Data & Analytics - Gen AI Engineers x 2

CBSbutler Ltd.; Farnborough; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading technology consulting firm is seeking 2 Gen AI Engineers for a fully remote role. You will design, prototype, and deploy Generative AI models for enterprise applications, optimize AI/ML pipelines, and ensure compliance with AI standards. Ideal candidates will have expertise in AI model integration, experience with tools like MLflow and Azure ML, and strong collaboration skills with architects and stakeholders.

Qualifications

• Experience in implementing AI/ML pipelines for model training, validation, and deployment.
• Ability to manage model evaluation, drift monitoring, and continuous improvement.
• Experience optimizing inference performance and costs.
• Familiarity with AI ethics, security, and governance standards.
• Skills in preparing and curating training datasets including structured/unstructured text, images, and code.
• Knowledge of data preprocessing, tokenization, and embedding generation techniques.

Responsibilities

• Design, prototype, and deploy Generative AI models for enterprise use cases.
• Build and fine-tune LLM-based applications like chatbots and document Q&A.
• Apply prompt engineering to ensure accuracy and relevance.
• Integrate AI models with systems, APIs, and data stores.
• Collaborate with architects to define scalable AI service architectures.

Skills

Design of Gen AI Models

RAG

AI/ML Pipelines

Tools

MLflow

Vertex AI

Azure ML

Python

Java

Node.js

Pinecone

Weaviate

FAISS

Chroma

Job description

Data & Analytics - Gen AI Engineers x 2

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.