Latest machine learning Manchester Jobs

Software Engineer (TechOps), London

Design and manage cloud infrastructure for a cutting-edge AI-driven drug discovery platform, supporting research and production workloads on GCP. Work closely with scientists, ML researchers, and engineers to build scalable, secure, and automated systems using Kubernetes, Terraform, and modern DevOps practices. Operate in a hybrid environment with a focus on innovation and scientific impact.

Isomorphic Labs United Kingdom

Hybrid Permanent

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.

Isomorphic Labs United Kingdom

Hybrid Permanent

Platform Engineer

This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Talent Pool

This role is part of Relation Therapeutics' talent pool for future opportunities in computational and discovery roles within life sciences, with a focus on machine learning engineering for high-performance multi-GPU computing. The company integrates single-cell multi-omics, functional assays, and machine learning to advance drug discovery. Ideal candidates come from life sciences or cross-industry ML engineering backgrounds and are interested in contributing to transformative medicine development.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Software Test Engineer

The role involves leading test engineering efforts within a cross-functional product team, focusing on frontend, backend, and mobile applications built on microservices and machine learning. Responsibilities include designing automated test frameworks, driving quality improvements, mentoring team members, and integrating testing into CI/CD pipelines. The engineer will use a mix of open-source and custom tools while advocating for strong test culture and quality practices across teams.

Entrust Portugal

Senior Software Test Engineer

This role involves leading test engineering efforts within a cross-functional team, focusing on designing and implementing automated test frameworks for web, backend, and mobile applications built on microservices and machine learning. The engineer will advocate for quality, mentor team members, and integrate testing into CI/CD pipelines using modern tools and cloud infrastructure. The position emphasizes ownership of test strategy and collaboration with product and engineering to ensure robust, scalable solutions.

Entrust

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Senior Software Engineer, Cloud, Simulation

This role involves developing and enhancing Wayve’s simulation platform for autonomous driving, focusing on high-fidelity robot emulation, visual realism, or scalable cloud infrastructure. The engineer will integrate machine-learned graphics and robotic systems into production-grade Python systems, working closely with research, robotics, and data teams. The position emphasizes technical leadership in building accurate, scalable simulations that support AI-driven vehicle development.

Wayve London, United Kingdom

Hybrid Permanent

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Senior Data Scientist

A Senior Data Scientist will partner with AI engineering teams to develop data-driven insights that improve the functionality, safety, and performance of Wayve’s AI-driven autonomous vehicles. Using real-world and simulated driving data, the role involves designing experiments, refining performance metrics, and diagnosing model bottlenecks. The position emphasizes statistical rigor, causal analysis, and cross-functional collaboration in a fast-moving, innovative environment focused on advancing end-to-end AI for automated driving.

Wayve London, United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Senior Software Engineer, Chem-Bio

Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required

Computer Vision Engineer

A Computer Vision Engineer will lead high-impact AI initiatives in the defence sector, designing and deploying advanced computer vision systems that solve real-world challenges. The role involves technical leadership, mentoring, shaping strategic capability, and contributing to business development through cutting-edge research and production deployment. Work spans on-site client collaboration and flexible UK-based remote or office work, with a focus on ethical, reliable AI in sensitive environments.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Lead Software Engineer

Lead the technical direction of AI and machine learning projects, designing production-grade systems and guiding engineering teams across the full project lifecycle. Focus on delivering robust, scalable solutions for clients in energy, sustainability, and infrastructure sectors. Drive innovation through reusable tools, architectural leadership, and mentoring across multidisciplinary teams.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

A Senior Forward Deployed Software Engineer at PhysicsX works directly with customers and internal teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers also contribute to the core platform by abstracting reusable components from customer solutions and shaping product direction.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

Applied AI Engineer

An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy AI systems that solve real-world business problems. The role involves hands-on coding, system integration, and technical leadership to guide AI solutions from prototype to production, with a focus on reliability, safety, and measurable impact. The position requires deep technical expertise and strong collaboration with both customer teams and internal OpenAI groups.

OpenAI London, United Kingdom

Hybrid Permanent