226 to 250 of 301 Permanent Natural Language Processing Jobs

reasonable adjustment/acc ommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this c onfidentially, please email loomberg.net (Americas), loomberg.net (Europe, the Middle East and Africa), or loomberg.net (Asia-Pacific More ❯

reasonable adjustment/acc ommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this c onfidentially, please email loomberg.net (Americas), loomberg.net (Europe, the Middle East and Africa), or loomberg.net (Asia-Pacific More ❯

years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry Experience with AI Agent frameworks and patterns Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization) Experience with … NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications Experience in a fast-paced, agile environment managing uncertainty and ambiguity. Proficiency in Python and experience delivering minimum viable products in a large enterprise environment Experience developing libraries More ❯

class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation … or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance More ❯

class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation … or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance More ❯

Job Description The Data Engineer analyzes complex and unstructured data using advanced data engineering techniques to develop and maintain data and deployment pipelines. This role uses knowledge of data processing, prototyping, and architecture methods to help solve real-world problems. The Data Engineer will work with Data Scientists and internal/external customers to collect and understand diverse types … the creation of new products, services, and insights using predictive models. Write independent source code, validate, and test for model quality improvement. Utilize machine learning, artificial intelligence, classification, regression, NLP, etc. Data analysis using Python, Database Systems (such as SQL), and Azure cloud tools to contribute towards solving data analytics problems. Perform data wrangling and processing from multiple databases More ❯

comprehensive QA strategies for AI-enabled software systems, including testing for model accuracy, bias, drift, and output consistency. Design test cases for APIs or UIs that consume predictions from NLP models, classifiers, or AI assistants. Validate data flows from ingestion pipelines through model inference and response rendering across multiple systems. Partner with data engineers and scientists to verify pre-processing More ❯

Ventures (Sennder, Stord, Gatik). What You'll Do: Lead the design and deployment of end-to-end ML systems for enterprise applications, from experimentation to production. Apply large language models effectively: Fine-tune and evaluate LLMs for domain-specific tasks. Develop robust prompt engineering and orchestration strategies. Optimize inference pipelines for latency, throughput, and cost-efficiency. Write production … scripting. You'll be skilled in supervised and unsupervised learning, model evaluation, and feature engineering. Knowledgeable in Deep Learning frameworks like PyTorch, with experience in various neural networks and NLP models. Exposure to generative and multi-modal models is a plus. A practitioner of MLOps, experienced in model serving, orchestration (Kubernetes), and experiment tracking. You'll be capable of designing … on cost optimization and reproducibility. Equipped with a solid foundation in linear algebra, probability, statistics, and calculus. An effective communicator who can translate complex technical concepts into clear business language and work collaboratively with non-technical stakeholders. You'll also be expected to provide technical leadership and mentor colleagues. This role might not be for you if You're More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy - leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy-leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy-leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

complex datasets, developing APIs, and leveraging AI to enhance operational efficiency and deliver actionable insights. Technical Skills: Programming Languages: Python, OOPs, SQL Machine Learning Skills: Machine Learning, Deep Learning, NLP, Computer Vision, Data Preprocessing, Predictive Modelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Transfer Learning, Computer Vision, Image Processing, Image Classification, Object Detection, YOLO v8, SAM, Stable Diffusion (2.1 More ❯

Senior Research Scientist - AI/ML & Signal Processing Location: Great Baddow (Hybrid, 2 days onsite per week) Salary: Up to £70,000 + benefits We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML algorithms … and statistical signal processing techniques , with applications across sectors including space, defence, security, and commercial industries. You'll work at the forefront of innovation, applying advanced machine learning and data science techniques to time-series, sensor and sequential data , delivering high … impact research, prototypes, and demonstrators. You'll also collaborate with academic partners and multidisciplinary teams working across areas such as radar, sonar, RF, distributed sensing, reinforcement learning, computer vision, NLP, and generative AI. Key Responsibilities Lead delivery of technical research projects, mentoring junior researchers. Develop prototypes, proof-of-concepts, and novel inference algorithms. Produce technical reports, proposals, and present findings More ❯

