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nlp engineer

Bold Company

<div>
 
 Als AI Engineer maak je deel uit van een centraal AI-team waar innovatie, experimenteren en technologische vooruitgang centraal staan. Je werkt nauw samen met developers, data scientists en business analisten om vraagstukken helder te krijgen en deze te vertalen naar schaalbare en intelligente AI-oplossingen. Denk hierbij aan toepassingen met large language models, machine learning en andere moderne AI-technologie&euml;n.
 
 
 In deze rol ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van geavanceerde softwareoplossingen. Je denkt creatief mee, bouwt proof of concepts, optimaliseert deze en zorgt voor een zorgvuldige overdracht naar de ontwikkelteams waar de oplossing verder wordt uitgerold. Kwaliteit, performance en betrouwbaarheid staan hierbij centraal. Je krijgt veel ruimte om te werken met de nieuwste AI-ontwikkelingen en actief bij te dragen aan innovatieve toepassingen voor klanten.
 
 
 
 
 
 
 Organisatie
 
 
 
 Voor een snelgroeiende en ambitieuze organisatie in regio Amsterdam zijn wij op zoek naar een Medior AI Engineer. De organisatie kenmerkt zich door een ondernemende en informele cultuur waarin samenwerking, innovatie en persoonlijke ontwikkeling vooropstaan. Binnen het bedrijf is een gespecialiseerd AI-team opgezet dat werkt aan uiteenlopende use cases die breed binnen de organisatie worden toegepast.
 
 
 Je komt terecht in een omgeving waar ambitie wordt aangemoedigd en waar ruimte is om grenzen te verleggen. Samenwerking, scherpte en continue groei vormen belangrijke pijlers binnen deze organisatie.
 
 
 
 
 
 
 Functie-eisen
 
 
 <ul>
 <li>
 Ervaring met het opzetten en implementeren van multi-agent architecturen;
 </li>
 <li>
 Ervaring met het toepassen van RAG-architecturen (Retrieval Augmented Generation);
 </li>
 <li>
 Ervaring met AI-technologie&euml;n zoals machine learning, deep learning, NLP of computer vision;
 </li>
 <li>
 Je hebt kennis van verschillende LLM-architecturen en begrijpt de voor- en nadelen van diverse AI-oplossingen;
 </li>
 <li>
 Ervaring met programmeertalen zoals Python, R, C# of vergelijkbaar, inclusief ervaring met CI/CD-processen;
 </li>
 <li>
 Je bent bekend met werken binnen een Agile/Scrum-omgeving;
 </li>
 <li>
 Ervaring met Azure is een pr&eacute;;
 </li>
 <li>
 Goede communicatieve vaardigheden en een sterke teamgerichte instelling.
 </li>
 </ul>
 
 
 
 
 
 Arbeidsvoorwaarden
 
 
 <ul>
 <li>
 Salaris van &euro;4.000,- tot &euro;7.000,- per maand, afhankelijk van ervaring;
 </li>
 <li>
 8% vakantiegeld;
 </li>
 <li>
 26 vakantiedagen plus 4 extra vrije dagen verspreid over het jaar;
 </li>
 <li>
 Hybride werken met flexibiliteit tussen kantoor en thuis;
 </li>
 <li>
 Laptop en telefoonvergoeding;
 </li>
 <li>
 Thuiswerkvergoeding;
 </li>
 <li>
 Pensioenregeling;
 </li>
 <li>
 Ruimte voor professionele groei en ontwikkeling;
 </li>
 <li>
 Werken binnen een ambitieuze en innovatieve organisatie.
 </li>
 </ul>
 
 
 
 
 
 Meer informatie
 
 
 
 Voor meer informatie of vragen kun je gerust contact opnemen via &phone;️ 088 - 0184 700 of stuur een e-mail naar sander@boldcompany.nl. Ben je zelf niet actief op zoek maar ken je iemand die perfect bij deze rol past? Laat het ons weten, we denken graag mee.
 
