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Machine Learning Engineer Deloitte Jobs (NOW HIRING)

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Atrium

Contract Machine Learning Engineer

Manhattan, NY · On-site

$75 - $110/hr

This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment. Salary ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Pelica Health

Machine Learning Engineer

The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

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 ...

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Machine Learning Engineer Deloitte information

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$31.5K

$128.8K

$193.5K

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

As of May 31, 2026, the average yearly pay for machine learning engineer deloitte 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 are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Deloitte, and why are they important?

To thrive as a Machine Learning Engineer at Deloitte, you need strong programming skills (especially in Python or R), a solid understanding of machine learning algorithms, and typically a degree in computer science, mathematics, or a related field. Experience with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Azure, and relevant certifications are highly beneficial. Standout soft skills include problem-solving, effective communication, and the ability to collaborate with both technical and non-technical stakeholders. These skills and qualities are essential for designing robust ML solutions, delivering business value, and working efficiently within Deloitte's multidisciplinary teams.

How does a Machine Learning Engineer at Deloitte typically collaborate with other teams on client projects?

As a Machine Learning Engineer at Deloitte, you will frequently work alongside data scientists, business analysts, and software developers to deliver data-driven solutions for clients. Collaboration often involves gathering requirements from stakeholders, translating business problems into technical tasks, and integrating machine learning models into broader applications. Regular communication with cross-functional teams ensures that solutions align with client objectives and are scalable within their existing infrastructure. This collaborative environment fosters continuous learning and exposes you to diverse industries and challenges.

What does a Machine Learning Engineer at Deloitte do?

A Machine Learning Engineer at Deloitte designs, develops, and implements machine learning models to solve complex business problems for clients. They work with large datasets, use advanced algorithms, and collaborate with data scientists, software engineers, and business stakeholders. Their role often involves creating predictive models, automating processes, and deploying scalable machine learning solutions in production environments. Additionally, they may help clients understand how to apply AI and machine learning to drive innovation and efficiency.
Infographic showing various Machine Learning Engineer Deloitte job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 94% Full Time, and 4% Part Time. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Winaxis

Fremont, CA • On-site

Contractor

Posted 13 days ago

Job description

Title: Machine Learning Engineer

Location: Fremont, CA (Local) Onsite interview

Duration: 12+ Mos  

H1B

Only h1 candidate

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

Design, develop, and deploy machine learning models for factory and warehouse environments.

Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.

Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.

Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.

Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.

Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.

Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

In-depth knowledge of Python for high-performance, data-intensive applications.

Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow).

Expertise in one or more of the following areas: computer vision, large language models, recommender systems, or operations research.

Foundational knowledge of statistics for model comparison and performance assessment.

Real-world experience deploying and maintaining machine learning solutions in production environments.

Passion for clean, sustainable, and modular code to bring research concepts to practical implementation.

Preferred Qualifications

Experience working in manufacturing, industrial automation, or warehouse environments.

Familiarity with multi-modal data integration and analysis.

Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.

Excellent communication skills for cross-functional teamwork.