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Machine Learning Engineer
1 month ago
Machine Learning Engineer – Global Leading Quantitative Trading Firm
Type: Full-Time
Location: London, UK
WFH: 3 Days working from home per month
Salary: Up to £200,000
Company:
I’m working with a leading quantitative research firm specializing in applying cutting-edge machine-learning techniques to financial markets. The internal high-performance teams are dedicated to pushing the boundaries of technology and research to deliver innovative solutions and gain a competitive edge.
Role:
Currently on the search for the next generation of Machine Learning Engineers, to work closely with cross-asset quantitative researchers, responsible for tackling complex and impactful machine learning problems. You will be instrumental in developing and deploying state-of-the-art models that drive the research and trading strategies.
They’re looking for an enthusiastic individual, who can hit the ground running and really focus on how machine learning can be used for trading efficiency while gaining valuable insight into how profiling custom machine learning architecture can be used to identify performance bottlenecks.
As a modern, cutting-edge trading house, they want enthusiastic go-getters, people who aren’t afraid to bring new ideas to the business, regardless of how it works out.
Key Responsibilities:
- Collaborate with quantitative researchers to design and implement advanced machine learning models.
- Develop scalable and efficient algorithms for data analysis and prediction.
- Optimize and improve existing machine learning frameworks and infrastructure.
- Stay up-to-date with the latest advancements in machine learning and integrate relevant techniques into our research pipeline.
- Contribute to the creation of proprietary datasets and feature engineering processes.
- Communicate findings and progress to both technical and non-technical stakeholders.
Required Skills:
- Master's or PhD in Computer Science, Machine Learning, Statistics, or a related field.
- 2+ years of commercial experience as a ‘Machine Learning Engineer’.
- Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn is desirable.
- Excellent problem-solving skills and attention to detail.
