Mid Level HR Consultant Jobs
Mid level hr consultant jobs go to professionals ready to own HR projects end to end, guide junior team members, and shape people decisions with limited day-to-day oversight. Hiring runs across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with a mix of on-site, hybrid, and remote roles, and employers like Sage Hospitality, Paychex, and Formlabs competing for hr consultants at this level now.
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At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple’s employees are able to do the best work of their lives.
Our team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees.
As a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.
Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
Description
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.
","responsibilities":"Design data science / machine learning approaches, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.
Collaborate with data engineers and platform architects to implement real-time and batch decisioning solutions in production.
Ensure operational and business metric health by monitoring production decision points.
Develop metrics to measure performance of analytics solutions, and regularly communicate results to business partners and executives.
Research new technologies and methods across machine learning, data engineering, and data visualization to improve the technical capabilities of the team.
Preferred Qualifications
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist
Experience working with employee data or HR systems
Minimum Qualifications
MS with 5+ years of professional experience applying data science to real-world business problems
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
Proficiency in writing SQL queries involving database joins and analytical/window functions
Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
Prior experience working with employee data or HR systems
Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
Ability to translate business processes and data into an analytic solution.
Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple’s employees are able to do the best work of their lives.
Our team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees.
As a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.
Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
Description
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.
","responsibilities":"Design data science / machine learning approaches, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.
Collaborate with data engineers and platform architects to implement real-time and batch decisioning solutions in production.
Ensure operational and business metric health by monitoring production decision points.
Develop metrics to measure performance of analytics solutions, and regularly communicate results to business partners and executives.
Research new technologies and methods across machine learning, data engineering, and data visualization to improve the technical capabilities of the team.
Preferred Qualifications
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist
Experience working with employee data or HR systems
Minimum Qualifications
MS with 5+ years of professional experience applying data science to real-world business problems
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
Proficiency in writing SQL queries involving database joins and analytical/window functions
Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
Prior experience working with employee data or HR systems
Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
Ability to translate business processes and data into an analytic solution.
Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Find Mid Level HR Consultant JobsMid Level HR Consultant Job Market
Who's Hiring
- Sage Hospitality8
- Paychex6
- Formlabs4
- Trinity Health4
- STIO3
Top Industries Hiring
- Technology & Software40
- Healthcare & Medical Services13
- Consulting & Professional Services10
- Insurance9
- Accounting & Auditing9
Mid Level HR Consultant Jobs: Frequently Asked Questions
How do I get a mid level hr consultant job?
Position yourself around ownership, not just participation. Highlight HR projects you led from design to delivery, metrics that show your impact on retention, hiring efficiency, or compliance, and any situations where you advised managers or stakeholders independently. Tailor your resume to reflect the specific HR function the role emphasizes, whether that is talent acquisition, employee relations, or HR business partnering, and surface examples of judgment calls you made without heavy supervision.
Which companies hire mid level hr consultants?
Companies hiring mid level hr consultants right now include Sage Hospitality, Paychex, and Formlabs, based on current listings on Migrate Mate as of July 2026. At this level, hiring comes from a wide range of organizations, including professional services firms, large enterprises with established HR functions, and mid-size companies building out their people operations.
Are there remote mid level hr consultant jobs?
Yes, remote and hybrid options are a real part of the mid level hr consultant market. About 30% of mid level hr consultant openings are remote or hybrid as of July 2026, reflecting how many organizations now treat HR consulting work as location-flexible. On-site roles still exist, especially where day-to-day employee relations or on-the-floor HR support is a core expectation.
How do I move up to a mid level hr consultant role?
The path from entry level into mid level hr consulting is built through progressively owning more of the work. That means moving from executing tasks under guidance to managing full project cycles, deepening expertise in at least one HR discipline, and building a record of measurable outcomes. Taking on cross-functional projects, earning relevant credentials like a PHR or SHRM-CP, and demonstrating that managers and stakeholders trust your judgment all signal readiness for this level.
Which industries hire the most mid level hr consultants?
Mid Level hr consultant roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors tend to drive hiring at this level because they have complex workforce needs, ongoing compliance requirements, or high employee volume that demands experienced HR professionals who can work with real autonomy.