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- Tasks: Lead AI engineering teams and shape the future of AI integration.
- Company: Leading organisation in innovative technology solutions.
- Benefits: Competitive salary, dynamic work environment, and professional growth opportunities.
- Other info: Exciting chance to work with cutting-edge technology and external providers.
- Why this job: Make a real impact on high-profile AI projects and collaborate with top talent.
- Qualifications: 5+ years leading AI teams and strong understanding of AI components.
The predicted salary is between 70000 - 90000 £ per year.
Location: Croydon (once per week in-office)
Duration: 6-12 months (initial)
Security Clearance: Active SC clearance required
Must have: 5+ years of unbroken UK residency
Our client, a leading organisation in innovative technology solutions, is hiring for a reputed client to support a critical AI-focused project. This is an exciting opportunity for a skilled Lead Engineer to shape the future of AI integration within complex systems.
What You'll Be Doing
- Providing technical leadership to engineering teams working on AI components, ensuring alignment with architecture and delivery plans.
- Overseeing technical design decisions, particularly around Large Language Models (LLMs), agentic AI logic, and related components, ensuring scalable and controlled integration.
- Collaborating with architects to translate high-level solution designs into detailed engineering approaches.
- Working with delivery managers to identify and manage technical risks, dependencies, and constraints.
- Reviewing design artefacts, integration plans, and testing strategies to provide assurance across workstreams.
- Ensuring AI components adhere to SDLC updates, including model validation, safety checks, and governance protocols.
- Engaging with external AI technology providers to clarify technical requirements and integration considerations.
- Supporting engineering teams in resolving complex technical challenges related to AI model behaviour, data flows, and system interfaces.
- Coaching developers and data engineers to maintain quality and consistency.
What You'll Bring
- Proven experience leading engineering teams in AI or related fields.
- Strong understanding of AI components such as LLMs, AI logic, and system integration.
- Ability to translate high-level designs into detailed technical approaches.
- Experience managing technical risks and dependencies within complex projects.
- Excellent collaboration skills with architects, delivery managers, and external providers.
- Knowledge of SDLC processes, model validation, safety, and governance standards.
- Effective coaching and mentoring abilities.
Nice To Have
- Experience working with external AI technology providers.
- Deep understanding of AI model behaviour, data flows, and system interfaces.
This is a fantastic chance to contribute to a high-profile project within a dynamic environment. If you meet the criteria and are ready to make an impact, we'd love to hear from you!
AI Lead Engineer in London employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get involved in relevant online communities and forums. Share your insights, ask questions, and engage with others in the AI space. This not only boosts your visibility but also helps you stay updated on industry trends.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge, especially around LLMs and AI logic. Practice explaining complex concepts in simple terms, as this will showcase your leadership skills and ability to communicate effectively.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Lead Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and engineering leadership. Use keywords from the job description to show that you’re a perfect fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this AI-focused project and how your skills align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with LLMs and system integration. Be specific about the projects you've worked on and the impact you’ve made in previous roles.
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 don’t miss any important updates!
How to prepare for a job interview at Experis UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Large Language Models and agentic AI logic. Be ready to discuss how you've applied these concepts in past projects, as this will show your technical expertise and leadership capabilities.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading engineering teams. Think about specific challenges you've faced and how you guided your team through them. This will demonstrate your ability to provide technical leadership effectively.
✨Understand the SDLC Inside Out
Familiarise yourself with the Software Development Life Cycle processes, especially around model validation and safety checks. Be prepared to discuss how you've ensured compliance with these standards in previous roles, as it’s crucial for the position.
✨Collaborate Like a Pro
Since collaboration is key, think of instances where you've worked closely with architects or delivery managers. Highlight how you managed technical risks and dependencies, as this will show your ability to work well within a team and contribute to project success.