ML Engineer in London

About us

We are a London-based startup transforming how financial professionals access and use data. We are building a system of intelligence empowered by AI-driven automation and analytics: a category-defining product that supercharges users to extract knowledge and put it to work.

Backed by top international venture funds and a stellar group of angel investors, we are a team of technologists and founders with experience building AI products (@Advent International) and scaling unicorns (@Scalapay).

We are currently looking for rock stars to join our core team. Together, we will build DESIA from the ground up and establish it as the global leader in financial intelligence.

How we work

These are the values at the core of DESIA:

• Openness and transparency. We're committed to building a transparent company where vision and strategy are shared openly. We believe in clear performance reviews and a culture encouraging feedback from all levels.
• Ownership. Our team structure is horizontal, promoting autonomy and ownership in every role. Each team member owns their domain and is empowered to lead and make decisions. Micromanagement is not welcome.
• Creativity and innovation. We recognize that great ideas can originate from anyone. We actively encourage and listen to innovative ideas from the entire team.
• User-centric. Our users are at the heart of everything we do. From concept to launch, every decision is made with the user in mind. We build our products to solve real problems, constantly measure our impact, and learn from user feedback to iterate and improve.
• Diversity. We are committed to creating an inclusive environment where everyone can thrive. We believe that embracing diverse thoughts and perspectives is what keeps us at the forefront of innovation.

DESIA operates remote-first, with the team working in GMT hours for synchronization. Our founding team works from an office in London, and while working there isn't mandatory, everyone is invited to join.

Your responsibilities

Join us in the role of ML Engineer and play a crucial part in developing our AI-driven knowledge management product. Your responsibilities will include:

• Contributing to the development of new generative AI features and addressing complex problems, such as multi-hop question answering and multi-agent orchestration.
• Enhancing AI models and infrastructure for better performance, scalability, and accuracy.
• Fine-tuning encoder and decoder models for various tasks.
• Working within a small, dynamic team that promotes maximum autonomy and encourages rapid innovation.
• Collaborating across various functions to identify business needs and customizing AI solutions to meet these requirements.
• Keeping up-to-date with the latest AI technologies and techniques to drive continuous innovation.
• Believe in the philosophy of self-managed teams and the DevOps mindset, which asserts "if you build it, you run it".

Skills and experiences

Must-have

• Solid computer sense and engineering skills. Machine learning and AI skills are layers on top of other core developer skills, so being a good software engineer is key.
• Skilled in deploying machine learning solutions to production.
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• You should be able to cooperate with other engineers, e.g., with the backend engineer for scaling and architecture, with the front-end engineer for user experience, and with the product designer for user requests and roadmap.

Preferred

• Practical experience with machine learning techniques for search and retrieval.
• Experienced with foundational Language Models (SLM / LLMs) in production environments.
• Strong NLP skills.
• Contribution to open source projects.
• Experience in building Knowledge Graphs and in GNNs.

Qualifications

• Holding a Master's degree in Computer Science or a related field or possessing similar practical experience.
• A minimum of 2 years experience in Python, with a strong foundation in machine learning principles.

Compensation and benefits

• Salary depending on experience and skills (£50K-£75K)
• Performance bonuses
• Stock options and retirement plan
• Medical and dental insurance