Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Field Sales Executive (Remote) (M/F)

Wolters Kluwer
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Space & Range

Senior Data Analyst (Finance)

COS Senior Data Analyst (Finance)

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Experienced Data Engineer - with strong commercial BI developer experience

#Bethedifference

If making a difference matters to you, then you matter to us.

Wolters Kluwer is a global leader in information services and solutions for professionals in the finance, tax and accounting, risk and compliance, health and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.

Wolters Kluwer ELM Solutions (Enterprise Legal Management) provides a comprehensive suite of tools that address the growing needs of corporate legal operations departments to increase operational efficiency and reduce costs. Corporate legal and insurance claims departments trust our innovative technology and end-to-end customer experience to drive world-class business outcomes.

We are currently looking for aSenior Field Sales Executiveto join our team.

Mission:

TheSenior Field Sales Executivewill be selling our award-winning solutions to Corporate legal and insurance claims departments, trusting our innovative technology and end-to-end customer experience, to drive world-class business outcomes.

Key Responsibilities:

100% responsible for pursuit of new business within vertical territory Manage sales through forecasting, account resource allocation, account strategy, and planning Develop solution proposals encompassing all aspects of the product Develop, present and sell a value proposition Negotiate product/service terms based on discretion in line with department policies and guidelines Nurture complex or high-profile territories and/or accounts Organize regular status and strategy meetings with the customers’ senior management to understand their needs and link them to the organization's product/service strategies

Profile:

Bachelor’s Degree or equivalent relevant experience Solid experience in enterprise software or integrated software or platform sales (AI/Machine Learning SaaS sales) 7+ years’ experience in Field Sales or other equivalent experience Deep understanding of business, financials, products/services and the market Recognized as an expert in one or more areas with an external reputation within industry

Travel Requirements:

Travel to and attend conferences events and customer meetings - up to 50%.

-This is a remote position.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.