Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Lead ML Engineer role.
Rezi rewrites your resume against NewDay's job description. Free.
Tailor your resume to this Lead ML Engineer role.
Rezi rewrites your resume against NewDay's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Lead ML Engineer posting at NewDay — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Lead ML Engineer posting at NewDay — free, in seconds.
About the Role
As the technical lead within our MLOps function, you will shape how ML is engineered in practice. This role will focus on establishing the 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.
Responsibilities
- Establish standard, reusable patterns for model serving, pipelines, and deployment.
- Define standards for model packaging, versioning, CI/CD, monitoring and 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 to productionise models by establishing reusable approaches and platform capabilities.
Requirements
- 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 communication skills and the ability to collaborate across Data Science, Engineering, and Data Platforms.
- Comfortable operating at the boundary between experimentation and production‑grade ML delivery.
- Values structure, consistency, and high standards in engineering practices.
- Thinks in terms of reusable frameworks rather than one‑off solutions.
- Motivated by improving reliability and long‑term maintainability of ML systems.
- Brings clarity, direction, and technical leadership to complex problem spaces.
Skills
- MLOps
- Model Serving
- Pipeline Development
- Deployment Strategies
- Model Packaging
- Model Versioning
- CI/CD
- Monitoring
- Observability
- Production Readiness Criteria
- ML System Design
- Batch Processing
- Real-time Processing
- Cloud ML Platforms (AWS SageMaker)
- Orchestration Tools (Airflow, Step Functions)
- Communication
- Collaboration
Location
- Hybrid
Work Type
- Permanent
- Hybrid
Experience Level
- Lead
About the Company
- 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.
Equal Opportunity
- 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.