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

Apply Now

Solution Engineer (GSS) - 30449

Splunk Inc
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - 12 Month FTC

Senior Data Engineer (Analytics Platform)

Senior Data Engineer

Data Engineer/Solution Architect

Data Engineer/BI Solution Designer

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role

Are you passionate about groundbreaking technology and helping your customers and peers succeed? Would you like the opportunity to work at a fast-growing company that is changing the way that information is used to support business decisions? If you answered yes to these questions then we have a home for you at Splunk!Splunk is seeking a highly motivated, inherently curious, results oriented individual to join our dynamic Global Shared Services (GSS) team as a Solutions Engineer (SE).

Responsibilities

Partner with Sales and Solutions Engineers to deliver key activities that support the evaluation of the suitability of Splunk’s products and solutions to customers remotely, with a focus on value-based differentiators Research and respond to functional and technical elements of RFIs/RFPs Deliver a variety of customer-facing workshops to enable our customers to learn about Splunk technology Take part in discovery calls to identify customer requirements Work with customers and internal Splunk teams after the sale to assist them with adopting Splunk’s products and solutions With training and mentoring, learn the skills to identify customer requirements, deliver demonstrations of Splunk’s capabilities, and use our business value platform to correctly size licenses and establish the value of our solution IMPORTANT We can teach you the technology, coach you on soft skills and educate you on processes. You should have a strong sense of self-motivation, an insatiable curiosity about what “is possible” with technology, the desire to work with an awesome team and a positive, fun-loving attitude

Requirements

You should ideally have either some experience in selling and supporting software products to IT organizations or have experience using or supporting technology in a business setting Strong interpersonal skills, both written and oral, and an ability to communicate complex ideas to all levels of the business Business-level German or French is a plus. A confident and comfortable presenter interested in developing these skills further Ability to be organized and analytical, and will be able to eliminate sales obstacles using creative and adaptive approaches Comfortable working for a dynamic technical organization with a fast growing customer base Familiarity with programming or scripting is a plus as well as with regular expression (RegEx) pattern matching would be an advantage. Prior experience with search engine technologies and query languages would be an advantage Knowledge of “Big Data” or SQL technologies a plus Desire to learn, grow and be a part of our expanding and dynamic Team

Are you looking for an incredible place to work that celebrates innovation, leadership and creativity? Please contact us. Splunk offers competitive compensation and excellent benefits. When you join Splunk you'll be working with a team of smart people who are as passionate about our products as our customers' success.

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.