{"id":2769425,"url":"https://alion.io/job/seedtag-mlops-engineer","title":"MLops Engineer","company":{"id":53828,"name":"Seedtag","domain":"seedtag.com","url":"https://alion.io/company/seedtag","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Paris, France","Milan, Italy","Madrid, Spain","London, United Kingdom","Hamburg, Germany","Barcelona, Spain"],"countries":["FR","IT","ES","GB","DE"],"hiring_countries":["DE","FR","GB","BE","IT","NL","ES"],"hiring_countries_total":7,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Computer Vision","optional":true},{"name":"Embeddings","optional":true},{"name":"GCP","optional":true},{"name":"Go","optional":true},{"name":"Google Bigtable","optional":true},{"name":"Grafana","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"NLP","optional":true},{"name":"Prometheus","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-16T15:43:13Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T02:03:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We’re looking for an MLOps Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.\nWho We Are\nAt Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist.\nAs the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next.\nOur proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 500+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader.\nIf you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here.\nYour Challenge\nAs our MLOps Engineer, you will help scale and maintain the infrastructure behind Liz, Seedtag's contextual AI, ensuring reliable, efficient, and low-latency ML model deployment across the open web and CTV.\nYour main responsibilities will include:\nML Model Deployment: Deploy, maintain, and optimise ML models in production, ensuring performance, reliability, and latency standards.\n\nData Pipelines: Build and improve pipelines for dataset generation, model training, validation, and performance analysis.\n\nModel Observability: Implement monitoring, dashboards, drift detection, and alerting to ensure model quality and stability.\n\nMLOps Infrastructure: Improve CI/CD pipelines, model versioning, reproducibility, and infrastructure automation.\n\nPerformance & Cost Optimisation: Identify opportunities to reduce serving costs and improve efficiency without compromising model quality.\n\nAI Automation: Develop internal automations and agentic integrations to streamline ML workflows.\n\nCross-Functional Collaboration: Work closely with Data, Platform, and Backend teams to troubleshoot production issues and improve ML systems.\n\nOur Core Values\nOutcome over Output\nWe measure success by impact and value, not by volume of features or lines of code.\nFailure Is Allowed, Learning Is a Must\nExperimentation is key to innovation. We test early, iterate often, and learn fast.\nWe Are All Scouts\nWe take ownership and leave things better than we found them.\nWe Are Data-Driven\nData informs our decisions and helps us continuously improve our systems and results.\nTech Stack\nYou'll work with the technologies powering LizCore, our contextual AI infrastructure, supporting real-time ML model serving across the open web and CTV.\nOur stack includes:\nLanguages: Python, Go.\n\nCloud & Infrastructure: GCP, Vertex AI, Kubernetes, Terraform.\n\nMLOps & Monitoring: MLflow, Weights & Biases, Evidently, Prometheus, Grafana.\n\nData & Messaging: Kafka, Redis, Bigtable, MongoDB.\n\nAI & Machine Learning: NLP, embeddings, ranking models, MCP, agentic workflows.\n\nEngineering Practices: CI/CD, model versioning, automated testing, reproducibility.\n\nWhat You’ll Need to Succeed\n2-4 years of experience building, deploying, and maintaining ML systems in production.\n\nStrong Python skills, including APIs, asynchronous programming, testing, and clean architecture.\n\nHands-on experience with ML model development and production deployment.\n\nSolid understanding of MLOps practices, including CI/CD, model versioning, reproducibility, and monitoring.\n\nExperience with ML observability, including performance metrics, dashboards, and alerting.\n\nKnowledge of distributed systems, microservices, Kubernetes, and cloud infrastructure.\n\nStrong troubleshooting skills across models, data pipelines, APIs, and infrastructure.\n\nProactive, curious, and autonomous, with the ability to own technical components end to end.\n\nWhy Join Seedtag?\nA key moment of growth with real ownership and global impact.\n\nFlexible work model with 100% remote or hybrid options.\n(Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.)\n\nContinuous learning through a learning platform and optional language classes.\n\nA supportive, trust-based culture that values well-being.\n\nTeam activities, offsites, and opportunities to connect beyond work.\n\nAdditional Perks\nHome office setup budget up to €1,000\n\nPaid trips to our HQ in Madrid\n\nMacBook Pro M3\n\nReady to Join the Seedtag Adventure?\nAt Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.\nSend us your CV and let’s build the future of neuro-contextual advertising together.","description_format":"text","description_chars":4683,"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":[]},"benefits":["Apple Macbook","Continuous learning","Flexible schedule","Home office"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"France","iso":"FR","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Belgium","iso":"BE","kind":"country"},{"name":"Italy","iso":"IT","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Advertising"],"lifecycle":[{"event":"open","at":"2026-10-17T05:34:05Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":48,"reasons":["conf:0","win:early","comp:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/seedtag-mlops-engineer","json_url":"https://alion.io/job/seedtag-mlops-engineer.json","meta":{"generated_at":"2026-10-19T03:17:53Z","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":1825,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":53828},"rest":"https://alion.io/mcp/rest/get_company?id=53828"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fseedtag-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fseedtag-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fseedtag-mlops-engineer"},{"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/seedtag-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fseedtag-mlops-engineer"}]}