Senior Machine Learning Engineer

Methodfi; City of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI firm in London seeks a Senior Machine Learning Engineer to lead ML system deployment for diverse clients. The role involves designing scalable software and mentoring junior engineers while collaborating with various teams. Ideal candidates will have strong software engineering skills, cloud platform experience, and the ability to guide technical discussions with stakeholders. Competitive benefits and a hybrid work model are offered.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible working

Sanctus Coaching

Hybrid Working (2 days in office)

Qualifications

• Experience operationalising models with TensorFlow or PyTorch.
• Hands-on experience with cloud infrastructure architecture and security.
• Strong proficiency in building robust and reusable systems with Python.

Responsibilities

• Leading technical decisions for high-impact ML systems.
• Designing production-grade ML software and scalable infrastructure.
• Mentoring junior engineers and shaping the engineering culture.

Skills

Operationalising ML models

Python programming

Cloud platforms (AWS, Azure, GCP)

Container & orchestration tools (Docker, Kubernetes)

Excellent communication skills

Job description

Why Faculty?

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.

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.

About the team

Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.

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.

This is an ambitious, cross‑functional role requiring a blend of technical expertise, engineering leadership, and confident client‑facing skills.

What you’ll be doing:

• Leading technical scoping and architectural decisions for high‑impact ML systems
• 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 understand the full ML lifecycle and have significant experience 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), including architecture, security, and infrastructure
• You’ve extensive experience working with container and orchestration tools such as 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

• Talent Team Screen (30 minutes)
• Pair Programming Interview (90 minutes)
• System Design Interview (90 minutes)
• Commercial 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.

Some of our standout benefits:

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - [e-mail]. Please know we are open to conversations about part‑time roles or condensed hours.