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8,454

Intelligence jobs in United Kingdom

Machine Learning Engineer Manager

Kingfisher

Greater London
Hybrid
GBP 80,000 - 120,000
25 days ago
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Client Relationship Coordinator (Client Onboarding and Invoicing)

Withersworldwide

City of Westminster
Hybrid
GBP 80,000 - 100,000
25 days ago

Senior Marketing Manager

Informa Plc

Greater London
On-site
GBP 60,000 - 80,000
25 days ago

EHS Advisor

Handley James Consulting Ltd

Bury
On-site
GBP 60,000 - 80,000
25 days ago

Marketing Manager (Construction)

GBR Recruitment Limited

Leicester Forest East
On-site
GBP 40,000 - 60,000
25 days ago
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External Information Solutions Lead

ARM

Slough
Hybrid
GBP 60,000 - 80,000
25 days ago

Launch Your Cloud Career: No Experience Needed

e-Careers Limited

Liverpool
On-site
GBP 80,000 - 100,000
25 days ago

Cloud Architect

e-Careers Limited

Liverpool
On-site
GBP 80,000 - 100,000
25 days ago
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Global Insurance and Risk Management - Associate Director

Takeda pharmaceutical

City of Westminster
On-site
GBP 100,000 - 125,000
25 days ago

Registered Manager

ivolve Care & Support

Wellingborough
On-site
GBP 30,000 - 36,000
25 days ago

Senior Application Developer

Essex County Council

Chelmsford
On-site
GBP 40,000 - 55,000
25 days ago

Senior Product Manager (Drive)

Proton

Greater London
Hybrid
GBP 80,000 - 100,000
25 days ago

Business Development Manager - UK

Stewart Title

Greater London
On-site
GBP 40,000 - 60,000
25 days ago

Drive Architect

Proton

Greater London
Hybrid
GBP 70,000 - 90,000
25 days ago

Applied AI/ML Lead Engineer — Onboarding & Docs

JPMorganChase

City Of London
On-site
GBP 90,000 - 120,000
25 days ago

Medical and Clinical Administrator

Midlands Partnership NHS Foundation Trust

Shrewsbury
On-site
GBP 24,000 - 27,000
25 days ago

Customer Engagement Executive

Vita Student

Wilmslow
Hybrid
GBP 26,000
25 days ago

Hub Business Support

Southwark Schools

Greater London
On-site
GBP 100,000 - 125,000
25 days ago

Cyber Security Analyst

RPS Group Limited

Abingdon
Remote
GBP 45,000 - 60,000
25 days ago

Account Manager (Maritime)

Kpler

Greater London
On-site
GBP 45,000 - 60,000
25 days ago

Business Development Representative - Event Sponsorship

Product Marketing Alliance

Greater London
Hybrid
GBP 25,000 - 28,000
25 days ago

Field Engineer Apprenticeship

Virgin Media

Greater London
On-site
GBP 26,000 - 29,000
25 days ago

Business Development Manager (12 - Month Contract)

Uniting Holding

Rotherham
On-site
GBP 35,000 - 50,000
25 days ago

Rough Sleeper Outreach Worker

Novax Recruitment Ltd

Northampton
On-site
GBP 10,000 - 40,000
25 days ago

Board Information Governance Manager/Deputy Data Protection Officer - Information Governance B7

NHS National Services Scotland

Scotland
On-site
GBP 45,000 - 60,000
25 days ago

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Machine Learning Engineer Manager
Kingfisher
Greater London
Hybrid
GBP 80,000 - 120,000
Full time
25 days ago

Job summary

A leading home improvement retailer in the UK seeks a Machine Learning Engineering Manager to lead AI projects and foster a strong engineering culture. The ideal candidate will possess leadership experience, expertise in Machine Learning, and the ability to manage teams and stakeholder expectations effectively. This role offers a dynamic work environment and opportunities for career growth.

Benefits

Competitive benefits package
Flexible working arrangements
Opportunities for career growth

Qualifications

  • Strong leadership experience with the ability to build and mentor Machine Learning teams.
  • Excellent stakeholder management skills.
  • Solid grounding in computer science and software architecture.
  • Strong understanding of classical and modern Machine Learning methods.
  • Proficient in SQL and Python with familiarity in data ecosystems.
  • Experience with Generative AI frameworks.

Responsibilities

  • Lead the delivery of major Artificial Intelligence projects.
  • Oversee multiple teams and ensure complete Machine Learning solutions.
  • Develop and support Machine Learning team leads.
  • Build diverse teams translating business needs into Machine Learning solutions.
  • Work with Technology, Product and Data teams to embed Machine Learning.

Skills

Leadership experience
Stakeholder management
Computer science grounding
Understanding of Machine Learning methods
Proficiency in SQL
Proficiency in Python
Experience with Generative AI
Understanding of MLOps principles
Experience with cloud services
CI/CD knowledge

Tools

Kubernetes
Kubeflow
Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Overview

We're Kingfisher, A team made up of over 82,000 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, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in 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.
Be Customer Focused - constantly improving our customers' experience
  • I listen to my customers
  • I use available data to help make decisions
Be Human - acting with humanity and care
  • I do the right thing
  • I am respectful
Be Curious - thrive on learning, thinking beyond the obvious
  • I build and share new ideas
  • I try new things and share my learnings
Be Agile - working with trust, pace and agility
  • I have courage to be creative
  • Done is better than perfect, I aim for 80/20
Be Inclusive - acting inclusively in diverse teams to work together
  • I embrace allyship
  • I have self‑awareness and a desire to learn
Be Accountable - championing the plan to deliver results and growth
  • I own my actions
  • I understand the Kingfisher plan and how it relates to my role

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. 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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