Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead high-impact AI projects and design bespoke machine learning solutions.
- Company: Leading AI solutions firm in Greater London with a focus on innovation.
- Benefits: Unlimited annual leave, private healthcare, and flexible remote work options.
- Why this job: Make a real impact in AI while mentoring a talented team in a hybrid environment.
- Qualifications: Senior data science experience and strong Python programming skills.
- Other info: Join a dynamic team with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions firm in Greater London is seeking a Senior Machine Learning Scientist to lead high-impact AI projects. The ideal candidate will have senior data science experience, strong programming skills in Python, and the ability to mentor and grow a team. This role involves designing bespoke solutions and ensuring project delivery rigor while working in a hybrid environment, offering the flexibility of remote work and excellent benefits including unlimited annual leave and private healthcare.
Senior ML Scientist — Hybrid Defence AI Leader employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist — Hybrid Defence AI Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning. This is your chance to demonstrate your programming prowess in Python and your ability to design bespoke solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve led teams and mentored others. Remember, they’re looking for someone who can not only deliver but also inspire!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, you’ll be part of a company that values flexibility and great benefits!
We think you need these skills to ace Senior ML Scientist — Hybrid Defence AI Leader
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your senior data science experience in your application. We want to see how you've tackled complex projects and the impact you've made in your previous roles.
Demonstrate Your Programming Skills: Since strong programming skills in Python are a must, include specific examples of projects where you've used Python effectively. We love seeing real-world applications of your coding prowess!
Mentorship Matters: If you've mentored or grown a team before, let us know! Share your experiences in guiding others and how you’ve contributed to their development. It’s a big plus for us.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Faculty
✨Know Your ML Stuff
Brush up on your machine learning concepts and be ready to discuss your past projects. Be prepared to explain your approach to designing bespoke solutions and how you've tackled challenges in previous roles.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, make sure you can talk about specific libraries and frameworks you've used. Consider preparing a small coding challenge or example project to demonstrate your expertise during the interview.
✨Mentorship Matters
As this role involves mentoring, think of examples where you've successfully guided others. Be ready to discuss your leadership style and how you plan to grow and develop your team in a hybrid work environment.
✨Embrace the Hybrid Model
Familiarise yourself with the dynamics of working in a hybrid setting. Be prepared to discuss how you manage remote collaboration and ensure project delivery while maintaining team cohesion and productivity.
