, and vendor selection. Lead research agenda, mentor analysts, collaborate cross-functionally (infrastructure, engineering, enterprise architecture, cybersecurity), support sales, and represent Gartner at events. Drive process improvements and influence senior stakeholders to align infrastructure and operations with business outcomes.

Lead and grow a team of AI Solution Architects to design, govern, and operationalize enterprise-scale AI and conversational solutions. Define AI architecture strategy, standards, and governance; advise customers and executives; support sales and product direction; collaborate cross-functionally to build reusable AI frameworks; and drive responsible AI, observability, reliability, and adoption to deliver measurable business outcomes.

The role involves developing AI/ML applications using Python, implementing REST APIs, collaborating with data scientists, and maintaining software quality through testing and CI/CD processes.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Serve as a strategic legal advisor in AI and privacy, provide governance, develop sales collateral, and oversee compliance for data protection.

Lead AI-driven productivity transformation: identify high-ROI automation opportunities, design and deploy agentic workflows and orchestration systems using APIs and LLMs, scale solutions across teams, reduce manual work, define the AI productivity roadmap, and drive adoption through tooling, playbooks, and enablement.

Lead end-to-end product design for complex, data-intensive workflows across web, desktop, and mobile. Run user research and validation, craft flows, wireframes, prototypes, and polished interfaces. Partner with product and engineering, use data and design judgment to improve outcomes, and contribute to design systems, patterns, and cross-team collaboration. Advocate for AI-enabled UX where applicable.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

Lead the creative development of AI-assisted video content, overseeing multidisciplinary teams, driving innovation, and integrating Generative AI into video production workflows.

The Technical Artist will aid in optimizing an AI-driven creative production pipeline, transforming concepts into high-quality 3D outputs, troubleshooting technical issues, and maintaining asset organization.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

This role involves mentoring apprentices in AI technologies, providing assessments, support in project development, and fostering learner relationships.

Architect and build agentic workflows combining LLMs, reasoning, and data pipelines. Lead ML/NLP product development from training to deployment, drive experimentation, integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability.

Drive adoption, retention, and expansion for strategic Voice AI accounts. Own onboarding through renewal, lead business reviews, monitor health metrics, act as customer advocate, and collaborate cross-functionally to ensure value and identify upsell opportunities.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Design, build, and deploy production AI solutions integrated with business applications and data pipelines on Azure and Microsoft Fabric. Implement agent workflows, RAG pipelines, vector DBs, observability, governance, and responsible AI practices while collaborating with product and engineering teams to drive AI adoption.

The role involves creating original math problems, auditing existing content for accuracy, operating AI tools for content generation, and collaborating with the academic team to deliver pedagogically sound math resources.