Latest ML Architect Jobs

Senior Solutions Architect (DS/ML/GenAI/LLM)

This role involves designing and delivering end-to-end Data & AI solutions on the Databricks Lakehouse Platform, with a focus on Generative AI use cases such as fine-tuning, RAG, and MLOps for LLMs. The Senior Solutions Architect will lead technical engagements, develop proofs-of-concept, and act as a trusted advisor to customers while mentoring junior team members. Activities include leading workshops, collaborating with sales teams, and contributing to technical community initiatives across the UK&I and EMEA regions.

Databricks London, United Kingdom

Hybrid Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

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

NVIDIA

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Staff ML Performance Engineer (Inference Optimisation)

As a Staff ML Performance Engineer, you will focus on optimizing machine learning inference for edge devices and GPUs, working on large transformer-based models. You will collaborate with model developers, profile and optimize the full inference stack, and contribute to technical roadmaps and tooling.

Wayve London, United Kingdom

Hybrid Permanent

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Staff ML Performance Engineer (Compiler)

Optimise machine learning inference for edge accelerators and GPUs, focusing on efficient execution of large transformer models on low-power devices. Work across compilers, runtimes, kernels, and embedded deployment to deliver high-performance, reliable in-vehicle computing systems. Collaborate with model developers and contribute to technical roadmaps in an early-stage, high-impact environment.

Wayve London, United Kingdom

Senior ML Engineer

Design and deploy production-grade NLP systems and large language models tailored for financial services, with a focus on scalability, data governance, and regulated environments. Develop fine-tuned, low-latency AI workflows integrated into cloud infrastructure, while mentoring engineers and advancing evaluation methodologies for LLM outputs. Work across the full ML lifecycle from research to deployment in a remote-first, innovation-driven team.

Aveni United Kingdom

Remote Permanent

Senior Forward Deployed Engineering - Architect

This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.

Databricks London, United Kingdom

Hybrid Permanent

Associate Director - Lead AI Architect

Lead the design and delivery of production-grade AI and Generative AI systems for high-impact public sector programmes. Architect secure, scalable solutions integrating LLMs, MLOps, and enterprise workflows while mentoring engineering teams and advising senior stakeholders. Focus on practical, responsible AI deployment in regulated environments.

eFinancialCareers London, United Kingdom £90,000 – £120,000 pa

Senior ML Engineer, Doc Fraud

This role involves developing and optimizing machine learning systems for document classification and extraction, with a focus on fraud detection in identity verification. The engineer will work on production-scale LLM and traditional ML pipelines, improving accuracy and performance across global document types. Collaboration with cross-functional teams and mentorship of junior engineers are key aspects of the position.

Entrust London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

Design and build production-grade machine learning systems for document classification and extraction, focusing on high accuracy and scalability across global identity documents. Work with LLMs and traditional ML models, optimize inference pipelines, and collaborate with cross-functional teams to enhance fraud detection and customer onboarding. Emphasis on technical leadership, system reliability, and mentoring within a squad-based engineering culture.

Entrust

Hybrid

Applied AI Security Architect

This role involves serving as a technical security expert for Anthropic’s enterprise customers in highly regulated industries across EMEA. You will lead security and compliance discussions with CISOs and technical leaders, focusing on GDPR, EU AI Act, DORA, and NIS2 compliance, while guiding the secure deployment of Claude. The position requires deep knowledge of enterprise security architecture, data protection, and regulatory frameworks, with a strong emphasis on pre-sales technical engagement and shaping customer trust in AI systems.

Anthropic London, United Kingdom

Hybrid Permanent

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

Lead Data Engineer

This role involves designing and building scalable data infrastructure for AI and real-time systems, with a focus on LLM-native workflows, vector retrieval, and ML data pipelines. The engineer will own data architecture, set technical standards, and shape the future data team while working directly with founders. It's a hands-on leadership role focused on foundational development rather than people management.

Nextech Sw111Aa, United Kingdom £150,000 – £165,000 pa

.NET Developer

This role involves full-stack .NET development using modern technologies including .NET 10.0, ASP.NET Core, and C# 14, with exposure to AI, containerisation, and cloud platforms. The developer will work on enterprise-level applications for a major media group, enhancing digital platforms across web, mobile, and TV. The role offers structured progression, remote flexibility, and training in cutting-edge tools.

Noir En106Az, United Kingdom £50,000 – £70,000 pa