AI Engineer

Location

Sutton, Greater London | United Kingdom

Job description

3 months contract with local authorities

Job Summary (Sample):

· 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

Key Duties (Sample):

· Build several PoCs using GenerativeAI

· Deploy at least one GenerativeAI application that can be used by council staff

· Develop documentation, guidance and standards for deploying GenAI applications, including around

· MLOps / LLMOps

Essential Experience Required:

·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 usingtechniques such as Retrieval Augmented Generation (RAG) and fine tuning, usinglibraries 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

Additional information to note:

· This position is located in Sutton, SM1 1EA

This position is fully remote

The closing date for this position is Friday 15/03/2024 at 11:00 am.

Job tags

Salary