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Open nowFirst seen 14 hours ago

Data Scientist

George Bernard Consulting185 open roles

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Your applicationOpen nowData ScientistGeorge Bernard Consulting

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 14 hours ago

The posting

  • Design, build and deploy scalable and robust production-ready solutionswith large language models (LLMs) for automation and advanced AI applications. Such solutions can be APIs and web-based applications (typically containerised applications), to integrate models into business workflows.
  • Implement and manage LLMOps/MLOps workflows to ensure reliable deployment, monitoring, and lifecycle management of large language models.
  • This includes setting up automated pipelines for model versioning, performance tracking, drift detection, and continuous evaluation against business KPIs, while integrating observability tools for real-time health checks and compliance.
  • Develop and maintain data pipelines and CI/CD/CT workflows for model training, evaluation, and real-time inference.
  • Analyse structured and unstructured data to extract meaningful insights and support strategic decision-making for business
  • Collaborate closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to deliver end-to-end solutions.
  • Communicate findings and recommendations through clear reports, dashboards, and presentations.
  • Work seamlessly with UK-based teams, ensuring clear communication and alignment across time zones.

Requirements

  • Strong programming skills in Python (including best practices for clean, maintainable code); familiarity with web frameworks (e.g., Flask, FastAPI, or Django).
  • Proficiency in containerisation and orchestration tools
  • Familiarity with LLM fine-tuning, prompt engineering, agentic frameworks and solution deployment using modern framework (e.g., LangGraph, LangChain)
  • Expertise in data processing and transformation using Pandas, NumPy, and SQL (ideally PySpark).
  • Ability to translate business problems into scalable, production-grade solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in an off-shore setting and maintain strong relationships with UK- based teams.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.
  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
  • 3+ years of experience in software engineering, data science, machine learning,vor AI engineering.
  • Hands-on experience in developing and deploying GenAI / LLM applications in production environments, including containerisation and CI/CD pipelines.
  • Exposure to cloud platforms (ideally Azure and Databricks)
  • (Bonus) Experience working with large-scale datasets and distributed computing (Spark or similar).
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