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Remote Machine Learning Engineer Biotech Jobs in Baltimore, MD

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

We are seeking talented and motivated Data Scientists with expertise in machine learning ... BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with ...

Index Analytics

Senior Data Scientist

Baltimore, MD · On-site +1

$140K - $200K/yr

Serve as a technical lead on AI and machine learning initiatives, providing guidance on solution ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

Leidos

Software Engineering & AI Intern

Odenton, MD · Remote

This role is primarily remote, with mandatory, periodic on-site requirements at either Scott AFB ... apply predictive machine learning and generative AI to detect emerging problems and advance ...

Mondo

Data Engineer

Baltimore, MD · Remote

$100K - $150K/yr

The schedule can be structured rotationally, such as 1-2 weeks onsite followed by 1-2 weeks remote ... Support data infrastructure that enables analytics and future machine learning and AI use cases

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Remote Machine Learning Engineer Biotech information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

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

As of Sep 5, 2026, the average yearly pay for remote machine learning engineer biotech in Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Baltimore, MD?

For Remote Machine Learning Engineer Biotech jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Baltimore, MD look for?

The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Baltimore, MD with the most Remote Machine Learning Engineer Biotech job openings:

Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,950 per year, or $61.5 per hour.

AWS AI Solutions Architect / AI Engineering Advisor

Aligned Technology Group

Baltimore, MD • On-site, Remote

$62.50 - $82.50/hr

Contractor

Re-posted 14 days ago

Job description

About Aligned Technology Group (Aligned TG)
Aligned TG empowers organizations to harness the full potential of AWS cloud technologies, driving secure, scalable, and sustainable business outcomes. We approach every challenge with grit, embracing a results-driven mindset to ensure our clients achieve their goals. Our mission is to deliver unparalleled cloud advisory, engineering, financial management, and security services while continuously learning and innovating to stay ahead of industry advancements. Guided by a culture of collaboration and humility-where being "Team AWSome" means leaving egos at the door-we tailor our services to meet the unique needs of technology-enabled startups, mid-market, and enterprise clients. With a focus on execution, agility, and excellence, we are the trusted partner businesses rely on to navigate the complexities of cloud modernization and achieve their strategic objectives.
Position Overview
Aligned Technology Group is seeking an AI Solutions Architect to help customers evaluate, design, and implement AI and Generative AI solutions on AWS. This role combines strategic consulting with hands-on architecture and engineering to deliver AI-driven business outcomes.
Responsibilities
  • Assess business use cases for AI, machine learning, and Generative AI
  • Develop AI adoption roadmaps and governance frameworks
  • Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
  • Build proof-of-concept and pilot AI solutions
  • Develop Retrieval-Augmented Generation (RAG) architectures and knowledge bases
  • Implement AI-powered automation and workflow solutions
  • Establish responsible AI practices, guardrails, and governance controls
  • Conduct workshops, training sessions, and knowledge transfer activities
  • Collaborate with business and technical stakeholders to identify AI opportunities

Qualifications
  • 5+ years of cloud architecture, AI, machine learning, or data engineering experience
  • Hands-on experience with Generative AI and Large Language Models
  • Experience with Amazon Bedrock, SageMaker, and AI application development
  • Knowledge of RAG architectures, vector databases, and AI governance
  • Strong customer-facing consulting and communication skills
  • AWS Solutions Architect certification preferred
  • AWS AI Practitioner or AWS Machine Learning Specialty preferred

Apply