AI Technical Lead

London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Artificial Intelligence (AI) Strategist

Head of Data Science & Applied AI

Head of Data Science & Applied AI New Remote, UK

Principal Data Scientist - Generative AI

Principal Data Scientist - Generative AI

Principal Data Scientist - Generative AI

AI Technical Lead, Full Stack Developer Background, Microsoft Stack, Business Stakeholder Management, Remote

AI Technical Lead required to work for a fast growing Enterprise business based in Central London. However, this will be a remote role and you may have the odd meeting in London, along with some global travel including America and Europe (all expenses paid).

This role will be working at the forefront of AI and we need this candidate to not only have the AI knowledge within a Microsoft Stack environment, but we need you have the hands on and proven AI experience. You will be evangelising AI, driving AI efficiencies, highlighting risks, adding quality and ultimately being the AI subject matter expert.

You will be leading meetings and facing off to key technology & business stakeholders, so we need a polished individual who is very engaging and not phased by this. We also need you to be an ex-developer as this is not only a leadership role within AI, but also a hands on one too.

This is going to be extremely hard work (but also cutting edge and exciting) where the stakeholders can be quite demanding. It will require out of hours calls, some weekend work and Global International Travel. We want someone with the mindset that almost nothing is too much trouble. Anyone who asks ‘how often will I be travelling’ or ‘how frequent will the calls be’, it is probably not the role for you! It is a case of doing what it takes to get the job done, along with doing it with ultimate leadership and precision. This is ‘give and take’ in the role too, and an understanding that people do have lives outside of the workplace. It is not as scary as the description, but the picture needs to be painted in this way in order to get the right character.

Read on for more details…

Role responsibilities:

  • Master’s degree in computer science, Data Science, or equivalent experience (nice to have)

  • 5+ year of experience as a developer on python, R, C#, JavaScript, SQL, PowerShell.

  • 2+ years of experience in AI/ML, with proven success in developing and deploying solutions.

  • Strong understanding of various AI techniques and their applicability to different business problems.

  • Excellent analytical and problem-solving skills with a hands-on approach.

  • Experience collaborating across diverse teams and driving projects to completion.

  • Effective communication and presentation skills to engage both technical and senior leadership.

  • Passion for innovation and ability to think creatively to push the boundaries of technology.

    This is a great opportunity and salary is dependent upon experience. Apply now for more details

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.