176 to 200 of 315 Natural Language Processing Jobs

machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What More ❯

machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What More ❯

Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or More ❯

strategy, roadmap, and execution that gets us there. You'll collaborate with exceptional product, research, engineering, and deployment teams to ship production ready, LLM powered agents that feel as natural as talking to a human. If you're driven to solve real user problems, insist on truth seeking AI, and delight in turning frontier research into intuitive, trustworthy experiences … end user value. Be the bridge between customer problems and technical possibilities. Have a deep understanding of the customer and new technical breakthroughs to truly challenge the future of natural language interfaces. Drive go to market … for new vertical packs. Coordinate beta programs and launch kits to rollout new channels and drive OOTB ROI within specific verticals. Required Qualifications 4+years of product management delivering AI, NLP, or messaging products in production. Hands on background, comfortable reading Python, writing SQL, and debugging webhooks. You have a bias for action and experience using AI prototyping tools to test More ❯

/ML solutions and 8+ years defining long-term product/solution roadmaps with execution programs Hands-on experience with AI/ML workloads including machine learning, deep learning, NLP, CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon 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 ❯

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 ❯

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 ❯

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 ❯

client Setting out the required roadmap of initiatives for an organisation to transform to become more data-driven Expertise in AI/ML technologies, including supervised/unsupervised learning, NLP, LLMs, MLOps, and cloud-based AI platforms (Azure, AWS, GCP) Ability to shape and articulate compelling value propositions for AI initiatives Experience supporting large-scale AI programmes or portfolios, including More ❯

At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past.This allows us to … gain experience of company and culture creation in still early stage of our start-up journey. The Role: Provide scientific depth in a data science team including ML and NLP scientists and linguists. Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers. Drive innovation on tasks that are … in a specialised domain and do not conform to standard NLP tasks. Think creatively and innovatively to produce effective models and complete ML pipelines. Some problems you might work on: Automated flagging of cases where model predictions might be incorrect. Building more efficient data annotation strategies to fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP) Min More ❯

similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more More ❯

rich enterprise platforms. Strong expertise with Angular 12+, RxJS, NgRx, TypeScript, and SCSS/CSS3. Experience integrating with AI or machine learning services via REST APIs (e.g., chatbot platforms, NLP models, classification APIs). Experience building conversational UI, AI-assisted forms, dynamic UI rendering, or data visualizations (e.g., D3.js, Chart.js, ngx-charts). Familiarity with accessibility standards, especially when surfacing More ❯

and agentic models into real-world forecasting and product platforms. What youll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well treated bunch, with awesome benefits! If there More ❯

C# or similar Experience with big data analysis or machine learning applications in finance Experience or qualifications with cloud computing is a plus Experience or qualifications in ML/NLP Business Fluent in Spanish Salary Range = 175000 - 225000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time More ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's More ❯

engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and enforce … in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding More ❯

automation, and tasking systems On-site availability with limited telework flexibility Strong verbal, written, and technical presentation skills Preferred Qualifications: Experience with AI/ML applications (e.g., computer vision, NLP) Familiarity with geospatial tools such as ArcPro, Brewlytics, or similar Knowledge of NGA/NRO systems and operational collection architecture Experience with R, SQL, JavaScript, or HTML Experience supporting prototyping More ❯

ML experience? Have you worked in an Agile environment? This could be the next step for you!Requirements: Strong Python and ML experience. Familiarity with Agile and Git. Bonus: NLP, computer vision, cloud-native tech. Key Responsibilities: Design and implement data science solutions. Collaborate with teams and stakeholders. Apply machine learning and write clean, testable code. Perks: 35 days leave More ❯

in production with a focus on scalability, latency, and compliance .Collaborate with product and finance experts to translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. More ❯