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- Tasks: Design and build machine learning models to enhance personalisation and search relevance.
- Company: Leading global marketplace with a focus on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape how millions discover products using cutting-edge ML techniques.
- Qualifications: Experience in machine learning, proficiency in Python, and collaborative skills.
- Other info: Dynamic role with exposure to the latest ML research and technologies.
The predicted salary is between 43200 - 72000 £ per year.
Senior Machine Learning Engineer — Ranking & Recommendations
Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG
Contract: Permanent, full-time
We\’re looking for a Senior Machine Learning Engineer to be the first dedicated ML hire. You\’ll work alongside the Data Engineering team to design, build, and own the recommendations infrastructure from the ground up, while helping define the long-term ML strategy – establishing best practices for model development, experimentation, evaluation, and monitoring.
As the first ML engineer, you\’ll have significant ownership and the opportunity to shape the discipline as we scale, collaborating closely with Product, Engineering, and Data teams to ensure ML capabilities are deeply embedded in the user experience.
We\’re looking for someone with deep experience in ranking and recommendation systems, who thrives on building from zero to one and wants real ownership in a fast-growing startup.
Must-haves
- 5+ years of experience in machine learning engineering
- Strong track record building ranking, recommendation, or personalisation systems in production
- Experience using generative AI across a product – LLMs for embedding generation, semantic understanding, conversational interfaces, feature generation, RAG, etc.
- Experience working with large-scale user behavioural data; proficiency with Python and modern ML frameworks
- Experience with cloud-based ML infrastructure (ideally GCP)
- Familiarity with data warehousing tools such as BigQuery and dbt
Interested? Apply below or reach out directly at mmatysik@trg-uk.com
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Senior Machine Learning Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning 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 machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your ML concepts and frameworks like PyTorch and TensorFlow. Practice explaining your past projects and how they relate to the role you're applying for – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting 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 Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with ML frameworks like PyTorch and TensorFlow, and don’t forget to showcase any projects that demonstrate your skills in personalisation and recommendation systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background aligns with our mission at StudySmarter. Be sure to mention any collaborative projects you've worked on that relate to the job description.
Showcase Your Projects: If you’ve got any relevant projects or research, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve large-scale experiments or innovative ML solutions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at trg.recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with engineers, product managers, or data scientists in the past. Highlight your ability to translate complex ML ideas into actionable insights for non-technical audiences.
✨Experimentation is Key
Talk about your experience running large-scale experiments and A/B testing. Be specific about the methodologies you used and the outcomes of those experiments. This shows that you understand the importance of validating ideas before implementation.
✨Stay Curious and Updated
Demonstrate your eagerness to learn by discussing recent ML research or techniques you've come across. Mention any new methods in NLP, vision, or recommendation systems that excite you, and how you plan to apply them in your work.