faculty - Lead Machine Learning Engineer

London, United Kingdom, Hybrid1mo ago

In Office Staff EMEA Artificial Intelligence Machine Learning Engineer ML Engineer AI Engineer HR Manager Kubernetes Coaching

Requirements

• You are an expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments. • You possess mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines. • You have a proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments. • You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges. • You define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar. • You demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs. • THE INTERVIEW PROCESS • 1. Talent Team Screen (30 minutes) • 2. Introduction to the Hiring Manager (30 minutes) • 3. Pair Programming Interview (90 minutes) • 4. System Design Interview (90 minutes) • 5. Commercial & Leadership Interview (60 minutes) • 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.

Responsibilities

• Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments. • Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines. • Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications. • Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments. • Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement. • Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery. • Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position.

Benefits

• We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. • We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. • Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. • AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. • Unlimited Annual Leave Policy • Private healthcare and dental • Enhanced parental leave • Family-Friendly Flexibility & Flexible working • Sanctus Coaching • Hybrid Working • 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.