Machine Learning Engineer ( ML) - SC cleared

We are seeking an experienced Machine Learning Engineer for our client to support a Central Government programme focused on developing and deploying advanced data-driven solutions. The successful candidate will design, build, and deploy scalable machine learning models and data pipelines to support critical decision-making and operational capabilities.

Due to the nature of the work, active SC clearance is required.

Key Responsibilities

• 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.

Required Skills & Experience

• 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.

Personal Attributes

• 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.

Please send your CV in the first instance.