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Remote Machine Learning Engineer Biotech Jobs in Denver, CO

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

Senior Software Engineer

Denver, CO · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and ... Interest in AI, machine learning, or intelligent automation.

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... This is a mostly remote position; candidates should reside or be willing to relocate to Northern ...

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation ... Contribute to automation and data-driven technologies, including support for machine learning and ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Showing results 21-40

Remote Machine Learning Engineer Biotech information

See Denver, CO salary details

$32.4K

$132.5K

$199.2K

How much do remote machine learning engineer biotech jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote machine learning engineer biotech in Denver, CO is $132,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Denver, CO? For Remote Machine Learning Engineer Biotech jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Denver, CO are:

Staff AI/ML Engineer (Large Language Model) (TS/SCI) {S}

ARKA Group

Aurora, CO • On-site, Remote

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

The Staff AI/ML Engineer (LLMs) will lead the development of Agentic AI capabilities and other LLM based capabilities for a multitude of mission management applications.

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Responsibilities:

Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers

  • Lead and mentor a multidisciplinary team delivering advanced AI/ML solutions
  • Apply LLMs to complex domain-specific problems and operational workflows
  • Adapt and fine-tune foundation models for specialized use cases
  • Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures
  • Build production-grade LLM applications and agentic systems
  • Deploy scalable AI solutions across cloud, on-prem, and hybrid environments
  • Analyze large, multi-modal datasets to extract meaningful features and actionable insights
  • Translate emerging research into applied, mission-relevant capabilities
  • Communicate technical strategy, status, and risks to internal and external leadership

Required Qualifications:

  • B.S. in machine learning, computer science, mathematics, or related fields
  • 8+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
    • Fine-tuning foundational models
    • Steering Techniques (e.g Sparse auto encoders, representation tuning)
    • Building adapters to use foundational models (e.g. PEFT, llama factory)
    • Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
    • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone, pgvector)
    • Using LLM Frameworks (e.g. LangChain, DSPy, Microsoft Agent Framework)
    • Using AI APIs ( e.g AWS Bedrock, OpenAI)
    • Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
    • Developing UIs with ReAct
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience with Python and data science / machine learning libraries (e.g. NumPy, Pandas, Polars, scikit-learn, etc.)
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:

  • M.S. or PhD in machine learning, computer science, mathematics, or related fields
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following:
    • Large Language Models and experience identifying ways to incorporate them into new domains and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Natural Language Processing algorithms such as BERT
    • Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
    • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
    • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
    • Experience with Linux
    • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
    • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
    • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
    • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience shaping and writing proposals
  • Adjudicated Counter Intelligence or Full Scope Polygraph

Pay Range: $150,000 - $200,000

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

The application window will close in 60 days for this position.

Location: Aurora, CO

Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.

What We Offer:

  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:

This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

ITC & Security Clearance Requirements:

This position requires an active TS/SCI U.S. Government Security Clearance.

Visa Restrictions:

No visa sponsorship is available for this position.

Pre-employment Screenings:

Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.