Lead Machine Learning Engineer

hackajob

London, England, United Kingdom

London, England, United Kingdom

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À propos

Overview hackajob is collaborating with Kingfisher to connect them with exceptional tech professionals for this role. We’re Kingfisher, a team of over 74,000 people across brands including B&Q, Screwfix, Brico Depot, Castorama and Koctas. Our ambition is to become the leading home improvement company and to grow the largest community of home improvers in the world. We are committed to equal treatment for all colleagues, future colleagues, and applicants regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious or philosophical beliefs, political opinion, disability, gender identity or sexual orientation. We support flexible and agile working hours and locations, blending working from home and office time. Talk to us about how we can best support you.
We are looking for a Lead Machine Learning Engineer to join our Data Science team, leading the research and development process of ML/AI services in the Group Data Science team. You will lead the development of data science algorithms while building, leading, nurturing, and retaining a high-performing data science team working on banner as well as group priorities.
Responsibilities
Lead the implementation of data science projects and data science approaches to support commercial goals
Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working
Collaborate with tech, product and data teams to develop the data platforms that enable applying data science and embedding data-informed decision making
Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results
Be a champion and role model for the application of data science across the Kingfisher group
Support the data leadership team in developing a “data culture” and demonstrating the value of data in decision making
Lead efforts to develop the data science and broader customer analytics brand at Kingfisher for internal and external audiences
Proven experience delivering high-quality AI-based products and productionising ML-based products
Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)
Excellent understanding of classical ML algorithms (e.g., Logistic Regression, Random Forest, XGBoost) and modern Deep Learning algorithms (e.g., BERT, LSTM)
Strong knowledge of SQL and Python ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib)
Strong software development skills with Python as the preferred language
Proven experience deploying ML/AI services using Kubernetes and Kubeflow
Strong management and leadership skills – previous experience managing a team
Strong influencing, communication and stakeholder management skills
Be Customer Focused Be customer focused – constantly improving our customers’ experience. We listen to our customers and colleagues, and innovate products and experiences to stay ahead. We are committed to putting customers first.
Be Human Be Human – leading with purpose, humanity and care. We do the right thing, invest in our people and build great teams.
Be Curious Be Curious – thrive on learning, thinking beyond the obvious. We focus externally, globally and build the long term. We experiment and share our learnings.
Be Agile Be Agile – building trust and empowering people to work with agility. We act with pace, not perfection, role modelling 80/20. We take risks, fail fast and adapt quickly.
Be Inclusive Be Inclusive – inspiring diverse teams to achieve together. We celebrate difference as a strength and collaborate, breaking down silos.
Be Accountable Be Accountable – owning the plan, delivering results and growth. We focus on performance outcomes, prioritise and simplify for others.
At Kingfisher, we value the perspectives that any new team members bring, and we encourage you to apply even if you do not meet 100% of the requirements. We offer an inclusive environment with opportunities to stretch and grow your career, along with a competitive benefits package.
Interested? Apply now and help us to Power the Possible.
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London, England, United Kingdom

Compétences linguistiques

English

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