Business Development Executive, Tech / IT

Slough
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager

Finance Data Analyst

Data Analyst - Learning and Training Sector

Machine Learning Engineer

Developer with Data Engineering focus

Data Engineer - AWS

Job Title: Graduate Business Development Executive
Salary: £35,000 - £38,000 + OTE
Location: South East England, UK
Industry: B2B, IT Sales, AI, Machine Learning, NLP Applications, UCaaS, IoT, Complex Sales, Solution Sales
Travel: National and International

About the Role:

Our clients are seeking a dynamic and motivated Graduate Business Development Executive to join our client’s award-winning organisation. This is an exciting opportunity for a Graduate with a strong academic background and a passion for technology and sales to start a career in IT sales.

Key Responsibilities:

  • Sales Achievement: Drive new customer acquisition and business growth, working towards set annual sales targets.

  • Client Consulting: Engage with clients to understand their needs and provide tailored IT solutions.

  • Communication: Maintain effective communication with team members, managers, and sales leadership to ensure alignment with sales strategies.

  • Continuous Learning: Focus on developing and refining your sales skills to improve effectiveness and performance over time.

  • Customer Engagement: Provide a high level of customer service, ensuring client satisfaction and long-term partnerships.

    Requirements:

  • Education: Bachelor’s degree (2:1 or above) with A Levels A-B grades, or equivalent.

  • Passion for Technology: A genuine interest in AI, Machine Learning, NLP Applications, UCaaS, IoT, and IT solutions.

  • Sales Aptitude: Previous experience in retail or customer-facing roles is preferred, with a strong desire to succeed in sales.

  • Interpersonal Skills: Strong influencing and negotiating skills, with the ability to build and maintain relationships.

  • Attention to Detail: High level of accuracy in managing client information and sales documentation.

  • Resilience: A tenacious attitude and the willingness to go the extra mile to meet targets and achieve success.

    What’s on Offer:

  • Competitive Salary: £35,000 - £38,000 base salary with OTE.

  • Training and Development: Ongoing professional development and training to equip you with the skills necessary for success in the IT sales industry.

  • Global Exposure: Opportunity to travel both nationally and internationally, expanding your professional network and experience.

  • High-End Solutions: Work with cutting-edge technologies, including AI, Machine2Machine, IoT, NLP, UCaaS, IT Security, and Unified Communications.

    Our Client:

    Our client is a champion in the industry, known for their innovative approach and multi-award-winning solutions. They are committed to the professional growth and success of their team, providing a supportive and dynamic environment where driven graduates can thrive.

    Application Process:

    If you are a graduate with a zest for technology and a passion for sales, we would love to hear from you. Apply now to embark on a rewarding career where you can make a significant impact and grow professionally.

    This job specification is designed to attract graduates who are eager to start a career in IT sales, highlighting the exciting opportunities for growth, development, and international travel. The language used is clear, professional, and designed to appeal to ambitious individuals looking to make a mark in the tech industry

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.