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 options.
- Other info: Join a dynamic environment with opportunities for growth.
- Why this job: Make a real impact on exciting ML projects with a collaborative team.
- 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, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practising common ML interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
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 reflects the skills and experiences that align with the Lead ML Engineer role. Highlight your experience in end-to-end machine learning delivery and any collaborative projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our team. Mention specific projects or technologies that excite you and relate to the job description.
Showcase Your Projects:If you've worked on impactful ML projects, don’t hesitate to include them in your application. We love seeing real-world applications of your skills, so share links or descriptions of your work!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups.
How to prepare for a job interview at Harnham
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals. Be prepared to discuss algorithms, model evaluation metrics, and the end-to-end ML pipeline. This will show that you have a solid grasp of the concepts that are crucial for the role.
✨Showcase Your Projects
Bring examples of your previous work, especially projects where you've taken ownership of the ML delivery process. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since this role involves working closely with data scientists and engineers, be prepared to discuss how you’ve collaborated in the past. Share specific examples of teamwork and how you’ve contributed to successful project outcomes. This will highlight your ability to work in a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's ML projects and their approach to MLOps. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
