Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
£107к-126к/год
£57к£72кмедиана£93к
По похожим ролям (34) ~ £72к/год
На СНГ рынке: $4.2к/мес ($3.3к - $5.9к)
91
Крутая вакансия
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Высокая зарплата, понятная зона технического лидерства и работа с платформами данных и ML в промышленном масштабе делают вакансию сильной, хотя роль предполагает большую ответственность в регулируемой банковской среде.
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Большая ответственностьЗарплата выше рынкаСовременный стекФинансовые технологииСильный пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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