Top AI Jobs in Manchester

Leads development of Cerberus, a scalable real-time facial recognition and identity platform. Owns technical solution delivery, architecture, code quality, governance, estimation, documentation, incident escalation, and on-call support. Mentors developers, conducts reviews, promotes knowledge sharing, and guides a small team in building reliable full-stack systems for regulated global operations.

Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and controlled experiments, and deliver actionable insights for sports and gaming products. The role partners with Fraud, Responsible Gambling, Trading, Branding, and other stakeholders to solve business problems, maintain scalable data science infrastructure, communicate findings, and promote innovative data science practices.

Leads the technical vision, roadmap, governance, and delivery of Bupa’s Care Services data product portfolio. Partners with product managers and multidisciplinary squads to develop scalable, secure, reusable data and AI products. Establishes data architecture, modelling, analytics, quality, and governance standards across Azure, Snowflake, Power BI, and GCP. Provides technical leadership across multiple teams, manages dependencies, and identifies opportunities to apply AI, machine learning, automation, and advanced analytics.

Build and evolve core backend systems that review AI safety detections, identify ambiguous cases, automate triage, and close model feedback loops. Partner with product, design, and ML teams to own projects end-to-end, improve detection precision, and raise quality, operability, and engineering clarity across Samsara's Safety platform.

Manage consulting engagements for energy network clients across capital delivery, asset management, operating model improvement, field operations, and digital transformation. Shape improvements across people, processes, technology, governance, and performance management. Help clients deploy pragmatic data and AI solutions, mobilize delivery, land operational change, and develop proposals and client relationships. The role requires utilities or asset-intensive industry experience and involves travel to client sites, typically one to two days per week.

Lead enterprise architecture for SAP S/4HANA transformation programs, including process redesign, solution architecture, portfolio management, integration, governance, and technology strategy. Partner with business and technology leaders, product managers, engineering teams, PMO staff, system integrators, and software providers. Evaluate architectures, software standards, business cases, security and privacy requirements, regulatory alignment, technology roadmaps, and SAP ECC-to-S/4HANA migration plans.

Lead Clio’s product portfolio and customer experience for France, driving localization, regulatory readiness, multilingual support, and market expansion. Own the roadmap, coordinate cross-functional teams, influence central platform priorities, and deliver SaaS products for French legal professionals. Apply knowledge of French civil law, legal-market regulations, AI-enabled product practices, system design, and internationalization to launch and scale compliant solutions.

Own a portfolio of existing SaaS customers, convert flexible billing customers to annual commitments, and recover at-risk accounts. Responsibilities include monitoring usage and account health, identifying churn risks, building remediation plans, closing contract changes, coordinating technical and support resources, and maintaining accurate CRM forecasts. Success requires customer success or account management experience, commercial closing ability, technical fluency with cloud products, turnaround expertise, Salesforce proficiency, organization, independence, and composure under pressure.

Review, draft, and negotiate complex client-facing commercial, technology, and AI-related contracts. Provide practical legal advice, ensure regulatory and policy compliance, mitigate risks, support governance and General Counsel Office projects, and improve contracting processes through legal technology and contract-management tools. The role also involves people management, cross-firm collaboration, stakeholder influence, and contributing to commercial strategy.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Lead the strategy, vision, roadmap, and outcomes for economic crime analytics products and platforms. Manage and develop Product Owners and Business Analysts, prioritize investments, balance customer value with fraud prevention and risk, and align cross-functional teams to deliver scalable capabilities. The role requires expertise in fraud and financial crime risk, data and analytics, AI-enabled products, product strategy, stakeholder management, and people leadership.

Leads digital and AI strategy for Arcadis’ Industrial Manufacturing and Technology sectors. Translates emerging technologies and market needs into differentiated client propositions, growth opportunities, investment cases, product portfolios, and sector roadmaps. Partners with sector, account, and Digital Intelligence teams to improve win rates, prioritize innovation investments, develop strategic partnerships, and bring scalable digital solutions to market. Advises senior stakeholders and clients on practical applications of digital and AI capabilities.

Owns the infrastructure curriculum across IT support, networking, cybersecurity, cloud, and AI-enabled infrastructure programs. Designs and maintains sequenced, occupationally relevant learning content; supports trainers and coaches through delivery guidance, standardisation, and CPD; contributes technical expertise to employer and sales discussions; and leads curriculum improvement, quality assurance, compliance, and audit-readiness activities across funded and commercial provision.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Manage programme and work package risk registers, facilitate risk reviews and workshops, provide risk guidance and reporting, support quantitative risk analysis, and improve risk governance across a complex clean-energy infrastructure programme. The role engages stakeholders across the business and helps embed innovative approaches, including AI-enabled risk management and analytics.

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.

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.

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.

Leads digital delivery and optimisation across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, data governance, platforms and roadmaps, and champions AI, machine learning and data science adoption. Identifies automation opportunities, supports MVP development, manages regional enablement, contributes to bids, and facilitates client workshops and stakeholder presentations. The role requires strong digital expertise, infrastructure or water-sector experience, and the ability to influence technical and non-technical stakeholders.

Lead end-to-end AI-powered insight programs for major client accounts, including scoping, resourcing, budgets, timelines, client advising, and commercial growth. Apply AI-enabled simulation tools, collaborate with specialist teams to improve delivery, and guide clients through innovative research approaches. Coach consultants and associates, establish best practices, and manage multiple projects in a fast-moving environment.

Conduct and publish original research in artificial intelligence, digital manufacturing, robotics, digital twins, and related engineering disciplines. Develop and deliver undergraduate, postgraduate, and continuing professional development teaching. Supervise PhD students, contribute to curriculum development, pursue research grants, engage with industry and policy partners, and support university management, enterprise, knowledge transfer, and inclusion initiatives.

Leads delivery of cloud platforms supporting large-scale transformation, including migration, modernization, and new builds. Establishes architectural principles and platform strategy with senior stakeholders, drives technology direction, and develops platform capability and team members. Advises on AI strategy, governance, and ROI while applying AI responsibly to improve delivery outcomes. Builds standards, blueprints, customer relationships, and account strategies, and contributes to organizational platform engineering, developer productivity, and emerging technology adoption.

Own end-to-end payroll and improve People Operations across the employee lifecycle. The role redesigns manual processes, improves data flows between payroll and HR systems, uses automation and AI, and implements reward and benefits initiatives. It requires discretion, strong systems thinking, independent judgment, process improvement experience, and clear communication with employees and stakeholders.