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Lead Software Engineer

thisisnoa
Milton Keynes
1 year ago
Applications closed

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Machine Learning Engineering Lead

Software Engineer - (Machine Learning Experience a plus) - hybrid

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

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