Top Machine Learning Jobs in Manchester

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.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead technical authority for engineering analysis software: define strategy, standards and governance; lead a small software team; coach engineers; integrate with IT/digital functions; drive efficiency and AI-enabled analysis workflows; liaise with suppliers, research and industry; ensure safety‑critical quality assurance.

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 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 and develop a team of ML specialists to deliver production ML systems for fraud and financial crime. Set priorities, ensure model lifecycle practices (development, deployment, monitoring, governance), partner with Product, Risk, Engineering and Data, and raise standards for performance, explainability, reproducibility and observability while building an inclusive high-performing team.

Lead delivery of AI-powered insights for clients, manage relationships, and drive commercial growth while innovating technical workflows.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The role involves designing and developing AI-powered solutions for complex enterprise problems, integrating AI capabilities, and collaborating with various teams. Candidates need strong analytical, algorithmic, and engineering skills in AI and ML.

Provide EU-focused data privacy and digital regulatory legal counsel across business segments. Lead privacy program development, support HR, Marketing, M&A, and transactional work, manage incident response, regulatory engagement, DPIAs, cross-border data transfers, and advise on EU Data Act, GDPR, data governance, and product compliance.

Lead development of enterprise commercial intelligence: build data models (pipeline, forecasting, segmentation), deploy AI/ML for forecasting and churn, create dashboards, establish data governance, partner with senior leaders to drive insight-led decisions and adoption across global teams.

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

Design and develop AI solutions for complex problems, integrating AI capabilities into systems and improving effectiveness through experimentation and evaluation.

The Vice President, AI-Augmented Full-Stack Engineer will drive AI-driven engineering practices, mentor team members, and develop scalable solutions using cloud-native architectures and machine learning.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

Deliver end-to-end data science projects: build and deploy ML/NLP and generative-AI solutions, design scalable data pipelines, integrate cloud services and APIs, implement RAG/vector-search applications, and collaborate with cross-functional teams to produce reusable tools and client-facing products.

As Senior Product Manager, you'll lead the integration of global airline partners, optimize supply metrics, and enhance product specifications for seamless booking automation, focusing on AI solutions and API performance.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Design and implement low-latency, large-scale ads auction and marketplace systems. Build backend services for bid evaluation, ranking, pricing, pacing, and frequency capping. Integrate SSP/DSP sources, run A/B experiments, collaborate with product and data science, and ensure auction correctness, compliance, reliability, and performance.

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

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

Apprentice Data Scientist working within Engineering: extract, interpret and present data; build Power BI reports; develop machine learning models; collaborate with performance, analysis and engineering teams; communicate insights to global stakeholders while studying part-time for a Level 6 BSc Hons Data Science.

As VP of AI/Machine Learning Data Engineering, you will design scalable data platforms, collaborate with cross-functional teams, and mentor junior engineers while promoting an AI-first mindset.