At a Glance
- Tasks: Lead a high-impact team while diving into hands-on engineering with machine learning.
- Company: A leading SaaS scale-up in the UK with a dynamic work culture.
- Benefits: Competitive salary, hybrid working model, and autonomy in your role.
- Why this job: Join a fast-paced environment and make a real impact in tech innovation.
- Qualifications: 5+ years in Python and proven leadership skills required.
- Other info: Great opportunity for career growth in an exciting industry.
The predicted salary is between 80000 - 110000 £ per year.
A leading SaaS scale-up in the UK is in search of an Engineering Manager to lead a high-impact team. This role combines technical leadership with hands-on engineering work, requiring a minimum of 5 years in Python and proven leadership skills. The successful candidate will work with machine learning and big data in a fast-paced environment while maintaining high autonomy.
The job offers a salary range of £80,000–£110,000 and a hybrid working model, requiring 2 days a week in the office.
Engineering Manager - Hands-On ML Platform Leader in Birmingham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Hands-On ML Platform Leader in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in SaaS or have experience with machine learning. A personal referral can make all the difference in getting noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python projects and any hands-on ML work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Engineering Managers and practice your responses. Be ready to discuss your leadership style and how you handle team dynamics in a fast-paced environment.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Engineering Manager - Hands-On ML Platform Leader in Birmingham
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in Python and any leadership roles you've held. We want to see how you've led teams and tackled challenges in the past!
Be Specific About Your Skills: When discussing your technical skills, especially in machine learning and big data, be as specific as possible. We love details that show us exactly what you can bring to the table.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. We’re looking for candidates who understand our needs and can demonstrate how they fit.
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 us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant machine learning concepts. Be ready to discuss your past projects in detail, especially those that showcase your technical leadership and hands-on engineering experience.
✨Showcase Your Leadership Style
Prepare examples of how you've successfully led teams in the past. Think about challenges you've faced and how you motivated your team to overcome them. This will demonstrate your ability to lead a high-impact team effectively.
✨Understand the Company Culture
Research the company’s values and work environment. Since they offer a hybrid model, be prepared to discuss how you manage remote teams and maintain productivity while fostering collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects in machine learning and big data, and how you can contribute to their success as an Engineering Manager.