Lead Software Engineer

thisisnoa
Milton Keynes
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Software Engineer - Agentic AI/Machine Learning

Lead Software Engineer (Machine Learning)

Senior Machine Learning Engineer

Lead MLOps Engineer

Senior Software Engineer – Machine Learning

Director of Software Engineering: Observability & AIOps

This is a hybrid role – Wednesday / Thursday in Milton Keynes.


Our client is looking for an experienced Lead Developer with a strong background in building scalable PHP-based applications to join their team. This role involves leading one of their development teams that focuses on advancing their engagement platform. Their primary technologies include PHP, MySQL, Vue.js, and AWS.

The ideal candidate is a proactive and motivated individual who thrives in a fast-paced environment and has a strong aptitude for tackling complex technical challenges.


If you’re passionate about leading dynamic teams and pushing the boundaries of technology, we’d love to hear from you!

Key Responsibilities

  • Act as a team lead, managing the backlog and workload of the team, scoping requirements, peer review of code, providing feedback to the rest of the team.
  • Work closely with the product team to understand the vision and translate the vision into engineering product requirements that can be executed.
  • Support the team as a line manager, carrying out 1-1s, setting objectives, and ensuring career development via mentoring and coaching.
  • Represent the team in management and stakeholder meetings. Ensure best practices are kept, and suggest improvements to our development processes where you see gaps.
  • Investigate, test, and resolve technical problems, working closely with other engineers to deliver core product functionality.


Experience and Qualifications

  • 5+ years experience in a software development role using PHP
  • 2+ years of leadership/management experience, with a history of hiring and developing strong engineers.
  • Strong communication skills and ability to explain complex technical solutions simply to others
  • Experience with Cloud and DevOps technologies (AWS, Terraform, CI/CD etc.)
  • Interest or experience with big data, data analytics, AI and machine learning

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.