{"id":142207,"url":"https://alion.io/job/adesso-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":3894169,"name":"adesso Netherlands","domain":"adesso.nl","url":"https://alion.io/company/adesso-nl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"D","score":48,"open_postings":22,"ghost_share":0.864,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Utrecht, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Informatica","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-06-16T12:22:14Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-17T08:54:52Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":122},"description":"Van experiment naar productie. Van model naar schaal.\nBen jij een MLOps Engineer die ervoor zorgt dat machine learning niet strandt in notebooks, maar betrouwbaar draait in productie?\nWil je organisaties helpen AI duurzaam, schaalbaar en beheersbaar te maken binnen sectoren als banking, insurance, energy en e-commerce?\nBij adesso zoeken we een Senior MLOps Engineer die techniek, overzicht en eigenaarschap combineert.\nJouw rol - van model naar productie\nAls Senior MLOps Engineer leid je trajecten waarin machine learning-modellen worden omgezet naar robuuste productie-oplossingen. Je ontwerpt en bouwt ML-architecturen, pipelines en CI/CD-processen die het volledige lifecycle-traject ondersteunen: van training en deployment tot monitoring en optimalisatie.\nJe begrijpt hoe cloudplatforms, data-infrastructuur en AI samenkomen en weet dit te vertalen naar oplossingen die werken in de praktijk. Met jouw technische diepgang en communicatieve kracht help je klanten vooruit en bouw je mee aan de verdere ontwikkeling van onze MLOps-proposities.\nWat je doet\nLeiden en realiseren van MLOps-projecten met focus op schaalbaarheid en betrouwbaarheid\n\nOntwerpen en implementeren van ML-architecturen en pipelines voor training, deployment, inference en monitoring\n\nInrichten en optimaliseren van CI/CD-processen voor machine learning\n\nAutomatiseren van ML-workflows op cloud- en dataplatforms zoals Azure, AWS, Databricks, Snowflake en Dataiku\n\nMonitoren en optimaliseren van modelperformance, kosten en stabiliteit in productie\n\nCoachen van collega’s en delen van best practices\n\nMeebouwen aan MLOps-services, proposities en duurzame klantrelaties\n\nRequirements\nWat jij meebrengt\nAfgeronde master in Data Science, Informatica of vergelijkbaar\n\nMinimaal 5 jaar ervaring met MLOps, Data Engineering of ML-productieomgevingen\n\nDiepgaande kennis van ML-architecturen, pipelines en deploymentstrategieën\n\nErvaring met containerisatie en orkestratie (Docker, Kubernetes)\n\nErvaring met CI/CD tooling toegepast op ML (GitHub Actions, GitLab CI/CD, Azure DevOps of Jenkins)\n\nErvaring met monitoring en observability, waaronder modeldrift en data quality\n\nBekend met orchestration tools zoals MLflow, Kubeflow Pipelines, Airflow of Prefect\n\nKennis van performance-optimalisatie zoals distributed training, GPU-scaling en modelcompressie\n\nErvaring met cloudplatforms (Azure, AWS) en ML-services zoals Azure ML of SageMaker\n\nBekend met dataplatforms zoals Databricks, Snowflake of Dataiku\n\nErvaring met Infrastructure as Code (Terraform, ARM of Bicep)\n\nSterke Python-skills en ervaring met PyTorch of TensorFlow\n\nBasiskennis van data engineering (ETL/ELT, streaming, Spark)\n\nBegrip van security, privacy en compliance binnen AI-toepassingen\n\nJe kunt complexe technische keuzes helder uitleggen aan business en stakeholders\n\nOndernemende mindset gericht op kwaliteit, continuïteit en klantwaarde\n\nWerken bij adesso\nBij adesso Nederland werk je in een compact en groeiend Data & AI-team. We combineren klantprojecten met productontwikkeling: van schaalbare ML-infrastructuur tot herbruikbare MLOps-bouwblokken.\nWe werken pragmatisch en resultaatgericht. Geen zware hiërarchie, wel korte lijnen, eigenaarschap en ruimte om te verbeteren.\nWat je van ons mag verwachten\nVast contract voor 32 tot 40 uur per week\n\n27 vakantiedagen en 4 studiedagen per jaar\n\n€3.600 persoonlijk ontwikkelbudget per jaar\n\nMobiliteitsregeling met leaseauto of OV-abonnement\n\nThuiswerkmogelijkheden en flexibele werktijden\n\nGoede pensioenregeling en aanvullende verzekeringen\n\nOpen cultuur met veel kennisdeling\n\nDoorgroeimogelijkheden in Nederland en internationaal (11.000+ collega’s in Europa)\n\nBij adesso draait cultuur om gedrag en samenwerking:\nONEadesso - samen sterker\n\nHands-on - pragmatisch en oplossingsgericht\n\nStraightforward - open en duidelijk\n\nOpen-minded - ruimte voor verschillen en ideeën\n\nKlaar voor je volgende stap?\nBen jij een Senior MLOps Engineer die AI-oplossingen schaalbaar en betrouwbaar wil maken in productie? Dan maken we graag kennis.","description_format":"text","description_chars":4028,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"German","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology"],"lifecycle":[{"event":"open","at":"2026-06-16T12:22:14Z"},{"event":"close","at":"2026-10-11T05:35:42Z"},{"event":"reopen","at":"2026-10-11T09:26:13Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.205,"p_room":0.28,"age_days":122,"expected_fill_days":22,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/adesso-senior-mlops-engineer","json_url":"https://alion.io/job/adesso-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-17T11:17:20Z","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":14716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":3894169},"rest":"https://alion.io/mcp/rest/get_company?id=3894169"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fadesso-senior-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%2Fadesso-senior-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%2Fadesso-senior-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/adesso-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fadesso-senior-mlops-engineer"}]}