126 to 150 of 1,092 Permanent Natural Language Processing Jobs

message the job poster from ADLIB Recruitment | B Corp Lead Senior Data Recruiter at ADLIB - B Corp Certified - Ambassador at MotherBoard Join a world-class team using ML and NLP to shape methodical research strategies High-impact role for a recent PhD graduate in a cutting-edge investment research team Work with large-scale data and the latest ML and … NLP frameworks Combine academic research with real-world application in a collaborative setting Join a leading investment management firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling. This position blends academic insight with practical … discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or More ❯

that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM) to develop innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative algorithms, and discovering actionable insights … and transactions. Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping. Define and conduct experiments to validate/reject hypotheses, and communicate insights and More ❯

experience will be advantageous: Experience with cloud platforms such as AWS, GCP, or Azure Familiarity with deep learning architectures and frameworks Knowledge of natural language processing (NLP) or computer vision (CV) Prior experience working in a remote or distributed team environment More ❯

database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit … using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong understanding of More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. To do this … for their role and compensation decisions are dependent on the facts and circumstances of each case. What You'll Do: Design core, backend software components that powers the Kensho language models and other products Build tools to empower the engineering teams Code using primarily python, jsonnet, and other languages Collaborate with other teams to gather requirements and support their … Our Attention: Your github account showing practical, entrepreneurial initiative You have experience building distributed systems or have collaborated on a team developing internal tools You have experience building systems processing large amounts of data You have experience productionizing large machine learning models (LLMs) You have experience in MLOps Technologies We Love: Kubernetes, Terraform, Grafana, Prometheus, Kafka, PostgreSQL Ubuntu linux More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon. You'll publish papers, file patents, and work closely with … of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/ More ❯

teams and delivering results in a timely way. Demonstrable technical knowledge and skills in at least one of the following domains: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you would like to find out more about this fantastic opportunity, please read our Job Description and Person Specification! Please note: The … based on the lead criterion of candidates having demonstrable technical knowledge and skills in at least one of the following domains: mathematical modelling and simulations, machine learning, deep learning, natural language processing, Bayesian inference. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are More ❯

complex analysis into business-friendly insights. Passion for solving real-world problems using data and a curiosity for legal or regulated sectors. Bonus Skills Familiarity with generative AI or natural language processing tools. Experience working in a service-led or consulting environment. Understanding of data ethics, governance, and responsible AI use. Please Note Right to work in More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

services environment, with demonstrable delivery of measurable business outcomes Strong technical expertisein Artificial Intelligence and Machine Learning, including: Supervised/unsupervised learning, deep learning, andnatural language processing (NLP) Model development using frameworks such asTensorFlow,PyTorch, orscikit-learn Experience deploying AI models in production environments usingMLOpsprinciples (e.g., MLflow, Azure ML, SageMaker). Hands-on experience with automation and orchestration More ❯

the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock business value. Demonstrable More ❯

gen models alongside an established US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with … problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes. Collaborate closely with US researchers teams to build, optimize, and maintain … for infrastructure components and systems Design and implement systems for reproducibility and traceability in data preparation Develop and maintain documentation and codebases. Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects Mentoring, interviewing and training junior members This is a truly unique opportunity to work with some of the brightest minds in the More ❯

Engineer will be a key addition to Causaly’s AI organisation. You will work alongside an interdisciplinary team of experts to build scalable and robust solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. Responsibilities : Lead the development and … optimization of machine learning models and algorithms for processing and extracting insights from scientific literature. Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance. Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency, and scalability. Participate in code reviews and ensure high-quality … with the latest research and advancements in machine learning and related fields. What we're looking for Strong analytical and proven problem-solving skills. Experience fine-tuning LLMs for NLP tasks in industry. Demonstrable industry experience delivering AI/ML frameworks for a product. Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain. Experience with DL More ❯

gen models alongside an established US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with … problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes. Collaborate closely with US researchers teams to build, optimize, and maintain … for infrastructure components and systems Design and implement systems for reproducibility and traceability in data preparation Develop and maintain documentation and codebases. Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects This is a truly unique opportunity to work with some of the brightest minds in the industry on a ground-breaking project More ❯

features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning … ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals … of reasonable adjustment/accommodation 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 confidentially, please email EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa). Alternatively, you can get More ❯

in a relevant field (such as mathematics, computer science, data science, etc). 5+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI Proven track record of developing creative and novel AI solutions that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour … prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training (fine turn) large language models, hands on experience More ❯

As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn More ❯

for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce More ❯

that directly impact a mission-critical defense IT system. Your expertise in advanced analytics and AI will help architect the intelligence layer of the platform-powering large-scale document processing, search, and classification at unprecedented speed and scale. This role puts you at the forefront of innovation, enabling the implementation of LLMs and streaming pipelines that handle millions of … while driving forward a robust, intelligence-driven infrastructure that advances the mission. You Have: • 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience with production-level systems, data lake environments, and streaming data More ❯