Vallum Associates

Artificial Intelligence Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Artificial Intelligence Lead" on a 3-month rolling contract, largely remote, outside IR35. Key skills include LLM solutions, Python, SQL, and AWS. Experience in deploying AI in production and managing PII data is essential.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
November 19, 2025
πŸ•’ - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
Outside IR35
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Monitoring #Quality Assurance #Scala #AI (Artificial Intelligence) #Airflow #dbt (data build tool) #AWS (Amazon Web Services) #API (Application Programming Interface) #Snowflake #SQL (Structured Query Language) #Deployment #Security #Data Security #Strategy #Langchain #Python
Role description
Artificial Intelligence / LLM Solutions Lead – Energy Company - Contract role The AI / LLM Solutions Lead will design, build, and operationalise AI capabilities within a major energy company’s Data team. The role focuses on delivering an LLM-based Sales Call Quality Assurance (QA) solution, creating a repeatable AI architecture, and uplifting team capability. β€’ Contract role - 3 months rolling β€’ Largely remote β€’ Outside IR35 Key Responsibilities β€’ Evaluate LLM model options and recommend a preferred approach. β€’ Tune models and optimise prompts to improve accuracy. β€’ Implement continuous monitoring for performance, drift, and cost, with alerting integrated into existing tools. β€’ Lead deployment and integration of models into production. β€’ Design a scalable, repeatable architecture for multiple AI use cases. β€’ Ensure the design supports the Sales QA solution, minimises technical debt, and adapts to future needs. β€’ Provide model-strategy recommendations (e.g., one large model vs multiple smaller models with triage). β€’ Bring external best practices into the Data AI function. β€’ Enable team members to replicate the development approach for future LLM use cases. Must have experience in the following: β€’ Hands-on experience building and deploying LLM or generative AI solutions in production. β€’ Strong understanding of model selection, fine-tuning, prompt engineering, and evaluation methods. β€’ Python, SQL, dbt, Airflow β€’ Understand how to frame prompts, evaluate outputs of LLMs, manage prompts with LangChain β€’ Platforms: Snowflake Cortex, AWS Bedrock β€’ Evaluate costs / performance advantages of models on Bedrock vs Snowflake, the size of the model, fine-tune smaller models β€’ Create logic for summarising calls transcripts, validate QA checklist β€’ Build evaluation framework β€’ Integrate LLM API to process text at scale via Snowflake Cortex or AWS Bedrock β€’ Build APIs on AWS to connect to other systems (slack, excel, kraken) β€’ Implement data security and governance practices to work with PII data If this sounds like an opportunity you are interested in, apply now for an immediate review!