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Lead ML Engineer
Lead ML Engineer
About NewDay
NewDay are seeking a Lead ML Engineer to define how machine-learning systems are delivered, operated, and scaled within a data-driven organisation. This role will set the standards, patterns, and technical foundations that enable models to transition reliably from experimentation to robust production.
Why This Role Matters
As the technical lead within NewDay’s MLOps function, you will shape how ML systems are engineered in practice. Your responsibilities include:
- Establishing meaningful standards, patterns, and technical approaches
- Guiding models through clear lifecycle stages
- Ensuring robustness when transitioning from experimentation to production
- Defining reusable practices that reduce engineering effort
How You’ll Contribute
As Lead ML Engineer, you will:
- Design standard reusable patterns for model serving, pipelines, and deployment
- Define standards for model packaging, versioning, CI/CD, monitoring, and observability
- Set production readiness criteria for models adopted by engineering workflows
- Provide technical direction for ML solutions across the team
- Evolve platform capabilities, reducing reliance on bespoke solutions
- Streamline model productionisation by establishing frameworks that lower effort
Essential Skills & Experience
This role requires expertise in:
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- Building, operating, and maintaining ML systems in production, including:
- Model serving
- Monitoring
- Model lifecycle management
- Understanding of serving patterns (batch vs. real-time) and the process of deploying models from training to production
- Collaboration with Data Science teams to create reliable, production grade solutions.
- Crafting clear engineering guidelines from complexity—drafting reusable patterns discussed across teams
- Setting technical direction and influencing engineering practices successfully
- Experience with cloud ML platforms (e.g., AWS SageMaker) and orchestration tools (e.g., Airflow, Step Functions)
- Strong communication skills and the ability to collaborate across multiple teams, including Data Science, Engineering, and Data Platforms.
How You Work
- Comfortable in the gray zone between experimentation and production-grade ML delivery
- Focuses on structured, consistent engineering practices and high standards
- Emphasises reusable frameworks over tactical one-off solutions
- Motivated by:
- Improving reliability of ML systems
- Increasing scalability and long-term maintainability
- Brings clear, direct technical leadership to complex environments and delivers considerable influence.
Company Overview
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NewDay supports over 5 million UK customers annually, powering:
- Over 300 million transactions via innovative consumer credit and embedded finance products.
- Brands include Aqua, Marbles, Fluid, Bip, and NewPay
- Partnerships with industry leaders such as AO, Argos, Boohoo, John Lewis, Lloyds Bank.
Our customer service is award-winning.
Key Responsibilities Included
- Core: Technical leadership shaping production ML systems
- Enabling: Collaboration with wider engineering and data communities
Diversity & Inclusion at NewDay
NewDay values all types of diversity and operates as an equal opportunity employer. We actively promote an environment that encourages colleagues to bring their whole selves to work.
Accommodation Statement:
If you need reasonable adjustments to support your job application process—including accommodations for disabilities or caring responsibilities—tell us. We’ll ensure accommodations are in place for you.
NewDay partners with Textio to refine job descriptions and hiring processes to be more inclusive.
Permanent Position
Each role at NewDay undergoes careful impact analysis to ensure maximum inclusivity.
Awards, recognition, and scale are only meaningful if we all get to participate, succeed—together. Welcome.
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