</div>

AI Engineer

SoTalent

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
 </li>
 <li>
 Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
 </li>
 <li>
 Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
 </li>
 <li>
 Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
 </li>
 <li>
 Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
 </li>
 <li>
 Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
 </li>
 <li>
 Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
 </li>
 <li>
 Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
 </li>
 <li>
 Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 Skills &amp; Experience
 
 <ul>
 <li>
 Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
 </li>
 <li>
 Strong Python programming skills with experience writing clean, well-tested and maintainable code.
 </li>
 <li>
 Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
 </li>
 <li>
 Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
 </li>
 <li>
 Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
 </li>
 <li>
 Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
 </li>
 <li>
 Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
 </li>
 <li>
 Excellent communication and collaboration skills with experience working across multidisciplinary teams.
 </li>
 </ul>
 
 What's on Offer
 
 <ul>
 <li>
 Flexible working arrangements supporting work-life balance.
 </li>
 <li>
 Hybrid working environment.
 </li>
 <li>
 Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
 </li>
 <li>
 The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
 </li>
 <li>
 A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
 </li>
 <li>
 Competitive salary and comprehensive benefits package.
 </li>
 </ul>
 
 If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 
</div>

Data Scientist

Levy Professionals

<div>ABOUT YOU

You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.

WHAT ARE YOU GOING TO DO
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>

AN IDEAL PROFILE WOULD BE
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</div>

Data Scientist (Agentic AI)

Simon-Kucher & Partners

<div></div><div><h1 class="jobSectionHeader">Intern/Associate Consultant Data Science</h1>
<div>In The Netherlands - Amsterdam</div>
 
This opportunity offers a unique entry into Consulting as a Data Science Intern, particularly focusing on the use of Large Language Models (LLMs) and Natural Language Processing (NLP) in our UK and Netherlands projects.
<div><div>What makes us special: 
<ul><li>Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.</li>
<li>Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.</li>
<li>Enjoy balance and flexible working. Be empowered to do your best work &ndash; whether it&rsquo;s remotely or in the office.</li>
<li>Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.</li>
</ul></div><div>How you will create an impact: 
<ul><li>You will be an integral part of project teams driving top-line growth for clients, mainly across UK and Netherlands projects.</li>
<li>Responsible for the core stages of model development, including:Data wrangling and pre-processingMachine learning model development, testing, and implementation.</li>
<li>You will analyze and communicate data insights to project teams to support strategic decision-making.</li>
<li>The internship offers an opportunity to learn about commercial strategy consulting in a practical, project-based environment.</li>
<li>Top-performing interns may be offered an entry-level Data Scientist position after completion of the internship.</li>
</ul></div><div>Your profile: 
<ul><li>You have completed both your VWO and bachelor's degree with above-average study results in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience.</li>
<li>Deep knowledge of Machine Learning, statistical modelling, and NLP techniques.</li>
<li>Strong programming skills in R and/or Python, with experience in NLP libraries and frameworks.</li>
<li>Exceptional communication skills to effectively convey complex data insights.</li>
<li>High percentile numerical, deductive, and inductive reasoning skills.</li>
<li>A strong desire to work in a fast-paced, commercially agile environment.</li>
<li>A keen interest in commercial strategy and a desire to work in a dynamic, fast-paced environment.</li>
<li>Strong enthusiasm, curiosity, and a commitment to achieving the best outcomes.</li>
</ul></div></div>Internships within the Data Science team usually last around 4 to 6 months and are designed to expose individuals to working on client projects. Interns can expect responsibility from the outset as a valued member of the project team. Throughout your time at Simon-Kucher, you will contribute to analysis and results and can benefit from working alongside experienced Consultants, Directors, and Partners. To be eligible for the internship, you must be enrolled at a university and able to work from our Amsterdam office during the internship period. 
 
