Artificial Intelligence Jobs

Faculty · Remote (UK)

Lead the technical direction and delivery of complex, high-risk AI projects for defence clients, balancing deep ML engineering with team leadership. You'll design scalable ML systems, set architecture, build shared libraries, mentor engineers, and work on-site with customers 2-4 days a week, with the rest remote or from the London office.

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.

Capital One · Lincoln

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role involves setting technical direction, mentoring junior team members, and driving prototypes through to production in collaboration with business stakeholders.

Capital One · Nottingham

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Bridges R&D and production, prioritising initiatives with stakeholders and mentoring junior team members.

MFK Recruitment · Brentford · £70,000 – £95,000 pa

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.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Involves dataset preparation, model evaluation, performance tuning for accuracy and inference speed, automated testing and debugging of vision pipelines. Hybrid or remote, with a path to lead an AI team.

Adria Solutions · Huddersfield · £55,000 – £65,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers dataset preparation, model evaluation, performance tuning and automated testing, with a focus on accuracy, inference speed and maintainable code.

University of Surrey · Guildford · £21,805 pa

Develops next-generation federated machine unlearning algorithms that deliver verifiable, robust erasure without harming model performance or participant privacy. Research spans certified unlearning with formal guarantees, robustness to adversarial relearning, federated-specific benchmarks, and scalable unlearning for foundation models, supervised by Dr Pedro Porto Buarque de Gusmao and Dr Frank Guerin.

Latent Labs · London

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 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.

M4 Partners · Stratford-upon-Avon

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform, taking ideas from business requirements through experimentation, evaluation and deployment. Focus on producing reliable structured JSON outputs, AI workflows for extraction, classification, retrieval and summarisation, plus evaluation datasets, monitoring and API integration with developers.

eFinancialCareers · London

Research and develop machine learning-driven alpha signals and systematic trading strategies within a systematic hedge fund. Apply deep learning, probabilistic and time-series modelling to large, noisy financial datasets, running rigorous backtesting and out-of-sample validation. Work with quantitative researchers, portfolio managers and engineers to turn research into production-ready strategies, with substantial research ownership.

Isomorphic Labs · London

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

Isomorphic Labs · London

Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards with Data Engineering, and manage vendor governance, budgets and a team of CRO Scientific Leads, Operations Managers and Compound Managers.

University of Surrey · Guildford · £21,805 pa

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.