Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative AI solutions and mentor fellow engineers.
- Company: A leading AI solutions provider in the UK with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on cutting-edge projects.
- Qualifications: 5+ years in machine learning, strong Python skills, and cloud platform experience.
- Other info: Dynamic environment with a focus on innovation and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions provider in the UK is seeking a Principal Machine Learning Engineer to lead the development of innovative AI solutions. The ideal candidate will have over 5 years of experience in machine learning and data engineering, with a strong proficiency in Python and cloud platforms. This hands-on role involves mentoring engineers, overseeing complex projects, and shaping technical strategies. The position offers opportunities for innovation and growth within a collaborative hybrid environment.
Lead ML Engineer – AI, Data & Cloud Architect in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer – AI, Data & Cloud Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data engineering space. Attend meetups, webinars, or even local tech events to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio of your projects, especially those involving machine learning and cloud solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you've led projects and mentored others in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities that match your skills. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Lead ML Engineer – AI, Data & Cloud Architect in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 5+ years of experience in machine learning and data engineering. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've led!
Be Specific About Your Skills: When mentioning your proficiency in Python and cloud platforms, be specific! We love details, so share examples of how you've used these skills in real-world applications. It helps us picture you in the role.
Emphasise Leadership Qualities: Since this is a lead role, it’s crucial to demonstrate your mentoring experience. Tell us about times you’ve guided engineers or shaped technical strategies. We’re looking for someone who can inspire and lead a team!
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. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Datatonic
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and data engineering principles. Be ready to discuss your past projects in detail, especially those involving Python and cloud platforms. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves mentoring and overseeing projects, be prepared to share examples of how you've led teams or guided junior engineers in the past. Highlight your approach to collaboration and how you’ve shaped technical strategies in previous roles.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. Practice coding problems in Python and be ready to explain your thought process. It’s also a good idea to review common algorithms and their applications in real-world scenarios.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI solutions, their current projects, and the team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
