At a Glance
- Tasks: Lead a dynamic AI team and drive innovative projects in a hybrid work environment.
- Company: Join a forward-thinking organisation transitioning to an AI-native culture.
- Benefits: Enjoy flexible benefits, health perks, and a dedicated learning allowance.
- Other info: Be part of a mission-driven company with excellent career growth opportunities.
- Why this job: Make a real impact in AI while mentoring a talented team.
- Qualifications: Experience in managing technical teams and a background in AI/ML.
The predicted salary is between 80000 - 100000 £ per year.
London (Hybrid) – 2 days in the office – Competitive Salary + Benefits.
You will be joining our AI and Machine Learning team at a pivotal moment, as we transition to become an AI‑native organisation. We are introducing this role to lead the delivery of our AI roadmap and build a high performing Data Science and Engineering culture. Reporting to the Director of AI/ML, you will take ownership of people management and delivery across our technical team. You will manage a diverse group of Data Scientists, AI Engineers and AI Platform Engineers, ensuring they are supported and delivering value.
Responsibilities
- Manage, mentor and develop a cross‑functional team (Data Science, Engineering and Platform Engineering). You will be responsible for their career growth, performance management and building a coherent, collaborative team culture.
- Drive the transition of models from research into robust production systems, ensuring we balance speed of experimentation with engineering rigor.
- Play a key role in our AI infrastructure development by overseeing the delivery of reusable platform components that allow the wider organisation to adopt GenAI safely and efficiently.
- Partner closely with our Technical Leads, who focus on architecture and craft excellence and ensure the team has the resources and environment to execute that vision effectively.
- Define how we operate, managing the intersection between our central AI/ML team and the domain teams we support. You will also ensure our engineers and data scientists are supported in their on‑call rotations and that our production systems remain resilient.
Qualifications
- Proven experience building and managing high performing technical teams.
- A background in software engineering or AI/ML and can hold your own in technical discussions. You are familiar with our stack (Python, AWS, JavaScript, LLM frameworks) and understand the lifecycle of putting AI/ML models into production.
- Experience building or managing the build of reusable platform components or developer tools is highly valuable.
- Experienced in agile delivery and understand how to manage the unique uncertainty of AI projects. Able to unblock teams and keep stakeholders aligned on timelines and expectations.
Benefits
- Flexibility: We provide a benefit allowance you can tailor to your own life and family.
- Health: This includes private medical and dental, health assessments and access to a digital GP.
- Wealth: We offer life assurance, share schemes and financial coaching.
- Development: You get a dedicated annual learning allowance to help you level up.
- Lifestyle: We have electric car and cycle‑to‑work schemes, plus season ticket loans. We also have award‑winning parental leave policies, supporting you through big life moments.
Ready to join a mission that matters? We’d love to chat.
AI Engineering Manager in London employer: Funding Circle UK
Join us in London as an AI Engineering Manager and be part of a transformative journey towards becoming an AI-native organisation. We pride ourselves on fostering a collaborative and high-performing culture, offering tailored benefits, extensive career development opportunities, and a supportive environment that values work-life balance. With flexible working arrangements and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager 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 casual coffee chats. 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 projects, especially those related to AI/ML. This is your chance to demonstrate your expertise and passion, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering management. Think about how you would lead a team through challenges and drive innovation. Confidence is key!
✨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 genuinely interested in joining our mission.
We think you need these skills to ace AI Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineering Manager role. Highlight your experience in managing technical teams and any relevant projects you've led, especially those involving AI/ML.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of how you've driven team success and innovation in previous roles.
Showcase Your Technical Skills:Don’t shy away from mentioning your technical expertise! We want to see your familiarity with Python, AWS, and other tools mentioned in the job description. Include any relevant projects or achievements that demonstrate your capabilities.
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 shows us you’re keen on joining our mission!
How to prepare for a job interview at Funding Circle UK
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS, and LLM frameworks. Brush up on your knowledge of how these tools fit into the AI/ML lifecycle, as you’ll likely be asked to discuss them in detail.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing and mentoring technical teams. Think about specific situations where you’ve helped team members grow or resolved conflicts, as this role is all about building a collaborative culture.
✨Understand Agile Methodologies
Since the role involves agile delivery, be ready to discuss your experience with agile practices. Share how you’ve navigated uncertainty in AI projects and kept teams aligned on timelines and expectations.
✨Prepare for Technical Discussions
Expect to dive deep into technical discussions during the interview. Be prepared to explain how you would transition models from research to production, and think about the challenges you might face in doing so. This will show your understanding of the engineering rigor required in AI.
