Artificial Intelligence Jobs

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• United Kingdom
• Remote
• Lead · manages people

Lead a team of three data scientists at the intersection of machine learning, big data and cybersecurity, setting technical standards and driving strategy for threat detection and agentic AI systems. Work spans research through production deployment, using CrowdStrike's large-scale behavioural and malware data, while mentoring the team and partnering with security research, engineering and product.

AWS · Linux

• Spain
• Remote
• Lead · manages people

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Owns technical strategy, roadmaps and production deployment while mentoring staff and partnering with security research, engineering and product teams.

AWS · Linux

• London
• Hybrid · 3 days in office
• Lead

Lead formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with external CROs alongside AI/ML drug design teams.

ASAP

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, collaborating with research teams to turn new methods into production-ready systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• 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

• Singapore
• Hybrid
• Senior

Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.

PyTorch · JAX · NumPy +7

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

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

A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.

Drone

• London
• Senior

Owns the technical delivery of AI initiatives end to end, from architecture and solution design to building, evaluating and deploying into production. The first project is the Clinical Brain, a Class II medical device combining NLP, LLMs and machine learning with deterministic components, requiring traceable, explainable outputs and rigorous evaluation pipelines.

AWS · GCP · Azure +7

• London
• Senior

Owns end-to-end delivery of AI initiatives, starting with the Clinical Brain, a Class II medical device combining an AI layer with deterministic components. Works with clinical, quality and data teams on NLP, LLM and knowledge-graph solutions, plus rigorous evaluation, golden datasets and regulatory evidence. Also leads projects such as AI medical note taking, contact-centre AI and self-hosted LLM benchmarking.

Neo4j · Cypher · GraphRAG +5

• London
• Hybrid · 3 days in office
• £95,000 – £105,000 pa

Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps +2

• London
• £80,000 – £85,000 pa

Evaluate LLM and RAG outputs for accuracy, groundedness and hallucinations, building scoring frameworks, datasets and KPIs. Use SQL and Python to investigate failures, measure model and retrieval changes, and design experiments, working with AI engineers and product managers to turn findings into product improvements.

LLM · RAG · Generative AI

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• London
• Hybrid
• Senior
• Permanent

Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.

React · JavaScript · TypeScript +7