About Simon-Kucher 
Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact. We optimize every lever of commercial strategy &ndash; product, pricing, innovation, marketing, sales, and digital &ndash; based on deep insights into what customers value and are willing to pay for. With over 40 years of experience in monetization, we are regarded as the world&rsquo;s leading commercial growth and pricing specialist. simon-kucher.com

We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone &ndash; our people, our clients and, of course, our business.

Your personal contact: 
Anne-Fleur Lefel 
Recruitment.amsterdam@simon-kucher.com</div>

Intern/Associate Consultant Data Science

Solid Professionals

<div>
 
 
 Introduction
 
 
 
 As a GenAI Data Scientist, you will develop and implement AI solutions that help organizations improve decision-making, operational efficiency, and risk management. You will work in complex corporate environments where business, data, and technology come together to solve challenging problems. In this role, the focus is on creating Generative AI solutions that deliver measurable business value within highly regulated environments.
 
 
 
 
 
 
 Your role
 
 
 
 As a GenAI Data Scientist, you will be responsible for designing, developing, and implementing Generative AI solutions that support complex business processes. You will translate business challenges into practical AI applications and contribute throughout the entire lifecycle, from identifying opportunities and preparing data to building, testing, and deploying solutions into production.
 
 
 
 
 
 You will work extensively with unstructured data and Large Language Models (LLMs). This involves evaluating different models, architectures, and implementation approaches to determine the most suitable solution for a given use case. Topics such as Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), agentic workflows, and AI evaluation frameworks will be central to your work.
 
 
 
 
 
 Within multidisciplinary teams, you will collaborate closely with business stakeholders, data professionals, and IT specialists. Depending on your experience level, you may focus on developing specific AI solutions or take a leading role in shaping architecture decisions, best practices, and the broader AI roadmap. The emphasis is on building solutions that move beyond experimentation and deliver real impact in production environments.
 
 
 
 
 
 
 What we are looking for
 
 
 <ul>
 <li>
 A completed Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 At least 3 years of relevant experience as a Data Scientist
 </li>
 <li>
 Strong experience with Python and the development of machine learning and AI solutions
 </li>
 <li>
 Experience with Generative AI, Large Language Models (LLMs), and GenAI use cases
 </li>
 <li>
 Knowledge of frameworks and concepts such as RAG, NLP, LangChain, DSPy, agents, or similar technologies
 </li>
 <li>
 Experience working with and transforming unstructured data
 </li>
 <li>
 Experience with cloud platforms, preferably Azure
 </li>
 <li>
 Knowledge of Git, data engineering concepts, and IT architecture
 </li>
 <li>
 Experience working in Agile environments and multidisciplinary teams
 </li>
 <li>
 Experience within financial services, FEC, KYC, CDD, or AML
 </li>
 <li>
 Strong English communication skills
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 Through Solid Professionals, you will work on one substantive assignment with one client at a time. You will be employed by us for the duration of that assignment. This provides focus and clarity, with a single assignment and an employment contract aligned to the duration of the engagement.
 
 
 
 
 
 
 What you can expect
 
 
 <ul>
 <li>
 A competitive salary aligned with your experience
 </li>
 <li>
 Challenging assignments within complex financial environments
 </li>
 <li>
 Opportunities for professional growth and specialization
 </li>
 <li>
 About Solid Professionals
 </li>
 </ul>
 
 
 
 
 Solid Professionals connects finance, risk, data, and IT professionals with organizations where quality and expertise are central. We combine strong assignments with personal guidance and actively support you in taking the next step in your career.
 
</div>

Data Scientist GenAI

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
What you will do 
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.
Your responsibilities include:<ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul>
Who you will work with 
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.
Who you are<ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul>
In return, you can expect:<ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul> 

Qualifications 
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Machine learning Engineer

Explore 122+ Nlp engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

122 nlp engineer jobs In Amsterdam

AI Engineer

Data Scientist

Data Scientist (Agentic AI)

Intern/Associate Consultant Data Science

Data Scientist GenAI

Data Scientist

Machine learning Engineer