{"id":3779744,"url":"https://alion.io/job/edreams-odigeo-ml-engineer-hybrid","title":"ML Engineer (Hybrid)","company":{"id":53729,"name":"eDreams ODIGEO","domain":"edreamsodigeo.com","url":"https://alion.io/company/edreams-odigeo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":95,"open_postings":31,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":253,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Jenkins","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-04T15:18:36Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T03:46:58Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":5},"description":"As you contemplate your future, you might be asking yourself, ” What’s the next step?’’ Start your journey with us!\n\nWe’re seeking an experienced ML Engineer to join our Data Science team in Barcelona (Hybrid) to design and develop solutions for training and serving ML models, and Agentic applications. Become a part of our team and help us build the best AI platform possible. As part of your role, you will also be responsible for spreading knowledge within the Data Science Organization and ensuring best practices.If you’re ready to soar, we’re ready to take you there.\n\nWhy eDreams ODIGEO\n\nJoin the world’s leading travel subscription platform.\n\nWe pioneered Prime, the first and world’s leading travel subscription programme since launching in 2017. \n\nMillions of Prime members every year across multiple markets.\n\n5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine Liligo\n\nThis entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.\n\nDiversity is our strength that’s why our eDOers are coming from different nationalities from all continents - 99% permanent contracts\n\nPrime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs-including hotels, rail, flights, dynamic packages and car rental, among others- compounded by industry-leading flexibility features and exclusive, member-only benefits. \n\nWhat you will do:\nThe Role’s Key Responsibilities and Tasks\nAs an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a ML Engineer in the Data Science team you will be in charge of:\n\nWork with the Data Science team to design and develop Machine Learning and AI solutions;\n\nParticipate in the design and implementation of our internal AI platform;\n\nStay up to date with the latest developments in Machine Learning, Artificial Intelligence, and MLOps;\n\nProvide internal users with training materials and communicate new developments;\n\nProviding guidance and advice, ensure best practices are followed across the data science organization.\n\nWhat you need to succeed: \nJob Requirements\n\nBring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed: \n\nDegree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Physics, or other quantitative areas);\n\n2+ years of related experience as a Machine Learning or Software engineer;\n\nExperience with Python, Java, C++ or any other object-oriented programming language. Javascript and / or frontend experience is a plus;\n\nOverall understanding of the process of creating machine learning models and their life cycle;\n\nKnowledge of best practices to automate software development and ML operations; CI-CD, testing, and monitoring. Experience with Jenkins desirable;\n\nFamiliarity with Agentic application development, and understanding of the general concepts. \n\nActively use AI as part of their day to day work. \n\nExperience developing REST APIs and scalable systems.\n\nExperience working in cloud platforms, distributed systems and Docker.\n\nFamiliarity with SQL databases;\n\nWritten and oral communication skills in English.\n\nPreferred Qualifications\n\nExperience with Applied AI Tools: Demonstrated comfort using practical AI tools such as Gemini, or other AI-powered assistants.\n\nExperimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into workflows.\n\nAI-Enhanced Problem Solving: Ability to effectively leverage AI tools to streamline processes, and enhance productivity.\n\nAdaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.\n\nWhat’s in it for you?\n\nThe best talent deserves the best benefits\nAt eDO, we want you to be a part of our success story and great culture.\nHere’s what we offer:\n\nA rewarding Compensation package! Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role-based selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle.\n\nContinuous learning to fuel your growth and explore new horizons! Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.\n\nGrow opportunities to empower your career, and unleash your potential! Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.\n\nYour Well-being is our priority. Embrace Freedom and Flexibility! At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You’ll be able to find the right work-personal life balance that suits you best.\n\nWork hard, party hard! We believe in having fun and connecting with colleagues! Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.\n\nEnjoy a dynamic and healthy environment! Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You’ll work in an Agile mindset environment with recognition at our core.\n\nWanna take a peek into what it’s like to work at eDO? Follow us on LinkedIn and discover more about life at eDO!\nIf you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.\nApply now!\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.","description_format":"text","description_chars":6658,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Travel Agencies","Travel Technology"],"lifecycle":[{"event":"open","at":"2026-11-05T00:28:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":5,"expected_fill_days":253,"reasons":["conf:3","win:early","comp:junior"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/edreams-odigeo-ml-engineer-hybrid","json_url":"https://alion.io/job/edreams-odigeo-ml-engineer-hybrid.json","meta":{"generated_at":"2026-11-10T08:00:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18577,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":53729},"rest":"https://alion.io/mcp/rest/get_company?id=53729"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fedreams-odigeo-ml-engineer-hybrid"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fedreams-odigeo-ml-engineer-hybrid"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fedreams-odigeo-ml-engineer-hybrid"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/edreams-odigeo-ml-engineer-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fedreams-odigeo-ml-engineer-hybrid"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3779744}},{"tool":"search_jobs","arguments":{"company":"edreamsodigeo.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3779744},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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