Latest data architect Jobs

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Senior AI Engineer

The role involves leading the strategy, design, and implementation of AI and machine learning solutions across the firm, managing a technical team and external providers. The Senior AI Engineer will develop and deploy scalable AI models, integrate them into existing systems, and collaborate with stakeholders to align technical strategy with business outcomes. Emphasis is placed on innovation, continuous improvement, and maintaining best practices in AI architecture and engineering.

A&O Shearman The Diamond, County Down, United Kingdom

Senior AI Engineer

The Senior AI Engineer will lead the design and implementation of AI and machine learning solutions across the firm, managing both internal teams and external providers. This role involves full lifecycle ownership of AI systems, from model development to deployment and integration, while shaping technical strategy and ensuring alignment with enterprise architecture. The engineer will work closely with business stakeholders to translate AI use cases into scalable, impactful solutions and drive continuous improvement in AI capabilities.

A&O Shearman Ballymena, County Antrim, United Kingdom

Manager, Software Engineering

Leads a software engineering team building and operating Mastercard's Authentication Decisioning platform, which delivers real-time risk and authentication decisions using AI models, business rules, and data enrichment. Focuses on scalability, security, and operational excellence across distributed systems handling high-volume transaction processing.

Appcast Enterprise County Dublin, United Kingdom

Manager, Software Engineering

Leads a software engineering team building and scaling Mastercard's Authentication Decisioning platform, which uses AI, business rules, and data enrichment to deliver real-time risk decisions at global scale. Focuses on technical delivery, operational excellence, and team development within a high-availability, security-critical environment.

Appcast Enterprise County Kildare, United Kingdom

C# Developer - Front Office Engineering Hedge Fund - London - eFinancialCareers

This role involves designing, building, and enhancing high-impact trading and research platforms in a fast-moving, highly technical environment. You will work closely with quants, traders, and the CTO, contributing to core trading systems, front-office tooling, and data-driven applications using C# and .NET.

eFinancialCareers London, United Kingdom

On-site Permanent

Software Engineer - AI Automation London- Global Prime Brokerage & Financing Platform

This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.

eFinancialCareers London, United Kingdom

On-site Permanent

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Research Leader (DMPK), Cambridge, MA

Lead DMPK strategy for drug discovery projects using an AI-first approach, integrating quantitative pharmacology and ADME data to guide candidate selection. Develop predictive models, optimise molecule design in collaboration with chemistry teams, and support regulatory submissions. Work within a multidisciplinary team to advance novel therapeutics from hit identification to first-in-human trials.

Isomorphic Labs Cambridge, United Kingdom

Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Drive cross-functional collaboration across drug discovery, computational biology, and clinical teams to advance novel therapies from preclinical stages through clinical proof of concept. Pioneer innovative diagnostic approaches and leverage multi-omic datasets to validate mechanisms of action and resistance in cancer therapies.

Isomorphic Labs Cambridge, United Kingdom

Machine Learning Engineer

This role involves deploying machine learning models and engineering surrogates—such as deep learning on CAE/CFD/FEA data, time-series forecasting, and anomaly detection—into customer production environments. The engineer will work closely with data scientists, simulation engineers, and clients across aerospace, energy, semiconductors, and automotive industries to build scalable, geometry-aware ML systems using 3D point-cloud and mesh data. Key responsibilities include designing robust training and inference pipelines, mentoring junior staff, and traveling to customer sites globally to implement AI-driven simulation solutions on-site.

PhysicsX United Kingdom

On-site Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX United Kingdom

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable machine learning systems within high-stakes defence projects. You'll act as a technical authority, solving cross-cutting challenges, shaping architectural strategy, and mentoring engineering teams. The work combines advanced AI innovation with real-world deployment in secure, mission-critical environments.

Faculty London, United Kingdom

Hybrid Permanent