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

Nominate & Attend

Principal Software Engineer

ProBox Recruitment Ltd
Lincoln
3 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Developer

Head of Engineering

Principal Data Engineer

Principal Data Engineer...

Principal Data Engineer

Principal Machine Learning Engineer (London)

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 Principal 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/ReactASP.Net C#PHPC#PythonJavaScriptSQL

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.Company socials.Breakout areas with drinks and snacks.A vibrant team culture that encourages professional development and personal growth.

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 Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.