Window and Door Sales Consultant

Equals One Ltd
Walton-on-Thames
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Mid-Senior, Remote)

Machine Learning Engineer (Mid-Senior, Remote) - Renude

Machine Learning Engineer (Mid-Senior, Remote) - Renude

AWS Data Engineer

Data Analyst (Energy Analyst) - Contract - 2611

Senior AI Data Scientist

Join Our Journey: Window & Door Sales Consultant - Spark Your Success with Us!West YorkshireOpportunities Available: Employed & Self-Employed RolesCreative Compensation Package: Base + Commission | Company Car/ Car Allowance| Onsite training using the latest technology support tools | Flexible working and continuous professional development.Who We Are: West Yorkshire Windows Ltd is an industry leader in the West Yorkshire home improvement market, offering an extensive array of avant-garde products including conservatories, orangeries, double-glazing windows, and elegantly crafted doors made from UPVC and aluminium. With a strong commitment to exceptional customer service and a focus on innovative design, the company not only meets but exceeds customer expectations, driving its sales and reputation in West Yorkshire. Their comprehensive approach, combining aesthetic appeal with cutting-edge security features, positions them at the forefront of the home improvement sector, appealing to homeowners looking for quality, innovation, and reliability.Who We Seek : Are you a motivated and eager to leave your mark? We're on the hunt for sales maestros eager to dive into the world of home improvement sales. Maybe you've got experience, maybe you don't; what matters to us is your fire, your drive, and your knack for engaging. Our team has a diverse background from architects to educators, all united by a common goal. Ready to learn? We're ready to teach.Your Role: Embark on a career as a Window & Door Sales Consultant, where you're not just selling, you're crafting dream spaces for homeowners throughout West Yorkshire. You'll be the go-to professional, from sparking conversations to understanding client visions, and offering bespoke solutions that turn dreams into reality. Your role is crucial in our quest for exceeding customer expectations and achieving sales targets.You Will Need:A genuine, professional approach that mirrors our brand values.A hunger to smash through sales goals.The agility to thrive in a landscape that's always shifting.Stellar communication skills - listening, understanding, and persuading.Next Step: If you are motivated and have a passion for sales, please submit your CV.INDLSTPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.