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Remote Machine Learning Jobs in St Louis, MO (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

BAI

Software Engineer

Saint Louis, MO · On-site +1

$75K - $95K/yr

Our industry-leading offerings include peer sharing events, thought leadership, learning and ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

BAI

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Our industry-leading offerings include peer sharing events, thought leadership, learning and ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

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Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in St. Louis, MO

Remote Machine Learning information

See St Louis, MO salary details

$24.8K

$41.4K

$85.6K

How much do remote machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote machine learning in St. Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in St. Louis, MO?

The most popular types of Machine Learning jobs in St. Louis, MO are:

What are popular job titles related to Remote Machine Learning jobs in St. Louis, MO?

For Remote Machine Learning jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in St. Louis, MO look for?

The top searched job categories for Remote Machine Learning jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Machine Learning jobs?

Cities near St. Louis, MO with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 25 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

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