Solution Engineer

viso.ai
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer Expert/Manager

Data Analytics Developer - March 2025

Data Engineer - Python & Azure

Data Engineer

Data Engineer - UK Perm - Manchester Hrbrid

Data Engineer - Remote - Global Tech Company - £80,000 - Snowflake/ DBT/ SQL/ Airbyte

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

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

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.