Top Machine Learning Jobs in Manchester

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.

Build scalable backend services and MLOps infrastructure for production forecasting and predictive models. Responsibilities include designing training and deployment pipelines, productionizing data science models, improving forecasting and data-processing services, operating high-availability systems, participating in on-call rotations, leading technical reviews, mentoring engineers, and driving platform improvements.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

Develop and deploy machine learning and statistical models that solve business problems and create measurable impact. Responsibilities include exploratory data analysis, feature engineering, experimentation, model optimization, explainability, MLOps, prompt engineering, and cloud-based data collaboration. The role involves working with clients and stakeholders, communicating insights through visualization and storytelling, and contributing to scalable analytics, Generative AI, and data science solutions.

Own the full business development and sales cycle across Europe, including prospecting, partnerships, stakeholder engagement, negotiation, contracting, and closing against revenue targets. Develop channel opportunities, support European go-to-market strategies, communicate customer ROI, attend industry events, and collaborate with Marketing, Product, technology partners, and agencies. Track funnel performance, improve acquisition processes, and share market insights while engaging apparel brands and retailers.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Lead a team of product managers to define and execute global AI-driven fraud prevention strategy for New Account Opening. Drive customer discovery, prioritize roadmap, measure portfolio KPIs, partner cross-functionally, analyze ML-driven data, manage product profitability, and support global stakeholders to deliver measurable business outcomes.

Drive new enterprise SaaS business by prospecting, managing, and closing high-value deals. Build territory and account plans, collaborate with Sales Engineering, Marketing, Customer Success and Partners, and sell Conga revenue lifecycle solutions (CPQ, CLM, doc-gen, e-sign). Focus ~90% on new business and consistently exceed quota.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

The Senior Information Manager leads information management practices, ensuring compliance with standards like ISO 19650, overseeing data governance, and strategic leadership across projects while managing risks associated with information.

Lead product strategy connecting retail operations and accounting for Tekion's ARC platform. Own UK/Canada retail requirements, drive transformation-first customer engagements, define stock management and integration standards, collaborate across product, engineering and implementation, and represent Tekion externally to enable enterprise dealer adoption.

Design and validate agentic AI capabilities for Protege in PatentSight using ML, NLP, and LLMs. Build retrieval and hybrid search strategies, run experiments, evaluate models, analyze large IP datasets, and translate results into product recommendations while collaborating with engineers, product, and IP experts.

Serve as the technical AI/ML lead in customer engagements: translate customer needs into robust solution designs, build stakeholder relationships, contribute to proposals and product roadmaps, prototype approaches, and ensure delivered ML systems are operationally valuable.

Lead market pricing for the UK pet insurance book: develop demand, elasticity, and price-optimisation models, monitor competitors and market trends, make rate recommendations, present findings to stakeholders, support pricing strategy, and line-manage one pricing analyst.

The EMEA Events Marketing Manager will develop and execute strategic event marketing programmes while overseeing multiple projects, ensuring high-quality attendee experiences, and collaborating with cross-functional teams.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead identification, development, and global deployment of AI and automation solutions to optimize forms and precedents content operations. Prioritize opportunities, collaborate with cross-functional teams, ensure governance and quality, integrate solutions, report outcomes to leadership, and drive continuous improvement and responsible AI practices.

Own the roadmap for acquiring fraud and risk monitoring. Build real-time rules, ML models and Agentic AI to reduce fraud and chargebacks, improve chargeback handling and recovery, define metrics, run experiments, and lead cross-functional delivery across Engineering, Data Science, Risk, Operations and Finance.

Create clear, customer-focused documentation and help content for cloud-based video security, access control, and intrusion platforms. Design user-centric guides, peer-review content for quality and consistency, and collaborate with Engineering, Support, Escalations, and UX teams to improve documentation and product usability.