We’re looking for a curious and ambitious Graduate AI Engineer to join our growing SaaS team based in Northampton. This is an excellent opportunity for a recent postgraduate to work hands‑on with real‑world AI and machine learning systems, contributing directly to intelligent, scalable software used by customers every day.
You’ll work closely with experienced engineers, data scientists, and product teams to design, build, and deploy AI‑driven features across our platform — from experimentation through to production.
Key Responsibilities
* Design, develop, and deploy machine learning and AI models within a SaaS environment
* Work with structured and unstructured data to build predictive and intelligent features
* Collaborate with software engineers to integrate models into production systems
* Evaluate, test, and improve model performance over time
* Contribute to data pipelines, model training workflows, and MLOps practices
* Stay up to date with the latest developments in AI, ML, and data science
* Document models, experiments, and technical decisions clearly
Requirements
* Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
* Strong foundations in machine learning, algorithms, and statistics
* Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit‑learn)
* Understanding of software engineering fundamentals and version control (e.g. Git)
* Ability to communicate technical ideas clearly to both technical and non‑technical stakeholders
* Right to work in the UK
Nice to Have
* Experience with cloud platforms (AWS, Azure, or GCP)
* Familiarity with data engineering tools or SQL
* Exposure to deploying models into production or MLOps concepts
* Internship, research, or project experience in applied AI
Working Arrangements
* Hybrid role: a mix of office‑based work in Northampton and remote working
* Collaborative, supportive engineering culture with strong mentoring
What We Offer
* Clear progression and learning pathway
* Opportunity to work on real production AI systems from day one
* Support for continued learning, conferences, and certifications
* Modern tech stack and a fast‑growing SaaS environment
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