At a Glance
- Tasks: Lead the development of innovative AI products and scale intelligent systems.
- Company: Join a cutting-edge tech organisation focused on AI-native solutions.
- Benefits: Competitive salary up to £200,000, options, and great benefits.
- Other info: Work remotely and impact millions globally with your expertise.
- Why this job: Shape the future of AI with hands-on leadership in a dynamic environment.
- 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) 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 chance to shape the future of AI products but also fosters significant opportunities for personal and professional growth within a dynamic and supportive environment.
Contact Detail:
NST - Nova Source Technologies Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead - Remote (UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and scalable systems. We want to see your hands-on experience, so make it pop!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences with AI product engineering. We’re looking for someone who can dive deep into the nitty-gritty.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace AI Engineering Lead - Remote (UK)
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 for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us your story! Explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t shy away from diving into the technical details! We want to see your proficiency in Python, LLMs, and scalable architecture. Include relevant projects or systems you've worked on that demonstrate your ability to deliver production-grade AI solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
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 and technical leadership.
✨Showcase Your Technical Skills
Prepare to dive deep into your Python and software engineering expertise. Have examples ready that demonstrate your ability to deploy and optimise production AI systems, especially in scalable distributed environments.
✨Communicate Clearly
Since strong communication is key, practice explaining complex AI concepts in simple terms. This will help you connect with the interviewers and showcase your collaboration skills, which are crucial in fast-paced teams.
✨Be Ready for Strategy Discussions
Think about how you've shaped AI strategy in previous roles. Be prepared to discuss your vision for AI product direction and how you can contribute to the company's goals, showing that you're not just a techie but also a strategic thinker.
