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- Tasks: Lead the deployment of machine learning models and drive data-driven innovation.
- Company: Join Hastings Direct, a digital insurance provider with ambitious growth plans.
- Benefits: Enjoy flexible working, competitive bonuses, and comprehensive wellbeing support.
- Why this job: Make a real impact in pricing strategies using cutting-edge AI and ML technologies.
- Qualifications: Strong programming skills in Python and experience with machine learning techniques required.
- Other info: Be part of a collaborative culture that values curiosity and diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior ML Ops Engineer in the Market Pricing team, you will be reporting to the Head of Market Pricing, working 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.
Key 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.
Qualifications
- Proven track record of delivering commercial value using supervised machine learning techniques.
- Advanced Python programmer, and experience with 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.
About Hastings Direct
We are a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We have made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. We provide insurance for over four million customers, but we know there’s even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company. Pricing is more than just a number - it’s a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics. Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need.
Benefits
- Flexible working - we champion a flexible hybrid working approach.
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus.
- Physical wellbeing - Hastings pay for you to receive private medical Insurance (also known as PMI).
- Financial wellbeing - providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%.
- Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs.
- 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more.
Senior ML Ops Engineer in City of London employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Ops Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Hastings Direct. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to ML Ops. This is your chance to demonstrate your programming prowess and innovative solutions.
✨Tip Number 3
Ace the interview by being ready to discuss real-world applications of your work. Think about how you've used machine learning to solve problems and be prepared to share specific examples that highlight your impact.
✨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, it shows you're genuinely interested in joining our team at Hastings Direct.
We think you need these skills to ace Senior ML Ops Engineer in City of London
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 Market Pricing team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our goals at Hastings Direct. Don’t forget to mention your interest in emerging ML techniques and how you can contribute to our innovative culture.
Showcase Your Projects: If you've worked on any cool projects or have experience with AI/ML pipelines, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to drive projects from initiation to completion.
Apply Through Our Website: We encourage you to apply through our careers website for the best chance of getting noticed. It’s super easy, and you’ll find all the info you need about the role and our company culture. Plus, we’re excited to see your application come through!
How to prepare for a job interview at Hastings Direct
✨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 SQL and Git too, as these will likely come up in technical discussions.
✨Showcase Your Project Experience
Be ready to discuss specific projects where you've delivered commercial value using supervised machine learning techniques. Highlight your role in driving projects from initiation to completion, and how you engaged with stakeholders to gather business requirements.
✨Emphasise Collaboration Skills
Since the role involves working cross-functionally with various teams, demonstrate your ability to collaborate effectively. Share examples of how you've worked with different teams in the past, particularly in developing market pricing data landscapes.
✨Stay Updated on Emerging Trends
Express your keen interest in emerging machine learning techniques and cloud technologies. Research recent advancements in the field and be prepared to discuss how they could benefit the company's pricing strategies and data-driven innovation.
