Senior ML Ops Engineer in Melton Mowbray

Senior ML Ops Engineer in Melton Mowbray

Melton Mowbray Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the ML Ops team to deploy and maintain machine learning models for pricing strategies.
  • Company: Join Hastings Direct, a digital insurance provider with bold ambitions.
  • Benefits: Enjoy flexible working, competitive salary, private medical insurance, and a generous bonus scheme.
  • Why this job: Make a real impact in a dynamic environment while driving data-driven innovation.
  • Qualifications: Strong programming skills in Python and experience with machine learning techniques required.
  • Other info: Be part of a supportive culture focused on growth and inclusivity.

The predicted salary is between 36000 - 60000 £ per year.

Welcome to Hastings Direct. We’re a digital insurance provider with bold ambitions to become the best and biggest in the UK market. Over recent years, we’ve made huge investments in our digital capabilities, underpinned by our strong 4Cs culture, to ensure we continue to deliver market leading experiences for our customers. Supporting over four million customers, every interaction with us is shaped by thoughtful design, data-led decision making and a deep understanding of customer needs.

As part of Hastings’ ongoing commitment to Data Science & Modelling to power our growth ambitions, we need experienced people to help us deliver our objectives. This effort has the full support of the business, benefits from a state-of-the-art tech stack and inputs from the entire Pricing, Data and Analytics community at Hastings, and a network of data scientists and machine learning engineers across the Market Pricing team & beyond.

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.

How you will make a difference:

  • 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.

What we’re looking for:

  • 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.

Interview Process:

  • Recruiter screening call.
  • 1st Round – Intro call with Hiring manager.
  • 2nd Round – Case study round followed by call with Hiring leader.

What we will give you:

  • Flexible working – we champion a flexible hybrid working approach.
  • Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus.
  • Physical wellbeing – private medical insurance (PMI).
  • Financial wellbeing – life assurance cover, income protection, and matched pension contributions up to 10%.
  • Mental wellbeing programme – access to mental health resources and support.
  • 27 days annual leave + bank holidays, with options to buy or sell leave.
  • Access to health care cash back plans, dental plans, and discounted health assessments.
  • Social events throughout the year.

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us.

Senior ML Ops Engineer in Melton Mowbray employer: Hastings Direct

Hastings Direct is an exceptional employer that prioritises a supportive and inclusive work culture, offering flexible hybrid working arrangements and a comprehensive benefits package including private medical insurance, mental wellbeing programmes, and generous annual leave. As a Senior ML Ops Engineer, you will have the opportunity to lead innovative projects in a dynamic environment, with ample training and development resources to foster your professional growth while contributing to meaningful change for over four million customers.
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Contact Detail:

Hastings Direct Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Ops Engineer in Melton Mowbray

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Hastings Direct. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for your interviews by diving deep into ML Ops topics. Brush up on your Python skills and be ready to discuss your past projects. We want to see your passion for data and how you can contribute to our team!

✨Tip Number 3

Showcase your problem-solving skills during the case study round. Think out loud and demonstrate your thought process. Remember, we’re looking for innovative thinkers who can tackle challenges head-on!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about our culture and values right there.

We think you need these skills to ace Senior ML Ops Engineer in Melton Mowbray

Machine Learning
Python Programming
Data Manipulation
NumPy
Pandas
scikit-learn
SQL
Git
Cloud Deployments
Azure
AWS
GCP
Project Management
Cross-Functional Collaboration
Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior ML Ops Engineer role. Highlight your programming skills, experience with machine learning, and any relevant projects you've worked on. We want to see how your background aligns with our needs!

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 you can contribute to Hastings Direct. Be sure to mention specific experiences that demonstrate your fit for the role.

Showcase Your Technical Skills: Since this role requires advanced knowledge in Python, SQL, and cloud technologies, make sure to showcase these skills prominently. Include any relevant certifications or projects that demonstrate your expertise in these areas.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Hastings Direct

✨Know Your Tech Stack

Make sure you’re familiar with the specific technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of libraries like NumPy and Pandas, as well as Git. Being able to discuss these tools confidently will show that you're ready to hit the ground running.

✨Prepare for Case Studies

Since there's a case study round in the interview process, practice solving real-world problems related to ML Ops. Think about how you would approach deploying machine learning models and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.

✨Show Your Passion for Data

Express your enthusiasm for data science and machine learning during the interview. Share examples of projects you've worked on or emerging techniques you're excited about. This will help convey your genuine interest in the role and align with Hastings Direct's focus on data-led decision making.

✨Engage with Stakeholders

Be prepared to discuss how you would engage with commercial stakeholders to gather business requirements. Highlight any past experiences where you successfully collaborated with cross-functional teams. This will showcase your ability to work effectively within a team and your understanding of the importance of stakeholder engagement.

Senior ML Ops Engineer in Melton Mowbray
Hastings Direct
Location: Melton Mowbray

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