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- Tasks: Deploy machine learning models and mentor junior staff in a dynamic team.
- Company: Leading digital insurance provider in the UK with a focus on innovation.
- Benefits: Competitive bonus scheme, private medical insurance, and mental wellbeing support.
- Why this job: Join a collaborative environment and lead innovative data processes in hybrid work.
- Qualifications: Advanced Python skills, SQL knowledge, and cloud deployment experience required.
- Other info: Great opportunity for career growth in a supportive workplace.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital insurance provider in the UK seeks a Senior ML Ops Engineer to enhance their Market Pricing team. The role involves deploying machine learning models, mentoring junior staff, and innovating data processes.
Ideal candidates should have:
- Advanced Python skills
- SQL knowledge
- Experience in cloud deployments like Azure or AWS
The company promotes collaboration and offers hybrid working options, a competitive bonus scheme, and extensive benefits including private medical insurance and a focus on mental wellbeing.
Senior ML Ops Engineer - Hybrid Cloud & ML Pipelines Leader 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 - Hybrid Cloud & ML Pipelines Leader in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your advanced Python and SQL skills in action.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on cloud deployments, especially Azure and AWS. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative data processes.
We think you need these skills to ace Senior ML Ops Engineer - Hybrid Cloud & ML Pipelines Leader in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced Python skills and SQL knowledge in your application. We want to see how you’ve used these skills in real-world scenarios, especially in cloud deployments like Azure or AWS.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior ML Ops Engineer role. Mention your experience with deploying machine learning models and mentoring junior staff.
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for innovation in data processes and how you can contribute to our collaborative culture.
Apply Through Our Website: For the best chance of success, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it gets to the right people quickly!
How to prepare for a job interview at Hastings Direct
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've deployed machine learning models, especially in cloud environments like Azure or AWS. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior staff, think of examples where you've successfully guided others. Prepare to share how you approach teaching complex concepts and fostering a collaborative environment. This will highlight your leadership potential and fit within their team culture.
✨Innovate with Data Processes
The company is looking for someone who can innovate data processes. Come prepared with ideas or examples of how you've improved workflows or implemented new technologies in past roles. This will demonstrate your proactive mindset and ability to drive change.
✨Emphasise Work-Life Balance
With a focus on mental wellbeing and hybrid working options, be ready to discuss how you maintain a healthy work-life balance. Share your thoughts on remote collaboration and how you ensure productivity while working from home. This shows that you align with their values and understand the importance of wellbeing in the workplace.
