Machine Learning Engineer Managerhackajob • London, England, United Kingdom
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Machine Learning Engineer Manager
hackajob
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Function/Team: Group AI, Reporting Line: Group AI Director
Key Accountabilities / Responsibilities
Lead the management of Artificial Intelligence projects – trailblazing the development of Machine Learning solutions across the Kingfisher Group.
Lead multiple teams across a board range of business domains to deliver end‑to‑end Machine Learning solutions for the комуульн.
Develop and manage highly proficient Machine Learning team leads who in turn manage domain specific projects.
Curate diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results.
Enable and encourage cross‑team collaboration and knowledge sharing to optimise team efficiency across AI.
Collaborate with tech, product and data teams to develop data platforms that allow us to apply AI and embed Machine Learning directly in our products and processes.
Be a champion and role model for the application of Machine Learning across the Kingfisher Group.
Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making.
Lead efforts to develop the Group AI (and broader customer analytics) brand at Kingfisher for both internal and external audiences.
Required Skills & Experience
Strong management and leadership skills – including ability to build, organise, motivate, mentor and manage a Machine Learning team that supports a diverse range of initiatives.
Sensitivity and excellent influencing skills – the ability to work with stakeholders across a variety of functions and levels of seniority and to decipher hidden user needs.
Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software Jóngi написать архитектуры.
Good understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.).
Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).
Experience working on modern Generative AI/Agentic workflows using frameworks such as LangChain/LangGraph and Agent Development Kit (ADK).
Strong understanding of a Machine Learning development workflow.
Proven experience of delivering several high‑quality AI‑based products.
Proven experience of developing cloud‑based machine learning services using one or more cloud providers (preferably GCP).
Strong software development skills – Python is the preferred language.
Proficient in building CI/CD pipelines using different tools e.g. Gitlab, Jenkins, Cloud Build.
Experienced in building data pipelines using GCP DataFlow.
Provand experience in deploying ML/AI services using Kubernetes & KubeFlow.
Ability to work on multiple projects and manage deliverables.
Solid communications and soft skills to manage stakeholder demands.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology; Industry: Software Development
Location: London, England, United Kingdom
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Compétences linguistiques
- English
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