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Machine Learning Flexible Hours Jobs in Romeoville, IL

慨正橡扯

Machine Learning Platform Engineer

Chicago, IL · On-site

$90 - $150/hr

Experience in AI‑powered machine learning, such as agentic workflows, ontology designs, and Model ... Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time ...

New

Optimum Card Solutions LLC

Machine Operator

Addison, IL · On-site

$19 - $21/hr

Be trained to operate company machine. * Make sure all products are of highest quality set by the ... Must be able to work flexible hours * Must have some operation experience. * Must work Overtime as ...

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All JobsMachine Learning Hours JobsMachine Learning Flexible Hours JobsMachine Learning Flexible Hours Jobs in Romeoville, IL

Machine Learning Flexible Hours information

See Romeoville, IL salary details

$26K

$43.4K

$89.7K

How much do machine learning flexible hours jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning flexible hours in Romeoville, IL is $43,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

What are the key skills and qualifications needed to thrive as a machine learning engineer with flexible hours?

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a machine learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.
What job categories do people searching Machine Learning Flexible Hours jobs in Romeoville, IL look for? The top searched job categories for Machine Learning Flexible Hours jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Machine Learning Flexible Hours jobs? Cities near Romeoville, IL with the most Machine Learning Flexible Hours job openings:
Machine Learning Flexible Hours jobs near you

Quantum Solutions Engineer - Scientific Machine Learning M/W

Pasqal

Chicago, IL • On-site

Full-time

Posted 9 days ago

Job description

PASQAL designs and develops Quantum Processing Units and dedicated software tools. These innovative processors address applications which are out of the reach of the most powerful existing supercomputers, encompassing real-world challenges as well as fundamental science. As they are very low energy intensive, they will significantly contribute to reduce the carbon footprint of the computing industry.
PASQAL has partnerships with key users in the fields of energy, IT, finance, drug and chemical design, automotive. The maturity and potential of our technology and the quality of our scientific team has been rewarded several times at French, European and global levels.
Description
We are looking for a Quantum Solutions Engineer to join our Quantum Applications department and build client-facing solutions based on PASQAL's quantum algorithm portfolio.
This application-driven engineering role focuses on adapting, integrating, and validating quantum and quantum-enhanced machine learning methods for real-world partner and client use-cases, with a strong focus on molecular and chemical applications.
The goal is to turn PASQAL's existing methods into reliable client deliverables by combining scientific machine learning, Graph Machine Learning, and analog quantum computing.
Contributions to internal method improvement are welcome when they directly support project outcomes.
You will join as a Scientific Machine Learning Engineer specializing in chemistry applications, working at the interface between graph machine learning, quantum algorithms, and industrial use cases.
With strong engineering skills and an interest in quantum computing (physics background is a plus), you will:
• Adapt and implement PASQAL's existing quantum and quantum-enhanced Graph ML algorithms for client datasets, scientific constraints, and performance targets.
• Translate scientific and chemical use cases into well-defined machine learning tasks, such as molecular property prediction, classification, ranking, or candidate screening.
• Select and implement suitable representations for molecules and chemical systems, including physicochemical descriptors, fingerprints, molecular graphs, and quantum feature representations.
• Integrate ML pipelines with quantum execution workflows, emulation and simulation platforms, PASQAL QPUs, and internal tooling.
• Collaborate closely with internal R&D teams to transfer quantum methods from research to application, clarify their assumptions and limitations, and select the most appropriate approach from PASQAL's portfolio.
• Work closely with chemistry experts from clients and partners to understand the scientific meaning, quality, and limitations of molecular and experimental data.
• Produce maintainable code, technical documentation, benchmark reports, and handover material so delivered solutions can be reproduced, reused, and supported.
• Maintain an active scientific and technological watch in Quantum Machine Learning, Graph Machine Learning, and molecular machine learning.
This list is non exhaustive.
About you
  • Master's degree or PhD in Machine Learning, Computational Chemistry or Quantum Physics
  • 2+ years of experience in a similar role
  • Strong ML engineering background, including model training and evaluation, classical baselines, metrics, and reproducible experimentation.
  • Hands-on experience with graph-structured data and Graph Machine Learning, such as graph kernels, Graph Neural Networks, or graph representations.
  • Familiarity with quantum computing or quantum mechanics concepts and constraints, including the differences between classical simulation, emulation, and hardware execution.
  • Working knowledge of fundamental chemistry concepts and familiarity with molecular representations such as descriptors, fingerprints, molecular graphs, or SMILES.
  • Strong interest in applying quantum computing to practical machine learning and scientific problems.
  • Experience working with molecular, chemical, materials, or other scientific data.
  • Ability to build end-to-end ML pipelines (pre/post-processing, integration with existing tools/platforms).

  • Physics background (quantum/atomic/optics) is a plus.
  • Delivery mindset and ownership (client-facing deliverables, pragmatism, trade-offs).
  • Strong communication and collaboration with internal R&D, hardware, and platform teams.

Right to work in USA without sponsorship is preferred.
What we offer
  • Flexible schedules to support work/life balance
  • A dynamic, close-knit, collaborative, and diverse international team for co-workers
  • An impactful role in a growing scale-up that is leading in the Neutral Atom Quantum Computing space
  • Competitive benefit packages
  • Lots of time off to enjoy the things you love outside of work
  • Free time to learn and attend conferences/meetups
  • Employment Terms : Full time, Direct hire, Hybrid

Recruitment process
  • An interview with our talent acquisition team via Teams Video meeting
  • A 1 hour video interview with hiring manager via Teams Video meeting
  • For technical roles: A technical Interview round via Teams Video with the hiring manager
  • Final Interview
  • An offer !

PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, music preference, ethnicity, age, religion or sexual orientation.
Department Software Role Quantum Application Locations Chicago Remote status Hybrid Employment type Full-time Seniority Senior

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