Artificial Intelligence Jobs

• New York, United States
• Hybrid
• US$200,000 – US$250,000 pa
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.

Python · PyTorch · Pandas +3

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

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid · 3 days in office
• Senior

Translates Isomorphic Labs' security strategy into engineering delivery, steering a multi-quarter InfoSec roadmap spanning Cloud Security, Platform IAM and Secure SDLC. Partners directly with engineering and ML teams to unblock architectural issues, secure drug discovery pipelines and build data-driven dashboards giving the CISO visibility into program health and risk metrics. Reports to the CISO with a functional tie to the TPM Discipline Lead.

GCP · ISO 27001 · ISO 42001 +6

• London

Enterprise sales role driving adoption of Lakebase, a fully-managed serverless Postgres service for operational and AI-native applications. Partners with regional Account Executives to run multi-threaded sales cycles, orchestrate POCs for OLTP and reverse ETL workloads, and compete against legacy and cloud-native databases. Also enables the field and shapes territory plans with Product, Marketing and Partner teams.

Databricks · Lakebase · AWS +6

• Reading
• Remote
• Senior
• Permanent

Owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, prevents malicious behaviour and streams telemetry to the cloud. Work spans architecture, design and delivery across file system, memory, process and networking subsystems, with shared components across Windows, Mac and Linux. Involves leading projects, mentoring and collaborating in a distributed team.

Windows · Mac · Linux +1

• London
• Senior

Drives large-scale enterprise data warehouse migrations onto the Databricks Intelligence Platform across EMEA, partnering with GTM leadership, product specialists and account teams to shape adoption strategy. Acts as the tier-3 escalation point for complex or stalled migrations, builds assessment tooling and programmatic migration assets, and mentors the regional Solutions Architect community. Also feeds field insights back to Product and Engineering and authors whitepapers and conference talks.

Databricks · Teradata · Netezza +7

• Aarhus, Denmark
• Remote
• Senior
• Permanent

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through delivery and demo.

Windows · Mac · Linux +2

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid
• Senior
• Permanent

Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.

React · JavaScript · TypeScript +7

• London
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production impact. The role involves capability testing for Frontier AI models, multi-agent systems, scalable cloud infrastructure and safety-first frameworks, while advising senior clients and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid
• Permanent

Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, alongside Sales, Product, Research and Engineering. This is a general expression of interest talent pool rather than a specific vacancy.

OpenAI

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• 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

• Stratford-upon-Avon
• Remote
• Mid-level
• Contract

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform, taking ideas from business requirements through experimentation, evaluation and deployment. Focus on producing reliable structured JSON outputs, AI workflows for extraction, classification, retrieval and summarisation, plus evaluation datasets, monitoring and API integration with developers.

AI APIs · Vector Databases · Model Context Protocol +1