At a Glance
- Tasks: Lead the design and development of scalable AI solutions using cutting-edge technologies.
- Company: Join a dynamic tech team focused on innovative AI solutions in Central London.
- Benefits: Enjoy a competitive salary, annual bonus, car allowance, and hybrid working model.
- Other info: Great opportunities for career progression and mentoring junior engineers.
- Why this job: Make a real impact by building AI systems that shape the future of technology.
- Qualifications: 4-6 years in software or AI engineering with strong Python skills required.
The predicted salary is between 60000 - 75000 £ per year.
We're hiring a Lead AI Engineer to join a growing technology team delivering enterprise-scale AI solutions across modern cloud platforms. This is a hands-on engineering role with leadership responsibility, focused on building and scaling AI-powered products and services using Generative AI, Agentic AI, and modern AI engineering practices.
You will work closely with engineering, platform, data, and product teams to design, develop, and deploy production-grade AI capabilities within a fast-paced delivery environment. This is primarily an internal-facing engineering role, so strong technical capability and collaboration skills are more important than consulting or client-facing experience.
The role:
- Design and build scalable AI and GenAI solutions within Azure cloud environments
- Develop intelligent workflows and agentic AI capabilities using modern orchestration frameworks
- Build and maintain AI services, APIs, and backend integrations
- Work closely with Data Engineers, Platform Engineers, Architects, and Product teams to deliver AI solutions into production
- Lead technical delivery across AI engineering initiatives
- Mentor and support junior engineers within the team
- Contribute to engineering standards, reusable patterns, and AI best practices
- Help shape scalable MLOps and AI deployment approaches
- Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation
Tech environment:
- Key technologies include: Python, Azure, Databricks, Generative AI / LLM frameworks, Agentic AI tooling and orchestration frameworks, LangChain / LangGraph, PyTorch and ML libraries, REST APIs, Docker and containerisation, CI/CD pipelines, Git-based development workflows
What we're looking for:
- 4-6 years' experience within Software Engineering, AI Engineering, or Machine Learning Engineering roles
- Strong hands-on Python engineering capability
- Experience building AI or machine learning solutions within production environments
- Strong understanding of Generative AI and modern AI engineering practices
- Exposure to Agentic AI frameworks or autonomous AI workflows
- Experience working with Azure and Databricks
- Good understanding of backend engineering and API development
- Experience collaborating across cross-functional engineering and product teams
- Ability to mentor or support junior engineers
- Strong communication and problem-solving skills
Package:
- Salary up to £75,000
- Annual bonus
- Full car allowance
- Hybrid working model
- Strong investment in AI engineering capability and tooling
- Opportunity to work on cutting-edge GenAI and Agentic AI initiatives
- Clear progression opportunities within a growing AI engineering function
This is an excellent opportunity for an engineer looking to build real-world AI systems at scale while working within a collaborative and technically strong engineering environment.
Lead AI Engineer in City of London employer: ANSON MCCADE
Join a forward-thinking technology team in Central London as a Lead AI Engineer, where you'll have the opportunity to work on cutting-edge AI solutions in a hybrid working environment. With a strong emphasis on employee growth, you will benefit from mentoring opportunities, a competitive salary of up to £75,000 plus bonuses, and a clear path for career progression within a collaborative culture that values innovation and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI engineering scene. Attend meetups, webinars, or tech conferences to meet potential employers and learn about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, Azure, or Generative AI. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to someone at the company via LinkedIn. A friendly message can go a long way in making you stand out from the crowd.
✨Tip Number 4
Keep it real with your interviews. Be prepared to discuss your technical skills and how you've collaborated with cross-functional teams. Show them you're not just a coder but a team player who can lead and mentor others!
We think you need these skills to ace Lead AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your hands-on Python engineering capability and any experience with Generative AI or Azure, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI engineering. Share specific examples of projects you've worked on that demonstrate your ability to design and build scalable AI solutions.
Showcase Collaboration Skills:Since this role involves working closely with various teams, emphasise your collaboration skills in your application. Mention any experiences where you’ve successfully partnered with data engineers or product teams.
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 this exciting opportunity in our growing technology team.
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, Azure, and Generative AI frameworks. Brush up on your knowledge of MLOps and how to build scalable AI solutions, as you’ll likely be asked to discuss your hands-on experience with these tools.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers and leading technical delivery, be prepared to share examples of how you've successfully led projects or teams in the past. Highlight your collaboration skills and how you’ve worked with cross-functional teams to deliver AI solutions.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to AI engineering. Use real-world examples to demonstrate your problem-solving abilities and how you approach building production-grade AI capabilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI initiatives, team dynamics, and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
