logologo
Hunt UK Visa Sponsors
Jobs
logologoHunt UK Visa Sponsors

Find jobs from UK licensed visa sponsors — Companies House verified, updated daily.

About

How does it workContact Us

Find Work

JobsJobs by RoleLicensed SponsorsVisa TypesSponsor Statistics

Resources

BlogGlossaryOccupation EligibilityIncome Tax CalculatorILR Tracker

Content on this site is for general information only and does not constitute legal advice. Always consult a regulated UK immigration solicitor for advice specific to your situation.

Copyright © 2026. All rights reserved.

Kingfisher plc

Machine Learning Platform Engineering Manager

CompanyKingfisher plc
LocationLondon, England, United Kingdom
Posted At3/15/2026

UK Visa Sponsorship Analytics

Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700 (£28.05 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Kingfisher plc. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

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 lif e . Guided by our purpose Better Homes. Better Lives. For Everyone . W e believe a better world starts with better homes, and we work every day to make that a reality . Join us and help shape the future of home improvement. London, Southampton & Yeovil. Talk to us about how we can best support you !

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineering Manager who can lead the productionisation of advanced AI solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making.

You will guide the delivery of real world Machine Learning systems across the business and help establish a strong engineering culture across our AI organisation. This role is suited to someone who is confident in both leadership and technical depth, with the enthusiasm to champion the adoption of AI across the group.

What's the job?

Key Accountabilities / Responsibilities

  • Lead the delivery of major Artificial Intelligence projects and help drive the next stage of Machine Learning development within Kingfisher.
  • Oversee multiple teams working across a wide range of business domains and ensure they deliver complete end to end Machine Learning solutions.
  • Develop and support Machine Learning team leads who each manage domain based project teams.
  • Build and guide diverse teams that can translate business needs into Machine Learning solutions and communicate recommendations clearly to non technical stakeholders.
  • Create an environment of cross team collaboration and knowledge sharing in order to improve effectiveness across Group AI.
  • Work closely with Technology, Product and Data colleagues to help shape the data platforms that enable us to embed Machine Learning into our products and operational processes.
  • Act as a visible advocate for the use of Machine Learning within Kingfisher and help promote its value across the group.
  • Support the wider data leadership team in developing a strong data culture and in demonstrating the importance of data informed decisions.
  • Contribute to the development and recognition of the Group AI brand both inside and outside the organisation

  • What You'll Bring

    • Strong leadership experience with the ability to build, mentor and organise high performing Machine Learning teams.
    • Excellent stakeholder management skills with the ability to understand real business needs and influence senior decision makers.
    • Solid grounding in computer science including algorithms, data structures, modelling and software architecture.
    • Strong understanding of classical Machine Learning and modern Deep Learning methods.
    • Good proficiency in SQL and Python and familiarity with the Python data ecosystem.
    • Experience working with Generative AI and agent based frameworks such as LangChain or LangGraph.
    • Clear understanding of the Machine Learning development lifecycle and MLOps principles.
    • Proven experience delivering AI solutions into production environments including cloud based services.
    • Confidence working with CI/CD, data pipelines and containerised deployments such as Kubernetes and Kubeflow.
    • Strong communication skills and the ability to manage several technical projects simultaneously.

    How We Work

    We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our E ngineering team - 4 0% of your time involv ing in-person collaboration .

    We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements.

    What We Offer

    An inclusive environment where your potential is limited only by your imagination. We encourage new ideas , support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here

    We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.

    Diversity & Inclusion

    Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

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