Data & ML Platform Lead

Join Curve, a pioneering fintech company, as a Data & ML Platform Lead. In this hands-on platform engineering role, you will lead a multidisciplinary team and be closely involved in complex architectural challenges. You will own the design and reliability of various data services and ensure the platform operates to bank-grade standards. Enjoy a generous holiday allowance, flexible working arrangements, family leave, health insurance, colleague offers, financial products, share plans, and a pension plan.

Lead the team responsible for building and operating the infrastructure at the core of Curve’s business, including streaming and batch data ingestion, reverse-ETL, and real-time decisioning.

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.

Provide technical leadership to engineers, set technical direction, delegate effectively, and develop engineers into owners of the systems they operate.

Experience supporting high-volume transaction platforms as they scale

GBP 107,304 - 126,240

About Lloyds

If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it

Experience with Terraform, Kubernetes and infrastructure as code

Responsibilities

• Experience designing safe deployment approaches including feature flags, shadow modes, staged rollouts and reversible releases

Requirements

• Experience building and operating real-time services as well as batch and streaming data pipelines
• Strong experience operating orchestration platforms such as Airflow reliably in production
• Deep production experience with streaming technologies, ideally Kafka, and event-driven architectures operating at scale
• A track record of automating manual operational processes and building systems that are scalable, reliable and maintainable
• Significant experience in data engineering, platform engineering or similar roles, including experience leading or providing sustained technical leadership to engineers
• Strong leadership skills with the ability to set technical direction, delegate effectively and develop engineers into owners of the systems they operate
• Experience designing reliable, observable platforms with clear SLAs, monitoring, alerting, load testing and capacity planning
• Strong programming ability in Python and experience with at least one systems language, ideally Go
• Strong understanding of operating technology within regulated environments, including audit trails, control evidencing, change governance and production systems with compliance implications
• Experience deploying and operating ML systems in production, including feature stores, model serving or ML-driven decisioning systems
• Proven experience designing and operating production systems on GCP, including technologies such as BigQuery, Managed Airflow, Cloud Run and Dataflow, or equivalent cloud infrastructure
• Hands-on experience with Feast
• Experience building or operating LLM and agentic AI workflows in production
• Experience with load-testing frameworks for data-intensive systems

Preferred

• Experience within financial crime, fraud, credit or risk decisioning environments
• Experience integrating technology platforms with large banking organisations or banking vendor ecosystems

Experience with Snowplow

• Experience supporting dbt from a platform or enablement perspective
• Experience within fintech, financial services, payments or retail banking
• Experience building real-time decisioning systems with regulatory or financial consequences