526 jobs for “data architect”
Delivery-focused role embedding physics-aware AI models into customer tools, building reliable ML data pipelines and working with 3D point-cloud and mesh data. Spans data science and software engineering, translating R&D into reusable libraries and products, with regular on-site customer travel.
TensorFlow · MLflow · Spark +6
Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.
TensorFlow · MLflow · Spark +6
Wayve · 11–50 people · Series A
Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.
PyTorch · TensorRT · GitHub Actions +1
Cambridge Consultants
Senior technical authority architecting algorithmic solutions for intelligent systems, spanning machine learning, applied statistics and sensor processing. Leads complex defence and security projects, sets technical direction, mentors engineers and shapes proposals with clients. Hybrid working, though some projects require full-time office presence.
Reinforcement Learning · Machine Vision · Edge Computing +1
Cambridge Consultants
This role involves leading the design and development of custom RF communication systems for defence and national security applications, including low-power, long-range, and software-defined radio solutions. The individual will act as a technical expert, guiding projects from concept through to deployment while collaborating closely with clients and multidisciplinary teams. Key focus areas include radio system design, propagation, and protocol development, with frequent UK travel and client engagement required.
Latent Labs
Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.
University of Southampton · 501–1000 people · University
Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.
PyTorch · TensorFlow · JAX +2
Wayve · 11–50 people · Series A
Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and OEM partner relationships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.
NVIDIA Jetson · NVIDIA DRIVE · QNX +4
Leads delivery of custom agentic AI solutions for enterprise customers, owning engagements from SOW through production deployment. Drives delivery plans, product scoping, stakeholder relationships and ROI measurement while pressure-testing technical decisions alongside Forward Deployed Engineers. Involves up to 25-50% travel and building repeatable delivery patterns for an emerging function.
Amazon · Public
Builds and extends a data and ML platform that lets economists run analyses independently, automating pipelines and tooling with DBT, Python, Airflow, Spark, Iceberg and AWS services like Lambda, Bedrock and SageMaker. Works in a lean, no-on-call team without stand-ups or sprints, shaping technical direction for pricing, selection and delivery-speed projects.
DBT · Apache Airflow · Spark +6
Luminance · 51–200 people · Series C
Builds AI prototypes combining multiple components to solve complex, nuanced tasks, integrating novel agentic technologies such as memory usage and personalisation. Productionises solutions into reusable libraries and frameworks, shipping features and tools for large enterprise customers from day one. Works with LLMs like GPT, Claude and Mistral in a fast-moving, quality-focused team.
GPT · Claude · Mistral
OpenAI
Join OpenAI's Training team in London to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. The role involves designing and scaling new architectures, running experiments, debugging regressions, and optimizing model and computational performance, with a hybrid schedule of three days in the office per week.
MFK Recruitment
Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.
Nordson
Lead and unify a globally distributed software engineering organisation across the UK, Germany, India and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in inspection products.
OpenAI
Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.
OpenAI · Codex · Model APIs
