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- Tasks: Lead the deployment of machine learning models and innovate pricing strategies.
- Company: Join a digital insurance provider with bold ambitions and a collaborative culture.
- Benefits: Competitive salary, flexible working, private medical insurance, and generous leave.
- Why this job: Make a real impact in the insurance industry using cutting-edge AI and ML technologies.
- Qualifications: Strong programming skills in Python and experience with cloud deployments.
- Other info: Inclusive workplace committed to diversity and career growth opportunities.
The predicted salary is between 43200 - 72000 £ 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.
Senior ML Ops Engineer 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML Ops. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and cloud technologies. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and cloud deployments, as well as how you’ve collaborated with cross-functional teams.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior ML Ops Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior ML Ops Engineer role. Highlight your programming prowess, especially in Python and SQL, and any relevant cloud deployment experience. 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 tell us why you're passionate about machine learning and how your past experiences have prepared you for this role. Don’t forget to mention your interest in cross-functional collaboration and mentoring junior colleagues.
Showcase Your Projects: If you've worked on any cool projects involving machine learning or data science, make sure to include them! We love seeing practical examples of your work, especially if they demonstrate your ability to deliver commercial value and innovate within the field.
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 gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Hastings Insurance Services Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with libraries like NumPy, Pandas, and scikit-learn. Be ready to discuss your experience with cloud technologies like Azure, AWS, or GCP, as well as your knowledge of SQL and Git. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working cross-functionally, be prepared to share examples of how you've successfully collaborated with different teams in the past. Highlight any experiences where you gathered business requirements from stakeholders or mentored junior colleagues, as this will demonstrate your ability to lead and support others.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or describe how you would approach specific challenges in ML Ops. Think about past projects where you delivered commercial value using supervised machine learning techniques and be ready to explain your thought process and the impact of your work.
✨Emphasise Your Passion for Innovation
The company values data-driven innovation, so make sure to express your keen interest in emerging machine learning techniques. Share any personal projects or research you've done in this area, as it shows you're proactive and genuinely passionate about the field.