Technical Lead

London
2 months ago
Applications closed

Related Jobs

View all jobs

Technical Intern

Technical Intern

Technical Intern

Technical Intern

Technical Intern

Technical Intern

Lead the AI Revolution: Technical Lead/Future CTO at a Thriving AI Startup! 🚀

Are you ready to shape the future of AI? Join our high-growth AI technology startup as a Technical Lead and be at the forefront of innovation. Drive cutting-edge projects, lead a talented development team, and play a pivotal role in shaping our product and business strategy. This hands-on role is your stepping stone to a future CTO position.

Technical Lead - AI Technology Startup - Remote (UK) up to ÂŁ130,000 DOE + Fantastic Benefits

The Role:

As our Technical Lead, you'll be the visionary behind our engineering excellence. Lead transformative projects, mentor a talented team, and ensure our solutions are scalable, reliable, and groundbreaking. Beyond coding, you'll shape our strategic tech direction, pioneering AI advancements that make a real impact. Collaborate with an experienced Data Science team working on the latest AI models the world has to offer - pure innovation at its best.

What You'll Do:

Lead with Vision: Design and oversee technical projects that align with business goals and revolutionise customer experiences.
Innovate: Develop and enhance our flagship AI product and future suite of products.
Team Leadership: Guide a dynamic team of Data Scientists and Machine Learning Engineers.
Collaborate: Work closely with Product and Stakeholders to define scope, timelines, and resources.
Set Standards: Write high-quality code, enforce robust coding standards, and drive technical excellence and strategy.
Empower: Foster a culture of collaboration and inclusivity, mentor team members, and attract top talent.

What You'll Bring:

Proven Leadership: Experience leading technical teams or senior software development roles with a knack for solving complex problems.
Product Engineering Mindset: Focus on the "why" behind the "what," prioritizing business impact in technical decisions.
Technical Skills: Expertise in Distributed Systems, Microservices, and REST APIs.
Programming Proficiency: Experience with Python and .NET.
Infrastructure as Code (IaC): Ideally, experience with Terraform and Bicep.
AI/ML Expertise: Desirable experience in AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, Databricks), large language models, predictive analytics, and advanced ML techniques.
Cloud Experience: Systems Architecture experience with Azure, AWS, or GCP.
Scaling Experience: Proven track record of scaling and empowering technical teams during significant growth phases.
Educational Background: Degree in Computer Science.

Our Tech Stack:

Cloud Platforms: Azure
Programming Languages: Python, .NET
Frameworks: PyTorch, JavaScript, container-based, and serverless architectures
DevOps & Monitoring: Azure DevOps, Docker, Kubernetes

This is a fantastic opportunity to lead in an innovative AI startup. If you're passionate about AI and meet the criteria, apply now and be part of the AI revolution! 🚀

🔗 Apply Today - Transform the future of AI technology! 🚀

To find out more about Computer Futures please visit

Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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.