Machine Learning / Applied AI Engineer

Machine Learning / Applied AI Engineer

Reporting to: Engineering Manager

Office Environment: Hybrid (minimum two days per week in office)

Type: Full time, Permanent

SC Eligibility Required

Responsibilities

• Develop and Train ML Models: Design lightweight but production-minded machine learning pipelines for classification, regression, or prediction use cases.
• Operationalise Models: Package and deploy models as REST APIs or microservices (FastAPI, Flask, or equivalent).
• Leverage Applied AI & Foundation Models: Integrate and fine tune pretrained models (e.g., from Hugging Face or similar libraries) for text, tabular, or simple image tasks.
• Ensure Reproducibility & Quality: Track experiments, manage artifacts (models, metrics, parameters), and use ML best practices for versioning and reproducible results.
• Collaborate Across Disciplines: Work closely with data engineers and software developers to build scalable, maintainable end to end ML applications.
• Monitor and Improve Deployed Models: Collect performance metrics, identify drift, and support model lifecycle operations in partnership with the MLOps team.

Qualifications

• You have 2-5 years of experience in ML Engineering, Data Science, or Applied AI.
• Bachelor's or higher in Computer Science, Data Science, or a related field.
• You have strong programming skills in Python 3.8+.
• You're experienced in building and training models using scikit learn or similar ML frameworks.
• You have experience serving models via FastAPI / Flask or another web API tool.
• You have an understanding of model evaluation metrics and validation best practices.
• You have familiarity with typical ML lifecycle management (training evaluation inference retraining).
• You have hands on experience developing on CPU/GPU environments (local or cloud).

Equal Opportunities

We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger, both as people and as a business. All qualified applicants will be considered without regard to sex, sexual orientation, marital status, race, nationality, religion, disability, or age. We currently have an underrepresentation from women, BAME, disabilities and LGBTQ communities. As such, we particularly welcome applicants from these groups.