Top Machine Learning Jobs in Manchester

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

As a Product Manager at Bringg, you will define product strategy, work with stakeholders, manage the roadmap, and integrate AI into logistics solutions.

Lead design and delivery of secure, scalable enterprise software for private banking. Build reusable frameworks, integrate AI/ML, ensure operational stability, mentor engineering teams, and influence senior stakeholders to drive digital transformation.

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 and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

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.

Lead design, development, and production deployment of scalable, secure Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale use cases, and enforce AI governance, security, and ethical practices.

Lead design, development, and deployment of scalable Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale AI products, and ensure governance, security, and ethical AI practices across enterprise platforms.

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.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Lead assessment, design and delivery of project controls and PMO solutions for complex infrastructure programmes. Run workshops, analyse findings, produce recommendations, develop transformation products, support business development, manage stakeholders including C-suite, and line-manage direct reports while deploying digital tools to enable integrated reporting and actionable intelligence.

Lead technical research and advisory work on technologies underpinning online services to support Ofcom's online safety objectives. Provide expert technical guidance on AI/ML moderation systems, encryption, privacy, and network architectures; design and manage research projects and experiments; assess regulatory feasibility and platform implications; produce analytical outputs for senior decision-makers; and build internal and external relationships to inform policy and regulatory approaches.

Define and lead the enterprise AI operations model and governance. Own operational performance, monitoring, adoption, reliability, and business value of AI products. Drive cost transparency and optimisation across Azure, Databricks and inferencing. Govern model lifecycle (onboarding, deployment, monitoring, retraining, upgrades, retirement) and lead incident, change, resilience, and responsible AI processes to keep production services secure and compliant.

Lead technical strategy and architecture for personalization, search, and recommendation systems. Deliver scalable ML-powered features, mentor senior engineers, and improve engineering quality across cross-functional teams.

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

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Lead and execute statistical and geospatial analyses to quantify and map climate mitigation potential from forests and peatlands. Design analytical workflows, manage projects and partners, create datasets, tools, reports, and deliver trainings and technical support for global conservation initiatives. Communicate results via publications, visualizations, and capacity-building activities; occasional fieldwork and international travel possible.

Lead platform product ownership bridging cloud and firmware strategy and execution. Manage and prioritize backlog, engage customers, collaborate with R&D, define releases, and drive agile delivery aligned with product leadership.

Own the Device Intelligence product roadmap for tier‑1 network service providers. Define PRDs, AI/LLM-assisted workflows, and technical requirements; lead discovery, backlog prioritization, and cross-functional delivery; engage strategic customers and support sales with competitive positioning.

Lead product strategy to convert Trust & Safety workflows into scalable, agentic, enterprise-ready offerings. Drive 0-to-1 incubation, productization, and scaling for large platforms, maintain defensible data assets, and collaborate with Professional Services to deliver bespoke projects while ensuring high-throughput adoption by Big Tech clients.