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- 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) employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist — Lead High‑Impact AI (Hybrid)
✨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 you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those related to AI and machine learning. This will help you stand out and demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and data science concepts. Mock interviews with friends or online platforms can really boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior ML Scientist — Lead High‑Impact AI (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your extensive experience in data science and strong Python skills. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that relate to high-impact AI and how you’ve contributed to robust software architectures. This helps us see you as a perfect fit!
Be Collaborative: Since we value a collaborative mindset, share examples of how you've mentored junior team members or worked effectively in teams. This will show us that you’re not just a tech whiz but also a great team player!
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 Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss your past projects in detail, especially those that had a significant impact. This shows you’re not just knowledgeable but also experienced in driving high-impact AI solutions.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior team members, be prepared to share examples of how you've led teams or projects in the past. Highlight your collaborative mindset and how you’ve fostered a positive team environment, as this will resonate well with the interviewers.
✨Understand the Company’s Vision
Research the company’s approach to responsible AI innovation. Familiarise yourself with their recent projects and values. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their mission.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges in Python and be ready to explain your thought process. This will show your analytical skills and ability to tackle complex problems effectively.
