Latest ML Architect Jobs

Senior Software Engineer (Inference Platform), London

Design and optimize large-scale AI/ML infrastructure for biotech research, focusing on GPU/TPU systems, Kubernetes orchestration, and inference platform reliability. Build robust monitoring, CI/CD, and job scheduling systems to support high-throughput model serving and digital biology breakthroughs.

Isomorphic Labs London, United Kingdom

On-site Permanent

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

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Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, spatial intelligence, and scalable decision-making. You'll develop foundation models, reinforcement learning systems, and sim-to-real transfer techniques in a multidisciplinary environment. The work spans simulation, robotics, and real-world deployment, with a focus on long-horizon prediction and cross-embodiment learning.

Wayve London, United Kingdom

On-site Permanent

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Senior Cloud Site Reliability Engineer

This role involves building and scaling the reliability foundations of an AI cloud platform, including model development and GPU compute systems. The engineer will define SRE frameworks, ensure platform resilience, and enable scalable AI deployment through automation and observability. It's a founding role requiring deep expertise in distributed systems, Kubernetes, and cloud infrastructure.

Wayve London, United Kingdom

On-site Permanent

Machine Le arning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

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

Senior Software Engineer

This role involves owning the full application and integration layer for AI-powered products, with responsibilities spanning backend services, API design, MCP integrations, agent-to-agent connectivity, and frontend development using React and TypeScript. The engineer will build scalable, secure, and observable systems that bridge AI capabilities with end-user and internal product interfaces. A strong focus is placed on architectural ownership, AI-specific UX patterns, and robust integration across distributed systems.

The Portfolio Group London, United Kingdom £90,000 pa

Data Governance Consultant

This role involves designing and implementing data governance frameworks, including policies, stewardship models, and data quality standards, with a strong focus on responsible AI and AI assurance. The consultant will lead stakeholder engagements, develop metadata and lineage solutions, and contribute to AI model evaluation and risk assessments within high-security government and defence environments. Work includes collaboration with data architects and security teams, along with supporting audits, pre-sales, and knowledge sharing.

Meritus Talent Bristol, United Kingdom £70,000 – £80,000 pa

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites globally. The position operates at the intersection of data science and software engineering, focusing on real-world impact in advanced industries.

PhysicsX London, United Kingdom

Senior AI Engineer

Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.

Causaly London, United Kingdom

Hybrid Permanent

Senior AI Engineer

Lead the design and deployment of scalable AI and generative AI solutions, including LLM-based applications for enterprise search, document summarization, and conversational AI. Drive innovation through retrieval-augmented generation (RAG) architectures and mentor engineering teams in transformer models and prompt engineering. Collaborate across data, ML, and business teams to deliver measurable impact using cloud AI platforms and MLOps practices.

Appcast Enterprise Cork, United Kingdom

Senior AI Engineer - AI Transformation

Build and ship end-to-end AI agent systems that transform how Multiverse operates, from context design and tool integration to evaluation and production operation. Work across the full stack to reinvent internal workflows and set the blueprint for AI-first companies. Use AI-assisted development with Claude Code and shape technical direction in a small, high-impact team.

Multiverse London, United Kingdom

Hybrid Permanent Clearance Required

Senior AI Engineer, Edinburgh

This role involves designing and delivering end-to-end AI agent systems that transform how Multiverse operates internally, with a focus on context management, retrieval strategies, evaluation frameworks, and tool integrations. You'll work across the full stack to build AI-first workflows that improve productivity and set industry standards, using AI-assisted development with Claude Code. The position emphasizes product thinking, rapid iteration, and technical leadership within a small, high-impact engineering team.

Multiverse Edinburgh, Alba / Scotland, United Kingdom

Hybrid Permanent Clearance Required

Research Engineer - Inference

The role involves deploying and optimizing cutting-edge AI models for real-time inference in production environments. You'll focus on improving latency, throughput, and cost efficiency across the full serving stack, from model architecture to custom kernels and orchestration. The position emphasizes building high-performance systems and tooling to enable rapid, reliable deployment of AI models at scale.

ElevenLabs United Kingdom

Remote Permanent

Principal Engineer – Risk Decisioning & Agentic AI – BPL

Lead the design and implementation of AI-driven risk decisioning systems, focusing on fraud detection, credit risk, and financial crime. Develop scalable, cloud-native platforms using event-driven architectures and real-time processing, while mentoring engineering teams and shaping technical strategy. Work within a regulated environment to translate compliance and risk requirements into robust, production-grade solutions.

Barclays London, E14 5RB, United Kingdom