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- Tasks: Lead the development of cutting-edge recommender systems and optimise machine learning models.
- Company: Join Cleo, a forward-thinking tech company in Greater London.
- Benefits: Enjoy a competitive salary, flexible work options, and generous benefits like private medical insurance.
- Other info: Great opportunity for career growth in a dynamic and innovative environment.
- Why this job: Make a real impact in personalisation technology while collaborating with talented teams.
- Qualifications: Advanced degree in a quantitative field and experience in data science required.
The predicted salary is between 70000 - 90000 £ per year.
Cleo is looking for a Senior Machine Learning Engineer to lead technical work within their Machine Learning Growth Personalisation team in Greater London. The role involves building and optimizing recommender systems, developing models for production, and collaborating with cross-functional teams.
Candidates should have experience in data science, excellent communication skills, and an advanced degree in a quantitative discipline.
The position offers a competitive salary, flexible work arrangements, and generous benefits including a pension and private medical insurance.
Lead Personalisation ML Engineer — Recommenders & Bandits in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Personalisation ML Engineer — Recommenders & Bandits in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cleo or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work on recommender systems and ML models. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms, as collaboration is key in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Personalisation ML Engineer — Recommenders & Bandits in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and optimising recommender 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 personalisation and how your background makes you a perfect fit for our team. Keep it engaging and to the point.
Show Off Your Communication Skills: Since collaboration is key in this role, make sure to demonstrate your excellent communication skills in your application. Whether it’s through your CV or cover letter, let us know how you’ve successfully worked with cross-functional teams in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at cleo
✨Know Your Recommender Systems
Make sure you brush up on the latest techniques in recommender systems. Be ready to discuss your experience with different algorithms and how you've optimised them in past projects. This will show that you're not just familiar with the theory but have practical knowledge too.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in the past. Highlight any challenges you faced and how you overcame them, as this demonstrates your ability to work well in a team environment.
✨Communicate Clearly and Confidently
Excellent communication skills are key for this position. Practice explaining complex machine learning concepts in simple terms, as you may need to present your ideas to non-technical stakeholders. This will help you stand out as someone who can bridge the gap between technical and non-technical teams.
✨Prepare Questions About Their Tech Stack
Research Cleo's tech stack and come prepared with questions about it. This shows your genuine interest in the company and the role. Ask about the tools they use for model deployment or how they measure the success of their recommender systems, which can lead to a more engaging conversation.