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PH6421-Full Stack Developer (with Data Engineering & LLM Training Experience)

Pixehub Limited
City of London
1 week ago
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PH6421- Full Stack Developer (with Data Engineering & LLM Training Experience)

We are looking for a highly skilled Full Stack Developer with a strong Data Engineering background to help us build and maintain scalable applications, data pipelines, and machine learning workflows. The ideal candidate will have hands‑on experience in developing end‑to‑end systems using AWS, React, Java Spring Boot, and Python, and will play a key role in extracting, processing, and preparing local data for LLM (Large Language Model) training and fine‑tuning.


Responsibilities

  • Build and manage data ingestion and transformation pipelines from multiple sources (databases, APIs, logs, internal systems).
  • Prepare, clean, and structure domain‑specific data for training and fine‑tuning LLMs.
  • Develop and manage ETL workflows and data pipelines on AWS (Glue, Lambda, S3, Redshift, etc.).
  • Collaborate with ML engineers to deploy and monitor model training pipelines and evaluate data quality.
  • Implement data versioning, storage optimization, and access control for local data.
  • Build APIs and dashboards to visualize processed data and model results.
  • Ensure code quality, scalability, and security across the stack.
  • Contribute to architecture discussions and drive best practices in software and data engineering.

Requirements

  • 3+ years of experience as a Data Application Developer or Data scientist.
    Prior work in Renewable Energy, IoT, or industrial data systems (a strong plus).
  • Basic Knowledge in React.js, Java (Spring Boot), and Python ( nice to have, but not mandatory)
  • Experience with AWS cloud services (S3, Lambda, Glue, Redshift, EC2, CloudWatch).
  • Hands‑on experience with data extraction, transformation, and loading (ETL).
  • Understanding of data formats and preprocessing for NLP/LLMs (JSON, CSV, text, embeddings).
  • Proficiency with REST APIs, microservices, and distributed systems.
  • Familiarity with version control (Git), CI/CD pipelines, and Agile methodologies.
  • Excellent problem‑solving skills and the ability to work cross‑functionally.

Nice to Have

  • Experience fine‑tuning or training LLMs (e.g., using Hugging Face, LangChain, or OpenAI APIs).
  • Knowledge of vector databases (Pinecone, Weaviate, FAISS, or ChromaDB).
  • Familiarity with data lake and warehouse architectures.
  • Experience with Docker/Kubernetes for containerized deployments.
  • Exposure to MLOps frameworks and data governance principles.
    Masters Degree in Data Science or equivalent

What We Offer

  • Competitive salary and benefits up to £55,000 depending on experience.
  • Cutting‑edge projects in AI and cloud computing.
  • Hybrid/remote work flexibility ( must be flexible to attend meetings in person at a short notice)
  • A culture of innovation and continuous learning.
  • Career growth opportunities in emerging tech areas (AI, IoT, Cloud).


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