{"id":2176934,"url":"https://alion.io/job/eneco-machine-learning-engineer-energy-management","title":"Machine Learning Engineer - Energy Management","company":{"id":1817445,"name":"Eneco","domain":"eneco.nl","url":"https://alion.io/company/eneco-nl","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rotterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Scala","optional":false}],"status":"live","first_seen_at":"2026-07-09T10:34:23Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-12T11:55:56Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":94},"description":"At Eneco, we are committed to accelerating the energy transition. Through our One Planet strategy, we aim to become climate neutral by 2035 - together with our customers.\nDigital technology and data play a key role in achieving this ambition. Within the Energy Management Systems domain, we develop reliable, scalable and intelligent data-driven solutions that support Eneco's digital products and services. As a Machine Learning Engineer, you will help bring machine learning solutions into production by building the platforms, tooling and engineering practices that enable models to deliver reliable business value.\nWorking closely with Data Scientists, Data Engineers and Software Engineers, you will build and operate production-grade machine learning solutions while helping shape the future of MLOps within Eneco.\nDesign, build and maintain end-to-end machine learning pipelines for training, validation and production inference in both batch and real-time environments.\nDevelop scalable MLOps capabilities, including CI/CD pipelines, automated testing, model versioning, deployment strategies, drift detection and rollback mechanisms.\nBuild and operate Databricks-based data processing and machine learning workflows at scale.\nManage MLflow for experiment tracking, model registry and reproducible machine learning deployments.\nDeploy, operate and optimize machine learning workloads on AWS while balancing performance, scalability and cost.\nDevelop scalable feature engineering pipelines, data contracts and feature stores, including Scala-based ETL pipelines where applicable.\nBuild monitoring, alerting and observability for production models, including model performance, latency, throughput, and data and model drift.\nWork closely with Data Scientists to productionize machine learning models, provide feedback on production constraints and continuously improve deployed solutions.\nPerform post-deployment analyses to evaluate and improve model performance and operational reliability.\nContribute to platform improvements, automation and MLOps best practices across the team.\nMentor fellow engineers and contribute to a strong engineering culture.\nBuild, deploy, and maintain end-to-end ML pipelines for training, validation, and production inference (batch and real-time)\nDesign and implement robust MLOps practices: CI/CD for models, model versioning, automated testing, drift detection, and rollback strategies.\nImplement and operate Databricks-based data processing and model training workflows at scale.\nIntegrate and manage MLflow for experiment tracking, model registry, and reproducible runs.\nDesign, deploy, and optimize ML workloads on AWS with cost and performance tradeoffs.\nDevelop and maintain data contracts, feature stores, and scalable feature engineering pipelines (including Scala-based ETL where applicable).\nBuild monitoring, alerting, and observability for model performance, latency, throughput, and data/label drift.\nCollaborate with data scientists to productionize models, provide feedback on model design for production constraints, and run post-deployment analyses.\nMentor engineers on MLOps best practices and contribute to team-wide tooling and automation.\nYou are passionate about building reliable production systems and enjoy bringing machine learning solutions into production. You combine strong software engineering skills with hands-on MLOps experience and thrive in multidisciplinary teams where engineering and data science come together.\n4+ years professional experience in ML engineering; 2+ years owning MLOps/production ML systems.\nHands-on experience with Databricks (notebooks, jobs, clusters) for large-scale data processing and model training.\nProduction experience with MLflow for experiment tracking and model registry.\nStrong AWS experience deploying and operating ML workloads.\nProficient in Scala for data processing/ETL on Spark; production-quality code and familiarity with JVM ecosystem.\nExperience building CI/CD for ML and containerized deployments (Docker, Kubernetes).\nPractical knowledge of model monitoring, A/B testing, canary deployments, and data/model drift detection.\nStrong software engineering fundamentals: testing, design patterns, code reviews, and documentation.\nExcellent communication and collaboration skills.\nYou will join a multidisciplinary team of Machine Learning Engineers, Data Scientists, Data Engineers and Data Analysts within the Energy Management Systems domain. Together, you develop, deploy and operate machine learning solutions that support Eneco's digital products and services.\nOur team values collaboration, ownership and continuous learning. We encourage experimentation, knowledge sharing and continuous improvement while building reliable, scalable machine learning solutions that contribute to Eneco's ambition to accelerate the energy transition.\nContact our recuiter at: \nBuild production-grade machine learning solutions using Databricks, MLflow, AWS and modern MLOps practices.\n\nOwn the complete machine learning lifecycle, from scalable data processing and model training to production deployment and monitoring.\n\nCollaborate in a multidisciplinary engineering team where Machine Learning Engineers, Data Scientists and Data Engineers build reliable, scalable AI solutions together.","description_format":"text","description_chars":5321,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Management"],"lifecycle":[{"event":"open","at":"2026-10-09T14:13:00Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.444,"p_room":0.28,"age_days":94,"expected_fill_days":36,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/eneco-machine-learning-engineer-energy-management","json_url":"https://alion.io/job/eneco-machine-learning-engineer-energy-management.json","meta":{"generated_at":"2026-10-12T16:27:36Z","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":26311,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1817445},"rest":"https://alion.io/mcp/rest/get_company?id=1817445"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feneco-machine-learning-engineer-energy-management"},{"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%2Feneco-machine-learning-engineer-energy-management"},{"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%2Feneco-machine-learning-engineer-energy-management"},{"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/eneco-machine-learning-engineer-energy-management\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feneco-machine-learning-engineer-energy-management"}]}