Lead Machine Learning Engineer

2 hours ago

London, United KingdomStaff+

Responsibilities

Lead the implementation of data science projects and approaches that support commercial goals.
Lead research, development, and productionization of ML/AI services and products.
Build, lead, nurture, and retain a high-performing team of Machine Learning Engineers.
Collaborate with technology, product, and data teams to develop data platforms and embed data science into products and processes.
Help teams translate between business and data when designing projects and communicating recommendations and results.
Champion data science across the Kingfisher group and support development of a data-driven culture.
Lead efforts to develop the data science and customer analytics brand for internal and external audiences.

Proven experience delivering high-quality AI-based products and productionizing machine learning products.
Proven experience developing cloud-based machine learning services using one or more cloud providers, preferably GCP.
Strong understanding of classical machine learning algorithms, including Logistic Regression, Random Forest, and XGBoost, and deep learning algorithms such as BERT and LSTM.
Strong knowledge of SQL and Python's data analysis ecosystem, including Jupyter, Pandas, Scikit Learn, and Matplotlib.
Strong software development skills, with Python preferred.
Proven experience deploying ML/AI services using Kubernetes and Kubeflow.
Previous experience managing a team, along with strong management, leadership, influencing, communication, and stakeholder management skills.
Customer-focused approach and commitment to collaboration, innovation, experimentation, inclusion, and accountable delivery.

Flexible and agile working hours and locations with a blend of working from home and office-based work.
Inclusive working environment with support for diverse colleagues and applicants.
Competitive benefits package.
Opportunities to stretch, learn, and grow your career.

10,000+ employees