If you have a passion for innovation and leadership, this is the role you’ve been waiting for. Join a fast-growing Tech for Good Marketplace as their new ML Engineering Leader, where you’ll be at the forefront of AI-driven product development, building a skilled team, and driving the ML | Data Science | AI vision for the business.
What You'll Do:
* Develop and lead the ML Engineering | AI strategy as the company looks to drive a new period of experimentation & innovation with a personalised customer experience at the forefront of their plans.
* Lead and grow a team of ML engineers, fostering a culture of innovation and collaboration.
* Architect, develop, and deploy scalable ML models and pipelines.
* Optimize model performance, scalability, and efficiency for real-world applications.
* Oversee MLOps practices, ensuring CI/CD, monitoring, and model retraining strategies are in place.
* Collaborate with software engineers, product managers, and business teams to define ML-driven solutions.
* Stay up-to-date with advancements in ML, AI, and data engineering best practices.
* Drive best practices in model explainability, bias mitigation, and ethical AI principles.
What We’re Looking For:
* 5+ years of experience in ML engineering, with at least 2 years in a leadership role.
* Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
* Strong experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
* Experience gained in Tech for Good, eCommerce and/or Marketplaces is preferred.
* Expertise in ML lifecycle management, including data pipelines, feature engineering, and model serving.
* Knowledge of MLOps practices, including versioning, monitoring, and automation.
* Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus.
* Strong problem-solving skills and ability to translate business needs into ML solutions.
* Excellent communication and leadership skills.
Why Join?
Join a fast-growing, forward-thinking Tech for Good Marketplace that's not just pushing boundaries – it's setting new ones. Here, you'll have the opportunity to shape the future of the company, work with talented teams, and make a lasting impact on the company and industry.
Workplace Policy: 2 days per week in Manchester