At a Glance
- Tasks: Lead the design and delivery of innovative machine learning solutions.
- Company: Harnham, a forward-thinking company in the heart of London.
- Benefits: Up to £110,000 salary, 20% bonus, and hybrid working model.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a collaborative team and work on impactful ML projects.
- Qualifications: Experience in machine learning and strong collaboration skills.
The predicted salary is between 110000 - 110000 € per year.
Harnham is seeking a Senior Machine Learning Engineer in London to take ownership of end-to-end machine learning delivery. The ideal candidate will play a key role in designing, building, and productionising machine learning solutions across various use cases while collaborating with data scientists and engineers.
This position offers a salary of up to £110,000 plus a 20% bonus, with hybrid working (two days per week in-office), and the chance to work on impactful ML projects with a collaborative team.
Lead ML Engineer — Production ML & MLOps (Hybrid London) employer: Harnham
Harnham is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about machine learning. With competitive salaries, generous bonuses, and hybrid working arrangements, employees enjoy a balanced lifestyle while contributing to impactful projects. The company prioritises professional growth, offering ample opportunities for skill development and career advancement in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer — Production ML & MLOps (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including case studies that highlight your end-to-end delivery process. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We suggest practicing common ML interview questions with friends or using mock interview platforms.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We believe it shows your enthusiasm for the role and keeps you fresh in the interviewer's mind.
We think you need these skills to ace Lead ML Engineer — Production ML & MLOps (Hybrid London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead ML Engineer role. Highlight your experience with end-to-end machine learning delivery and any relevant projects you've worked on. We want to see how you can bring value to our team!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them in real-world scenarios. Whether it's designing ML solutions or collaborating with data scientists, we love seeing practical examples of your expertise.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our projects. We appreciate a personal touch that reflects your enthusiasm for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with end-to-end delivery and how you've tackled challenges in productionising ML solutions.
✨Showcase Collaboration Skills
Since this role involves working closely with data scientists and engineers, be prepared to share examples of successful collaborations. Highlight how you’ve contributed to team projects and the impact of your teamwork.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of MLOps and production ML. Practise explaining your thought process and problem-solving approach clearly, as this will demonstrate your expertise.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's ML projects or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
