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senior machine learning engineer Jobs in Amsterdam

senior machine learning engineer

ai builder, manager

ai engineer

machine learning engineer

<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

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 
 
 Jouw rol als Senior Machine Learning Engineer
 
 
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 
 
 Jouw dagelijkse werkzaamheden omvatten:
 
 
 <ul>
 <li>
 Ontwikkelen en onderhouden van production grade GenAI-oplossingen
 </li>
 <li>
 Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
 </li>
 <li>
 Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
 </li>
 <li>
 Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
 </li>
 <li>
 Begeleiden van junior teamleden en bijdragen aan AI Excellence
 
 
 </li>
 </ul>
 Dit is je team
 
 
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 
 
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 
 
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 
 
 Wat breng
 
 
 jij ons?
 
 
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 
 
 Om succesvol te zijn in deze rol, breng je mee:
 
 
 <ul>
 <li>
 Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
 </li>
 <li>
 Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
 </li>
 <li>
 Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
 </li>
 <li>
 Ervaring met Python
 </li>
 <li>
 Ervaring met Azure en Infrastructure-as-Code
 </li>
 <li>
 Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
 </li>
 <li>
 Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
 
 
 </li>
 </ul>
 Wat krijg je
 
 
 van ons?
 
 
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 
 
 <ul>
 <li>
 Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
 </li>
 <li>
 Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
 </li>
 <li>
 Jaarlijks een individuele en collectieve verhoging conform onze CAO
 </li>
 <li>
 &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
 </li>
 <li>
 Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
 </li>
 <li>
 Een goede werk-priv&eacute; balans
 </li>
 <li>
 Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
 </li>
 <li>
 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
 </li>
 <li>
 Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
 </li>
 <li>
 Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
 </li>
 <li>
 Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
 
 
 </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 
 
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>

Senior Machine Learning Engineer

KPN 

<div>Company Description 
You&rsquo;ll join in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 30+ highly skilled and energetic colleagues. As part of the AI community, you&rsquo;ll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, ML Engineers, mathematicians, and data scientists. We have a close and thriving AI community of around ~100 people from different teams and departments with every month a VrijMiBo. Organizing every month a Knowledge exchange followed by different activities like playing padel, climbing or pubquizes. 
Job Description 
In this role, you&rsquo;re the driving force behind developing new technologies into building blocks for the whole company to build their GenAI use cases. You&rsquo;ll use cutting-edge software and tools to ensure that these solutions not only work but are also scalable, reliable, and always available. Your daily responsibilities include:<ul><li>
Developing and maintaining production-grade GenAI solutions</li><li>
Define priorities and influence the GenAI Lab roadmap.</li><li>
Operationalizing and integrating capabilities into business processes, IT, and data platforms.</li><li>
Engaging in continuous collaboration with team members, domain experts, and business stakeholders to refine and implement the most effective solutions.</li><li>
Mentoring junior team members and maintaining AI Excellence.</li></ul> 

Qualifications 
You&rsquo;re eager to learn and flexible on a technical and personal level. You&rsquo;re analytically strong and carry a strong sense of responsibility. You enjoy engaging both technical and non-technical colleagues in your work. To be successful in this role, you bring:<ul><li>
At least 5 years of experience as an AI/ML Engineer or similar.</li><li>
Master&rsquo;s degree with a technical component, like Computer Science or Software Engineering.</li><li>
Proven experience building production-grade GenAI applications (RAG, Agentic AI, etc.).</li><li>
Proficiency in Python</li><li>
Experience with Azure and Infrastructure-as-Code</li><li>
Experience with ML libraries, REST APIs, microservices (Docker, Kubernetes, etc.)</li><li>
Excellent knowledge of software engineering methodologies and best practices including coding standards, code reviews, version control, CI/CD, testing and security.</li></ul> 

