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Freelance Machine Learning Jobs in Georgia (NOW HIRING)

Freelance Machine Learning information

See Georgia salary details

$12

$40

$111

How much do freelance machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for freelance machine learning in Georgia is $40.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $52.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in freelance machine learning?

To thrive as a Freelance Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially in Python or R), and experience with machine learning algorithms. Proficiency in tools like TensorFlow, PyTorch, scikit-learn, and often cloud platforms such as AWS or Google Cloud is highly valuable, and certifications in data science or machine learning can enhance your credibility. Strong communication skills, self-motivation, and the ability to manage time and client relationships independently help you excel in a freelance setting. These abilities ensure you can deliver effective solutions, secure repeat clients, and adapt quickly to various project requirements in a competitive market.

What are common challenges faced by freelance machine learning professionals and how can they be managed?

Freelance Machine Learning professionals often face challenges such as managing multiple projects with varying requirements, keeping up with rapidly evolving technologies, and clarifying expectations with diverse clients. Effective time management, strong communication to set clear deliverables, and continual learning are key strategies to overcome these obstacles. Building a broad professional network and maintaining a strong online portfolio also help freelancers attract and retain clients. Staying organized and routinely updating technical skills can turn these challenges into opportunities for professional growth and success.

What is a freelance machine learning?

A Freelance Machine Learning job involves working independently on machine learning projects for various clients instead of being employed by a single company. Freelancers may develop models, analyze data, fine-tune algorithms, or deploy AI solutions based on client needs. They often find work through freelance platforms, networking, or direct client outreach. This role offers flexibility in workload, project selection, and work location, but it also requires self-marketing and project management skills.

What are the most commonly searched types of Machine Learning jobs in Georgia?

The most popular types of Machine Learning jobs in Georgia are:

What are popular job titles related to Freelance Machine Learning jobs in Georgia?

For Freelance Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning jobs in Georgia look for?

The top searched job categories for Freelance Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Freelance Machine Learning jobs?

Cities in Georgia with the most Freelance Machine Learning job openings:

Infographic showing various Freelance Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 46% Full Time, 18% Part Time, 15% Temporary, and 21% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $83,788 per year, or $40.3 per hour.

Freelance Senior Talent Acquisition Partner (Tech GTM-Sales)

WPP

Atlanta, GA • Remote

Full-time

Posted 4 days ago


Job description

Why we're hiring:

The Senior Talent Acquisition Partner - Tech Sales, Commercial, Tech and Data is a senior hands-on recruitment role responsible for delivering high-quality hiring across specialist commercial, SaaS sales, technology, data, AI, product, platform and digital talent within a fast-moving technology-led environment. 

This a 4-month temporary role based in the United States and can be fully remote within the US. Reporting into the Lead Talent Partner, the role will focus on pure recruitment delivery across commercial, SaaS sales and specialist technology roles, with a primary remit covering LATAM, North America and Canada. The successful candidate will bring strong experience hiring go-to-market and sales talent in SaaS or technology environments, alongside the ability to deliver searches across data, technology and digital roles. They will partner closely with senior hiring leaders, HR colleagues and the wider Talent Acquisition team to understand live hiring needs, manage expectations, execute agreed hiring plans, and build strong candidate pipelines across the Americas markets. The role requires excellent time management, attention to detail, strong communication and the ability to deliver multiple vacancies at pace without compromising quality or 

What you'll be doing:

Tech and Data Hiring Delivery 

  • Deliver end-to-end recruitment for commercial, SaaS sales, go-to-market, technology, data, AI, engineering, product, platform, analytics and digital roles across LATAM, North America and Canada. 
  • Execute agreed hiring plans, sourcing strategies, pipeline activity and delivery milestones for specialist SaaS sales, commercial and technology roles in partnership with the Lead Talent Partner and hiring teams. 
  • Build strong market intelligence across LATAM, North America and Canada for SaaS sales, enterprise sales, account executive, sales leadership, customer success, technology, data, cloud, AI, product, engineering, analytics and emerging digital talent markets. 
  • Use recruitment data, funnel insight, candidate feedback and sourcing performance to improve delivery, conversion and candidate quality. 
  • Maintain strong delivery discipline across sourcing, screening, interview coordination, feedback, offer management and candidate close. 

Senior Stakeholder Partnership and Expectation Management 

  • Partner confidently with senior hiring leaders across Commercial, SaaS Sales, Go-to-Market, Technology, Data, AI, Engineering, Product, Platform, Analytics and Digital teams to deliver against approved requisitions. 
  • Provide practical market insight on candidate availability, skills requirements, compensation expectations, location considerations and hiring feasibility. 
  • Build effective working relationships with HRBPs, Finance, Reward, Mobility, Inclusion, Employer Brand and wider TA colleagues to support smooth delivery. 
  • Manage senior stakeholder expectations with confidence, using market insight, data, prioritisation and clear communication to align on hiring timelines, trade-offs and delivery risks. 
  • Provide clear, timely and delivery-focused updates on pipeline progress, risks, blockers and recommended next actions, ensuring strong expectation management with senior stakeholders throughout the hiring process. 

