8 beste vacatures voor de functie van data scientist in leusden (nieuwe medewerkers gezocht)

Machine Learning Engineer
Xebia Group —Hilversum
- Fulltime
- Master
- Analytisch vermogen
- Bachelor
Snel solliciteren
Software Engineer - AI Workflows (m/f/d)
EnOcean —Utrecht
- ERP systemen
- JavaScript
- APIs
- Werk vanuit huis
- Flexibele werkuren
Snel solliciteren
1 dag
Lead Machine Learning Engineer
Capgemini Sogeti —Utrecht
- Fulltime
- Azure
- Productie
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
PhD: Characterization of subsurface heterogeneity in backward erosion (piping)
Universiteit Utrecht —Utrecht Oost
- € 3.059 - € 4.051 per maand
- Fulltime
- Civiele techniek
- Doctor
- Schrijfvaardigheden
Snel solliciteren
Postdoc Position in Epigenome Engineering
Universiteit Utrecht —Utrecht Oost
- € 3.706 - € 5.760 per maand
- E-mail
- Doctor
- Engels
- Communicatieve vaardigheden
Snel solliciteren
DevOps Engineer
Sensorfact —Utrecht
- Fulltime
- Hybride werken
- DevOps
- Engels
- Aanbrengbonus
Snel solliciteren
Stagiair(e) Backend developer
Berenschot Groep B.V. —Utrecht
- € 600 per maand
- Online sollicitatie
- Hybride werken
- Azure
- DevOps
- Engineering
- Flexibele werkuren
Snel solliciteren
Senior Software Engineer – Product Content Automation
Kramp GmbH —Utrecht
- Java
- AI
- Python
- Winstdeling
- Budget voor professionele ontwikkeling
2 uur

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Machine Learning Engineer Enterprise Enabling Data Domain
ABN AMRO —Amstelveen
2–5 jaar ervaring in machine learning en/of software engineering (hbo/wo-niveau) met sterke Python-skills en ervaring met gangbare ML-libraries (zoals scikit-…
€ 5.112 - € 7.303 per maand
Machine Learning Engineer
Zympler B.V. —Utrecht Binnenstad
Be in our office at least two days per week and be based in the Netherlands. Use statistics and data insights to improve or develop new control algorithms.
Snel solliciteren

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Machine Learning Engineer

Xebia Group -
Hilversum

Snel solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Bedrijfslaptop

Kwalificaties

Kubernetes
Spark
Master
Analytisch vermogen
Bachelor
Usability
Schaalbaarheid
Kafka
Datawetenschappen

Volledige vacaturetekst

MLOPS Engineer

Ready to break boundaries in the analytical world? Accelerate your ML engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a ML(ops) engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects. What kind of projects?

✅ Help data-driven teams to build production-ready, scalable machine learning systems

✅ Productionizing machine learning models

✅ Maintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance

The role itself

2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, ML(ops) engineering and cloud fundamentals
Work 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall
Join us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads
At the end of your first year, you get the opportunity to join the partner organization directly

As a ML(ops) Engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you will work on data science & ML related topics, such as predictive software solutions, fraud detection or data engineering challenges such as building data pipelines, developing on cloud architectures and productionizing machine learning models.

Besides this, you like big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are used to build production-ready scalable applications driven by data and AI.

About Xccelerated

Xccelerated is an initiative within the Xebia Group, accelerating growth of Data, Cloud & AI competence. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. It is an intense learning journey for who have proven their potential and are ready for the next step in their career.

Are you one of them? Join our dream team of 45 great people. Each member of our team brings a unique specialty and passion to our shared mission: eliminate the shortage of highly skilled Data & AI professionals. To achieve our goal, we empower each other to reach their full potential and inspire others to do the same. Or as Nikki, our ML engineer says: “The skills I learned at Xccelerated are incredibly valuable – I use them every day at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects”.

What Xccelerated offers

Good salary

25 vacation days

Kick off with 2 full-time weeks of hands-on bootcamp training

Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignments

Macbook and Iphone

Lunches, amazing coffee and snack bar

Flexibility in working from home & at the office

This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

✅ A technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence)

✅ 2-4 years of work experience as a ML Engineer or Data scientist

✅ Statistical knowledge but are mainly experienced with end to end systems and able to run, deploy and monitor them

✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at [email protected] or by phone at 0613889770.

Application Process

First interview with one of our recruitment consultants
Making a technical assessment (from home) you will present to one of or Tech Leads (home/on remote)

**We aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability.

Snel solliciteren

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data scientist vacatures in leusden

Machine Learning Engineer

Software Engineer - AI Workflows (m/f/d)

Lead Machine Learning Engineer

PhD: Characterization of subsurface heterogeneity in backward erosion (piping)

Postdoc Position in Epigenome Engineering

DevOps Engineer

Stagiair(e) Backend developer

Senior Software Engineer – Product Content Automation

Discover related jobs

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data scientist in leusden

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