data scientist

senior machine learning engineer Jobs in Amsterdam

senior machine learning engineer

machine learning engineer Jobs in Amsterdam

machine learning engineer

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

data scientist - ai strategy team Jobs in Amsterdam

data scientist - ai strategy team

senior machine learning scientist

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>

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)

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

<div>Company Description 
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier. 
Job Description 
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.
Responsibilities
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.
Responsibilities include:<ul><li>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</li><li>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</li><li>
Apply Generative AI and large language models to create innovative solutions.</li><li>
Clearly present analytical results and assist in facilitating client workshops.</li></ul>
Your profile<ul><li>
Motivated, analytical, and eager to learn.</li><li>
Thrive in collaborative, multidisciplinary environments.</li><li>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</li></ul> 
Qualifications<ul><li> 
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</li><li>
1 to 3 years of relevant professional experience.</li></ul><ul><li>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</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>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</li><li>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</li><li>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</li></ul>
What we offer<ul><li>
Training and development opportunities to advance your expertise.</li><li>
A supportive environment with structured mentorship and personalized training opportunities.</li><li>
Opportunities to participate in international projects.</li><li>
Flexible working hours and performance-based promotion.</li><li>
Competitive salary, bonus, and benefits package (health insurance, pension).</li></ul> 
Additional Information 
We are unable to provide a work permit for this position.
Non-Dutch speakers will unfortunately not be accepted.
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and 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>

Data Science Consultant

<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

Accenture

<div>THE WORK
The energy transition is one of the biggest engineering challenges of our time. At Accenture Industry X, we help energy companies and grid operators build smarter, more resilient electricity networks through the power of digitalization, data and engineering expertise.
As a Consultant &ndash; Grid Planning &amp; Modelling Engineering, you will work with leading transmission and distribution system operators to solve complex grid challenges and prepare networks for a more sustainable future. From addressing grid congestion to planning network expansions and integrating renewable energy sources, your work will directly contribute to shaping tomorrow's energy landscape.
This is a role for engineers who enjoy combining technical expertise with problem-solving, innovation, and client collaboration.
What You'll Do
Shape future energy networks 
Support utilities and grid operators in planning and designing future-proof electricity networks that can meet increasing demand and accelerate the energy transition.
Solve complex grid challenges 
Analyze and address issues such as grid congestion, network reinforcement, grid reconfiguration and renewable energy integration.
Develop digital and automated solutions 
Help clients modernize and automate grid planning and modelling processes, improving efficiency, accuracy and decision-making.
Turn data into meaningful insights 
Leverage modelling results and data analytics to support investment decisions, planning studies and operational improvements.
Work alongside industry experts 
Collaborate with experienced engineers, consultants and technology specialists on innovative projects across the energy sector.
Grow your career in consulting 
Develop your technical, consulting and project management skills while taking on increasing responsibilities and opportunities for leadership.
WHY JOIN US?<ul><li>
Work on projects that have a real impact on Europe's energy transition.</li><li>
Collaborate with leading transmission and distribution system operators.</li><li>
Combine engineering expertise with cutting-edge digital technologies.</li><li>
Learn continuously through training, certifications and hands-on project experience.</li><li>
Be part of a collaborative and diverse team that values innovation, flexibility and personal growth.</li></ul>
WHO WE ARE
At Industry X, we help organizations reinvent how they engineer, operate and transform their businesses.
By combining engineering, digital technologies, data and industry expertise, we help clients become more sustainable, efficient and future-ready. Our teams work at the intersection of technology and industry, solving complex challenges that create tangible business and societal impact.
Within our Energy practice, we partner with some of Europe's most influential energy organizations to accelerate the transition toward a cleaner, smarter and more reliable energy system.
Ready to make a difference? The time for change is now.</div>
 
