Latest machine learning Manchester Jobs

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Rathcoole, South Dublin, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI deployments.

Mastercard Swords, Fingal, Ireland

Data Automation & AI Lead

Lead the development and implementation of enterprise-wide data, AI, and automation capabilities, overseeing both onshore and offshore technical teams. Drive strategic initiatives including trusted data foundations, AI model deployment, and centralised platform adoption across a global organisation. Provide technical leadership in data architecture, security, and emerging AI technologies while mentoring team members and aligning solutions with business needs.

Michael Page Birmingham, West Midlands (county), United Kingdom

Research Engineer, Pretraining

This role involves conducting research and engineering to advance large language models, focusing on model architecture, optimization, and scalable training infrastructure. You'll work across the full stack—from low-level system optimizations to high-level model design—while contributing to scientific experiments and tooling. The position emphasizes collaboration, interpretability, and AI safety within a cohesive research team.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Research Scientist, AI RL and LLMs

This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. You'll co-develop models that enhance memory, task horizon, and general intelligence in vision-language models, with a strong emphasis on open-sourcing code and publishing high-impact research. The position is embedded in NVIDIA's AI research team in Zurich, focusing on long-term breakthroughs in AI.

NVIDIA Switzerland

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing models with enhanced memory and task capabilities, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a leading AI research team focused on long-term breakthroughs in intelligent machines.

NVIDIA

AI & Data Enablement Lead

Leads the strategic adoption and governance of AI across the organisation, driving measurable business value through responsible innovation. Establishes AI frameworks, architecture standards, and operating models while promoting AI literacy and cultural change. Works closely with business and technology stakeholders to identify opportunities, guide proof-of-concepts, and embed ethical AI practices aligned with enterprise data strategy.

Michael Page Technology London, United Kingdom £80,000 – £95,000 pa

Hybrid Permanent

STEM Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact AI research projects by designing domain-specific challenges and datasets to evaluate advanced generative AI systems. Fellows contribute expert insights to improve model reasoning and performance, co-author technical publications, and engage with a global network of leading researchers. The position is research-intensive, interdisciplinary, and focused on advancing human-centered AI through applied, domain-driven evaluation.

Scale AI United Kingdom

Remote Contract Flexible

Applied AI Engineer, Global Public Sector

Build and deploy end-to-end AI applications for public sector clients, leveraging cutting-edge models and open-source tools. Collaborate with cross-functional teams to create high-quality training datasets and evaluation frameworks. Engage in customer projects with occasional travel, focusing on real-world AI impact at scale.

Scale AI United Kingdom

Hybrid Permanent

Data & AI Engineer

Design and build scalable data pipelines and AI solutions on Snowflake and Azure platforms, supporting analytics and machine learning workloads. Collaborate with technical and non-technical stakeholders to implement best practices in data engineering and drive adoption of generative AI technologies. Work within Agile frameworks to continuously improve data platform performance and support MLOps and governance standards.

Hastings Insurance Services Bexhill-on-Sea, TN39 3JX, United Kingdom

Control Red Team - Research Engineer/Research Scientist

This role involves designing and conducting machine learning experiments to evaluate the effectiveness of AI control measures such as monitors, sandboxing, and permission systems. The researcher will develop adversarial attacks to test frontier AI models, build experimental infrastructure, and produce actionable insights for both companies and government stakeholders. Work combines technical depth in ML with strategic red-teaming to uncover real-world risks in advanced AI systems.

AI Security Institute London, United Kingdom

Research Program Manager

The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, and engineering teams, manages delivery cadence, and supports external collaborations—enabling scientists to focus on innovation while maintaining strategic coherence. The position is central to scaling research operations in a fast-growing, interdisciplinary environment.

PhysicsX London, United Kingdom

Misuse Red Team - Research Engineer/Research Scientist

This role involves researching and developing novel attack vectors against large language model safeguards to identify vulnerabilities before malicious actors can exploit them. You'll design automated attack systems, evaluate LLM robustness through methods like jailbreaking and data poisoning, and collaborate with leading AI labs to improve defenses. The work directly informs policy and safety practices at frontier AI companies and government levels.

AI Security Institute London, United Kingdom