ML Engineering Manager

NewDay; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading financial services provider in the UK is seeking a ML Engineering Manager to lead their team in delivering high-quality machine learning solutions. You will foster an environment that supports innovation while ensuring excellent delivery standards. The ideal candidate should possess strong leadership skills, emotional intelligence, and expertise in Python and machine learning libraries. Additionally, knowledge of CI/CD processes and cloud technologies will be advantageous. This hybrid role is based in London with a competitive salary and benefits.

Benefits

Bonus opportunity

Market-leading pension

Flexible working arrangements

Healthy meals in the office

Green car and cycle to work schemes

26 days holiday plus additional days with service

Qualifications

• Proven experience in leading successful machine learning teams.
• Strong communication skills and ability to unify people towards goals.
• Solid grasp of Python and associated libraries.

Responsibilities

• Lead the ML Engineering team to deliver high standards.
• Foster a psychologically safe and supportive work environment.
• Ensure delivery excellence and client satisfaction.

Skills

Team leadership

Emotional Intelligence

Production Machine Learning experience

Python programming

Knowledge of scientific Python libraries

CI/CD practices

Exploratory versus production workflow appreciation

Tools

Amazon Sagemaker

AWS cloud

Job description

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

Your new role at NewDay

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!

About NewDay

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 NewDay, 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.

Our dynamic NewDay culture

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 NewDay, #yourwellbeing matters : NewWork, 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.

0-12 months you\'ll deliver

• 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 NumPy 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.

Where next?

In the NewDay 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

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#LI-Hybrid