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- Tasks: Lead the ML Ops team to deploy and maintain innovative machine learning models.
- Company: Join a digital insurance provider with bold ambitions in the UK market.
- Benefits: Enjoy a competitive salary, flexible working, and extensive wellbeing programs.
- Why this job: Make a real impact on pricing strategies using cutting-edge AI and ML technologies.
- Qualifications: Strong programming skills in Python and experience with cloud deployments required.
- Other info: Inclusive culture with excellent career growth and support for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior ML Ops Engineer in the Market Pricing team, you will report to the Head of Market Pricing and work closely with the Motor and Home Market Modelling teams, stakeholders across all Pricing teams, Data and ML Engineering teams. You will play a pivotal role in the deployment and maintenance of machine learning models and data science solutions to extract the crucial predictive insight that underpins our pricing strategies and helps maintain our competitive edge. You will provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation.
Responsibilities
- Building reusable, maintainable, automated, and innovative processes and pipelines
- Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies
- Working cross-functionally with the wider Pricing, Data and Analytics teams to develop the market pricing data landscape
- Advocating for data science and software development best practices
- Leading, supporting, and mentoring junior colleagues
- Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities
- Lead the ML Ops team with strong programming skills and a proven track record of delivering commercial value using supervised machine learning techniques
- Advanced Python programmer, with experience in data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn)
- Advanced knowledge of data science technologies including tooling and platforms
- Advanced SQL knowledge
- Advanced in Git
- Ability to drive projects from initiation to completion
- Keen interest in emerging Machine Learning techniques
- Experience with Cloud deployments (e.g., Azure/AWS/GCP)
- Ability to work cross-functionally with other technical teams
Qualifications
- Strong programming skills and a passion for data
- Proven track record of delivering commercial value using supervised machine learning techniques
- Cross-functional collaboration experience
- Experience with cloud deployments and data tooling
About Us & Culture
We are a digital insurance provider with bold ambitions to become the best and biggest in the UK market. We have made significant investments in our digital capabilities and uphold a 4Cs culture to deliver market-leading experiences for customers. We operate as a Disability Confident employer and welcome applications from all suitably skilled persons. We are committed to an inclusive recruitment process and providing reasonable adjustments during hiring.
Benefits
We offer a competitive salary with a £5k car allowance, flexible hybrid working, a competitive bonus scheme, private medical insurance, life assurance, income protection, pension contributions, and a range of wellbeing and financial well-being programs. Additional benefits include 27 days annual leave plus bank holidays, health care cashback plans, dental plans, cycle-to-work schemes, discounted and free onsite facilities, social events, and more.
Equal Opportunity
Hastings Group is an equal opportunities employer. We welcome applications from all suitably skilled persons regardless of gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment, or marital/family status. We strive to provide fair access to support and adjustments throughout the recruitment journey. If you require any reasonable adjustments, please communicate this during the process.
Senior ML Ops Engineer in Bexhill-on-Sea employer: Hastings Insurance Services Limited
Contact Detail:
Hastings Insurance Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Ops Engineer in Bexhill-on-Sea
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the ML Ops space. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving machine learning and cloud technologies. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, SQL, and ML concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key, so show them you know your stuff!
✨Apply Through Our Website
We love seeing applications come through our website! It shows you’re genuinely interested in joining us. Plus, it’s a great way to stay updated on any new roles that pop up in the future.
We think you need these skills to ace Senior ML Ops Engineer in Bexhill-on-Sea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior ML Ops Engineer role. Highlight your experience with machine learning, cloud technologies, and any relevant projects that showcase your skills in Python and SQL. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about ML Ops and how your background aligns with our goals at StudySmarter. Don’t forget to mention your collaborative spirit and any mentoring experience you have.
Showcase Your Projects: If you've worked on any cool projects involving machine learning or data science, make sure to include them in your application. We love seeing real-world applications of your skills, so share what you've done and the impact it had!
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 the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Hastings Insurance Services Limited
✨Know Your Tech Inside Out
As a Senior ML Ops Engineer, you'll need to showcase your advanced Python skills and familiarity with data manipulation libraries like NumPy and Pandas. Brush up on your knowledge of machine learning techniques and cloud technologies, as these will likely come up in technical questions.
✨Showcase Your Collaboration Skills
This role involves working cross-functionally with various teams. Be prepared to discuss past experiences where you've successfully collaborated with stakeholders or mentored junior colleagues. Highlight how you gathered business requirements and coordinated project activities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think of specific examples where you've built automated processes or pipelines that delivered commercial value using supervised machine learning techniques.
✨Demonstrate Your Passion for Data Science
The company values innovation and data-driven strategies. Share your enthusiasm for emerging machine learning techniques and how you've applied them in previous roles. This will show that you're not just skilled but also genuinely interested in the field.
