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Online Machine Learning Jobs in Colorado (NOW HIRING)

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

Company Description At bet365, we're one of the world's leading online gambling companies ... A strong track record of designing, building, deploying, and maintaining machine learning models in ...

bet365

Data Science Team Leader

Denver, CO

Company Description At bet365, we're one of the world's leading online gambling companies ... A strong track record of designing, building, deploying, and maintaining machine learning models ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

Company Description At bet365, we're one of the world's leading online gambling companies ... Astrong track record of designing, building, deploying, and maintaining machine learning models in ...

Booz Allen Hamilton

Senior Computer Scientist

Aurora, CO · On-site

$99K - $225K/yr

Your deep analytics, data science, AI, and machine learning expertise and consult ing mindset ... We'll keep you sharp and moving forward in your career, with access to online courses, the latest ...

Booz Allen Hamilton

Computer Scientist, Senior

Aurora, CO · Hybrid

$99K - $225K/yr

Your deep analytics, data science, AI, and machine learning expertise coupled with an original ... We'll keep you sharp and moving forward in your career, with access to online courses, the latest ...

Booz Allen Hamilton

Senior Computer Scientist

Aurora, CO · On-site

$99K - $225K/yr

Your deep analytics, data science, AI, and machine learning expertise coupled with an original ... We'll keep you sharp and moving forward in your career, with access to online courses, the latest ...

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All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Colorado

Online Machine Learning information

See Colorado salary details

$26.8K

$44.8K

$92.5K

How much do online machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for online machine learning in Colorado is $44,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

What are the most commonly searched types of Machine Learning jobs in Colorado?

The most popular types of Machine Learning jobs in Colorado are:

What cities in Colorado are hiring for Online Machine Learning jobs?

Cities in Colorado with the most Online Machine Learning job openings:

Online Machine Learning jobs near you
Infographic showing various Online Machine Learning job openings in Colorado as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,777 per year, or $21.5 per hour.

Data Science Team Leader

bet365

Denver, CO • On-site

$155K - $165K/yr

Full-time

Re-posted 26 days ago

Bet365 rating

8.9

Company rating: 8.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies

Job description

Company Description
At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide.
Job Description
This is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organization.
You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers.
We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable, production-grade solutions.
Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOps Team Lead within the wider US Data team, while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team.
The listed salary for this position is $155,000 - $165,000 annually.
Qualifications
  • Proven experience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively.
  • Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development.
  • A strong track record of designing, building, deploying, and maintaining machine learning models in production environments
  • Superior communication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non-technical audiences.
  • Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.).
  • Advanced SQL proficiency for querying and manipulating large datasets, preferably within Google BigQuery.
  • Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints).
  • MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience.
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning.
  • Experience with real-time stream processing or event-driven architectures (e.g., Kafka).

Additional Information
  • In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality. This is not a pure people-management role.
  • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline.
  • Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities.
  • Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities.
  • Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
  • Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
  • Establish data science workflows, standards, and code repositories from scratch in a new regional office.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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