Job summary

Our client, a leading public sector organization, is seeking an experienced AI Engineer to join their team on a contract basis.

Key skills required for this role

AI Engineer, machine learning,

Important

AI Engineer

Job description

AI Engineer

3 months contract

Remote working or office if preferred

Outside IR35

Our client, a leading public sector organization, is seeking an experienced AI Engineer to join their team on a contract basis. As an AI Engineer, you will play a crucial role in developing and implementing cutting-edge AI and machine learning solutions.

Responsibilities

The AI Engineer will be responsible for:

• - Identifying use cases for GenerativeAI
• - Collection and processing of data to be used as input
• into GenAI models
• - Integrating data into pre-trained models using
• techniques such as Retrieval Augmented Generation
• (RAG) and fine tuning
• - Working with vector databases and vector
• embeddings
• - Model deployment, serving and ongoing monitoring
• (MLOps / LLMOps)
• - Building web applications and user interfaces to allow
• users to interact with models
• - Researching existing solutions in the market
• - Developing guidance and standards for deploying AI
• applications
• - Coaching and upskilling colleagues, and wider staff,
• in Generative AI and software engineering

Skills & Experience

Essential:

• 5+ years professional experience in software engineering / data engineering / machine learning engineering or a similar role
• Proficient in Python
• Knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs)
• Knowledge of how to integrate data into pre-trained Generative AI models using techniques such as Retrieval Augmented Generation (RAG) and fine tuning, using libraries such as Langchain, LlamaIndex and Hugging Face, or cloud based tools such as AWS Bedrock or Google Vertex AI
• Knowledge and experience of Natural Language Processing (NLP) techniques such as text embeddings, and an understanding of how different data representations can affect model performance
• Experience of working with vector databases e.g. Pinecone
• Experience of building and deploying web applications using cloud technologies
• Knowledge of modern software engineering best practices e.g. test-driven development, CI / CD, containerisation
• Knowledge of MLOps / LLMOps, including model deployment, serving and monitoring
• Experience of working in an Agile environment
• Comfortable leading work autonomously and dealing with ambiguity
• Good communication and stakeholder management skills and the ability to wear a range of different hats if needed

If you have a passion for AI, machine learning, and cutting-edge technologies, and you're ready to make a significant impact, then we want to hear from you. Apply now!