Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in Stevenage, England, on a contract basis for 8-10 years of experience. Pay rate is unspecified. Key skills include Python, MLOps, and expertise in Generative AI technologies and LLMs.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 11, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Stevenage, England, United Kingdom
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🧠 - Skills detailed
#Big Data #Python #GIT #Kubernetes #Cloud #Databases #Version Control #TensorFlow #Deep Learning #ML (Machine Learning) #Hugging Face #"ETL (Extract #Transform #Load)" #Docker #Transformers #Azure #PyTorch #AI (Artificial Intelligence) #Langchain #Programming #AWS (Amazon Web Services) #Libraries #GCP (Google Cloud Platform)
Role description
Job Title - Generative AI Engineer Job Location - Stevenage, England, United Kingdom Experience - 8-10 years Job Type - Contract Work Mode - 3 days onsite Job Description - Experience: 5+ years of experience in Machine Learning Engineering, with a significant focus on building and deploying models in a production environment. Generative AI Expertise: Demonstrated, hands-on experience with Generative AI technologies and Large Language Models (LLMs). This includes proficiency in prompt engineering, fine-tuning, and architecting RAG pipelines. MLOps Proficiency: Strong experience with MLOps principles and tools. You should be comfortable with containerization (Docker), orchestration (Kubernetes), and cloud-native services (AWS, GCP, or Azure). Technical Skills: Programming Languages: Expert proficiency in Python. Frameworks: Strong experience with deep learning frameworks such as PyTorch or TensorFlow, and specialized libraries like Hugging Face Transformers, LangChain, or LlamaIndex. Data & Infrastructure: Experience with version control (Git), vector databases, and big data technologies.