Job Title: Machine Learning Engineer (SC Cleared - Outside IR35)

Location: [London - Hybrid]

Department: Data Science & AI

Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to developing, deploying, and managing AI-driven solutions, especially within the public sector. The ideal candidate will have experience working with Python and popular data science libraries, as well as a commitment to AI ethics, safety, and quality assurance. You will play a crucial role in applying machine learning models to real-world problems, ensuring that solutions are ethical, safe, and align with government quality standards.

Key Responsibilities:

• Model Development: Design, develop, and implement machine learning models using Python and libraries such as Pandas, SciKit-Learn, NumPy, Matplotlib, and Seaborn.

• Data Preparation and Analysis: Clean, preprocess, and explore datasets to extract meaningful insights and prepare data for model training and evaluation.

• AI Ethics & Safety: Ensure that AI models align with ethical and safety standards, with a focus on fairness, accountability, transparency, and mitigating bias.

• Model Validation and Quality Assurance: Implement robust quality assurance practices following the Aqua Book guidelines and leverage the Uncertainty Toolkit to handle, quantify, and communicate uncertainty in AI models.

• AI in the Public Sector: Develop machine learning models and AI systems tailored for public sector use, considering the unique requirements and compliance standards in government projects.

• Managing AI Projects: Collaborate with cross-functional teams and manage AI projects from conception through deployment, ensuring timely delivery and adherence to best practices.

• Monitoring and Maintenance: Continuously monitor and maintain machine learning models in production, ensuring they remain effective and compliant with evolving standards.

• Documentation and Reporting: Maintain thorough documentation of processes, assumptions, and model performance. Prepare reports for stakeholders that explain model behavior, limitations, and potential improvements.

Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or a related field.

Experience:

• 2+ years of experience as a Machine Learning Engineer, Data Scientist, or in a related role.

• Experience with Python programming in PyCharm IDE.

Technical Skills:

• Proficiency in Python and associated data science libraries: Pandas, SciKit-Learn, NumPy, Matplotlib, Seaborn.

• Strong understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.

• Experience with model evaluation and tuning, including handling uncertainty and quantifying model confidence levels.

Frameworks and Standards:

• Familiarity with AI Ethics & Safety standards, particularly in public sector applications.

• Knowledge of AI Intelligence in the Public Sector practices and challenges.

• Understanding of the Aqua Book guidelines for quality assurance in government projects.

• Experience with the Uncertainty Toolkit for Government is a plus.

Project Management:

Experience managing AI/ML projects, including scoping, development, validation, and deployment.

Communication:

Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Additional Skills:

• Experience with additional machine learning and deep learning frameworks, such as TensorFlow, PyTorch.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying machine learning models.

• Knowledge of public sector regulations and compliance standards related to data privacy, such as GDPR.

• Experience with agile methodologies and tools like Jira.