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Senior Software Engineer

AECOM
London, GBR
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
PythonFastAPI, Flask, or DjangoMachine learning model deploymentMachine learning model monitoringDockerGitHub Actions
Free

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PythonFastAPI, Flask, or DjangoMachine learning model deployment
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AI Engineering Team

AECOM’s AI Engineering team builds AI-driven technology for infrastructure and building design and engineering.

The team combines startup-like speed and ownership with AECOM’s engineering scale and domain expertise.

The role sits at the intersection of software engineering and machine learning operations.

What You’ll Do

  • Design and build platform services, evolve system architecture, improve reliability, and resolve issues.
  • Make sound technical trade-offs involving database design and schema evolution.
  • Deploy, monitor, and optimise AI workloads using Python and strong software engineering practices.
  • Ensure machine learning models run reliably, efficiently, and at scale.
  • Turn research into production-ready tools and build production-grade systems.

Must-Have Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Solid Python programming skills with FastAPI, Flask, or Django experience.
  • Hands-on production experience deploying and monitoring machine learning models.
  • Knowledge of Docker containerisation and experience building GitHub Actions CI/CD pipelines.
  • Experience working within startups or scaleups and building production-grade systems.
  • Strong communication, collaboration, Agile delivery, and software development best practices.

Preferred Skills

  • Understanding of CPU-bound and GPU-bound workload optimisation.
  • Knowledge of Prometheus, Grafana, or ELK stack monitoring and observability tools.
  • Experience with Terraform or Azure.
  • Experience resolving bottlenecks in distributed machine learning workloads; CUDA or low-level language knowledge is a plus.
  • Experience building design automation products in the construction industry.

Hiring Process

  • The process includes a screening call, a take-home technical challenge, and a combined technical and cultural interview.
  • New hires are required to attend an in-person Day 1 onboarding at an AECOM office.

Why Join AECOM

  • Work on real-world AI problems with measurable impact on the built environment.
  • Collaborate with colleagues in a culture of trust, ownership, and high standards.
  • Benefits may include health coverage, paid time off, flexible work options, well-being resources, retirement savings, and employee stock purchase plans.

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