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- Tasks: Lead the ML function and create personalisation features for an exciting platform.
- Company: Join a dynamic Series A Scale-Up in Central London.
- Benefits: Competitive salary, equity options, and hybrid work flexibility.
- Other info: Great opportunity for career growth in a vibrant tech environment.
- Why this job: Make a real impact in the world of Machine Learning and personalisation.
- Qualifications: Strong background in Machine Learning with experience in Recommendation systems.
The predicted salary is between 90000 - 150000 £ per year.
Oliver Bernard is seeking a Machine Learning Specialist for a Series A Scale-Up in Central London. In this role, you will take ownership of the ML function, building solutions for personalisation features on their platform.
Candidates should have a strong background in Machine Learning and experience with Recommendation and Ranking systems.
The position offers a salary range of £90k-£150k plus equity, and is hybrid in nature. Applicants must be based in the UK, as Visa sponsorship is unavailable.
ML Engineer: Personalization & Recommendations (Hybrid) in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer: Personalization & Recommendations (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. 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 projects related to personalisation and recommendation systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML concepts and be ready to discuss your past experiences. Practising common 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 the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace ML Engineer: Personalization & Recommendations (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Machine Learning, especially in personalisation and recommendation systems. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role at Oliver Bernard. We love seeing candidates who put in the effort to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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’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 to real-world scenarios.
✨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 of your work. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Product
Research Oliver Bernard's platform and think about how you could enhance their personalisation features. Bring ideas to the table during the interview; it shows initiative and a genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and their future plans. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.