At a Glance
- Tasks: Develop personalisation features and enhance ML functions in a dynamic retail environment.
- Company: Exciting Series A Scale-Up in the Retail space with a focus on innovation.
- Benefits: Competitive salary of £90k-£150k, equity, and hybrid working options.
- Other info: Opportunity for career growth in a vibrant Central London setting.
- Why this job: Join a fast-growing team and make a real impact in personalisation and recommendations.
- Qualifications: Strong STEM background and experience in scaling organisations.
The predicted salary is between 90000 - 150000 € per year.
Oliver Bernard has partnered with a Series A Scale-Up in the Retail space looking for a Machine Learning expert to enhance their ML function. In this role, you will develop personalisation features, including Recommendation and Ranking systems, using your solid background in Data Science.
Ideal candidates will have experience in scaling organizations and a strong STEM academic background.
The position offers a base salary of £90k-£150k, plus equity, with hybrid working in Central London.
ML Engineer - Personalization & Recommendations (Equity) in London employer: Oliver Bernard
Join a dynamic and innovative Scale-Up in the Retail sector, where your expertise as an ML Engineer will directly impact the development of cutting-edge personalisation features. With a competitive salary package, equity options, and a hybrid working model in the vibrant heart of Central London, you'll thrive in a collaborative work culture that prioritises employee growth and encourages creative problem-solving. This is an exceptional opportunity to be part of a forward-thinking team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Personalization & Recommendations (Equity) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in companies that interest you. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to personalisation and recommendation systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you would tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Engineer - Personalization & Recommendations (Equity) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in Machine Learning and Data Science. We want to see how you've developed personalisation features or recommendation systems in the past, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or achievements that align with the job description, especially those related to scaling organisations.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re the perfect fit!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around personalisation and recommendation systems. Be ready to discuss algorithms you've used, their pros and cons, and how they can be applied in a retail context.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented ML solutions. Highlight your role, the challenges you faced, and the impact your work had on the organisation. Real-world examples will make you stand out!
✨Understand the Company’s Needs
Research the company and its current ML function. Understand their products and how personalisation can enhance customer experience. Tailor your answers to show how your skills align with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current ML strategies, team dynamics, and future projects. This shows you're not just interested in the job, but also in contributing to their success.
