Latest ML Architect Jobs

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and Google Cloud Platform (GCP) technologies, focusing on Generative AI and large-scale machine learning workloads. Engage with developers, data scientists, and technical leaders to optimize training and inference pipelines. Collaborate across engineering, product, and sales teams to integrate NVIDIA platforms into enterprise computing environments.

NVIDIA France

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

This role involves designing and deploying large-scale AI and HPC GPU infrastructure in collaboration with NVIDIA Cloud Partners, with a strong focus on datacentre power, cooling, and MEP integration. The Solutions Architect will guide customers through technical challenges, develop proofs of concept, and ensure efficient, scalable deployment of NVIDIA's hardware and software solutions. Key responsibilities include advising on datacentre best practices, troubleshooting infrastructure bottlenecks, and influencing future product development based on real-world deployment insights.

NVIDIA Bristol, United Kingdom

Hybrid Permanent

Sr. Forward Deployed Engineer - Architect - Full Stack

Lead the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. Work hands-on to architect end-to-end solutions combining data engineering, machine learning, and application development while embedding with customer teams to drive adoption and impact. Contribute reusable frameworks and influence product direction through direct customer feedback.

Databricks London, United Kingdom

.NET Developer

Work on complex greenfield .NET/C# software projects involving full-stack development with ASP.NET Core, Blazor, React, and JavaScript. Integrate AI capabilities using ML.NET and Azure AI, while collaborating in an agile environment with modern DevOps practices on Azure. The role offers technical growth and the chance to shape critical systems for a rapidly scaling streaming platform.

Noir M11Ar, United Kingdom £60,000 – £80,000 pa

.NET Developer

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading(Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer,...

Noir Rg11Az, United Kingdom £50,000 – £75,000 pa

Platform Engineer

This role involves building and scaling the infrastructure that powers an AI-native platform for drug discovery. The engineer will manage Kubernetes clusters, cloud infrastructure, and ML pipelines, ensuring reliable and secure deployment of AI models in a production environment. Collaboration with ML, backend, and product teams is central to enabling scalable, in-silico biological experimentation.

Helical London, United Kingdom

Hybrid Permanent

Treasury AI Engineering Lead - NatWest Group

The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on liquidity forecasting, capital optimisation, and risk management. You'll design and deliver AI solutions, migrate systems to secure cloud environments, and promote responsible AI practices while mentoring engineers and shaping technical strategy. The position requires strong leadership in AI engineering, collaboration with stakeholders, and oversight of data governance and scalable architecture.

eFinancialCareers London, United Kingdom

Senior AI Engineer (Gen AI & RAG)

Design and implement production-grade generative AI systems with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. Develop scalable, reliable AI pipelines using domain-specific data and contribute to evaluation frameworks that ensure correctness and business alignment. Collaborate closely with platform and product teams to bring AI capabilities from experimentation to deployment.

The Portfolio Group Manchester, United Kingdom £80,000 – £100,000 pa

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

Applied AI Engineer

An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy production-grade AI systems that solve high-impact business problems. The role involves hands-on coding, architecture design, integration, evaluation, and guiding technical decisions across safety, reliability, cost, and governance. Engineers will transition prototypes into scalable, reliable systems while contributing reusable tooling and influencing product development through real-world deployment insights.

OpenAI United Kingdom

Hybrid Permanent

AI Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance Cambridge, United Kingdom

Hybrid Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Technical Program Manager, Platform

This role involves leading the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), focusing on strategic planning, cross-team alignment, and execution of core infrastructure initiatives. The Technical Program Manager will translate complex technical requirements into actionable roadmaps, manage risks in large-scale AI systems, and ensure platform reliability and adoption. It requires deep expertise in developer tooling, distributed systems, and cloud-native infrastructure within a fast-paced AI environment.

Scale AI London, United Kingdom

Hybrid Permanent

Staff Applied AI Engineer

This role involves designing and governing high-stakes AI systems for public sector clients, with a focus on responsible AI, model evaluation, and production MLOps. The engineer will establish technical standards, lead incident resolution for model safety, and build reusable AI capabilities like fine-tuned models and agent architectures. They will also mentor senior engineers, advise on technical roadmaps, and act as a trusted advisor to government clients on AI strategy and deployment.

Scale AI London, United Kingdom

Hybrid Permanent Clearance Required