At a Glance
- Tasks: Lead the development of cutting-edge AI products and scale intelligent systems.
- Company: Join a pioneering tech organisation focused on innovative AI solutions.
- Benefits: Competitive salary up to £200,000, options, and comprehensive benefits.
- Other info: Dynamic remote work environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI while working on impactful products used by millions.
- Qualifications: Experience in AI product engineering and strong Python skills required.
This is an exceptional opportunity for an AI Engineering Lead to join a cutting-edge technology organisation building intelligent, AI-native products that deliver highly adaptive and personalised user experiences at scale.
Our client is seeking a hands-on AI Engineering Lead who has built and owned AI products end-to-end within fast-moving, product-focused AI businesses, rather than traditional enterprise ML or research-led environments. The AI Engineering Lead will have led AI engineering within smaller AI-native organisations across areas such as LLMs, NLP, conversational AI, agentic workflows, and AI product platforms.
The AI Engineering Lead will take ownership of the architecture, development, and scaling of core AI systems powering real-time intelligent experiences, working closely with product, engineering, and leadership teams to deliver production-grade AI solutions from experimentation through to deployment and optimisation. As an AI Engineering Lead, you will remain deeply hands-on technically whilst shaping AI strategy, platform capability, and product direction.
Key Skills as AI Engineering Lead:
- Proven experience scaling AI products within AI-native or product-focused businesses.
- Expertise ideally across LLMs, NLP, Generative AI, RAG, and agentic workflows.
- Strong Python and software engineering experience within scalable distributed systems.
- Experience deploying and optimising production AI systems at scale.
- Strong understanding of AI evaluation, observability, and experimentation.
- Hands-on technical leadership within fast-paced, high-growth environments.
- Strong communication, collaboration, and commercial awareness.
This is a unique opportunity to help define and scale next-generation AI experiences within a highly innovative environment, working on products used by millions globally.
Important: Proven experience building and scaling production AI systems within product-focused environments is essential. Candidates must be comfortable operating in highly collaborative, fast-moving teams and contributing both strategically and hands-on technically.
AI Engineering Lead - Remote (UK) in Bolton employer: NST - Nova Source Technologies
Join a pioneering technology organisation that champions innovation and creativity, offering an exceptional work culture where collaboration and technical excellence thrive. As an AI Engineering Lead, you will benefit from a competitive salary of up to £200,000, alongside options and comprehensive benefits, all while working remotely in the UK. This role not only provides the opportunity for significant professional growth within a fast-paced environment but also allows you to shape the future of AI products that impact millions globally.
Contact Detail:
NST - Nova Source Technologies Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead - Remote (UK) in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and scalable systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and distributed systems knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us and contributing to our innovative AI products.
We think you need these skills to ace AI Engineering Lead - Remote (UK) in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with AI products, especially in fast-paced environments, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your background aligns with our mission. Share specific examples of your work with LLMs or scalable architecture to grab our attention!
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in Python, distributed systems, and AI product engineering. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at NST - Nova Source Technologies
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, NLP, and generative AI. Be ready to discuss specific projects where you've built or scaled AI products, as this will show your hands-on experience in a product-focused environment.
✨Showcase Your Technical Leadership
Prepare examples that highlight your technical leadership skills. Talk about how you've led teams in fast-paced settings, focusing on collaboration and communication. This will demonstrate your ability to guide others while still being deeply involved in the technical side.
✨Understand the Business Side
Familiarise yourself with the commercial aspects of AI product engineering. Be prepared to discuss how your work has contributed to business goals and user experiences. This shows that you can think strategically while also being hands-on.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI strategy and product direction. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.
