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Machine Learning Librarian Jobs (NOW HIRING)

... libraries and frameworks • Keep abreast of developments in the field Qualifications : Required : • 3-5 years of proven experience as a Machine Learning Engineer or a similar role • Strong ...

Identify the best libraries, frameworks and tools for a given task, make product design decisions ... Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods ...

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our ... Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our ... Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow) * Experience with managing the full model production lifecycle, including deployment, release ...

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/yr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Extend existing ML libraries and frameworks * Keep abreast of developments in the field Requirements * 3-5 years of proven experience as a Machine Learning Engineer or a similar role * Strong ...

Extend existing ML libraries and frameworks * Keep abreast of developments in the field Requirements * 3-5 years of proven experience as a Machine Learning Engineer or a similar role * Strong ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $200K/yr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/yr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting ...

Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas) * Solid understanding of machine learning algorithms and statistical modeling

Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and ...

Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and ...

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Machine Learning Librarian information

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$29K

$67.7K

$120.5K

How much do machine learning librarian jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning librarian in the United States is $67,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a machine learning librarian?

Machine learning librarians are information professionals who specialize in the management, curation, and facilitation of data and resources related to machine learning within libraries or research institutions. They assist researchers and patrons in finding, accessing, and understanding datasets, machine learning tools, and scholarly literature. These librarians may also support the implementation of machine learning technologies in library services, such as automating metadata creation or improving search systems. Their role bridges the gap between emerging AI technologies and traditional library science, ensuring ethical and effective use of data and algorithms.

What skills and qualifications are needed to be a machine learning librarian?

To thrive as a Machine Learning Librarian, you need expertise in library science, information organization, and a strong understanding of machine learning concepts, typically backed by a master’s degree in library science (MLS/MLIS) and knowledge of data management. Familiarity with programming languages (such as Python or R), machine learning frameworks, digital repositories, and metadata standards is essential. Strong analytical thinking, communication, and the ability to collaborate across interdisciplinary teams help professionals excel in this role. These skills ensure effective integration of machine learning in library services, enhancing information retrieval and supporting research innovation.

How do machine learning librarians collaborate with data scientists and library staff to implement AI-driven solutions?

Machine Learning Librarians often serve as a bridge between data scientists and traditional library staff, helping to translate complex technical concepts into practical library applications. They collaborate with data scientists on model development, data curation, and evaluation, ensuring that machine learning tools align with library goals and ethical standards. At the same time, they work with librarians to identify user needs, train staff on new technologies, and support the integration of AI tools into daily library operations. This collaborative approach fosters innovation while maintaining the accessibility and reliability of library services.

What are popular job titles related to Machine Learning Librarian jobs?

For Machine Learning Librarian jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Librarian job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $67,707 per year, or $32.6 per hour.

Machine Learning Engineer, Specialist

Malvern, PA • On-site

Full-time

Re-posted 16 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz


Job description

Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment.
Core Responsibilities
  • Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
  • Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
  • Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
  • Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
  • Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
  • Participates in special projects and performs other duties as assigned.

Qualifications
  • Undergraduate degree or equivalent experience; a graduate degree is preferred.
  • Minimum of 5 years of relevant work experience.
  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
  • Experience with API design and development is a plus.
  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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