Senior ML Ops Engineer

Allianz UK; Greater London; Hybrid; GBP 51,000 - 69,000; Full time

Benefits offered by this job

Hybrid working

Annual performance related bonus

Contributory pension scheme

Development days

Discounts on Allianz products

Job summary

Allianz UK is seeking a Senior MLops Engineer to design, build and operate production‑level data and machine‑learning services. You will deploy containerised apps, implement Terraform‑driven infrastructure and maintain real‑time endpoints serving high‑volume requests.

You’ll work in a small agile team, shaping data/model outputs, and advancing cloud tooling, monitoring, and platform development. Hybrid role with offices in London, Bristol, or Bournemouth and occasional in‑office attendance.

Qualifications

• Hands-on with production data/ML systems
• Experience deploying and monitoring services
• Cloud infra experience with IaC tools (Terraform)
• Experience with containerised apps (Docker) and orchestration (Kubernetes)
• CI/CD automation in production
• Strong Python development and testing practices
• Ability to communicate with non-technical stakeholders

Responsibilities

• Design, build, and operate production‑level data/ML services
• Develop and orchestrate Docker containers
• Implement IaC with Terraform to manage cloud infra
• Build and maintain monitoring for model performance and reliability
• Develop CI/CD pipelines using Azure DevOps or GitHub Actions
• Write clean, tested Python for data pipelines and services
• Deliver data extracts and features for modelling and analytics
• Work in an agile team and communicate technical decisions clearly

Skills

Docker

Kubernetes

Python

CI/CD

Azure DevOps / GitHub Actions

Terraform

Agile

Real-time APIs

DBT

SQL

Education

Bachelor's or above in a technical field

Tools

Azure

dbt

Microsoft Fabric

SQLMesh

Job description

Role Description

As a Senior MLops Engineers you will play a key role in building and maintaining production‑ready data and machine‑learning systems that support critical business decisions. You’ll work across the full lifecycle, from engaging with stakeholders and shaping data/model outputs, to deploying and maintaining real‑time services in a cloud environment.

A significant part of this role involves developing and evolving our cloud‑based infrastructure, including containerised applications, automated deployment pipelines, and infrastructure‑as‑code. You’ll also help shape engineering best practices and support the growth of modern, scalable data platforms.

You’ll join our small stream‑aligned agile team, working closely with domain experts to understand business needs and deliver high‑impact solutions.

Location

This role is hybrid, with the option to work from our London, Bristol, or Bournemouth offices. You’ll be required to attend the office two days per month.

Salary Information

Pay: Circa £60,000 per annum, dependent on experience, skills, and location.

Salary is one part of our wider total reward package.

What You’ll Do

• Design, build, and operate production‑level data and machine‑learning services, including real‑time API endpoints that serve 100k+ requests daily.


• Build and deploy and orchestrate docker containers, optimizing for performance and resource utilization.


• Design, build and maintain cloud R&D solutions using IaC tools like Terraform.


• Building, improving and maintaining monitoring systems to track model performance, infrastructure health and ensure reliability, scalability, and security of ML systems.


• Develop CICD processes to help automateworkflows using tools like Azure DevOps Pipelines/Github Actions and dbt.


• Write high‑quality, well‑tested Python for production‑grade data pipelines and services.


• Deliver data extracts, transformations, and features to support modelling and analytics. We are increasingly using dbt to abstract these processes and would like you to contribute.


• Workwithin an agile workflow, managing your ownticketsand collaborating with team members and across disciplines to deliver productsCommunicate technical decisions and findings to both technical and non‑technical audiences.


• Taking time tostay up to date with the newestcloudanddatatechasyou contribute to continuous improvement across cloud tooling, engineering standards, and platform development.

Essential Skills

• Experience deploying, monitoring and maintaining production services

We’re looking for engineers who have worked hands‑on with:

• Containerisation (Docker) & Service orchestration (Kubernetes or similar)


• Managing and maintaining real‑time endpoints or APIs


• Automated deployment into production environments

This is the most important area of experience for this role.

• Cloud & Infrastructure Engineering

Experience building or supporting cloud infrastructure for data or predictive services, ideally including:

• Terraform (highly desirable)


• Azure (preferred), or other public cloud platforms


• Infrastructure patterns for scalable, secure services

• CI/CD Automation

Experience With

• Azure DevOps or GitHub Actions


• Automated testing, packaging, and deployment processes

CI/CD experience is valuable, but not sufficient on its own without cloud or production‑deployment exposure.

• DataOps Experience

We are not looking for profiles focused only on ETL.

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as:

• Proficient SQL; familiarity with PySpark is beneficial


• dbt


• Microsoft Fabric


• SQLMesh

Core Engineering Skills

• Strong Python, with good documentation and unit testing practices


• Comfortable in an agile delivery environment


• Able to communicate clearly with non‑technical teams


• Demonstrates curiosity, continuous learning, and a collaborative mindset

Desirable Skills

• Understanding of GDPR and data governance


• Experience in insurance or financial services


• Familiarity with LLMs (e.g., GPT, OpenAI)


• Knowledge of infrastructure monitoring, backup, or disaster recovery
  
• Responsible Artificial Intelligence usage

What We Will Offer You

Benefits

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

Closing date: 15/10/26

[e-mail]

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