Recruitment Delivery and Operational Excellence 

  • Manage the full recruitment lifecycle for assigned commercial, SaaS sales, Tech and Data roles, from role intake and sourcing through to offer and close, while balancing multiple vacancies and competing priorities. 
  • Drive structured intake, candidate calibration, assessment alignment, interview planning, feedback management and offer processes. 
  • Track hiring performance against key delivery metrics including time-to-hire, pipeline quality, conversion, offer acceptance and candidate experience. 
  • Apply strong time management and prioritisation to manage multiple vacancies simultaneously, keeping hiring activity moving and stakeholders informed. 
  • Maintain consistent hiring standards, process discipline, compliance, attention to detail and execution quality across assigned requisitions. 

Hands-On Commercial, SaaS Sales, Technology and Data Hiring 

  • Personally lead searches across SaaS sales, enterprise sales, account executive, sales leadership, customer success, commercial operations, software engineering, data engineering, data science, AI, machine learning, analytics, product, platform, cloud and digital roles. 
  • Develop sourcing strategies using direct outreach, market mapping, referrals, competitor intelligence, research-led sourcing and talent communities. 
  • Engage and assess candidates who combine SaaS sales or commercial depth with technology market understanding, strong stakeholder credibility, delivery mindset and measurable business impact. 
  • Guide hiring teams through candidate calibration, market realities, compensation expectations and offer negotiation in competitive technology and data talent markets. 

Recruitment Tools, Data and Delivery Improvement 

  • Use recruitment data, market intelligence and sourcing analytics to improve hiring quality, speed and decision making. 
  • Use modern sourcing tools, CRM platforms, automation and AI-enabled recruitment approaches responsibly to improve productivity and candidate identification. 
  • Maintain accurate recruitment data, pipeline records, candidate notes and hiring activity updates in relevant systems. 
  • Identify practical opportunities to improve sourcing, candidate engagement, reporting discipline and delivery execution. 

Collaboration and Team Contribution 

  • Contribute to a collaborative, inclusive and high-performing TA culture focused on delivery quality, pace and candidate experience. 
  • Share market insight, sourcing best practice and candidate intelligence with colleagues across the TA team. 
  • Work closely with the Lead Talent Partner to align delivery priorities, manage risks and maintain hiring momentum. 
  • Act as a positive ambassador for the Tech and Data Talent Acquisition function internally and externally. 

What you'll need:

  • Strong hands-on talent acquisition experience, ideally gained in SaaS, technology, commercial, go-to-market or fast-moving technology-led environments. 
  • Demonstrable experience delivering hiring across SaaS sales, enterprise sales, commercial, customer success, technology, data, AI, engineering, product, platform, analytics, cloud or digital roles. 
  • Good understanding of SaaS sales and technology talent markets across LATAM, North America and Canada, including enterprise sales, account executives, commercial leadership, customer success, software engineering, data engineering, AI, machine learning, analytics, cloud platforms, product and platform roles. 
  • Proven ability to work confidently with senior hiring managers and cross-functional stakeholders, managing expectations, influencing decisions and maintaining delivery momentum. 
  • Strong hands-on sourcing capability, including market mapping, direct outreach, talent intelligence and candidate engagement. 
  • Strong analytical mindset with the ability to use recruitment data to guide delivery activity and improve conversion. 
  • Comfortable using recruitment technology, CRM platforms, talent intelligence tools, automation and AI-enabled sourcing solutions. 
  • Delivery focused, pragmatic and able to balance quality, pace, stakeholder expectations, competing priorities and multiple live vacancies in competitive specialist talent markets. 
  • Excellent communication, judgement, attention to detail, time management, candidate management and follow-through skills. 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people - We aim to create a culture in which people can do extraordinary work.

Scale and opportunity - We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work - Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid #LI-DNP


WPP logo

About WPP

Sourced by ZipRecruiter

WPP is a renowned organization within the creative transformation industry. With its headquarters situated in New York, NY, US, the company has been revolutionizing the fields of communications, experience, commerce and technology with their integrated services since they were founded in 1985. Initially starting with investments in marketing companies, WPP has since grown exponentially to encompass a variety of allied industries. They are committed to fostering better futures for clients and communities through their functional specialties. The company’s mission revolves around deriving creative solutions that are engaging, efficient and responsible.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

New York, NY, US