Artificial Intelligence Jobs

• New York, United States
• Hybrid
• US$200,000 – US$250,000 pa
• Senior

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.

Python · PyTorch · Pandas +3

• Singapore
• Hybrid
• Lead

Develops high-fidelity multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches. Owns the full simulation pipeline from geometry clean-up and meshing to solver setup, HPC job scheduling and experimental validation, while building parametric CAD models and AI surrogate models to support design optimisation and customer-facing delivery.

Star-CCM+ · OpenFOAM · Fluent +5

• London
• Hybrid
• Senior
• Permanent

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 and builds CI/CD tooling and observability to deliver ML systems reliably at scale.

PyTorch · TensorRT · GitHub Actions

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

• United States
• Remote
• Director

Hunter-style enterprise sales role carrying a quota and driving growth across US and Canadian retail, e-commerce and 3PL markets, closing complex deals typically worth $1M–$5M over 6–18 month cycles. Works with solutions, deployment and customer success teams, selling Ocado IQ software and AMR robotics to C-suite and operations leaders, with 40–60% travel.

Salesforce · HubSpot · Ocado Smart Platform +4

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building, deploying and supporting production-grade AI solutions in a professional services environment. Day to day involves developing AI applications, agents and automations with Microsoft technologies such as Copilot Studio and Azure AI Foundry, designing prompts and grounding strategies, and integrating AI into existing workflows. Distinct for its emphasis on real-world delivery over research or proof-of-concept work, plus close stakeholder collaboration and governance, security and compliance responsibilities.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• Windsor
• Hybrid · 1 day in office
• £550 – £600 pd
• Senior
• Contract

Hands-on contract role designing, testing and optimising production-grade LLM prompts for chatbots, voice bots, IVR and messaging channels. Involves building agentic AI workflows with tool calling and multi-step reasoning, implementing RAG and evaluation frameworks, and adding guardrails for privacy, PII and hallucination reduction. Works with engineering, product and CX teams on a major digital transformation programme.

Git · CI/CD · IVR +1

• London
• Remote
• £432 – £484 pd
• Senior
• Contract

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.

AWS · Azure · Apache Airflow

• Manchester
• £550 – £600 pd
• Contract

Contract role building and deploying production AI/ML systems, with hands-on work in Python, PyTorch and Google Cloud Platform. The engineer develops Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, then packages and serves models via Docker, KServe and Vertex AI endpoints. Responsibilities also cover MLOps practices such as CI/CD pipelines, model registries, monitoring, drift detection and GPU cost optimisation.

GCP · Docker · KServe +3

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Develops a resource-aware AI framework for 2D and 3D medical imaging that adapts computation to case complexity, clinical risk and available hardware. Investigates where unnecessary computation occurs, builds a configurable model family, and validates it on population-scale abdominal MRI (UK Biobank) and near-patient dermatology imaging, with safety assessed across patient subgroups.

UK Biobank

• Hove
• £39,000 – £45,000 pa

Designs, builds and improves digital products, web applications and AI-enabled workflows that support students and staff across a multi-campus university. Works within Digital, AI and Platform Services on integrations, APIs and automation, moving AI prototypes into production while embedding security, accessibility and privacy. Uses C#/.NET, TypeScript/JavaScript and product insight to drive continuous improvement.

.NET · C# · TypeScript +1

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. Builds scalable, reproducible research software applied to biobank-scale datasets, evaluates statistical and predictive performance, publishes findings and guides junior researchers in the Palamara Group.

• United Kingdom
• On-site
• £100,000 – £110,000 pa

Builds and maintains production-grade AI platforms, including RAG pipelines, LLM integrations and vector search, on Microsoft Azure. Owns cloud-native services, Terraform infrastructure-as-code, CI/CD and observability while improving latency and reliability of AI workloads. Works closely with AI, software engineering, DevOps and security teams in a fully onsite Manchester setting.

Microsoft Azure · Azure Data Factory · OpenSearch +2

• Midland, United States
• Hybrid
• £40,000 – £80,000 pa

You will translate operational requirements into system concepts, architectures and development plans, then support integration, verification, trials and testing of autonomous and uncrewed systems. The role spans modelling and simulation, algorithm evaluation for guidance, navigation, control and perception, plus technical documentation and risk mitigation within multidisciplinary teams and client projects.

C/C++ · Python · MATLAB +5

• London

Builds, configures and operates the platforms and services that take enterprise AI solutions from evaluation into secure, scalable production. Works across DevOps, cloud engineering and MLOps with AI specialists, data scientists and security teams, covering CI/CD, automation, monitoring, secrets management and cost optimisation in cloud and hybrid environments.

Python · Shell