ML Ops Engineer
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 automate workflows 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.
- Work within an agile workflow, managing your own tickets and collaborating with team members and across disciplines to deliver products Communicate technical decisions and findings to both technical and non‑technical audiences.
- Taking time to stay up to date with the newest cloud and data tech as you contribute to continuous improvement across cloud tooling, engineering standards, and platform development.
About You (What We’re Looking For)
Essential Skills
1. 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.
2. 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
3. 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.
4. 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
5. 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
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: Annice Boys
Closing date: 15/10/26
We reserve the right to close the advert early if we reach enough applications.
106479 | IT & Tech Engineering | Professional | Non-Executive | Allianz UK | Full-Time | Permanent
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