Graduate Machine Learning Engineer

Intellect Group; Packmoor; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A data consultancy is seeking a Graduate Machine Learning Engineer based in Oxford. This hybrid role offers an exciting opportunity for recent graduates to work on impactful projects, developing machine learning models and supporting the entire ML lifecycle. Successful candidates will have a relevant degree and programming skills in Python, along with a solid grasp of machine learning principles and tools. The position includes competitive salary and mentorship from industry experts.

Benefits

Competitive salary

Structured training

Mentorship from industry experts

Opportunity for impactful projects

Clear career progression

Qualifications

• A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related STEM field.
• Strong foundation in machine learning concepts, algorithms, and model development.
• Experience with Python and core ML libraries.

Responsibilities

• Develop, train, and evaluate machine learning models.
• Support the full ML lifecycle.
• Work with large datasets and modern data tooling.

Skills

Machine learning concepts

Python programming

Problem-solving

Collaboration

Version control (Git)

Education

Degree in Computer Science or related field

Tools

NumPy

Pandas

Scikit-Learn

TensorFlow

PyTorch

Cloud platforms (AWS, GCP, Azure)

Job description

Graduate Machine Learning Engineer

Location: Oxford (Hybrid)

Salary: £35,000 – £45,000

About the Role

Intellect Group is proud to be partnering with a renowned data consultancy based in Oxford, known for delivering cutting‑edge analytical solutions to clients across finance, healthcare, energy, and technology. We are seeking a passionate Graduate Machine Learning Engineer to join their growing ML & Data Science team.

This is an exceptional opportunity for a recent graduate looking to launch their career in an environment that values innovation, technical excellence, and continuous learning. You’ll work alongside experienced data scientists, ML engineers, and software developers to design, build, and deploy production‑grade machine learning models.

Key Responsibilities

• Develop, train, and evaluate machine learning models to solve real‑world business problems.
• Support the full ML lifecycle—from data exploration and feature engineering to deployment and monitoring.
• Work with large datasets using modern data tooling and cloud platforms.
• Implement scalable ML pipelines and contribute to automation and optimisation initiatives.
• Collaborate with cross‑functional teams to translate client requirements into technical solutions.
• Stay updated with the latest advancements in ML, AI, and data engineering practices.

About You

• A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related STEM field.
• Strong foundation in machine learning concepts, algorithms, and model development.
• Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit‑Learn, TensorFlow, PyTorch).
• Understanding of software engineering principles and version control (Git).
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Excellent problem‑solving abilities with a passion for turning data into insight.
• Strong communication skills and a collaborative mindset.

What’s on Offer

• Competitive salary between £35,000 and £45,000 depending on experience.
• Structured training and mentorship from industry experts.
• Opportunity to work on high‑impact, real‑world projects across multiple industries.
• Hybrid working environment with a modern Oxford office.
• Clear career progression within a rapidly growing consultancy.