Top AI Jobs in Manchester

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.

Conduct hands-on research on frontier AI models, reasoning, agents, and multimodal systems. Design benchmarks, evaluation frameworks, and experimental pipelines; rapidly execute research cycles from hypotheses to prototypes and validated findings. Identify model limitations and research opportunities, translate customer challenges into measurable outcomes, and collaborate with engineering and product teams. The role emphasizes LLMs, foundation models, AI security, benchmarking, and evaluation.

Build and lead an AI-native digital banking business, defining its proposition, roadmap, business model, and customer experiences across accounts, cards, payments, savings, and money management. Own P&L, deposits, revenue, unit economics, and operating costs. Partner with product, engineering, and AI teams, build the leadership team, establish banking and operational capabilities, and drive regulatory readiness, partnerships, and expansion.

Build and lead an AI-native consumer finance business spanning spending, saving, investing, and everyday financial workflows. Responsibilities include defining product strategy, roadmap, business model, and AI capabilities; owning P&L, growth, revenue, unit economics, and operations; launching and scaling products; collaborating with product and engineering teams; building a cross-functional team; and expanding into new markets.

Design and develop scalable AI-powered solutions for complex enterprise data and analytics problems. Translate ambiguous business needs into algorithmic approaches, build AI architectures and model pipelines, integrate capabilities into enterprise platforms, evaluate emerging AI methodologies, and document solution designs. The role requires strong machine learning, statistical, mathematical, software development, systems architecture, and communication skills.

Design and build scalable AI-powered solutions for complex enterprise data and analytics problems. Translate ambiguous business needs into algorithmic approaches, develop model pipelines and data-processing architectures, integrate AI capabilities into enterprise platforms, evaluate emerging AI methodologies, and document solution designs. The role requires strong software development, machine learning, statistical, analytical, mathematical, and communication skills.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Provide empathetic email-based support for Overleaf and Papers AI users, handling technical, billing, and account inquiries. Maintain and create knowledge-base content, report reproducible bugs, refine support processes, and collaborate with Product, Engineering, Sales, Marketing, Customer Engagement, and Finance. Monitor support trends and surface user feedback while helping establish support documentation and playbooks for an early-stage AI product.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Build and operate data pipelines across Salesforce, HubSpot, Stripe, and Databricks; maintain go-to-market analytics models and dashboards; develop LLM-based agents and automations for Sales, Marketing, and Finance; and productionize integrations with testing and monitoring.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop training and inference pipelines, improve model quality and efficiency, create evaluation datasets and metrics, monitor production performance, debug issues, and ship reliable ML-powered features. The role emphasizes balancing accuracy, relevance, latency, cost, privacy, and reliability while collaborating with engineering and product teams.

Lead technical design and delivery of AI-native email applications. Own architecture and implementation across backend, frontend, APIs, databases and cloud. Stay hands-on writing and reviewing code, debugging production, mentoring engineers, driving major initiatives, improving tooling, and ensuring reliability, security and observability while collaborating with product, design and AI teams.

Own and build Oversee’s product marketing function, including ICP definition, positioning, persona messaging, competitive and win/loss research, product content, sales enablement, and end-to-end product launches. Partner closely with product, sales, growth marketing, and executives to translate technical AI and travel technology capabilities into compelling commercial messaging, establish repeatable GTM processes, and measure launch performance.

Own and grow a UK enterprise territory, retaining strategic accounts and expanding Gartner relationships. Engage CIOs, CTOs, CDOs, and other senior executives on AI, cloud modernization, cybersecurity, cost optimization, data strategy, and digital transformation. Prospect for new opportunities, lead consultative executive conversations, align Gartner insights and services to client priorities, and achieve retention, renewal, and quota goals through complex B2B sales.

Lead global Account Executive enablement by designing and delivering training, coaching, certifications, and sales methodology programs. Improve opportunity progression, conversion rates, deal quality, forecast accuracy, and sales cycle efficiency. Partner with Sales Leadership, Product Marketing, GTM Strategy, Revenue Operations, and regional teams to align programs with business priorities. Drive adoption of AI-assisted selling workflows for research, discovery preparation, stakeholder mapping, deal strategy, and follow-up creation.

Designs and demonstrates tailored AI security solutions for prospective clients, leads proof-of-concept projects, provides technical support, conducts training, and collaborates with sales, product, engineering, and research teams. The role requires expertise in cybersecurity, AI workflows, cloud infrastructure, Python, MLOps, and solution architecture, along with strong communication and presentation skills. This is a fully remote UK-focused position with travel to client sites and industry events as needed.

Leads research and thought leadership on procurement technology, CLM, S2P, procurement orchestration, and AI-enabled procurement. Advises senior executives on digital transformation, technology investments, vendor selection, implementation, governance, and adoption. Evaluates procurement technology providers, publishes market research, develops methodologies, and presents findings through conferences, webinars, and executive discussions.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

Owns full-cycle enterprise sales for Cloudera’s supported Mistral offering and Anywhere Cloud, from prospecting and proof of concept through negotiation, close, renewals, and expansion. Develops pipeline, manages complex multi-threaded deals, engages C-level stakeholders, coordinates technical, product, legal, and implementation teams, and positions AI solutions within customers’ data strategies and hybrid environments.

Own production Python data pipelines, ETL/ELT workflows, and the ontology powering an AI platform. Integrate warehouses and business applications with graph databases and vector stores, while managing deployment tooling, cloud infrastructure, monitoring, and security. The role begins as hands-on individual contribution and develops toward technical leadership through mentoring and architecture ownership.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Support investment consulting client teams serving institutional investors. Responsibilities include performance analysis, strategic asset allocation advice, market commentary, client communications, dashboard development, presentation creation, project management, workflow coordination, and technical quality assurance. The role requires strong investment knowledge, analytical ability, communication, organization, and client-service skills, with opportunities to support responsible investment, multi-asset, fixed income, alternatives, or client reporting teams.