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Arm Machine Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...

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 (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...

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 ...

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

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Arm Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do arm machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for arm machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, cloud platforms, and sometimes leadership or management responsibilities.

What are the key skills and qualifications needed to thrive as an Arm Machine Learning Engineer, and why are they important?

To excel as an Arm Machine Learning Engineer, you need a strong background in computer science, machine learning algorithms, and embedded systems, typically supported by a relevant degree. Familiarity with Arm architectures, programming languages like Python and C/C++, and frameworks such as TensorFlow Lite or Arm NN is essential, and certifications in embedded or AI technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this role. These competencies ensure efficient deployment of machine learning models on Arm devices, driving innovation and performance in edge computing applications.

How does an Arm Machine Learning Engineer typically collaborate with hardware and software teams during a project?

As an Arm Machine Learning Engineer, you will frequently work closely with both hardware and software teams to ensure that machine learning models are optimized for Arm-based architectures. This collaboration involves communicating model requirements, understanding hardware constraints, and iteratively refining algorithms for efficient deployment. It's common to participate in cross-functional meetings, share progress updates, and jointly troubleshoot performance bottlenecks. Strong teamwork and communication skills are essential, as successful projects often require balancing the needs and expertise of both hardware and software specialists.

What are Arm Machine Learning Engineers?

Arm Machine Learning Engineers are professionals who specialize in developing, optimizing, and deploying machine learning models on Arm-based hardware, such as CPUs, GPUs, and microcontrollers. They leverage Arm’s architecture and tools to ensure that AI applications run efficiently on a wide range of devices, from smartphones and IoT devices to servers. Their work often involves using frameworks like TensorFlow Lite and Arm NN, and may require knowledge of embedded systems, performance tuning, and model quantization. Arm Machine Learning Engineers play a critical role in bringing advanced AI capabilities to energy-efficient, edge computing platforms.

Is a machine learning engineer still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They are sought after for their skills in developing algorithms, working with tools like Python and TensorFlow, and deploying models in production environments. The role remains a strong career choice with competitive salaries and opportunities for advancement.

What is the salary of ARM machine learning engineer?

The salary of an ARM machine learning engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced engineers with specialized skills in AI and embedded systems can earn higher salaries.

What is the difference between Arm Machine Learning Engineer vs Arm Embedded Systems Engineer?

AspectArm Machine Learning EngineerArm Embedded Systems Engineer
Required CredentialsBachelor's/Master's in CS, EE; experience in ML frameworksBachelor's/Master's in EE, CS; embedded systems knowledge
Work EnvironmentResearch labs, AI development teams, software companiesHardware design, firmware development, IoT devices
Industry UsageAI/ML applications, data centers, mobile devicesConsumer electronics, automotive, IoT devices
Common Search/ComparisonYesNo

The Arm Machine Learning Engineer focuses on developing ML models optimized for Arm architectures, working primarily in AI and software environments. In contrast, the Arm Embedded Systems Engineer specializes in designing and implementing embedded hardware and firmware for devices using Arm processors. While both roles require knowledge of Arm technology, their focus areas and work environments differ significantly.

Which 5 jobs will survive AI?

Arm Machine Learning Engineers are likely to continue being in demand as AI advances, especially in roles requiring specialized knowledge of AI models, data handling, and hardware optimization. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Technical roles that require ongoing adaptation to new tools and continuous learning will remain valuable in the evolving job market.
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 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.

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

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...

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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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