At a Glance
- Tasks: Enhance machine learning capabilities and innovate insurance risk modelling techniques.
- Company: Join Markerstudy Group, a leading UK insurance provider with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on data excellence.
- Why this job: Make a real impact in the insurance industry using cutting-edge machine learning technologies.
- Qualifications: Experience in machine learning methods and strong coding skills required.
The predicted salary is between 57000 - 96000 £ per year.
Salary: £57,000 - 96,000 per year
About the role
Markerstudy Group is seeking a Senior Machine Learning Engineer to contribute to innovative insurance risk modeling and pricing techniques. We are a leading provider of private insurance in the UK, insuring a significant proportion of vehicles across the country. Our innovative approach supports well-known brands such as Tesco, Sainsbury's, and Halifax. In this hybrid role based in either Manchester or Haywards Heath, you will play a crucial part in enhancing our machine learning capabilities, helping us stay competitive in the market. We offer a collaborative and supportive work environment with opportunities for professional development and a focus on innovation.
Responsibilities
- Tune machine learning methods to leverage state-of-the-art processing capabilities
- Deploy and maintain machine learning methods in a DevOps/MLOps environment
- Create robust, high-quality code using test-driven development (TDD) techniques
- Refine, tune, deploy and maintain machine learning methods in our pipeline
- Propose, proof-of-concept, develop, and deliver novel machine learning processes
- Collaborate with data science teams to deploy state-of-the-art, robust, and extensible machine learning methods
- Actively contribute to fostering a culture of coding and data excellence
- Implement efficient solutions across various markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home
- Lead and mentor junior machine learning engineers, sharing best practices
- Report and communicate with senior stakeholders, including the Head of Data Science and Machine Learning and Director of Technical Underwriting
Requirements
- Previous experience in tuning and deploying machine learning methods
- Familiarity with predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering
- Experience in DevOps and Azure ML, or other MLOps and ML lifecycle technology stacks like AWS, Databricks, Google Cloud
- Proficiency in deploying services in Docker and Kubernetes
- Strong ability to create production-grade code following SOLID programming principles, including test-driven development (TDD)
- Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL
- Experience with source control software, e.g., GitHub
- Excellent verbal and written communication skills for conveying results clearly
- Knowledge of data and model monitoring is a plus
- Educated to at least a masters level in a STEM-based or Data Science/ML/AI/mathematical discipline
- Strong collaborative and team-oriented mindset
- Logical thinker with a professional and positive attitude
- Passion for innovation and process improvement
Technologies
- AI
- AWS
- Azure
- Cloud
- Databricks
- DevOps
- Docker
- GitHub
- Support
- Kubernetes
- Machine Learning
- Python
- PySpark
- SAS
- SQL
- TDD
Senior Machine Learning Engineer in Manchester employer: Sivara GmbH
Markerstudy Group is an exceptional employer, offering a dynamic and collaborative work environment where innovation thrives. With a strong focus on professional development, employees are encouraged to grow their skills in cutting-edge machine learning technologies while contributing to impactful projects for renowned brands. Located in vibrant Manchester or picturesque Haywards Heath, the company provides a unique blend of career advancement opportunities and a supportive culture that values coding excellence and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Manchester
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Sivara GmbH). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Sivara GmbH. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Senior Machine Learning Engineer in Manchester
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Sivara GmbH.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Sivara GmbH. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Sivara GmbH
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Sivara GmbH to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Sivara GmbH, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Sivara GmbH's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.
