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CBSbutler Holdings Limited trading as CBSbutler
Data & Analytics - Gen AI Engineers x 2
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This role has expired
CBSbutler Holdings Limited trading as CBSbutler
Data & Analytics - Gen AI Engineers x 2
£500
/day -
£525
/day
Multiple locations
Fully remote
Graduate
Junior
Mid
Senior
Leader
Description
fully remote contract
initially 6 months
500 to 525 per day - Inside IR35
Key Skills:
Design of Gen AI Models
RAG
AI/ML Pipelines
The Role:
Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.
Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).
Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance.
Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.
Collaborate with architects to define scalable and secure AI service architectures.
Required Experience/Skills:
Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).
Manage model evaluation, drift monitoring, and continuous improvement processes.
Optimize inference performance and cost (e.g., model compression, quantization, API optimization).
Ensure compliance with AI ethics, security, and governance standards.
Prepare and curate training datasets (structured/unstructured text, images, code).
Apply data preprocessing, tokenization, and embedding generation techniques.
Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.
Partner with business stakeholders to identify and shape AI use cases.
Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components.
Support POCs, pilots, and full-scale implementations with agile delivery.
Role tech stack
Python
Node.js
Java
MLflow
CBSbutler Holdings Limited trading as CBSbutler
Data & Analytics - Gen AI Engineers x 2
£500
/day -
£525
/day
This role has expired
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