Crossing Hurdles

Applied AI Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied AI Engineer on a contractual basis, offering 10-40 hrs/week remotely. Key skills include Python, machine learning frameworks, JSON, and API integration. Strong communication skills and ability to translate business needs into AI solutions are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#JSON (JavaScript Object Notation) #Libraries #AI (Artificial Intelligence) #Data Analysis #Python #API (Application Programming Interface) #ML (Machine Learning) #Automation #Scala #Datasets #Data Pipeline
Role description
Position: Applied AI Engineer Type: Contractual Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Design, develop, and implement machine learning models to address various business challenges. • Collaborate with cross-functional teams to identify and explore opportunities for AI integration and innovation. • Preprocess, analyze, and interpret complex datasets using Python and relevant data tools. • Develop APIs and data pipelines to ensure seamless integration and operationalization of models. • Optimize machine learning models for performance, scalability, and robustness in production environments. • Document methodologies, results, and workflows clearly and concisely for future reference. Requirements • Have strong proficiency in Python for data analysis, modeling, and automation. • Possess extensive hands-on experience with machine learning frameworks and libraries. • Have expertise in working with JSON data structures and API integrations. • Be able to translate business requirements into deployable AI solutions. • Demonstrate excellent written and verbal communication skills, showcasing a commitment to clarity and collaboration. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage