Lead AI Engineer (UK Remote) in Newcastle upon Tyne
Lead AI Engineer (UK Remote)

Lead AI Engineer (UK Remote) in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 108000 - 180000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of cutting-edge AI systems and mentor a dynamic engineering team.
  • Company: Exciting AI startup with a remote-first culture and strong backing.
  • Benefits: Competitive salary, Apple devices, meaningful share options, and career growth.
  • Why this job: Make a real impact in AI while working with the latest technologies.
  • Qualifications: 5+ years in production engineering and experience with AI architecture.
  • Other info: Join a passionate team and enjoy flexible remote work opportunities.

The predicted salary is between 108000 - 180000 £ per year.

TalentCo are delighted to be working with an AI startup looking to hire a high-calibre Lead AI Engineer into their growing engineering team in the UK, having recently closed a significant seed funding round. This is a senior individual contributor hire and can be based remote-first anywhere in the UK, for this London HQ'd startup.

You will drive the technical evolution of the clients AI-first platform and serve as their resident AI expert. You will be a core software engineer architecting the complex systems that make AI useful in production, splitting your time between crafting complex AI processing architectures and hands-on data/backend engineering, with the rest spent doing whatever is needed to ship.

As Lead AI Engineer you will:

  • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart.
  • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails.
  • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback.
  • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality.
  • Strategically Advise: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimisation.

We want to hear from you if you bring:

  • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel).
  • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results.
  • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams.
  • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win.
  • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late.

What do they offer?

  • Base salary c£150k
  • Remote-first with occasional trips to the London HQ to see the team
  • Apple devices and the best AI tooling
  • Meaningful early-stage share opportunities
  • Career rocket fuel - real growth, real ownership, real impact

Lead AI Engineer (UK Remote) in Newcastle upon Tyne employer: TalentCo

Join a dynamic AI startup that champions innovation and collaboration, offering a remote-first work environment across the UK. With a competitive salary and meaningful share opportunities, you'll have the chance to drive impactful projects while mentoring a talented team. Experience a culture that values growth, creativity, and the pursuit of excellence in AI engineering.
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Contact Detail:

TalentCo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer (UK Remote) in Newcastle upon Tyne

✨Tip Number 1

Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving complex architectures and backend systems. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with Python, AI architecture, and how you’ve mentored others. We want to see your passion and pride in shipping!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.

We think you need these skills to ace Lead AI Engineer (UK Remote) in Newcastle upon Tyne

AI System Architecture
Python
FastAPI
SQLAlchemy
Data-Driven Optimisation
Machine Learning Models
Foundation Models
LLMs
Context Window Management
Prompting Strategies
Cloud Deployment (GCP/AWS)
Communication Skills
Team Collaboration
Scalable Code Development
Technical Debt Management

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! Share specific examples of projects you've worked on that demonstrate your skills and passion for the field. We love seeing candidates who are genuinely excited about what they do.

Tailor Your Application: Make sure to customise your application to highlight how your experience aligns with the Lead AI Engineer role. Use keywords from the job description and showcase relevant skills, especially in Python and AI architecture. This helps us see why you’re a perfect fit!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your experience and how it relates to the role. A well-structured application goes a long way!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at TalentCo

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI architectures and the specific technologies mentioned in the job description, like LLMs and RAG pipelines. Be ready to discuss your past experiences with these systems and how you've tackled complex problems using them.

✨Showcase Your Coding Skills

Since this role involves a lot of backend engineering in Python, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or walk through your previous projects. Practise coding challenges and be ready to explain your thought process.

✨Communicate Clearly

You’ll need to explain complex AI concepts to both technical and non-technical audiences. Practise breaking down your past projects into simple terms. This will show that you can mentor others and work well in cross-functional teams, which is key for this role.

✨Be Ready to Discuss Trade-offs

The job requires a pragmatic approach to coding and delivery. Prepare examples of when you've had to balance technical debt with delivery speed. Discuss how you prioritised features and made decisions that led to successful outcomes, demonstrating your strategic thinking.

Lead AI Engineer (UK Remote) in Newcastle upon Tyne
TalentCo
Location: Newcastle upon Tyne

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