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- Tasks: Lead the design, build, and deployment of ML models at scale.
- Company: Join a fast-scaling tech company focused on AI and ML innovation.
- Benefits: Enjoy a competitive salary, equity options, and private medical insurance.
- Why this job: Make a real impact in ML while mentoring others and driving best practices.
- Qualifications: Strong Python skills and experience with modern ML frameworks required.
- Other info: This is a newly created role with significant growth potential.
The predicted salary is between 68000 - 76000 £ per year.
MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. 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.
- Strong experience with Python and modern ML frameworks.
- Proven track record of deploying ML solutions on AWS.
- Ability to lead projects, mentor engineers, and drive best practices in ML engineering.
If you are excited about leading from the front and making a real impact with machine learning, we would love to hear from you.
Circa £85,000 - £95,000 with a 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.
Lead/Senior 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/Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Being able to discuss recent advancements or case studies during your conversations can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who are already working in similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the Lead Machine Learning Engineer position.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully led projects or mentored others. This will be crucial in demonstrating your capability to drive best practices in ML engineering.
✨Tip Number 4
Research the company's core product and think about how you can contribute to its development using machine learning. Tailoring your discussions around their specific needs will show that you're not just interested in the role, but also in the company's mission.
We think you need these skills to ace Lead/Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and modern ML frameworks. Include specific projects where you've deployed ML solutions on AWS, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and leadership. Mention how you can drive the adoption of AI and ML in the company's core product and provide examples of your mentoring experience.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects you've worked on. Detail your role, the technologies used, and the impact of these projects to demonstrate your capability.
Highlight Leadership Skills: Since this is a lead role, emphasise your ability to lead projects and mentor engineers. Provide examples of how you've driven best practices in ML engineering in previous positions.
How to prepare for a job interview at MCS Group | Your Specialist Recruitment Consultancy
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and modern ML frameworks in detail. Bring examples of projects where you've successfully deployed ML solutions, especially on AWS, as this will demonstrate your technical expertise.
✨Demonstrate Leadership Qualities
Since this role involves leading projects and mentoring engineers, be ready to share specific instances where you've taken the lead on a project. Highlight how you drove best practices in ML engineering and supported your team.
✨Understand the Company's Vision
Research the company and its core product thoroughly. Be prepared to discuss how you can drive the adoption of AI and ML within their offerings, showing that you are aligned with their goals and can make a real impact.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for the interviewers. This could include inquiries about their current ML projects, team dynamics, or future technology plans. It shows your genuine interest in the role and the company.
