1

Senior Machine Learning Engineer Jobs in Springfield, IL

Information Security Architect

Springfield, IL · On-site +1

$61.43 - $92.15/hr

Collaborating with IT, clinical engineering, compliance, privacy, and business teams, the role ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Coordinate new suppliers / parts and engineering changes with Materials, Engineering, Quality ... Extensive learning opportunities and flexible career path Please be advised that we are unable to ...

Research and develop repair schemes using blueprints, engineering orders, service bulletins, and ... Prior experience operating sheet metal machinery to fabricate units with complex contours and ...

Showing results 41-60

Senior Machine Learning Engineer information

See Springfield, IL salary details

$59K

$125.4K

$181.9K

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

As of Sep 2, 2026, the average yearly pay for senior machine learning engineer in Springfield, IL is $125,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Springfield, IL?

The most popular types of Machine Learning Engineer jobs in Springfield, IL are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Springfield, IL?

For Senior Machine Learning Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Springfield, IL look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Senior Machine Learning Engineer jobs?

Cities near Springfield, IL with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Springfield, IL as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,431 per year, or $60.3 per hour.

Senior Fleet Manager - Business Intelligence & Technology

Rentokil

Springfield, IL

$125K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Rentokil rating

7.0

Company rating: 7.0 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

16th of 35 rated pest control companies


Job description

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!

For more information about our benefits, see below!

We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

Overview

The Senior Fleet Manager - Business Intelligence & Technology, is a high-impact leadership role reporting directly to the Fleet Director. This position bridges the gap between raw machine data and corporate execution, driving the strategy, architecture, and deployment of connected vehicle technologies, predictive data models, and enterprise analytics to optimize total cost of ownership (TCO) and operational safety. You will lead the design and execution of the enterprise telematics roadmap, engineer high-level business intelligence (BI) frameworks, and transform complex IoT data sets into actionable strategies. This role is highly visible, providing the critical data engineering and technological framework necessary to guide executive decisions regarding fleet electrification, risk mitigation, and asset lifecycle optimization.

Duties & Responsibilities

Technology Architecture & Telematics Ownership

  • Lead the evaluation, deployment, and configuration of enterprise telematics platforms, electronic logging devices (ELD), advanced driver-assistance systems (ADAS), and computer vision hardware.

  • Standardize API integrations and data flows between telematics hardware, enterprise resource planning (ERP) platforms, and internal maintenance databases.

  • Partner with Corporate IT and InfoSec to ensure fleet data handling strictly complies with data governance and information security protocols.

  • Pilot emerging fleet technologies, managing relationships with hardware OEMs, software vendors, and third-party developers.

Business Intelligence & Advanced Analytics

  • Design, build, and maintain automated enterprise dashboards in Power BI or Tableau to track key fleet metrics (e.g., fuel optimization, asset utilization, carbon emissions).

  • Develop advanced telemetry models using SQL to aggregate CAN-bus and SAE J1939 protocol data for heavy and light-duty machinery.

  • Implement predictive maintenance algorithms to identify vehicle degradation patterns and proactively prevent catastrophic roadside failures.

  • Create data-validated driver safety scorecards to benchmark behavior, harsh braking, speeding, and policy exceptions.

Strategic Optimization & Financial Planning

  • Deliver data-driven asset lifecycle recommendations directly to the Fleet Director, optimizing capital expenditure (CapEx) and vehicle replacement schedules.

  • Formulate the fleet electrification (EV) roadmap by executing feasibility analytics based on duty cycles, range limitations, and localized infrastructure costs.

  • Translate complex data patterns into accessible insights and universal execution steps for regional operational managers and field teams.

Candidate Requirements

Education

  • Bachelor's degree in data science, Statistics, Systems Engineering, Supply Chain Management, or a related quantitative field.

Experience

  • Experience: 5-7 years managing connected fleet architectures, logistics analytics, or transport-focused systems engineering.

  • Certifications: Certified Automotive Fleet Manager (CAFM) via NAFA or recognized professional certifications in advanced data analytics/data engineering

Skills & Competencies

  • Technical Mastery: Advanced proficiency in SQL database manipulation and enterprise BI visualization tools (Power BI, Tableau).

  • Domain Expertise: Expert-level knowledge of commercial telematics hardware, Compliance Foundations: Thorough understanding of Department of Transportation (DOT) mandates, Hours of Service (HOS) tracking, and safety compliance.

  • Leadership: Proven track record of managing cross-functional technical initiatives and presenting highly analytical findings to executive leadership

Base Pay RangeYearly: $125,300.00 - $162,800.00

While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).

Why Choose Us?
A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives.
Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria.
Click here to read more about our Total Rewards Program which includes:
Professional and Personal Growth

  • Multiple avenues to grow your career

  • Training and development programs available

  • Tuition Reimbursement benefits (for FT Colleagues)


Health and Wellness

  • Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1

  • Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more


Savings and Retirement

  • 401(k) retirement plan with company-matching contributions

Work-Life Balance

  • Vacation days & sick days

  • Company-paid holidays & floating holidays

  • A company mindset that prioritizes health, safety, and flexibility


We are looking for individuals who want to make a difference where our customers live and work. Is that you?

This company is a Drug Free workplace.

Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.

California residents click here to review your privacy rights.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.


What Rentokil employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Rentokil logo

About Rentokil

Sourced by ZipRecruiter

Rentokil is the most recognised commercial pest control brand in the world, offering a greater global reach than any other. We provide innovative services and solutions in over 80 countries across 1,800 local branches, employing over 19,000 qualified pest control specialists Our mission is to protect people and enhance lives by providing pest control services that ensure public health and protect the environment through energy efficient and sustainable solutions. We offer a complete range of services for commercial and residential properties, including common pests such as rodents, flies, stored product insects, biting insects and birds to other kinds of wildlife. Driven by customer-centric innovation, our pest control solutions incorporate both preventative and responsive strategies to enhance protection for your business sector through a consistent, continuous pest management programme.

Industry

Environmental quality programs administration

Company size

10,000+ Employees

Headquarters location

Reading, PA, US

Social media