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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: Attractive salary, equity options, and hybrid working model.
- Other info: Great opportunity for career growth in a vibrant tech environment.
- Why this job: Make a real impact in personalisation and recommendations with cutting-edge technology.
- Qualifications: Strong background in Machine Learning and experience with Recommendation systems required.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other 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 ensure your application gets seen by the right people.
We think you need these skills to ace ML Engineer: Personalization & Recommendations (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, especially with personalisation and recommendation systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
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 the role. Plus, it’s super easy!
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, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented ML solutions. Highlight your role, the technologies you used, and the impact of your work. This not only demonstrates your skills but also your ability to take ownership of projects, which is key for this role.
✨Understand the Company’s Product
Familiarise yourself with Oliver Bernard's platform and its current personalisation features. Think about how you could enhance these features or introduce new ones. Showing that you’ve done your homework will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare Questions
Have a list of insightful questions ready to ask during the interview. Inquire about their current ML challenges, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.