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- Tasks: Join a team to develop and deploy machine learning models that impact millions.
- Company: Compare the Market, a purpose-driven tech company focused on innovation.
- Benefits: Competitive salary, inclusive culture, mentorship, and opportunities for growth.
- Why this job: Make financial decisions easier for customers while working with cutting-edge AI technology.
- Qualifications: Experience with Python and a passion for machine learning and collaboration.
- Other info: Dynamic environment with a focus on performance and personal development.
The predicted salary is between 28800 - 48000 £ per year.
Join Compare the Market as a Graduate Machine Learning Engineer and help to make financial decision making a breeze for millions.
At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. 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.
What You’ll Be Doing
- Work with experienced Machine Learning Engineers and Data Scientists to productionize 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.
What We’re Looking For
- 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.
Graduate Machine Learning Engineer employer: Compare the Market
Contact Detail:
Compare the Market Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Compare the Market on LinkedIn. Ask them about their experiences and any tips they might have for landing the Graduate Machine Learning Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding machine learning workflows. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to MLOps and model evaluation.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning projects, be ready to discuss them in detail. Highlight your problem-solving skills and how you collaborated with others, as teamwork is key at Compare the Market.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team and making a difference in financial decision-making.
We think you need these skills to ace Graduate Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Graduate Machine Learning Engineer role. Highlight any relevant projects or coursework in Python and machine learning to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working at Compare the Market and how you can contribute to our mission of making financial decision-making easier.
Showcase Your Projects: If you've worked on any machine learning projects, whether academic or personal, make sure to include them in your application. We love seeing practical examples of your skills and how you've applied them in real-world scenarios.
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team!
How to prepare for a job interview at Compare the Market
✨Know Your Stuff
Make sure you brush up on your Python skills and understand machine learning workflows. Be ready to discuss any projects you've worked on, especially those that involved model evaluation or MLOps. This shows you're not just a theory person but someone who can apply knowledge practically.
✨Show Your Curiosity
Compare the Market is looking for ambitious thinkers, so don’t hesitate to ask questions during the interview. Show genuine interest in their projects and how they use AI to make financial decisions easier. This will demonstrate your enthusiasm and willingness to learn.
✨Emphasise Collaboration
Since the role involves working in cross-functional teams, highlight any experiences where you’ve collaborated with others. Talk about how you’ve contributed to team success and how you handle feedback. This will show that you’re a team player who thrives in a collaborative environment.
✨Be Yourself
At Compare the Market, they value authenticity. Don’t be afraid to let your personality shine through during the interview. Share your passions and what drives you, as this will help them see how you fit into their culture of innovation and performance.