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

Nominate & Attend

Software Engineer

Ashton Fire Limited
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer (Machine Learning)

Software Engineer, Machine Learning and Electronic Design Automation

Software Engineer (Machine Learning)

Software Engineer | Ashton Fire


Location:Manchester office (Hybrid)


Hours:37.5 hours per week (Monday- Friday) however, our flexible working policy will allow you to vary your day and suit the demands of everyday life.


Salary:£60,000 - £70,000 per annum (DOE)


Join our team of dedicated professionals at Ashton Fire to apply your expertise in technology and innovation, and help shape the future of fire safety.


Who we are:

Ashton Fire is a dynamic and rapidly growing Fire Safety and Engineering Consultancy. Operating from an ethical platform, our social and environmental values are at the core of our organisation and service delivery. We strive to provide the highest quality, morally and ethically balanced service to our clients whilst maintaining a team focused working environment.


About the role:

As a Software Engineer at Ashton Fire, you will take ownership of driving technological advancements and developing innovative solutions to enhance efficiency and productivity within our fire safety consultancy. This role requires a high degree of autonomy and self-motivation, as you will be expected to proactively identify opportunities for improvement, champion new initiatives, and drive projects forward independently. Your primary focus will be to identify areas for improvement, design and implement cutting-edge tools and systems, and collaborate with stakeholders from various disciplines to translate their needs into feasible technical solutions. You will have the opportunity to work with emerging technologies such as artificial intelligence (AI) and machine learning (ML) to create automation strategies that reduce manual effort, minimise errors, and optimise existing processes and workflows in the context of fire safety engineering. A key priority will be the fast-tracked development and deployment of AI agents to automate critical workflows and drive organizational productivity.

In this role, you will conduct in-depth research on the latest industry trends and best practices to ensure that Ashton Fire remains at the forefront of innovation in the fire safety sector. You will foster a culture of continuous improvement within the team and manage technology development projects from ideation to implementation, ensuring timely delivery and adherence to quality standards. As a Software Engineer, you will also be responsible for communicating complex technical concepts to non-technical stakeholders, facilitating effective collaboration and decision-making. You will continuously monitor and evaluate the performance of implemented solutions, making data-driven recommendations for further enhancements to drive Ashton Fire's technological advancement and success in delivering exceptional fire safety consultancy services to our clients.



Skills you will bring:

  • Bachelor’s degree in computer science, mathematics, engineering or a related field.
  • Proven experience in technology development, innovation, or a similar role.
  • Strong self-starter mentality with proven ability to work autonomously and drive initiatives forward.
  • Expertise in artificial intelligence (AI), machine learning (ML), automation, and data analytics.
  • Familiarity with agile development methodologies and project management principles.
  • Strong programming skills in languages such as Python, Java, and / or C++.
  • Proficiency in Microsoft Office, particularly Word, Excel and Outlook.
  • Strong understanding of Microsoft 365, Azure, Fabric, and OneLake environments
  • Ability to work in a multidisciplinary environment.

Desirable experience / qualifications

  • Master’s degree or doctorate in a relevant field is a plus.
  • Experience in a relevant engineering field.
  • Experience working as part of a wider team of different disciplines.



Perks & Benefits:

Most of our benefits are available to all employees from day one of employment.

  • Flexible working
  • 9 day working fortnight (after successfully passing probation)
  • Private medical insurance & cash plan
  • Company bonus scheme
  • Enhanced Maternity & Paternity leave
  • Life assurance
  • Company events & socials
  • Employee assistance programme
  • Group income protection
  • Enhanced parental leave
  • Cycle to work scheme
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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.