251 to 275 of 562 Natural Language Processing Jobs

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

experience with cloud-native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Experience working with top-tier banks, asset managers, or technology More ❯

experience with cloud-native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

ll help design, build, and deploy production-grade AI and ML solutions that drive measurable business value. What You’ll Do Develop, fine-tune, and deploy ML models (LLMs, NLP, or computer vision depending on project scope) Work closely with data scientists, engineers, and client stakeholders to translate use cases into scalable technical solutions Build and optimise data pipelines and More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

transformations, combining deep technical expertise with strategic client engagement. As a Software Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and More ❯

combining deep technical expertise with strategic client engagement. As a Solutions AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and More ❯

Deep understanding of machine learning algorithms including but not limited to Logistic Regression, Random Forest, XGBoost. Familiarity with modern deep learning approaches such as BERT, LSTM, and concepts in NLP and Transfer Learning. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from More ❯

core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯

developing and deploying AI/ML solutions in financial or data-intensive environments. Strong knowledge of Azure or other cloud-native architectures Hands-on experience integrating LLMs, APIs, and NLP technologies (e.g. Claude, OpenAI, Gemini, Foundry). Excellent problem-solving, communication, and stakeholder management skills. What they offer Competitive base salary (£100,000 £150,000) + bonus. Opportunity More ❯

that drive meaningful business outcomes. The Role As our Generative AI Engineer , you ll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. More ❯

functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with More ❯

functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with More ❯

core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯

automation experience. * Understanding of GMP/GxP data integrity and regulatory compliance. * Knowledge of scienti,ic ontologies, metadata standards, and knowledge-graph systems. * Experience with biomedical data curation or NLP tools. *Why This Role Matters* As Apeiron’s Data Architect, you will define the scientific data foundation that drives our research and manufacturing ecosystem. Your work ensures that every dataset More ❯

MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