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- Tasks: Own the ML function and build innovative personalisation features.
- Company: Exciting Series A Scale-Up in the Retail sector.
- Benefits: Competitive salary up to £150k, equity, and hybrid working.
- Other info: Perfect for ML enthusiasts looking for growth in a dynamic environment.
- Why this job: Join a passionate team and make a real impact with ML solutions.
- Qualifications: Strong ML background and experience with Recommendation/Ranking systems.
The predicted salary is between 90000 - 150000 £ per year.
OB have partnered with a Series A Scale-Up in the Retail space, who are looking to expand their ML function as they continue to scale their platform. You will take a high degree of ownership over the ML function, building solutions for personalisation features on the platform. This is a perfect role for a true ML enthusiast, where you'll have the opportunity to build Recommendation and Ranking systems in production environments, where you will use your foundation of Data Science and ML to work closely with the wider team.
Key skills and experience:
- Strong background in Machine Learning
- Experience building or working on Recommendation/Ranking systems
- Ideally experience in scaling organisations
- Strong academic background in STEM, from a Top ranked University
Salary - Base salary of £90k-£150k + equity (depending on skills and experience)
Hybrid working in Central London
To be considered, you must be UK based and Visa sponsorship is unavailable.
Machine Learning Engineer - Up to £150k - Series A Scale-Up in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Up to £150k - Series A Scale-Up 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, especially those related to Recommendation and Ranking systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and work on real-world problems to demonstrate your expertise during the interview.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team and helps us get to know you better.
We think you need these skills to ace Machine Learning Engineer - Up to £150k - Series A Scale-Up in London
Some tips for your application 🫡
Show Your Passion for ML: We want to see your enthusiasm for Machine Learning! Make sure to highlight any personal projects or experiences that showcase your love for building Recommendation and Ranking systems. Let your passion shine through!
Tailor Your CV: Don’t just send a generic CV! We’re looking for specific skills related to ML and your experience in scaling organisations. Customise your CV to reflect how your background aligns with the role, and make it easy for us to see why you’re a great fit.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Use it to explain why you’re excited about this opportunity and how your academic background in STEM has prepared you for this role. Keep it engaging and relevant!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, models, and your experience with recommendation and ranking systems. They’ll want to see your passion for ML, so don’t hold back!
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, especially those involving personalisation features. Highlight your role, the challenges you faced, and how you overcame them. Real-world examples will make you stand out.
✨Understand Their Business
Do some homework on the company and their platform. Understand their target market and how ML can enhance their retail offerings. This shows that you’re not just a techie but also care about how your work impacts the business.
✨Ask Smart Questions
Prepare insightful questions about their ML function and future plans. This could be about their current challenges or how they envision scaling their ML capabilities. It shows you're genuinely interested and thinking ahead.