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For Companies At a Glance
- Tasks: Join a small, agile Machine Learning group to develop cutting-edge AI platforms.
- Company: Work with one of the world's largest hedge funds in a tech-driven environment.
- Benefits: Enjoy competitive salary, bonuses, personal development allowance, and a friendly team culture.
- Why this job: Make significant contributions to innovative solutions in a collaborative, no-attitude workplace.
- Qualifications: Passion for AI, strong Python skills, and a degree in a relevant field from a top-tier university.
- Other info: Experience with generative models and financial markets is a plus.
The predicted salary is between 43200 - 72000 £ per year.
The Client
One of the world’s largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, ‘no-attitude’ working environment, this is a great time to join as engineering is undergoing significant investment.
The Role
Looking for a keen AI enthusiast to join the small, agile Machine Learning group, where you will help facilitate the use of machine learning tools company-wide, in particular generative AI.
Your primary focus will be to develop a cutting-edge platform used by teams across the firm. Collaborating closely with these teams and individuals to deeply understand their needs, you’ll guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet requirements. Offering the opportunity to make significant contributions across the business, you’ll develop solutions to problems which until recently were considered impossible, or extremely difficult, to solve.
Their core systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they’re also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on.
Requirements
- Passion for AI engineering, someone who stays up to date with major advancements in AI tools and models
- Strong development knowledge of Python
- Experience of data analysis techniques, plus numpy, scipy, pandas, etc.
- Solid Linux platforms experience with various scripting languages
- Proponent of collaborative software engineering techniques and agile methods
- Degree with high mathematical and computing content – Computer Science, Mathematics, Engineering, Physics, etc. – from a top-tier university
- Keen interest & understanding of financial markets
Nice to have
- Prior experience of language processing techniques or toolkits such as NLTK
- Experience designing or utilizing document search tools
- Experience utilizing or fine-tuning generative models (e.g. large language models or diffusion-based models)
Benefits
- Competitive salary + generous bonuses
- Extra perks including a personal development allowance and sponsorship
- Central London office with a very smart, friendly tech team
- Flat-structured, transparent and collaborative environment, ‘no-attitude’ culture
- Regular social events, plus annual company trips and team offsites
Contact
To apply for this role, or for further information, please contact:
Maia Ellis
020 3745 6539
linkedin.com/in/maia-ellis-38a577193
#J-18808-Ljbffr
Python ML Engineer- Tech-Driven Global Hedge Fund employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Engineer- Tech-Driven Global Hedge Fund
✨Tip Number 1
Stay updated on the latest advancements in AI and machine learning. Follow relevant blogs, attend webinars, and participate in online communities to deepen your understanding and showcase your passion during interviews.
✨Tip Number 2
Familiarize yourself with the specific tools and libraries mentioned in the job description, such as numpy, scipy, pandas, and scikit-learn. Consider working on personal projects that utilize these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Network with professionals in the finance and tech sectors. Attend industry meetups or conferences to connect with individuals who work at hedge funds or in systematic trading, which could provide valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss your collaborative experiences and agile methodologies in detail. Be ready to share examples of how you've worked in teams to solve complex problems, as this aligns with the company's emphasis on a flat-structured and collaborative environment.
We think you need these skills to ace Python ML Engineer- Tech-Driven Global Hedge Fund
Some tips for your application 🫡
Highlight Your AI Passion: Make sure to express your enthusiasm for AI engineering in your cover letter. Mention any recent advancements in AI tools and models that excite you, showcasing your commitment to staying updated in the field.
Showcase Your Python Skills: In your CV, emphasize your strong development knowledge of Python. Include specific projects or experiences where you've utilized libraries like numpy, scipy, pandas, and scikit-learn to demonstrate your technical expertise.
Demonstrate Collaborative Experience: Since the role values collaborative software engineering techniques, provide examples in your application of how you've worked in agile teams. Highlight any experience you have in cross-functional collaboration to solve complex problems.
Connect with Financial Markets: If you have a keen interest or understanding of financial markets, make sure to mention it in your application. This could be through relevant coursework, personal projects, or professional experiences that relate to finance.
How to prepare for a job interview at Oxford Knight
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI engineering during the interview. Discuss recent advancements in AI tools and models that excite you, and how you stay updated with the latest trends in the field.
✨Demonstrate Your Python Expertise
Prepare to showcase your strong development knowledge of Python. Be ready to discuss specific projects where you've utilized libraries like numpy, scipy, and pandas, and how they contributed to your success in data analysis.
✨Highlight Collaborative Experience
Since the role emphasizes collaborative software engineering techniques, share examples of how you've worked in agile teams. Discuss your approach to understanding team needs and how you’ve guided them in leveraging technology effectively.
✨Understand Financial Markets
Familiarize yourself with basic concepts of financial markets, as this role requires a keen interest in the field. Be prepared to discuss how your technical skills can be applied to solve problems in finance, demonstrating your ability to bridge the gap between tech and finance.
