Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London
Senior ML Scientist — Lead High‐Impact AI (Hybrid)

Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead high-impact AI projects and mentor junior team members in a dynamic environment.
  • Company: A leading AI solutions firm at the forefront of responsible innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in AI while working with cutting-edge technology.
  • Qualifications: Extensive data science experience and strong Python skills required.
  • Other info: Collaborative culture with opportunities to shape the future of AI.

The predicted salary is between 48000 - 72000 £ per year.

A leading AI solutions firm in Greater London is seeking a Senior Machine Learning Scientist to drive high-impact AI projects. This role oversees technical direction, ensuring robust software architectures while mentoring junior team members.

Candidates should have extensive experience in data science, strong Python skills, and a collaborative mindset. This position includes a hybrid work model, with on-site engagement required for select projects. Join a company at the forefront of responsible AI innovation.

Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London employer: Faculty

As a leading AI solutions firm in Greater London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees benefit from a hybrid work model, competitive remuneration, and ample opportunities for professional growth, all while contributing to high-impact AI projects that shape the future of technology. Join us to be part of a team that values mentorship and responsible AI development, making a meaningful impact in the industry.
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Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London

Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio of your past projects, especially those that highlight your experience in machine learning and Python. We want to see your work in action, so make it easy for them to be impressed!

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.

Tip Number 4

Don’t forget to follow up! After interviews, send a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows that we’re genuinely interested in the role.

We think you need these skills to ace Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London

Machine Learning
Data Science
Python
Software Architecture
Mentoring
Collaboration
AI Project Management
Hybrid Work Model

Some tips for your application 🫡

Showcase Your Experience: When writing your application, make sure to highlight your extensive experience in data science. We want to see how your background aligns with the high-impact AI projects we’re driving at StudySmarter.

Demonstrate Your Python Skills: Since strong Python skills are a must for this role, don’t forget to mention specific projects or tasks where you’ve used Python effectively. We love seeing practical examples of your coding prowess!

Emphasise Collaboration: We value a collaborative mindset here at StudySmarter. In your application, share instances where you’ve worked well in teams or mentored others, as this will resonate with our culture and the role’s responsibilities.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to review your application and get you on board for an exciting journey in AI innovation!

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 and machine learning. Be ready to discuss your previous projects in detail, especially those that had a significant impact. This shows you’re not just knowledgeable but also passionate about the field.

Show Off Your Python Skills

Since strong Python skills are a must for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures can really help here.

Emphasise Collaboration

This role requires a collaborative mindset, so be ready to share examples of how you've worked effectively in teams. Discuss how you’ve mentored junior members or contributed to team projects, highlighting your ability to lead and support others.

Understand the Company’s Vision

Research the company’s approach to responsible AI innovation. Be prepared to discuss how your values align with theirs and how you can contribute to their mission. This shows that you’re not just looking for any job, but that you’re genuinely interested in being part of their team.

Senior ML Scientist — Lead High‐Impact AI (Hybrid) in London
Faculty
Location: London

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