Solution Engineer

viso.ai
London
2 months ago
Applications closed

Related Jobs

View all jobs

Pre-Sales Engineer / Product Associate

Product Specialist Graduate Level

Data Engineer

Data Engineer - Python & Azure

Data Engineer - Python & Azure

Software Engineer

Job Description

As a Solution Engineer, you will be an essential member of our product solutions team and will have the opportunity to be involved in implementing projects using Viso Suite at various stages of the deal cycle. You will assist by providing technical guidance, addressing queries, and building computer vision projects. You will troubleshoot hardware and software issues, manage technical documentation, and take a role in creating training materials, including user guides, tutorials, and technical workshops. These materials will empower clients and partners to effectively utilize our solutions and ensure their long-term success. In this client-facing role, you will serve as the primary point of contact for external support requests, ensuring timely resolutions, exceptional customer service, and a seamless experience throughout the client journey.

Location
This role will be remote, based in London (UK).
Applicants must be legally authorized to work in the United Kingdom.

Responsibilities
You will develop expertise in using Viso Suite and leverage your knowledge to contribute across various areas, including:
  • Support potential clients by creating custom demos and POCs tailored to their specific needs and use cases, showcasing the capabilities and value of our solutions.
  • Provide best in class support for clients, addressing and resolving hardware and software issues.
  • Create, update, and maintain technical documentation for client use, ensuring clarity and accuracy.
  • Develop training programs for clients and partners, ensuring they can maximize the value of our platform.
  • Conduct training sessions to empower clients with the skills and knowledge needed to successfully adopt and integrate our solutions.
  • Gather feedback from training participants to continually refine and improve training programs, ensuring they remain engaging, effective, and relevant.
  • Work closely with our Product team, to escalate complex issues, provide feedback and ensure cohesive service delivery
  • Contribute to the development of best practices for support processes and recommend improvements based on client feedback and observed trends.
Qualifications
We value diverse experiences and encourage candidates from various industries to apply. While the following qualifications will make for a strong candidate, alternative experiences that bring something new to the table are also welcome.

Required Skills
  • Bachelors degree in Computer Science, IT or other technical field
  • 1-2 years experience in a client-facing support role
  • Basic JavaScript, and integrations (REST API, MQTT)
  • Excellent problem-solving skills and a keen attention to detail
  • Strong communication skills, both written and verbal
  • Early startup experience
Desired
  • Familiarity with Linux operating systems
  • Basic networking knowledge
  • Basic knowledge about IP cameras
  • Experience with creating technical documentation
  • Experience with machine learning frameworks (TensorFlow, Pytorch)
  • Experience in Python

What We Offer
We build the only end-to-end infrastructure for computer vision. It empowers enterprises to implement AI vision solutions significantly faster and better than ever before.
viso.ai is backed by the most successful investors who previously backed Facebook, Slack, Atlassian, DropBox, UiPath, Celonis, Segment, and many more. There are many benefits to working at viso.ai, including, in addition to competitive pay, being part of a small and agile, fast-growing company.
  • Opportunity to work in a fast-paced, innovative environment.
  • Competitive compensation package.
  • Private Medical Insurance (including optical and dental)
  • Flexible working hours and remote work options.
  • Professional development and career growth opportunities.

Join us in driving growth and shaping one of the most exciting AI industries.
We look forward to hearing from you!


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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.