Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Engineering (Python)

Xcede Recruitment Solutions
London
9 months ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Junior Data Scientist

Staff Data Scientist

Staff Data Scientist

Principal Machine Learning Engineer

Executive Director / Principal Machine Learning Engineer

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.

Jobs

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.