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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** NDT Global - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Computer Vision, Data Cleansing, Machine Learning, Object Detection, Pattern Recognition, Tensorflow, Azure Machine Learning, SQL Databases, Data Processing, Apache Spark, Deep Learning, Information Technology, Data Management, Machine Learning Operations - **Published:** July 31, 2026 - **Apply:** https://www.buscojobs.com.es/senior-machine-learning-engineer-en-barcelona-ID-364249437 ## About the Role datasets to train and validate modelsEnsures quality of the developed prototypes by following good software practices and code reviewsWrites documentation of developed solutions and ensures knowledge transferRequirementsBachelor's or master's degree in computer science or a related field (PhD preferred)Relevant work experience more than 5 years, in deep learning (preferred image related)Experience working on end?to?end ML projects, from data collection to production?level deploymentExperience with image recognition, object detection, and other computer vision tasks. xqbhyrx Must be proficient in spoken and written EnglishProficiency inPythonPyTorch/TensorFlow/JaxExperiment tracking (ex: W&B, MLFLow or similar)Nice to haveBe able to read SQL databases2 years of experience with classical MLExperience with big data tools like Apache Spark for data manipulation is a plus.Cloud experience like: Azure ML, AWS sagemaker or Vertex AISkillsetAnalytical mindset - Ability to break down complex problems and approach them with structured thinkingCuriosity & innovation - Passion for exploring new technologies and pushing boundaries in machine learningCollaboration - Comfortable working in cross?functional, international teams and sharing knowledge openlyClear communication - Able to explain technical concepts to both technical and non?technical stakeholdersAdaptability - Willingness to learn, iterate, and adapt to evolving tools, data, and business needsDetail?oriented - Strong focus on accuracy, quality, and reliability in both code and resultsTime management - Capable of managing multiple tasks and priorities in a flexible work environmentCultural awareness - Appreciation for diverse perspectives in a global team settingSelf?driven learning - Proactive in staying up to date with the latest trends in ML and AIBenefitsGreat long?term career prospects and development opportunitiesChallenging tasks in innovative and diverse teamsAttractive compensation systemFlexible working environment#J-*****-Ljbffr ## Description About NDT GlobalHaga clic en "Solicitar" a continuación para enviar su candidatura.Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy?sector infrastructure.The company is recognized for its expertise in ultrasonic inspection technologies-such as Pulse Echo, Pitch?and?Catch, Phased Array, and Acoustic Resonance (ART Scan)-and ultra?high?resolution Magnetic Flux Leakage (MFL) inspection services.These differentiated offerings, along with non?ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions.Innovation is at the core of NDT Global's mission.We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost?effective pipeline management.Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards.By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision?ready insights.These insights, driven by the world's most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their carbon footprint.PurposeThe goal of the Machine Learning Engineer is to introduce new solutions based on machine learning, especially deep learning, to improve accuracy and efficiency of data analysis from data preparation, model training and testing to deployment in a productive environment.TasksApplies supervised techniques, mostly deep learning techniques, for solving pattern recognition problems in ultrasound data (images, signals)AI model training and researchTake ownership of end?to?end projects from proposing technical solutions, model development, technical project management, results communication to stakeholders, until handover the solution to the production teamMentoring and support our Machine Learning junior membersUnderstands and interprets data to come up with optimal feature sets or imagesPrepares datasets to train and validate modelsEnsures quality of the developed prototypes by following good software practices and code reviewsWrites documentation of developed solutions and ensures knowledge transferRequirementsBachelor's or master's degree in computer science or a related field (PhD preferred)Relevant work experience more than 5 years, in deep learning (preferred image related)Experience working on end?to?end ML projects, from data collection to production?level deploymentExperience with image recognition, object detection, and other computer vision tasks.xqbhyrx Must be proficient in spoken and written EnglishProficiency inPythonPyTorch/TensorFlow/JaxExperiment tracking (ex: W&B, MLFLow or similar)Nice to haveBe able to read SQL databases2 years of experience with classical MLExperience with big data tools like Apache Spark for data manipulation is a plus.Cloud experience like: Azure ML, AWS sagemaker or Vertex AISkillsetAnalytical mindset - Ability to break down complex problems and approach them with structured thinkingCuriosity & innovation - Passion for exploring new technologies and pushing boundaries in machine learningCollaboration - Comfortable working in cross?functional, international teams and sharing knowledge openlyClear communication - Able to explain technical concepts to both technical and non?technical stakeholdersAdaptability - Willingness to learn, iterate, and adapt to evolving tools, data, and business needsDetail?oriented - Strong focus on accuracy, quality, and reliability in both code and resultsTime management - Capable of managing multiple tasks and priorities in a flexible work environmentCultural awareness - Appreciation for diverse perspectives in a global team settingSelf?driven learning - Proactive in staying up to date with the latest trends in ML and AIBenefitsGreat long?term career prospects and development opportunitiesChallenging tasks in innovative and diverse teamsAttractive compensation systemFlexible working environment#J-*****-Ljbffr ## Related Videos - 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