Additional Information 
As an employer, we have a lot to offer you. Here&rsquo;s what you get from us:<ul><li>
A gross monthly salary starting from &euro; 5.190 to a maximum of &euro; 7.803, depending on your work experience, based on a 40-hour workweek.</li><li>
A guaranteed 13th-month salary: part of it is paid out monthly, and part in January of the following year. Or you can allocate it towards a FLEX &amp; BOOST goal of your choice! Click here to learn more.</li><li>
Annual individual and collective salary increases according to our collective labor agreement (CAO).</li><li>
&euro; 1,500 per year in a personal development budget that you can use at your discretion for training, coaching, or courses.</li><li>
Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.</li><li>
A healthy work-life balance, with 2 days in the office and 3 days working from home, transition leave, and the option to swap holidays for ones that align with your religious or cultural preferences.</li><li>
A home office setup workshop to optimize your remote workspace, including a mobile phone and laptop.</li><li>
50% discount on our products and services, so you can enjoy affordable internet, calls, and streaming.</li><li>
Excellent travel reimbursement: full coverage for public transport or &euro; 0.23 per kilometer if you travel by car. Prefer cycling? You can receive &euro; 0.40 per kilometer.</li><li>
The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether it&rsquo;s a city bike, e-bike, racing bike, or speed pedelec, you get to choose.</li><li>
Outstanding pension benefits: a total contribution of 23% of your pensionable salary, with KPN contributing 16% and you contributing 7%.</li></ul>
Would you like to learn more? Feel free to contact our recruiters Adumobia Rogers via E-mail at adumobia.rogers-noteboom@kpn.com
At KPN, we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.</div>

ABN AMRO Bank N.V.

<div>
 
 At a glance
 
 
 
 The Finance and Risk Data Domain is looking for an experienced (8+ years) machine learning engineer for the advanced analytics and AI team. The position is for 40 hours per week at hay level 11 (&euro; 70.000- &euro; 100.000 yearly gross based on 40 hrs) and you would join around 10 other engineers to create AI driven solutions that empower our business.
 
 
 The AI team uses its expertise to turn promising (gen)AI ideas into fully fledged products. These products are data driven and assist the business in unlocking the full value of our data in order to make better informed decisions. Several applications are already in use and are used daily by colleagues across the organization.
 
 
 
 Your job
 
 
 
 Your role within this team will include the design and creation of AI models/applications. You will also be expected to be able to explain the value of your designs and defend the choices made. As an expert and frontrunner on AI you should also be able to convince others of the value that your applications can bring, as well as coach and train less experienced engineers in the proper use of AI.
 
 
 AI applications usually start their journey with a business requirement and an idea to have AI assist with the stated problem. Then a proof of concept phase starts, followed by a formal production design and implementation if successful. You will be involved at all stages of this pipeline, offering advice and guidance, and aiding with the design and implementation, either directly or indirectly. You will also train teams to maintain these applications.
 
 
 
 Your profile
 
 
 
 We heavily utilize Databricks in our environment for our data applications, using Python as our language of choice. Required skills would therefore include:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Spark/PySpark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Azure (AI services especially)
 </li>
 <li>
 SQL
 </li>
 <li>
 Software development practices (clean code, SOLID, patterns etc.)
 </li>
 <li>
 Excellent communication and stakeholder management skills
 
 
 
 </li>
 </ul>
 AI-Assisted Development (nice to have)
 
 
 <ul>
 <li>
 Experience with AI-assisted development tools (e.g. GitHub Copilot in VS Code / IDEs)
 </li>
 <li>
 Able to establish and maintain structured AI context (e.g. repository-level instructions, prompts, and reusable skills)
 </li>
 <li>
 Guides AI tools by embedding team standards, architectural decisions, and best practices into reusable context
 </li>
 <li>
 Reduces rework and inconsistency by contributing to shared AI assets (templates, examples, and patterns)
 </li>
 <li>
 Critically evaluates AI-generated output and ensures alignment with quality, security, and maintainability expectationsIdentifies opportunities to scale AI usage across the team through structured approaches rather than ad-hoc prompting
 
 
 
 </li>
 </ul>
 
 Working environment
 
 
 
 The F&amp;R data domain is a multicultural environment that works in an agile way and promotes knowledge sharing and collaboration. We host department wide sessions several times a year to facilitate this and have some fun events on top.
 
