ZipRecruiter

Log In

1

Senior Machine Learning Software Engineer Jobs in Fairfield, IA

Continental

Controls /Automation Engineer

Mount Pleasant, IA · On-site

$74K - $99K/yr

... machines, traffic and transportation. In 2024, Continental generated sales of 39.7 billion and ... automation software * Work with cross-functional teams for continuous improvement projects

Continental

Controls /Automation Engineer

Mount Pleasant, IA · On-site

$74K - $99K/yr

... machines, traffic and transportation. In 2024, Continental generated sales of €39.7 billion and ... automation software * Work with cross-functional teams for continuous improvement projects

TrafFix Devices, Inc.

Maintenance Technician

Fairfield, IA · On-site

$20 - $28.50/hr

... machinery. * Organizes and maintains the maintenance cage and spare parts inventory. * Provides ... Performs programming and troubleshooting for automated equipment including PLC's, HMI's and robots ...

Traffix Devices

Maintenance Technician

Fairfield, IA · On-site

$20 - $28.50/hr

... machinery. * Organizes and maintains the maintenance cage and spare parts inventory. * Provides ... Performs programming and troubleshooting for automated equipment including PLC's, HMI's and robots ...

TrafFix Devices, Inc

Maintenance Technician

Fairfield, IA · On-site

$20 - $28.50/hr

... machinery. * Organizes and maintains the maintenance cage and spare parts inventory. * Provides ... Performs programming and troubleshooting for automated equipment including PLC's, HMI's and robots ...

next page

Showing results 1-20

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Fairfield, IA

Senior Machine Learning Software Engineer information

See Fairfield, IA salary details

$65.8K

$124.9K

$167.4K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning software engineer in Fairfield, IA is $124,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Fairfield, IA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,927 per year, or $60.1 per hour.

Senior Product Owner

Cambridge Investment Research, Inc.

Fairfield, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Define, evaluate, and prioritize AI product strategies, roadmaps, and opportunities based on customer value, business impact, data readiness, feasibility, and risk.

  • Lead product discovery, experimentation, MVP development, launch planning, and continuous improvement initiatives for enterprise AI products.

  • Collaborate with cross-functional teams to translate strategic objectives into product backlogs, features, user stories, and success metrics.

Job description

Job SummaryKey Deliverables and Responsibilities

At Cambridge, we believe technology should empower financial professionals, strengthen client outcomes, and create sustainable business value. We are seeking a Senior Product Owner, AI & Data Strategy to help define, build, and scale enterprise AI products while advancing the trusted data foundations that make those products successful.

This is a senior individual contributor opportunity for an experienced product leader who can bridge strategy and execution, identify meaningful AI opportunities, and collaborate across Product, Technology, Data, Architecture, Governance, and Business teams to deliver measurable impact.

What You'll Do

  • Define and execute AI product strategies, roadmaps, and measurable business outcomes.

  • Evaluate, prioritize, and guide enterprise AI opportunities based on customer value, business impact, data readiness, feasibility, and risk.

  • Lead product discovery, experimentation, MVP development, launch planning, adoption, and continuous improvement initiatives.

  • Translate strategic objectives into well-defined product backlogs, features, user stories, and success metrics.

  • Partner with data teams to improve data quality, governance, accessibility, lineage, and readiness for AI use cases.

  • Support responsible AI practices by incorporating privacy, compliance, security, governance, and human oversight requirements into product design.

  • Collaborate on Snowflake AI capabilities, Salesforce Agentforce initiatives, and related AI-driven innovations.

  • Create executive-ready business cases, roadmap recommendations, performance scorecards, and strategy communications.

  • Drive stakeholder alignment and influence decision-making across cross-functional teams.

  • Measure product success through business outcomes such as adoption, efficiency gains, productivity improvements, quality enhancements, and risk reduction.


What We Are Looking For

  • 5+ years of progressive product management, product ownership, digital product, data product, analytics, or related experience.

  • Proven experience leading product strategy, roadmaps, backlogs, and delivery for complex enterprise products or platforms.

  • Experience delivering AI-powered, machine learning, advanced analytics, intelligent automation, or workflow solutions.

  • Working knowledge of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, prompt engineering, model evaluation, and AI observability.

  • Strong understanding of enterprise data management practices, including governance, quality, lineage, metadata, privacy, and access controls.

  • Demonstrated ability to influence stakeholders without direct authority and communicate effectively with technical and non-technical audiences.

  • Strong analytical, prioritization, and business case development skills.

  • Experience supporting organizational change and user adoption initiatives.

Preferred Qualifications

  • 8+ years of experience spanning product strategy, AI product delivery, and data strategy.

  • Financial services, wealth management, broker-dealer, registered investment adviser (RIA), or regulated industry experience.

  • Experience with Snowflake AI, Salesforce Agentforce, Salesforce Data Cloud, Einstein AI, Azure AI Services, or comparable platforms.

  • Exposure to AI governance, privacy, security, model risk management, or responsible AI programs.

  • Relevant product management, AI, data management, Snowflake, Salesforce, or Microsoft certifications.


Why Cambridge?

Cambridge has competitive benefits and promotes a work/life balance to encourage individual success.

  • Premium benefit package including medical, vision, dental, life and long-term disability insurance
  • Vacation/sick time
  • 401K retirement plan with company matching program
  • Eleven paid holidays

You can find more details about our comprehensive benefits packagehere.


Cambridge Overview:

Cambridge is a financial solutions firm that provides business support services to thousands of independent financial advisors. These advisors offer personalized investment services including wealth management, financial planning, and retirement services to individuals and families across the country. Cambridge provides significant compliance, technology, and transaction processing support to these financial advisors and their offices.

Apply