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The Citation Group

Machine Learning Engineer

The Citation Group
United Kingdom · Full-time · Mid-Senior

Company: The Citation Group

Position: Machine Learning Engineer

Location: Wilmslow / Remote

Type: Full-time – Permanent


We’re looking for a Machine Learning Engineer to help us deploy, maintain, and continuously improve our machine learning models in production. As part of the Data Science & AI team you'll be working primarily with Databricks and contributing to the robustness, scalability, and efficiency of our ML workflows. Beyond deployment, this role will give you the opportunity to explore emerging technologies, including Generative AI and agentic AI tools, and recommend new ways of doing things better, faster, and smarter. You’ll be part of a collaborative, forward-thinking team that values experimentation, autonomy, and clear impact.


Key Responsibilities

  • Design, deploy, monitor, and maintain machine learning models in production using Databricks.
  • Collaborate with data scientists, data engineers, and software developers to operationalise models.
  • Own and improve model lifecycle management including versioning, performance monitoring, and retraining strategies.
  • Write clear, maintainable code primarily in Python and SQL.
  • Contribute to our codebase and review others’ work using GitHub.
  • Evaluate new tools, frameworks, and processes to optimise ML infrastructure and workflows.
  • Test and experiment with emerging AI technologies, including Generative AI and agentic frameworks, and report on their potential business value.


Minimum Requirements

  • Experience deploying and maintaining ML models in production.
  • Solid hands-on experience with Python and SQL.
  • Practical knowledge of Databricks or similar platforms (e.g. SageMaker, Vertex AI, Azure ML).
  • Comfortable working with Git and GitHub-based workflows.
  • Strong problem-solving mindset and a proactive approach to automation and scaling.
  • Ability to communicate clearly and collaborate across cross-functional teams.


Nice to Have

  • Familiarity with MLOps tools such as MLflow, DVC, Airflow, or Kubeflow.
  • Experience working with large language models or other Generative AI tools.
  • Exposure to agentic AI concepts and implementations.
  • Knowledge of cloud infrastructure (AWS, GCP, or Azure).
  • Experience with CI/CD for ML pipelines.
  • Experience with PySpark.


About Us:


We are Citation. Our colleagues bring their brilliant selves to work every day, and we create an environment where they can shine. We don’t do office politics or "that’s not my job." We listen, support, and take ownership.


For over 20 years, we have been proudly delivering valuable HR and Health and Safety services to SME’s across the UK. We are passionate about service and on a mission to revolutionise our colleague’s and client’s experience by employing brilliant people who are experts at what they do and smile while they are doing it.


Working for Citation, you will have access to 25 days of holiday, plus your birthday off work, gym membership discount, healthcare, childcare vouchers, the opportunity to purchase extra leave, pension contributions, and more.


It’s a great place to work because of the people we employ. Fun and professional, we want likeminded individuals who love their job and want the Company to succeed. If our culture sounds like a good fit for you and you want to be part of our success story, then send us your details.

Key Skills

Ranked by relevance

ai machine learning python ai tools mlflow cloud mlops cicd git aws gcp
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Posted
Aug 06, 2025
Type
Full-time
Level
Mid-Senior
Location
Wilmslow

Industries

Legal Services

Categories

Other

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