Top Machine Learning Jobs in Manchester

The Director of Data & Analytics will lead financial crimes advisory engagements, mentor teams, ensure quality deliverables, identify business opportunities, and develop strategic relationships while managing client expectations and risks.

Lead engineering systems and teams for an AI chat application, focusing on backend, mobile, and desktop. Oversee strategy, architecture, integration, and high-impact technical decisions for reliable user experiences.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Manage the end-to-end product lifecycle for financial crime tools, focusing on compliance, innovation, and backlog management while liaising between engineering and business teams.

Design and lead Oversee's sales enablement strategy, building onboarding, certification, role-based learning, sales methodology, playbooks, and cross-functional engagement. Partner with Product, Marketing, Engineering, and RevOps to enable enterprise sales of AI and automation solutions, measure enablement impact, and improve win rates, ramp time, and sales cycle efficiency.

Lead assessment, design and delivery of project controls and PMO solutions for major capital programmes. Run workshops, produce findings/recommendations, deploy tools and digital solutions, engage senior stakeholders, support business development, and line-manage staff to drive performance improvements.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

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 Analytics Engineer to architect and scale Operations data in BigQuery, build robust ETL and data models for reporting, ML and LLM use, drive re-architecture of domains, set DW best practices, own data governance and testing, lead through others, and provide on-call pipeline support.

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.

Design, build and maintain MLOps pipelines and CI/CD for AI/ML assets on Azure. Deploy, monitor, and manage lifecycle of models and services (including Azure Speech and OpenAI), ensure security and compliance, create monitoring dashboards, and support Flask applications that consume Azure ML endpoints.

Lead architecture and delivery of Rosso, a stateful, event-driven pricing platform: own design, code, production quality, scalability, and cross-functional integration with ML and Data teams while mentoring senior engineers and driving organisation-wide technical outcomes.

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.

Lead design and delivery of a production-grade MLOps platform on AWS SageMaker, migrate multi-model production suites, build CI/CD for model promotion, enforce security and governance controls, create reusable MLOps patterns, produce documentation and runbooks, and communicate risks to stakeholders.

Lead technical ML efforts to detect and prevent financial crime by designing, developing and shipping production deep learning, graph and sequence models. Provide IC technical leadership, mentor peers, work with product, engineering and MLOps to iterate models on a cloud-native platform, and measure production impact while minimising false positives and operational costs.

Lead technical development and production deployment of ML models for search, personalization, ranking, and recommendations. Build scalable, explainable ML solutions, own end-to-end impact, collaborate with backend and product teams, and iterate on experiments using cloud-native data at scale.

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.

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 regulatory strategy and hands-on regulatory engineering for AI/ML-powered SaMD across EU MDR, FDA, and UK MDR. Prepare submissions and technical files, embed IEC 62304 and EU AI Act obligations into development workflows, support change control and post-market surveillance, train teams, and participate in audits and agency/notified body interactions.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.

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.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.