Description

We are seeking a skilled MLOps Engineer to join our customer analytics team. The ideal candidate will be responsible for deploying, managing, and optimizing machine learning models in production environments. You will work closely with data scientists, software engineers, and IT operations to ensure seamless integration and scalability of ML solutions.

This is a hybrid role based in our Guildford office.

Salary Information

Pay: Circa £60,000 per year.

Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

About You

As the MLOps Engineer, you will be responsible for:

Setting up monitoring systems to track model performance and ensure reliability, scalability, and security of ML systems.
Optimizing model performance and resource utilization in production environments, ensuring efficient use of computational resources.
Diagnosing and resolving issues related to model deployment and performance in production environments.
Implementing security best practices to protect data and models in production environments.
Stay updated with the latest trends and technologies in MLOps and propose improvements to existing processes.
Ensuring ML systems comply with organizational, industry, and regional regulations (e.g., data residency, audit requirements).
Establishing and enforcing standards for model versioning, lineage tracking, and auditability across environments.

Essential Skills

To be successful in this role, you will have:

Experience implementing and managing the deployment of machine learning models in production environments
Experience developing and maintaining CI/CD pipelines for ML models to streamline the deployment process and ensure continuous integration and delivery.
Experience with Azure Machine Learning.
Experience with Python and GIT
Experience with Docker and Kubernetes.

Desirable Skills

Ability to work closely with data scientists and software engineers to understand requirements and provide technical solutions for model integration.
Ability to maintain comprehensive documentation of processes, workflows, and system architectures to ensure knowledge sharing and continuity.
Responsible Artificial Intelligence usage

What We Will Offer You

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:

Flexible buy/sell holiday options
Hybrid working
Annual performance related bonus
Contributory pension scheme
Development days
A discount up to 50% on a range of insurance products including car, home and pet
Retail discounts
Volunteering days

Our Ways of Working

Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.

Integrity, Fairness, Inclusion & Trust

At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer.

We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success.

We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role.

Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.

Hr-recruitment@allianz.co.uk

For any inquiries or to submit your application, please contact: Matthew Mckevitt

Closing date 10/03/26

We reserve the right to close the advert early if we reach enough applications.

Machine Learning Solutions jobs

MLOps Engineer