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A leading technology company in London is seeking a Machine Learning Engineer to enhance their recommender systems and search algorithms. You'll work on deploying and scaling machine learning models while collaborating with data scientists and engineers. This role offers a hybrid working model and various benefits to ensure your work-life balance.
At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.
Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.
Join our team and you’ll be responsible for our recommender systems and search algorithms, building the core infrastructure that powers millions of meaningful connections.
Working in the Search & Match domain, you will be focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards.
If you’d like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then we’d love to hear from you!
You will play a vital role as we reimagine the labour market to make it work for everybody.
Your responsibilities:
We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:
Our commitment
Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.
As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: