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Ml Engineer Jobs in Remote, OR (NOW HIRING)

Lumen Technologies

Senior Lead Monetization Analyst

OR · Remote

... engineering, finance, sales, marketing, and go-to-market leaders to align pricing strategy with ... ML concepts, data monetization strategies, cloud infrastructure economics, and emerging digital ...

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All JobsMl Engineer JobsMl Engineer Jobs in Remote, OR

Ml Engineer information

See Remote, OR salary details

$33K

$89.1K

$141.9K

How much do ml engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ml engineer in Remote, OR is $89,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $108,900.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

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

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What job categories do people searching Ml Engineer jobs in Remote, OR look for?

The top searched job categories for Ml Engineer jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ml Engineer jobs?

Cities near Remote, OR with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $89,095 per year, or $42.8 per hour.

IT Staffing Sales Executive - Life Sciences

EVERSANA

OR • On-site, Remote

Full-time

Posted 17 days ago

Eversana rating

6.7

Company rating: 6.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

63rd of 72 rated business consultants

Job description

Company Description
At EVERSANA, we are proud to be a Great Place to Work across the globe. We're fueled by our vision to create a healthier world. How? Our global team of more than 6,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to the market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!
Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.
Job Description
IT Staffing Sales Executive - Life Sciences
About the Role
We're looking for a driven, relationship-oriented IT Staffing Sales Executive to expand our footprint within the life sciences sector, including pharmaceutical, biotech, medical device, and healthcare research organizations. This role blends strategic account development with hands-on client engagement, helping life sciences companies secure the specialized IT talent they need to accelerate innovation, maintain compliance, and bring life-changing products to market.
You'll thrive here if you enjoy building trust with technical and business stakeholders, navigating complex environments, and turning talent challenges into long-term partnerships.
Key Responsibilities
New Business Development
  • Identify, pursue, and close new IT staffing opportunities within pharma, biotech, medical device, and related life sciences organizations.
  • Build a strong pipeline through outbound outreach, networking, conferences, and industry events.
  • Position our staffing solutions to address client needs in areas like project management, data engineering, cybersecurity, R&D IT, automation, and digital transformation.

Client Relationship Management
  • Serve as a trusted advisor to hiring managers, procurement teams, and technical leaders.
  • Conduct discovery conversations to understand project goals, regulatory constraints, and talent gaps.
  • Maintain ongoing communication to ensure satisfaction, retention, and account growth.

Account Strategy & Growth
  • Develop account plans for key clients, identifying expansion opportunities across business units and technology domains.
  • Collaborate with recruiting teams to ensure timely delivery of qualified candidates.
  • Track performance metrics, forecast revenue, and contribute to quarterly business planning.

Market & Industry Insight
  • Stay current on life sciences trends, including FDA regulations, digital health, AI/ML in drug discovery, and data governance.
  • Understand the competitive landscape and articulate our value proposition clearly and confidently.
  • Provide clients with market intelligence on talent availability, compensation trends, and hiring best practices.

Qualifications
Required Skills & Experience
  • Proven success in IT staffing sales, business development, or account management.
  • Experience selling into life sciences organizations (pharma, biotech, medical device, or healthcare IT).
  • Strong understanding of IT roles such as software engineering, data science, cloud, infrastructure, cybersecurity, and systems supporting clinical or R&D environments.
  • Ability to build rapport with both technical and non-technical stakeholders.
  • Excellent communication, negotiation, and presentation skills.
  • Self-motivated, organized, and comfortable managing a full sales cycle.

Preferred Qualifications
  • Existing relationships within life sciences hiring or procurement teams.
  • Familiarity with regulated IT environments.
  • Experience working with VMS/MSP programs.
  • Bachelor's degree in business, life sciences, or a related field.

What Success Looks Like
  • Growing a portfolio of life sciences accounts with consistent revenue.
  • Becoming a go-to partner for clients navigating IT hiring challenges.
  • Collaborating seamlessly with recruiting teams to deliver high-quality talent quickly.
  • Demonstrating deep understanding of the life sciences ecosystem and its unique demands.

Additional Information
OUR CULTURAL BELIEFS
Patient Minded - I act with the patient's best interest in mind.
Client Delight - I own every client experience and its impact on results.
Take Action - I am empowered and hold myself accountable.
Grow Talent - I own my development and invest in the development of others.
Win Together - I passionately connect with anyone, anywhere, anytime to achieve results.
Communication Matters - I speak up to create transparent, thoughtful and timely dialogue.
Embrace Diversity - I create an environment of awareness and respect.
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANA's inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one's identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.
Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at applicantsupport@eversana.com.
Follow us on LinkedIn / Twitter
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). This role is eligible for hire in select U.S. locations based on business and operational considerations. For a full list of locations, visit eversana.com/careers. More information about EVERSANA's benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at any time.
From EVERSANA's inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one's identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.
Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at applicantsupport@eversana.com.
Follow us on LinkedIn / Twitter

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