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MLOps Engineering Specialist (AWS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

MLOps Engineering Specialist (AWS): Deploying and operating production-grade machine learning platforms using AWS SageMaker with an accent on automated pipelines, model governance, and lifecycle management. Focus on building scalable inference solutions, implementing drift detection, and ensuring security-by-design across AI/ML workloads.

Location: Must be based in the UK (London or Bristol) with a hybrid working style (3 days in office, 2 days remote).

Company

hirify.global is the UK’s leading communications group, connecting consumers and businesses through brands like BT, EE, and Openreach.

What you will do

  • Design and implement end-to-end MLOps workflows using AWS SageMaker Pipelines, Feature Store, and Model Registry.
  • Enable consistent model promotion across dev, test, and production environments.
  • Implement automated retraining strategies and mature the MLOps framework for versioning and release governance.
  • Apply security-by-design using IAM roles and VPC-attached SageMaker resources.
  • Develop model monitoring routines for drift detection, bias, and performance reporting.
  • Partner with data scientists to productionise notebooks into managed, scalable inference solutions.

Requirements

  • Must be based in the UK and able to work from London or Bristol offices.
  • Strong hands-on experience with MLOps practices including CI/CD, versioning, and production monitoring.
  • Deep expertise in AWS, specifically Amazon SageMaker for deployment and drift monitoring.
  • Experience with containerisation (Docker) and Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Proficiency in designing observability for serverless systems using logs, metrics, and traces.

Nice to have

  • Experience with AWS services like Lambda, Step Functions, Glue, and VPC networking.
  • Knowledge of data governance, lineage, and model explainability.
  • AWS certifications such as DevOps Engineer Professional or Machine Learning Engineer Associate.

Culture & Benefits

  • 10% on-target annual bonus.
  • Market-leading pension scheme (5% employee / 10% employer contribution).
  • Comprehensive family support including 24/7 online private GP and equalized parental leave.
  • Market-leading paid carers leave (up to 2 weeks).
  • Discounted EE and BT products and holiday purchase scheme.

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