ZipRecruiter

Log In

2

Remote Python Machine Learning Jobs in Denver, CO

Relativity

Senior Applied Scientist

Denver, CO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Learning, Machine Learning (ML), Natural Language, Python (Programming Language), Researching ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167.50K/yr

Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on ... Advance modeling, simulation, and machine learning toolchains, including development of reusable ...

Maximus

AI/ML Software Developer

Denver, CO · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Thornton, CO · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Aurora, CO · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

next page

Showing results 1-20

People also search for

All JobsPython Machine Learning JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Denver, CO

Remote Python Machine Learning information

See Denver, CO salary details

$13

$60

$88

How much do remote python machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python machine learning in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.
More about Remote Python Machine Learning jobs
What are popular job titles related to Remote Python Machine Learning jobs in Denver, CO? For Remote Python Machine Learning jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Denver, CO look for? The top searched job categories for Remote Python Machine Learning jobs in Denver, CO are:
Remote Python Machine Learning jobs near you

Data Science and Machine Learning Product Manager (Remote)

Evio

Denver, CO • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Evio Overview

Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience) initiatives primarily focused on specialty and other high-cost medication solutions.

In 2020, a group of five amazing Blue Cross Blue Shield health plans that in total serve more than 20 million members recognized that the way medications get to patients needs significant reform—rapidly rising costs and massive system complexities are detrimental to patients and the entire industry. In 2025, Wellmark joined as Evio's first non-founding investor and sixth owner health plan. Each company made, and continues to make, significant investments to establish Evio as an independent entity to lead this transformation. 


Evio has advanced analytics and contracting capabilities at scale, and a suite of digital tools, to power our high-cost medication solutions. Our solutions act as a self-reinforcing "flywheel" where each element strengthens and feeds into the next, and support an "Only Evio can do that," mindset and prioritization.

Evio is also a company that has invested heavily in and been highly intentional about people, team and culture. We believe we have created a very special place to work and encourage candidates to observe and ask us about our culture and decide for themselves.

Evio's Values

  • Empathy – The people our business serves always come first. We care for our teammates and put ourselves in the shoes of our health plan customers and the patients and clinicians our solutions benefit.
  • Diversity – We are committed to fostering a culture where everyone belongs and is valued for their background, experience and insights – one that encourages diversity of ideas, and is a nurturing, trusting, and accepting place for all.
  • Adventure – We are flexible, thrive in ambiguity, fail fast, and pivot quickly to get to a better answer. We celebrate wins and pivots with equal intensity.
  • Relentless – Guided by evidence and data, we are creative, curious, and unwavering in our pursuit of challenging the status quo and each other.
  • Transparency – Just as we seek to bring transparency to the pharmacy supply chain, authenticity and integrity are core to the way we communicate.
  • Excellence – We strive to raise the bar in all we do by hiring and developing exceptional talent and holding ourselves and our thinking to the highest standard.

About the role

As a Data Science and Machine Learning (ML) Product Manager, you will lead the evolution, implementation, and customer success of Evio Compass.

Evio Compass is an analytic product that identifies patients who need timely attention due to clinical or financial risk to themselves or our health plan and/or health system clients. The product blends together patient, plan, provider data with clinical intelligence and data science to identify risks. These risks are stratified and prioritized for plan attention after validation by Evio clinicians to confirm actionability.

In this role, you will sit at the intersection of data science, product, and customer partnership. You'll guide the development of new data science, machine learning, and AI-driven algorithms, while continuously enhancing existing product features to deliver measurable value. You will develop a deep understanding of the problems our customers are trying to solve and serve as the voice of the customer for internal cross-functional teams to ensure the product is delivering meaningful outcomes and value for customers.

In addition, you will play a key role in advancing Evio's ML/AI strategy, helping to shape the future direction of Evio products and their value for customers.

What you will do

Product evolution

  • Represent the customer in product evolution with a strong understanding of client priorities, challenges and opportunities
  • Work closely with health plan customer counterparts in various subject matter areas like clinical, product, data, intervention, and finance
  • Identify opportunities to improve existing algorithms and build new ones that better surface patient risk
  • Create a framework for algorithm development, implementation, and measurement to guide end-to-end evolution
  • Design, build, and execute in close collaboration with an internal team comprised of product managers, data scientists, ML engineers, clinicians, dev ops engineers, and software engineers
  • Remain hands on and closely aligned with internal working team across the full lifecycle of model development: from defining the problem and acquiring data to tuning performance and launching into production
  • Translate model outputs into clear risk identification/stratification/prioritization, optimal intervention modality assignment, outcomes measurements, etc.
  • Establish a clear approach to measure and continuously improve product features

