Artificial Intelligence Jobs

Isomorphic Labs · Cambridge, United States

Designs and implements translational strategies for small molecule programmes, overseeing in vitro/in vivo pharmacology, PK/PD and safety studies from early discovery through candidate selection and clinical phase. Manages external CRO networks and acts as the bridge between ML/computational predictions and laboratory validation, with some roles line-managing 2-3 in vivo pharmacologists.

CrowdStrike · Spain

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.

CrowdStrike · Ireland

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.

Darktrace · London

Works at the intersection of security engineering and generative AI, researching, prototyping and shaping agentic workflows within the Darktrace product ecosystem. Combines deep product knowledge across Network, Email, Cloud and Endpoint with cross-functional collaboration across product, engineering and ML teams, in an open-ended, research-driven role.

Darktrace · Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

Medtronic · London · £100,000 – £150,000 pa

Leads global cross-functional teams to design, implement and commercialise digital, electro-mechanical and robotic medical devices, managing multiple complex hardware and embedded software programmes from initiation through delivery. Oversees risk, requirements management and lifecycle activities, reporting progress and mitigation strategies to executive leaders within a regulated, safety-critical R&D environment.

Medtronic · London · £76,800 – £115,200 pa

Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.

Entrust · Lisbon, Portugal

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

Entrust · United States - Field

Defines and governs a four-plane reference architecture (Identity, Authority, Execution, Assurance) for an agentic trust layer, owning agent identity, delegated authorization, evidence ledgers and policy engines. Acts as design authority and architecture gate across product lines, chairs review boards and represents the company in standards bodies.

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.

Databricks · London

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and GenAI workloads on the Databricks platform. The role spans RAG architectures, agentic systems, MLOps lifecycle management, and cloud-native integration, while mentoring colleagues and influencing the product roadmap. It combines deep hands-on engineering with customer-facing technical sales support.

Databricks · London

Expert-level technical leader owning the most complex enterprise data and AI engagements for banking and financial services customers. Drives consumption strategy, executive relationships and multi-workload architecture across lakehouse, streaming and ML platforms, while mentoring junior architects and leading competitive displacements.

OpenAI · London

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and handoff. Works with government agencies, systems integrators and cloud providers on data residency, sovereign and regulated deployments, building prototypes on model APIs and Codex while feeding insights back to Product and Research.

Amazon · London

Owns the education-specific generative AI go-to-market for AWS, building co-sell strategies with model providers and leading Innovation Acceleration engagements for EdTech firms, universities and education ministries. Engages senior leaders such as founders, presidents, CIOs and government officials to drive net-new GenAI workloads on Amazon Bedrock, working with Solutions Architects, the GenAI Innovation Center and partner teams. Requires 25-35% travel and global customer coverage.