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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 engineers and driving best practices.
- Qualifications: Strong Python skills and experience with modern ML frameworks required.
- Other info: This is a newly created role with opportunities for growth and leadership.
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. 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.
Senior/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 Senior/Lead 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 interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with Python and modern ML frameworks. Think of specific projects where you've successfully deployed ML solutions, especially on AWS, as these will be key talking points.
✨Tip Number 3
Highlight your leadership skills and mentoring experience. Be ready to share examples of how you've led projects or guided junior engineers, as this role requires strong leadership capabilities.
✨Tip Number 4
Research the company’s core products and think about how you can contribute to their mission. Tailoring your discussion to align with their goals will show that you're genuinely interested in making an impact.
We think you need these skills to ace Senior/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. 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 Your Projects: If possible, include links to your GitHub or portfolio showcasing relevant projects. This will demonstrate your practical experience and ability to lead ML initiatives effectively.
Highlight Soft Skills: Emphasise your ability to collaborate with senior leadership and cross-functional teams. Mention any experience you have in driving best practices in ML engineering, as this is key for the role.
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 guided your team, drove best practices, and contributed to the overall success of the project.
✨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 understand their goals and how your skills align with them.
✨Prepare for Problem-Solving Questions
Expect to face real-world problem-solving scenarios during the interview. Practice articulating your thought process and approach to tackling complex ML challenges, as this will showcase your analytical skills and ability to think critically.
