Artificial Intelligence Jobs

CrowdStrike · London · £140,000 – £215,000 pa

Lead a team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services and driving cloud cost optimisation across a multi-cloud estate. The role combines people management, on-call ownership and hands-on work with Terraform, Pulumi, Python or Go, Linux and SRE practices, with hybrid working near an office.

CrowdStrike · United Kingdom

As an Associate Consultant on the Platform Professional Services team, you'll act as a trusted advisor helping customers operationalise Falcon Next-Gen SIEM, demonstrating capabilities and shaping a technical roadmap. Day to day you deliver integration services, knowledge transfer on LogScale NGSIEM, and feed customer requirements back to product teams.

PhysicsX · London

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.

PhysicsX · New York, United States

Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.

Databricks · London

Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Palo Alto Networks · Rome, Italy

Designs and plans Idira privileged-account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Acts as a technical expert across enterprise networking, databases and vulnerability management, guiding customers through their journey and resolving escalations.

Palo Alto Networks · Amsterdam, Netherlands

Lead the design and planning of privileged account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Act as a technical expert across enterprise networking, databases and vulnerability management, advising on best practices and managing the full customer journey.

Darktrace · Cambridge

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

Darktrace · London

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.

Avanti Recruitment · Saint Peters, Australia · £80,000 – £100,000 pa

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

Amtis Professional · Birmingham · £80,000 – £90,000 pa

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

Faculty · London

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

Faculty · London

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.

Scale AI · London

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.