Latest ML Architect Jobs

AI Architect

Design and implement enterprise-scale agentic AI architectures integrating LLMs with core systems in a regulated financial environment. Focus on multi-agent orchestration, reference platform design, and end-to-end AI/ML system architecture including data, deployment, and observability. Work within a hybrid model with two days onsite in London.

Vallum Associates London, United Kingdom £530 – £600 pd

Senior Machine Learning Engineer

Design and implement scalable, production-grade machine learning systems from concept to deployment, translating research into robust real-world solutions. Own the full ML lifecycle including data, training, deployment, and optimisation within a small, high-performing technical team. Focus on performance, reliability, and low-latency inference using modern ML infrastructure and GPU acceleration.

Hexwired Recruitment Limited United Kingdom £90,000 – £160,000 pa

Remote Permanent

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.

Databricks London, United Kingdom

Hybrid Permanent

Sr. Specialist Solutions Architect

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom

Hybrid Permanent

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom

Hybrid Permanent

Data Engineer

The Data Engineer will design and build a modern, cloud-first data platform from the ground up, migrating away from legacy on-premise systems. This role involves creating scalable data pipelines, modernising T-SQL workflows into cloud environments, and establishing engineering best practices like CI/CD and automated testing. The engineer will also prepare data infrastructure for AI/ML initiatives and work closely with analytics teams to enable advanced Power BI modelling and future acquisitions.

Liquidline Ipswich, United Kingdom

Hybrid Permanent

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—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA Germany

Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

NVIDIA

Lead AI Architect

Lead the design and delivery of large-scale AI and data transformation initiatives in high-assurance sectors such as security and justice. This role involves guiding AI solutions from proof of concept to secure, production-grade deployment, with a focus on technical architecture, governance, and cross-functional leadership. Requires deep expertise in generative AI, LLMs, and cloud-based MLOps in regulated environments.

Experis London, City And County Of the City Of London, United Kingdom £80,000 – £110,000 pa

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.

Isomorphic Labs London, United Kingdom

On-site Permanent

ML Platform Engineer

This role involves designing and improving the ML platform systems that support model training, evaluation, and production serving at scale. The engineer will build infrastructure and internal tooling to enhance reliability, scalability, and automation, with a focus on reducing operational overhead for researchers and product teams. Work includes developing agentic workflows, optimizing GPU-based workloads, and improving observability and developer experience across distributed systems.

Synthesia London, United Kingdom

Remote Permanent

Senior ML Compiler Engineer

Design and develop a high-performance machine learning compiler stack for novel AI accelerator hardware. Work closely with hardware, runtime, and ML teams in a full-stack co-design environment to optimise execution of large language models. Define core compiler architecture including IR, optimisations, and lowering strategies from the ground up.

Fractile London, United Kingdom

AI Platform Architect

Design and lead the architecture of enterprise-scale AI platforms for a major financial services client, focusing on scalable, secure, and governed cloud-native solutions. Drive end-to-end AI/ML system design, from data ingestion to model deployment and monitoring, with strong emphasis on MLOps, LLMOps, and compliance in regulated environments. Collaborate across engineering, data, and business teams to deliver production-ready AI capabilities on Google Cloud Platform.

83zero London, United Kingdom £90,000 – £100,000 pa

Hybrid Permanent

Principal ML Platform Engineer

Design and evolve the ML platform infrastructure for training, serving, and deploying generative models at scale. Build reliable, automated systems and internal tooling to reduce operational overhead for researchers and engineers. Work across distributed systems, Kubernetes, and cloud environments to improve scalability, observability, and developer experience in a high-growth AI company.

Synthesia London, United Kingdom

Remote Permanent

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Staff ML Engineer, Gaia

Lead the development and scaling of Gaia, Wayve’s video world model that predicts future driving scenarios from past context. Drive large-scale training of foundation models, improve synthetic scenario generation, and collaborate with research and engineering teams to enhance autonomous driving systems. Focus on model architecture, training strategy, and end-to-end delivery in a high-impact, fast-paced environment.

Wayve London, United Kingdom

Hybrid Permanent