Product implementation and client success

  • Serve as the primary product partner for clients, building strong, trusted relationships to deliver consistent value
  • Lead implementation of Evio Compass across health plans and health system clients to ensure smooth rollout and strong adoption
  • Work with customers to understand their priorities, risks, and goals, and collaborate with internal Evio team to tailor the product to meet customer needs
  • Guide clients on how to act on identified risks to drive the best possible outcomes
  • Strategize with client partners on optimal modalities to maximize outcomes from risk intervened
  • Drive client conversations and own client relationships with the primary goal of exceeding client goals and delivering consistent value
  • Be the tactical thought leader to optimally use Evio resources to drive progress for customers
  • Develop new processes and capabilities to support and scale customer success; including tracking success metrics such as business impact and client satisfaction

Your skills and experience

  • 5+ years' experience in hands-on data science, machine learning, AI based product development
  • 5+ years' experience working with teams within health plans, health systems, or similar (e.g. pharmacy management, population health, HEOR, finance, UW/Actuarial functions, risk management, or product) to:
    • Identify problem areas that can be solved with data and analytics
    • Drive analytics adoption
    • Evolve analytics products based on performance and measure business results
  • 5+ years' experience working at health plan, PBM, health system, pharmacy, and/or digital health organization
  • 3+ years' experience leading analytic product development, implementation, or client transformation efforts
  • 2+ years' experience within pharmacy and /or medical drug benefit management with a strong grasp of economics
  • Exceptional verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences
  • Familiarity with digital health product landscape within health plan, pharma, PBM landscape
  • Prior start-up experience is a plus

How you work

  • EQ and relationship building: You build strong internal and external relationships and navigate complex organizations with empathy, awareness, and overall high emotional intelligence
  • Comfort with ambiguity, resourcefulness: You're comfortable with, even excited by, ambiguity and finding strategic, resourceful ways to solve problems despite hurdles
  • Structured thinking: You're an organized thinker and able to manage multiple priorities without losing momentum
  • Driven self-starter: You lead projects with a cross-functional team, moving forward quickly and independently. You operate with a hands-on style, excited to building process (vs. inheriting).
  • Founder's mentality: You prototype, create, and iterate without needing permission
  • Flexible and adventurous: You collaborate well across disciplines, adapting to changing customer needs and business objectives
  • Customer empathy: You have deep empathy for customer challenges, risks, and opportunities and consistently work towards removing friction in every interaction.
  • Bias for action and outcomes: Your core focus is on create value for clients. You are constantly oriented to taking action to solve a problem.
  • Judgement and balance: You balance thoughtful analysis with speed, knowing when to go deep and when to move fast.
  • Innovation: You bring energy and curiosity, and excitement for challenging the status quo with strong value alignment to Evio's vision (Ensure every patient receives the right medication for their unique situation, from the beginning, in a simple and affordable way)

Salary Considerations:  

Anticipated annual base pay range: $170K - $200K with variable compensation based on performance.

At Evio, we're committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported. 

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. 

How we take care of you:

  • Great Health Insurance - The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents. 
  • 401K Match - Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. 401K is administered through Guideline. 
  • Time Off - We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership. 
  • Parental Leave - Generous paid leave for new parents (includes birth and non-birth parents). 

Fraud Notice

We've recently learned of fraudulent job postings and individuals falsely claiming to represent Evio. Protecting our candidates is incredibly important to us, and we want to share a few reminders:
  • All official communication will come from an email ending in @evio.com.
  • We will never conduct text-only interviews (Teams, SMS, WhatsApp, Telegram, etc.).
  • We will never ask for payment, gift cards, fees, or purchases of any kind.
  • We will never request sensitive financial information during the recruiting process.
  • Our open roles are posted only on our official website, LinkedIn, and Greenhouse job board.
If you believe you've encountered a scam, you can also report it to the Federal Trade Commission or the Internet Crime Complaint Center. Thank you for your care and vigilance — we're grateful to everyone who helps keep our community safe.

Information Disclosure

We value transparency in our hiring process and want applicants to understand how your information is used.

We collect and use personal information you provide during the application process such as your resume, employment history, education, interview responses, and other job-related information, to evaluate your qualifications for employment. This may also include limited technical and interaction data, such as IP address and device or browser information.

We may use automated or AI-assisted tools to help review applications, identify qualified candidates, and detect or investigate potentially fraudulent or deceptive activity. Human reviewers remain involved, and these tools support, not replace, human judgment.

These measures support a fair and secure hiring process for all candidates. If you require a reasonable accommodation, please inform us when invited to interview.

California privacy notice
Consistent with California law, we use this information for recruiting, hiring, and related business purposes, including evaluating your candidacy and improving our hiring processes.