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Machine Learning Engineer Jobs in Highlands Ranch, CO

Cymertek

Data Scientist / Software Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business ...

Cymertek

Software Engineer

Aurora, CO · On-site

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous learning. Technical ...

Code, LLC

Director of AI & ML

Denver, CO

Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous learning. Technical ...

Bet365

Data Science Team Lead/Manager

Denver, CO

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 ...

Bet365

Senior Data Scientist

Denver, CO

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.

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

... 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 ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

Collaboratingwith Machine Learning Engineers to champion the adoption of robustMLOpspractices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.

bet365

Data Science Team Leader

Denver, CO · On-site

... 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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Denver, CO

$107K - $147K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Cymertek

Analytic Cloud Developer

Aurora, CO · On-site

$57.25 - $78.50/hr

... Machine Learning Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Cloud Computing, Data Science, Information Technology, Software Engineering, Artificial ...

S Linx LLC

Sr AI Engineer

Greenwood Village, CO · On-site

$105K - $145K/yr

Greenwood Village, CO Duration: Long Term Required Skills: · Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP / LLM · Deep expertise in ...

Pwc

AI Engineer

Denver, CO · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Vantor

Senior Algorithm Engineer

Westminster, CO · On-site

$106K - $145K/yr

... machine learning and computer vision technologies. • Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions. • Analyze large datasets and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Highlands Ranch, CO

Machine Learning Engineer information

See Highlands Ranch, CO salary details

$33.1K

$135.2K

$203.1K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in Highlands Ranch, CO is $135,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $162,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What job categories do people searching Machine Learning Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Machine Learning Engineer jobs in Highlands Ranch, CO are:

What cities near Highlands Ranch, CO are hiring for Machine Learning Engineer jobs?

Cities near Highlands Ranch, CO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $135,157 per year, or $65 per hour.

Sr. Engineer, Machine Learning/Artificial Intelligence

Starz

Greenwood Village, CO • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Job Description
STARZ is seeking a technically deep and analytically driven Senior Engineer, AI/ML to find the signals that matter from our data. This role is for someone who thrives on navigating large, complex datasets, applying AI, machine learning, and advanced analytics to surface the patterns, anomalies, and insights that engineering teams need to act on. You will work across STARZ's Snowflake data warehouse, applying platform intelligence and streaming analytics expertise across video platform playback telemetry, customer care interactions, device & authentication events, and many other domains, as the analytical engineer who converts data into competitive advantage.
Essential Duties and Responsibilities:
  • Proactively explore a wide and growing range of technology data domains including video operational playback and workflows, customer care interactions, device lifecycle, and authentication events surfacing hidden signals that go well beyond standard dashboards
  • Continuously audit the STARZ technology ecosystem for new data sources from network infrastructure and CDN telemetry to workforce and operational systems, evaluating their potential to enrich technology insights and driving their onboarding
  • Own a repeatable signals framework, defining which KPIs and metrics to monitor, at what thresholds, and why they matter
  • Apply machine learning and statistical techniques to detect emerging issues, degradation patterns, and risk trends before they appear in operational metrics
  • Define platform health indicators and alert thresholds ensuring signals are routed to the right teams at the right time with clear escalation paths
  • Apply ML models including anomaly detection, classification, clustering, and time-series forecasting as analytical tools to uncover insights
  • Leverage generative AI and LLMs to accelerate insight generation, automate summarization of logs and telemetry, and augment root-cause analysis across technology domains
  • Explore and apply emerging AI capabilities to enhance the speed, depth, and accessibility of insights
  • Apply AI responsibly by implementing guardrails, grounding, and output validation to ensure insights generated are trustworthy and actionable
  • Serve as a strategic analytical partner to Engineering, Customer Care, Product/UX, and Executives embedding technology signals into planning, incident response, and prioritization
  • Establish a signals review cadence with technology leadership and mentor junior analysts to build a broader culture of signal-driven thinking

Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field
  • 5-8+ years of hands-on experience in data science, analytics engineering, or a closely related technical discipline
  • Strong background in SQL and large-scale cloud data warehouses; Snowflake experience preferred
  • Hands-on experience across the ML lifecycle: feature engineering, data quality, anomaly detection, classification, clustering, and time-series forecasting applied to operational or telemetry data
  • Familiarity with generative AI, LLMs, and emerging AI techniques (Agents, RAG, Prompt Engineering) in applied analytical contexts
  • Demonstrated ability to identify signals in noisy operational or telemetry datasets, distinguishing meaningful patterns from statistical noise
  • Experience in media, streaming, or digital content businesses strongly preferred

Technology & Domain Knowledge:
  • Data Platforms & Analytics: Snowflake, transformation frameworks, advanced SQL, BI tooling
  • ML Frameworks & Libraries: scikit-learn, TensorFlow, Keras, or equivalent applied to classification, clustering, anomaly detection, and time-series forecasting on operational and telemetry data
  • AI & Generative AI: experience with AI Agents, Prompt Engineering, RAG, MCP, AI safety and security practices (guardrails, grounding, output validation)
  • Streaming & Operational Data: Video streaming telemetry (playback events, error taxonomies, CDN logs, QoE/QoS), Kafka / Kinesis or equivalent, pipeline orchestration frameworks, AWS (S3, Lambda, CloudWatch)
  • Statistical Methods: change-point detection, statistical hypothesis testing, exploratory data analysis

Compensation:
$150,000 - $180,000
About STARZ
STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning "We're All Adults Here." Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.
Our Benefits
  • Full Coverage - Medical, Vision, and Dental
  • Annual discretionary bonus and merit increase
  • Work/Life Balance - generous sick days, vacation days, holidays, and wellness days
  • 401(k) company matching
  • Tuition Reimbursement (up to graduate degree)

EEO Statement
Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.
Starz logo

About Starz

Sourced by ZipRecruiter

Industry

Arts, entertainment, and recreation

Company size

501 - 1,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1994

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