Senior Machine Learning Scientist
Senior Machine Learning Scientist

Senior Machine Learning Scientist

Full-Time 48000 - 84000 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 innovation since 2014.
  • Benefits: Enjoy 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 required.
  • Other info: Diverse team culture with excellent career growth opportunities.

The predicted salary is between 48000 - 84000 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.

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.

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

Senior Machine Learning Scientist employer: The Rundown AI, Inc.

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 unparalleled opportunities for professional growth, all while providing a flexible working environment in vibrant London. With standout benefits like unlimited annual leave and private healthcare, we are committed to supporting our team's well-being and work-life balance.
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Contact Detail:

The Rundown AI, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. Building relationships can open doors that applications alone can't.

✨Tip Number 2

Prepare for your interviews by brushing up on your technical skills and understanding the latest trends in AI. Be ready to discuss your past projects and how they relate to the role at Faculty.

✨Tip Number 3

Showcase your leadership skills during the interview process. Talk about how you've mentored others or led projects, as Faculty values team growth and collaboration.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Faculty.

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

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

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Scientist role. Highlight your programming prowess, especially in Python, and any leadership experience you've had in data science projects.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our Defence team. Share specific examples of past projects where you've made an impact, and don’t forget to mention your interest in ethical AI!

Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, particularly in core data science paradigms and frameworks like PyTorch. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back!

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 us you’re keen on joining our team at Faculty!

How to prepare for a job interview at The Rundown AI, Inc.

✨Know Your AI Stuff

Make sure you brush up on the latest trends and technologies in AI, especially those relevant to the defence sector. Be ready to discuss your experience with machine learning algorithms, Python programming, and any projects you've led that showcase your technical expertise.

✨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 teams in the past, and be ready to discuss your approach to fostering a collaborative culture.

✨Understand the Client's Needs

Familiarise yourself with the types of clients Faculty works with, particularly in the defence sector. Think about how you can translate complex data science concepts into practical solutions for their specific challenges, and be prepared to discuss this during the interview.

✨Prepare for Technical Questions

Expect to face technical questions during the interview process, especially in the technical interview segment. Practice coding problems and be ready to explain your thought process clearly. Familiarity with libraries like NumPy and Pandas will be crucial, so don’t skip the basics!

Senior Machine Learning Scientist
The Rundown AI, Inc.

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