AI Engineer

Remote

350 - 400 per day PAYE

Contract

We are currently looking for an experienced and skilled, AI Engineer to work fully remote, on behalf of a local authority in the Kingston upon Thames area.

The Role:

• Identifying use cases for GenerativeAI
• Collection and processing of data to be used as input into GenAI models - Integrating council 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

The Candidate:

• 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

How to Apply:

If you are interested in our AI Engineer role, Please submit your application via the contact details provided and you will be contacted with further information about this opportunity or email your CV to me directly; or call me on; 0161