Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Bridge dry-lab AI models with experimental biology, designing screening cascades and managing CRO studies to advance programs from target ID to portfolio entry.

SPR · TR-FRET · Mass Spectrometry

• Lausanne, Switzerland
• Hybrid · 3 days in office
• Senior
• Permanent

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.

JAX · PyTorch · TensorFlow +6

• London

Owns the full 0-1 design process for AI-driven products serving government and enterprise clients across the Middle East, working directly with PMs and engineers from raw concept to implementation. Requires fluent Arabic and English, and involves prototyping with AI tools like Cursor and Claude, plus data-informed design decisions.

Cursor · Claude

• London
• Senior

Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.

React · TypeScript · Next.js +7

• Reading
• On-site
• Entry level
• Internship

Six-month graduate internship in the Falcon Complete team, triaging and analysing security alerts, investigating customer inquiries, and performing basic malware analysis. Interns learn the Falcon platform and internal tooling while managing administrative tasks and presenting a project to improve security controls.

CrowdStrike Falcon

• London
• Hybrid
• Entry level
• Internship

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and tooling. The intern documents findings, builds automation for malware analysis, creates host- and network-based detection signatures, and produces threat intelligence reporting for varied audiences.

CrowdStrike · Disassemblers · Decompilers +1

• 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

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, forecasting, anomaly detection) into customer production environments, building scalable training and inference pipelines with Python, PyTorch, Kubeflow and fastAPI. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +6

• London
• Hybrid
• Permanent

Sits at the intersection of product, customers and market, working with blue-chip clients to maximise value from legal-grade AI technology and shape product innovation for a global customer base. Also acts as a company ambassador, speaking at industry conferences and partnering strategically with the leadership team.

• London
• Hybrid
• Senior
• Permanent

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

AWS

• London
• Senior
• Permanent

You will act as a trusted technical advisor to AWS customers in the Betting & Gaming industry, leading architecture reviews, white-boarding sessions, demos and workshops while managing the overall technical relationship. The role blends business acumen with hands-on guidance across AI, serverless, containers, analytics and DevOps, and involves feeding customer needs back into AWS product roadmaps.

AWS

• United Kingdom
• Remote
• Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.

NVIDIA GPU · CSP

• London
• Hybrid
• Senior
• Permanent

Builds and operates the platform running long-lived agentic workflows, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, weighted towards backend and platform in TypeScript and Node.js.

Restate · PostgreSQL · Google Cloud +7

• London
• Hybrid
• Senior
• Permanent

Builds and operates the platform running long-lived agentic workflows in production, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, with a backend and platform weighting in TypeScript and Node.js.

Restate · PostgreSQL · Google Cloud +7

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

AWS · GCP · Docker +4