Ai Engineer / Machine Learning Engineer

£95 - 110k

Hybrid - 2 days in office

I am working with a pioneering fintech company dedicated to transforming the financial industry through cutting-edge technology and data-driven solutions. Their team is composed of passionate industry experts who are committed to innovation and excellence. They are seeking a talented AI and Time Series Forecasting Specialist to join our dynamic team and enhance our financial forecasting capabilities.

Key Responsibilities:

• Develop AI Models:Design and implement advanced AI models specifically tailored for financial data analysis and time series forecasting.
• Enhance NLP Capabilities:Utilize large language models (LLMs) to improve natural language processing functionalities within our financial platforms.
• Forecasting:Conduct sophisticated time series forecasting to predict market trends, customer behavior, and financial outcomes, providing actionable insights for our clients.
• Collaboration:Work closely with cross-functional teams, including data scientists, financial analysts, and software engineers, to integrate AI solutions seamlessly into our existing systems.
• Performance Monitoring:Continuously monitor and evaluate the performance of AI models, making data-driven enhancements to improve accuracy and reliability.
• Industry Innovation:Stay updated with the latest research and developments in AI, machine learning, and financial technologies to ensure our solutions remain at the forefront of the industry.

Qualifications:

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying AI models, with a strong focus on large language models (LLMs) and time series forecasting.
• Expertise in programming languages such as Python, R, and proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Deep understanding of financial data and the fintech industry, with the ability to translate complex data into meaningful insights.
• Strong problem-solving skills, attention to detail, and a proactive approach to identifying and addressing challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a dynamic and fast-paced environment.