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

Nominate & Attend

Software Engineer - £50,000 - £65,000 per year - High Wycombe

FryerMiles Recruitment
High Wycombe
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

Lead Software Engineer

Software Engineer - £50,000 - £65,000 per year - High WycombeFryerMiles are delighted to be partnering with a global defence business to assist with the recruitment of a Software Engineer to join their team based in High Wycombe.The successful candidate will join an extremely capable development team, adopting more Agile methods with DevOps playing an increasingly important role as you scale up the level of Continuous Integration and Automation in the clients delivery pipelines.Our client has an immediate and ongoing requirement for a passionate Software Engineer with strong software development skills and equally strong DevOps skills. The ideal candidate will be a software engineer who understands what a developer requires (and could in theory join the development team from time to time to write code) and also understands and has a passion for building, maintaining, and streamlining the continuous development and integration pipelines which support them.You'll be working with a mixture of technologies and software languages, based around a virtualised development environment and as such there is a wide range of skills that are applicable to this role. It is not expected that one person will hold all these skills, but it is expected that the DevOps team will have sufficient breadth and depth to cover all, and you will be key to achieving this.Specific duties:Software architectural design using UML and the Enterprise Architect tool.Software Implementation and test in C++ including unit and continuous integration testing.Sonar signal processing algorithm implementation, integration, and optimizationArtificial Intelligence algorithm implementation, integration, and optimizationPride in the development of good quality well thought-out code.Peer reviewing the design and code of others and contributing to a community where learning and feedback is valued.Integration, defect analysis and resolution to assist the verification teams with their work.Progression of assigned stories and tasks in a product backlog using the Azure DevOps tool including estimation of remaining work.Periodic verbal reporting of progress and contributing to sprint planning and retrospectives.Required Experience:Experience in C++ developmentExperience in multi-threaded designExperience in signal processing and/or AI/ML techniquesExperience of UML design techniquesExperience knowledge of the full software development lifecycleExperience Machine Learning experience would be an advantage.Experience of Python would be an advantage.Experience of packaging tools and repositories such as Conan and Nexus would also be an advantageValid SC CLEARANCE / Eligible for SC ClearancePersonal Attributes:Self-motivated, adaptable to change, proactive, diligent and with good inter-personal skills.Ability to rapidly apply generic knowledge to new problems in new environments.Travel5 Days onsite in High WycombeBenefits:25 days holiday plus bank holidaysMedical and Dental InsurancePension schemeBonus schemeSoftware Engineer - £50,000 - £65,000 per year - High WycombeTPBN1_UKTJ

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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

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.