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- Tasks: Design and implement cutting-edge AI/ML solutions for investment research and trading.
- Company: Join Selby Jennings, a top global recruitment firm in the finance sector.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a real impact in finance while working with the latest AI technologies.
- Qualifications: 4-10 years in AI/ML engineering; proficiency in Python, R, or Java required.
- Other info: Reach out via DM or email to learn more or apply!
The predicted salary is between 43200 - 72000 £ per year.
Job Description
AI/ML Engineer | Elite Hedge Fund
A leading hedge fund is seeking an AI/ML Engineer to design and implement advanced machine learning solutions that support investment research, trading, and infrastructure. This is a high-impact role in a fast-paced, data-driven environment.
Key Responsibilities:
- Build and deploy AI/ML tools to enhance investment decision-making and operational efficiency
- Identify and implement ML-driven improvements to internal processes and systems
- Collaborate with data, engineering, and investment teams to translate business needs into scalable solutions
- Optimize model performance and ensure alignment with strategic objectives
- Contribute to the development of a robust infrastructure for AI/ML applications
- Stay current with emerging technologies in AI, LLMs, and data infrastructure
Qualifications:
- 4-10 years of experience in AI/ML engineering, ideally in finance or tech
- Proficient in Python, R, or Java
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Strong grasp of algorithms, data structures, and statistical modeling
- Familiarity with cloud platforms (AWS, Azure, GCP) and LLM tools (LangChain, LlamaIndex, OpenAI API)
- Experience with vector databases or knowledge graphs is a plus
- Excellent communication and collaboration skills
- Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field
Interested candidates should reach out via DM or email [ethan.schlesinger@selbyjennings/com] to learn more or apply.
Company Description
By breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals.
We work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places.
From our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.
Company Description
Senior AI/ML Engineer (Hiring Immediately) employer: Rac
Contact Detail:
Rac Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer (Hiring Immediately)
✨Tip Number 1
Network with professionals in the finance and tech sectors. Attend industry conferences, webinars, or meetups where you can connect with AI/ML experts and recruiters. This can help you gain insights into the role and potentially get a referral.
✨Tip Number 2
Showcase your projects and contributions on platforms like GitHub or LinkedIn. Highlight any AI/ML tools you've built or optimised, especially those relevant to finance. This will demonstrate your hands-on experience and technical skills to potential employers.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, particularly in the financial sector. Follow relevant blogs, podcasts, and research papers. Being knowledgeable about emerging technologies can give you an edge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions related to AI/ML. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on algorithms and data structures that are crucial for this role.
We think you need these skills to ace Senior AI/ML Engineer (Hiring Immediately)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML engineering, particularly in finance or tech. Emphasise your proficiency in Python, R, or Java, and any experience with ML frameworks like TensorFlow or PyTorch.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the company's needs. Mention specific projects or achievements that demonstrate your ability to build and deploy AI/ML tools.
Showcase Relevant Projects: Include examples of past projects where you implemented machine learning solutions. Highlight your contributions to optimising model performance and any collaboration with cross-functional teams.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to emerging technologies in AI and LLMs. This shows your commitment to staying current in a fast-paced field.
How to prepare for a job interview at Rac
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, or Java in detail. Highlight specific projects where you've used ML frameworks like TensorFlow or PyTorch, and be ready to explain the algorithms and data structures you employed.
✨Understand the Financial Context
Since this role is within a hedge fund, it's crucial to demonstrate your understanding of how AI/ML can enhance investment decision-making. Familiarise yourself with financial concepts and be ready to discuss how your skills can directly impact trading and research.
✨Collaborative Mindset
Emphasise your ability to work with cross-functional teams. Prepare examples of past collaborations with data, engineering, or investment teams, showcasing how you translated business needs into scalable AI/ML solutions.
✨Stay Current with Emerging Technologies
Research the latest trends in AI and ML, particularly in finance. Be ready to discuss emerging technologies, such as LLMs and cloud platforms like AWS or Azure, and how they can be leveraged in the role you're applying for.
