Top AI Jobs in Manchester

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Lead AI product strategy and execution for EMEA, building and delivering a portfolio of enterprise AI products that drive measurable business value. Engage executives, shape roadmaps, partner with cross-functional teams, ensure governance and regulatory compliance, and mentor stakeholders to accelerate scaled production deployments and adoption.

Lead delivery of complex, enterprise-wide technology and business transformation projects. Manage matrixed project teams and third-party suppliers, oversee procurement and vendor relationships, and line-manage project delivery staff (coaching, objectives, appraisals). Drive innovation through automation and AI, engage senior stakeholders, negotiate and influence decisions, and ensure successful project outcomes across the firm.

Lead the EMEA Identity & Access Management function, overseeing access provisioning, governance, and automating processes. Manage an operations team while ensuring compliance and risk controls.

The Vice President of Business Process Improvement & Best Practices leads initiatives for process improvement using AI and digital tools, involving cross-functional teams and project management strategies to optimize business processes in finance.

The Specialist manages data integrity, automation projects, oversees reconciliation processes, leads team performance, and collaborates with operations and technology teams to drive innovations in finance.

The AI Business Transformation & Design Strategist leads AI-led projects, defining strategies for AI deployment in procurement processes and guiding clients through organizational changes to optimize workflows and efficiency.

Lead operation and maintenance of vulnerability management programs and tooling, refine detection and triage processes, collaborate with engineering on remediation, generate compliance reports, participate in incident investigations, automate security workflows, and improve vulnerability management documentation and processes.

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.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

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.

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

Apprentice Data Scientist working within Engineering: extract, interpret and present data; build Power BI reports; develop machine learning models; collaborate with performance, analysis and engineering teams; communicate insights to global stakeholders while studying part-time for a Level 6 BSc Hons Data Science.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

Manage the Onboarding Risk team across regions, ensuring high-quality risk decisions, developing team members, and owning onboarding risk procedures. Support complex escalations, collaborate cross-functionally, and keep processes compliant with card scheme rules and payments legislation while improving KPIs and decision frameworks.

Senior Azure AI Engineer working in an agile AI squad to design, develop and deploy Azure-based AI solutions — including assistants, copilots, retrieval/RAG systems, cloud-native applications, integrations, security/governance, testing and optimisation — collaborating with analysts, architects and delivery teams to deliver business outcomes.

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

Build and operate ML platform systems that enable teams to train, evaluate, deploy and serve models. Work on backend services, Python libraries, model lifecycle tooling, evaluation workflows and low‑latency serving using Go/Python, Kubernetes and cloud infrastructure, prioritizing reliability, observability, safety and developer experience.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The role involves embedding in various parts of the business to identify and solve AI problems, producing working solutions through short sprints, and evaluating their effectiveness while facilitating adoption.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

As an AI Subject Matter Expert, you will guide the application of AI in core DevOps, partnering with stakeholders to enhance developer productivity and software delivery.