Machine Learning Engineer

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.

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:

1. 2+ years of experience in ML Engineering or a related field (we value diverse backgrounds!)
2. Strong foundation in software engineering principles and best practices
3. Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch)
4. Familiarity with version control systems and CI/CD principles
5. 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!

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: 

• 30 days of holidays + 2 extra days for Christmas and New Year's Eve    

• Hybrid working model  

• Company pension scheme  

• 24/7 Employee Assistance Programme  

• Life Assurance Cover  

• Volunteering days  

• Job bike  

• Discounted parking or job ticket  

• In-house gym  

• In-house barista  

• 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.