Artificial Intelligence Jobs

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• 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

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and data infrastructure for training and running ML models. Day to day centres on coaching and hiring engineers, owning roadmap and prioritisation, and guiding Kubernetes scheduling, capacity planning and storage decisions across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Senior
• Permanent

Build and operate a globally distributed Data Transfer Hub moving petabytes of video, LiDAR and sensor data per day between Wayve and partners such as Uber, Stellantis and Nissan. Write pipeline logic in Python, manage infrastructure with Terraform, and use Flyte, Kafka and Azure for orchestration, event-driven lifecycle tracking and storage. The small, high-autonomy team owns production reliability, observability and cost efficiency, with an out-of-hours on-call rotation once the service is established.

Flyte · Kafka · Azure +5

• London
• Entry level

New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.

Python · TypeScript · React +3

• 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
• Hybrid · 3 days in office
• Lead · manages people
• Permanent

Hands-on tech lead for Uncheck, an accounting disclosure product, owning the technical plan and delivery as it scales across customers and regions. Writes production code, reviews others' work, and leads how the team builds with AI agents, including safe review and testing of agent-written code. Mentors engineers and leads technical conversations with enterprise IT, security and architecture teams.

AWS · Python · LLMs

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Builds AI-powered GTM workflows end to end, from lead research and CRM enrichment to call analysis and lifecycle automation, connecting tools like Salesforce through webhooks, middleware and scripts. Works across Marketing, Sales, CS, Data and Finance, treating builds as production systems with monitoring and evals, and mentors others in building with AI.

Salesforce · Python · JavaScript +7

• 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 · 3 days in office
• Mid-level

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to maximize GPU/TPU utilization.

Kubernetes · Kueue · Volcano +5

• New York, United States
• Hybrid · 2 days in office
• US$171,609 – US$222,502 pa
• Permanent

Founding pre-sales role building Synthesia's North American Solutions Engineering function from scratch, shaping the playbook and tooling rather than following an established model. Partners with Account Executives, Customer Success and Product Marketing on discovery, demos, POC scoping and technical solution design across Studio, Roleplay Sessions and Interactive Avatars, covering API/SDK integrations, security and compliance topics.

SOC 2 · GDPR · LMS +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Own the entire ElevenMusic consumer music app across iOS and Android, building for musicians and creatives with high autonomy and a strong bar for product taste. Work in a small, agent-first team with very fast CI where ideas often ship the same or next day, thinking in systems as well as screens.

SwiftUI · Kotlin · Jetpack Compose +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• Germany
• Hybrid · 2–3 days in office
• Mid-level
• Permanent

Founding pre-sales role building Synthesia's Solutions Engineering function for the DACH region, shaping the playbook, tooling and best practices as the team scales. Partners with Account Executives, Customer Success and Product Marketing on discovery, demos, POCs and technical solution design, covering API/SDK integrations, security and compliance topics such as SOC 2 and GDPR.

LMS · HCM

• Cambridge

Join a global team continuously developing and improving threat detection capabilities across key product areas. You'll respond to customer incidents, analyse cyber threat intelligence, and expand detection schemes aligned to adversary techniques, collaborating with Development, Security Research and SOC teams.

Darktrace · GitLab · Python