Machine Learning Officer Jobs

Machine Learning Officer - Junior

Inetum is a European leader in digital services with a team of 28,000 consultant...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis
Knowledge of at least one ML development stack (e.g., scikit-learn, keras, …)
Knowledge of NLP techniques
Fluent English
Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge
Knowledge of databases and associated tools (SQL and NoSQL)
Familiarity with continuous integration tools (pref. Jenkins, Git)
Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)
Ability to think abstractly and creatively

Job Responsibility

Develop End to End Product Lifecycle: Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working together with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software’s: Follow industry best practices to implement and scale out the developed solutions into production grade software
Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies and tools

What we offer

Inetum certified Top Employer Europe 2025
Opportunity to grow expertise and create digital impact

New

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Senior Software Engineer | Computer Vision & Machine Learning

We are looking for a seasoned, hands-on Software Engineer with deep expertise in...

Location

Germany; Spain , Mannheim; Valencia

Salary:

Not provided

HUBBLR GmbH

Expiration Date

Until further notice

Requirements

4+ years of professional experience building ML/CV applications in Python
Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment
Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow
CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar
Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment
Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient
Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly
Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients
Location: Ability to work from our Mannheim or Valencia office in a hybrid model

Job Responsibility

Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection
Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure
Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects
Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices
Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines

What we offer

High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses
Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges
A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently
Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character

Fulltime

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...

Location

Belgium , Diegem

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in Data Science
Coordinate the development and implementation of solutions with machine and deep learning at our customers
Assess the quality and performance of existing predictive models
Lead a team of talented Data Scientists
Master's degree (or equivalent through experience) in a field that is highly data-driven
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
Well versed in open-source software and libraries in Python and/or R for machine and deep learning
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus

Job Responsibility

Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more

What we offer

Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

R&D Scientist/Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Master’s degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience
Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.)
Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills
Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information

Job Responsibility

Formulation and prototype implementation of original concepts and algorithms in numerical modeling, sonar-signal processing, and/or machine learning/artificial intelligence (AI)
Testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
Coordination with ARiA scientists and engineers in the development of algorithms and software products
Presentation of findings and results at scientific meetings and program reviews
Serving as a technical lead on projects by setting technical direction as well as mentoring and supporting the work of more junior colleagues
Supporting the transition of research algorithms to real-time operational prototypes through coordination with software engineers inside and outside of ARiA
Preparing documentation for customers to summarize design and status of software prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required

Fulltime

Full-time Lecturer at the Faculty of Computer Science and Informatics

The Full-time Lecturer at the Faculty of Computer Science and Informatics is res...

Location

Germany , Berlin

Salary:

55000.00 EUR / Year

GUS Germany GmbH

Expiration Date

Until further notice

Requirements

PhD with strong theoretical and practical knowledge in at least one of the following areas: (i) Data Analytics and Visualisation, (ii) Big Data Analytics, (iii) Machine Learning, (iv) Deep Learning, (v) Computer Vision, (vi) Chatbot Systems, (vii) Robotics and Automation Systems
Prior teaching experience in higher education at the University level
Strong working knowledge of Python Programming
Very good knowledge of Windows OS, of MS Office suite (Excel, Word, Outlook, PowerPoint) and Microsoft Teams
Scientific publications in a related discipline
Fluent in spoken and written English (C2 level)
Knowledge of Educational Platforms (i.e., Canvas, Blackboard etc.)
Sound knowledge of study regulations and rules
Very good organisational and communication skills
High social competence and assertiveness

Job Responsibility

Teaching academic modules in Data Analytics, Machine Learning, and related AI domains
Designing and updating curricula
Creating and grading assignments and exams
Participating in school activities as directed by the Dean of the Faculty and Chief Academic Officer
Mentoring students
Providing individualised tutoring to enhance academic performance
Monitoring progress
Developing creative teaching materials to support learning in AI and data analytics
Administering, proctoring and marking all students’ assignments and exams papers of all assigned classes
Updating a Syllabus or Syllabi if required

What we offer

An international environment with a multicultural audience and a meaningful social impact
Support in achieving your professional goals and development
Opportunities for career growth alongside BSBI, including leadership roles
Extensive training to equip you with the knowledge and skills needed to excel
Work in a young, dynamic and positive culture that fosters collaboration
Performance-based commissions to incentivise sales success
Be at the forefront of an exciting educational opportunity, leading the way forward and growing with BSBI

Fulltime

Data Scientist

The Data Scientist may be responsible for any of the following tasks: Analyzing ...

Location

United States , Lincoln

Salary:

Not provided

Sandhills Global

Expiration Date

Until further notice

Requirements

Completed Post Secondary Degree in Data Science, Mathematics or Statistics preferred or any other quantitative discipline
Strong proficiencies in Python or R, and various libraries/packages
Ability to gain knowledge of the products and customers of the Auction and Heavy Equipment industries
Technical understanding regarding data models, database design and development, data mining and segmentation techniques
General understanding of Machine Learning and AI tools and frameworks
Knowledge of statistics and experience using statistical packages for analyzing large datasets
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Experience with SQL, stored procedures, or APIs preferred
Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins and Spark.
Adept at generating reports and presenting findings in an understandable manner

Job Responsibility

Analyzing data that is collected in our current and future products and services
Develop statistical and machine learning models using state of the art Machine Learning and AI technologies
Visualize insights for business actions and collaborate with Software Developers to implement into our products and services
Apply the data analysis, models, and software to the markets our products are in for us to better serve our customers
Assume other duties as assigned.

What we offer

4.5-day workweek

Fulltime

Data Scientist

Sopra Steria is looking for a Data Scientist to join their team to provide advan...

Location

Belgium , Flanders

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 3+ years of experience in Data Science
Master's degree (or equivalent through experience) in a field that is highly data-driven
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
Well versed in open-source software and libraries in Python and/or R for machine and deep learning
Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
You are resident in Belgium and look forward to working a few days a week at the client's office
You're fluent in Dutch or French, have a strong grasp of the other, and speak English fluently as well.

Job Responsibility

Lead the Data Science team in providing data-driven solutions to customers
Apply skills to real scenarios in domains such as drug discovery in healthcare, fraud detection in banks, development of recommendation systems in the retail sector, and more.

What we offer

Mobility options (including a company car)
Insurance coverage
Meal vouchers
Eco-cheques
Continuous learning opportunities through the Sopra Steria Academy to support career development
Opportunity to connect with fellow Sopra Steria colleagues at various team events.

Fulltime

Machine Learning Officer

Inetum

Location:
Portugal, Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 26, 2025

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Location:Portugal, Lisbon

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:April 26, 2025

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