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