Senior Machine Learning Engineer – Safety

Faculty

. Lead technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models .

Posted 10/8/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying secure, scalable machine learning applications, with a strong focus on Python, TensorFlow, and PyTorch. Proven ability to lead technical projects, mentor teams, and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Machine Learning LifecyclePython ProgrammingTensorFlow or PyTorchAWS, Azure, or GCPDocker and Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningLLM ApplicationsSoftware EngineeringCloud ArchitectureInfrastructure ManagementCybersecurity PracticesMulti-Agent Harness ToolingAI Safety EvaluationProduction-Grade ML SystemsScalable Infrastructure

Soft Skills

Exceptional CommunicationMentoringCollaborationOwnershipAutonomy

Tools & Technologies

TensorFlowPyTorchAWSAzureGCPDockerKubernetes

Certifications & Qualifications

Security Clearance Eligibility

Industry Keywords

AI SystemsFrontier AI ModelsClient ChallengesEngineering CultureTechnical Depth

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models
Design and build production-grade ML software, tools, and scalable infrastructure
Define and implement best practices and standards for deploying machine learning at scale
Collaborate with engineers, data scientists, product managers, and commercial teams on critical client challenges
Advise customers and partners, translating complex concepts into actionable strategies
Mentor junior engineers and shape engineering culture and technical depth
Lead development and deployment of cutting-edge AI systems for diverse clients
Bridge AI research and real-world impact through scalable production-grade ML systems
Partner with clients, cross-functional teams, and Frontier Labs on AI safety

Requirements

What you’ll need

Significant experience building and deploying secure and scalable LLM applications
Comfortable with multi-agent harness tooling and AI Safety evaluation procedures
Understanding of the full ML lifecycle
Experience operationalising models with TensorFlow or PyTorch
Deep software engineering expertise
Strong Python skills focused on robust, reusable systems
Hands-on experience with AWS, Azure, or GCP, including cloud architecture, infrastructure management, and end-to-end cybersecurity practices
Extensive experience with Docker and Kubernetes
Ownership and autonomy in driving projects to completion
Exceptional communication skills with technical teams and senior non-technical stakeholders
Eligible for Security Clearance, including having lived continuously in the UK for the past 5 years
Ability to work in the UK; visa sponsorship status required
Comfortable travelling throughout the UK weekly if required for the Defence team

Benefits

Comp & perks

Open to conversations about part-time hours
Human review of every application
AI note-taker in interviews, with opt-out available