About this role
Salary: £54,000 - 94,000 per year
Requirements: 5+ years experience in a Data, ML or Platform Engineering role, with strong MLOps expertiseConfident programming in Python and SQLExperience with Kubernetes and DockerHands-on experience using cloud services such as Azure, AWS or GCP to design and build ML products, pipelines and platformsIn-depth understanding of the software development life cycle, DevOps and MLOps methodologies, including continuous integration, testing and deployment of data and model pipelinesAbility to design simple solutions to complex business problemsComfortable working hands-on while thinking strategically, dealing with ambiguity and challenging the status quoAbility to build relationships with technical and business stakeholders and explain complex technical subjects to non-technical stakeholdersFamiliarity with data protection, consumer duty and other relevant legislationDesirable: experience with responsible artificial intelligence usage Responsibilities: Define and drive adoption of MLOps standards across CI/CD, containerisation, monitoring, alerting, testing and deploymentWrite high-quality, well-tested Python code for production pipelines and services serving billions of requests annuallyLead delivery and continuous improvement of Data Science products that support and enhance MLOps processesImplement best practices and build Data Science products that add business valueMentor and develop Data Engineers from graduate to senior levelsCollaborate with business and technology teams, including architects and external experts from Microsoft AzureDesign, build and enhance scalable processes and workflowsChampion Data Science and MLOps best practices across the businessMaintain data governance standards and ensure compliance with internal policies and external regulationsIdentify opportunities to improve how we work, challenge the status quo and drive positive changeHelp define technical direction, improve engineering practices, shape architecture, improve deployment practices and guide technical decisions Technologies: AWSAzureCI/CDCloudDatabricksDevOpsDockerGCPGitHubSupportKubernetesMLOpsPythonSQLTerraformdbtAI More:
We are Allianz UK Personal, seeking a Lead Data Engineer (DevOps/MLOps) to enhance our MLOps capability and lead cloud-based Data Science product delivery. Youll join an ambitious, agile, stream-aligned team working with technical and business stakeholders to deliver products that drive commercial value. This is a permanent, full-time hybrid role based in our London, Bristol or Bournemouth offices, with two office days per month. The salary is circa £80,000 per annum, based on relevant experience, skills and location. Our technology stack includes Azure, Python, SQL, dbt, Kubernetes, Docker, Terraform, Databricks, Azure DevOps and GitHub. We offer flexible benefits, flexible working options, global career opportunities across the wider Allianz Group, career development and training, flexible holiday buy/sell options, hybrid working, an annual performance-related bonus, a contributory pension, development days, discounts on insurance products and retail purchases, and volunteering days. We support flexible working where it meets the needs of our customers, our business and you. We are committed to an inclusive, accessible workplace and offer tailored adjustments during recruitment and in the workplace. We welcome applications from disabled and neurodivergent candidates; eligible candidates with a disability or long-term health condition may opt into our Offer an Interview Scheme. The closing date is 7 October 2026, and we may close the advert early if we receive enough applications.
last updated 40 week of 2026