Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer on a contract basis, offering a competitive pay rate. Candidates should have 5+ years in software engineering and AI/ML, strong Python skills, and experience with LLMs and cloud deployment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Langchain #Hugging Face #Data Science #Computer Science #Scala #ML (Machine Learning) #AI (Artificial Intelligence) #Cloud #MLflow #Python
Role description
Key Responsibilities
• Collaborate with engineering, data science, and AI teams to design scalable AI-powered capabilities.
• Deploy and optimize LLM-based applications in production.
• Evaluate AI models through rigorous testing and continuous improvement.
• Integrate AI into production systems ensuring scalability, robustness, and efficiency.
• Stay current with AI and ML advancements; propose enhancements.
• Own design, implementation, and maintenance of production retrieval and agentic systems.
• Implement robust CI/CD and testing practices for AI systems.
• Translate business needs into innovative AI solutions.
Requirements
Experience:
• Education: Bachelor’s in Computer Science, Engineering, Math, or equivalent.
• 5+ years in software engineering and AI/ML development.
• Strong Python coding skills.
• Expertise in ML algorithms, model development, and lifecycle tools (MLflow, DVC, Weights & Biases).
• Experience deploying ML systems in the cloud.
• Professional experience with LLMs and large-scale models.
• Proven track record building scalable, distributed ML systems.
Skills:
• Systems design, strong software engineering fundamentals.
• Strong analytical/problem-solving and communication skills.
• Ability to work independently and in teams.
Preferred
• Experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face).
• Knowledge of RAG (Retrieval-Augmented Generation) and improvements.
Key Responsibilities
• Collaborate with engineering, data science, and AI teams to design scalable AI-powered capabilities.
• Deploy and optimize LLM-based applications in production.
• Evaluate AI models through rigorous testing and continuous improvement.
• Integrate AI into production systems ensuring scalability, robustness, and efficiency.
• Stay current with AI and ML advancements; propose enhancements.
• Own design, implementation, and maintenance of production retrieval and agentic systems.
• Implement robust CI/CD and testing practices for AI systems.
• Translate business needs into innovative AI solutions.
Requirements
Experience:
• Education: Bachelor’s in Computer Science, Engineering, Math, or equivalent.
• 5+ years in software engineering and AI/ML development.
• Strong Python coding skills.
• Expertise in ML algorithms, model development, and lifecycle tools (MLflow, DVC, Weights & Biases).
• Experience deploying ML systems in the cloud.
• Professional experience with LLMs and large-scale models.
• Proven track record building scalable, distributed ML systems.
Skills:
• Systems design, strong software engineering fundamentals.
• Strong analytical/problem-solving and communication skills.
• Ability to work independently and in teams.
Preferred
• Experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face).
• Knowledge of RAG (Retrieval-Augmented Generation) and improvements.
