Senior Machine Learning Scientist in London

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. 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 Defence team is focused on building and embedding human‑centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting‑edge AI to high‑stakes situations and maintain the balance of global powers essential to our liberty.

Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on‑site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.

As a Senior Machine Learning Scientist, you will lead high‑impact AI projects and shape the technical direction of bespoke solutions. This role requires hands‑on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.

What you’ll be doing:

• Mapping the end‑to‑end data science approach and designing the associated software leading project teams that deliver bespoke algorithms and high‑stakes AI solutions to clients across the sector.
• Conceiving the core data science approach and designing the associated robust software architecture for new engagements.
• Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
• Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
• Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open‑source projects.
• Ensuring best practices are followed throughout the project lifecycle to guarantee high‑quality, impactful delivery.

Who we’re looking for:

• You possess senior experience in a professional data science position or a quantitative academic field.
• You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‑learning framework (e.g., PyTorch).
• You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.
• You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.
• You exhibit commercial awareness, with experience in client‑facing work and the ability to translate business problems into a rigorous mathematical framework.
• You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high‑quality work on a strict schedule.

The Interview Process:

• Talent Team Screen (30 minutes)
• Take Home Technical Test
• Technical Interview (90 minutes)
• Commercial Interview (60 minutes)

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. Please know we are open to conversations about part‑time roles or condensed hours.