Artificial Intelligence Jobs

Faculty · London

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead who bridges technical AI research and operational mission needs. The role involves building trusted relationships with government partners, writing proposals and responding to RFPs to unlock new AI use cases, and mentoring multidisciplinary teams. Distinct for its focus on high-stakes national security and AI safety work, with eligibility for UK Developed Vetting and occasional on-site client work.

Faculty · London

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

PhysicsX · New York, United States · US$200,000 – US$250,000 pa

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.

NVIDIA · Reading

Technical account manager role focused on a small set of strategic software companies, driving integration of NVIDIA's AI platform, open models, SDKs and NIMs into partner products. Involves hands-on work with agentic AI systems and GPU-accelerated computing, plus developer advocacy, ecosystem mapping and representing NVIDIA at industry events.

Relation Therapeutics · London

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

University of Exeter · Exeter · £21,805 pa

Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.

University of Exeter · Exeter · £21,805 pa

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

NVIDIA · United Kingdom

You will own a small portfolio of strategic software companies, acting as their trusted technical advisor to integrate NVIDIA's AI platform, open models, SDKs and NIMs into their products. The role blends hands-on agentic AI and GPU-computing depth with developer advocacy, ecosystem mapping and commercial storytelling to engineering and C-suite audiences.

AECOM · London

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

AECOM · London

Owns the roadmap and delivery of AI products for transportation, working with engineers, planners, ML/RL researchers and software engineers. Spends time with transportation teams and clients to find where cost, time and uncertainty concentrate, then translates that into technically grounded requirements. Tests products on live projects and scales successful prototypes across AECOM globally.

Amtis Professional · Birmingham · £80,000 – £90,000 pa

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

Entrust · United States - Field

Defines and governs a four-plane reference architecture (Identity, Authority, Execution, Assurance) for an agentic trust layer, owning agent identity, delegated authorization, evidence ledgers and policy engines. Acts as design authority and architecture gate across product lines, chairs review boards and represents the company in standards bodies.

Tenth Revolution Group · London · £80,000 – £90,000 pa

This role involves designing and scaling Azure Databricks-based data platforms, building robust data pipelines, and developing AI and LLM-powered capabilities. You will work closely with Product, Engineering, and Business stakeholders to deliver data products that support commercial decision-making and optimize cloud environments for performance and cost.

NES Group Ltd · London

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable entity-resolution framework. Requires record linkage, fuzzy matching, MLOps, feature stores and MDM experience.