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 tech teams and a background in AI/ML is essential.
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 employer: Funding Circle UK
Join us as an AI Engineering Manager in London, where you'll lead a dynamic team at the forefront of our transition to an AI-native organisation. We pride ourselves on a supportive work culture that fosters employee growth through tailored benefits, including flexible allowances, comprehensive health coverage, and dedicated learning opportunities. With a focus on collaboration and innovation, we ensure our employees thrive both personally and professionally in a hybrid work environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Machine Learning space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source AI tools, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for interviews by brushing up on both technical and managerial questions. You’ll need to demonstrate your ability to lead a diverse team while also being hands-on with AI/ML tech.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace AI Engineering Manager
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 managed projects in the past.
Showcase Your Technical Skills:Since this role involves a lot of technical discussions, don’t shy away from mentioning your familiarity with Python, AWS, and other relevant technologies. We want to see how you can contribute to our AI infrastructure development!
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 to put AI/ML models into production, as this will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed and mentored teams in the past. Highlight your experience in building a collaborative culture and how you’ve supported team members in their career growth. This is crucial for the role!
✨Understand Agile Methodologies
Familiarise yourself with agile delivery processes, especially in the context of AI projects. Be ready to discuss how you’ve navigated uncertainty in previous roles and how you can help unblock teams while keeping stakeholders aligned.
✨Prepare Questions for Them
Think of insightful questions to ask about their AI roadmap and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
