Top AI Jobs in Manchester

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Leads the AI payments business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, and profitability. Identifies customer and commercial opportunities, collaborates with product, engineering, and design teams to launch products, builds partnerships and operations, and drives continuous improvement. The role requires strong product and commercial judgment, cross-functional leadership, hands-on execution, and experience scaling products or business units.

Own and build an AI-native email app business end to end, including P&L, product strategy, team hiring, execution, partnerships, user growth, revenue, and profitability. The role requires identifying customer and commercial opportunities, working cross-functionally with product, engineering, design, operations, and commercial teams, and delivering measurable business outcomes in a fast-paced, hands-on environment.

Executive leader responsible for enterprise data platforms, advanced analytics, AI engineering, and agentic AI strategy. Leads data, analytics, and AI engineering teams; architects modern cloud data and multi-agent systems; drives governance, security, responsible AI, and semantic architecture; and partners with executives and business units to deliver automation, predictive insights, and strategic decision-making capabilities.

Leads complex supply chain software implementations for customers, including requirements discovery, business process design, advanced configuration, testing, troubleshooting, deployment workshops, and user training. Applies optimization models and AI algorithms to supply chain planning scenarios. Provides functional leadership, customer guidance, escalation management, and mentorship to junior consultants. Requires expertise in forecasting, MRP, constraint management, production scheduling, and supply chain platforms.

Designs and develops scalable AI-powered solutions for enterprise data and analytics problems. Translates ambiguous business needs into algorithmic approaches, builds model pipelines and decision systems, integrates AI capabilities into enterprise platforms, evaluates emerging methodologies, and documents solution architectures. Requires strong software development, machine learning, statistical, mathematical, system design, communication, and large-dataset skills.

Own the strategy, roadmap, performance, commercial model, client experience, and operational readiness of PHMG’s Cloud Telephony, AI Receptionist, and CCE products. Lead prioritization, adoption, retention, pricing, partner governance, launch readiness, performance reporting, and continuous improvement across Product, Tech, Client Success, Sales, and Technical Production.

Leads an engineering team developing secure developer tools, hardened GitHub Actions, AI agent capabilities, and microVM-based products. Owns product roadmaps, hiring, team growth, technical design, code reviews, delivery, quality, reliability, and customer feedback loops. Partners with Product to prioritize and ship iteratively in an autonomous, ambiguous environment while remaining technically hands-on.

Owns Infinigate Cloud’s AI Productivity portfolio, driving revenue, profitability, partner activation, pipeline, and adoption of Microsoft 365, Copilot, and Azure AI solutions. Develops go-to-market campaigns, recruits and grows strategic partners, manages Microsoft and partner relationships, and provides UK&I subject-matter expertise. Supports partner enablement, events, webinars, process improvements, and internal coaching while maintaining strong customer satisfaction and commercial performance.

Lead a new AI Engineering function spanning research and production delivery. Define technical strategy, lead engineers, establish production standards, and transition AI prototypes into scalable systems. Oversee personalization, recommendations, search, ranking, agents, and content generation using AWS and TypeScript. Partner with product, data, and engineering leadership while ensuring reliability, observability, performance, and compliance within a regulated real-money gaming environment.

Build and operate production AI systems, including personalization, recommendation, search, ranking, and LLM-powered applications. Convert R&D prototypes into scalable, observable, tested, and maintainable cloud-native services. Develop real-time systems on AWS using TypeScript and Python, implement CI/CD and infrastructure as code, monitor performance, and evaluate models through experimentation. Collaborate with AI researchers, engineers, product managers, data analysts, and Staff Engineers to deliver reliable, low-latency features.

Write addictive 1–3 minute AI-generated micro-drama episodes and complete series arcs for women aged 35–55. Create strong hooks, emotional stakes, cinematic scenes, and cliffhangers using Claude, GPT, and other AI tools. Test formats, analyze performance data, identify plot holes and continuity issues, and provide feedback on final episodes. The role is fully remote and requires native-level English, visual storytelling ability, and strong attention to detail.

Own the backend and agent systems powering LLM products, including multi-turn conversations, tool calling, RAG, state management, evaluations, monitoring, and production reliability. Diagnose failures across models, knowledge systems, tools, and infrastructure; establish regression testing and quality measurement; and guide product and technical decisions. The role requires shipping and improving LLM features at scale, strong backend engineering, disciplined evaluation practices, and preferably Web3 experience.

Develop and optimize secure, scalable AI platforms supporting high-volume business services. Build, deploy, and operate Kubernetes and cloud infrastructure; deploy AI agents and LLM services; implement monitoring, governance, guardrails, evaluation, CI/CD, GitOps, infrastructure automation, and self-service developer capabilities. Collaborate with product, engineering, and leadership stakeholders while managing risk, controls, performance, reliability, and cloud costs.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Leads Gartner’s AI Infrastructure investment research practice, producing market insights, predictions, strategic investment frameworks, and client advice across semiconductors, AI hardware, data centres, and compute. The role requires translating complex technical architectures into commercial and investment insights, presenting to executives and institutional investors, supporting sales and conferences, mentoring analysts, and shaping research agendas.

Build modular, config-driven AI video generation pipelines for mobile gaming advertisements. Integrate fal.ai models and APIs, orchestrate reliable asynchronous jobs, manage retries and resumable execution, track costs, and use FFmpeg for video assembly, subtitles, overlays, audio mixing, and format conversion. Document workflows so marketing teams can operate them without coding, while collaborating with creative specialists and demonstrating a working pipeline.

Lead a zero-to-one AI learning product from market discovery through product-market fit, adoption, and maturity. Engage clients, demonstrate AI capabilities, shape product strategy, enable revenue teams, and represent the product externally. Apply learning theory and customer insights to guide feature priorities, partner with design on UX, and maintain practical expertise in LLMs, agents, multimodal AI, and responsible product decisions.

The Customer Business Analyst supports client delivery by leading discovery workshops, translating business needs into requirements and user stories, designing AI-driven workflows, and analyzing product performance. The role owns test strategies, acceptance criteria, UAT, AI output validation, and continuous improvement. It requires business analysis experience, preferably in insurance, strong stakeholder management, client-facing workshop facilitation, and practical experience with AI tools, prompt engineering, and LLM limitations.

Lead consulting, discovery, advisory, and shaping engagements for Microsoft Business Applications, Power Platform, Copilot, and AI-enabled business processes. Facilitate stakeholder workshops, assess services and processes, define requirements and roadmaps, shape operating models and governance, establish value measures, and guide adoption and organizational change. Collaborate with multidisciplinary teams while advising on responsible AI, privacy, security, regulatory, and human oversight considerations. Contribute to proposals, business development, reusable consulting assets, coaching, and people management.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Design trustworthy, accessible UX for a UK government generative AI platform. Conduct user research, create end-to-end AI workflow designs, prototype and test interfaces, translate responsible AI guardrails into usable patterns, and maintain alignment with the GOV.UK Design System. Collaborate with product, development, and AI engineering teams while documenting research, rationale, and design decisions.

Lead user research for a generative AI platform used by a UK government department. Plan and conduct qualitative and quantitative research across product phases, investigate trust and comprehension of AI outputs, validate human-in-the-loop workflows, synthesize findings, support GOV.UK service assessments, and collaborate with product, design, and engineering teams in secure, regulated environments.