Senior Machine Learning Scientist in London
Senior Machine Learning Scientist

Senior Machine Learning Scientist in London

London Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead high-impact AI projects and mentor junior data scientists.
  • Company: Join Faculty, a leader in responsible AI with a collaborative culture.
  • Benefits: Unlimited annual leave, private healthcare, and flexible working options.
  • Why this job: Shape the future of AI while making a real-world impact.
  • Qualifications: Senior experience in data science and strong Python programming skills.
  • Other info: Diverse team environment with excellent career growth opportunities.

The predicted salary is between 43200 - 72000 ÂŁ per year.

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)

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

Senior Machine Learning Scientist in London employer: Faculty

At Faculty, we pride ourselves on being at the forefront of AI innovation, empowering our employees to lead impactful projects that shape the future of technology. Our collaborative work culture fosters intellectual curiosity and offers exceptional growth opportunities, including mentorship and professional development, all while enjoying the flexibility of hybrid working arrangements from our vibrant London office. With standout benefits like unlimited annual leave and private healthcare, we are committed to creating a supportive environment where diverse talents can thrive and make a meaningful impact.
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Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Scientist in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Faculty or similar companies. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for your interviews by diving deep into AI projects you've worked on. Be ready to discuss your thought process and how you tackled challenges. Show us your passion for human-centric AI!

✨Tip Number 3

Don’t underestimate the power of a good follow-up. After interviews, drop a quick thank-you note to express your appreciation and reiterate your excitement about the role. It keeps you fresh in their minds!

✨Tip Number 4

Check out our website for the latest job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our mission to innovate with AI.

We think you need these skills to ace Senior Machine Learning Scientist in London

Python Programming
NumPy
Pandas
Deep Learning Frameworks (e.g., PyTorch)
Data Science Paradigms (Supervised/Unsupervised, NLP, Validation)
Algorithm Development
Project Planning
Technical Feasibility Assessment
Team Leadership
Client Relationship Management
Commercial Awareness
Mentoring
Software Architecture Design
Best Practices in Project Delivery

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with the technology and its potential impact. Share any personal projects or experiences that highlight your passion.

Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Senior Machine Learning Scientist role. Highlight your relevant experience in data science and programming, especially with Python and deep learning frameworks like PyTorch.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see how you fit into our team. Avoid jargon unless it's necessary!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Faculty

✨Know Your AI Stuff

Make sure you brush up on the latest trends and technologies in AI, especially those relevant to defence. Be ready to discuss your experience with machine learning frameworks like PyTorch and how you've applied them in real-world scenarios.

✨Showcase Your Leadership Skills

As a Senior Machine Learning Scientist, you'll need to demonstrate your ability to lead teams and mentor junior colleagues. Prepare examples of how you've successfully guided projects and supported team members in their professional growth.

✨Understand the Business Side

Familiarise yourself with how AI solutions can solve business problems, particularly in sectors like finance and defence. Be prepared to discuss how you've translated complex technical concepts into actionable insights for clients.

✨Practice Problem-Solving

Expect technical challenges during the interview process. Brush up on your data science approaches and be ready to walk through your thought process when tackling a problem. This will showcase your analytical skills and ability to deliver high-quality work under pressure.

Senior Machine Learning Scientist in London
Faculty
Location: London
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  • Senior Machine Learning Scientist in London

    London
    Full-Time
    43200 - 72000 ÂŁ / year (est.)
  • F

    Faculty

    50-100
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