Senior Research Scientist - AI/ML & Signal Processing Location: Great Baddow (Hybrid, 2 days onsite per week) Salary: Up to £70,000 + benefits We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML algorithms … and statistical signal processing techniques , with applications across sectors including space, defence, security, and commercial industries. You'll work at the forefront of innovation, applying advanced machine learning and data science techniques to time-series, sensor and sequential data , delivering high … impact research, prototypes, and demonstrators. You'll also collaborate with academic partners and multidisciplinary teams working across areas such as radar, sonar, RF, distributed sensing, reinforcement learning, computer vision, NLP, and generative AI. Key Responsibilities Lead delivery of technical research projects, mentoring junior researchers. Develop prototypes, proof-of-concepts, and novel inference algorithms. Produce technical reports, proposals, and present findings More ❯

Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Scientific publication track record at top-tier AI/ML/NLP conferences or journals PREFERRED QUALIFICATIONS Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Development & Innovation: Identify and implement opportunities where AI can create tangible value for customers. Design and develop production-grade AI solutions that automate complex tasks. Build and optimize advanced NLP models for document analysis and interpretation. Contribute to finding the right ML framing of industry challenges. Create scalable AI systems that can handle diverse requirements across different markets. Technical Leadership … and infrastructure best practices, with a focus on the ML software development lifecycle. Expertise in building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems using frameworks like Hugging Face and OpenAI SDKs. Strong background in modern deep learning techniques, LLMs, and data-intensive applications. Familiarity with state-of-the-art agentic AI frameworks More ❯

JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP and Multi-modal deep learning Exposure to projects integrating human sciences (e.g. sociology, behavioural, cognitive, neuroscience) Familiarity with spatial analysis algorithms (e.g. space syntax) Learn More About Autodesk Welcome to More ❯

leverage the modern heterogeneous computing environment which includes our revolutionary computing chips. Work closely with Machine Learning Scientists to develop and productize novel machine learning algorithms for computer vision, NLP, and recommendation applications. Work with the Field Engineering team to understand real world customer scenarios and provide guidance on model architecture and implementations that take advantage of our hardware. Understand … analyze, and exploit the interplay between machine learning accelerator software and hardware, including data preprocessing, streaming, batching, quantization, adaptors, and distributed workloads for Large Language Model (LLMs.) Create Lightmatter-specific tools that can interoperate between Machine Learning ML frameworks. Minimum Requirements Masters degree in Computer Science, Machine Learning, or related discipline, or foreign degree equivalent, plus four (4) years More ❯

allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key … Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs), to enhance our products and … services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine what works (and what doesn't). A super-bright, supportive, and friendly machine learning More ❯

Description Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. Requirements Clearance Required Top Secret SCI w/Full Polygraph Bachelor's … skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment More ❯

make faster, smarter decisions and better serve their clients and constituents. The Information Enrichment & Content Generation (IECG) Team builds scalable ML solutions for two key areas: Information Enrichment: Traditional NLP use-cases such as Named Entity Recognition/Disambiguation, classification, topical modeling etc. Content Generation: Generative use-cases such as Summarization, Drafting new documents, Generating legal insights, on-point recommendation … legal contracts, analyzing the congressional budget along with government's actual spending and generating insights to support tax positions. To solve these, we apply a range of ML/NLP techniques including statistical models, deep neural networks, language models & third-party generative LLMs. We work closely with product managers, software engineers and domain experts in an agile environment. In … our clients' needs. You will collaborate with product managers and domain experts to understand business problems and translate those into appropriate ML problems. You will research groundbreaking ML/NLP techniques and apply them to our business problems. You will collaborate with domain experts to gain valuable insights and use their expertise to get high quality annotated training data. You More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