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Python Ml Engineer Jobs (NOW HIRING)

GRVTY

Expert ML Software Engineer

Springfield, VA

$150K - $165K/yr

This ML Engineering role is onsite and combines software engineering and machine learning expertise ... Expert experience understanding of Kubernetes programming - Python is essential; with experience in ...

Weeghman & Briggs LLC

Senior AI/ML Engineer

Huntsville, AL · On-site

$99K - $136K/yr

Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering * Minimum 12 years of experience and a ...

Weeghman and Briggs

Senior AI/ML Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering * Minimum 12 years of experience and a ...

Weeghman & Briggs LLC

Senior AI/ML Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering * Minimum 12 years of experience and a ...

CYNET SYSTEMS

ML Engineer

Woodland Hills, CA · On-site

$56 - $61/hr

Expert-level proficiency in Python. * Strong experience in model training, evaluation, and tagging workflows. * Hands-on experience with document extraction and chunking techniques. * Solid ...

Weeghman and Briggs

Mid AI/ML Engineer

Huntsville, AL · On-site

Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and production software engineering * Minimum 8 years of experience with a ...

Tech Tammina LLC

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud. * Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly ...

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How much do python ml engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python ml engineer in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

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Senior ML Operations Engineer - Python

Oakland, CA • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

Full-time

Re-posted 9 days ago

Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.

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