Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Isomorphic Labs · Cambridge, United States

Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work within an AI-first preclinical team, shaping ADME predictive models and authoring regulatory documents to advance candidates toward first-in-human trials.

Isomorphic Labs · Cambridge, United States

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.

CrowdStrike · United Kingdom

Lead incident response engagements, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux, plus basic malware analysis. Produce written and verbal reports for customer management, regulators and legal counsel, and develop new methods to hunt bad actors across large data sets.

CrowdStrike · United Kingdom

Serve as technical lead on front-page incident response engagements for Fortune 100 organisations, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux. The role also involves cloud incident response, malware analysis and delivering findings to executives, regulators and legal teams.

Darktrace · London

Deploys, integrates and optimises AI-driven security technology across network, cloud, OT and email environments for post-sales customers. Handles deployment projects against SLOs, resolves support tickets and acts as a trusted advisor on security infrastructure design, liaising with sales, customer success and operations.

Darktrace · Cambridge

You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.

dunnhumby · London

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so Client Success teams can deliver value. Defines propositions and frameworks across products and tools, connects stakeholder needs to business priorities, and champions adoption of AI and emerging technologies.

Medtronic · London · £95,200 – £142,800 pa

Builds and maintains the internal platform tooling that other engineering teams rely on, spanning Infrastructure as Code with OpenTofu, EKS and Helm, CI/CD automation, and observability with OpenTelemetry. Works across software groups to remove developer productivity gaps and supports AI agentic workflows, with technical mentorship expected. Based in London with two to three days a week in the office.

Experis · London · £70,000 – £110,000 pa

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance and security compliance across LLM, RAG and MLOps workstreams.

eFinancialCareers · London

Six-month interim role leading hands-on AI innovation inside a payments business, reviewing market AI products, prototyping agents and LLM-based tools, and shipping 2-3 solutions with measurable before/after results across customer service, operations, fraud, reconciliation and engineering. Reports directly to the Global AI Lead with full autonomy and a real experimentation budget, bringing ideas from outside payments.

Helical · London

Provide scientific leadership across model evaluation and applied use cases, ensuring foundation models stay grounded in drug development and translational research challenges. Act as a key scientific partner to the research team, mentor junior colleagues, and work with Product and Business Development to turn biology and ML into customer-facing deliverables.

Helsing · Berlin, Germany

Integrates state-of-the-art AI and software into complex customer systems, working directly with avionics engineers and partners to understand unfamiliar data structures, APIs and network protocols, then building adapters to connect them to Helsing's cloud infrastructure. Owns delivery end-to-end, from formalising requirements and fixing bugs to shipping features and running technology demonstrations in simulations or on real systems.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

PhysicsX · Singapore

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.

PhysicsX · Singapore

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.