Job Description
Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems.
Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued, and you'll have the opportunity to push the boundaries of machine learning applications.
This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.
Qualifications
Key Responsibilities:
1. Design and develop innovative machine learning models, turning data into actionable insights
2. Manage and optimize AWS-based infrastructure, ensuring scalability and efficiency
3. Create and maintain robust CI/CD pipelines for seamless model deployment
4. Collaborate closely with data scientists to implement and scale ML solutions
5. Contribute to the enhancement of our Data and AI Platforms, working cross-functionally
Required Qualifications:
6. 2+ years of experience in ML Engineering or a related field (we value diverse backgrounds!)
7. Strong foundation in software engineering principles and best practices
8. Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch)
9. Familiarity with version control systems and CI/CD principles
10. Understanding of statistical models and their evaluation methodologies
We encourage applications from candidates of all backgrounds. If you don't meet all the qualifications but are passionate about ML and eager to learn, we'd still love to hear from you!
Additional Information
Your benefits
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:
11. 30 days of holidays + 2 extra days for Christmas and New Year's Eve
12. Hybrid working model
13. Company pension scheme
14. 24/7 Employee Assistance Programme
15. Life Assurance Cover
16. Volunteering days
17. Job bike
18. Discounted parking or job ticket
19. In-house gym
20. In-house barista
21. And you can bring your dog to the office
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.