Artificial Intelligence Jobs

• London
• Senior
• Contract

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.

• London
• Hybrid
• Mid-level
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.

PyTorch · SQL

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +2

• Abu Dhabi, United Arab Emirates
• Entry level
• Contract

Conducts AI and network data science research on molecular multi-omics and medical data to advance precision medicine and discover new therapeutics. Works with an interdisciplinary team on the flagship Human Phenotype Project and Emirati Genome Project datasets, designing algorithms, publishing papers, and helping supervise PhD and MSc students.

Python · TensorFlow · PyTorch +3

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

PyTorch · CUDA

• London
• Hybrid
• £165,000 – £230,000 pa
• Lead

Lead delivery of custom agentic AI solutions for enterprise customers, owning engagements from SOW through production deployment. Drive delivery plans, product scoping, stakeholder relationships and value measurement while pressure-testing technical decisions alongside Forward Deployed Engineers. Involves up to 25-50% travel to customer sites and building repeatable delivery patterns.

• Exeter
• Entry level
• Contract

A PhD studentship developing neural networks within the MaLCOM machine learning framework to move mixed layer depth prediction from a statistical baseline to temporally resolved hourly forecasts. The researcher selects geographic test sites, temporal scales and oceanographic variables, using high-resolution in-situ and Earth observation data, with training in Python, AI and operational forecasting across Exeter, PML and the Met Office.

MaLCOM

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Designs and delivers bespoke data science solutions for client projects, mapping end-to-end approaches and software architecture while acting as a technical advisor. Sets the technical bar for project teams through IC leadership, building scalable algorithms in Python with deep-learning frameworks. Involves technical scoping, feasibility assessment and translating complex problems into measurable models.

Python · NumPy · Pandas +3

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and retail partners.

BigQuery · OR-Tools · SimPy

• London
• £600 – £750 pd
• Contract

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• London
• Remote
• £600 – £650 pd
• Senior
• Contract

Design and implement enterprise-level data and AI architecture, developing advanced AI engineering models and agentic AI systems. Lead deep data engineering projects including distributed systems, applying systems thinking to complex problems while providing technical leadership across cross-functional teams. Largely remote with one day per week in London.

• Manchester
• £550 – £600 pd
• Contract

Contract data science role focused on building and evaluating AI/ML solutions on Google Cloud Platform, including classical machine learning models and LLM-based applications. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.

GCP