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- Tasks: Join a dynamic team to develop cutting-edge machine learning solutions for a global hedge fund.
- Company: Be part of one of the world's largest hedge funds with a prestigious tech-driven environment.
- Benefits: Enjoy competitive salary, bonuses, personal development allowance, and a friendly office culture.
- Why this job: Make impactful contributions in AI while working in a flat, collaborative, and innovative setting.
- 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; regular social events included.
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 maia.ellis@oxfordknight.co.uk 020 3745 6539 linkedin.com/in/maia-ellis-38a577193 #J-18808-Ljbffr
Contact Detail:
Oxford Knight Recruiting Team
maia.ellis@oxfordknight.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Engineer- Tech-Driven Global Hedge Fund
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning. Being able to discuss recent developments or tools during your conversations will show your passion and commitment to the field.
✨Tip Number 2
Engage with the Python and machine learning community online. Participate in forums, attend webinars, or join relevant groups on platforms like LinkedIn. This can help you network with professionals in the industry and may lead to valuable connections.
✨Tip Number 3
Brush up on your Linux skills, as this is a core requirement for the role. Consider setting up a personal project that utilises Python libraries like numpy and pandas to demonstrate your proficiency and problem-solving abilities.
✨Tip Number 4
Showcase your collaborative skills by discussing any past experiences where you worked in agile teams. Highlight how you contributed to projects and how you adapted to feedback, as this aligns with the company's flat-structured, collaborative culture.
We think you need these skills to ace Python ML Engineer- Tech-Driven Global Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning tools. Emphasise any projects or roles where you've used numpy, scipy, pandas, or similar libraries, as well as your understanding of AI advancements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI engineering and your interest in financial markets. Mention specific examples of how you've collaborated in agile environments and how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving generative models or document search tools, be sure to include them in your application. This will demonstrate your hands-on experience and problem-solving skills.
Highlight Your Educational Background: Since the role requires a degree with high mathematical and computing content, ensure that your educational qualifications are clearly stated. Mention any relevant coursework or projects that align with the job requirements.
How to prepare for a job interview at Oxford Knight
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and machine learning during the interview. Discuss recent advancements in the field that excite you and how you stay updated with the latest tools and models.
✨Demonstrate Your Python Expertise
Be prepared to showcase your proficiency in Python, especially with libraries like numpy, scipy, and pandas. You might be asked to solve coding problems or discuss past projects where you utilised these tools.
✨Understand the Financial Markets
Since this role is within a hedge fund, having a solid understanding of financial markets will set you apart. Brush up on key concepts and be ready to discuss how machine learning can be applied in finance.
✨Emphasise Collaboration and Agile Methods
Highlight your experience with collaborative software engineering techniques and agile methodologies. Share examples of how you've worked effectively in teams to deliver projects, as this aligns with their flat-structured, no-attitude culture.
