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- Tasks: Lead the design, build, and deployment of ML models at scale.
- Company: Join a fast-scaling tech company with significant investment and ambitious growth plans.
- Benefits: Enjoy a competitive salary, equity options, and private medical insurance.
- Why this job: Make a real impact in AI and ML while mentoring fellow engineers in a dynamic environment.
- Qualifications: Strong Python skills and experience with ML frameworks like TensorFlow and AWS deployment.
- Other info: This is a newly created role, perfect for those eager to lead and innovate.
The predicted salary is between 85000 - 95000 £ per year.
MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product.
You will take the lead on designing, building, and deploying ML models at scale, working closely with the senior leadership team and wider engineering and product functions to solve real-world problems.
What you’ll need:
- Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Proven track record of deploying ML solutions on AWS
- Ability to lead projects, mentor engineers, and drive best practices in ML engineering
If you’re excited about leading from the front and making a real impact with machine learning, we’d love to hear from you.
Salary: Circa £85,000 - £95,000 with package which includes equity and private medical.
To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Chris Busby, Associate Director - IT Recruitment, at MCS Group. Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles.
All conversations will be treated in the strictest of confidence.
Lead Machine Learning Engineer employer: MCS Group | Your Specialist Recruitment Consultancy
Contact Detail:
MCS Group | Your Specialist Recruitment Consultancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your leadership skills during the interview process. Prepare examples of how you've successfully led projects or mentored other engineers in the past, as this role requires strong leadership capabilities.
✨Tip Number 2
Familiarise yourself with the company's core product and think about how you can integrate AI and ML into it. This will not only show your enthusiasm but also demonstrate your proactive approach to solving real-world problems.
✨Tip Number 3
Network with current employees or industry professionals who have experience in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
✨Tip Number 4
Stay updated on the latest trends and advancements in machine learning and AI. Being knowledgeable about recent developments can give you an edge in discussions and interviews, showing that you're passionate about the field.
We think you need these skills to ace Lead Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and modern ML frameworks like TensorFlow, PyTorch, and scikit-learn. Emphasise any previous roles where you deployed ML solutions on AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and leadership. Mention specific projects where you've led teams or mentored engineers, showcasing your ability to drive best practices in ML engineering.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Highlight the impact of these projects, particularly those that involved designing, building, and deploying ML models at scale.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any grammatical errors or typos, and ensure that your information is clear and concise to make a strong impression.
How to prepare for a job interview at MCS Group | Your Specialist Recruitment Consultancy
✨Showcase Your Technical Skills
Make sure to highlight your strong experience with Python and modern ML frameworks like TensorFlow, PyTorch, and scikit-learn. Be prepared to discuss specific projects where you've successfully deployed ML solutions, especially on AWS.
✨Demonstrate Leadership Abilities
Since this role involves leading projects and mentoring engineers, be ready to share examples of how you've led teams in the past. Discuss your approach to driving best practices in ML engineering and how you motivate others.
✨Understand the Company's Vision
Research the technology company and understand their core product and how AI and ML can enhance it. Being able to articulate how you can contribute to their goals will show your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face real-world problem-solving scenarios during the interview. Practice explaining your thought process and how you would approach designing, building, and deploying ML models to solve these problems.
