Machine Learning Developer

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Bristol
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL SparkSQL scikit-learn TensorFlow Azure Machine Learning Natural Language Processing LLM

FULL DESCRIPTION

Machine Learning Developer

[Employer hidden — sign up to reveal] is hiring a Machine Learning Developer to join the Data & AI team in Bristol (Hybrid). The role involves developing, deploying, and maintaining ML models using Python, SQL, and SparkSQL, applying LLMs and NLP techniques, and building cloud-based workflows on Azure. Requires a STEM degree and experience with ML libraries.

Role Responsibilities

  • Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards.
  • Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling.
  • Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight.
  • Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms.
  • Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Ensure high standards of code quality, documentation and maintainability across all solutions.

Required Qualifications

  • A STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background.
  • Proven experience using Python, SQL and SparkSQL in data or ML-focused roles.
  • Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‑learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas.
  • Knowledge of natural language processing techniques and API integration patterns for ML services.
  • Experience delivering projects end-to-end, from initial concept through to production deployment.
  • Ability to manage competing priorities, work independently and collaborate effectively with stakeholders.

Desirable Skills

  • Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms.
  • Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments.
  • Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.

Benefits

Pension, Life Assurance, Private Healthcare, Cycle to Work Scheme, Employee Shares Schemes, Salary Finance Options, Holiday.

Contact

For reasonable adjustments, email Sophie Willson at [Employer hidden — sign up to reveal].

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