Machine Learning Engineer ( ML) - SC cleared

• Design, develop, and deploy machine learning models to solve complex analytical problems.
• Build and maintain scalable ML pipelines for data ingestion, training, testing, and deployment.
• Work closely with data scientists, data engineers, and technical stakeholders to translate business requirements into ML solutions.
• Optimise model performance and ensure models are robust, secure, and production-ready.
• Implement MLOps practices including CI/CD for machine learning workflows.
• Ensure solutions meet government security, governance, and compliance standards.
• Document technical solutions and contribute to knowledge sharing within the team.
• Support continuous improvement of data science and ML capabilities across the programme.

• Active SC clearance (or eligibility to obtain).
• Proven experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong programming skills in Python (eg Pandas, NumPy, Scikit-learn).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience building and deploying models in production environments.
• Knowledge of data engineering concepts and working with large datasets.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with MLOps tools (eg MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines).
• Strong problem-solving and analytical skills.

Desirable Experience

• Experience working on UK Government or Public Sector projects.
• Experience with NLP, predictive modelling, or AI applications.
• Knowledge of data governance and security standards within government environments.
• Experience with big data tools such as Spark or Databricks., * Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Collaborative mindset and ability to work in multi-disciplinary teams.
• Ability to operate in secure, regulated environments.
• Proactive and solutions-focused approach.