Azure ML & MLOps Engineer for Public Sector in Chelmsford

Azure ML & MLOps Engineer for Public Sector in Chelmsford

Chelmsford Full-Time 47615 - 56017 £ / year (est.) Home office (partial)
E

At a Glance

  • Tasks: Lead the MLOps lifecycle and deploy AI solutions for public sector impact.
  • Company: Essex County Council, a dynamic local authority focused on innovation.
  • Benefits: Competitive salary, flexible working, and support for career development.
  • Other info: Join a supportive team committed to community service and professional growth.
  • Why this job: Make a real difference with AI while ensuring ethical and responsible practices.
  • Qualifications: Degree in a quantitative field and experience with Azure Machine Learning.

The predicted salary is between 47615 - 56017 £ per year.

AI / ML Engineer

Fixed Term, 12 months

Full Time, 37 hours per week

£47,615 to £56,017 per annum

Location: Chelmsford

Working Style: Anywhere worker

Closing Date: 7th June 2026

Interviews: expected to be held w/c 22 June 2026

Essex County Council’s Data, Analytics and Performance function provides high quality data, analytics, and AI-driven insight to support evidence based decision making and improve outcomes for residents. Within this environment, the AI/ML Engineer plays a pivotal role in delivering responsible, secure, and sustainable AI and machine learning solutions.

The Opportunity

As an AI/ML Engineer you will lead the end to end MLOps lifecycle—enabling the organisation to harness data and AI safely, ethically, and at scale. Working closely with Data Scientists, Data Engineers, Information Governance, and service teams, you will deploy, monitor, and maintain robust machine learning systems aligned to public sector governance, responsible AI principles, and UK Local Government standards.

Accountabilities

  • Deliver end to end MLOps pipelines using Azure Machine Learning, including training, validation, testing, and deployment workflows, to ensure machine learning solutions are delivered consistently, safely, and at scale.
  • Deploy and manage machine learning models using Azure ML managed online endpoints, batch endpoints, and (where appropriate) Azure Kubernetes Service (AKS).
  • Ensure all machine learning systems are robust, transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR.
  • Implement monitoring and alerting for model performance, data drift, bias, fairness, explainability, and operational health.
  • Design, build, and maintain production grade data pipelines that support model training, inference, and retraining.
  • Ensure responsible, ethical, and legally compliant use of data across AI solutions.
  • Coach and support Data Scientists, Analysts, and other colleagues in Azure Machine Learning and MLOps best practice.
  • Contribute to organisation wide AI capability building and adoption.

Knowledge, Skills and Experience

  • Educated to degree level in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, or Engineering) or equivalent by experience.
  • Strong hands on experience deploying ML solutions in production using Azure Machine Learning.
  • Expertise in Azure native MLOps, including model endpoints, pipelines, registries, environments, and compute management.
  • Skilled in Python engineering for production ML workflows.
  • Familiarity with responsible AI principles, fairness, explainability, and UK GDPR compliance.
  • Experience working in multidisciplinary teams and engaging with service stakeholders.
  • Ability to distil complex technical concepts into actionable insights for non-technical audiences.

Desirable

  • Experience with Azure ML AutoML, Prompt Flow, Responsible AI dashboards, and advanced monitoring capabilities.
  • Integration of ML operational metrics into Power BI.
  • Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Administrator/Architect).

Why Essex?

As one of the largest and most dynamic UK local authorities, Essex offers a stimulating public service environment. Covering over 1,420 square miles and serving 1.8 million residents, we’re committed to transformational change and delivering better quality at lower cost.

Essex County Council is proud to be a Disability Confident Leader. We’re committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job.

At Essex County Council, we value integrity and ethical behaviour. We kindly ask that you embrace our code of conduct and the Nolan principles, including throughout the recruitment process.

If you would like to be kept up to date on other relevant opportunities, blogs, news, events and industry related news at Essex County Council, please join The Essex Talent Community.

Azure ML & MLOps Engineer for Public Sector in Chelmsford employer: Essex County Counci

Essex County Council is an exceptional employer, offering a dynamic public service environment that prioritises innovation and employee development. With flexible working arrangements, a commitment to ethical practices, and a focus on building AI capabilities, employees are empowered to make a meaningful impact in the community while enjoying numerous benefits and growth opportunities. Join us in shaping the future of local governance and delivering high-quality services to over 1.8 million residents.

E

Contact Details:

Essex County Counci Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure ML & MLOps Engineer for Public Sector in Chelmsford

Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research the company and practice common interview questions. We want you to feel confident and ready to showcase your skills, especially in Azure ML and MLOps.

Tip Number 3

Show off your projects! If you've worked on any relevant AI/ML projects, make sure to discuss them during interviews. This is your chance to demonstrate your hands-on experience and problem-solving skills.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Azure ML & MLOps Engineer for Public Sector in Chelmsford

Azure Machine Learning
MLOps
Python Engineering
Model Deployment
Data Pipeline Development
Responsible AI Principles
UK GDPR Compliance

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Azure ML and MLOps. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!

Showcase Your Technical Skills:When detailing your experience, focus on your hands-on work with Azure Machine Learning and any specific tools you've used. We love seeing practical examples of how you've deployed ML solutions in production, so be specific!

Emphasise Collaboration:This role involves working closely with various teams, so highlight your experience in multidisciplinary settings. Share examples of how you’ve effectively communicated complex technical concepts to non-technical audiences—this is key for us!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it’s super easy to do—just follow the prompts and you’ll be set!

How to prepare for a job interview at Essex County Counci

Know Your Azure Inside Out

Make sure you brush up on your Azure Machine Learning skills. Be ready to discuss how you've deployed ML solutions in production and the specific Azure tools you've used. Familiarity with Azure native MLOps will definitely give you an edge!

Showcase Your Ethical AI Knowledge

Since this role emphasises responsible AI, be prepared to talk about fairness, explainability, and compliance with UK GDPR. Share examples of how you've implemented these principles in past projects to demonstrate your commitment to ethical AI practices.

Prepare for Technical Questions

Expect some technical questions related to Python engineering and MLOps pipelines. Brush up on your knowledge of testing, packaging, and API frameworks like FastAPI or Flask. Being able to articulate your thought process will impress the interviewers.

Engage with Real-World Scenarios

Think of real-world scenarios where you've had to collaborate with multidisciplinary teams. Be ready to discuss how you distil complex technical concepts into actionable insights for non-technical audiences. This will show your ability to communicate effectively across different stakeholders.