Machine Learning Engineer - Freelance/Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a freelance Machine Learning Engineer position with a contract length of unspecified duration, offering a pay rate of up to $150/hour. Key skills required include proficiency in Python, TensorFlow, PyTorch, and experience with model deployment and data preprocessing.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
1200
🗓️ - Date discovered
May 9, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #MLflow #Datasets #Data Science #Docker #SageMaker #Project Management #Kubernetes #PyTorch #Scala #TensorFlow #Python #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #Computer Science #Model Evaluation #Libraries
Role description
• • • Please apply directly at: https://techamana.com/apply Note: This is a 100% remote position open to candidates located anywhere in the world. Join Techamana and become part of an exclusive network that connects the world’s best 5% of freelance experts in software development, design, product management, and project management with clients who demand excellence. We embody the values of “Amana” (trust, honesty, and loyalty) in every partnership. As a Machine Learning Engineer through Techamana, you'll develop and deploy machine learning models that solve complex problems. You'll work with data scientists to transform prototypes into production-ready systems that can scale. Responsibilities Build and deploy machine learning models into production environments Preprocess and perform feature engineering on large datasets Optimize model performance, scalability, and inference speed Integrate ML services with existing applications Monitor models for drift and automate retraining pipelines Write clean, maintainable, and efficient code Requirements Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and model evaluation Knowledge of deploying models in production (Docker, Kubernetes, SageMaker) Understanding of ML lifecycle tools (MLflow, Kubeflow) Familiarity with GPU acceleration and distributed training Bachelor's degree in Computer Science, Engineering or related field (or equivalent experience) Problem‑Solving & Communication Strong analytical skills and the ability to translate complex challenges into elegant solutions. Excellent communication skills, with experience collaborating across distributed, multidisciplinary teams. Benefits of Working at Techamana At Techamana, our people are our greatest asset. We offer a benefits package that supports both your professional growth and personal well‑being, including: Work with leading companies from around the world on challenging projects. Competitive compensation and flexible work arrangements Opportunities for continuous learning and professional development For the full list of benefits, visit https://techamana.com/talent-benefits, and for more about our process, see https://techamana.com/talent-faq. Compensation Hourly Rate: Up to $150/hour based on experience How to Apply Ready to join Techamana’s elite network and work on groundbreaking projects? Please apply directly at: https://techamana.com/apply Techamana is an equal opportunity employer committed to fostering an inclusive environment for all team members. Job Type: Contract Pay: £25.00-£150.00 per hour Schedule: 8 hour shift Work Location: Remote