ML Engineering Manager

Overview

Permanent Full Time Data Science London - Hybrid N/A (Tech Role)

ML Engineering Manager

Working at our iconic office in King’s Cross, London, and virtually via Microsoft Teams

The Senior Manager for ML Engineering will help to drive high standards of delivery excellence within Machine Learning Engineering and MLOps. They will be crafting an environment that will help improve our decision making and customer outcomes. We are revolutionising the way the consumer lending experience works, come and help us create tomorrow!

We help people move forward with credit, and help our colleagues to move their careers forward too.

We use our highly flexible, scalable, and multi-product digital credit engine to power over million transactions every year. Our brands include Aqua, marbles, fluid and Bip. We partner with leading brands such as John Lewis, AO, Argos and DEKO.

Over 5 million UK customers are supported by our award-winning customer service.

At New Day, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of age, physical or mental disability, gender reassignment, marriage and civil partnership, pregnancy and carer status, race (including colour, nationality, and ethnic or national origin), religion or belief, sex and sexual orientation.

We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations : we’ll put reasonable adjustments in place to support you.

We’re focused on what will drive impact in helping people move forward with credit. Our distinctive culture is geared to spark innovation and team working – with lots of open doors for development. Our customers can rely on us because we aim high, support each other, do the right thing and build for the future.

We invest in our colleagues. On top of a strong market competitive salary, you get a bonus opportunity that matches the impact (delivery + values) you drive in your role. We also help you retire better with market leading pensions.

At New Day, #yourwellbeing matters :
New Work, our flexible, hybrid working approach, helps you to manage your work / life balance - and even bolt on work time in other countries before or after your holiday. And when you’re in the office, you get free healthy breakfast, fresh juices, lunch, barista coffee etc.

Our tax efficient green car and cycle to work schemes save you money (and help the planet).

You get 26 days holiday and can buy up to 5 more after probation. Then you’ll get extra days as you build your career with us.

Ask your Talent Acquisition Partner to tell you more about any of our perks.

• Lead Engineers involved in the Machine Learning lifecycle including ML and MLOps Engineers.
• Foster the right environment for success : psychologically safe with high challenge & high support.
• Build relationships with our ML business partners and deliver positive outcomes for them!
• Ensure excellent delivery standards and help to drive developer satisfaction.
• Be able to maintain a high level of what is important and set strategy accordingly but also able to dive in technical details if required.
• Articulate and reinforce the value of Engineering within Data Science workflows.

What you ll bring

We need knowledge, experience + expertise in :

• Led successful teams previously.
• High Emotional Intelligence : able to bring people together towards a common goal.
• Confirmed production Machine Learning experience.
• Python programmer with solid understanding of scientific Python eco-system including libraries like Num Py and pandas.
• Experience with Python ML libraries / frameworks and production software delivery such as CI / CD.
• Appreciation of the trade-offs between exploratory and production workflows

And would love you to know or have made :

• Talks at conferences / meetups or articles published on relevant topics.
• Amazon Sagemaker experience.
• AWS cloud knowledge.
• Open source contributions.

In the New Day Tech team, you’ll join an Expert or Leader career pathway. This will guide you on what your next step here could look like, with regular and open feedback to help you build capabilities to move forward.

Let’s talk about this role – contact

We work with Textio to make our job design and hiring inclusive.

#LI-Hybrid