At a Glance
- Tasks: Design and build scalable AI solutions using cutting-edge technologies.
- Company: Join a growing tech team delivering enterprise-scale AI solutions.
- Benefits: Up to £75,000 salary, annual bonus, full car allowance, and hybrid working.
- Other info: Great career progression opportunities in a dynamic and innovative environment.
- Why this job: Make a real impact in AI engineering while collaborating with talented teams.
- Qualifications: 4-6 years in software or AI engineering with strong Python skills.
The predicted salary is between 60000 - 75000 £ per year.
Salary: Up to £75,000 + Bonus + Car Allowance
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'll 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 London employer: ANSON MCCADE
As a Lead AI Engineer in our Central London office, you'll be part of a dynamic technology team dedicated to delivering innovative AI solutions. We offer a hybrid working model, competitive salary with bonuses, and a strong focus on employee growth through mentorship and clear progression paths. Join us to work on cutting-edge projects in a collaborative environment that values technical excellence and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, Azure, or Generative AI. 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 brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and be ready to discuss your past projects and how you collaborated with teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements in these areas!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Collaboration Skills:Since this role involves working closely with various teams, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve contributed to group success!
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’s super easy – just follow the prompts!
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 AI deployment approaches, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to discuss your experience collaborating with cross-functional teams. Share specific examples of how you’ve successfully worked with Data Engineers, Product teams, or Architects to deliver AI solutions.
✨Prepare for Hands-On Challenges
Expect some practical assessments or coding challenges during the interview. Practice building scalable AI solutions or APIs beforehand, so you can demonstrate your hands-on engineering capability and problem-solving skills effectively.
✨Highlight Your Mentorship Experience
As a Lead AI Engineer, mentoring junior engineers is part of the role. Be ready to talk about any previous mentoring experiences you’ve had, and how you’ve supported others in their development. This shows your leadership potential and commitment to team growth.
