Senior Machine Learning Engineer

AECOM
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communicator","Ownership","Collaboration"]

Develop and lead advanced AI/ML solutions for the engineering domain, delivering measurable impact from problem formulation through feature strategy, evaluation, and production handoff. Build robust experimentation and define evaluation methodologies focused on real-world performance and failure-mode awareness. Collaborate with MLOps to operationalize models and partner with product, engineering, and domain experts to embed AI capabilities into AECOM’s SaaS platform.

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FursaFursa
AECOM
AECOM
3 days ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Develop and lead advanced AI/ML solutions for the engineering domain, delivering measurable impact from problem formulation through feature strategy, evaluation, and production handoff. Build robust experimentation and define evaluation methodologies focused on real-world performance and failure-mode awareness. Collaborate with MLOps to operationalize models and partner with product, engineering, and domain experts to embed AI capabilities into AECOM’s SaaS platform.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the design and development of advanced AI/ML models that deliver measurable impact in the engineering domain.
  • •Own the end-to-end modelling lifecycle, from problem formulation and feature strategy to validation and production handoff.
  • •Tackle complex, ambiguous problems and translate them into scalable ML solutions.
  • •Design robust experimentation frameworks and define evaluation methodologies to ensure real-world performance.
  • •Collaborate with MLOps to productionize models and partner with product, engineers, and domain experts to embed AI into a SaaS platform.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsurancePaid LeaveRetirement Savings

Key Requirements

  • •Proven experience developing and deploying ML models in production settings.
  • •Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field.
  • •Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • •Demonstrated depth in model design, optimization, and evaluation beyond off-the-shelf approaches.
  • •Strong intuition for model failure modes, generalization, and real-world performance trade-offs.
Experience:EngineeringConstructionSaaS
Education:
Skills:CommunicatorOwnershipCollaboration
Languages:English (UK)English
Tech Stack:PythonPyTorchTensorFlowScikit-learnMLOpsSaaS

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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