Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with AI/ML drug design platform teams in a hybrid London setting.

R · Python · KNIME

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining cloud infrastructure across research, development and production. Work spans GCP, Kubernetes, Docker, Terraform and Kapitan, plus CI/CD, observability and tooling, partnering with scientists, ML researchers and product teams. Reports to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• London
• Hybrid
• Senior
• Permanent

Builds high-quality Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability across thousands of GPUs. Partners closely with ML teams to turn complex requirements into stable, reusable APIs, leading projects end to end while raising engineering standards.

PyTorch · TensorFlow · Azure +3

• London
• £37,000 – £40,000 pa
• Entry level

Join a two-year graduate programme in the telecommunications industry, developing and implementing AI and machine learning solutions for network performance, operational efficiency and customer experience. You will work with Python and AI frameworks, analyse large datasets, and collaborate with engineers and data specialists while considering AI ethics and governance.

Python

• Liverpool
• £40,704 – £46,970 pa
• Entry level
• Contract

Conducts research on robustness, verification, evaluation and monitoring of Generative and Agentic AI systems, developing methods that provide formal or statistical guarantees. Focus areas include rare-event risk assessment, probabilistic reasoning, AI safety and alignment, and runtime monitoring, within an interdisciplinary team spanning machine learning, formal methods and statistics.

NeurIPS · ICML · ICLR +6

• London
• Hybrid
• Senior · manages people
• Permanent

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data and large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• Munich - Berlin - London - Paris

Work at the intersection of machine learning and signal processing on RF data, building models that detect, classify and reason about signals in congested, contested spectrum for electronic warfare systems. Own problems end-to-end, from reading literature and prototyping on real recorded data to pushing models to edge hardware under hard latency and compute budgets, in a small research team alongside RF and hardware engineers.

ONNX · TensorRT

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

AWS · GCP · Ocado Smart Platform

• Bristol
• On-site
• £50,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.

Python · MATLAB · Simulink +1

• London
• Hybrid · 3 days in office
• £90,000 – £95,000 pa
• Senior

Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.

Azure · AWS · Azure ML +4

• Reading
• £120,000 – £140,000 pa
• Director · manages people
• Permanent

Hands-on engineering leadership role in a technology consultancy serving National Security & Defence, blending people management with technical ownership. You'll lead a multidisciplinary software, platform and DevOps team, define architecture and standards across cloud-native, AI/ML and MLOps platforms, and oversee production delivery into customer environments. Distinct for requiring SC or DV clearance and defence experience while remaining close to the technology.

AWS · Azure · GCP +4

• Butterrow
• £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Works in a small team owning the full SDLC from clean-sheet design to tested, deployed code.

Spark · dbt · CI/CD +1

• Welwyn Garden City
• Hybrid
• £566 – £641 pd
• Senior
• Contract

Lead the technical design of AI agents, assistants and smart dashboards for a pharmaceutical Business Strategy & Operations team, building LLM-based tools with RAG, vector search and integrations to business systems. Set coding standards, mentor engineers and ensure GxP compliance with audit trails and human checks, working in Python, R, R Shiny, SQL, Snowflake and AWS.

Claude · OpenAI · Snowflake +4

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

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.

STGNNs · NWP

• Lyngby, Denmark
• Entry level
• Permanent

Develop and apply AI and computer vision methods for Electronic Monitoring, automated catch documentation and digital fisheries monitoring, moving beyond proof-of-concept to robust operational systems. Work with fisheries scientists, engineers and data scientists, and teach in the Fiskeriteknologi programme in Sisimiut, Greenland.

Electronic Monitoring