Job Description
MLOps Engineer
Award Winning Bank
£85K - 100K base + 11% bonus (10% Pension, Private medical & dental, 30 days Annual leave + 8 days public holidays)
Hybrid (2 days a week) - London, Reading, Manchester or Cardiff
We are excited to partner with an award-winning bank that is rewriting the rules of modern banking.
Our client is combining human expertise with smart digital solutions to deliver straightforward, flexible financial products. Whether it’s helping businesses unlock growth, supporting individuals to achieve their goals, or providing savings that really work, they champion those who dare to do things differently.
The Opportunity
As an MLOps Engineer, you’ll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Playing a key part in kick-starting their journey into AI and ML.
You’ll be collaborating closely with cross-functional teams, from setting up and managing data labs to enabling new tooling to deploying data science models into production, and you’ll also play a pivotal role in helping our client scale and modernise.
What you’ll bring
- MLOps experience essential
- Proficiency in SQL and Python
- Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial)
- Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse
- Understanding of automated Terraform deployment methods
- A background in leading complex AI/ML/Data initiatives
- Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation
- Expertise in data visualisation tools, including Excel, Tableau, and Power BI
- Exceptional communication and collaboration skills to work effectively with cross-functional teams.
Why join our client?
- A chance to lead the direction of machine learning, data and cloud services across the business.
- An opportunity to contribute to the growth and direction of the business capabilities and building a successful team around you.
- Competitive base salary
- 30 days Annual leave + Bank Holidays
- Continuous exploration of new data analytics techniques and a change to drive MLOps across a growing business unit.