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Machining Apprentice Jobs in Canton, GA (NOW HIRING)

CFL USA

Multicraft/Electrician

Adairsville, GA · On-site

Thoroughly cleans machines and machine parts, removing parts and reinstalling as necessary. * Oils ... Completion of a formal apprenticeship and valid electrician's license required preferred.

CFL USA

Electrician Automation

Adairsville, GA · On-site

Thoroughly cleans machines and machine parts, removing parts and reinstalling as necessary. * Oils ... Completion of a formal apprenticeship and valid electrician's license required preferred.

The city of Marietta

Water System Operator 2026

Marietta, GA · On-site

$20.75 - $23.67/hr

... machine. * Installs water and wastewater taps for new services. * Installs and services fire ... Must have a high school diploma or GED and minimum experience of at least one year as an Apprentice ...

EXPLORING LLC

Welder Fabricator

Atlanta, GA · On-site

$19.25 - $24.75/hr

Maintain welding equipment, tools, machinery, and work areas in a clean, safe, and organized ... Completion of a welding apprenticeship, trade-school program, or equivalent hands-on training.

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Machining Apprentice information

See Canton, GA salary details

$12

$19

$27

How much do machining apprentice jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for machining apprentice in Canton, GA is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.67 per hour, depending on experience, location, and employer.

What is a machining apprentice?

A machining apprentice is an individual who is training to become a skilled machinist by working under the supervision of experienced professionals. Apprenticeships combine on-the-job training with classroom instruction, allowing apprentices to learn how to operate machines such as lathes, mills, and grinders. Over the course of the program, apprentices gain hands-on experience in reading blueprints, using precision measuring tools, and understanding materials and safety protocols. This path prepares them for a career in manufacturing and machining industries.

What are the key skills and qualifications needed to thrive as a machining apprentice, and why are they important?

To thrive as a Machining Apprentice, you need a basic understanding of mechanical principles, strong math skills, and a high school diploma or equivalent. Familiarity with CNC machines, manual lathes, milling equipment, and safety certifications like OSHA are typically required. Attention to detail, strong problem-solving skills, and a willingness to learn are essential soft skills that help apprentices excel. These skills and qualities are crucial for ensuring precision, safety, and continuous growth in a manufacturing environment.

What are some common challenges faced by machining apprentices during their training period?

Machining Apprentices often encounter challenges such as mastering the precision required for operating various machine tools and interpreting technical drawings accurately. Adjusting to the fast-paced shop environment and learning to troubleshoot minor machine issues can also be demanding. Additionally, apprentices may find it challenging to balance hands-on tasks with classroom learning, but support from experienced machinists and structured mentorship programs provide valuable guidance. Open communication and a willingness to ask questions can help overcome these hurdles and contribute to a successful apprenticeship.

What is the difference between Machining Apprentice vs Machinist?

AspectMachining ApprenticeMachinist
CredentialsOften requires a high school diploma or equivalent; may include technical school or apprenticeship programsTypically requires completion of an apprenticeship or technical training
Work EnvironmentTraining environment, supervised, learning on machinesFull-time manufacturing or workshop setting, operating machines independently
Employer & Industry UsageEntry-level, training role in manufacturing industriesSkilled worker role in metalworking and manufacturing
Search & Comparison IntentLearning about entry-level roles, training programsSeeking skilled machining work, career advancement

The main difference between a Machining Apprentice and a Machinist is that the apprentice is in a training phase, gaining skills under supervision, while the machinist is a skilled worker operating machines independently. Apprenticeship programs prepare individuals for a full machinist role, which requires experience and technical proficiency.

How to get into machining apprenticeship with no experience?

To start a machining apprenticeship with no experience, focus on developing basic math and technical skills, and consider completing a high school diploma or equivalent. Many programs accept applicants with a strong work ethic and willingness to learn; some may require passing an aptitude test or interview. Gaining familiarity with tools, safety procedures, and basic machining concepts can improve your chances of being accepted.

What cities near Canton, GA are hiring for Machining Apprentice jobs?

Cities near Canton, GA with the most Machining Apprentice job openings:

Machining Apprentice jobs near you
Infographic showing various Machining Apprentice job openings in Canton, GA as of August 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $39,610 per year, or $19 per hour.

Senior Data Engineer I - QuantumBlack, AI by McKinsey

McKinsey & Company

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Re-posted 23 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will be a technical owner, designing and leading the implementation of scalable data architectures for cutting-edge AI and agentic systems.
You will lead the development of robust data pipelines, manage secure and governed data environments, and mentor junior colleagues while collaborating with clients and cross-functional teams. You'll tackle impactful challenges and grow as a leader by architecting innovative AI solutions across diverse industries.
You will own and deliver technical workstreams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model management, observability, and automated retraining. You will also spearhead the design of complex feature engineering workstreams, ensuring our data assets are not only robust but also optimized for the next generation of AI models.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll lead the creation of innovative enterprise-grade machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale. You will be instrumental in shaping how we build and deploy high-impact AI systems, enabling clients to achieve meaningful, lasting impact through technical innovation.
You'll be based in one of our North American offices as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts, leading the data engineering workstream to deliver AI solutions. Collaborating with clients from data owners to C-level executives, you'll help design impactful solutions that address complex business challenges and build client capabilities.
You will grow as a technologist and a leader. You'll develop deep expertise at the intersection of technology strategy and business value by addressing diverse architectural challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of enterprise AI while collaborating with leading AI and data experts in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science/Engineering, or equivalent experience
  • 5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
  • Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
  • Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
  • Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
  • Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
  • Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
  • Exceptional time management and ability to own technical workstreams autonomously
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English and local office language(s)
  • Willingness to travel as required

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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