Head of Engineering (Python)

Xcede Recruitment Solutions
London
11 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Machine Learning Engineer

Machine Learning Engineer

Head of Data Science

Machine Learning Engineer

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Head of Engineering - MedTech Start-Up

We are a London based AI MedTech start-up company leveraging computer vision to transform the medical industry. Our mission is to deliver innovative solutions that drive efficiency, accuracy, and scalability to save stakeholders at all levels, time and money.

Role Overview
As the Head of Engineering, you will lead a talented and dynamic engineering team to drive the development and delivery of world-class AI-powered solutions. This is a unique opportunity to shape the technical strategy of a fast-growing organisation, blending strategic leadership with hands-on technical contributions to ensure the success of our platform and solutions.

Key Responsibilities

  • Define and execute the engineering vision, ensuring alignment with the companys broader goals and objectives.
  • Lead, mentor, and grow a team of engineers across various disciplines, fostering a collaborative and high-performance culture.
  • Oversee the development lifecycle of core products, from ideation to deployment, ensuring scalability, security, and reliability.
  • Provide technical expertise, contributing to key architectural decisions and occasionally rolling up your sleeves to solve complex challenges.
  • Stay ahead of technological trends, identifying opportunities for innovation and ensuring our tech stack remains modern and competitive.
  • Partner with cross-functional teams, including product, data science, and operations, to deliver exceptional solutions to clients.
  • Establish and optimise engineering processes, tools, and best practices to enhance productivity and quality.

What Were Looking For

  • Proven track record as an engineering leader, ideally in a tech-forward, product-driven company.
  • Strong background in Python software development, architecture, and system design, with a preference for experience in AI, machine learning, or data-intensive platforms.
  • Demonstrated ability to inspire and guide engineering teams, with a focus on fostering a culture of innovation, collaboration, and accountability.
  • Hands-on approach to solving complex technical challenges and implementing practical, scalable solutions.
  • Excellent interpersonal skills, capable of articulating technical concepts to both technical and non-technical stakeholders.
  • Degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Why Join Us?
Be at the forefront of innovation in a high-growth industry.
Lead and shape the future of a talented engineering team.
Work on challenging and impactful projects that make a difference.
Enjoy a collaborative, flexible, and inclusive work environment.

J-18808-Ljbffr

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.

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.

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.