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- Tasks: Lead the development of innovative ML/AI services and nurture a high-performing data science team.
- Company: Join Kingfisher, a leading home improvement company with a diverse and inclusive culture.
- Benefits: Flexible working hours, competitive salary, and opportunities for career growth.
- Why this job: Make a real impact in a dynamic environment while championing data-driven decision making.
- Qualifications: Experience in AI products, cloud-based ML services, and strong leadership skills.
- Other info: Embrace a culture of curiosity, agility, and inclusivity while driving innovation.
The predicted salary is between 48000 - 72000 £ per year.
hackajob is collaborating with Kingfisher to connect them with exceptional tech professionals for this role. 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.
Lead Machine Learning Engineer in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Mock interviews can be super helpful. Get a friend to quiz you or use online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Kingfisher team. Let’s get you that dream job!
We think you need these skills to ace Lead Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Machine Learning Engineer role. Highlight your experience with ML algorithms, cloud services, and team leadership. We want to see how your skills align with our goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to Kingfisher's mission. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Team Spirit: Since we value collaboration, don’t forget to mention your experience in leading and nurturing teams. Talk about how you've fostered a positive team culture and supported diverse perspectives in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Kingfisher!
How to prepare for a job interview at hackajob
✨Know Your Algorithms
Brush up on your understanding of both classical and modern machine learning algorithms. Be ready to discuss how you've applied them in past projects, especially those that align with Kingfisher's goals.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led a team or project in the past. Highlight your ability to nurture talent and foster collaboration, as this is key for the Lead Machine Learning Engineer role.
✨Understand the Business Context
Familiarise yourself with Kingfisher’s commercial goals and how data science can support them. Be prepared to discuss how you can translate business needs into actionable data science projects.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This will be crucial when collaborating with diverse teams and stakeholders, ensuring everyone is on the same page.
