Latest ML Architect Jobs

Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

NVIDIA

Solutions Architect, CSP GTM

Design and implement GPU-accelerated solutions for hyperscaler environments, with a primary focus on Google Cloud Platform. Develop proof-of-concepts and optimize GenAI, machine learning, and data science workloads across training and inference pipelines. Collaborate with engineering, product, and sales teams to integrate NVIDIA technology into enterprise computing architectures and support developer adoption through technical engagement and performance optimization.

NVIDIA Reading, United Kingdom

Forward Deployed Engineering - Senior Architect

This role involves leading the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. The Senior Architect will work hands-on to build end-to-end solutions, integrating data engineering, machine learning, and application development while guiding customers on architecture and best practices. The position emphasizes customer immersion, reusable asset creation, and cross-functional collaboration to drive transformational impact.

Databricks London, United Kingdom

Hybrid Permanent

Senior Specialist Solutions Engineer (AI/ML)

This role involves leading the design of production-grade machine learning and GenAI solutions on the Databricks platform, with a focus on MLOps, RAG architectures, and LLM deployment. The engineer will act as a technical advisor during sales cycles, build MVPs, and support customers in implementing AI workflows. Responsibilities also include creating technical content, mentoring teams, and driving platform adoption through thought leadership and community engagement.

Databricks London, United Kingdom

On-site Permanent

.NET Developer

Develop and maintain enterprise-level .NET applications for a leading commercial radio group transforming into a multi-platform digital brand. Work across the full stack using modern technologies including .NET 10.0, ASP.NET Core, and Azure AI, with opportunities for training and rapid career progression in a flexible, remote-friendly environment.

Noir Bn11Ae, United Kingdom £50,000 – £70,000 pa

.NET Developer

Work on a greenfield project to develop a new online platform for streaming and downloading TV content, using modern .NET technologies and Azure AI. Collaborate with Microsoft consultants and follow a structured career path toward leadership. The role involves full-stack development with exposure to cutting-edge tools like GitHub Copilot and .NET Aspire.

Noir La11Ae, United Kingdom £35,000 – £50,000 pa

Machine Learning Engineer, Global Public Sector

Design and build reliable, multi-step agentic systems for high-stakes government applications, focusing on AI safety, red-teaming, and model optimization in regulated environments. Develop novel architectures and evaluation frameworks to ensure sovereign AI systems are performant, unbiased, and production-ready at scale.

Scale AI United Kingdom

On-site Permanent Clearance Required

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Machine Learning Engineer

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £40,000 – £70,000 pa

On-site Permanent Clearance Required

Agentic AI Software Engineer

Develop and deploy agentic AI and LLM-based applications within a cloud-native environment, focusing on intelligent agent systems and AI platforms. Work closely with scientific teams to support cutting-edge research through scalable backend services and MLOps infrastructure. The role involves strong ownership of development, deployment, and observability in production environments.

Adecco London, United Kingdom

Modelling Engineer

Develop pre-silicon software models of AI accelerator hardware to support architecture design, performance analysis, and early software development. Work collaboratively across hardware, software, and machine learning teams using a co-design methodology. Contribute to the development of high-performance computing solutions for large language models.

Fractile Bristol, United Kingdom

Modelling Engineer

Develop pre-silicon software models for AI accelerator hardware to support architecture design, performance evaluation, and early software development. Work closely with hardware, software, and ML teams in a collaborative co-design environment. Models will inform product design and enable verification prior to fabrication.

Fractile London, United Kingdom

Machine Learning Engineer

This role involves deploying and managing machine learning models in production using Azure Machine Learning, with a focus on building and maintaining MLOps infrastructure and CI/CD pipelines. The engineer will support real-time inference, data pipelines, and scalable ML workloads while collaborating with data scientists and DevOps teams. Responsibilities include monitoring, security, governance, and technical documentation within an Azure cloud environment.

Queen Square Recruitment Wokingham, Berkshire, United Kingdom £460 pd

MLOps Engineering Manager

Lead and mentor a team of MLOps engineers while driving the architectural and technical delivery of machine learning systems, including a migration from MLflow to AWS SageMaker. Collaborate with data scientists and cross-functional teams to build scalable solutions for predictive maintenance, fault detection, and component lifecycle optimisation. Balance hands-on technical work with people leadership in a hybrid environment with regular office presence.

Uniting Ambition Ruislip Manor, London, United Kingdom £100,000 – £120,000 pa