Senior Machine Learning Engineer - Ranking & Recommendations

trg.recruitment • United Kingdom

Remote Visa Sponsorship

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, build, and own the recommendations infrastructure from the ground up. Collaborate with Product, Engineering, and Data teams to ensure ML capabilities are deeply embedded in the user experience. 5+ years of experience in machine learning engineering required.

Key Highlights

Ranking and recommendation systems

Generative AI

Cloud-based ML infrastructure

Large-scale user behavioural data

Searching for Machine Learning & AI roles that provide visa sponsorship? Connect with international employers through Machine Learning & AI Jobs with Visa Sponsorship opportunities actively seeking talented professionals.

Key Responsibilities

Design, build, and own the recommendations infrastructure from the ground up

Collaborate with Product, Engineering, and Data teams to ensure ML capabilities are deeply embedded in the user experience

Technical Skills Required

Python GCP BigQuery dbt modern ML frameworks LLMs embeddings RAG

Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.

Benefits & Perks

£110,000 - £130,000 salary

8% bonus

Tier 2 sponsorship available

3 days per week remote work

Interested in opportunities specifically in United Kingdom? Discover our dedicated Visa Sponsorship Jobs in United Kingdom page featuring roles from top employers in this location.

Nice to Have

Experience working with large-scale user behavioural data

Job Description

Senior Machine Learning Engineer — Ranking & Recommendations

Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG

Salary: £110,000 – £130,000 plus 8% bonus

Contract: Permanent, full-time

Location: London, 3 days per week

Sponsorship: Tier 2 sponsorship available

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.

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.