National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Technical Lead

London
4 months ago
Applications closed

Related Jobs

View all jobs

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Staff / Lead Data Engineer

Staff / Lead Data Engineer

Staff / Lead Data Engineer

Principal Software Engineer

Tech Lead Manager, Machine Learning - Perception

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

National AI Awards 2025

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.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

🍪 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.