Technical Sales Engineers / Solutions Engineers – AI & ML

Manchester
2 weeks ago
Create job alert

Technical Sales Engineers / Solutions Engineers – AI & Machine Learning

Location: Remote UK with UK travel

Are you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.

Why Join Us?

ARCA is partnering with a cutting-edge AI company at the forefront of artificial intelligence and computer vision. This is more than just a sales role - it’s a chance to work with revolutionary AI technology, engage with leading enterprises, and drive digital transformation in an ever-evolving industry.

Your Role

As a Technical Sales Engineers / Solutions Engineers, you will be a key player in our growth, helping businesses understand and unlock the power of AI. Your responsibilities will include:

Driving Sales & Engagement – Connect with potential clients through email, calls, and social media, introducing our AI-driven solutions and assessing their needs.
Technical Consultation – Collaborate with customers to define project scopes, solve technical challenges, and maximize the value of AI implementations.
Customer Enablement – Deliver engaging webinars, presentations, and training sessions tailored to diverse audiences.
Sales Strategy & Business Development – Identify and develop new business opportunities, generating high-quality, sales-approved leads.

Demos & Presentations – Lead impactful technical demos that showcase the capabilities of AI and machine learning in solving real-world problems.
Cross-Functional Collaboration – Work closely with R&D, Sales, and Account Executives to align solutions with market needs and customer demands.
Market Insights – Report on customer challenges, competitive trends, and new opportunities to drive strategic growth.

What We’re Looking For

We want a high-energy, target-driven sales professional who can bridge the gap between complex AI technology and business value. The ideal candidate will have:

✔ 4+ years of experience in technical sales
✔ A strong track record in B2B sales, with a results-oriented mindset and a passion for closing deals.
✔ Excellent communication skills, capable of simplifying complex AI concepts for non-technical stakeholders.
✔ Nice to have: A Bachelor's degree in a technical field or equivalent hands-on experience.
✔ Nice to have: Familiarity with AI, computer vision, and machine learning markets.

What’s in It for You?

Work with groundbreaking AI solutions at the forefront of innovation.
Join a global team making an impact across industries.
Be part of an exciting, fast-growing company where your contributions matter.

Apply Now!

If this sounds like the opportunity you’ve been looking for, we’d love to hear from you! Submit your application today and take the next step in your AI sales career

Related Jobs

View all jobs

Technical Sales Engineers / Solutions Engineers – AI & ML

Technical Sales Engineers / Solutions Engineers – AI & ML

TECHNICAL SALES ENGINEERS X 5 AI /ML

HVAC Sales Engineer

Regional Sales Manager

Regional Sales Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Edge Computing Pros Fuel Creativity and Innovation

Edge computing continues to disrupt traditional cloud-centric models, enabling low-latency data processing, reducing network congestion, and unlocking real-time insights across diverse industries. From smart manufacturing floors to autonomous vehicles and healthcare devices, the potential impact of edge computing is immense. Yet, professionals in this field face constant challenges—balancing constraints of limited on-device resources, ensuring security at the edge, and rapidly integrating new hardware and software innovations. How do edge computing experts keep fresh ideas flowing amid these demands? Below, we explore ten practical strategies that empower edge architects, IoT developers, infrastructure engineers, and solution consultants to stay inspired and continually innovate. Whether you’re building next-generation IoT solutions or refining multi-access edge computing (MEC) platforms, these tips can help you approach complex problems with creativity and renewed passion.

Top 10 Edge Computing Career Myths Debunked: Key Facts for Aspiring Professionals

Edge computing is rapidly reshaping how data is processed, analysed, and acted upon—bringing computation and storage closer to the actual sources of data, whether that’s a factory floor, a smart device, or an autonomous car. As the demand for latency-sensitive applications grows—think autonomous vehicles, augmented reality, and real-time analytics—so does the need for skilled professionals who can architect, implement, and maintain robust edge computing solutions. Yet, as with any emerging tech discipline, misconceptions about edge computing careers abound. Some assume the field is only for hardware wizards or giant telecoms; others believe you need a PhD in distributed systems to get started. At EdgeComputingJobs.co.uk, we see firsthand how such myths can dissuade bright minds from joining an industry that’s on the cusp of significant global impact. This article aims to debunk the top 10 myths around edge computing careers, providing clear-eyed insights into the actual opportunities and requirements within this exciting space. Whether you’re a seasoned tech professional exploring new horizons or a newcomer drawn to the prospect of real-time data processing, we invite you to read on and discover why edge computing might be the perfect new frontier for your career.

Global vs. Local: Comparing the UK Edge Computing Job Market to International Landscapes

A guide to opportunities, salaries, and work culture in edge computing across the UK, the US, Europe, and Asia For years, cloud computing has dominated conversations about digital transformation, providing the on-demand resources and scalability that organisations need to innovate. However, another paradigm is rapidly gaining momentum: edge computing. By processing data closer to its source (think sensors on a factory floor or cameras in a smart city), edge computing can reduce latency, improve reliability, and even lower bandwidth costs. It’s already transforming industries such as manufacturing, autonomous vehicles, healthcare, and telecom—sparking strong demand for professionals who can design, deploy, and manage distributed systems at the “edge.” In this blog post, we’ll explore how the UK’s edge computing job market compares to major international hubs: the United States, Europe, and Asia. We’ll evaluate current hiring trends, salary ranges, and work culture factors, offering insights for anyone considering an edge computing career—whether locally in the UK or abroad. Whether you’re an embedded systems engineer, a cloud specialist pivoting to edge, or a data scientist branching into IoT analytics, understanding these global vs. local nuances can help you plan your next career move. By the end, you’ll have a comprehensive view of the evolving edge computing landscape, including which regions are leading adoption, what skill sets are most valued, and how compensation stacks up around the world. Let’s delve in.