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- Tasks: Lead the design and implementation of cutting-edge AI solutions for diverse clients.
- Company: Join Glue Reply, a leader in innovative AI architecture and transformation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of AI while making a real impact on client success.
- Qualifications: BSc in STEM, 3+ years in software engineering, and strong AI/ML experience.
- Other info: Embrace diversity and enjoy a collaborative environment with excellent career prospects.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Glue Reply is the outcome-focused Architecture specialist within the Reply Group. Through services encompassing Business Change/Transformation, Strategy & Architecture, Data exploitation and Integration, Glue Reply can help its clients succeed by turning strategy into tangible solutions and vision into practical outcomes. Glue Reply diagnoses the challenges and advises on the way to make real impact – enabling its clients to deliver.
As an AI Engineering Lead, you will own the technical vision and oversee the engineering delivery of AI solutions for clients. You will be instrumental in establishing and scaling AI capabilities by defining standards, leading research and experimentation, and building reusable, production‑grade systems. This role requires both strong technical leadership and hands‑on involvement in architecture, coding, and deployment, empowering your team to deliver impactful solutions. The ideal candidate has a robust background in software and ML engineering, with a passion for agent‑based systems, modern AI architectures, and real‑world AI applications.
Responsibilities:
- Lead the design and implementation of advanced AI solutions, including LLMs, agentic systems, and retrieval‑augmented pipelines.
- Design, deploy, and optimise scalable AI workloads on cloud platforms (AWS, GCP, Azure) for high performance and reliability.
- Define and enforce architectural standards, design patterns, and best practices for AI engineering.
- Build and optimise MLOps pipelines, CI/CD workflows, and infrastructure‑as‑code for production ML systems.
- Ensure reliability, observability, monitoring, and performance optimisation of deployed AI systems.
- Drive applied research and experimentation to explore and implement emerging AI architectures and techniques.
- Provide technical leadership, mentorship, and foster a collaborative culture within the AI engineering team.
- Build reusable components, frameworks, and internal tooling to enhance delivery speed and consistency.
About the Candidate:
- Minimum BSc (2.1 or higher) in Computer Science, Engineering, Mathematics, or related STEM field.
- 3+ years of hands‑on software engineering experience (Python preferred), with a proven record of delivering production‑grade AI/ML services.
- Practical experience designing and shipping LLM solutions using RAG/agentic patterns, orchestration frameworks (e.g., LangChain, LlamaIndex), vector search, and API integrations.
- Demonstrated ability to deploy and manage AI workloads on major cloud platforms (AWS, Azure, or GCP).
- Strong knowledge of DevOps/MLOps practices, including CI/CD, containerisation, and orchestration (Docker, Kubernetes).
- Experience leading and mentoring small‑to‑medium engineering teams, balancing technical delivery and team growth.
- Excellent problem‑solving and system design skills, with expertise in architecting scalable, distributed AI systems.
Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
AI ENGINEERING LEAD in London employer: Reply, Inc.
Contact Detail:
Reply, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI ENGINEERING LEAD in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. 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 LLMs or agentic systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with cloud platforms and MLOps practices. Practice common interview questions and scenarios related to AI engineering.
✨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 proactive about their job search. So, get that application in and let’s make some AI magic happen!
We think you need these skills to ace AI ENGINEERING LEAD in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your technical skills and experience in AI and ML. We want to see how you've tackled real-world problems and delivered impactful solutions, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the AI Engineering Lead role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This shows us you’re genuinely interested and have done your homework.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure your passion for AI shines through without overwhelming us with unnecessary details.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Reply, Inc.
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially around LLMs and agentic systems. Be ready to discuss your hands-on experience with these technologies and how you've implemented them in real-world applications.
✨Showcase Your Leadership Skills
As an AI Engineering Lead, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided teams in the past, focusing on collaboration and technical delivery.
✨Cloud Platforms Are Key
Familiarise yourself with AWS, GCP, and Azure, as you'll be expected to design and deploy scalable AI workloads. Be prepared to discuss specific projects where you've managed AI workloads on these platforms.
✨Talk About MLOps
Since MLOps is crucial for this role, be ready to dive into your experience with CI/CD, containerisation, and orchestration tools like Docker and Kubernetes. Highlight any pipelines you've built or optimised to show your practical knowledge.