Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large-molecule biologics, designing in vivo efficacy and complex in vitro functional assays and acting as Biology Lead on discovery projects. Coordinate internal workflows and external CROs to drive go/no-go decisions, while feeding pharmacology data back into generative AI design loops with ML and computational biology teams.

Machine Learning · AI · Computational Biology +1

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues without line-management duties.

AlphaFold

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

Develops a physics-informed AI framework to design and optimise alternative cooling mechanisms and refrigeration cycles, integrating thermodynamic modelling, machine learning and multi-objective optimisation. Experimental work validates selected combinations, with scope to balance computational and lab effort. Based in the School of Chemical Engineering alongside sustainable cooling and energy storage research centres.

• London
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, MLOps infrastructure and scientific compute environments for machine learning and drug discovery. Set architectural strategy, mature CI/CD and observability, and own platform security and data governance for sensitive patient-derived data, reporting to the VP of Engineering.

Kubernetes · Kubeflow · AWS +4

• Bristol
• £44,746 – £58,225 pa
• Permanent

The postholder will contribute to world-leading AI research and develop and deliver education programmes, including a new undergraduate degree in Computer Science with AI. The School is particularly interested in candidates with strengths in Multi-Modal AI and Computer Vision, and the role involves publishing in top venues and applying for external funding.

Isambard AI

• Huddersfield
• Hybrid
• £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 the full lifecycle from dataset preparation and model evaluation to testing, performance tuning and deployment, with a focus on accuracy, inference speed and maintainable code.

OpenCV · PyTorch · TensorFlow +4

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You will build data pipelines, models and analytical frameworks supporting AI and machine learning initiatives, translate business requirements into technical solutions, and present findings to stakeholders while potentially mentoring learners and junior team members.

Python · SQL

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Databricks · MLflow · LangChain +5

• Filton
• £45,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms within a specialist team, applying AI and deep learning to segmentation, object detection, tracking and classification. Work spans optical flow, pose estimation, particle filtering and computational imaging using MATLAB, Simulink and Python with PyTorch, collaborating with multidisciplinary engineers to turn research into practical applications.

MATLAB · Simulink · Python +1

• London
• Hybrid · 3 days in office
• £80,000 – £85,000 pa
• Mid-level

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

LLMs · Orchestration Frameworks

• London
• Hybrid
• £105,000 – £120,000 pa
• Lead

Hands-on technical leadership role driving the design, development and deployment of AI, Machine Learning and Generative AI solutions, including LLMs and agentic AI. Partners with business and technology stakeholders to identify high-value use cases, prototype rapidly and take solutions through to production, while shaping the AI technical roadmap and engineering best practices.

Azure · AWS · GCP +2

• United States
• Remote
• US$180,000 – US$190,000 pa
• Lead

Lead the design, deployment and monitoring of statistical and machine learning models that power personalised learning experiences for a global EdTech platform. Establish model governance and validation practices, mentor senior data scientists, and shape AI/ML strategy including future generative AI and LLM work.

Python · SQL

• London
• On-site
• Senior
• Permanent

Process and QC paired single-cell RNA-seq and scATAC-seq at scale, building Nextflow pipelines for custom combinatorial indexing chemistries and integrating multimodal datasets for GPU-accelerated model training. Partner with wet lab scientists and ML modellers to design evaluation frameworks that test whether models capture meaningful biology.

STARsolo · Alevin-fry · Chromap +7

• Exeter
• £21,805 pa
• Entry level
• Contract

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.

OCTA · CCM · OCT

• London
• Hybrid
• Senior

Architects, deploys and supports machine learning and GenAI infrastructure on AWS, building CI/CD pipelines and turning data science models into production systems. Works within an AI Enablement team using Terraform, Jenkins, Kubernetes and SageMaker, with a focus on auditability, versioning and data security while liaising with clients on requirements.

AWS · Terraform · Jenkins +7