Artificial Intelligence Jobs

• Germany
• Hybrid
• Permanent

Land and expand enterprise logos of 1,000–20,000 employees across the DACH region, driving ARR through direct and teamed prospecting, product demos and accurate quarterly forecasting. Works closely with Customer Success on adoption, retention and expansion, using value-driven methodologies such as MEDDPICC. Requires native-level German and a track record selling to DACH enterprises.

AI Video

• London
• Remote
• Senior
• Permanent

Lead design for AI-native, agentic Sessions surfaces where employees learn through conversation and AI acts as a direct participant in work. As a senior IC, you set direction, influence roadmap bets with Product and Engineering, and prototype novel conversational and agentic interaction patterns. The role focuses on trust, transparency and user control in AI-driven workflows.

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Partner with machine learning researchers to build predictive toxicology models and manage CRO relationships for outsourced wet-lab data generation, while mentoring junior scientists.

KNIME · Python

• 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
• Senior

Builds and maintains a high-performance, fault-tolerant production backbone network spanning multiple cloud providers, covering IP and optical technologies that connect data centres and edge sites. Owns improvement initiatives from funding and planning through implementation, drives capacity forecasting, and participates in a 24x7 on-call rotation.

AWS · GCP · OCI +7

• United States
• Remote
• US$120,000 – US$185,000 pa
• Mid-level

Builds and operates core systems for the Falcon Complete team, developing features that help security analysts triage and remediate threats at scale. Work spans Golang, microservices, Kafka, Kubernetes and cloud-native tooling, with on-call rotations and heavy async collaboration across a US/UK distributed team.

AWS · Azure · GCP +7

• London
• Lead
• Permanent

A senior professorial appointment leading the AI+ portfolio on learning, teaching and assessment, working through the King's Institute for Artificial Intelligence to connect nine faculties and shape institutional education strategy. The role combines strategic leadership with the professor's own research portfolio on AI in education, advising senior leaders and championing responsible AI integration.

• London
• Lead
• Permanent

A senior professorial appointment leading the AI+ portfolio on education, community and innovation, working through the King's Institute for AI to connect nine faculties. The role drives responsible integration of AI into teaching, learning, assessment and community engagement, while shaping institutional strategy alongside the Vice President (Education & Student Success) and maintaining a personal research portfolio.

• Singapore

Build and deploy customer-facing applications powered by physics AI models, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, Python/FastAPI microservices, and cloud deployment with Kubernetes, Terraform and AWS/Azure, plus quarterly travel to customer sites.

FastAPI · Helm · Kubernetes +3

• 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

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

Blends reinforcement learning research with engineering, building and scaling RL infrastructure, training environments and evaluations for large language models. Work spans agentic tool use, code generation, reasoning and distributed GPU training, with close collaboration across research, alignment and production teams.

PyTorch · TensorFlow · JAX +3

• 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

• London
• Senior

Sets standards for responsible AI, model governance and production MLOps across a public sector team, and builds or validates the highest-risk parts of strategic AI systems. Acts as senior technical partner to client leadership, coaches engineers and leads resolution of severe model safety or data integrity incidents. Requires deep experience with regulated, sovereign or on-premise deployment and auditability.

• London
• Senior

Own the AI behaviour of production systems for public sector clients, covering agents, model integration, evaluation design and the backend services they run on. Lead delivery for a workstream, act as the technical client contact on live-data performance, and mentor other engineers.

• Aberdeen
• £61,165 – £68,817 pa
• Senior
• Permanent

The postholder will lead the integration of AI and digital technologies across undergraduate and postgraduate healthcare and medical sciences programmes, working with programme teams, the University's AI Lab and the Centre for Academic Development. Responsibilities span curriculum development, teaching, educational scholarship and interdisciplinary collaboration, helping students grasp the opportunities, limitations and ethical, legal and societal implications of AI in clinical practice and biomedical research.