Graduate Machine Learning Engineer

Intellect Group; Northampton; Hybrid; GBP 35,000 - 40,000; Full time

Job summary

A fast-growing technology firm in Northampton is seeking a passionate Graduate Machine Learning Engineer to join their AI engineering team. The ideal candidate will have a Master's degree in a related field and experience with machine learning frameworks. This role offers a competitive salary, a collaborative environment, and opportunities for fast career progression within a cutting-edge technology landscape.

Benefits

Competitive graduate salary

Learning-focused environment

Mentorship from leading experts

Qualifications

• Master’s degree in Computer Science, Machine Learning, or related.
• Strong understanding of supervised/unsupervised learning and neural networks.
• Hands-on experience with modern ML frameworks.

Responsibilities

• Research and develop machine learning models for real-world applications.
• Collaborate with teams to integrate ML solutions into production systems.
• Conduct data preprocessing and model evaluation.

Skills

Machine Learning concepts

Problem-solving skills

Proficiency in Python

Understanding of statistics

Education

Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

NumPy

pandas

Job description

Job Title: Graduate Machine Learning Engineer

Location: Northampton, UK (Hybrid)

Employment Type: Full-Time

Salary: £35,000 - £40,000

About the Company

Intellect Group is proud to be partnering with a fast-growing technology start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications.

As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing intelligent systems and eager to contribute to real-world AI challenges.

The Role

This is an exciting opportunity for a highly motivated graduate to join a cutting‑edge AI engineering team. You’ll work alongside experienced data scientists, researchers, and software engineers to design, build, and deploy scalable ML models that drive impactful products.

The ideal candidate will combine strong technical foundations with creativity, curiosity, and a willingness to learn in a fast-paced environment.

Key Responsibilities

• Research, develop, and implement machine learning models for real-world applications.
• Collaborate with cross‑functional teams to integrate ML solutions into production systems.
• Conduct data preprocessing, feature engineering, and model evaluation using modern frameworks.
• Contribute to experimentation, prototyping, and optimization of AI algorithms.
• Stay up to date with the latest developments in ML/AI research and apply innovative techniques to product challenges.

Requirements

• Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.).
• Hands‑on experience with frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Proficiency in Python and familiarity with common data science libraries (NumPy, pandas, etc.).
• Solid grasp of statistics, linear algebra, and probability.
• Excellent problem‑solving skills and ability to communicate complex ideas clearly.

Desirable Skills

• Experience with deep learning architectures (CNNs, RNNs, Transformers).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Exposure to MLOps tools or pipeline automation.
• Previous internship or research experience in a related field.

What’s on Offer

• Competitive graduate salary and benefits package.
• A collaborative, learning‑focused environment.
• Opportunity to work with cutting‑edge technologies and real‑world AI applications.
• Fast career progression in a rapidly growing start‑up.
• Mentorship from industry‑leading engineers and researchers.