Latest data architect Jobs

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

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 research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Senior AI Engineer

This role involves leading the technical strategy and end-to-end delivery of AI and machine learning solutions within a global professional services firm. The Senior AI Engineer will design and implement scalable AI systems, manage a team of engineers, and collaborate with business stakeholders to align AI initiatives with strategic outcomes. The role also includes oversight of third-party providers and continuous improvement of AI platforms using modern frameworks and cloud technologies.

A&O Shearman Craigavon, County Armagh, United Kingdom

Senior AI Engineer

This role involves leading the strategy, design, and implementation of advanced AI and ML solutions, managing a team of IT professionals, and collaborating with business stakeholders to ensure scalable architecture and alignment with best practices. The Senior AI Engineer will also be responsible for maintaining strong customer relationships, driving technical innovation, and ensuring the successful delivery of AI projects.

A&O Shearman Rosetta, County Down, United Kingdom

Staff Software Engineer (Inference Platform), London

This role involves leading the reliability and scalability of AI/ML infrastructure for drug discovery, focusing on GPU/TPU systems, Kubernetes orchestration, and inference services. The engineer will design test harnesses, improve monitoring and CI/CD stability, and ensure high-throughput model serving. Work is closely aligned with research and applied ML teams to support biotech R&D at digital speed.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA

Lead translational strategies for oncology and immunology programs by designing in vivo pharmacology and PK/PD studies, bridging computational predictions with experimental validation. Work across CROs to generate robust data for candidate selection and clinical translation, integrating biomarker strategies and informing first-in-human trial design.

Isomorphic Labs England

Senior Machine Learning Engineer (Safety)

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions in national security and AI safety. You will design and build scalable, production-grade ML software and infrastructure, mentor junior engineers, and collaborate with cross-functional teams to ensure AI systems are secure, trustworthy, and safe.

Faculty London, United Kingdom

Permanent

Senior Manager - PE

Leads high-velocity AI due diligence and value creation projects for private equity clients, translating technical risk into investment insights and driving commercial outcomes. Oversees cross-functional teams to assess data assets, AI maturity, and disruption risks while building strategic advisory relationships. Focuses on identifying business opportunities and mentoring teams in a fast-paced, entrepreneurial environment.

Faculty London, United Kingdom

Permanent

Staff Robotics Engineer, AV Core

As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.

Wayve London, United Kingdom

Staff Research Scientist, Reinforce Learning

This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and real-world deployment, contributing to the future of embodied AI.

Wayve London, United Kingdom

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Graduate AI and Secure Technologies Engineer (2026 start)

Work on cutting-edge security and AI engineering challenges across critical infrastructure, defence, and emerging technologies. Contribute to threat modelling, secure-by-design architectures, vulnerability analysis, and security assurance in multidisciplinary teams. Engage in full lifecycle engineering from concept to deployment, with opportunities to interact directly with clients and develop technical prototypes.

Cambridge Consultants United Kingdom

Graduate AI and Secure Technologies Engineer (2027 start)

This role involves working on real-world engineering challenges in cyber security, AI, embedded systems, and connected technologies. You'll contribute to threat modelling, security risk assessments, and secure-by-design system architectures, collaborating with multidisciplinary teams on projects across various sectors including defence, industrial systems, and critical infrastructure.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Platform Engineer

A Platform Engineer will design and scale Kubernetes-based hybrid compute clusters across private and public clouds, supporting machine learning and data science workflows. The role involves building core platform services, managing CI/CD pipelines, and ensuring system reliability, security, and scalability. Close collaboration with ML and data teams is essential to meet computational demands in a high-impact biotech environment.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Member of Technical Staff, Training Performance Engineer

This role involves optimizing the performance of large language models during training, focusing on improving throughput and accelerator utilization. You'll design high-performance software, write low-level CUDA and Triton kernels, and develop profiling tools to eliminate bottlenecks. The position sits within a research-driven team working at the intersection of ML and systems engineering, leveraging large-scale infrastructure to advance NLP capabilities.

Cohere London, United Kingdom

Hybrid Permanent