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Machine Learning Engineer Jobs in Gilbert, AZ (NOW HIRING)

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US: Seattle ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US: Seattle ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US: Seattle ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Experience implementing and supporting endtoend Machine Learning workflows and patterns * Expert level programming skills in Python and experience with Data Science and ML packages and frameworks

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Master's degree + 2 years working experience in machine learning * Proficiency in at least one programming language such as Java, Python * Proficiency in big data, the use of frameworks related to ...

Master's degree + 2 years working experience in machine learning * Proficiency in at least one programming language such as Java, Python * Proficiency in big data, the use of frameworks related to ...

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

We are seeking a highly skilled AI/ML Engineer to join our team ... The ideal candidate will have extensive experience in designing and developing machine learning ...

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · Generative AI / LLMs · Prompt engineering and LLM evaluation · RAG and vector databases · REST APIs ...

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models.

Showing results 21-40

Machine Learning Engineer information

See Gilbert, AZ salary details

$31.4K

$128.4K

$192.9K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Gilbert, AZ is $128,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 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 are the most commonly searched types of Machine Learning Engineer jobs in Gilbert, AZ?

The most popular types of Machine Learning Engineer jobs in Gilbert, AZ are:

What are popular job titles related to Machine Learning Engineer jobs in Gilbert, AZ?

For Machine Learning Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Gilbert, AZ look for?

The top searched job categories for Machine Learning Engineer jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Machine Learning Engineer jobs?

Cities near Gilbert, AZ with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,390 per year, or $61.7 per hour.

Machine Learning Senior Software Engineer

Akamai Technologies, Inc.

Phoenix, AZ • On-site

$121 - $219/hr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Akamai Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies


Job description

Do you want to shape how AI models are validated, optimized, and deployed at global scale? Are you passionate about building the systems that ensure AI models perform reliably and responsibly in production Join the Akamai Inference Cloud Team!

The Akamai Inference Cloud (AIC) team is part of Akamai's Cloud Technology Group. We design and operate AI platforms enabling customers to run models with unmatched performance, compliance, and economics. This team owns the end-to-end model lifecyclefrom validation and security scanning through quantization, optimization, and monitoring. We ensure every model meets rigorous standards for quality, safety, and performance.

Partner with the best

As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models for vulnerabilities, apply quantization and optimization techniques, and build guardrails that enforce safety and compliance policies. This role requires hands-on ML experience and deep understanding of modern architectures, inference optimization, and responsible

AI.

#AIC

As a Machine Learning Senior Software Engineer, you will be responsible for:

  • Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment

  • Implementing quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardwareconfigurations

  • Building guardrail and content safety systems that enforce compliance policies and mitigate risks such as jail breaking and prompt injection

  • Designing model routing and prompt management infrastructure that supports intelligent request handling across model variants

  • Contributing to model evaluation frameworks that measure accuracy, performance, and safety metrics across the model lifecycle

Do what you love

To be successful in this role you will:

  • Have 5 years of relevant experience and a Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field

  • Demonstrate hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization

  • Show proficiency in model quantization techniques (GPTQ, AWQ, GGUF) and an understanding of how model compression impacts accuracy and latency

  • Have experience working with large language models (LLMs), transformer architectures, and multi-modal AI systems

  • Demonstrate familiarity with model safety and responsible AI practices, including content filtering, red-teaming, or adversarial robustness evaluation

  • Show proficiency in Python and experience building production data or ML pipelines

  • Have experience with containerized deployments, CI/CD practices, and cloud infrastructure (not required, but suggested)

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.

Learn (https://www.akamai.com/careers) what makes Akamai a great place to work

Connect with us on social and see what life at Akamai is like!

We power and protect life online, by solving the toughest challenges, together.

At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here.

Working for you

At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:

  • Your health

  • Your finances

  • Your family

  • Your time at work

  • Your time pursuing other endeavors

Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.

About us

Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away.

Join us

Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

Akamai Technologies is an Aff… All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

If no date is displayed, applications are being accepted on an ongoing basis until the job is filled.

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

Equal Employment Opportunity Rights

Akamai Technologies is an Aff… All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

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