 
 
 We are offering
 
 
 
 We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.
 
 
 In addition, we offer:
 
 
 <ul>
 <li>
 An attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
 </li>
 <li>
 An excellent pension scheme, ensuring that you are well prepared for the future.
 </li>
 <li>
 Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
 </li>
 <li>
 Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
 </li>
 <li>
 Five &ldquo;Banking for better days&rdquo;: extra days off that you can use for personal development or volunteer work.
 </li>
 <li>
 Personal development is key: you receive a development budget of &euro;1,000 per year, which can accumulate up to &euro;3,000.
 </li>
 <li>
 An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.
 
 
 
 </li>
 </ul>
 You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.
 
 
 
 Interested?
 
 
 
 After initial screening, the interview process consists of a first interview to go over the role and relevant experience and skills in broad strokes. This is followed by a technical assignment and a technical interview. The assignment covers the basic aspects of the job and forms a starting point for the second interview. After the second interview we will usually take a decision, although on rare occasions a third interview can take place. For additional questions, you can contact the hiring manager: jasper.ris@nl.abnamro.com
 
 
 
 Your Future: Inclusive, Innovative, Sustainable
 
 
 
 At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.
 
 
 If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.
 
 
 
 Disclaimer external recruitment agencies
 
 
 
 External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.
</div>

Machine Learning & 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

RELX Group

<div>Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions?
Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value?
About our Team
Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today&rsquo;s modern clinical environment. We have a very stable product that we&rsquo;ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
About the Role
In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge.
Responsibilities
<ul><li>Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding.
</li><li>Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline.
</li><li>Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.
</li><li>Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation.
</li><li>Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value.
</li><li>Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement.
</li><li>Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems.
</li><li>Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences.
</li></ul>Requirements
<ul><li>Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.
</li><li>Experience working with frontier LLMs such as OpenAI&rsquo;s GPTs, Anthropic&rsquo;s Claude, and Google&rsquo;s Gemini, including fine-tuning LLMs and/or SLMs.
</li><li>Strong Python skills and a habit of writing clean, maintainable, well-tested code.
</li><li>A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement.
</li><li>Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets.
</li><li>Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
</li><li>The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality.
</li><li>Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value.
</li></ul>Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. 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.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
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) &euro;44,500 - &euro;74,300. 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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
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.
USA Job Seekers:
EEO Know Your Rights .</div>

Booking.com

<div>
 At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam.
 
 
 
 
 About the team:
 
 
 
 The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
 
 
 The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
 
 
 This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys.
 
 
 
 Role Description:
 
 
 
 As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
 
 
 
 Key Job Responsibilities and Duties:
 
 
 
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 Explore and apply state-of-the-art techniques in multimodal machine learning.
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 Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..
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 Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
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 Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.
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 Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
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 Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
 
 
 
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 Role Qualifications and Requirements:
 
 
 
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 Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.
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 Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
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 Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.
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 Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
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 Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
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 Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
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 Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
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 Excellent English communication skills, both written and verbal.
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 Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
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 Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators
 
 
 
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 Benefits &amp; Perks: Global Impact, Personal Relevance
 
 
 
 Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
 
 
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 Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
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 Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.
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 Be part of a truly international fast paced environment and performance driven culture.
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 Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.
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 Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.
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 Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.
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 Diverse and creative colleagues from every corner of the world.
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 Health, life, and disability insurance*
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 Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
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 Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
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 Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
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 Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
 
 
 
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 #ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
 
 
 
 Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
 
 
 Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 
 
 We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
 
 
 
 Pre-Employment Screening
 
 
 
 
 If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
 
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Senior Machine Learning Scientist

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