ML Engineer Visa Sponsorship Jobs in Missouri
Missouri's ML engineer hiring is anchored by financial services firms in St. Louis, health tech companies like Centene and Express Scripts, and a growing startup ecosystem in Kansas City. Employers across both cities sponsor H-1B visa and other work visas for qualified ML engineers, particularly in healthcare AI, data infrastructure, and enterprise software.
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Get Access To All JobsRole: Senior Machine Learning Engineer
Location: St. Louis, Missouri
Duration: 6+ Months
ONLY H1B Candidates and Local candidates are preferred (Ready to relocate to Client location)
Min 10+ Years Exp Required
This is hybrid role in St. Louis, MO (2-3 days)
The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for Client life science business. We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products.
ESSENTIAL JOB FUNCTIONS
- Machine Learning Model Development: Design, train, and evaluate ranking models (learning-to-rank, neural networks, embedding-based approaches) to optimize search relevance and personalization.
- Search Query Analysis: Analyze search query logs, evaluate user behavior data to identify opportunities for relevance improvements and inform ranking strategies.
- Feature Engineering: Develop and engineer features from search, product, and user data to power ML models and improve ranking performance.
- Semantic Search & NLP: Implement semantic search for improved product discovery across chemistry and life science domains.
- Search Engine Tuning: Optimize Elasticsearch/Lucene configurations, including tokenization, stemming, query parsing, and lexical search algorithms (BM25) to work in concert with ML models.
- ML Pipeline Development: Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment using MLOps best practices.
- Ranking & Personalization: Develop personalized ranking strategies that adapt to user segments, query intent, and business objectives; integrate collaborative filtering and content-based approaches.
- Performance Monitoring & Iteration: Monitor search and ML model performance metrics in production; identify drift and continuously improve models based on new data and domain insights.
- Search Relevance Documentation: Maintain clear documentation of search algorithms, ranking models, tuning strategies, and system configurations for internal teams.
- Mentorship: Guide engineers on search relevance techniques, ML best practices, and data-driven problem-solving.
QUALIFICATIONS
Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Mandatory Skills:
- 6+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
- Proven expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, or equivalent).
- Strong background in statistical analysis, data exploration, and working with large-scale datasets.
- Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark).
- Demonstrated experience building or working with ranking models (learning-to-rank, neural ranking, or similar).
- Experience with semantic search, embeddings, or dense retrieval methods.
- Deep understanding of search engines (Elasticsearch, Solr, OpenSearch), lexical search algorithms (BM25), information retrieval concepts, search relevance tuning, tokenization, stemming, and query parsing.
- Experience with MLOps practices and tools (model versioning, experiment tracking, pipeline orchestration).
- Proficiency in SQL and querying large datasets.
- Strong problem-solving and analytical skills with the ability to think critically about complex search and ranking problems.
- Excellent communication skills; ability to explain ML and search concepts to both technical and non-technical stakeholders.
- Ability to collaborate with cross-functional teams.
Role: Senior Machine Learning Engineer
Location: St. Louis, Missouri
Duration: 6+ Months
ONLY H1B Candidates and Local candidates are preferred (Ready to relocate to Client location)
Min 10+ Years Exp Required
This is hybrid role in St. Louis, MO (2-3 days)
The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for Client life science business. We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products.
ESSENTIAL JOB FUNCTIONS
- Machine Learning Model Development: Design, train, and evaluate ranking models (learning-to-rank, neural networks, embedding-based approaches) to optimize search relevance and personalization.
- Search Query Analysis: Analyze search query logs, evaluate user behavior data to identify opportunities for relevance improvements and inform ranking strategies.
- Feature Engineering: Develop and engineer features from search, product, and user data to power ML models and improve ranking performance.
- Semantic Search & NLP: Implement semantic search for improved product discovery across chemistry and life science domains.
- Search Engine Tuning: Optimize Elasticsearch/Lucene configurations, including tokenization, stemming, query parsing, and lexical search algorithms (BM25) to work in concert with ML models.
- ML Pipeline Development: Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment using MLOps best practices.
- Ranking & Personalization: Develop personalized ranking strategies that adapt to user segments, query intent, and business objectives; integrate collaborative filtering and content-based approaches.
- Performance Monitoring & Iteration: Monitor search and ML model performance metrics in production; identify drift and continuously improve models based on new data and domain insights.
- Search Relevance Documentation: Maintain clear documentation of search algorithms, ranking models, tuning strategies, and system configurations for internal teams.
- Mentorship: Guide engineers on search relevance techniques, ML best practices, and data-driven problem-solving.
QUALIFICATIONS
Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Mandatory Skills:
- 6+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
- Proven expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, or equivalent).
- Strong background in statistical analysis, data exploration, and working with large-scale datasets.
- Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark).
- Demonstrated experience building or working with ranking models (learning-to-rank, neural ranking, or similar).
- Experience with semantic search, embeddings, or dense retrieval methods.
- Deep understanding of search engines (Elasticsearch, Solr, OpenSearch), lexical search algorithms (BM25), information retrieval concepts, search relevance tuning, tokenization, stemming, and query parsing.
- Experience with MLOps practices and tools (model versioning, experiment tracking, pipeline orchestration).
- Proficiency in SQL and querying large datasets.
- Strong problem-solving and analytical skills with the ability to think critically about complex search and ranking problems.
- Excellent communication skills; ability to explain ML and search concepts to both technical and non-technical stakeholders.
- Ability to collaborate with cross-functional teams.
ML Engineer Job Roles in Missouri
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Search ML Engineer Jobs in MissouriML Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for ML engineers?
St. Louis-based employers including Centene, Express Scripts (now part of Evernorth), Edward Jones, and World Wide Technology have filed H-1B petitions for machine learning and data science roles. In Kansas City, companies in fintech, logistics, and health tech have also sponsored ML engineers. Large enterprise employers and healthcare technology firms represent the most consistent sponsorship activity in the state.
Which visa types are most common for ML engineer roles in Missouri?
The H-1B is the most commonly used visa for ML engineers in Missouri, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, mathematics, or a related field. Candidates already authorized under OPT or STEM OPT extensions often transition to H-1B sponsorship through Missouri employers. The O-1A is an option for ML engineers with demonstrated exceptional ability, though it requires substantial supporting documentation.
Which cities in Missouri have the most ML engineer visa sponsorship jobs?
St. Louis accounts for the largest share of ML engineering sponsorship activity in Missouri, driven by its concentration of healthcare, financial services, and enterprise technology employers. Kansas City is the second major hub, with growing activity in logistics technology, financial services, and digital health. Outside these two metros, sponsorship opportunities are limited, so most international ML engineers focus their search on St. Louis and Kansas City.
How to find ml engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML engineer roles in Missouri where employers are actively open to sponsoring. Rather than sorting through general job boards and guessing at sponsorship willingness, Migrate Mate surfaces Missouri-based ML engineer positions from employers with a history of sponsoring international candidates, saving significant time in the search process.
Are there state-specific factors ML engineers should know when targeting Missouri sponsorship jobs?
Missouri has notable university pipelines feeding ML talent into industry, including Washington University in St. Louis and the University of Missouri system, which means employers in the state are familiar with OPT and STEM OPT candidates. Healthcare AI is a particularly active hiring segment in St. Louis given the density of major health insurers and pharmacy benefit managers headquartered there. Employers in this sector routinely file H-1B petitions, making the healthcare technology space a strong focus area for ML engineers seeking sponsorship in Missouri.
What is the prevailing wage for sponsored ml engineer jobs in Missouri?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.