AI Solutions Support Engineer

Synetec
London
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - AWS

AI/ Machine Learning Engineer NLP / LLM - Contract

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)

Data Scientist and AI Engineer on KTP Project with Carpenters Group

Data Engineer

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

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.