<div>HERE'S WHAT YOU'LL NEED<ul><li>
Master&rsquo;s degree in Electrical Engineering, Systems Engineering, Energy Technology, Industrial Engineering or a related discipline.</li><li>
2+ years of experience in power systems, grid planning, power network analysis or grid operations.</li><li>
Knowledge of transmission and distribution network planning principles.</li><li>
Experience with grid modelling methodologies and engineering studies.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work independently while collaborating effectively within multidisciplinary teams.</li><li>
Customer-focused mindset with strong communication and stakeholder management skills.</li><li>
Fluent in Dutch and English, both written and spoken.</li></ul>
BONUS POINTS IF YOU HAVE<ul><li>
Experience with load flow calculations, stability studies or dynamic power system analysis.</li><li>
Hands-on experience with grid modelling tools such as PowerFactory, NEPLAN, Integral or similar platforms.</li><li>
Experience automating grid planning or modelling activities.</li><li>
Knowledge of scripting, data analytics, machine learning or AI applications in the energy sector.</li><li>
Familiarity with European energy regulations, market structures and grid codes.</li><li>
Certification in Agile, PRINCE2, PMP or other project management methodologies.</li><li>
Experience in a consulting or client-facing environment.</li><li>
Experience managing stakeholders and translating technical concepts into business value.</li></ul>
For More Senior Candidates<ul><li>
Demonstrated experience leading client engagements and technical workstreams.</li><li>
Experience developing proposals, managing delivery teams and supporting business growth.</li><li>
Proven ability to coach and mentor junior engineers and consultants.</li></ul>
Don't Meet Every Requirement?
That's perfectly okay. We're looking for curious, motivated people who are passionate about engineering and the energy transition. If you're excited about this role and believe you can make an impact, we encourage you to apply.</div>

Consultant Grid Planning and Modelling

Group-IB

<div>
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations.
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 About The Role
 
 
 
 In this role, you will be instrumental in the engineering and end-to-end development of analytical services designed to provide advanced fraud intelligence. You will leverage your experience in production-grade Python development to enhance our strategic fraud detection capabilities through the analysis of session and network data, development of sophisticated fraud detection logic, and implementation of predictive modeling and scoring methodologies across diverse web entities.
 
 
 
 YOUR MISSION
 
 
 
 <ul>
 <li>
 Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
 </li>
 <li>
 Perform advanced research into methodologies for fraud mitigation and anomaly detection within transactional and sessional data environments.
 </li>
 <li>
 Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
 </li>
 <li>
 Engineer and validate AI Agents tailored for complex analytical operations.
 </li>
 <li>
 Analyze session and network data to develop sophisticated fraud detection logic.
 </li>
 <li>
 Implement predictive modeling and scoring methodologies across diverse web entities.
 </li>
 <li>
 Synthesize research findings into comprehensive documentation and formal presentations.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Strong foundation in tabular data analysis.
 </li>
 <li>
 Experience writing production-ready, asynchronous Python code (Python 3.10+).
 </li>
 <li>
 Experience with Python data analysis and machine learning libraries, including pandas and scikit-learn.
 </li>
 <li>
 Proficiency with Git; experience with Docker is a plus.
 </li>
 <li>
 Proficiency in IDE and terminal-based development.
 </li>
 <li>
 Experience building ETL pipelines.
 </li>
 <li>
 Experience orchestrating AI coding agents efficiently.
 </li>
 <li>
 Research-oriented mindset.
 </li>
 <li>
 Database experience with Elasticsearch, Cassandra, or ClickHouse is highly preferred.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 Prior experience within the cybersecurity or anti-fraud sectors.
 </li>
 <li>
 Experience implementing AI agents end-to-end.
 </li>
 <li>
 Strong documentation and presentation skills.
 </li>
 <li>
 Experience working with Elasticsearch, Cassandra, or ClickHouse.
 </li>
 <li>
 Good understanding of networking concepts (hosting, VPN, etc.).
 </li>
 <li>
 Understanding of fraud prevention and network protection.
 
 
 </li>
 </ul>
 
 WHY CHOOSE GROUP-IB
 
 
 
 Group-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes.
 
 
 <ul>
 <li>
 Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
 </li>
 <li>
 Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East &amp; Africa, Central Asia, and the Asia-Pacific. Your growth is our growth &mdash; Group-IB's expansion across 60+ active country operations means real career acceleration.
 </li>
 <li>
 We fund professional certifications at company expense &mdash; whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
 </li>
 <li>
 Work alongside industry leaders. Our Unified Risk Platform &mdash; Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more &mdash; is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost &amp; Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
 </li>
 <li>
 Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike &mdash; and neither do the skills you'll develop.
 </li>
 <li>
 A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.
 </li>
 </ul>
</div>

Explore 21+ Senior machine learning scientist in Amsterdam this July. Find roles across top companies and apply now to boost your career.

21 senior machine learning scientist jobs In Amsterdam

Data Scientist

Data Scientist (Agentic AI)

Software Engineer – Machine Learning (AI Training)

Data Science Consultant

Machine learning Engineer

Consultant Grid Planning and Modelling

Data Scientist