

AI Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Developer on a 6-month contract, offering competitive pay. It requires solid experience in AI/ML, Vertex AI, GCP, and Python programming. Familiarity with LangChain and conversational agent design is advantageous. Remote work based in the UK.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
June 27, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United Kingdom
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π§ - Skills detailed
#GCP (Google Cloud Platform) #Indexing #Security #Data Engineering #Cloud #ML (Machine Learning) #Langchain #Programming #AI (Artificial Intelligence) #Python #Docker #Scala #Datasets #Deployment #Monitoring #BigQuery
Role description
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AI Developer β Contract (LLM / Vertex AI / GCP)
Location: Remote UK
Type: Contract
Length: 6 months
Rate: Competitive, based on experience
Overview
Weβre hiring an experienced AI Developer to help build and deploy natural language agents capable of interpreting and querying large datasets through conversational interfaces. The project is hosted on Google Cloud Platform (GCP), with Vertex AI at its core, and supports over 25,000 queries per day. Youβll play a key technical role in developing production-grade, scalable AI solutions.
What Youβll Be Doing
β’ Building and deploying AI agents that respond to natural language queries
β’ Developing and integrating with Vertex AI for LLM training, tuning, and deployment
β’ Writing clean, production-level Python code to support ML workflows and APIs
β’ Working with retrieval and indexing tools (e.g. vector stores, embeddings, RAG)
β’ Integrating solutions with GCP data services like BigQuery or Firestore
β’ Ensuring code is robust, scalable, and security-compliant
Must-Have Skills
β’ Solid experience as an AI/ML Developer or LLM Engineer
β’ Strong practical knowledge of Vertex AI and GCP
β’ Experience deploying or fine-tuning large language models (LLMs)
β’ Python programming skills with focus on ML/data engineering
β’ Familiarity with LangChain, prompt engineering, or semantic search methods
Nice to Have
β’ Experience with MLOps tooling (CI/CD, Docker, model monitoring)
β’ Familiarity with conversational agent design or chat system integration
β’ Exposure to agent frameworks like LangGraph or AutoGen
If you are interested please apply! Or if you want a conversation to find out more, please reach out to Jack Salkeld.