Artificial Intelligence Jobs

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Designs and leads in vitro and cellular pharmacology strategies for small-molecule drug discovery programmes, defining screening cascades and overseeing biophysical, biochemical and cell-based assays. Works closely with AI/ML, medicinal chemistry, structural biology and in vivo teams, and manages external CRO activities to link computational predictions with laboratory validation. Some roles include line management of 2-3 scientists.

SPR · ITC

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

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.

Machine Learning · AlphaFold

• Manchester
• Remote
• £80,000 – £90,000 pa
• Lead · manages people

Hands-on full stack lead role guiding a small development team across a portfolio of applications, setting engineering standards and shaping delivery. Works with C#, .NET, Python, Azure PaaS, SharePoint and React, collaborating with Product and Architecture, with an AI-native edge using GenAI tooling. Mainly remote with occasional Manchester office visits.

Azure Functions · Azure Logic Apps · Cosmos DB +7

• South Yorkshire
• Remote
• £80,000 – £90,000 pa
• Lead · manages people

Hands-on full stack lead role guiding a small development team across a portfolio of applications, setting engineering standards while collaborating with Product, Architecture and wider technical groups. Work spans C#, .NET, Python, Azure PaaS, SharePoint and React, with an AI edge including GenAI tooling and taking experiments through to production-grade solutions.

Azure · .NET · C# +12

• London
• Entry level
• Internship

Interns own real, shipped work on the same roadmaps as full-time engineers, building agentic AI applications, evaluation infrastructure, data pipelines and fraud-detection systems for Scale's Global Public Sector team. Work spans Python, TypeScript, React and MongoDB, with mentorship and a strong ownership culture.

Python · TypeScript · React +2

• London
• Senior

Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.

Python · Node.js · React +4

• United Kingdom
• Remote
• Lead

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. Also involves hunting threat actors in large data sets, cloud IR in AWS, Azure or GCP, and producing reports for customers, regulators and legal counsel.

CrowdStrike · AWS · Azure +6

• Ireland
• Remote
• Senior · manages people

Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into technical objectives and driving research into production ML systems. The role combines people leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

AWS · Linux

• London
• Hybrid
• Mid-level
• Permanent

Owns the full design process for AI-powered enterprise workflows, from user research and workshops through wireframes, flows and high-fidelity Figma prototypes. Partners with product managers, engineers and legal experts, validating designs with users and signing off on UX before release while maintaining the design system and accessibility standards.

Figma · Lovable

• Cambridge
• Senior

Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• Hybrid
• Mid-level
• Permanent

Owns the roadmap and acts as the expert voice for a product area within a Legal AI platform, translating challenges from legal, compliance, procurement and finance teams into scalable AI-powered workflows. Leads kick-off and playback sessions with AI engineers, designers and legal experts, and uses tools like Lovable and Figma to prototype and validate designs before build.

Lovable · Figma

• United Kingdom
• Remote
• Senior
• Permanent

Builds and scales products on top of FinLLM and other LLMs, engineering event-driven microservices, APIs, cloud-native AWS systems and React front-ends that bring AI into real financial workflows. Works closely with product and PhD-level AI specialists, using Node.js, TypeScript, NestJS and AI coding assistants in a remote-first team.

Node.js · TypeScript · React +11

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

Kubernetes · AWS · Azure +6

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Mentor engineers and data scientists while travelling to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3