At a Glance
- Tasks: Design and deploy cutting-edge machine learning models for fraud detection and risk scoring.
- Company: Fast-growing FinTech/InsurTech company transforming financial products with ML.
- Benefits: Competitive salary, bonus, flexible hybrid working, and clear career progression.
- Other info: Collaborative environment with strong technical ownership and growth opportunities.
- Why this job: Make a real impact on high-stakes financial challenges using advanced ML technology.
- Qualifications: 4+ years in ML, strong Python skills, and experience with production deployment.
The predicted salary is between 80000 - 120000 £ per year.
Join a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making. Their platform leverages advanced ML models to power areas such as fraud detection, risk modelling, underwriting optimisation, and customer analytics, enabling smarter and faster decisions at scale. With strong investment and a product-led engineering culture, they are looking for a Senior Machine Learning Engineer to play a key role in building and deploying production-grade ML systems.
The Role
- Design, build, and deploy machine learning models for fraud detection, risk scoring, and predictive analytics
- Develop scalable ML pipelines and work closely with data engineering teams
- Collaborate with product and domain experts to translate business problems into ML solutions
- Optimise model performance and ensure reliability in production environments
- Contribute to architecture and best practices across ML and MLOps
Key Skills & Experience
- 4+ years' experience in machine learning or AI roles
- Strong Python skills, with experience in frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Experience deploying ML models into production, including MLOps, CI/CD, Docker, and Kubernetes
- Solid understanding of statistics, data modelling, and software engineering principles
- Experience with cloud platforms such as AWS, GCP, or Azure
- Exposure to financial services or insurance domains is advantageous, but not essential
What's in It for You?
- Work on high-impact ML systems solving real-world financial and risk challenges
- Join a collaborative, engineering-first environment with strong technical ownership
- Competitive salary of £80,000-£120,000, plus bonus
- Flexible hybrid working with a Cambridge-based office
- Clear progression and the opportunity to influence ML strategy
Senior Machine Learning Engineer in Cambridge, Cambridgeshire in Otley employer: Energy Jobline CVL
Join a well-established property maintenance contractor in Birmingham, where you will enjoy a supportive work culture and the opportunity for career progression. With benefits such as a company van, fuel card, and ongoing training, this role not only offers stability but also the chance to develop your skills in a hands-on environment backed by an experienced office team. Experience a rewarding career with guaranteed annual leave and social events that foster a strong team spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Cambridge, Cambridgeshire in Otley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Energy Jobline CVL!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer in Cambridge, Cambridgeshire at Energy Jobline CVL.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Energy Jobline CVL.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Engineer in Cambridge, Cambridgeshire at Energy Jobline CVL, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Engineer in Cambridge, Cambridgeshire in Otley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Energy Jobline CVL, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Energy Jobline CVL. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Energy Jobline CVL
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Energy Jobline CVL!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
