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Contract Engineering Jobs in Springfield, MO (NOW HIRING)

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

Partner with MLOps / Cloud ML Engineering to package, register, deploy, monitor, and optimize ... Write automated tests for model code, preprocessing logic, inference services, schema contracts ...

Murtech Staffing and Solutions

Be Seen First

Field Engineer - Networking/Servers

Springfield, MO · On-site

$35/hr

Open-ended contract *Must be willing to travel to other client data center in Kansas City Job Summary: Supermicro is seeking a Field Engineer who will be responsible for fieldwork at customer sites ...

AMRI

Project Engineer II

Springfield, MO · On-site

Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of ... Maintain thorough engineering administration and project documentation standards Good Manufacturing ...

Curia, Inc.

Project Engineer II

Springfield, MO · On-site

Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of ... Maintain thorough engineering administration and project documentation standards Good Manufacturing ...

Amphenol

Design Engineer

Springfield, MO · On-site

$65K - $80K/yr

Define engineering materials, production costs, and technical specifications. * Participate in ... THIS IS NOT AN EMPLOYMENT CONTRACT, IMPLIED OR OTHERWISE. THE EMPLOYMENT RELATIONSHIP REMAINS "AT ...

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All JobsContract Engineering JobsContract Engineering Jobs in Springfield, MO

Contract Engineering information

See Springfield, MO salary details

$27

$44

$90

How much do contract engineering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for contract engineering in Springfield, MO is $44.51, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $46.15 per hour, depending on experience, location, and employer.

What is contract engineering?

Contract engineering refers to the practice of hiring engineers on a temporary or project-specific basis, rather than as permanent employees. Contract engineers work for a set period or until a particular project is completed, often through staffing agencies or as independent contractors. This arrangement allows companies to access specialized skills and expertise as needed while providing engineers with flexibility and exposure to diverse projects. Contract engineers typically handle tasks such as design, development, testing, and project management across various industries.

How does a contract engineer typically balance multiple projects and ensure timely delivery of each contract?

Contract Engineers often manage several projects simultaneously, requiring strong organizational and time-management skills. They regularly coordinate with clients, suppliers, and internal teams to track progress, address issues early, and adjust timelines as needed. Utilizing project management tools and maintaining clear documentation helps them prioritize tasks and deliverables effectively. Open communication and proactive problem-solving are key strategies to meet contract milestones and client expectations.

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

To thrive as a Contract Engineer, you need a strong background in engineering principles, contract management, and project coordination, often supported by a relevant engineering degree and experience in contract administration. Familiarity with contract management software, project management tools (such as MS Project or Primavera), and industry regulations is essential. Strong negotiation, communication, and attention to detail are vital soft skills for effectively managing client and vendor relationships. These skills ensure projects are completed on time, within budget, and in compliance with contractual and technical requirements.

Do contract engineers make more money?

Contract engineers often earn higher hourly rates than full-time employees due to the temporary nature of their work and the need for specialized skills. However, they may have less job security and benefits, and total annual income can vary based on project availability and experience. Factors such as industry, location, and certifications also influence earning potential for contract engineers.

What does a contract engineer do?

A contract engineer is responsible for managing engineering projects on a temporary basis, often focusing on specific tasks such as design, testing, or implementation. They typically work with project teams, adhere to deadlines, and may require knowledge of engineering software and industry standards. Their role involves ensuring project requirements are met efficiently within the contract terms.

What are the most commonly searched types of Engineering jobs in Springfield, MO?

The most popular types of Engineering jobs in Springfield, MO are:

What are popular job titles related to Contract Engineering jobs in Springfield, MO?

For Contract Engineering jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Contract Engineering jobs in Springfield, MO look for?

The top searched job categories for Contract Engineering jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Contract Engineering jobs?

Cities near Springfield, MO with the most Contract Engineering job openings:

Contract Engineering jobs near you
Infographic showing various Contract Engineering job openings in Springfield, MO as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $92,583 per year, or $44.5 per hour.

