26 to 50 of 284 Natural Language Processing Jobs

engineering experience designing, developing, and maintaining scalable enterprise applications and cloud-native solutions. Strong proficiency in Python development, including backend services, APIs, automation, data processing workflows, and production-ready AI/ML applications. Strong skills in system design and architecture, including scalable, resilient, secure, and maintainable solution design. Experience … Algorithms, Identity Management (IdM), Internal Auditing, Knowledge Management, Machine Learning (AI), Model Explainability, Multi-modal Machine Learning Models, Natural Language Processing (NLP), Neural Networks Methods and Algorithms + 20 more Education: Master's Level Degree: Artificial Intelligence and Robotics (Required) The future is what you make ...

Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type ...

build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve … AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.* Experience in any of the following ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

customer service, supply chain optimization, recommendation systems, and internal operations. Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. Conduct research and experimentation with … proficiency in programming languages such as Python, Java, or C++. In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures ...

trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation …/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Hands-on experience working ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience designing evaluation frameworks for LLM use cases ...

patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models are explainable, validated, and compliant with internal governance … business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer ...

Data Visualisation Statistical Analysis and Modelling Business Intelligence Exploratory Data Analysis (EDA) Predictive Analytics Machine Learning Algorithms Natural Language Processing (NLP) Deep Learning Fundamentals Ethical and Responsible AI Prompt Engineering and Generative AI Data Governance, Security and Privacy Cloud-based Data and Analytics Solutions Data Storytelling ...

Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting … analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness ...

contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical engine. We are seeking an algorithmic … preserving top performers. Key Responsibilities Algorithm C Index Design: Develop and tune semantic matching algorithms, recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside ...

contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical engine. We are seeking an algorithmic … preserving top performers. Key Responsibilities Algorithm C Index Design: Develop and tune semantic matching algorithms, recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside ...

advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends ...

advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends ...

services. As a Graduate Technical Engineer : You'll Gain Exposure To Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT/M2M Solutions Unified Communications & Contact Centre Technologies IT Security & Enterprise Infrastructure You'll also have the opportunity to develop your programming ...

technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

closely related role Strong experience working with Python and the ability to write production-quality code Commercial or substantial project experience working with Large Language Models Experience with LangChain and/or LangGraph Familiarity with machine learning frameworks, model deployment, and inference technologies Experience using Python data and matrix …/GPU Optimisation/Rust/ort/Model Inference/Model Acceleration/Deep Learning/Natural Language Processing/NLP/Generative AI/Computer Science/Mathematics/Physics/Engineering/Machine Learning Degree RedTech Recruitment Ltd focus on finding roles for Engineers ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

internal teams effectively. Primary Skill Set Generative AI Expertise : Good understanding of modern Generative AI techniques and foundation models, including transformer-based Large Language Models (LLMs), diffusion models, and multimodal models, as well as earlier architectures such as GANs and VAEs. Proven experience applying these techniques to real-world … decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection Robotics: reinforcement learning, motion ...

Additional Preferred Qualifications: Proven ability to build relationships, lead cross-functional teams, and influence decision-making Familiarity with AI/ML concepts (such as Natural Language Processing, Generative AI, Large Language Models, or equivalent technologies) and proven experience in integrating AI solutions into product roadmaps ...

GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Qualifications: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Track record: Proven track record of delivering AI solutions from research to production … financial services or other regulated industries is highly desirable. Experience: Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases ...

GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.# ****About You******Qualifications*** Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.* Proven track record of delivering AI solutions from research to production in real-world … financial services or other regulated industries is highly desirable.**Experience*** Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI.* Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.* Experience in building knowledge bases ...

performance, interpretability and appropriate use of AI, in line with organisational standards and expectations. Promotes the adoption of modern AI techniques, including machine learning, natural language processing and advanced analytics, where appropriate to business needs. Champions effective software engineering practices, including modular design, reuse of components … Studio. Well-versed in modern machine learning approaches, MLOps practices and cloud-based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices and implementing end-to-end ML pipelines on cloud platforms. Demonstrates experience of cloud platforms ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch … streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands‐on experience in implementing distributed/multi‐threaded/scalable applications Track record of developing, deploying business‐critical machine learning models #J-18808-Ljbffr ...

from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services ...