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

Apply Now

Account Executive (HPC)

asobbi
Liverpool
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Staff Machine Learning Scientist, Operations

Senior Data Analyst

Data Scientist (Portfolio Analytics)

Data Scientist (Portfolio Analytics)

Senior Commercial Data Analyst EMEA

Senior Strategic Analytics and Data Science Manager

Join a cutting-edge team revolutionizing the AI GPU cloud industry with a focus on deep learning technology. Their clients include industry leaders in various sectors, including technology, aviation, and manufacturing.

If you're passionate about shaping the future of AI infrastructure and enjoy working in a dynamic environment, we invite you to apply for the following position:

This is a remote role based in the UK.

Account Executive (HPC):

Job Purpose:

As an Account Executive, you will be responsible for driving multi-million dollar deals with top-tier Fortune 500 companies and overseeing large-scale private GPU deployments. Your role will involve:

Responsibilities:

  • Cultivating strategic relationships with key decision-makers within targeted verticals
  • Forecasting revenue goals and capitalizing on short and long-term revenue opportunities
  • Managing strategic accounts and formulating account plans to expand business opportunities
  • Leading complex, consultative sales processes with a technical focus
  • Contributing to outbound strategy development, including on-site presentations, executive networking, and conference participation
  • Collaborating with product and marketing teams to shape offerings tailored to new market segments

Requirements:

  • In-depth understanding of the AI GPU industry
  • Proven ability to establish rapport quickly and assess customer interest in building partnerships
  • 5+ years of direct sales experience within Fortune 100 sales
  • Background or keen interest in AI solutions, cloud computing, GPU hardware, or infrastructure as a service (IaaS)
  • Demonstrated success in managing multi-million dollar customer relationships and closing significant deals
  • Experience in sectors such as healthcare, medical research, drug discovery, protein folding, or digital imaging is advantageous
  • Proficiency in engaging in business-level and technical discussions across various organizational levels
  • Enthusiasm for exploring new markets and driving growth
  • Strong interpersonal skills and ability to collaborate effectively across departments and with external stakeholders
  • Willingness to mentor team members and contribute to a collaborative work environment
  • Flexibility to travel extensively

Nice to Have:

  • Background in product or engineering
  • Salary Range Information:

The salary range for this role is £120,000-£240,000 OTE, with a base/commission split of 50/50. Equity will be included in the package. Adjustments may be considered based on candidate qualifications.

A Final Note:

We welcome candidates from diverse backgrounds and experiences. You do not need to meet all listed requirements to apply. We are committed to fostering a team that reflects a range of perspectives and talents.

If you're ready to join a forward-thinking team at the forefront of AI innovation, apply now!

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.