Top AI Jobs in Manchester

Embed with client teams to design, deploy, and scale production AI platforms end-to-end. Deliver measurable business outcomes via rapid prototyping, productionization, governance, and stakeholder alignment while building reusable playbooks and patterns.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, LLM provider integration, LLMOps (eval harnesses, prompt versioning, observability), cloud-native deployment, and reusable patterns while embedding with client engineering teams to measure and improve agent accuracy, latency, safety, and cost.

Design, build, and deploy production-grade multi-agent AI systems for enterprise clients. Own RAG pipelines, multi-LLM integration, LLMOps (eval, prompt governance, observability), orchestration frameworks, and lead client engineering engagements and engineering teams.

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

As a Growth Hacker, you will develop Kyra's growth engine, managing both paid and organic marketing channels while leveraging AI to optimize performance and build a robust pipeline of qualified leads.

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.

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.

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.

Lead AI use-case discovery and experimentation across the Credit Cards lifecycle. Prioritise high-impact opportunities, run rapid test-and-learn cycles, translate experiments into deliverable roadmaps, and support scaling of proven AI solutions while building stakeholder confidence and identifying external partners.

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.

Lead a new AI Ops Agents team to design, ship, and scale production-grade automations and multi-agent systems. Own delivery and development of three engineers, build RAG pipelines, maintain AI tooling (Claude/Anthropic ecosystem), prioritize cross-team requests, rapid prototype integrations with enterprise platforms, and upskill engineering teams in practical AI usage.

Design, develop, and productionize AI/ML solutions within the Workday practice. Integrate models into production, implement MLOps (CI/CD, versioning, monitoring), use cloud AI services and container orchestration, build data pipelines, and collaborate with cross-functional teams to ensure scalable, reliable AI-driven features.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Lead design and delivery of production-grade AI/GenAI systems and platform architecture. Ensure model SLAs, governance, compliance, and cross-team technical quality. Mentor engineers, set AI technical roadmap, and influence strategic decisions across the organization.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

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

Senior individual contributor researching how threat actors weaponize AI across the attack lifecycle. Instrument telemetry, analyze global data and OSINT, develop detections, automate research workflows with LLMs and scripting, and publish external threat intelligence to inform protections and operations.

Lead and scale an AI-native engineering organization that orchestrates humans and AI coding agents across multiple fast-moving product ventures. Hire and mentor PMs and engineers, set engineering standards (CI, security, evals), make architecture and build-vs-buy-agent decisions, stay hands-on shipping code and risky spikes, and ensure commercial and product outcomes across the portfolio.

Design polished, user-centric mobile and web interfaces for BJAK's AI and financial products. Create wireframes, flows, prototypes and high-fidelity UI, evolve the design system, collaborate with PMs and engineers, iterate using user feedback and analytics, and ensure accessibility, responsiveness and visual consistency.

Design and build core backend systems for an agent platform: orchestration, durable execution, memory, tool integration, observability, and evaluation. Create scalable services/APIs, develop retrieval and long-term memory solutions, monitor and improve agent behavior, and help drive technical direction and team growth for AI-driven collaboration features.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

Hands-on principal engineer to design, build and operate Go-based, cloud-native distributed systems and high-throughput ingestion/enrichment pipelines for a real-time intelligence platform; establish engineering standards, deliver scalable multi-tenant SaaS, mentor engineers and collaborate with product, ML and threat intelligence teams.