At a Glance
- Tasks: Develop and refine machine learning libraries for the financial sector using cutting-edge technologies.
- Company: Eilla AI, a fast-paced startup redefining workflows in finance with AI.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a world-class team and make a real impact in the finance industry with AI.
- 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) in London employer: Eilla AI
Eilla AI is an exceptional employer for Machine Learning Engineers, offering a dynamic and innovative work environment where cutting-edge technology meets finance. With a strong focus on employee growth and collaboration, team members are encouraged to take ownership of their projects while contributing to a culture that values integrity and creativity. Located in a vibrant tech hub, Eilla AI provides unique opportunities to work alongside industry leaders, making a meaningful impact in the world of investment banking and private equity.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you tackle complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Eilla AI.
We think you need these skills to ace Machine Learning Engineer (NLP) in London
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 used deep learning libraries and Python in your previous roles, 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 submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Eilla AI
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around NLP and the libraries mentioned in the job description like Transformers and PyTorch. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some complex problems during the interview. Think of examples where you've faced unexpected challenges and how you adapted to overcome them. This will demonstrate your ability to think on your feet and your passion for tackling tough issues.
✨Communicate Clearly
Since you'll need to report and present findings, practice explaining your work in a clear and concise manner. Use simple language to describe complex ideas, and be prepared to answer questions about your thought process and decisions.
✨Emphasise Teamwork and Culture Fit
Eilla AI values team players who contribute to a positive culture. Be ready to share experiences where you've collaborated effectively with others and how you’ve contributed to building a strong team environment. Show that you're not just about individual success but also about lifting the whole team.
