Are you ready to define how machine‑learning systems are delivered,operated, and scaled across a data‑drivenorganisation? NewDayarelooking foraLead ML Engineer to set the standards, patterns, and technical foundations thatdefine howmachinelearningmodels are deliveredandoperatedin production.
Why this role matters
As the technical lead within ourMLOpsfunction, you will shape how ML is engineered in practice.This rolewillfocusonestablishingthe standards, patterns, and technical approaches that enable models to move reliably from experimentation into robust production.
You will shape how ML systems are engineered in practice through clear lifecycle standards, reusable approaches, and strong technical foundations.
Howyou'llcontribute
Establish standard, reusable patterns for model serving, pipelines, and deployment.
Define standards for model packaging, versioning, CI/CD,monitoringand observability.
Set clear production readiness criteria for models entering engineering workflows.
Provide technical direction for ML solutions delivered within the team.
Evolve platform capabilities that reduce bespoke approaches over time.
Reduce engineering effort required toproductionisemodels byestablishingreusable approaches and platform capabilities.
We’relooking for these essential skills
Experience building and operating ML systems in production, including model serving, monitoring, and lifecycle management.
Strong understanding of serving patterns across batch and real‑time environments, and how models move from training to production.
Experience defining engineering approaches that enable Data Science teams to deliver reliable, production‑ready models.
Ability to turn ambiguity into clear, adoptable technical standards and reusable patterns.
Experience setting technical direction and influencing engineering practices across teams.
Hands‑on experience with cloud ML platforms (e.g., AWS SageMaker) and orchestration tools (e.g., Airflow, Step Functions)
Strong communicationskills and the ability to collaborate across Data Science, Engineering, andData Platforms.
How you work
You are comfortable operating at the boundary between experimentation and production‑grade ML delivery.
You value structure, consistency, andhigh standardsin engineering practices.
You think in terms of reusable frameworks rather than one‑off solutions.
You are motivated by improving reliability and long‑term maintainability of ML systems.
You bring clarity, direction, and technical leadership to complex problem spaces.
#LI-Hybrid
#LI-TM1
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 protected characteristics or identities. 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 work with Textio to make our job design and hiring inclusive.
Permanent
At NewDay, our business is focused on a single, clear and defining purpose: to help people move forward with credit.
We provide nearly 4 million customers with responsible access to credit, underpinned by best-in-class customer service and exceptional user experience. Our in-house, highly scalable digital platform alongside our proprietary credit decisioning capability unlocks our competitive advantage.
Our broad credit product offering enables instalment finance, BNPL, 0% finance and carded and digital revolving credit. We operate multiple direct-to-consumer products and a range of credit solutions with some of the UK’s most loved brands.
Our underwriting capability and experience allow us to responsibly say yes to more UK customers making us a merchant partner of choice. We partner to harness the power of data to drive commerce across the UK, creating value at scale.
