Artificial Intelligence Jobs

• 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

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Guides development of an AI predictive toxicology platform with ML researchers and manages CRO relationships, as all wet-lab work is outsourced.

AI/ML

• 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

• Ireland
• 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. Sets technical standards and strategy for ML development, deployment and monitoring, while staying hands-on with Python, big data and cloud infrastructure.

AWS · Linux

• Singapore
• Lead · manages people

Lead technical delivery of physics-informed AI, architecting deep learning models and optimisation methods to predict and control physical systems. Own data pipelines and pre-processing best practices while mentoring a team and collaborating with simulation engineers and customers. Involves frequent on-site customer travel across multiple regions.

NumPy · SciPy · Pandas +2

• Singapore
• Lead

Lead the deployment of ML models and engineering surrogates—deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, and optimisation—into customer production environments. Own scoping, architecture, and success metrics for data/ML systems built with Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow across cloud and on-prem. Mentor engineers and data scientists while travelling 3-4 weeks per quarter to customer sites worldwide.

Python · PyTorch · Pandas +3

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Hybrid
• £190,000 – £230,000 pa
• Director · manages people

Lead a team of Technical Deployment Leads embedded with strategic enterprise customers across EMEA, owning portfolio health, delivery strategy and executive relationships. Player-coach role: hire and manage TDLs, run engagement quality reviews, and personally lead the most complex deployments from SOW through production. Partners with Sales, Legal and Product to scale AI delivery playbooks.

Claude

• Cambridge
• Hybrid · 2–3 days in office
• Mid-level

Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes · GPU +1

• London
• Hybrid · 2–3 days in office
• Senior

Join the Modelling Team to train large self-supervised and transformer-based speech models, deploying them into production with strong software engineering and model-serving practices. Work on complex R&D projects, optimise inference, and mentor engineers in a hybrid London setup.

GQA · KV-caching · Flash Attention +2

• London
• Hybrid
• Mid-level
• Permanent

Prospect new accounts and pitch for business while owning and growing relationships with large international clients. The role involves product demonstrations, developing strategies to expand usage within client organisations, and international travel to events and customer meetings. Suits candidates comfortable in a meritocratic, fast-tracked sales environment.

• Cambridge
• Hybrid
• Permanent

Designs and develops the core AI platform, building large-scale Python codebases and web-hosted services that power the company's software architecture. Works across the Python ecosystem, including Flask, Requests, NumPy and PyTorch, with scope to lead technical direction or teams. Open to graduates as well as experienced engineers.

Python · Flask · Requests +2

• Birmingham
• Hybrid
• £59,816 – £84,911 pa
• Lead
• Permanent

Lead the technical delivery of AI solutions across the full product lifecycle, from design and deployment to monitoring and assurance, including classical ML and agentic/LLM-based systems. Work in a government AI and data science team, writing production Python code, running CI/CD pipelines with Terraform on GCP, and building evaluation frameworks to measure model performance.

GCP · AWS · Terraform +3

• London
• Hybrid
• Senior
• Permanent

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

Kubernetes · Argo CD · Flux +2

• London
• Hybrid
• Lead
• Permanent

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, developing calibration, registration, temporal alignment and motion compensation methods. Blends algorithm research with production deployment in C++/Python, providing technical leadership and mentorship across the 3D sensing stack.

GTSAM · Ceres Solver · g2o +1