Principal Software Engineer

Boultham
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Principal Machine Learning Engineer – Production Systems

Software Engineer, Applied Artificial Intelligence (AI)

Principal Data Scientist London, United Kingdom

Lead Software Engineer (Machine Learning)

Engineering Lead II - Machine Learning Platform

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.