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Machine Learning Engineer

What it officially is

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

O*NET, US Department of Labor · classified as “Data Scientists”

What the work involves

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
  • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
  • Recommend data-driven solutions to key stakeholders.

What they call it

Large employers

  • Applied AI Engineer Automattic
  • Machine Learning Engineer, CX Intelligence Coinbase
  • AI Engineer - FDE (Forward Deployed Engineer) Databricks
  • AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
  • Senior AI Engineer – Notebooks Datadog
  • AI Engineer GitLab

Startups

  • Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
  • Member of Technical Staff (applied) Anthrogen
  • Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan
  • Astoria AI | Founding AI Engineer — Agentic Systems | Remote (async) | Full-time | Equity-only pre-seed, $190k-$280k + Astoria AI

Tools the occupation uses

Application server software GitHub, Docker
Business intelligence and data analysis software Business intelligence software, Apache Spark, Alteryx software
Cloud-based management software Google Cloud software, Amazon Web Services AWS SageMaker
Content workflow software Atlassian JIRA
Data base management system software Apache Hadoop, Apache Hive, Apache Cassandra, Elasticsearch, Apache Pig
Data base user interface and query software Amazon Elastic Compute Cloud EC2, BigQuery, Amazon Web Services AWS software, Amazon Redshift

How well this role is advertised

306listings reviewed
54/100median HR-standards score
72/100median title accuracy

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Official definitions and responsibilities come from public occupational records — O*NET (US Department of Labor) and ESCO (European Commission). The employer half is counted from listings on this board and shown with its denominator. Nothing on this page is written by a language model: the measured half is arithmetic over real postings, and the official half is quoted.

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