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Role type

ML engineer jobs

Build, evaluate, and deploy machine-learning systems for product and operational use cases. This role sits inside the Applied AI engineer family, so employers should define the business outcome, tools, seniority, and human review expectations before sourcing.

Applied AI engineerModel evaluation$205K avg

What this role does

Build, evaluate, and deploy machine-learning systems for product and operational use cases.

This role is a strong fit when the work requires practical AI delivery, visible proof of shipped systems, and comfort with model outputs as signals that still need human judgment.

Skills and tools

Strong candidates can connect the role label to concrete systems, work samples, and measured outcomes.

Model evaluationMLOpsModel deploymentData labelingPythonAWS/GCP/AzurePostgresModel monitoring

How to evaluate fit

Ask for work samples that show what shipped, what broke, how quality was measured, and where a person stayed in the loop. AppliedHire fit signals support review and do not replace employer judgment.

Open ML engineer roles

Browse active roles in this family. If exact inventory is light, related roles in the same category are often the best place to find the same work under a different title.

Example employer

Applied AI engineer

Remote (US) · $190K-$240K

RAGAzure OpenAIEvals

Hiring for this role?

Use structured intake to turn the role type into a candidate-ready post with tools, skills, and success criteria.

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