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AI Infrastructure and Applications Manager (AI)

Формат работы
onsite
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

AI Infrastructure and Applications Manager (AI): Leading a team of engineers responsible for running a suite of AI/ML applications from test through to production, covering CI/CD, deployment, monitoring, and optimization using an enterprise MLOps framework and AWS native services. Focus on shaping how AI systems are run in production, building standards, tooling, and culture for reliable, observable, secure, and cost-effective AI/ML applications at enterprise scale.

Location: 1 Braham Street, London, United Kingdom

Company

hirify.global is the UK's leading telecommunications company, leveraging AI and technology to transform its digital infrastructure and customer experience across brands like BT, EE, Openreach, and Plusnet.

What you will do

  • Lead a team of technical engineers to manage the full AI/ML application lifecycle across test/preprod/prod environments.
  • Implement and mature an MLOps framework covering code/data/model versioning, automated testing, and release governance.
  • Own production readiness for AI/ML workloads, including SLOs, runbooks, and operational dashboards.
  • Design and operate CI/CD for ML solutions using patterns such as SageMaker model registry.
  • Implement model monitoring (e.g., data quality, model quality, bias drift) and alerting, driving automated responses.
  • Design and implement end-to-end observability for serverless services (e.g., Lambda, Step Functions, EventBridge, APIs).

Requirements

  • Proven experience leading a team of technical engineers in managing AI/ML application lifecycles.
  • Strong background in MLOps framework implementation and maturity, including CI/CD, deployment, monitoring, and version control.
  • Expertise in AWS native services for AI/ML applications, including SageMaker and Amazon Bedrock.
  • Deep understanding and implementation of end-to-end observability for serverless infrastructure.
  • Proficiency in establishing production readiness for AI/ML workloads, including SLOs, runbooks, and incident response.
  • Strong skills in Cloud Deployment, Cloud Strategy, Cloud Security, Cloud Architecture/Design, and Agile Methodologies.

Culture & Benefits

  • Committed to being the driving force behind improving connectivity for millions.
  • Focus on radical simplification of systems, structures, and processes on a huge scale.
  • Offers flexibility in working hours, including job share partnerships or reduced hours.
  • Committed to building a diverse, inclusive, and authentic workplace where everyone can be their best.

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