MLOps Engineer
Belfast, United Kingdom
Danske Bank
We are a Nordic bank with strong local roots and bridges to the rest of the world.Your Career, Your Danske Bank
Your role: MLOps Engineer
Why you’ll want to work with us:
At Danske Bank we’re driven by a clear purpose to help customers, colleagues and society thrive. We believe what we do genuinely makes a difference. That includes investing in our people, ensuring everyone feels that they belong and being there for the moments that matter.
Danske Bank recognises the power that comes with diversity of thought and perspective, it makes us stronger as a business and creates a true sense of belonging for our colleagues. To be the best we can be, we depend on diverse thinking, beliefs, experiences, and backgrounds. We have a clear purpose – Helping our Customers, Colleagues & Society thrive - and our Diversity and Inclusion Strategy is central to that. We recognise that everyone does not have an equitable starting point, and, by focusing on ‘equality’, we are making sure that everyone has an equal opportunity to reach their full potential. Our customers come from all walks of life, and so should our colleagues.
Driving sustainability is a key strategic priority for us. We’d proud to have achieved Platinum Level in the 2022 Northern Ireland Environmental Benchmarking Survey and we’re working hard to help our customers go green.
We’re passionate about giving back to the communities in which we live and work. There are lots of ways you can get involved, such as fundraising for our charity partner, visiting schools to teach young people about money and budgeting, volunteering with a local food bank, planting trees, and so much more.
No wonder we are recognised by Best Companies as Northern Ireland’s number one best company to work for. So, if you share our values and enthusiasm and all of what we stand for resonates with you, then you will find a home at Danske Bank.
What does this role include?
The MLOps Engineer role sits within our Data Analytics and Insights team, part of the Technology & Digital Development (Tⅅ) business unit, reporting to the Data Analytics Development Manager. The Data Analytics and Insights team provides Danske Bank with a centralised data reporting and analytics services across multiple Bank functions.
The purpose of the MLOps Engineer is to bolster Danske Bank UK's GenAI initiatives by focusing on the development of the underlying infrastructure for our applications. This is a new role within Tⅅ, with business requirements still being defined around GenAI utilisation for the Bank. Therefore, the successful candidate must be willing to have an open mindset, to adapt with business needs and the ability to use their initiative to overcome obstacles. Collaboration across Tⅅ teams as well as Group functions is essential for success. Building relationships, partnering with teams across the Bank, using influencing skills to gain trust and drive deliverables are all key skills for this role.
Essential skills
- Evidence of strong communication skills and ability to work in a team
- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
- Experience with MLOps Frameworks like Kubeflow, MLFlow, Airflow etc., experience with Docker and Kubernetes, OpenShift
- Programming languages like Python, Bash, knowledge of frameworks such PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientist and experience with software development and test automation
Please clearly indicate on your CV how you meet all of the essential criteria
Your benefits:
We want to be a workplace in which our colleagues can succeed and feel empowered through all stages of their career and life. We also offer an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone’s circumstances are different and our benefits can be tailored to your needs.
As well as offering a competitive salary, this role includes 40 days annual leave per year (30 days leave plus 10 days paid bank holidays), funded private medical care, up to 10% pension contribution and a car allowance.
How we work
Our belief is that we are “Better when Together” and want to balance the benefits of teaming up in person with flexible working where possible. This is a 35 hour per week role, but flexibility and some travel may be required depending on business needs.
We work in a hybrid environment and we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it’s really important to be able to work with customers face to face and hybrid working isn’t appropriate.
If this sounds good to you, we’d love to hear from you. Apply by uploading your CV ensuring you have included enough detail to clearly demonstrate how you meet our criteria.
If you’d like to ask a question about this job, just ask Lee Prentice (lpre@danskebank.co.uk)
Good luck!
If you have a disability, long term health condition or additional need that requires accommodation or adjustments during any stage of the recruitment process, just let us know how we may be able to help by giving our HR team a call on 028 9004 8500. If you would prefer to email us you can reach us here at recruitmentuk@danskebank.co.uk
Each one of us is different, and at Danske Bank we value and respect individual differences. Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of (but not limited to); gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression and cognitive diversity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Data Analytics Docker GCP Generative AI Kubeflow Kubernetes MLFlow MLOps Pipelines Python PyTorch TensorFlow
Perks/benefits: Career development Competitive pay Flex hours Health care Medical leave Startup environment Wellness
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