At a Glance
- 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.
- Other info: Dynamic role with exposure to the latest ML research and technologies.
- Why this job: Shape how millions discover products using cutting-edge ML techniques.
- Qualifications: Experience in machine learning, proficiency in Python, and collaborative skills.
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
Join a forward-thinking company that values innovation and collaboration, offering a remote work environment that promotes flexibility and work-life balance. As a Data Scientist, you'll have access to cutting-edge technology and resources, along with opportunities for professional development and growth within a supportive team culture. With competitive compensation and a commitment to employee well-being, this is an excellent place to advance your career while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like trg.recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer at trg.recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like trg.recruitment.
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We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at trg.recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at trg.recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at trg.recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at trg.recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
