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Machine Learning Engineer Deloitte Jobs (NOW HIRING)

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

NTENT

Machine Learning Engineer

Carlsbad, CA

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 ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

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 ...

Spotify

Machine Learning Engineer

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 ...

Samprasoft

Machine Learning Engineer

Mclean, VA

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

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 ...

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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 Jun 1, 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

Purple Drive

Newark, NJ

Other

Retirement

Posted 14 days ago

Job description

Overview:
Role: Machine Learning Engineer
As a Machine Learning Engineer, you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create measurable business value. You will collaborate closely with business stakeholders, data scientists, and cross-functional engineering teams to transform ideas into scalable, production-ready systems. This role requires both strong technical expertise and leadership ability to guide a small team and deliver impactful solutions.
Key Responsibilities
  • Lead and deliver machine learning projects from inception through production, building strong relationships with business partners and cross-functional teams.
  • Collaborate with business leaders and subject matter experts to define success criteria and optimize products, features, and models.
  • Partner with data scientists to design, implement, and train machine learning models.
  • Work with infrastructure teams to enhance architecture, scalability, stability, and performance of ML platforms.
  • Design and optimize data pipelines to support high-performance ML model training and inference.
  • Extend and customize machine learning libraries and frameworks for project-specific needs.
  • Define and implement model monitoring, governance, and operationalization processes for ML solutions.
  • Establish objectives and own the technical roadmap for ML platforms, ensuring delivery of results.
  • Define and promote standards of engineering and operational excellence for ML systems.
  • Apply architectural best practices in the delivery of data science and AI solutions.
Required Skills & Experience
  • Strong background in software engineering with proven experience as a Machine Learning Engineer.
  • Bachelor's degree in Computer Science, Computer Engineering, or related field; Master's preferred.
  • Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data structures, multithreading).
  • Hands-on experience with Generative AI, LangChain, and RAG-based techniques.
  • Expertise in ML/DL libraries such as XGBoost, Scikit-learn, TensorFlow, and PyTorch.
  • Experience building and deploying ML solutions on public clouds (AWS, GCP).
  • Familiarity with ML platforms such as SageMaker, H2O, and DataRobot.
  • Strong knowledge of the ML lifecycle, including containerization, batch vs. real-time inference, and application security.
  • Proven track record in developing and deploying production-grade ML applications with cloud-based automation pipelines.
  • Experience working in Agile/Scrum environments with multiple stakeholders.
  • Excellent communication, collaboration, and problem-solving skills with thought leadership and innovative thinking.
Nice-to-Have
  • Experience with search platforms (e.g., Solr, Elasticsearch).
  • Hands-on experience building recommender systems.
  • Exposure to graph databases (e.g., Neo4j).
  • Familiarity with CI/CD tools (e.g., Jenkins).
  • Domain knowledge in Financial Services, Insurance, or 401K.
  • AWS Solutions Architect certification.

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