251 to 275 of 1,096 Natural Language Processing Jobs

Experience with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience working More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

French or Dutch is an advantage. Preferred Qualifications MSc or PhD in Computer Science, AI, Machine Learning, or a related field. Experience with MLOps tools and workflows. Knowledge of NLP, computer vision, or reinforcement learning is a bonus. Previous freelance or consulting experience is a plus. What We Offer More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory #J-18808-Ljbffr More ❯

travel for occasional on-site collaboration Preferred Qualifications Master's or PhD in Computer Science, AI, Machine Learning, or a related field Experience with LLMs, generative AI models, or NLP pipelines Experience working in regulated sectors (finance, healthcare, or public sector) Why Join Us? Work on impactful projects with real-world AI applications Flexible working arrangements Collaborate with a cross More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯

and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯

such as multi-modal fusion, geospatial intelligence, and intelligent decision support. The Opportunity You’ll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery—spanning early-stage concept exploration to proof-of-concept demonstrators for government R&D More ❯

such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration to proof-of-concept demonstrators for government R&D sponsors. More ❯

and achieve competitive advantage through AI innovation. What You’ll Do: AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems. Solution Architecture – Design scalable, secure AI solutions using Azure Data Lake, Microsoft Fabric, and Databricks. Align AI strategies with business goals and collaborate More ❯

as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery-spanning early-stage concept exploration to proof-of-concept demonstrators for government R&D More ❯

are resilient, high-performing, and fit for future growth. Requirements: 5+ years in data engineering with strong SQL and cloud data platform experience. Skilled in handling unstructured data and NLP datasets. Familiar with MLOps, RAG frameworks, and deploying AI/ML models into production. Experience implementing APIs, vector databases (e.g., FAISS, Pinecone), and LLM pipelines. Knowledge of data security, versioning More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

TensorFlow, PyTorch). High mathematical competence and proficiency in statistics. Solid understanding of data science techniques such as supervised/unsupervised learning, cross-validation, Bayesian inference, time-series analysis, NLP, SQL, and API development. Ability to develop new algorithms is a fundamental skill. Leadership mindset focused on team growth, mentorship, and fostering a collaborative culture. Appreciation for applying the scientific More ❯