Machine Learning Engineer
London, England, United Kingdom
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StepStone Group
Our AI-driven job marketplaces, programmatic-powered marketing solutions and customer-centricity find the perfect candidate quickly and equitablyCompany Description
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.Â
Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worldâs leading job platform.Â
Job Description
Join our team and youâll be responsible for our recommender systems and search algorithms, building the core infrastructure that powers millions of meaningful connections.Â
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.Â
If youâd like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then weâd love to hear from you!Â
You will play a vital role as we reimagine the labour market to make it work for everybody.Â
Your responsibilities:Â Â
- Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environmentÂ
- Deploy and scale ML models, particularly large language models (LLMs)Â Â
- Build and maintain scalable pipelines and services to support real-time ML applicationsÂ
- Maintain and improve recommender systemsÂ
- Build and work with modern API and microservices architecturesÂ
Qualifications
- Strong foundation in PythonÂ
- Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packagesÂ
- Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMakerÂ
- Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observabilityÂ
- Bonus: experience with vector databases, semantic search, or event-driven systems like KafkaÂ
Additional Information
Weâre a community here that cares as much about your life outside work as how you feel when youâre with us. Because your job shouldnât take over your life, it should enrich it. Here are some of the benefits we offer:Â
- 29 days holiday allowance + bank holidaysâŻâŻÂ
- Private medical and dental healthcareâŻâŻÂ
- Matching pension contribution of 4 or 5% (after 3 years of service up to 10%)âŻâŻÂ
- 24/7 Employee Assistance ProgrammeÂ
- Life Assurance CoverâŻÂ
- Cycle to work schemeâŻâŻÂ
- Hybrid working modelâŻâŻ(3 days working from the office)
- Volunteering daysâŻâŻÂ
- and you can bring your dog to the office on Mondays and Fridays!âŻâŻÂ
Our commitmentÂ
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. Â
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:Â Â
- Armed Forces Covenant: Bronze Award, Employer Recognition SchemeÂ
- EcoVadis: Bronze AwardÂ
- Fertility Friendly Employer, accredited by Fertility Matters at WorkÂ
- RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024Â
- Stonewall: Gold AwardÂ
- Stonewall: Top 100 Workplace Equality Index (85)Â
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Agile APIs Architecture AWS CI/CD DevOps Docker HuggingFace Kafka LLMs Machine Learning Microservices ML infrastructure ML models Pipelines Python PyTorch Recommender systems SageMaker Terraform
Perks/benefits: Career development Fertility benefits Pet friendly Salary bonus
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