Machine Learning Engineering Manager, Financial Assistant

Cleo; Netherlands; In loco; EUR 180.000 - 204.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Health insurance

Mental health support

Sabbatical after four years

Learning & development platform

Pension contributions

Location-specific leave

Descrizione del lavoro

Cleo is building the world's first AI financial assistant that understands money and helps users manage it better. We are hiring an ML Engineering Manager to lead production ML models within the data science function and to guide LLM-driven conversations in the Financial Assistant feature.

You will manage ML engineers across squads, own the headcount plan, and drive hiring and team development to support our growth. This is a leadership role that blends management with hands-on ML work.

Competenze

• Extensive experience building and deploying machine learning models to production.
• Experience leading data science teams of engineers and researchers.
• Knowledge of LLMs, agent design, and modern NLP techniques.
• Ability to write production-quality Python code and stay hands-on when needed.

Mansioni

• Understand core problems faced by the Financial Assistant ML workstream and coordinate the function contributing to solutions.
• Identify opportunities for model and product improvements using Cleo’s user behavior data.
• Manage ML engineers across squads, coach and develop talent to meet roadmaps.
• Build and own the headcount plan, hiring strategy, and team development for growth.

Conoscenze

ML models

Team leadership

LLMs

Python

MLOps

Strumenti

Kubernetes

Docker

OpenSearch

Descrizione del lavoro

Most money apps talk at you. Cleo talks back

We're not building another finance app. We're building the world’s first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world’s relationship with money in the process. For everyone, whatever their background or balance.

The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.

We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.

Follow us on LinkedIn for new features and the occasional roast

Meet the team

Here at Cleo, we have ~45 ML engineers. They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users’ money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.

About The Role

We’re hiring an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You’ll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money.

This is a people management role: you’ll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area.

• Understand the core problems faced by the Financial Assistant team and coordinate the ML function’s contribution to solving them
• Find opportunities for model and product improvements in Cleo’s extensive customer behaviour datasets
• Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap
• Build out the headcount plan and own hiring and team development within your area to support growth

What We’re Looking For

• Extensive experience building and deploying machine learning models to production
• Experience managing and developing high-performing teams of data scientists and ML engineers
• A habit of 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 business impact
• Ability to write production-quality Python code, with a willingness to stay somewhat hands-on
• Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models
• Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly
• Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos
• Nice to have: experience using vector databases such as OpenSearch

What we offer

We offer benefits package built to support you in and out of work. Benefits vary by country and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.

For the full breakdown on what’s available in your location, visit our Candidate Hub.

What Matters

Cleo’s mission is to change the world’s relationship with money. We can’t do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.

We’re glad to make reasonable adjustments at any stage of the process. If there’s anything we can do to support you in showing us your best, please let your recruiter or one of the team know.

We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Compensation Range: £150K - £170K