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

Apply Now

Sr Technical Support Engineer (APM)

Aspen Technology
Reading
1 year ago
Applications closed

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The Role

Aspen Technology is seeking a Principal Technical Support Engineer to join our industry leading Asset Performance Management (APM) software support team. The ideal candidate should be an innovative thinker, demonstrate high initiative, have great communication skills and work to the highest ethical standards. The candidate will work with our customer base to resolve problems and provide consultation with AspenTech APM software such as Aspen Mtell and Aspen Fidelis. This position requires customer interaction primarily through telephone, E-mails, and remote desktop sharing.

Your Impact

Provide loyalty-inspiring customer service that drives user engagement and sustains product usage. Troubleshoot & resolve complex technical and/or engineering related problems reported by customers using AspenTech’s proprietary software. Responsible for the escalation of customer issues and driving the resolution cross-functionally within AspenTech. Deliver high-quality intermediate/advanced level training classes, based on the relevant principles of engineering and industrial processes, to AspenTech customers. Develop and/or maintain customer focused training materials for new releases and new applications in the industry. Conduct pre-sales consultations, based on relevant engineering principles and industrial processes, to identify prospects’ business problems and articulate AspenTech’s products as the solution. Uncover and analyze client/prospect needs to support growth in usage, through a variety of pre-sales activities. Develop strong relationships with customers, building an understanding of their business needs and challenges. Collaboration with other AspenTech functions to maintain and develop business opportunities. Function as a subject matter expert in AspenTech’s pre-release software testing program to drive improved product quality. Coach fellow team members to enhance their technical skills to help boost their overall contribution. Other tasks may include: Conduct health checks on assigned accounts; deliver onsite support and consultancy; deploy AspenTech solutions in customer business environments; execute various departmental improvement projects as needed; author technical white papers for publication to AspenTech’s web knowledgebase.

What You'll Need

Bachelor’s degree in engineering in related discipline 8-12 years of relevant experience preferred. University experience may count. Prior experience with or University coursework in Statistical Methods will be helpful. Experience in process control, equipment maintenance and/or reliability in oil & gas, chemical, petrochemical, pulp & paper, mining, pharmaceutical or food & beverage industries is an added advantage. Good knowledge of big data, data analysis, machine learning, AI, Python, SQL or related specializations is an added advantage. AspenTech solution (Mtell, ProMV, and/or Fidelis) experience is preferred. Ability to present complex information in a clear and concise manner utilizing strong written and verbal communication skills. The ability to identify opportunities that create value for customers with a strong customer-first mindset. Ability to manage multiple responsibilities and competing priorities. Ability to travel. Travel is usually less than 25% and may occasionally be international.

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

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

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.