{"id":1152507,"url":"https://alion.io/job/trainline-junior-machine-learning-engineer","title":"Junior Machine Learning Engineer","company":{"id":4051,"name":"Trainline","domain":"thetrainline.com","url":"https://alion.io/company/trainline","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-23T16:13:35Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T20:40:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About us\nAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.\nGreat journeys start with Trainline\nWe’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.\nOur job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.\nWe’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.\nIntroducing Machine Learning & AI at Trainline\nMachine learning and AI are at the core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day. Our ML models and AI solutions power critical aspects of our platform, including advanced search and recommendations across our mobile and web applications, pricing and routing optimisation, personalised experiences enhanced by agentic AI, data-driven marketing systems, and AI agents that improve customer support. Our machine learning teams own the complete delivery lifecycle from ideation to production, working closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline.\nWe are looking for a Junior Machine Learning Engineer to join a high-performing, deeply technical community of Machine Learning Engineers, Data Scientists and Data Engineers who tackle complex problems by combining Trainline's rich datasets with cutting-edge algorithms. You will be supported to grow your skills through hands-on project work, close collaboration with more experienced colleagues, and a genuine culture of learning and development, while contributing to large-scale production systems that make a real difference to millions of customers.\nIn this role as the Junior Machine Learning Engineer, you will...\nWork within cross-functional teams alongside data scientists, software engineers, data engineers and product managers\n\nSupport the design and delivery of machine learning models and AI solutions that contribute to measurable impact for Trainline\n\nGet involved across the machine learning delivery lifecycle, including data exploration, feature engineering, model selection and evaluation\n\nCollaborate with stakeholders to help shape data products that make good use of Trainline's extensive datasets\n\nContribute to the tools, frameworks and libraries that help accelerate our ML and AI delivery and improve our workflows\n\nTake part in our AI and ML community, sharing learning and building your experimentation skills alongside others\n\nWe'd love to hear from you if you have...\nA good working knowledge of Python, including open-source data libraries such as Pandas, NumPy or Scikit-learn\n\nA background in Computer Science, Mathematics, Statistics or a similar quantitative discipline, whether through study or practical experience\n\nSome exposure to building or supporting machine learning models or AI solutions, gained through study, projects or early career experience\n\nAn interest in areas such as predictive modelling, classification, regression, optimisation, NLP or recommendation systems\n\nA curious, collaborative approach and strong communication skills, with an eagerness to learn from others\n\nIt would be helpful if you have had some exposure to Spark or similar data processing tools\n\nYou may also have some familiarity with DevOps or MLOps tools such as Docker, Terraform or MLflow\n\nIdeally, you will have an interest in agile ways of working and CI/CD practices, though this is not essential\n\nMore information:\nEnjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.\nWe prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!\nWe're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.\nOur values represent the things that matter most to us and what we live and breathe everyday, in everything we do:\nThink Big - We're building the future of rail\n\nOwn It - We focus on every customer, partner and journey\n\nTravel Together - We're one team\n\nDo Good - We make a positive impact\n\nWe know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.\nInterested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!","description_format":"text","description_chars":5400,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Dental insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data & Analytics","Travel & Tourism"],"lifecycle":[{"event":"open","at":"2026-09-23T18:34:29Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":40,"reasons":["conf:0","velocity","win:early","comp:junior"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/trainline-junior-machine-learning-engineer","json_url":"https://alion.io/job/trainline-junior-machine-learning-engineer.json","meta":{"generated_at":"2026-09-24T21:26:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}