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Senior Machine Learning Engineer Jobs in Missouri

Catawiki

So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will ... Working with cross-disciplinary teams involving product owners, developers, UX designers, and ...

Jobtailor

Lead Machine Learning Engineer

California, MO · On-site

$140 - $210/hr

Mentor and support other engineers through design reviews, feedback, and knowledge sharing * Build ... Machine Learning * Natural Language Processing * LLM-Based Systems * Software Architecture * Model ...

Kohl's

$95K - $131K/yr

Role Specific Information About the Role As Senior MLOps Engineer, you will focus on supporting ... Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Missouri

Senior Machine Learning Engineer information

See Missouri salary details

$55.8K

$118.7K

$172.1K

How much do senior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior machine learning engineer in Missouri is $118,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $134,600.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Missouri?

The most popular types of Machine Learning Engineer jobs in Missouri are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Missouri?

For Senior Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Missouri look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Missouri are:

What cities in Missouri are hiring for Senior Machine Learning Engineer jobs?

Cities in Missouri with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,711 per year, or $57.1 per hour.

Senior Machine Learning Engineer - Video AI, Vision & Creative Systems

Jobtailor

California, MO • On-site

$140 - $210/hr

Other

Posted yesterday

New

Job description

Responsibilities
  • Design, build, and deploy machine learning models for video understanding and multimodal systems
  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
  • Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
  • Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
  • Contribute to scalable systems for processing and understanding large volumes of video content
  • Prototype quickly while also building robust, production-ready systems
Requirements
  • 4+ years of experience in machine learning, with a focus on computer vision or video
  • Master’s or PhD in Computer Science, Machine Learning, or a related field
  • Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
  • Strong programming skills (Python) and solid computer science fundamentals
  • Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
  • Familiarity with multimodal systems (vision + language, embeddings, retrieval)
  • Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
  • Ability to implement and adapt algorithms from recent research in computer vision (especially video)
  • Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
  • Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
  • Experience working with large-scale datasets and distributed systems
  • Ability to translate ambiguous problems into clear technical solutions
  • Strong collaboration and communication skills across technical and non-technical teams
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