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9 дней назад

Data & ML Platform Lead (AI)

107 304 - 126 240GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data & ML Platform Lead (AI): Building and operating the infrastructure for streaming and batch data ingestion, reverse-ETL, real-time fraud and financial-crime decisioning, and ML capabilities with an accent on Kafka-based services, GCP infrastructure, data pipelines, and bank-grade reliability. Focus on leading a multidisciplinary engineering team, designing observable and auditable platforms, and solving complex scalability, compliance, and safe-deployment challenges.

Location: London, UK. Hybrid working requires at least two days per week or 40% of working time at an office site.

Salary: £107,304–£126,240 per year.

Company

hirify.global is a major UK banking organisation building financial products and platforms, including the Curve business integration.

What you will do

  • Lead the team building and operating the infrastructure at the core of Curve’s business.
  • Own streaming and batch data ingestion, reverse-ETL, real-time fraud and financial-crime decisioning, and ML platform capabilities.
  • Design and operate Kafka-based decisioning services, data pipelines, orchestration, feature stores, and cloud infrastructure.
  • Lead architectural work while remaining hands-on with complex platform engineering challenges.
  • Build reliable, observable, auditable platforms with clear SLAs, monitoring, alerting, load testing, and capacity planning.
  • Set technical direction, delegate effectively, and develop engineers into owners of the systems they operate.

Requirements

  • Significant experience in data engineering, platform engineering, or similar roles, with sustained technical leadership experience.
  • Production experience with streaming technologies, ideally Kafka, and event-driven architectures at scale.
  • Experience designing and operating production systems on GCP, including BigQuery, Managed Airflow, Cloud Run, and Dataflow, or equivalent cloud infrastructure.
  • Strong Python programming skills and experience with a systems language, ideally Go.
  • Experience with real-time services, batch and streaming data pipelines, Airflow, Terraform, Kubernetes, and infrastructure as code.
  • Experience operating ML systems in production and working within regulated environments with audit trails, control evidencing, change governance, and compliance requirements.

Nice to have

  • Experience with LLM and agentic AI workflows in production.
  • Experience in financial crime, fraud, credit, risk decisioning, fintech, payments, or retail banking.
  • Experience with Feast, Snowplow, dbt enablement, or load-testing frameworks for data-intensive systems.
  • Experience integrating platforms with large banking organisations or operating high-volume transaction platforms.

Culture & Benefits

  • Hybrid working with workplace adjustments available for colleagues with disabilities.
  • Up to 15% pension contribution.
  • Annual bonus subject to Group performance and share schemes including free shares.
  • 30 days of holiday plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.
  • Commitment to diversity, equity, inclusion, learning, and development.

Hiring process

  • Reasonable adjustments are available throughout the recruitment process.
  • Applicants meeting the minimum criteria who have a disability, long-term health condition, or are neurodivergent may be eligible for an interview through the Disability Confident Scheme.

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