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Director Machine Learning Jobs in Buckeye, AZ (NOW HIRING)

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

Account Executive

Phoenix, AZ ยท On-site

$130K/yr

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

Past example internship projects include machine learning development, automating current manual ... Self-Directed Growth and Development Work Experience Roles at this level are filled by recent ...

Senior Agent AI Engineer

Phoenix, AZ

$128K - $176K/yr

Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors to enable ... Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ...

Senior Agent AI Engineer

Phoenix, AZ ยท On-site

$128K - $176K/yr

Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors to enable ... Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical ...

US Tech - AI Engineering Manager

Phoenix, AZ ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... As a Director, you drive thought leadership, promote technological advances, and create an ...

We empower our team to push the boundaries of what is possible-while learning every day in a ... Plans and performs very complex machine set-ups. Makes full use of machine capacity to minimize ...

... Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in ... Procuring new clients through direct contact, word-of-mouth, and collaboration with the marketing ...

Showing results 21-40

Director Machine Learning information

See Buckeye, AZ salary details

$35.1K

$89.8K

$137.7K

How much do director machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for director machine learning in Buckeye, AZ is $89,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $103,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Buckeye, AZ?

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

What are popular job titles related to Director Machine Learning jobs in Buckeye, AZ?

For Director Machine Learning jobs in Buckeye, AZ, the most frequently searched job titles are:

What cities near Buckeye, AZ are hiring for Director Machine Learning jobs?

Cities near Buckeye, AZ with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Buckeye, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,759 per year, or $43.2 per hour.

Advanced Technologies Consultant at Epiq Systems Phoenix, AZ

Fairweather, LLC

Phoenix, AZ โ€ข On-site

$110 - $135/hr

Other

Posted 19 days ago


Job description

Advanced Technologies Consultant โ€“ Phoenix, AZ

At Epiq, your work contributes to complex, global legal outcomes. Youโ€™ll join a valuesโ€‘driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterpriseโ€‘wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility thatโ€™s recognized externally. Enabled by modern platforms and AI, youโ€™ll do the most meaningful work of your career and see your impact at scale.


Job Description
Position Summary

Epiqโ€™s Advanced Technologies Consultants support clientsโ€™ document review needs using advanced analytics, including machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and serves as a subject matter expert in applying machine learning and/or generative AI to client data sets. The Consultant partners with Client Services and Document Review Services to ensure successful engagements and coordinates with internal teams including Sales, Managed Review, and Information Technology. This role requires the ability to manage multiple projects concurrently; evening and weekend work may occasionally be required to meet case needs and deadlines.


Primary Responsibilities

  • Serve as a subject matter expert on predictive coding (TAR 1.0 and 2.0) and AI-enabled review workflows.

  • Consult with external stakeholders to identify appropriate analytics tools, workflows, and required deliverables.

  • Build and manage models in Epiq AI (EAI), Relativity aiR, and Relativity Active Learning; advise on model selection and useโ€‘case scenarios.

  • Develop and refine prompts and instructions for AI tools (chat and classification) to improve quality and consistency of outputs.

  • Implement EpiqAI for Privilege and Relativity aiR for Privilege workflows; advise on appropriate use cases and clearly articulate tool capabilities, limitations, and defensibility considerations to clients and internal teams.

  • Explain statistical measurements, validation concepts, and key considerations to audiences with varying technical backgrounds (written and oral communication).

  • Stay current on developments in eDiscovery, analytics, and AI/GenAI capabilities relevant to review.

  • Demonstrate endโ€‘toโ€‘end knowledge of the eDiscovery lifecycle, including identifying potential risks/headwinds for AI processes and defining the critical path for review and production.

  • Draft recommended protocols and respond to client specifications and technical requests.

  • Document project decisions and transfer knowledge to Managed Review and Client Services teams to enable efficient, repeatable TAR/AI workflows.

  • Maintain expertise through ongoing education and relevant certifications in the analytics platforms deployed by Epiq.

  • Mentor colleagues and serve as an internal subject matter expert to expand Epiqโ€™s analytics knowledge.

  • Contribute to thought leadership through speaking opportunities and authorship.

  • Support business development as needed through demonstrations, training, client presentations, and preโ€‘sales meeting participation.

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    Mandatory Obligations Mandatory Mandatory Obligations Mand mandatory obligations mandatory oblig Mand oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory oblig mandatory obst


Required Qualifications

  • Ability to support client needs aligned to Eastern Time (most clients prefer EST hours of availability).

  • Bachelorโ€™s degree or higher (or equivalent experience).

  • Minimum 5 years of client-facing experience in an eDiscovery capacity.

  • Proficiency with Relativity (Server or RelativityOne), Epiq Discover, and administration of document review databases.

  • Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an eDiscovery context.

  • Strong understanding of large language models (LLMs).

  • Experience crafting prompts for LLMs (e.g., Copilot, Claude, Gemini, Harvey) and evaluating/refining outputs.

  • Proficiency with Microsoft 365 (O365).

  • Ability to synthesize complex solutions into clear, client-ready explanations.

  • Exceptional verbal and written communication skills.

  • Excellent issue-spotting and problemโ€‘solving skills.

  • Willingness to go above and beyond to meet client expectations.


Preferred Qualifications

  • Advanced degree preferred.

  • Significant relevant industry experience may be considered in lieu of an advanced degree.

  • Relativity Certified Administrator certification.

  • Familiarity with Relativity Active Learning, Reveal AI, Brainspace, or similar TAR/AI tools used to reduce data volumes and organize data for review (certification preferred).

  • Experience managing privilege reviews and providing procedural guidance, including common-name normalization, drafting privilege log descriptions, and applying standard industry workflows for privilege identification.

  • Power BI, Python, and/or SQL experience.


Salary and Benefits

The compensation range for this role is $110,000 to $135,000 USD annually and may be eligible for an annual bonus.


Your specific salary will be determined based on several factors:



  • Location-based market rate for the role

  • Your abilities in relation to the job specification

  • Performance during screening and interview

  • Pay parity with the wider team in the considered location


Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.


Epiq Leadership Compass

Epiq Leadership CompassFosters Relationships & Collaboration Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success. Build trust-based partnerships Nurture long-term relationships Remove collaboration barriers Celebrate cross-team success Engages & Influences Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.Use storytelling to build buy-inAlign communication with organizational goalsGuild alignment through strong engagementMaximizes PerformanceSets and reinforces performance standards that drive results, ensure accountability, and align with Epiqโ€™s goals.Use data to identify improvement opportunitiesMake informed decisionsAlign team goals with boarder strategyEmpower teams to manage their own goalsTranslate vision into clear prioritiesPrepare for disruptions with strong change managementAchieves Operational SuccessDrives continuous improvement and operational excellence through smart processes, data insights, and quality execution.Improve workflows for team efficiencyUse clear documentation and expectationsResolve issues quickly using data and feedback


It is Epiqโ€™s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individualโ€™s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiqโ€™s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


Summary

  • Location: Atlanta, GA; New York, NY; Chicago, IL; Beaverton, OR; OverlandPark, KS; Tampa, FL; Washington, DC; Phoenix, AZ

  • Type: Full time

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