Junior ML Engineer: Build Generative AI in Production

Methodfi; Greater London; On-site; GBP 35,000 - GBP 45,000; Full time

Job summary

A tech-driven AI company in Greater London is seeking a Junior Machine Learning Engineer to work on real-world AI applications. You will collaborate with engineers and researchers, gaining hands-on experience in model development and data processing. The ideal candidate is currently pursuing a degree in a relevant field and has solid Python skills. This role offers mentorship and the chance to contribute to innovative AI projects in a fast-paced environment.

Benefits

Hands-on experience in AI and machine learning

Mentorship from experienced engineers

Collaborative and innovative environment

Qualifications

• Currently pursuing a relevant degree in Computer Science or related field.
• Reliable Python coding skills.
• Knowledge of foundational deep learning concepts.
• Experience with data preprocessing and model evaluation.
• Familiarity with MLOps tools is a plus.
• Strong analytical skills in a collaborative environment.

Responsibilities

• Assist in training and evaluating machine learning models.
• Support data collection for model development.
• Conduct experiments to improve model accuracy.
• Develop large-scale generative models.
• Work with ML engineers to implement AI techniques.
• Stay updated with AI trends and contribute ideas.

Skills

Python coding skills

Deep learning concepts

Data preprocessing

Analytical skills

Education

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI

Tools

MLOps tools

Job description

A tech-driven AI company in Greater London is seeking a Junior Machine Learning Engineer to work on real-world AI applications. You will collaborate with engineers and researchers, gaining hands-on experience in model development and data processing. The ideal candidate is currently pursuing a degree in a relevant field and has solid Python skills. This role offers mentorship and the chance to contribute to innovative AI projects in a fast-paced environment.