National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Technical Sales Engineers / Solutions Engineers – AI & ML

Bristol
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Forward Deployed Data Scientist

Junior Machine Learning Engineer - AI startup

Data Science Manager

Lead Data Engineer - KPMG Curve

Lead Data Engineer - KPMG Curve

Data Scientist

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

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.