At a Glance
- Tasks: Develop cutting-edge ML solutions for the finance sector and tackle complex challenges.
- Company: Eilla AI, a fast-paced startup redefining investment workflows with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Exciting opportunity to work with large language models and innovative financial applications.
- Why this job: Join a world-class team and make a real impact in the finance industry.
- Qualifications: 3+ years in Data Science/ML, proficiency in Python, and experience with deep learning libraries.
The predicted salary is between 60000 - 80000 £ per year.
About Us
Our mission at Eilla AI is to redefine one of the world's most complex workflows - the one of investors and investment bankers. We're developing a platform for mergers and acquisitions (M&A), venture capital (VC) and private equity (PE) professionals powered by large language models (LLMs) to seamlessly deliver accurate research and analysis. Recently fundraised and already working with leading financial institutions, we want to unlock efficiencies across every stage of the deal workflow in private markets. Join a world-class team with extensive AI and Finance experience on this exciting journey to reshape the future of the industry.
About You
If you:
- want to be an integral part of a fast-paced AI startup
- are self-motivated with a willingness to take ownership of tasks
- have a passion for shipping quality products
- are a team player – willing to do a variety of tasks that move the team forward
- like tackling complex problems and adapting to unexpected challenges
- are a culture builder with a strong sense of integrity
- are excited about developing cutting-edge ML solutions… and thrive on pushing boundaries and achieving ambitious goals, we’d love to hear from you.
Qualifications
- 3+ years of relevant Data Science/ ML experience at product-driven companies.
- Solid experience with deep learning libraries such as Transformers, PyTorch, TensorFlow, Jax, or Keras.
- Proficiency in Python, with a strong grasp of Git workflows & commitment to best coding practices.
- Ability to leverage cloud computing environments including distributed clusters and GPUs.
- Demonstrated ability to deploy ML applications using containerization technologies is a bonus.
Responsibilities
- Develop and refine scalable machine learning libraries tailored to the financial sector's needs.
- Write, document, and maintain modular code bases, ensuring quality and sustainability in collaboration with our engineering team.
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Design and implement machine learning models to parse and learn from diverse data sets, including but not limited to textual, tabular, and graph data, optimizing for the financial domain.
- Harness the capabilities of Large Language Models (LLMs) to create industry-specific solutions, from proof of concept to fully-fledged deployed applications.
Machine Learning Engineer (NLP) employer: Eilla AI
Eilla AI is an exceptional employer for Machine Learning Engineers, offering a dynamic and innovative work environment in the heart of the financial technology sector. With a strong focus on employee growth and collaboration, we provide opportunities to work alongside industry experts while developing cutting-edge AI solutions that redefine investment workflows. Our culture promotes integrity, creativity, and ownership, making it an ideal place for those eager to make a meaningful impact in a fast-paced startup atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to NLP. We love seeing practical applications of your work, so make sure to highlight any relevant experience that aligns with what Eilla AI is doing.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the financial sector. We recommend practicing common ML interview questions and being ready to discuss how your experience can contribute to Eilla AI's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who are excited about pushing boundaries in AI and finance.
We think you need these skills to ace Machine Learning Engineer (NLP)
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just ticking boxes but genuinely excited about the work we do at Eilla AI.
Tailor Your Experience:Make sure to highlight your relevant experience in data science and ML. We’re looking for specific examples of how you've tackled complex problems and shipped quality products, so don’t hold back!
Keep It Clear and Concise:We appreciate clarity! When you write your application, be straightforward and to the point. Use bullet points if it helps, and make sure your key achievements stand out. We want to get to know you quickly!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Eilla AI
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around NLP and the libraries mentioned like Transformers and PyTorch. Be ready to discuss your past projects and how you've tackled complex problems in the financial sector.
✨Showcase Your Coding Skills
Since coding is a big part of the role, be prepared to demonstrate your Python skills. You might be asked to solve a problem on the spot or explain your Git workflow. Practise writing clean, modular code that adheres to best practices.
✨Understand the Financial Context
Familiarise yourself with the financial industry, particularly M&A, VC, and PE. Being able to relate your technical skills to real-world financial applications will show that you understand the company's mission and can contribute effectively.
✨Be Ready for Team Dynamics
Eilla AI values team players, so be prepared to discuss how you've collaborated with others in the past. Share examples of how you've taken ownership of tasks and contributed to a positive team culture, especially in fast-paced environments.
