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Data & Analytics - Gen AI Engineers x 2
+ fully remote contract
+ initially 6 months
+ 500 to 530 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.
If you'd like to discuss this Gen AI Engineer role in more detail, please send your updated CV to (url removed) and I will get in touch.
