Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Hands-on in vitro pharmacologist designing and running biochemical, biophysical and cellular assays for novel modalities, generating ML-ready datasets that both advance drug programmes and improve predictive models. Works closely with ML and computational colleagues, using LLM agentic workflows and in silico hypothesis building, and coordinates wet-lab studies across CRO partners.

SPR · GCI · nanoDSF +7

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. The role follows a hybrid model requiring three days a week in the London office.

AlphaFold

• New York, United States
• US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.

FastAPI · Helm · Kubernetes +3

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Lead
• Permanent

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

Metaview

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop the next generation of large language models, working at the intersection of research and engineering. You'll lead small research projects, design and analyse experiments on model architecture, algorithms, data processing and optimizers, and scale distributed training infrastructure across thousands of GPUs.

PyTorch · Kubernetes · GPUs

• 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

• Leicester
• £40,704 pa
• Mid-level
• Contract

Lead the AI development strand of a UKRI-funded project building a physics-informed forecasting system for chemical fugitive emissions. You will construct a multi-modal training dataset and design, train and evaluate a Receptor Transfer Function Learner using generative AI downscaling, graph neural networks and explainable AI, working with environmental, meteorological and community data on GPU and HPC facilities.

PyTorch · TensorFlow · JAX +5

• London
• £76,800 – £115,200 pa
• Senior

Designs, benchmarks and optimises deep learning models for computer vision and surgical video analysis, focusing on low-latency inference on edge and cloud devices. Works with PyTorch, TensorRT and video pipelines alongside ML, platform and embedded engineers in a fast-prototyping team.

PyTorch · TensorRT · NumPy +6

• Cambridge
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated documentation such as protocols, clinical study reports and SAPs, and runs model evaluation and quality testing. Requires Python, SQL, LLM, prompt engineering and RAG familiarity.

GenAI · LLM · RAG

• London
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated clinical trial documentation such as protocols, study reports and SAPs, and evaluates model accuracy, relevance and consistency. Requires Python and SQL skills plus familiarity with LLMs, prompt engineering, RAG and cloud platforms.

GenAI · LLM · RAG

• Chelmsford
• Director · manages people
• Permanent

Lead a globally distributed software organisation across the UK, Europe and Asia, unifying teams from different histories and skill sets into one engineering culture. Balance customer-specific solutions with strategic roadmap delivery and architectural modernisation, while driving AI adoption both in how software is built and in what ships to customers. Own engineering budgets, staffing plans and vendor relationships, reporting to senior leadership.

• Colchester
• Director · manages people

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

AI · Machine Learning · Computer Vision +1

• London
• On-site
• Entry level
• Permanent

Builds and maintains scalable training and inference pipelines for biological foundation models such as Transformers and SSMs, optimising latency and throughput. Works with researchers and product engineers to turn notebooks into production systems, owning ML infrastructure like data loading, distributed compute and experiment tracking while prototyping post-training methods.