At a Glance
- Tasks: Join a team to develop and deploy machine learning models that impact millions.
- Company: Compare the Market, a tech-driven company focused on financial decision-making.
- Benefits: Inclusive culture, mentorship, and opportunities for personal and professional growth.
- Other info: Dynamic workplace with a commitment to diversity and innovation.
- Why this job: Make a real difference in a fast-paced environment while working with cutting-edge technology.
- Qualifications: Experience with Python and a strong interest in machine learning and collaboration.
The predicted salary is between 28000 - 38000 £ per year.
Curious about what’s next? So are we. 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 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.
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: MONY Group Careers and Employment
At Compare the Market, we pride ourselves on being a purpose-driven employer that fosters a dynamic and inclusive work culture in the heart of London. As a Graduate Machine Learning Engineer, you'll have the opportunity to collaborate with experienced professionals, engage in meaningful projects, and benefit from a strong focus on personal and professional growth. Our commitment to innovation and performance ensures that your contributions will directly impact the financial decision-making of millions, making this an exciting and rewarding place to build your career.
Contact Details:
MONY Group Careers and Employment Recruitment 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 those interviews! Brush up on your Python skills and be ready to discuss your understanding of machine learning workflows. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Show off your projects! If you've worked on any machine learning projects, make sure to highlight them during your interviews. Discuss the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining Compare the Market. Don’t miss out on this opportunity to kickstart your career!
We think you need these skills to ace Graduate Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for Machine Learning:When writing your application, let your enthusiasm for machine learning shine through! Share any projects or experiences that sparked your interest in the field. We love seeing candidates who are genuinely excited about the work they’ll be doing.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Graduate Machine Learning Engineer role. Highlight relevant skills, like your experience with Python and any machine learning workflows you've tackled. This helps us see how you fit into our team!
Be Authentic:We want to get to know the real you! Don’t be afraid to show your personality in your application. Share your unique experiences and perspectives, as we value authenticity and diversity in our workplace.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at MONY Group Careers and Employment
✨Know Your Tech
Brush up on your Python skills and be ready to discuss machine learning workflows. Make sure you can explain how you’ve applied these concepts in your projects or studies, as this will show your understanding and passion for the field.
✨Show Your Curiosity
Demonstrate your interest in MLOps and responsible AI practices during the interview. Ask insightful questions about the company’s approach to these topics, which will highlight your eagerness to learn and grow within the role.
✨Emphasise Collaboration
Since the role involves working in cross-functional teams, share examples of how you’ve successfully collaborated with others in past projects. This will showcase your teamwork skills and align with the company’s values of accountability and collaboration.
✨Prepare for Problem-Solving
Expect to tackle some technical challenges during the interview. Practice explaining your thought process when solving problems, as this will demonstrate your critical thinking abilities and how you approach complex issues in a fast-paced environment.
