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60 Verily Machine Learning Engineer Jobs Hiring Near You

Machine Learning Engineer Machine Learning Engineers in our applied division design and build massively scaled systems that power the core of Diffbot's autonomous knowledge extraction system--the ...

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 Calgary, AB, Canada Full-time Company Description Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data ...

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 Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

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Verily Jobs Information

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 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 are Machine Learning Engineers?

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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.

What other companies are hiring for Machine Learning Engineer jobs?
What are the most popular categories at Verily?
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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 | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Data Scientist 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 | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] is aligned with GSA Labor Category: Data Scientist.

We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] 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.

Intelligent Automation (AI & RPA): Implement intelligent automation of HR business processes using agency-approved technologies such as robotic process automation (RPA), AI-driven workflows, and chatbots. The ProSidian Engagement Team should recommend and implement a balanced mix of RPA and AI capabilities based on business needs, control requirements, and return on investment, and provide guidance on machine learning ethics and responsible AI in alignment with federal policy.

RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057]

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.

Intelligent Automation (AI & RPA): Implement intelligent automation of HR business processes using agency-approved technologies such as robotic process automation (RPA), AI-driven workflows, and chatbots. The ProSidian Engagement Team should recommend and implement a balanced mix of RPA and AI capabilities based on business needs, control requirements, and return on investment, and provide guidance on machine learning ethics and responsible AI in alignment with federal policy.  Machine Learning Engineer Candidates work to facilitate AI & RPA Automation delivering Human Capital Technology Support - Intelligent Automation (AI & RPA) through Train models | deploy AI | generate insights.  Further, they Develop ML models, integrate AI into workflows, support predictive analytics.

Machine Learning Engineer Professionals typically cover Intelligent Automation (AI & RPA) 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 Intelligent Automation (AI & RPA); 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 | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] (NSF0057057) Candidates:  5+ years ML.

Education / Experience Requirements / Qualifications

Bachelor's/Master's Data Science.  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 Human Capital Technology Support - Intelligent Automation (AI & RPA) Functional Area Activities. 

Python, ML, NLP

Competencies Required

  • Analytical thinking

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 AI insights

#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.

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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.

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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...

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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

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