Join to apply for the ML Ops Engineer role at Aldermore Bank
Join to apply for the ML Ops Engineer role at Aldermore Bank
Let Us Tell You a Bit About The Opportunity
We’re investing in our Data capabilities and have a newly created opportunity for an experienced ML Ops Engineer to join our Data Delivery Team. As a ML Ops Engineer within our Chief Data Office, you’ll play a key role in taking our data and technology strategy to the next level by enabling our cloud services for use across all our business use cases.
In this specialist role you’ll work closely with both data delivery and data science teams to enable AWS and Azure environments as required by the various programmes. You’ll support with the setup, maintenance and enhancement of data lab environments and the enablement of new tooling for data science and other use cases. You’ll also be empowered to support in the automated deployment and maintenance of data science and other cloud native functionality through dev to production environments
What will your day look like?
* Design and Deliver cloud based platforms on both AWS and Azure
* Own and drive the enablement of data lab environment(s) for use in data science, enabling new tooling as required by the team
* Management and promotion of data science models to higher environments
* Deployment and maintenance of wider cloud services for foundational capabilities (databases, ETL tooling, storage etc)
* Collaborate with business and technical teams to agree services required and enable them with clear communications of status, and usage
* Continuously explore new data analytics techniques and tools to improve efficiency and analytical capability within the team.
What do we expect from you?
* ML ops experience essential
* Proficiency in SQL, and Python or similar programming languages for data analysis and manipulation.
* Cloud engineering experience with AWS and Azure
* Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse with an understanding of automated Terraform deployment methods
* Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation
* Expertise in data visualization tools, including Tableau (nice to have), Power BI (nice to have), and Excel (must have).
* Exceptional communication and collaboration skills to work effectively with cross-functional teams.
* Familiarity with banking products, services, and regulatory frameworks is advantageous.
What can you expect from us?
* A friendly and flexible culture, the same as how we work with our customers.
* A growing organisation that means there’s lots of opportunities to progress
* A drive for continuous improvement, which you will be empowered to get behind from day one.
* And of course, you will be rewarded competitively, with a good range of core benefits and bonus potential.
Let Us Tell You a Bit More About Us
We’re Aldermore – the award-winning bank, trusted and highly rated by over a quarter of a million customers for more than a decade. With our range of specialist mortgages, savings accounts and business finance solutions, we're backing more people to go for it.
We thrive by saying “yes” to our customers. We respect the ingenuity of entrepreneurs and their startups; we give first-timers a leg-up onto the property ladder; we open up the lending market to many; and thousands of customers chose Motonovo Finance every week to buy their next car, van or motorbike.
This is where you come in. We are on a journey. A journey defined by a destination; to deliver on our purpose.
Still curious?
Join us and we’ll make the same promises to you as a colleague, as we do to each of our customers. We’re committed to building a working environment that values respect, diversity, and compassion. We welcome people regardless of age, disability, gender identity, marital status, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave.
Please note that we have a thorough referencing process, which includes criminal record checks
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Banking
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