At a Glance
- Tasks: Lead innovative machine learning projects to enhance financial health through chatbots and data analysis.
- Company: Join Cleo, a fast-growing tech startup dedicated to empowering financial well-being with AI solutions.
- Benefits: Enjoy competitive pay, flexible work options, 25 days leave, and a month-long sabbatical after four years.
- Why this job: Be part of a mission-driven team that values creativity and collaboration in tackling real-world challenges.
- Qualifications: Proven experience in machine learning leadership, strong data science skills, and excellent communication abilities.
- Other info: Cleo promotes diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 111184 - 145088 £ per year.
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
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. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we’re looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users.
What you’ll be doing:
- Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it.
- Deploying these models into our production environments using our in-house ML platform.
- Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users’ financial health.
- Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood.
- Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques.
- Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs.
What you’ll need:
- Experience in industry machine learning roles as a technical leader or principal/staff engineer.
- Excellent knowledge of both Data Science (python, SQL) and production tools.
- A deep understanding of probability and statistics fundamentals.
- Top tier communication skills, to be able to partner with Product and Commercial Leaders.
- Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects.
Nice to have:
- Strong experience with additional programming languages, such as Java, Scala, C++.
What do you get for all your hard work?
- A competitive compensation package (base + equity) with bi-annual reviews. This position is a DS5 level and we can pay £111,184 - £145,088 p.a depending on experience.
- Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures.
- A clear progression plan.
- Flexibility: We work with everyone to make sure they have the balance they need to do their best work.
- Work where you work best. We’re a globally distributed team.
- Other benefits: 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo).
- 401k matching in the US and 6% employer-matched pension in the UK.
- Private Medical Insurance.
- 1 month paid sabbatical after 4 years at Cleo!
- Online courses & internal training to level up your skills.
- Regular socials and activities, online and in-person.
- Online mental health support via Spill.
Principal Machine Learning Engineer - Chat United Kingdom employer: Staatliche Hochschule für Musik und Darstellende Kunst Mannheim
Contact Detail:
Staatliche Hochschule für Musik und Darstellende Kunst Mannheim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer - Chat United Kingdom
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning techniques. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and commitment to staying at the forefront of the field.
✨Tip Number 2
Network with current or former employees of Cleo, especially those in technical roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to showcase your leadership experience in machine learning projects. Be ready to discuss specific examples where you've led a team or initiative, as this role requires strong technical leadership skills.
✨Tip Number 4
Engage with the community by contributing to open-source projects or writing about your experiences in machine learning. This not only builds your portfolio but also demonstrates your commitment to the field, which can set you apart from other candidates.
We think you need these skills to ace Principal Machine Learning Engineer - Chat United Kingdom
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills for the Principal Machine Learning Engineer position. Tailor your application to highlight your relevant experience in machine learning, data science, and technical leadership.
Showcase Your Experience: In your CV and cover letter, emphasise your industry experience in machine learning roles, particularly any leadership positions. Include specific examples of projects where you have trained models, deployed them, or worked cross-functionally with other teams.
Highlight Communication Skills: Since top-tier communication skills are essential for this role, make sure to demonstrate your ability to collaborate with various stakeholders. Mention any experiences where you successfully communicated complex technical concepts to non-technical audiences.
Include Contributions to the Field: If you have made industry-leading contributions, such as speaking at conferences, writing blogs, or contributing to open-source projects, be sure to include these in your application. This will help showcase your expertise and commitment to the field of machine learning.
How to prepare for a job interview at Staatliche Hochschule für Musik und Darstellende Kunst Mannheim
✨Showcase Your Technical Expertise
As a Principal Machine Learning Engineer, it's crucial to demonstrate your deep understanding of machine learning concepts and tools. Be prepared to discuss your experience with Python, SQL, and any other relevant programming languages, as well as specific projects where you've successfully deployed models in production.
✨Communicate Clearly and Effectively
Top-tier communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with product managers and other non-technical stakeholders. Use examples from your past experiences to illustrate how you've effectively communicated within cross-functional teams.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Think about challenges you've encountered in previous roles and how you approached them. Be ready to propose innovative solutions, especially those related to NLP and financial health, as this aligns with the company's mission.
✨Highlight Your Leadership Experience
As a principal engineer, you'll be expected to lead and mentor others. Share examples of how you've guided teams in adopting best practices or introduced new technologies. Discuss your contributions to the field, such as speaking at conferences or writing blogs, to showcase your thought leadership.