Lead Engineer AI/ML - Onsite

Bass Pro Shops

Springfield, MO • On-site

$93K - $122K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Bass Pro Shops rating

6.5

Company rating: 6.5 out of 10

Based on 437 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers

Job description

We are seeking a Machine Learning Engineer to join the Information Technology organization at our corporate office in Springfield, MO.
The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing production-ready model code, inference logic, and reusable ML components that convert approved enterprise data into reliable operational signals, recommendations, automations, or insights.
This position works closely with AI leadership, Data Science, MLOps, Data Engineering, Product/Delivery, Security, Privacy, Store Operations, Merchandising, and other cross-functional partners to implement practical AI solutions. The role must balance model quality, latency, cost, privacy, maintainability, and operational usefulness.
This position requires working onsite in our Springfield, MO headquarters. Occasional travel to field locations may be required.
ESSENTIAL FUNCTIONS:
  • Design, develop, and evaluate machine learning models and inference pipelines for enterprise AI use cases across retail, operations, merchandising, customer experience, supply chain, and corporate functions.
  • Build production-quality Python code for model training, evaluation, preprocessing, postprocessing, inference services, and reusable model components.
  • Partner with Data Scientists to define ground truth datasets, labeling requirements, evaluation metrics, confidence thresholds, and acceptable error tradeoffs.
  • Partner with MLOps / Cloud ML Engineering to package, register, deploy, monitor, and optimize models in cloud, edge, or hybrid environments.
  • Evaluate and select model architectures, pretrained models, fine-tuning approaches, and inference strategies appropriate for the business problem and operating environment.
  • Prepare and transform approved structured and unstructured data for model development while following privacy, retention, and acceptable-use constraints.
  • Build or integrate data labeling, sampling, augmentation, and validation workflows needed for model development and evaluation.
  • Optimize inference performance for latency, cost, throughput, reliability, and deployment target.
  • Implement model output schemas and event metadata structures in partnership with Data Engineering and API/application teams.
  • Integrate model outputs with APIs, event streams, dashboards, reports, applications, or other approved enterprise presentation layers.
  • Write automated tests for model code, preprocessing logic, inference services, schema contracts, and regression checks.
  • Troubleshoot model failures caused by data quality, domain shift, operational changes, drift, or degraded source data.
  • Document model assumptions, limitations, dependencies, reproducibility steps, evaluation results, and production readiness criteria.
  • Support responsible AI practices, including PII minimization, privacy-aware design, model explainability where practical, and secure handling of approved enterprise data.
  • Contribute to architecture decision records, model cards, technical runbooks, documentation, and reusable engineering standards.
  • ALL OTHER DUTIES AS ASSIGNED.

EXPERIENCE/QUALIFICATIONS:
Minimum Degree Required: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
  • 8+ years of experience in software engineering, machine learning engineering, applied AI engineering, or production ML systems.
  • 5+ years of hands-on experience building, training, fine-tuning, or deploying machine learning models in applied business environments.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, or equivalent tools.
  • Experience with one or more ML domains such as natural language processing, forecasting, classification, recommendation systems, optimization, anomaly detection, multimodal AI, or generative AI.
  • Experience building production-quality APIs, services, or batch/streaming inference components.
  • Experience with Git, automated testing, code review, containerization, and collaborative engineering practices.
  • Familiarity with model optimization and deployment formats or tooling such as ONNX, TensorRT, OpenVINO, quantization, batching, or similar techniques preferred.
  • Familiarity with Azure Machine Learning, Azure AI services, Databricks, MLflow, or equivalent cloud ML platforms preferred.
  • Familiarity with event-driven architectures, REST APIs, message queues, data lakes, and metadata/event pipelines preferred.
  • Experience with distributed inference, real-time AI systems, high-throughput event processing, or enterprise integration patterns preferred.
  • Experience working with security, privacy, and governance requirements for sensitive operational data preferred.

KNOWLEDGE, SKILLS, AND ABILITY:
  • Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks.
  • Strong understanding of the machine learning lifecycle, including data preparation, training, evaluation, deployment, monitoring, and retraining.
  • Strong understanding of model failure modes in real-world environments.
  • Ability to make practical model tradeoffs across accuracy, latency, cost, privacy, reliability, and maintainability.
  • Ability to translate business use cases into technical model requirements without over-scoping the solution.
  • Ability to collaborate effectively with Data Scientists, MLOps Engineers, Data Engineers, platform teams, and business stakeholders.
  • Ability to document model behavior and limitations clearly for both technical and nontechnical audiences.
  • Proficiency with Git-based development workflows and Agile delivery practices.
  • Commitment to responsible and ethical AI development aligned with company standards.

TRAVEL REQUIREMENTS:
Occasional travel, up to 10%, may be required for field observation, technical validation, troubleshooting, or stakeholder workshops.
PHYSICAL REQUIREMENTS:
Regularly completes computer work and sits.
Occasionally walks and stands.
Seldomly or never lifts up to 50lbs.
INDEPENDENT JUDGEMENT:
Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices.
Full Time Benefits Summary:
Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions!
  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Account
  • Voluntary benefits
  • 401k Retirement Savings
  • Paid holidays
  • Paid vacation
  • Paid sick time
  • Bass Pro Cares Fund
  • And more!

Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations
Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at
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