Data & Analytics Specialist - MLOps Engineer

Morrisons; Tonedale; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Store discount

Annual bonus

Pension scheme

Private Healthcare

Holiday entitlement

Free parking onsite

Career progression

Job summary

Morrisons is seeking a Mid-Level Data MLOps Engineer to operationalise and scale ML models in production. The role focuses on building and automating the infrastructure powering retail ML initiatives, from forecasting to loyalty engines, using GCP Vertex AI, Terraform, and robust CI/CD pipelines.

You will collaborate with the Senior Data Ops leader and Data teams to design, implement, and iterate ML Ops frameworks, supporting forecast models that drive tangible business value and performance

Qualifications

• 3–5 years of production MLOps/DevOps/ML engineering experience focused on productionising models.
• Professional Python programming with clean, modular, testable code.
• Vertex AI Pipelines and managing production ML lifecycles in a real-world setting.
• BigQuery querying and orchestrating complex Airflow workflows.
• Jenkins scripts and container/artefact lifecycles in registries.
• Terraform IaC for secure, reproducible GCP environments.
• Experience with unit testing (pytest) and CI pipelines integration.
• Model deployment lifecycle including preprocessing, performance optimization, and serialization (e.g., Pickle, ONNX, SavedModel).
• Familiarity with container registries (GCP Artifact Registry) and secure CI/CD pipelines.
• Experience with data platform operations and monitoring model/data drift.

Responsibilities

• Design, orchestrate, and maintain automated ML pipelines using Vertex AI ML Pipelines and Airflow.
• Deploy models and manage inference latency to keep production Retail models accurate and reliable.

Skills

Python

Vertex AI

Airflow

BigQuery

Terraform

Jenkins

Docker

GCP

CI/CD

Unit testing

Tools

Kubernetes

GKE

Job description

More about the role

We are looking for a Mid-Level Data MLOps Engineer to operationalise, scale, and maintain our machine learning models in production. In this role, you will build and automate the infrastructure that powers our retail ML initiatives, from demand forecasting and inventory optimization to personalized customer loyalty engines. You will manage the end-to-end ML lifecycle on Google Cloud Platform (GCP) using Vertex AI, robust Infrastructure as Code (IaC), and secure CI/CD pipelines.

You work closely with our Senior Data Ops leader, our Data Science community and Data Engineering supplier, designing, building and iterating ML Ops frameworks. Supporting our forecasting data models that deliver tangible business value.

Work Structure

Model: Hybrid

On-site Expectancy: 3 days per week at our head office.

Key Responsibilities

ML Pipeline Automation: Design, orchestrate, and maintain automated machine learning pipelines using Vertex AI ML Pipelines and Apache Airflow.

Model Deployment & inference latency to ensure production retail models remain accurate and reliable.

More about you

Required Skills & Qualifications

Experience: 3 to 5 years of production experience in an MLOps, DevOps, or Machine Learning Engineering role focused on productionising models.

Programming: Professional-level proficiency in Python, with a deep understanding of writing clean, modular, and testable code.

ML Ops Stack: Professional experience implementing Vertex AI ML Pipelines and managing production machine learning lifecycles.

Data Technologies: Practical experience querying BigQuery and orchestrating complex workflows with Apache Airflow.

CI/CD & Registries: Solid experience configuring pipeline scripts in Jenkins and managing container/artefact lifecycles within image registries.

Infrastructure as Code: Hands-on experience writing and maintaining infrastructure modules using Terraform.

Quality Assurance: Direct experience establishing mandatory unit testing frameworks (e.g., pytest) and automated

Lifecycle: Own the model deployment process, including data pre-processing, performance optimisation, model serialisation (e.g., Pickle, ONNX, TensorFlow SavedModel), and automated

Infrastructure as Code: Provision and manage secure, reproducible GCP environments and ML infrastructure modules using Terraform.

CI/CD & Container Management: Build and optimize automated deployment pipelines using Jenkins, managing containerisation workflows with Docker and implementing secure container and artefact registries (e.g., GCP Artifact Registry).

Code Quality & Engineering Excellence: Enforce software engineering best practices within the data science lifecycle by implementing comprehensive unit test coverage and static code analysis into CI pipelines.

Data Platform Operations: Interface with our core retail data warehouse, optimizing data retrieval from BigQuery and streaming/batch feature processing via & Alerting: Implement monitoring systems for model drift, data drift, and, static code analysis tooling.

Preferred/Nice-to-Haves

Experience in supermarket retail or e-commerce, processing high-volume transaction data for demand forecasting or building and tuning scalable feature engineering pipelines inside Google Cloud DataflowGoogle Cloud certifications (e.g., Professional Machine Learning Engineer or Professional Cloud DevOps Engineer).Familiarity with Kubernetes and Google Kubernetes Engine (GKE) for hosting custom inference endpoints.

More about our perks

• 15% discount in store from the day you join us Additional 10% discount
• card for a friend or family member
• Annual bonus scheme
• Career progression and development opportunities
• Generous holiday entitlement
• Market leading pension scheme and life assurance
• Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers
• Free parking onsite
• Enhanced Family, Maternity and Paternity Leave
• Private Healthcare
• Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly.

In return for all your hard work, you will receive:15% discount in store from the day you join us Additional 10% discount card for a friend or family memberAnnual bonus schemeCareer progression and development opportunitiesGenerous holiday entitlementMarket leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailersFree parking onsiteEnhanced Family, Maternity and Paternity LeavePrivate Healthcare Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking!At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you!

At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too.We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.

Starting as a Bradford market stall, we are proud to be the Yorkshire retailer now serving over 11 million customers nationwide each week. We're unique: both foodmakers and shopkeepers, processing our own fresh produce and preparing more food in-store than any other supermarket.

We offer real opportunities to build your career across our stores, sites, and support teams. We're a down-to-earth team that values hard work, reliability, and great customer service. If you're friendly, dependable, and ready to get stuck in, there's always More to Morrisons for you.

Morrisons is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve.

We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it's required.