At a Glance
- Tasks: Lead a team to build and deploy impactful machine learning models for our innovative fintech app.
- Company: Join Cleo, a fast-growing unicorn transforming how people manage their money.
- Benefits: Competitive salary, equity options, and bi-annual reviews for your hard work.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
- Why this job: Shape the future of finance with cutting-edge technology and a passionate team.
- Qualifications: Extensive ML experience and proven leadership in data science teams.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Machine Learning Engineering Manager role at Cleo.
At Cleo, we are embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That is the future we are creating.
Cleo is a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2× year-over-year. This is a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We seek individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
You will join the existing data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience. You will build and deploy production models that developers will feed directly into the product. This position is essential in the expansion of both product and business. We are highly data-driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user.
You will be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature. You will be shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money.
What You’ll Be Doing:
- Understanding core problems faced by our Chat team and coordinating the ML function’s contribution to solving them.
- Finding opportunities for model and product improvements in Cleo's extensive datasets of customer behaviour.
- Responsible for people management of the ML engineers in your squads, coaching and developing them to deliver on the roadmap.
- Building out the headcount plan and 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.
- Keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design.
- Experience owning an ML roadmap, driving new ideas through to seeing business impact.
- Ability to write production quality Python code and a willingness to be somewhat hands-on.
Nice to haves:
- Domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models.
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner.
- Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos.
- Experience using vector databases such as OpenSearch.
The recruitment process:
- Interview with a Recruiter (30 mins)
- Interview with the Hiring Manager (30 mins)
- Technical Interview (30 mins)
- White-boarding session (60 mins)
- Technical Discussion (45 mins)
- Management Skills Interview (30 mins)
What do you get for all your hard work?
A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. Work at one of the fastest-growing tech startups, backed by top VC firms.
Machine Learning Engineering Manager employer: cleo
Cleo is an exceptional employer that prioritises the financial health of its users while fostering a collaborative and innovative work culture. With flexible hybrid working options and a competitive salary, employees are encouraged to grow through mentorship and cross-functional teamwork, making it a rewarding place for those passionate about machine learning and impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Cleo. A friendly chat can go a long way in getting your foot in the door. Plus, it shows you're genuinely interested in the company and its mission.
✨Tip Number 2
Prepare for those interviews! Research common questions for Machine Learning Engineering Managers and practice your responses. We want you to shine, so think about how your experience aligns with Cleo's goals and be ready to share specific examples.
✨Tip Number 3
Show off your passion for ML! During interviews, discuss recent projects or technologies you've explored. This not only highlights your expertise but also demonstrates your commitment to staying ahead in the field, which is super important for Cleo.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and serious about joining the Cleo team.
We think you need these skills to ace Machine Learning Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineering Manager role. Highlight your experience with ML models and team management, and don’t forget to sprinkle in some of that passion for making a difference that we value at Cleo!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your journey in machine learning, why you’re excited about Cleo’s mission, and how you can contribute to our growth. Keep it engaging and personal – we want to get to know the real you!
Showcase Your Projects:If you've worked on any interesting ML projects, make sure to showcase them! Whether it's a personal project or something from your previous job, we love seeing how you tackle complex challenges and drive impact.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at cleo
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and the latest trends, especially around LLMs. Cleo is looking for someone who can not only build models but also understand the core problems faced by their Chat team. Be ready to discuss your past projects and how they relate to the role.
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll be responsible for managing a team. Prepare examples of how you've successfully led teams in the past, focusing on coaching and developing talent. Highlight your experience in building headcount plans and driving team performance.
✨Communicate Clearly
Cleo values the ability to convey complex ideas to non-technical stakeholders. Practice explaining your technical work in simple terms. Think about how you can make your insights engaging and relatable, especially when discussing financial data and its implications.
✨Be Ready for Technical Challenges
Expect a technical interview that may include white-boarding sessions. Brush up on your Python coding skills and be prepared to solve problems on the spot. Familiarise yourself with tools like Kubernetes and Docker, as well as vector databases, to demonstrate your hands-on capabilities.
