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4 часа Π½Π°Π·Π°Π΄

MLOps Engineer

65Β 000 - 75Β 000GBP
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

MLOps Engineer: Building and scaling infrastructure for ML and AI systems with an accent on production reliability, CI/CD, and developer experience. Focus on optimizing the end-to-end ML lifecycle, ensuring secure deployments on AWS, and implementing observability for real-time and batch inference systems.

Location: Hybrid (London). Must be able to work from the office a minimum of 60% of their time.

Compensation: Β£65,000–£75,000

Company

hirify.global is a leading rail and coach travel platform connecting millions of travelers across Europe with 270+ carriers.

What you will do

  • Build and evolve secure, scalable infrastructure for training and deploying ML and AI models.
  • Improve the end-to-end ML lifecycle from experimentation through to production.
  • Create reusable platform patterns and golden paths for AI service deployment.
  • Design and maintain CI/CD pipelines and operate reliable batch and real-time inference systems.
  • Establish strong observability across services, covering performance, cost, and drift.
  • Support LLM and agent-based systems with evaluation frameworks and operational guardrails.

Requirements

  • 2+ years of experience in MLOps, ML Platform, or cloud infrastructure roles.
  • Strong hands-on AWS experience with services like ECS, Batch, EMR, SageMaker, and Bedrock.
  • Proven experience with Terraform for infrastructure as code.
  • Strong proficiency in Python and familiarity with production ML codebases.
  • Experience with containerized workloads using Docker and workflow orchestration like Airflow.
  • Strong understanding of observability, reliability, and security-by-design principles.

Nice to have

  • Experience with Spacelift.
  • Knowledge of Prefect or Dagster.
  • Exposure to modern AI tooling and AIOps workflows.

Culture & Benefits

  • Private healthcare and dental insurance.
  • Flexible work environment with a 28-day Work from Abroad policy.
  • Generous learning budget and regular learning days.
  • 2-for-1 share purchase plans and an EV scheme.
  • Inclusive culture focused on diversity, growth, and sustainability.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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