Job Title: Machine Learning Manager
Location: London, United Kingdom (Hybrid)
Employment Type: Full-time, Permanent
Salary: £100,000 - £115,000 per annum

About the Company:

Our client is a rapidly growing fintech company that is transforming the financial sector through innovative AI-powered solutions. They specialise in providing data-driven insights, risk management tools, and automated financial services to clients across banking, payments, and investment sectors.

Role Overview:

We are seeking a highly skilled and motivated Machine Learning Manager to lead a dynamic team of data scientists and machine learning engineers. You will be responsible for driving the development and deployment of ML models that enhance business processes, improve customer experiences, and deliver measurable impact. As a leader, you will work closely with product, engineering, and business teams to ensure the seamless integration of AI solutions into the company's fintech products.

Key Responsibilities:

• Lead and mentor a team of machine learning engineers and data scientists.
• Foster a culture of innovation, collaboration, and continuous learning.
• Establish best practices for model development, deployment, and monitoring.
• Define and execute the company's machine learning strategy in line with business goals.
• Identify new opportunities where AI/ML can drive business value and improve customer experience.
• Design, build, and optimise machine learning models for predictive analytics.
• Collaborate with product managers, data engineers, and business stakeholders to align ML initiatives with business objectives.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Ensure the timely delivery of high-quality AI solutions.

Required Skills & Experience:

• Strong knowledge of machine learning algorithms, statistical modelling, and deep learning techniques.
• Hands-on experience with Python, SQL, PyTorch, Scikit-learn, and other ML frameworks.
• Proficiency in working with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
• Experience with model versioning, deployment, and monitoring in production environments.
• Proven experience managing and mentoring a high-performing ML team.
• Passion for staying ahead of ML trends and applying innovations to improve products.
• Strong analytical and problem-solving abilities with a results-oriented mindset.

If you're excited about driving innovation in machine learning and want to be part of a collaborative, fast-paced environment where your work makes a real difference, we'd love to hear from you.