Artificial Intelligence Jobs

7 jobs for “neural network”

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Engineering Manager - AI Defence Product (dominAI)

4 days ago

Hadean London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Hybrid Permanent Clearance Required

PhD in Physics-Aware Graph Neural Networks for Robust Short-Term Visibility Forecasting

4 days ago

University of Exeter Penryn £21,805 pa

Develops physics-aware spatio-temporal graph neural networks for 0–6-hour visibility forecasting, focusing on low-visibility events in southeast England. The work spans six packages, from benchmarking NWP and ML baselines to linking learned representations with atmospheric physics, testing robustness to degraded observations, and operational evaluation with Met Office scientists.

On-site Contract

PhD Studentship: AI-Enabled Smart Spectroscopy Pixels: Revealing Microbial Responses to Antibiotics

3 days ago

University of Exeter Exeter £21,805 pa

Develop intelligent spectroscopy pixels that combine quantum photodetectors, microfluidics and neural networks to study how individual bacteria respond to antibiotics. The work spans sensor materials, optical and electronic interfaces, and learning algorithms, validated against microscopy, growth and viability measurements.

Contract

AI/ML Postdoctoral Fellow - F Rouhani Lab

Last month

The Francis Crick Institute London £47,500 pa

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

On-site Contract

Computer Vision AI Data Scientist for eSports (KTP Associate)

Last week

University of Essex Milton Keynes £41,950 pa

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns. A KTP partnership between the University of Essex and Sports Information Services Ltd.

Hybrid Contract

Machine Learning Software Engineer (KTP Associate)

Last month

University of Essex Ipswich £40,000 – £45,000 pa

A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability. It blends hands-on Python development with change management, communication and academic paper contributions.

On-site Contract

Get new neural network roles by email. One email a morning when new roles match. Stop any time. Alerts don't use filters, so you'll hear about every role for this search, not just Contract, Entry level.

PhD Studentship: Next-generation machine learning for genetic interaction prediction with lab-in the-loop validation in pancreatic cancer

3 days ago

University of Exeter Exeter £21,805 pa

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability. The purely computational project feeds a lab-in-the-loop cycle with pancreatic cancer screens from the AstraZeneca and Cancer Research Horizons Functional Genomics Centre, with results released as open-source software.

Contract

PhD in Explainable AI for Early Dementia Detection and Deployment

4 days ago

University of Exeter Exeter £21,805 pa

Develops explainable, trustworthy machine-learning models for early dementia detection, integrating multimodal data such as neuroimaging, cognitive assessments, genetics and biomarkers. Uses latent knowledge-enhanced representations, vision-language agentic frameworks and uncertainty quantification, with clinician evaluation of bias and fairness. Validated through a longitudinal multimodal prediction and explanation system.

On-site Contract