Head of AI/ML

PIPER MADDOX LIMITED
London
6 months ago
Applications closed

Related Jobs

View all jobs

Head of Artificial Intelligence – Smart Manufacturing

Head of Data Science & Applied AI

Head of Data Science & Applied AI New Remote, UK

Head of Artificial Intelligence – Smart Manufacturing

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

Head of Data Science

Head of AI/ML - Join Us in Shaping the Future of Robotics!

Are you ready to revolutionize the world of robotics as a Head of AI?

Do you want to join a growing visionary team thats redefining human-machine collaboration?

Step into a leadership role where your expertise in AI/ML will drive the development of humanoid robots that redefine human-machine collaboration.

We are on a mission to transform how humans and machines work together. Imagine a world where millions of humanoid robots take on tasks that are hazardous, monotonous, or simply undesirable, allowing people to focus on what truly matters.

Our vision is a future of abundance, where technology addresses labor shortages and creates new opportunities for well-being.

As Head of AI/ML, you will:

  1. Lead the design and development of AI/ML algorithms for perception, decision-making, control, and autonomous driving.
  2. Define and execute research roadmaps, establishing data pipelines to support cutting-edge AI/ML workflows.
  3. Integrate AI/ML capabilities into our humanoid platform, driving collaboration with cross-functional teams.
  4. Represent our technological advancements in industry forums and foster partnerships with academia and research institutions.
  5. Inspire and grow a talented AI/ML team, shaping the future of robotics through innovation and strategic leadership.

What Were Looking For:

  1. Proven experience in AI/ML, particularly within robotics, automation, or autonomous systems.
  2. Expertise in machine learning, deep learning, computer vision, NLP, and world model architectures (SLAM, CNN/DNN).
  3. Strong leadership skills with the ability to build and nurture high-performing teams.
  4. A strategic thinker with excellent communication skills, ready to drive impactful AI/ML initiatives.

Whats in It for You:

  1. Competitive salary + stock options.
  2. Flexible working hours and a dynamic start-up environment.
  3. Be part of a groundbreaking team shaping the future of robotics.

Offices in London, with relocation opportunities across Europe. Sponsorship can be provided.

Ready to make a difference? Apply now for immediate consideration.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.