Graduate Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- Work with experienced Machine Learning Engineers and Data Scientists to productionise models and turn prototypes into performant, reliable services.
- Contribute to the development and maintenance of machine learning pipelines for training, validation and deployment.
- Learn to use modern ML tools and platforms and apply best practices in testing, CI/CD, version control and infrastructure as code.
- Work in cross-functional teams alongside product managers, engineers, and analysts.
- Learn from and be mentored by experienced ML Engineers and technical leaders.
Requirements
Do you have experience in Python?, We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in., * Some experience (academic or project-based) with Python and an understanding of machine-learning workflows and model evaluation.
- Interest in MLOps, model governance and responsible AI practices.
- A highly collaborative working style with a growth mindset.
- Strong critical thinking and problem-solving skills.
- A minimum of a 2:1 degree in software engineering, computer science, or a quantitative field (or you'll be on track to achieve a 2:1 degree).
Why Compare the Market?
We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.