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Machine Learning Engineer Python Jobs in Lancaster, SC

LPL Financial

Analyst - Advanced Analytics

Fort Mill, SC · On-site +1

$69.73K - $116.18K/yr

Build and collaborate on working prototypes of machine learning/AI solutions * Conduct ad-hoc ... programming or scripting languages (e.g. Python, R) * 2+ years of experience working with ...

Pantar Solutions

Data Engineer

Weddington, NC · On-site

$107K - $128.50K/yr

# Data Engineer Job Duties: Design and implement efficient large-scale data solutions in areas data ... Machine Learning techniques in a production grade environment. Design and develop UNIX shell ...

Saxon Global

Senior .NET Developer

Fort Mill, SC · On-site

$110/hr

... Machine Learning/predictive analysis (preferred) Mulesoft, Informatica, Microsoft SQL Server ... programming Use of design patterns, such as SOA, Provider and Model View Controller, etc.

EPAM Systems Inc

Lead DevOps Engineer

Fort Mill, SC

$46.25 - $63.50/hr

Strong scripting skills (Bash, PowerShell, Python) * Experience with monitoring tools (Prometheus ... Unlimited access to LinkedIn learning solutions * Matched 401(k) Retirement Savings Plan * Paid ...

Silfab Solar

Manufacturing Engineer

Fort Mill, SC · On-site

$64.10K - $82.60K/yr

... for learning and professional growth. We offer competitive pay, generous benefits, and ... Support the quotation of machinery or equipment required for the processes. * Identify and ...

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Machine Learning Engineer Python information

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$19.6K

$119.4K

$172.7K

How much do machine learning engineer python jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning engineer python in Lancaster, SC is $119,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $140,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What job categories do people searching Machine Learning Engineer Python jobs in Lancaster, SC look for? The top searched job categories for Machine Learning Engineer Python jobs in Lancaster, SC are:
What cities near Lancaster, SC are hiring for Machine Learning Engineer Python jobs? Cities near Lancaster, SC with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Analyst - Advanced Analytics

Analyst - Advanced Analytics

LPL Financial

Fort Mill, SC • On-site, Remote

$69.73K - $116.18K/yr

Full-time

Medical, Retirement, PTO

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

LPL Financial rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview:

As an Analyst on the WealthAG Analytics team, you'll help support a call center-based advisory business that delivers investment guidance to clients. You'll work with data to track how advisors are performing, assist in building reports, and help uncover insights that support better decision-making. Along the way, you'll gain exposure to key business concepts like operations, client engagement, and profitability, while learning how analytics directly impacts business outcomes.

In this role, you'll develop core skills in data analysis, reporting, and visualization, while also building your ability to communicate insights clearly to different audiences. You'll collaborate with teammates across functions, contribute to improving processes, and help make data more accessible and actionable. This is a strong opportunity for someone early in their career who is curious, detail-oriented, and eager to learn-offering hands-on experience, mentorship, and the chance to grow alongside an evolving business.

Responsibilities:

  • Leverage data from various sources to identify, create and validate impactful alerts and signals for our financial advisors/clients

  • Collaborate with business users as well as technology partners to build the most impactful and feasible solutions possible

  • Partner with various Data & Analytics functions, such as Advanced Analytics, Data Strategy, and Digital Analytics to ensure consistent frameworks and receives feedback on products

  • Develop an understanding of how data and machine learning can impact financial advisors' practices

  • Build and collaborate on working prototypes of machine learning/AI solutions

  • Conduct ad-hoc analyses as appropriate to support priority business projects; respond in a timely manner to ad hoc questions from executives

  • Please note: Additional responsibilities or duties may be assigned to you as needed or determined

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

  • Bachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related discipline

  • 2+ years of related work experience in an advanced analytics or data science role supporting sales, finance, marketing, or operations

  • 2+ years of experience with a programming or scripting languages (e.g. Python, R)

  • 2+ years of experience working with relational databases (e.g., SQL Server, Oracle, Snowflake), distributed technologies (e.g., Hadoop, Spark) and cloud-based platforms (e.g., AWS, Azure)

Preferences:

  • Some experience with building and working with machine learning models preferred

  • Exceptional problem-solving skills that enable efficient identification of issues, development of hypotheses, and the execution of robust quantitative analyses to answer business questions

#LPL-PA


Pay Range:

$69,731.00 - $116,184.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

For further information about LPL, please visit www.lpl.com.

Join LPL Financial: Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

Why LPL?

  • Innovative Environment:We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!

  • Limitless Career Potential:Your career at LPL has no limits, only amazing potential. Learn more about our careers here!

  • Unified Mission:We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!

  • Impactful Work:Our size is just right for you to make a real impact. Learn more here!

  • Commitment to Equality:We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!

  • Community Focus:We care for our communities and encourage our employees to do the same. Learn more here!

  • Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!

Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.

Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at(855) 575-6947.

EAC12.9.25

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