Senior Machine Learning Engineer

Methodfi; City of London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading AI company in London is seeking a Senior Machine Learning Engineer to lead the development of cutting-edge AI systems. You will design scalable ML software and infrastructure, collaborate across teams to tackle client challenges, and mentor junior engineers. Candidates should have extensive experience in ML, strong Python skills, and proficiency with cloud platforms and containerization technologies. This role offers hybrid work flexibility, competitive benefits, and an opportunity to make a significant impact in AI.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility

Sanctus Coaching

Hybrid Working (2 days in office)

Qualifications

• Significant experience in operationalising models with TensorFlow or PyTorch.
• Deep expertise in software engineering and strong Python skills.
• Hands-on experience with cloud platforms, including architecture and security.
• Extensive experience with Docker and Kubernetes to manage applications.
• Ownership and autonomy in projects, thriving in fast-paced environments.
• Exceptional communication skills with technical and non-technical stakeholders.

Responsibilities

• Lead technical scoping and architectural decisions for ML systems.
• Design and build production-grade ML software and infrastructure.
• Implement best practices for deploying machine learning at scale.
• Collaborate to solve client challenges and leverage opportunities.
• Act as a technical advisor, translating concepts into strategies.
• Mentor junior engineers, shaping team culture and skills.

Skills

Machine Learning lifecycle understanding

Python programming

Cloud platform experience (AWS, Azure, GCP)

Docker and Kubernetes

Communication skills

Leadership and mentoring

Tools

TensorFlow

PyTorch

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.