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- Tasks: Lead a team while coding and mentoring on exciting ML projects.
- Company: Dynamic UK-based SaaS scale-up with a focus on innovation.
- Benefits: Competitive salary, hybrid working policy, and career development opportunities.
- Why this job: Make a real impact in ML while growing your leadership skills.
- Qualifications: Experience in engineering management and a passion for machine learning.
- Other info: Collaborative environment with a focus on technical contributions.
The predicted salary is between 80000 - 110000 £ per year.
A UK-based SaaS scale-up is seeking an Engineering Manager to lead a team while focusing on technical contributions and ML projects. You will spend significant time coding and mentoring engineers.
Responsibilities include:
- Building features
- Launching ML models
- Collaborating with cross-functional teams
The role offers a competitive salary range of £80,000 to £110,000, with a hybrid working policy requiring 2 days a week in the office.
Hands-On Engineering Manager, ML Platform & Data in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-On Engineering Manager, ML Platform & Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and ML space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, make sure it’s up to date. Share your coding achievements and ML models on platforms like GitHub. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on technical questions related to engineering management and ML. Practice explaining your past projects and how you mentored your team. Confidence is key, so get comfortable talking about your experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and makes it easier for us to connect with you.
We think you need these skills to ace Hands-On Engineering Manager, ML Platform & Data in London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical expertise in your application. We want to see your experience with coding and ML projects, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with the responsibilities listed, like building features or mentoring engineers. It helps us see how you fit into our team!
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for engineering and how you approach collaboration with cross-functional teams.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on the technical skills relevant to the role, especially around machine learning and coding. Be prepared to discuss your past projects in detail, showcasing your hands-on experience and how you've contributed to ML initiatives.
✨Showcase Your Leadership Style
As an Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Think of examples where you've successfully guided engineers or collaborated with cross-functional teams, and be ready to share these stories during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare for scenarios related to launching ML models or building features, and think through how you would approach these challenges while leading a team.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's culture, their current ML projects, and how they measure success in this role. This shows your genuine interest and helps you gauge if it's the right fit for you.
