AI Solutions Support Engineer

Synetec
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning (ML) Engineer II

Data Scientist/AI Engineer

Applied AI Engineer

Azure AI Engineer

AI Solutions Architect (R122902 AI Solutions Architect)

AI Solutions Architect (R122902 AI Solutions Architect)

We are looking for a highly motivated, eager-to-learn individual to join our dynamic team. This role involves providing high-level technical support to resolve customer issues, improve our product offerings, and enhance user experience.

The ideal candidate will have experience in software development, preferably with practical experience in C#, Angular, and SQL. Additionally, we seek someone with a genuine passion for technology and a keen interest in AI tools—whether it’s using AI to enhance software development, optimize support processes, or automate workflows.

This is a fantastic opportunity for a curious, problem-solving software engineer who wants to develop AI-related expertise while working in a fast-paced, collaborative environment.

 

This role is ideal for someone who is not just looking for a standard support engineering position but wants to stay at the cutting edge of AI-powered development. If you have a curious mindset and a passion for learning AI-driven technologies, we’d love to hear from you!

Responsibilities

  • Provide technical support and guidance to clients via email, phone, or chat and following Support Desk protocols
  • Work closely with the development team to identify, report, and fix bugs
  • Contribute to the development and improvement of product features using C#, Angular, and SQL
  • Explore and implement AI-powered tools to enhance support efficiency and automate repetitive tasks
  • Create and maintain documentation for support processes, solutions to common problems, and product updates
  • Assist in the development of internal tools to improve efficiency and effectiveness of the support process
  • Stay updated with the latest trends and technologies in software development and AI

Requirements

  • Bachelor’s degree in computer science, Information Technology, or related field
  • Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues
  • Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical users
  • Ability to work independently and as part of a team in a fast-paced environment
  • Strong proficiency in C#, Angular, and SQL
  • Experience with version control systems, such as Git
  • Familiarity with software development methodologies and lifecycle
  • Experience with AI-assisted automation in software support workflows
  • Experience with AI-powered development tools (e.g., GitHub Copilot, ChatGPT, OpenAI APIs)

Desirable Skills & Experience:

  • Knowledge of machine learning basics or exposure to AI frameworks
  • Experience with cloud-based services (AWS, Azure)
  • Exposure to scripting languages (Python) for automation

Benefits

  • Annual Salary of up to £35,000
  • Company Performance Bonus
  • Flexible working hours from a combination of home and office. Currently 1 day per week in office
  • Up-skilling/training opportunities—especially in AI tools and emerging technologies
  • Private healthcare after 12 months
  • Generous leave allowance of 23 days as well as all working days off between Christmas and New Year’s Day
  • Great location in London near London Bridge, Southwark and Waterloo stations

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.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.