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- Tasks: Lead a team to design and develop innovative AI applications using Python and cloud technologies.
- Company: Join a forward-thinking company driving AI innovation in a regulated environment.
- Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of AI.
- Why this job: Make a real impact by leading AI projects that enhance daily operations for thousands.
- Qualifications: Experience with Python, LLMs, and cloud tech; strong leadership and communication skills.
- Other info: Dynamic role with excellent growth potential and a focus on technical excellence.
The predicted salary is between 84000 - 126000 £ per year.
Are you an experienced engineer with hands-on expertise in Python, LLMs, and modern cloud technologies? We are looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.
About the Role
As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation. You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.
Key Responsibilities
- Build high-quality, scalable, maintainable Python-based applications.
- Develop and deploy AI-driven applications, including those using LLMs.
- Collaborate closely with product, design, and engineering teams.
- Contribute to solution design, architecture, and secure coding practices.
- Drive testing best practices and ensure repeatable, reliable deployments.
- Mentor and guide junior engineers; support ongoing capability development.
- Lead technical discussions, code reviews, and cross-functional collaboration.
- Influence decision-making and contribute to policy/standards.
- Support risk management, governance, and control requirements.
- Contribute to the organisation's Generative AI strategy as a subject matter expert.
- Analyse complex, multi-source data to inform design and decision-making.
- Communicate complex or sensitive information clearly to senior stakeholders.
Required Experience
- Python
- Working with Large Language Models (LLMs)
- Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
- Prompt optimisation and evaluation methodologies
- Strong communication skills, especially in cross-functional environments
- Mentoring, coaching, or guiding other engineers
AI Engineer in London employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AI-driven applications you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with Python and LLMs in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that align with our needs, especially around cloud technologies and mentoring. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to communicate your ideas and experiences. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, LLMs, and cloud technologies like AWS. Brush up on your knowledge of prompt optimisation and evaluation methodologies, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Lead Engineer, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've led teams or influenced technical direction in previous roles, and be ready to discuss your approach to fostering a culture of technical excellence.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with product, design, and engineering teams, think about past experiences where you successfully collaborated across different functions. Be ready to share how you communicated complex information clearly to stakeholders.
✨Emphasise Problem-Solving Skills
Expect to face questions that assess your analytical abilities, especially regarding complex data analysis. Prepare to discuss how you've approached problem-solving in the past, particularly in high-stakes or regulated environments.