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- Tasks: Lead a team while coding and driving technical projects in a fast-paced environment.
- Company: Join a leading SaaS scale-up with a dynamic culture.
- Benefits: Competitive salary, hybrid working, and opportunities for career advancement.
- Why this job: Make an impact by leading innovative projects in machine learning.
- Qualifications: 5+ years of Python experience and strong leadership skills required.
- Other info: Work in London or Manchester with flexible office days.
The predicted salary is between 80000 - 110000 £ per year.
A leading SaaS scale-up is seeking an Engineering Manager to lead a team in a fast-paced environment. The role involves hands-on coding and technical leadership while managing a team of engineers.
Ideal candidates should have:
- 5+ years of Python experience
- A focus on big data or adtech
- Proven leadership skills
This position offers a salary range of £80,000–£110,000 depending on experience and location, with a hybrid working policy requiring 2 in-office days per week in London or Manchester.
Engineering Manager - Hands-On ML Platform Leader in Leeds 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 Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A personal referral can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your hands-on coding projects, especially those related to Python and big data. This will help you stand out as a candidate who can lead technically.
✨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've successfully managed teams in the past.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Engineering Manager - Hands-On ML Platform Leader in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your 5+ years of Python experience in your application. We want to see how you've tackled big data or adtech challenges, so don’t hold back on those details!
Leadership Matters: Since this role involves managing a team, share examples of your leadership skills. We’re keen to know how you’ve motivated and guided your team in past projects.
Be Yourself: Let your personality shine through in your written application. We value authenticity, so don’t be afraid to show us who you are beyond your technical skills.
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!
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 big data technologies. Be ready to discuss your hands-on coding experience and how you've applied it in previous roles, especially in adtech. This will show that you're not just a manager but also a technical leader.
✨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 is your chance to demonstrate your leadership skills and how you can inspire others in a fast-paced environment.
✨Understand the Company Culture
Research the company’s values and culture before the interview. Knowing what they stand for will help you align your answers with their expectations. It’s also a great way to show that you’re genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the challenges they face, or the future direction of their ML platform. This not only shows your interest but also helps you gauge if the company is the right fit for you.
