17 beste vacatures voor de functie van machine learning engineer in amsterdam, nh (nieuwe medewerkers gezocht)

Senior MLOPs
Elsevier —Amsterdam
- € 53.800 - € 89.900 per jaar
- Fulltime
- Azure
- Java
- Master
12 dagen
(Senior) Machine Learning Developer (Junie)
JetBrains —Amsterdam
- Engels
- Softwareontwikkeling
Research Engineer
Clever Recruiting —Amsterdam
- Master
- AI
Snel solliciteren
Senior Research Engineer (Based in Hong Kong)
Flow Traders —Amsterdam
- Informatica
- Azure
- Doctor
Snel solliciteren
Senior Machine Learning Engineer
Picnic —Amsterdam
- Informatica
- Master
- SQL
- Reiskostenvergoeding
Snel solliciteren
AI Engineer
Good Company —Amsterdam
- Online sollicitatie
- Hybride werken
- Azure
- Master
- AWS
- Flexibele werkuren
Medior/Senior AI Engineer | AI-platform | Startup
MatchMatters BV —Amsterdam
- € 4.500 - € 5.500 per maand
- Fulltime
- Azure
- Master
- Databases
- Reiskostenvergoeding
Snel solliciteren
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Amsterdam
- € 86.600 - € 127.400 per jaar
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
- Werk vanuit huis
- Mentale gezondheidszorgprogramma's
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Veneficus B.V. —Amsterdam
- € 3.250 - € 10.000 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- SQL
- Budget voor professionele ontwikkeling
Snel solliciteren
Hydraulic Design Engineer
HCME —Amsterdam Westpoort
- € 4.136 - € 6.807 per maand
- Fulltime
- Hybride werken
- Engels
- Master
- Bachelor
- Flexibele werkuren
Snel solliciteren
AI/Data Engineer | Dutch Speaker | Netherlands
Acquism SARL —Amstelveen noord
- Azure
- SQL
- AI
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Amsterdam
- Microsoft Powerpoint
- Microsoft Excel
- Informatica
Senior AI / ML Engineer (MLOps & ML Platform)
Acquism SARL —Amsterdam Centrum
- Azure
- DevOps
- SQL
Chapter Lead LLM / Agentic Expert
ARNVIND GROUP —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Doctor
- Informatica
Snel solliciteren
Director Applied Science ADAS
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Doctor
- Informatica
- C++
- Budget voor professionele ontwikkeling
Snel solliciteren
Manager Data Science
RELX —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren

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Senior MLOPs

Elsevier -
Amsterdam

Nu solliciteren

Vacaturegegevens

Fulltime
€ 53.800 - € 89.900 per jaar
12 dagen geleden

Kwalificaties

TensorFlow
CI/CD
Elasticsearch
Azure
PyTorch
Spark
Java
Master
AWS
Scala
Neo4j
Solr
Graph databases
Python

Volledige vacaturetekst

Senior MLops

Location: Amsterdam

About our Team

Data Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium.

About Role:

Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.

Key Responsibilities

ML & LLM Engineering, Search and Recommendation Engines

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)
Maintain and version model registries and artifact stores to ensure reproducibility and governance
Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.
Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML.
End-end custom Sagemaker pipelines for recommendation systems
Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted
Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs
Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing.
Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization
Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems

Collaboration

Partner with Data Scientists, Engineers, Subject Matter Experts, Product Managers, and Responsible AI experts to support translate business problems into cutting edge data science solutions
Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

Required Qualifications

5+ years in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.
Strong Python, Java, and/or Scala engineering
Experience with statistical analysis, machine learning theory and natural language processing
Hands on experience with major cloud vendor solutions (AWS, Azure and/or Google)
Search/vector/graph technologies (e.g., Elasticsearch/OpenSearch/Solr//Neo4j).
Experience in evaluating LLM models
Background with scholarly publishing workflows, bibliometrics, or citation graphs
A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics
Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark
Experience with large scale data processing systems, e.g., Spark

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

About the business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €53,800 - €89,900. This role is covered by the Collective Labor Agreement Publishing Industry.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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machine learning engineer vacatures in amsterdam, nh

Senior MLOPs

(Senior) Machine Learning Developer (Junie)

Research Engineer

Senior Research Engineer (Based in Hong Kong)

Senior Machine Learning Engineer

AI Engineer

Medior/Senior AI Engineer | AI-platform | Startup

Lead Data Scientist, Revenue - Ads, Revenue

Senior Machine Learning Engineer / Data Scientist | Financiële Sector

Hydraulic Design Engineer

AI/Data Engineer | Dutch Speaker | Netherlands

Manager Data Science

Senior Data Science Analyst - OptimusAI

Senior AI / ML Engineer (MLOps & ML Platform)

Chapter Lead LLM / Agentic Expert

Director Applied Science ADAS

Manager Data Science

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