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Freelance Machine Learning Quant Jobs in Colorado

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

A strong track record of designing, building, deploying, and maintaining machine learning models in ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

A strong track record of designing, building, deploying, and maintaining machine learning models ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering ...

... quantitative discipline and 2 years of experience in predictive analytics or data analysis. * 2 years of experience in training and validating statistical, physical, machine learning, and other ...

New

... quantitative discipline and 2 years of experience in predictive analytics or data analysis. * 2 years of experience in training and validating statistical, physical, machine learning, and other ...

... quantitative discipline and 2 years of experience in predictive analytics or data analysis. * 2 years of experience in training and validating statistical, physical, machine learning, and other ...

New

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics ...

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in ...

Bachelor's,Master'sdegree or higher in Computer Science, Machine Learning, or a related quantitative field; PhD preferred * Minimum 8 years of experience in industry with a strong focus on applied AI ...

Showing results 41-60

Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

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

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

What are popular job titles related to Freelance Machine Learning Quant jobs in Colorado?

For Freelance Machine Learning Quant jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Quant jobs in Colorado look for?

The top searched job categories for Freelance Machine Learning Quant jobs in Colorado are:

What cities in Colorado are hiring for Freelance Machine Learning Quant jobs?

Cities in Colorado with the most Freelance Machine Learning Quant job openings:

Infographic showing various Freelance Machine Learning Quant job openings in Colorado as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Data Science Team Leader

Denver, CO • On-site

bet365
5 - 10K employees

$155K - $165K/yr

Full-time

Re-posted 24 days ago


Bet365 rating

8.9

Company rating: 8.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


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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