Lead Machine Learning Engineer

Kingfisher Plc; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading home improvement company is seeking a Lead Machine Learning Engineer to guide the development of AI services within their Data Science team. The role focuses on implementing data science projects and fostering a high-performing team. Ideal candidates will have proven experience with AI products, cloud services, and Machine Learning algorithms. The company values inclusivity and offers flexible working conditions, competitive benefits, and opportunities for career growth.

Benefits

Private Health Care

Pension Scheme

25 Days' Holiday

Staff Discount

Share Incentive Plan

Life Assurance

Competitive Bonus

Share Save Option

Qualifications

• Experience managing a team of Machine Learning Engineers.
• Ability to collaborate with tech and product teams.
• Strong communication skills for stakeholder management.

Responsibilities

• Lead implementation of data science projects.
• Develop a proficient team of Machine Learning Engineers.
• Support diverse teams translating business and data.

Skills

Proven experience delivering high-quality AI-based products

Developing cloud-based machine learning services

Understanding classical Machine Learning algorithms

Knowledge of SQL and Python's ecosystem

Strong software development skills

Management and leadership skills

Strong influencing and communication skills

Job description

We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.

At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.

We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. 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, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities.

At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements.

In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.

Interested? Great, apply now and help us to Power the Possible.

• 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 allow us to apply data science and embed the use of data science directly in our products and processes
• 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 our decision making
• Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences

• Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products
• Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)
• Excellent 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)
• Strong software development skills (Python is the preferred language)
• Strong management and leadership skills – previous experience managing a team
• Strong influencing, communication and stakeholder management skills

Be Customer Focused – constantly improving our customers’ experience

Be Human – leading with purpose, humanity and care

Be Curious – thrive on learning, thinking beyond the obvious

Be Agile – building trust and empowering people to work with agility

Be Inclusive – inspiring diverse teams to achieve together

Be Accountable – owning the plan, delivering results and growth

We listen to our customers and colleagues

We innovate products and experiences to stay ahead

We do the right thing

We invest in our people and build great teams

We experiment and share our learnings

We act with pace, not perfection, role modelling 80/20

We take risks, fail fast and adapt quickly

What we offer.

Private Health Care

Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation).

Kingfisher Pension Scheme

Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company.

25 Days' Holiday

25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues).

Staff Discount

20% discount at B&Q and Screwfix. Eligible after 3 months service.

Kingfisher Share Incentive Plan (SIP)

Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

Life Assurance

x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member.

Bonus

Competitive bonus scheme that aligns to work level of role.

Kingfisher Share Save

Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.

Application Process

What to expect from our application process...

Step 1: Application

Send in your application via our Kingfisher Careers website.

Step 2: Review

A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process.

Step 3: Interview 1

You’ll then have a telephone interview/one to one conversation with a recruiter.

Step 4: Interview 2

As you progress, you’ll be invited to attend a face to face or virtual interview.

Step 5: Feedback

Your recruiter will be in contact with feedback and, if successful, the details of your job offer!