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- Tasks: Design and optimise large-scale recommendation systems using machine learning.
- Company: A leading recruiting platform with a focus on innovation.
- Benefits: Competitive salary, 35 days PTO, equity options, and fully remote work.
- Why this job: Influence product direction and make a real impact in a creative environment.
- Qualifications: Extensive experience in machine learning and software engineering.
- Other info: Fast-paced environment with opportunities for autonomy and growth.
The predicted salary is between 43200 - 72000 £ per year.
A recruiting platform seeks a Senior Machine Learning Engineer in the UK to design and optimize large-scale recommendation systems. This role offers fully remote work with competitive salary and benefits, including 35 days of PTO and equity options.
The ideal candidate has extensive experience in machine learning and software engineering, with the ability to work autonomously. You will influence product direction and work in a fast-paced environment that values creativity and impact.
Senior ML Engineer - Remote, Discovery & Recommendations employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Remote, Discovery & Recommendations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in machine learning. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to recommendation systems. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer - Remote, Discovery & Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about recommendation systems and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Autonomy: Since this role requires working autonomously, share examples of past projects where you took the lead. We want to know how you approach challenges and drive results on your own!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Jobgether
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around recommendation systems. Be ready to discuss algorithms, data structures, and optimisation techniques you've used in past projects. This will show your depth of knowledge and how you can contribute to their goals.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed or optimised recommendation systems. Highlight the challenges you faced, the solutions you implemented, and the impact your work had. Real-world examples will make your experience tangible and relatable.
✨Demonstrate Autonomy
Since the role requires working autonomously, be prepared to share instances where you've taken initiative. Discuss how you manage your time, prioritise tasks, and drive projects forward without constant supervision. This will reassure them that you can thrive in a remote setting.
✨Emphasise Creativity and Impact
This company values creativity, so think of innovative ideas or approaches you've taken in your previous roles. Be ready to discuss how your contributions have made a significant impact on product direction or user experience. Show them you're not just a coder, but a creative problem solver.
