Python & ML Engineer

Python & Machine Learning Engineer
London, UK
£75,000 - £100,000 per annum
2-3 days on site

I am working with a dynamic tech company based in London, dedicated to pushing the boundaries of innovation. The development team is on a mission to deliver cutting-edge solutions that harness the power of data and machine learning.

Role Overview:

This role is ideal for someone who thrives in a collaborative environment and is eager to tackle challenges in classic machine learning approaches. You will work alongside a small team of 3-4 professionals, focusing on delivering end-to-end solutions.

Key Responsibilities:

• Develop and implement classic machine learning models for forecasting applications.
• Build and maintain FastAPI applications for seamless data integration and delivery.
• Align and interpret datasets to ensure consistency and accuracy in modelling.
• Collaborate with team members to deliver full-stack solutions, from data preprocessing to deployment.
• Participate in code reviews, sharing insights and best practices with the team.
• Ensure high-quality documentation of processes and methodologies.

Requirements:

• Experience in Python, with hands-on experience in machine learning frameworks.
• Strong understanding of classic ML approaches and their practical applications.
• Experience with FastAPI and developing APIs for data-driven applications.
• Ability to align and interpret datasets across different sources and formats.
• Proven track record of delivering full-stack solutions in a collaborative team environment.

If you’re ready to take the next step in your career and join a forward-thinking team, I want to hear from you! Please send your CV and best time to call to [email protected]

Python & Machine Learning Engineer
London, UK
£75,000 - £100,000 per annum
2-3 days on site

Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status.

Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants.

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