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Machine Learning Engineer Resume Example

See a Machine Learning Engineer resume example with skills, bullet points, and ATS-friendly formatting tips. Tailor your resume in minutes.

Key skills

PythonPyTorchTensorFlowscikit-learnAWS SageMakerDockerKubernetesMLflowSpark

Modern Minimal

Clean sidebar layout with navy accent. Great for tech and finance roles.

Recommended template: Modern Minimal

Market themes

  • LLM integration and RAG pipelines are rising
  • Fine-tuning skills (LoRA, PEFT, QLoRA) stand out

Certifications

  • AWS Certified Machine Learning Specialty
  • Google Cloud Professional ML Engineer
  • TensorFlow Developer Certificate

Salary ranges

LevelUSEUCanada
EntryUSD 96,000-135,000EUR 65,000-95,000CAD 136,000-149,000
MidUSD 140,000-200,000EUR 70,000-100,000CAD 145,000-156,000
SeniorUSD 200,000-500,000+EUR 75,000-150,000+CAD 150,000-200,000

US hot markets

  • San Francisco
  • Seattle
  • New York
  • Boston
  • Los Angeles

EU hot markets

  • London
  • Berlin
  • Munich
  • Amsterdam

Canada hot markets

  • Toronto
  • Montreal
  • Vancouver

Why this works

  • Highlights outcomes aligned with Machine Learning Engineer priorities.
  • Emphasizes LLM Orchestration and RAG Pipelines to match ATS scans.
  • Shows ownership, collaboration, and measurable results.

Example bullets

  • Built an agentic workflow with tool calling, retrieval, and guardrails that cut manual triage time by 42%.
  • Implemented a RAG system with reranking and eval suites that lifted answer accuracy by 28% while reducing hallucinations 35%.
  • Reduced inference cost 30% and P95 latency from 3.4s to 1.9s via batching, caching, and model routing.

FAQ

Common questions about this role

What should a Machine Learning Engineer resume highlight?

Focus on LLM systems, evaluation, and production reliability so hiring teams see immediate fit.

Which skills matter most for Machine Learning Engineer roles?

Prioritize LLM Orchestration, RAG Pipelines, Vector Databases, Evaluation & Monitoring in your skills section.

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