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

Nominate & Attend

Software Engineer (Hiring Immediately)

e2e-assure
Abingdon
4 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer, Machine Learning

Software Engineer (Machine Learning)

Software Engineering Manager – Machine Learning

e2e-assure are looking for Software Engineers to join our Research & Development team.


This small and friendly team is responsible for the advancement of our innovative security monitoring platform and developing new solutions that meet the cyber security needs of our growing portfolio of customers.


We work on genuinely exciting, industry-leading requirements that lead to truly effective solutions. Collaborating with cyber security professionals we see the fruits of our labour make a difference to our colleagues every day and feel part of something important.


We believe in Agile, test-driven development and continuous integration. We contribute to a continuously improving development methodology.


Our technology stack includes: Python, JavaScript/TypeScript (Angular), MySQL, PHP and MongoDB; supported by Git, Jenkins and Jira. Knowledge of these things is an advantage but more than specific language skills we are looking for fast learners and good problem solvers.


Candidate Attributes

Essential

  • A keen interest in software development
  • Demonstrable coding skills in either Python or Angular / JavaScript
  • Knowledge of web application development principles
  • Excellent communication skills
  • Fast learner, conscientious and professional


Desirable

  • Developing integrations with 3rd-party APIs
  • Creating web applications using Angular
  • Development tool configuration
  • Package management
  • Knowledge and interest in cyber security trends
  • Experience in any of the following would be an advantage: *Test Driven Development * Git* Jenkins * Jira * JavaScript/TypeScript * SQL *Agile * Scrum * machine learning algorithms * PyUnit or selenium test frameworks * AWS or Azure *bash * Go


Additional Information

Salary: £40,000 – £45,000 dependent on experience.


Location: This is a hybrid role, based at our offices in Oxfordshire 3 days per week


Relocation Allowance: A relocation allowance is available for this role, if applicable


Benefits: Contributory pension scheme, 25 days annual leave + Bank holidays (with additional for continued service), enhanced maternity/ paternity/ sick pay, Cycle to Work scheme, tech purchase scheme, Employee assistance program for mental health and wellbeing, neurodiverse support, inclusive and friendly working environment


Clearance: Individuals in this role must be eligible for SC and NPPV3 clearance. This requires residency in UK for the last 5 years. Failure to pass these checks may result in your employment being discontinued.


e2e-assure is an equal opportunities employer. We understand the importance of diversity and inclusion to the success of e2e-assure as a business and are committed to providing a diverse working environment.


We expect e2e-assure employees to have a high standard of personal integrity, both during and outside work time, including how they present themselves online. We may conduct background and open-source checks to verify this.


To view our full candidate and careers data policy please visit this page

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.

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.