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- Tasks: Join a high-performing team to productionise Machine Learning models in pricing.
- Company: Fast-growing personal lines insurance company focused on innovation.
- Benefits: Competitive salary up to £80,000 and excellent benefits, including remote work.
- Why this job: Make an impact in the insurance industry with cutting-edge Machine Learning technology.
- Qualifications: Strong Machine Learning experience, preferably from a Data Engineering background.
- Other info: Exciting opportunity for career growth in a dynamic, innovative environment.
The predicted salary is between 48000 - 64000 £ per year.
Exciting new position for a fast growing personal lines Insurance company. This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. This role will take on Senior responsibilities such as mentoring, leading projects and deputising. Candidates do not need previous management/leadership/senior experience.
A few key areas of focus on the role:
- Strong Machine Learning experience (not Data Science). Could be from a Data Engineering background.
- LLM Model deployment
- CI/CD
- Pricing
- Must have strong experience in Data Bricks, ideally Azure. However, happy to also look at AWS should the individual have the drive and experience to transfer knowledge.
- Strong Modelling experience
- Must have Model Productionisation experience
- Have prior pricing knowledge or have delivered ML techniques to existing pricing models.
- Financial Services or Insurance experience would be preferable but not limited to.
- Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory.
This is a fantastic role for an experienced Machine Learning Engineer or Pricing Optimisation Manager with a passion for innovation, optimisation and model productionisation.
Location: UK Remote
Salary: Up to £80,000 + excellent benefits
Applicants MUST have right to work in the UK. Sponsorship is NOT Available for this role.
Senior Machine Learning Engineer employer: TCM Partners
Contact Detail:
TCM Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and machine learning fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to pricing models. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Databricks, Azure, and model productionisation. Practice common interview questions and think about how you can demonstrate your leadership potential, even if you haven’t held a senior role before.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that dream job!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Machine Learning experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in model productionisation and pricing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background fits perfectly with our needs. Mention any specific experiences with Databricks or Azure that make you a great fit for our team.
Showcase Your Projects: If you've worked on any exciting Machine Learning projects, especially those related to pricing or financial services, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at TCM Partners
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially around model productionisation and deployment. Be ready to discuss your hands-on experience with tools like Databricks and Azure, as well as any projects where you've successfully implemented ML models in a pricing context.
✨Show Off Your Project Leadership Skills
Even if you haven't held a formal leadership role, think about times when you've taken the lead on projects or mentored others. Prepare examples that highlight your ability to guide a team and drive projects forward, as this will resonate well with the senior responsibilities of the role.
✨Get Familiar with Pricing Models
Since this role focuses on pricing, it’s crucial to understand how machine learning can optimise pricing strategies. Brush up on any relevant financial services or insurance knowledge you have, and be prepared to discuss how your skills can enhance existing pricing models.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to machine learning and their expectations for the role. This shows your genuine interest and helps you gauge if the company is the right fit for you.
