Turnberry Solutions

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with an 8+ month contract, located in Philadelphia (hybrid). Key skills include Python, SQL, machine learning frameworks, and experience with Docker. Salary ranges from $135,000 to $195,000.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
886
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🗓️ - Date
April 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#Data Pipeline #Deployment #ML (Machine Learning) #Strategy #Scala #Docker #Libraries #SQL (Structured Query Language) #Spark (Apache Spark) #Deep Learning #"ETL (Extract #Transform #Load)" #Programming #Python #Mathematics #Data Modeling #Statistics #PySpark
Role description
Duration: 8+ Months Location: PA-Philadelphia, Hybrid 3-4 days onsite Overview: Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Machine Learning Engineer, you will join Turnberry's Digital Modernization practice, where technology and strategy combine to deliver exceptional digital experiences, empowering organizations to thrive in today's digital market. Responsibilities • Model Development • Design, build, and train machine learning and deep learning models for real-world applications • Data Pipeline Construction • Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion • Evaluation and Optimization • Run experiments, analyze performance metrics (e.g., accuracy, recall, AUC), and optimize models for performance, speed, and scalability Qualifications • Programming • Strong proficiency in Python (including PySpark) with solid understanding of software architecture principles • ML Frameworks • Hands-on experience with machine learning libraries such as Scikit-learn • Mathematics • Strong foundation in statistics, probability, and algorithm design • Data Handling • Experience with SQL, data modeling, and building data pipelines Preferred Qualifications • Production Deployment (MLOps) • Experience deploying models using tools like Docker • LLM Experience • Familiarity with deploying and working with local large language models (LLMs) The salary range for this role is $135,000 to $195,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives. At Turnberry, we are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. Americans With Disabilities Act (ADA) Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at turnberryhr@turnberrysolutions.com.