Senior Machine Learning Engineer

Cerebras
City of London
4 months ago
Applications closed

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Senior Machine Learning Engineer

Senior Machine Learning Engineer

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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Company 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.


Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.


Job Description

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:



  • Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment
  • Deploy and scale ML models, particularly large language models (LLMs)
  • Build and maintain scalable pipelines and services to support real‑time ML applications
  • Maintain and improve recommender systems
  • Build and work with modern API and microservices architectures

Qualifications

  • Strong foundation in Python
  • Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages
  • Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker
  • Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability
  • Bonus: experience with vector databases, semantic search, or event‑driven systems like Kafka

Additional Information

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:



  • 29 days holiday allowance + bank holidays
  • Private medical and dental healthcare
  • Matching pension contribution of 4 or 5% (after 3 years of service up to 10%)
  • 24/7 Employee Assistance Programme
  • Life Assurance Cover
  • Cycle to work scheme
  • Hybrid working model (3 days working from the office)
  • Volunteering days
  • and you can bring your dog to the office on Mondays and Fridays!

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:



  • Armed Forces Covenant: Bronze Award, Employer Recognition Scheme
  • EcoVadis: Bronze Award
  • Fertility Friendly Employer, accredited by Fertility Matters at Work
  • RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024
  • Stonewall: Gold Award
  • Stonewall: Top 100 Workplace Equality Index (85)


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