At a Glance
- Tasks: Build and own the recommendations infrastructure from the ground up.
- Company: Fast-growing startup in Greater London with a focus on innovation.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Other info: Collaborate with Data, Product, and Engineering teams in an exciting startup.
- Why this job: Make a real impact by embedding ML into user experiences.
- Qualifications: 5+ years in machine learning, especially in ranking and recommendations.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing startup in Greater London seeks a Senior Machine Learning Engineer to establish the recommendations infrastructure from scratch. This role offers significant ownership, working closely with Data, Product, and Engineering teams to embed ML capabilities into the user experience.
Ideal candidates have over 5 years of experience in machine learning, particularly in ranking and recommendation systems, and are proficient in Python and cloud-based ML technologies like GCP. A competitive package and opportunity for growth await.
Senior ML Engineer: Ranking & Recommendations, Own ML Infra employer: trg.recruitment
Join a dynamic and innovative startup in Greater London, where you'll have the chance to shape the future of machine learning infrastructure. We pride ourselves on a collaborative work culture that fosters creativity and encourages professional growth, offering competitive packages and unique opportunities to make a real impact in the tech landscape. With a focus on employee development and a supportive environment, this is an excellent place for those looking to advance their careers while working on cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer: Ranking & Recommendations, Own ML Infra
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at startups. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to ranking and recommendations. 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 Python and cloud-based ML technologies. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Engineer: Ranking & Recommendations, Own ML Infra
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5+ years of experience in machine learning, especially with ranking and recommendation systems. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Get Technical:Since we’re looking for someone proficient in Python and cloud-based ML technologies like GCP, be sure to mention your technical skills clearly. Include any specific tools or frameworks you’ve worked with that relate to the job.
Tailor Your Application:Take a moment to customise your application for this role. Mention how you can contribute to building the recommendations infrastructure from scratch and how you envision embedding ML capabilities into the user experience.
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 don’t miss out on any important updates about the process!
How to prepare for a job interview at trg.recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around ranking and recommendation systems. Be ready to discuss your past projects in detail, showcasing how you've built or improved these systems. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Familiarise yourself with libraries like TensorFlow or PyTorch, as they could come up in conversation.
✨Understand Their Tech Stack
Research the cloud-based ML technologies they use, particularly GCP. Knowing how to deploy models in the cloud and understanding the infrastructure will give you an edge. If you can, bring examples of how you've used similar technologies in your previous roles.
✨Be Ready to Collaborate
This role involves working closely with Data, Product, and Engineering teams, so be prepared to discuss your experience in cross-functional collaboration. Share specific examples of how you’ve worked with different teams to embed ML capabilities into products, highlighting your communication skills and teamwork.
