> Markdown version of [/jobs/ext/3707015-data-ml-platform-lead](https://www.wearedevelopers.com/jobs/ext/3707015-data-ml-platform-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & ML Platform Lead - **Company:** Lloyds Banking Group - **Location:** London, UK - **Experience:** Expert - **Salary:** £107,304.0 - £126,240.0 - **Contract:** Permanent contract - **Skills:** Airflow, Audit Trail, BigQuery, Cloud Computing, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Flow Control, Python (Programming Language), Load Testing, Machine Learning, Azure Machine Learning, Snowplow, Data Streaming, Feature Store, Data Ingestion, Large Language Models, Event Driven Architecture, Kubernetes, Infrastructure Automation Frameworks, Google Cloud Functions, Apache Kafka, Machine Learning Operations, Video Streaming, Terraform, Data Pipelines - **Published:** October 13, 2026 - **Apply:** https://lbg.wd3.myworkdayjobs.com/LBG_Careers/job/London-1-10-Praed-Mews/Data---ML-Platform-Lead_164282-1 ## About the Role * Significant experience in data engineering, platform engineering or similar roles, including experience leading or providing sustained technical leadership to engineers * Deep production experience with streaming technologies, ideally Kafka, and event-driven architectures operating at scale * Proven experience designing and operating production systems on GCP, including technologies such as BigQuery, Managed Airflow, Cloud Run and Dataflow, or equivalent cloud infrastructure * Strong programming ability in Python and experience with at least one systems language, ideally Go * Experience building and operating real-time services as well as batch and streaming data pipelines * Experience with Terraform, Kubernetes and infrastructure as code * Strong experience operating orchestration platforms such as Airflow reliably in production * Experience deploying and operating ML systems in production, including feature stores, model serving or ML-driven decisioning systems * Experience designing reliable, observable platforms with clear SLAs, monitoring, alerting, load testing and capacity planning * Strong understanding of operating technology within regulated environments, including audit trails, control evidencing, change governance and production systems with compliance implications * Experience designing safe deployment approaches including feature flags, shadow modes, staged rollouts and reversible releases * A track record of automating manual operational processes and building systems that are scalable, reliable and maintainable * Strong leadership skills with the ability to set technical direction, delegate effectively and develop engineers into owners of the systems they operate And it would be great if you had any of the following... * Experience building or operating LLM and agentic AI workflows in production * Experience within financial crime, fraud, credit or risk decisioning environments * Experience integrating technology platforms with large banking organisations or banking vendor ecosystems * Hands-on experience with Feast * Experience with Snowplow * Experience supporting dbt from a platform or enablement perspective * Experience with load-testing frameworks for data-intensive systems * Experience within fintech, financial services, payments or retail banking * Experience building real-time decisioning systems with regulatory or financial consequences * Experience supporting high-volume transaction platforms as they scale ## Description As a Data & ML Platform Lead, you will lead the team responsible for building and operating the infrastructure at the core of Curve's business. You'll own the platform supporting streaming and batch data ingestion, reverse-ETL, real-time decisioning for fraud and financial crime, and the ML and agentic AI capabilities increasingly used across the organisation. This is a hands-on platform engineering role where you'll lead and develop a multidisciplinary team while remaining closely involved in the most complex architectural challenges. You'll own the design and reliability of Kafka-based decisioning services, data pipelines, orchestration, feature stores and underlying cloud infrastructure, ensuring the platform operates to bank-grade standards of reliability, auditability and scale as Curve integrates into Lloyds Banking Group., Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.