ABOUT THE ROLE
As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.
You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade machine learning systems. Partnering directly with clients and cross-functional teams, you will drive technical strategy, mentor teams on best practices, and collaborate with Frontier Labs to define and reinforce our industry leadership in practical, high-stakes AI safety.
WHAT YOU'LL BE DOING
Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models
Designing and building production-grade ML software, tools, and scalable infrastructure
Defining and implementing best practices and standards for deploying machine learning at scale across the business
Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
WHO WE'RE LOOKING FOR
You have significant experience building and deploying secure and scalable LLM applications, and are comfortable with multi-agent harness tooling and AI Safety evaluation procedures.
You understand the full ML lifecycle and are confident operationalising models built with frameworks like TensorFlow or PyTorch
You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practices
You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
OUR INTERVIEW PROCESS
1. Talent Team Screen (30 minutes)
2. Pair Programming Interview (90 minutes)
3. System Design Interview (90 minutes)
4. Commercial Interview (60 minutes)
#LI-PRIO
OUR RECRUITMENT ETHOS
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
