Junior Machine Learning Engineer (AI)

Location: London, United Kingdom; hybrid model with office attendance required for a minimum of 60% of working time over a 12-week period

Company

hirify.global is a European rail and coach booking platform serving millions of travellers through its mobile app, website, and B2B partner channels.

What you will do

• Work in cross-functional teams with data scientists, software engineers, data engineers, and product managers.
• Support the design and delivery of machine learning models and AI solutions with measurable business impact.
• Contribute across the ML lifecycle, including data exploration, feature engineering, model selection, and evaluation.
• Help shape data products using hirify.global’s extensive datasets.
• Contribute to tools, frameworks, and libraries that improve ML and AI delivery workflows.
• Participate in the AI and ML community, sharing knowledge and developing experimentation skills.

Requirements

• Working knowledge of Python and open-source data libraries such as Pandas, NumPy, or Scikit-learn.
• Background in Computer Science, Mathematics, Statistics, or a similar quantitative discipline.
• Exposure to building or supporting machine learning models or AI solutions through study, projects, or early-career experience.
• Interest in predictive modelling, classification, regression, optimisation, NLP, or recommendation systems.
• Curious, collaborative approach with strong communication skills and willingness to learn.
• Some exposure to Spark or similar data processing tools is helpful.

Nice to have

• Familiarity with DevOps or MLOps tools such as Docker, Terraform, or MLflow.
• Interest in agile ways of working and CI/CD practices.

Culture & Benefits

• Hybrid working with a 28-day work-from-abroad policy.
• Private healthcare and dental insurance.
• Share purchase plan, electric vehicle scheme, extra festive time off, and family-friendly benefits.
• Clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
• Inclusive and collaborative environment focused on learning, sustainability, and customer impact.