At a Glance
- Tasks: Design and build AI-powered solutions for a top global hedge fund.
- Company: Join a leading hedge fund with a cutting-edge AI team.
- Benefits: Competitive salary, performance bonuses, and exceptional benefits package.
- Other info: Dynamic work environment with opportunities for relocation and career growth.
- Why this job: Make a real impact in finance with innovative AI technologies.
- Qualifications: 5-10 years in AI, strong coding skills, and a passion for generative AI.
The predicted salary is between 60000 - 80000 £ per year.
Amazing opportunity to join the cutting-edge AI team at a top 10 Global Hedge Fund.
Role:
- Design and build robust and scalable AI-powered solutions and workflows for the business.
- Understand different investment teams' processes and identify opportunities for AI integration or workflow improvements.
- Develop best practices and standards for applied AI.
- Ensure your solutions are effective and create tangible value for the investment teams.
- Support, monitor, and continuously improve existing AI systems and applications.
- Identify opportunities to enhance the core AI platform and contribute to the shared libraries and frameworks.
Requirements:
- 5-10 years of professional experience implementing AI and machine learning systems in financial markets.
- Demonstrable modelling, agent development, and model training experience with high business impact, i.e. revenue generation or loss implications.
- Broad technical knowledge and a demonstrable passion for learning new technologies and their practical application to business problems.
- Demonstrable obsession with generative AI and a passion for staying current with the latest developments.
- A love for automation and continual improvement, with a track record of identifying high-value big-ticket automation opportunities.
- Exceptional interpersonal and communication skills, with a proven ability to build positive, collaborative relationships with both technical and non-technical colleagues.
- Exceptional and proven problem-solving and debugging skills.
- Excellent academic achievements in Computer Science, AI, and Machine Learning.
- Native level English language skills - verbal and written.
Technologies:
- Coding in Python / C# / Scala / Java / Go.
- Data storage and manipulation tools such as SQL, Pandas/Polars, Snowflake, Vector DBs.
- Generative AI libraries, frameworks and tools such as LangChain, Llamaindex, Aider, Claude Code.
- Best practices and approaches to model performance and benchmarking, including tools like MLFlow.
- Containerisation and orchestration technologies like Docker / Kubernetes / Helm / Flux.
- Data visualisation tools and notebooking tools such as Marimo / Jupyter.
- ETL/ELT technologies such as Airflow / Dagster / DBT.
Offered:
- World-class tech environment, culture and infrastructure, working on cutting-edge projects.
- Work on solutions with clear, direct business and team PnL impact.
- £150k to £250k base salary PA.
- Annual performance bonus 1x - 4x base salary.
- No expense spared benefits package.
- 4 days onsite + 1 day wfh.
- Relocation and visa available for 'Exceptional' candidates with direct experience.
Generative AI Engineer in London employer: Winston Fox
Join a leading global hedge fund renowned for its innovative approach to AI, where you'll work in a world-class tech environment that fosters collaboration and continuous learning. With a competitive salary and an exceptional benefits package, this role offers not only the chance to make a significant impact on investment strategies but also ample opportunities for professional growth in a dynamic and supportive culture. Experience the thrill of working on cutting-edge projects that directly influence business outcomes while enjoying a flexible work arrangement.
We think you need these skills to ace Generative AI Engineer in London
AI and Machine Learning Implementation
Generative AI Expertise
Modelling and Agent Development
Model Training Experience
Automation and Continuous Improvement
Interpersonal and Communication Skills
Problem-Solving and Debugging Skills
