At a Glance
- Tasks: Design and build a cutting-edge Generative AI platform for real-world applications.
- Company: Join a forward-thinking tech company in London focused on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on creativity and collaboration.
- Why this job: Shape the future of AI while working on impactful projects at scale.
- Qualifications: Experience in cloud infrastructure, Kubernetes, and CI/CD automation.
The predicted salary is between 60000 - 80000 £ per year.
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.
What You’ll Be Doing
- Design and optimise scalable RAG pipelines and vector search systems
- Orchestrate multi-model AI services with a focus on latency, resilience and performance
- Productionise GenAI workflows and ensure they operate reliably under real usage
- Build and run AI services across AWS and Databricks
- Develop ingestion, embedding and retrieval pipelines
- Deploy containerised workloads via Kubernetes and Helm
- Implement Infrastructure-as-Code using Terraform
- Introduce end-to-end monitoring, tracing and alerting for AI workloads
- Improve inference and retrieval performance while reducing operational cost
- Establish fault-tolerant, scalable infrastructure patterns
- Embed security, evaluation and governance into the AI lifecycle
- Build CI/CD pipelines and automation to support continuous model deployment
- Create reusable platform components to accelerate future AI initiatives
Strong experience in:
- Cloud infrastructure engineering (AWS-focused environments)
- Kubernetes, containerisation, and distributed systems
- Terraform / Infrastructure-as-Code
- CI/CD, automation, and platform reliability
- Running production workloads with high availability requirements
Plus, experience with one or more of the following:
- MLOps or ML platform engineering
- RAG architectures, embeddings, or vector search
- Model serving, observability or performance optimisation
- Data / AI workflow orchestration in Databricks or similar ecosystems
Why Join?
- Work on real-world AI systems operating at scale
- Own platform design decisions and influence long-term architecture
- Blend modern DevOps practices with cutting-edge Generative AI use cases
- Be part of a growing, innovation-driven engineering environment
- Opportunity to define how AI is operationalised across multiple products
If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.
AI Platform Engineer with DevOps and MLOps Focus. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
At LilyLifestyle, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Platform Engineer in London, you'll have the unique opportunity to work on cutting-edge Generative AI systems while enjoying a supportive environment that prioritises employee growth and development. With a focus on real-world applications and a commitment to operational excellence, we empower our team members to take ownership of their projects and shape the future of AI technology.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer with DevOps and MLOps Focus. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry 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 projects, especially those related to AI and DevOps. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding and system design skills. We recommend doing mock interviews with friends or using platforms that simulate the interview experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Platform Engineer with DevOps and MLOps Focus. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Platform Engineer role. Highlight your experience with cloud infrastructure, Kubernetes, and any relevant MLOps projects to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a perfect fit for this role. Share specific examples of your work with scalable systems and production workloads to show us what you can bring to the table.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing real-world applications of your skills, especially in areas like RAG pipelines or CI/CD automation.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Kubernetes, and Terraform. Brush up on your knowledge of RAG architectures and MLOps practices, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building scalable AI platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you overcame obstacles.
✨Understand the Company’s Vision
Research LilyLifestyle and their approach to AI. Be ready to discuss how your skills can contribute to their goals, especially in transforming experimental models into production-ready services. This shows you’re not just interested in the role, but also in the company’s mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their future projects. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values.
