Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Software Engineer

Boultham
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Staff Machine Learning Engineer - Autonomy

Principal Data Scientist (H/F)

Staff Machine Learning Performance Engineer, Inference Optimisation

Machine Learning Engineer (Databricks)

Principal Data Scientist (H/F)

All applicants must be a UK national to be considered for this opportunity due to the nature of this role and to allow for government security vetting (UKSV).
My client is a software house, developing and delivering innovative solutions through a dynamic team of experienced professionals and graduates. There is a strong culture with a collaborative working environment that promotes growth, creativity, and excellence. They are currently looking to recruit a dedicated and experienced Senior Full Stack Software Engineer/Developer with a minimum of 8 years of relevant experience to join their expanding team. This is a leadership role that encompasses all aspects of the software development lifecycle, from requirements capture to design, implementation, documentation, and testing. The successful candidate will thrive in an agile framework and will play a critical role in mentoring and leading a team of over 30 engineers.
Key Responsibilities:

  • Provide guidance, mentorship, and upskilling for team members, conducting code reviews and defining best practices.
  • Allocate work and break down technical tasks effectively.
  • Engage in system design and application/database development.
  • Ensure software assurance and quality through component, integration, and system testing.
  • Document design processes and maintain accurate project records.
    Qualifications/Experience:
    Essential:
  • A relevant degree in Computing/Engineering/Mathematics (STEM) and at least 8 years of software development experience.
  • Proven experience leading technical projects.
  • In-depth knowledge of system architecture, microservices, APIs, and cloud technologies.
  • Proficiency in one or more coding languages, including:
    • Web Development: HTML/CSS/JS/React
    • ASP.Net C#
    • PHP
    • C#
    • Python
    • JavaScript
    • SQL
      Desirable:
  • Familiarity with UI/UX best practices and application deployment/maintenance.
  • Experience with relational and document/NoSQL databases.
  • Knowledge of Agile/DevOps methodologies and CI/CD pipelines.
  • Exposure to machine learning principles and tools (e.g., PyTorch, TensorFlow).
  • Understanding of cloud services (Azure, AWS, GCP) and technologies like Docker and Kubernetes.
  • Experience with version control systems (Git) and testing frameworks (Puppeteer, Jest).
    Personal Attributes:
  • Strong problem-solving skills and a proactive, can-do attitude.
  • Excellent communication skills, both written and oral.
  • Ability to adapt and lead through change in a fast-paced environment.
  • A self-starter with the capability to work independently and collaboratively.
    Benefits:
  • Private health care and sickness cover.
  • Salary sacrifice options.
  • A vibrant team culture that encourages professional development and personal growth

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.