Job Title: Uncleared Machine Learning Engineer - Remote
Organisation Overview:

Our Client is at the forefront of Intelligent Exploration and Enterprise AI with their cutting-edge AI Platform. Operating in a dynamic industry, they offer a work culture that fosters innovation, growth, and technical expertise. With opportunities for career advancement and technical leadership roles, it's an exciting place for skilled professionals to thrive.
Role Summary:

Our Client is seeking an Uncleared Machine Learning Engineer with the capability and readiness to work remotely. This role plays a crucial part in enhancing AI data applications by combining expertise in machine learning, data engineering, and software development. As part of the team, you will contribute to platform upgrades, develop dynamic dashboards, optimize data access patterns, and collaborate with key stakeholders to drive product enhancements.
Responsibilities:

Spearhead platform upgrades to ensure innovation and effectiveness.
Develop dynamic dashboards using the Virtualitics AI Platform Python SDK.
Optimize data access patterns to enhance AI solutions' efficiency.
Resolve runtime performance issues for application stability.
Architect scalable applications in alignment with current trends.
Collaborate with Technical Product Managers to drive usability enhancements.

Essential Skills & Experience:

Degree in Computer Science or related field OR 4+ years of software engineering experience.
Proficiency in Python and the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.).
Familiarity with big data technologies (Spark, Databricks, Snowflake) and frameworks.
Experience with Docker, Kubernetes, and Git.
Strong problem-solving skills and ownership mentality.
Excellent communication skills in English, both written and verbal.

Desirable Skills & Experience:

Prior experience in Machine Learning Engineering roles.
Familiarity with Predictive Maintenance, Cyber Analytics, and related areas.
Knowledge of task schedulers and web-app development stacks.

Call to Action:

If you are a skilled Machine Learning Engineer looking to work with cutting-edge AI technologies and contribute to innovative projects remotely, we encourage you to submit your CV to be considered for this exciting opportunity. Take the next step in your career with Our Client and be part of a team dedicated to shaping the future of AI applications. Apply now and unlock your potential.