ML Engineer

2 weeks ago


London, Greater London, United Kingdom Desia Full time
About usnWe 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.nBacked 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).nWe 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 worknThese are the values at the core of

DESIA:
nOpenness 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.nOwnership. 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.nCreativity and innovation. We recognize that great ideas can originate from anyone. We actively encourage and listen to innovative ideas from the entire team.nUser-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.nDiversity.

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.nDESIA 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 responsibilitiesnJoin us in the role of ML Engineer and play a crucial part in developing our AI-driven knowledge management product

Your responsibilities will include:


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

Skills and experiences

Must-havenSolid 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.nSkilled in deploying machine learning solutions to production.nStrong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.nYou 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.


PreferrednPractical experience with machine learning techniques for search and retrieval.nExperienced with foundational Language Models (SLM / LLMs) in production environments.nStrong NLP skills.nContribution to open source projects.nExperience in building Knowledge Graphs and in GNNs.


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

Compensation and benefitsnSalary depending on experience and skills (£50K-£75K)nPerformance bonusesnStock options and retirement plannMedical and dental insurance
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