Latest ML Architect Jobs

Spotlight
Local Pensions Partnership Administration logo

Head of AI

As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.

Local Pensions Partnership Administration Preston, North West England, United Kingdom £90,000 – £100,000 pa
Hybrid Permanent
Spotlight
College of Policing logo

PoliceAI: Senior AI Engineer

As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.

College of Policing London, Eng, United Kingdom £78,000 – £85,000 pa
Remote Contract

AI Architect

The Senior Generative AI Architect will design, develop, and implement advanced generative AI solutions, ensuring scalability, security, and ethical considerations. They will lead the architecture and deployment of AI models, collaborate with cross-functional teams, and stay updated on the latest AI advancements.

Coforge London, United Kingdom £100,000 – £120,000 pa

Senior Architect – GCP , GenAI & Agentic AI

Design and lead the architecture of enterprise-scale AI/ML and Generative AI systems on Google Cloud Platform. Focus on production-grade LLM, Agentic AI, and RAG solutions with strong governance, security, and scalability. Drive technical standards and MLOps practices across the AI lifecycle.

PRACYVA United Kingdom £55 – £600 pd
NVIDIA logo

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
NVIDIA logo

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
Databricks logo

Solutions Architect (Media, Entertainment and Agencies)

Design and implement scalable data and AI solutions on the Databricks platform for media, entertainment, and agency clients. Lead technical engagements from discovery through production, advising senior stakeholders and orchestrating cross-functional teams. Focus on real-time analytics, ML/AI, or data governance with hands-on coding and architecture design.

Databricks London, United Kingdom
Databricks logo

Solutions Architect (Digital Native Business)

This role involves leading technical strategy for customers adopting Databricks' Data + AI Platform, with a focus on data engineering, machine learning, and real-time analytics. The Solutions Architect will design scalable, production-grade solutions, lead architecture discussions with senior technical stakeholders, and act as a trusted advisor through the full customer journey. A key aspect is developing deep expertise in a specific domain such as AI/ML, streaming, or data governance to support both customer success and internal technical leadership.

Databricks London, United Kingdom

Databricks Data Architect

This role involves designing and implementing enterprise Databricks Lakehouse platforms, translating business requirements into scalable data architectures, and leading technical delivery for high-impact clients. You'll optimise performance and cost of Databricks workloads, build secure and governed data ecosystems using Unity Catalog or Purview, and contribute to CI/CD pipelines and architectural patterns. The position blends hands-on technical work with strategic advisory across the full data lifecycle.

Tenth Revolution Group London, United Kingdom £95,000 – £125,000 pa
Hybrid Permanent
Isomorphic Labs logo

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
Fractile logo

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

ML Data & Platform Engineer

Design and maintain scalable data pipelines for training speech AI models, develop data acquisition systems, and operate the ML platform for training, evaluation, and serving. Focus on improving data quality, system reliability, and MLOps practices across distributed infrastructure. Work closely with ML teams to accelerate model deployment and iteration.

Speechmatics London, United Kingdom

ML Data & Platform Engineer

This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.

Speechmatics Cambridge, United Kingdom

ML / LLM Research Engineer

This role involves hands-on engineering and research into the security and behavior of Large Language Models, exploring how information is processed and whether models present risks in secure environments. You will work on practical experiments, turning academic research into real-world applications, primarily using Python.

Ncounter Manchester, United Kingdom £80,000 – £90,000 pa

Staff ML Engineer | Agentic AI & Applied ML | London | |

Design and implement production-grade AI and ML systems, focusing on Agentic AI, RAG, and LangChain/LangGraph patterns. Establish engineering standards, improve observability and model risk controls, and drive adoption across engineering teams. Work within a regulated environment to enable safe, scalable AI solutions in production.

WeDoTech Bunhill, London, United Kingdom £800 – £1,000 pd
Hybrid Contract
Synthesia logo

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

AI/ ML Research Consultant

The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.

Lynx Recruitment Melbourn, Cambridgeshire, United Kingdom £50,000 – £90,000 pa