Machine Learning Engineer - New Graduate

Jobright Ai — United Kingdom · Posted ~3 hours ago

Junior Full-time

Skills

Machine learning Python data pipelines model evaluation NLP Machine Learning

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Summary ✨ AI‑Generated

A machine learning engineering role involving model development, dataset preparation, evaluation pipelines, experimentation, and improving AI-powered features.

Highlights

Entry-level opportunity to work on machine learning systems, data pipelines, and AI-driven product improvements.

Description

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Machine Learning Engineer, New Grad, you will contribute to model development, data pipelines, evaluation systems, and machine-learning features across search and recommendations. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Develop and evaluate machine-learning models for search and recommendations • Prepare and analyze datasets for model training and evaluation • Build data and model evaluation pipelines • Experiment with ranking, classification, NLP, and personalization techniques • Monitor model quality and investigate performance issues • Collaborate with AI engineers, software engineers, data scientists, and product teams Qualification Required • Recent graduate or graduating soon in Machine Learning, Computer Science, Statistics, Mathematics, or a related field • Strong Python programming skills • Understanding of supervised learning, model evaluation, and statistics • Familiarity with NumPy, pandas, and scikit-learn or similar tools • Ability to work with data and communicate technical findings clearly • Ability to work remotely Preferred • Experience with PyTorch, TensorFlow, or deep learning • Familiarity with recommendation systems, search, ranking, or NLP • Experience with LLMs, embeddings, or retrieval systems • Knowledge of MLOps, model monitoring, or cloud platforms • Previous research, internship, or machine-learning project experience