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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 Senior Machine Learning Operations Engineer 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 in London employer: TCM Partners
Contact Detail:
TCM Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those in Machine Learning or Insurance. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects, especially any related to pricing models. This will give potential employers a taste of what you can bring to the table.
✨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. We want to see your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Machine Learning Engineer in London
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 background aligns with the role, so don’t be shy about showcasing your skills 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 excited about this role and how your experience fits into our team. Mention specific technologies like Databricks and Azure that you’ve worked with, as we love seeing that hands-on experience.
Showcase Your Projects: If you've got any projects that demonstrate your expertise in ML model deployment or pricing optimisation, include them! We’re keen to see real-world applications of your skills, so don’t hesitate to share links or summaries of your work.
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 exciting opportunity. Plus, it makes it easier for us to keep track of all the amazing talent out there!
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 the Company’s Focus
Research the insurance industry and understand how machine learning is being applied, particularly in pricing. This knowledge will help you connect your skills to their needs and demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect some technical questions during the interview, so be ready to dive deep into your experience with CI/CD processes and the full tech stack mentioned in the job description. Practise explaining complex concepts in simple terms, as this will show your communication skills and understanding of the subject matter.
