Top 81 Machine learning engineer Jobs in St. Louis, Mo

Data Scientist
Nestlé Purina —St. Louis, MO
- $88,000 - $123,000 a year
- Computer Science
- DevOps
- Mid-level
- Health insurance
- 401(k) matching
Data Science Co-Op
Hunter Engineering Company —Bridgeton, MO
- Computer science
- Communication skills
- Entry level
Quick Apply
Data Engineer - TRANSCOM
Agile Defense —Scott AFB, IL
- $130,000 - $155,000 a year
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
Quick Apply
Data Scientist
BUNGE —Chesterfield, MO
- Computer Science
- 5 years
- Office
- Paid holidays
- Health insurance
Intelligent Automation Engineer - 2 years exp - Shiloh IL
Silverthorne Advisory Group LLC —Scott AFB, IL
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Sr AI Solution Architect
GEHA —Missouri
- $138,859 - $175,665 a year
- Full-time
- Computer science
- Azure
- Computer Science
- AD&D insurance
- Disability insurance
Sr AI Context Engineer
GEHA —Missouri
- $124,666 - $157,710 a year
- Full-time
- Azure
- HIPAA
- SQL
- AD&D insurance
- Disability insurance
Data Security Engineer IV
Edward Jones —St. Louis, MO
- $101,700 - $173,200 a year
- Full-time
- Remote
- 7 years
- Office
- Fair chance
- Profit sharing
- Health savings account
5d
Data Scientist - Mid
CACI —St. Louis, MO
- $69,100 - $141,500 a year
- Full-time
- Computer Science
- Mid-level
- SQL
- Health insurance
AI/ML Computational Science Engineer
Accenture —St. Louis, MO
- $24.42 - $77.88 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
2d
AI/ML Computational Science Specialist
Accenture —St. Louis, MO
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Staff Software Engineer
Merck KGaA —St. Louis, MO
- $110,500 - $185,900 a year
- Computer Science
- System design
- Mid-level
- Health insurance
- Paid time off
Workstream Product Development Lead
McCarthy Holdings, Inc. —St. Louis, MO
- Computer Science
- No experience needed
- Mid-level
Director of Data, Analytics, and AI
MEM —St. Louis, MO
- $144,000 - $216,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- Driver's License
- Profit sharing
- Paid jury duty
Snowflake Advanced AI Engineer
Accenture —St. Louis, MO
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Data Scientist
Absolute Business Solutions Corp —St. Louis, MO
- $80,000 - $250,000 a year
- 8 hour shift
- Mid-level
- Military encouraged
- Experience equivalent to degree accepted
- Paid time off
- 401(k) matching
Engineer I
Patriot Machine Inc —Saint Charles, MO
- Full-time
- Engineering
- Manufacturing
- Mechanical knowledge
- Paid holidays
- Health insurance
Quick Apply
AI and Data Science Engineer II
Deloitte —St. Louis, MO
- $86,700 - $170,900 a year
- Full-time
- Computer science
- Computer Science
- Engineering
Data Scientist
Noise Consulting Group, Inc —St. Louis, MO
- $45 - $50 an hour
- Contract
- Hybrid work
- Mid-level
- SQL
- Math
Quick Apply
Snowflake Advanced AI Solution Lead
Accenture —St. Louis, MO
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance

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machine learning engineer jobs near st. louis, mo

Data Scientist

Nestlé Purina -
St. Louis, MO

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Job Details

$88,000 - $123,000 a year

Benefits

Health insurance
401(k) matching

Qualifications

Predictive modeling analysis
Continuous Delivery (CD) implementation
DevOps
SQL
Predictive analytics projects
DevOps automation
Database software proficiency

Full Job Description

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness—We are Proudly Connected. Purely Driven.

Position Summary

Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.

As a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.

Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
Support the development and maintenance of optimization engines that drive high-value business decisions
Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements

Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis
1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices

Other

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is $88,000 to $123,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at [email protected] or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

Job Requisition: 409964

Apply Now

Refine Your Search

machine learning engineer jobs in st. louis, mo

Data Scientist

Data Science Co-Op

Data Engineer - TRANSCOM

Data Scientist

Intelligent Automation Engineer - 2 years exp - Shiloh IL

Sr AI Solution Architect

Sr AI Context Engineer

Data Security Engineer IV

Data Scientist - Mid

AI/ML Computational Science Engineer

AI/ML Computational Science Specialist

Staff Software Engineer

Workstream Product Development Lead

Director of Data, Analytics, and AI

Snowflake Advanced AI Engineer

Data Scientist

Engineer I

AI and Data Science Engineer II

Data Scientist

Snowflake Advanced AI Solution Lead

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