Senior MLOps Engineer

AECOM
London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Communication","Collaboration","Ownership","Independent work"]

Own production MLOps infrastructure that moves machine learning from experimentation into reliable systems. Build and improve CI/CD, automation, and model delivery workflows, and develop Python services, APIs, and platform tooling supporting production ML workloads. Drive reliability, observability, performance, availability, and security across ML systems, troubleshoot complex production issues, and influence architecture decisions with ML, data, and product teams.

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FursaFursa
AECOM
AECOM
2 days ago

Senior MLOps Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Own production MLOps infrastructure that moves machine learning from experimentation into reliable systems. Build and improve CI/CD, automation, and model delivery workflows, and develop Python services, APIs, and platform tooling supporting production ML workloads. Drive reliability, observability, performance, availability, and security across ML systems, troubleshoot complex production issues, and influence architecture decisions with ML, data, and product teams.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and evolve production ML infrastructure for training, deployment, serving, and monitoring.
  • •Build and improve CI/CD, automation, and model delivery workflows used across the engineering team.
  • •Develop Python services, APIs, and platform tooling supporting production ML workloads.
  • •Ensure reliability, observability, performance, availability, and security across production ML systems.
  • •Troubleshoot complex production issues and drive architecture decisions with ML, data engineering, and product teams.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeavePensionEquityLife InsuranceDisability Insurance

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • •Experience deploying, operating, monitoring, and supporting machine learning systems in production.
  • •Experience building and owning ML pipelines and model deployment/serving/monitoring or lifecycle infrastructure.
  • •Solid Python programming skills and experience with web libraries such as FastAPI, Flask, or Django.
  • •Hands-on experience with containerization (Docker), CI/CD pipelines, and cloud environments (Azure).
Experience:Machine learningMLOpsAIProduction systems
Education:
Skills:Technical leadershipCommunicationCollaborationOwnershipIndependent work
Languages:English
Tech Stack:PythonFastAPIFlaskDjangoDockerCI/CDAzureKubernetesTerraformMLflowWeights & BiasesPrometheusGrafanaELKOpenTelemetry

Company Brief

AECOM
AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.
Industry: Civil Engineering
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 1990
Glassdoor
Glassdoor: 3.6
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