1

Urgently Hiring Machine Learning Engineer Biotech Jobs

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

next page

Showing results 1-20

Urgently Hiring Machine Learning Engineer Biotech information

See salary details

$19

$59

$81

How much do urgently hiring machine learning engineer biotech jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for urgently hiring machine learning engineer biotech in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.

Is a machine learning engineer still in demand?

Machine learning engineers are in high demand across industries, especially in biotech where AI-driven data analysis and predictive modeling are critical. The role requires skills in programming, data science, and familiarity with tools like Python, TensorFlow, or PyTorch, making it a valuable and sought-after position in the current job market.

Which 5 jobs will survive AI?

Machine Learning Engineers in biotech are likely to continue thriving as AI advances because they develop and refine AI models, requiring specialized skills in data science, programming, and domain knowledge. Jobs that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, researchers, data scientists, software developers, and regulatory specialists—are also expected to persist despite automation. These roles often require critical thinking and adaptability that AI cannot fully replicate yet.

What engineer makes $500,000 a year?

A senior machine learning engineer in biotech or related fields can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working at top-tier companies or startups. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

Can AI take over biotechnology jobs?

In biotechnology, machine learning engineers develop AI models to analyze biological data, automate experiments, and optimize processes. While AI can automate certain tasks, it typically complements human expertise rather than replacing entire roles, requiring skills in data analysis, programming, and domain knowledge. Human oversight remains essential for interpretation, decision-making, and ethical considerations in biotech work.

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

AspectUrgently Hiring Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Stats, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/RAnalyzing data, creating reports, statistical modeling
Employer & Industry UsageTech-driven biotech firms, startups, R&D departmentsResearch institutions, biotech companies, analytics teams

Urgently Hiring Machine Learning Engineers focus on building and deploying ML models in biotech, while Data Scientists analyze data and generate insights. Both roles require similar educational backgrounds but differ in daily tasks and technical focus.

More about Urgently Hiring Machine Learning Engineer Biotech jobs
What cities are hiring for Urgently Hiring Machine Learning Engineer Biotech jobs? Cities with the most Urgently Hiring Machine Learning Engineer Biotech job openings:
What are the most commonly searched types of Machine Learning Engineer Biotech jobs? The most popular types of Machine Learning Engineer Biotech jobs are:
What states have the most Urgently Hiring Machine Learning Engineer Biotech jobs? States with the most job openings for Urgently Hiring Machine Learning Engineer Biotech jobs include:
What job categories do people searching Urgently Hiring Machine Learning Engineer Biotech jobs look for? The top searched job categories for Urgently Hiring Machine Learning Engineer Biotech jobs are:
Infographic showing various Urgently Hiring Machine Learning Engineer Biotech job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,952 per year, or $59.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Company Description

ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations.  Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.com

Job Description

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Systems Engineer Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization

The Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] is aligned with GSA Labor Category: Systems Engineer.

We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0

JOB OVERVIEW

Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Data Scientist Support - Consultative support for specialized workforce research & HR analytics.

RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112]

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Data Scientist Support - Consultative support for specialized workforce research & HR analytics.  Machine Learning Engineer Candidates work to facilitate Data Scientist Support delivering Data Management & Business Intelligence - Data Scientist Support through Build models | deploy ML | optimize performance.  Further, they Develop and deploy machine learning models for workforce analytics.

Machine Learning Engineer Professionals typically cover Data Scientist Support Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent execution, strong subject-matter expertise, and responsibility for complex deliverables..  They Engineer, test, and optimize technical components for Data Scientist Support; support system integration, data pipelines, automation routines, cloud services, and operational reliability.

The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid).  Initially identified Work Site Address (Working Hybrid On/Off Client Site:  401 Dulany Street Randolph Building Alexandria, VA 22314

Qualifications

Desired Qualifications For Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] (NSF0112112) Candidates:  5+ years ML.

Education / Experience Requirements / Qualifications

Bachelor's/Master's.  5+ years ML.

Skills Required

Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Data Scientist Support Functional Area Activities. 

ML frameworks

Competencies Required

  • Problem solving

Ancillary Details Of The Roles

  • Artifacts: models
  • Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.
  • EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow.  We strive to create a challenging and progressive work environment.  We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.
  • Ful Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position.  U.S.  Citizenship Required You must be a United States Citizen
  • Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions.  In addition, ProSidian may conduct drug testing for designated positions.

Other Details

Supports predictive analytics

#TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek

Additional Information

As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.

Eight ProSidian Global Competencies

  1. Personal Effectiveness - The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.
  2. Continuous Learning - Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.
  3. Leadership - Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.
  4. Client Service - Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.
  5. Business Management - Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.
  6. Business Development - Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.
  7. Technical Expertise - Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.
  8. Innovation & Knowledge Sharing (Thought Leadership) - Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement.

------------ --------------- ------------

OTHER REQUIREMENTS

  • Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office.  The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.
    • Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.
  • Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.
  • Humility - exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.
  • Willingness - to constantly learn, share, and grow and to view the world as their classroom.

------------ --------------- ------------

BENEFITS AND HIGHLIGHTS

ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian.  At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance.  We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being.  Our growing list of benefits currently includes the following for Full-Time Employees:

  • Competitive Compensation: The pay range is competitive and includes group health benefits, pre-tax employee benefits, and performance incentives.  The company contributes a fixed dollar amount each month toward the plan chosen for medical and dental benefits, with contributions deducted on a pre-tax basis.
  • Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with network providers to offer eligible employees a variety of medical and dental plans, including high-deductible health plans and PPOs.  ProSidian also provides plans for both high and low vision..
  • 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plans allow eligible employees to save for retirement.  A variety of investment options are available, along with support from a personal financial planner.  The plan operates as a pre-tax Safe Harbor 401(k) Retirement Savings Plan that includes a company match.
  • Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events.  These benefits include 2 weeks of vacation, 3 sick days, 10 ProSidian holidays, and government holidays..
  • Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits.
  • Purchasing Discounts & Savings Plans: We aim for your financial success; thus, we offer a Purchasing Discounts and Savings Plan through the Corporate Perks Benefit Program.  This program provides special discounts to eligible employees on everyday purchases of products and services.
  • Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace.  Security clearance is a valuable asset in your professional portfolio, enhancing your credentials.
  • ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program.
  • Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting..
  • Flexible Spending Account: FSAs help you cover eligible out-of-pocket healthcare and dependent daycare expenses on a pre-tax basis.  You estimate your expected costs for the planned year and choose to set aside a portion of each paycheck into your FSA.
  • Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you can choose supplemental life insurance.  D&D covers...

ProSidian Consulting logo

About ProSidian Consulting

Sourced by ZipRecruiter

ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Charlotte, NC, US

Year founded

2004

Social media