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- Tasks: Design and build cutting-edge NLP systems for finance.
- Company: Join a dynamic Series A startup revolutionising financial infrastructure.
- Benefits: Enjoy a collaborative culture with opportunities for remote work and innovative tech.
- Why this job: Be part of a forward-thinking team making a real impact in the FinTech space.
- Qualifications: Strong Python skills and experience with LLMs and full-stack development required.
- Other info: Work with exciting tools like Langchain, FastAPI, and Docker.
The predicted salary is between 36000 - 60000 £ per year.
We are searching for a Machine Learning Researcher / Data Scientist to join a Series A startup on a mission to modernise outdated financial infrastructure! They are using cutting-edge tech to build smarter, faster systems that rethink how finance works from the ground up. This collaborative, forward-thinking team is building powerful, AI-driven solutions using open-source LLMs, replacing outdated systems with sleek, scalable tech within Asset Management.
They are now hiring a Machine Learning Engineer with a strong Python background and hands-on experience with LLMs, Langchain, and full-stack product development.
You’ll be:
- Designing & building production-grade NLP systems
- Integrating in-house and open-source models
- Collaborating with a cross-functional team of top engineers and product minds
- Working with tools e.g. Langchain, FastAPI, Docker, cloud platforms
Interested? Apply now!
Machine Learning Researcher employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and LLMs. Being able to discuss recent developments or breakthroughs in these areas during your interview can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Showcase your hands-on experience with relevant tools like Langchain and FastAPI. If you've worked on projects using these technologies, be prepared to discuss specific challenges you faced and how you overcame them, as this will highlight your practical skills.
✨Tip Number 3
Emphasise your collaborative skills. Since the role involves working with a cross-functional team, be ready to share examples of how you've successfully collaborated with engineers and product teams in the past to achieve common goals.
✨Tip Number 4
Research the company’s mission and values thoroughly. Understanding their approach to modernising financial infrastructure will allow you to align your answers with their goals, showing that you're not just a fit for the role but also for the company culture.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, LLMs, and any relevant projects. Use specific examples that demonstrate your skills in building NLP systems and working with tools like Langchain and FastAPI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for modernising financial infrastructure. Mention how your background aligns with the company's mission and how you can contribute to their innovative projects.
Showcase Relevant Projects: If you have worked on any projects related to machine learning or data science, include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with a cross-functional team, emphasise your ability to collaborate effectively. Provide examples of past teamwork experiences, especially in tech environments, to show you can thrive in a collaborative setting.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, LLMs, and Langchain in detail. Bring examples of past projects where you've designed or built NLP systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the startup's goals and how they aim to modernise financial infrastructure. Showing that you understand their mission and how your skills can contribute will impress the interviewers.
✨Prepare for Collaborative Scenarios
Since the role involves working with a cross-functional team, be ready to discuss how you’ve successfully collaborated with engineers and product teams in the past. Highlight your communication skills and teamwork experiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s technology stack, future projects, and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
