MLOps Engineer

AECOM
London
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureEducation: bachelorsSkills: ["Communication","Collaboration","Ownership","Problem-solving","Leadership (implied in driving decisions)"]

Own the infrastructure and delivery pipelines that keep AI-driven products reliable, scalable, and fast. Build and maintain robust ML pipelines for training, deployment, and monitoring, and develop backend systems and APIs that integrate AI into an Azure-based SaaS platform. Take responsibility for ML performance, monitoring, availability, and security, collaborating with ML, data, and product teams while improving cloud-native workflows and MLOps practices.

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FursaFursa
AECOM
AECOM
3 days ago

MLOps Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Own the infrastructure and delivery pipelines that keep AI-driven products reliable, scalable, and fast. Build and maintain robust ML pipelines for training, deployment, and monitoring, and develop backend systems and APIs that integrate AI into an Azure-based SaaS platform. Take responsibility for ML performance, monitoring, availability, and security, collaborating with ML, data, and product teams while improving cloud-native workflows and MLOps practices.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Own infrastructure and delivery pipelines for AI-driven products to ensure reliability, scalability, and speed.
  • •Build and maintain ML pipelines for training, deployment, and monitoring.
  • •Develop backend systems and APIs to integrate AI into a SaaS platform.
  • •Own ML performance, monitoring, availability, and security in production.
  • •Collaborate with ML, data, and product teams to deliver end-to-end features and improvements.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsurancePaid LeaveRetirement SavingsEquity

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • •Solid programming skills in Python, including experience with web frameworks such as FastAPI, Flask, or Django.
  • •Hands-on experience deploying and monitoring ML models in production.
  • •Knowledge of containerization (Docker).
  • •Experience with CI/CD pipelines and cloud environments (uses Azure).
Experience:AIMLOpsSaaS
Education:Bachelor's in Computer Science, Engineering, or related field
Skills:CommunicationCollaborationOwnershipProblem-solvingLeadership (implied in driving decisions)
Languages:English
Tech Stack:PythonFastAPIFlaskDjangoDockerAzureCI/CDMLflowWeights & BiasesPrometheusGrafanaELK stackCUDA

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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