At a Glance
- Tasks: Lead a team to build and deploy impactful Machine Learning models for Payments & Lending.
- Company: Join Cleo, a fast-growing tech startup revolutionising financial well-being.
- Benefits: Generous salary, equity options, flexible work environment, and extensive benefits package.
- Other info: Enjoy 25 days annual leave, regular socials, and a focus on mental health support.
- Why this job: Make a real difference in people's financial lives while growing your career in a supportive culture.
- Qualifications: Proven experience in ML model deployment and team management, with strong coding skills.
The predicted salary is between 80000 - 100000 £ per year.
About Cleo
Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we’ve reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. Recently, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas.
The team
You’ll join the existing data science function here at Cleo; a thoughtful and collaborative team of dedicated data scientists, ML engineers, and analysts with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy production models that developers will feed directly into the product.
What you’ll be doing
- Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, retention, payment processing and more.
- Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour.
- Impacting Cleo’s bottom line through improving our lending eligibility and decisioning systems.
- You’ll be responsible for people management of the data scientists & ML engineers in your squads, coaching and developing them to deliver on the roadmap.
- You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth.
About you
- Extensive experience building and deploying Machine Learning models to production.
- Experience managing and developing high performing teams of data scientists and ML engineers.
- A proven track record of measuring business and user impact with techniques such as A/B testing.
- Ability to write production quality code in Python and SQL and a willingness to be somewhat hands on.
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner.
- Habits of keeping abreast of the latest research and experimenting productively with new technologies.
- Experience proactively influencing the ML roadmap, driving new ideas with a bias for impact.
Nice to haves
- Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers.
- Experience working with AWS technologies such as EC2, S3, Sagemaker.
- Strong domain knowledge in the credit risk and/or payments space.
What do you get for all your hard work?
- Salary banding can be seen here. You'll also have equity options.
- This role will be at the DS4-DS5 banding.
- Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures.
- Cleo is a culture of stepping up. We want, and expect you to grow and develop. That means trying new things, leading others, challenging the status quo and owning your impact. You’ll have our support in everything you do. But more importantly, you’ll have our trust.
- We treat you as humans first, employees second. Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks.
Other benefits include
- Generous pay increases for high performers and for high-growth team members.
- Equity top ups for team members getting promoted.
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo).
- 6% employer-matched pension in the UK.
- Performance reviews every 8 months.
- Private Medical Insurance via Vitality, dental cover, and life assurance.
- Enhanced parental leave.
- 1 month paid sabbatical after 4 years at Cleo.
- Regular socials and activities, online and in-person.
- We'll pay for your OpenAI subscription.
- Online mental health support via Spill.
- And many more!
Machine Learning Engineering Manager - Payments & Lending in London employer: Cleo AI
Cleo is an exceptional employer that prioritises the well-being and growth of its employees, offering a flexible work environment that allows for personal commitments while delivering impactful work in the financial technology sector. With a strong focus on professional development, generous benefits including equity options, and a culture that values trust and autonomy, Cleo empowers its team members to innovate and lead in their roles, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering Manager - Payments & Lending in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Cleo. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world impacts. Think about how your past work has influenced business outcomes and be prepared to share those stories with us.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Machine Learning Engineering Manager - Payments & Lending in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Machine Learning Engineering Manager role. Highlight your experience in building and deploying ML models, as well as your people management skills. We want to see how you can make an impact at Cleo!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and SQL, along with any experience you have with AWS or container orchestration. We love seeing candidates who can write production-quality code and are hands-on with their work.
Communicate Clearly:Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex findings in a simple and engaging way. Use examples from your past experiences to show how you've done this before.
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 the Cleo team!
How to prepare for a job interview at Cleo AI
✨Know Your Machine Learning Models
Make sure you can discuss your experience with building and deploying machine learning models in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact your models had on business outcomes.
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll be leading a team. Prepare examples of how you've managed and developed high-performing teams in the past. Highlight your coaching style and how you foster collaboration among data scientists and ML engineers.
✨Communicate Clearly with Non-Technical Stakeholders
Cleo values the ability to convey complex findings in an engaging manner. Practice explaining technical concepts in simple terms, as you’ll need to communicate effectively with stakeholders who may not have a technical background.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing recent research or technologies you've explored. Show that you're proactive about influencing the ML roadmap and driving impactful ideas, which aligns with Cleo's innovative culture.
