Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the delivery of scalable AI solutions that make a real business impact.
- Company: Global leader in loyalty and customer engagement with a dynamic culture.
- Benefits: Up to £110,000 salary, bonus, private health, and great pension.
- Other info: Flexible working options in a vibrant Central London office.
- Why this job: Be the technical authority in AI engineering and drive innovation.
- Qualifications: Proven experience in AI/ML pipelines and strong Python skills.
The predicted salary is between 110000 - 110000 £ per year.
We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact.
Responsibilities as a Principal AI Engineer:
- Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals.
- Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks.
- Mentor engineers in ML engineering, orchestration, and modern AI best practices.
- Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences.
- Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions.
Proven experience designing and productionising RAG pipelines and agentic AI architectures. Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality). Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems. TypeScript a plus; SQL proficiency for data work. Shows initiative, works independently, and brings fresh ideas.
This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real world impact on at a Global business, we’d love to hear from you.
Principal Software Engineer in London employer: Formula.
Contact Detail:
Formula. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Principal Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Principal AI Engineer role. Highlight your experience with AI/ML pipelines, cloud-native engineering, and any relevant projects you've led.
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 that demonstrate your technical authority and leadership in AI engineering.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies, especially in Python, SQL, and any orchestration tools you've used. We want to see your hands-on experience with AI systems and how you’ve tackled challenges in past projects.
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 people!
How to prepare for a job interview at Formula.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially around RAG pipelines and agentic architectures. Be ready to discuss your hands-on experience with these technologies and how you've implemented them in past projects.
✨Showcase Your Leadership Skills
As a Principal AI Engineer, you'll be expected to mentor others and lead projects. Prepare examples of how you've successfully guided teams or individuals in the past, and be ready to discuss your approach to fostering collaboration and innovation.
✨Communicate Clearly
You'll need to explain complex technical concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely, perhaps by explaining a recent project to a friend who isn't in tech. This will help you convey your ideas effectively during the interview.
✨Be Ready for Problem-Solving Questions
Expect some scenario-based questions that test your problem-solving skills. Think about challenges you've faced in previous roles, particularly around scaling AI solutions or optimising pipelines, and be prepared to walk through your thought process and solutions.