Machine Learning Lead

Location
London
Salary
100000 - 115000 GBP Per Year
Contract type
Permanent
Published at
30th April, 2025
Job ref
1301
Chris Williams

Chris Williams

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Job Title: Machine Learning Lead

Location: London, United Kingdom (Hybrid)

Employment Type: Full-time, Permanent

Salary: £100,000 - £115,000 per annum

 

About the Company:

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

 

Role Overview:

We’re looking for a Machine Learning Lead to lead a high-performing team of data scientists and ML engineers. You will drive the development and deployment of ML models that optimise business processes, enhance customer experiences, and deliver measurable impact. As a leader, you will collaborate closely with product, engineering, and business teams to ensure seamless integration of AI solutions into 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 opportunities where AI/ML can drive business value and improve customer experience.

🔹Design, build, and optimise ML 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 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 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 high-performing ML teams.

🔹 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!

Apply today