176 to 200 of 1,290 Natural Language Processing Jobs

implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to … solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers More ❯

Experience: Proven experience as a Product Owner or similar role, preferably in the AI or Generative AI space. Strong understanding of AI and Generative AI technologies, including machine learning, natural language processing, and computer vision. Excellent communication, presentation, and interpersonal skills, and the ability to work effectively with diverse and cross-functional teams. Strong analytical, problem-solving 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 ❯

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 ❯

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 ❯

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 ❯

a data science, ML engineering, or advanced analytics role, ideally in a mid or senior capacity. • Proficiency in Python or R, with experience as a polyglot or in multi-language environments. • Strong SQL skills and experience working with structured and unstructured data. • Experience … with cloud platforms such as Azure and GCP for deploying data science workloads. • Solid understanding of machine learning methods (supervised and unsupervised), model evaluation, and lifecycle management. • Experience with NLP tasks (e.g., sentiment analysis, entity recognition) and LLMs (e.g., GPT, Gemma). • Familiarity with LangChain (or equivalents), LLMOps, Databricks, and API management. • Understanding of TDD, modular design, authentication, version control 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 ❯

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 ❯

mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Our inclusive culture empowers Amazonians More ❯

at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field. Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field. Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯

at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯

poster from Greybridge Search & Selection Partner & Director of Analytics Recruitment I Organiser & Founder of "Leaders In Data" Roundtable & CIO Roundtable Group I Company scale up expert Applied Data Scientist (NLP) 9 Months Initial - Outside IR35 - Fully Remote - £350-400pd DOE. We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience … in GenAI/NLP to join them on a contract basis As an Data Scientist you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to: Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem. Independently determine appropriate data and More ❯

and implement solutions grounded in rigorous experimentation and practical impact. Key Responsibilities: ML & AI Development: Research, build, and deploy machine learning models (including generative AI) focused on structured data, NLP, and time series forecasting. Model Lifecycle Ownership: Own models from experimentation to deployment, including validation, monitoring, and iteration. Generative AI & LLMs: Design and evaluate retrieval-augmented generation (RAG) pipelines, embeddings … ML engineering. Requirements: ML Expertise: 5+ years of experience in machine learning, data science, or applied AI; strong grasp of supervised/unsupervised learning, deep learning, and probabilistic modeling. NLP & LLM Skills: Hands-on experience with NLP pipelines, vector stores, transformer models, and generative AI architectures. Production Experience: Demonstrated success in shipping and maintaining ML models in production, including performance More ❯

and implement solutions grounded in rigorous experimentation and practical impact. Key Responsibilities: ML & AI Development: Research, build, and deploy machine learning models (including generative AI) focused on structured data, NLP, and time series forecasting. Model Lifecycle Ownership: Own models from experimentation to deployment, including validation, monitoring, and iteration. Generative AI & LLMs: Design and evaluate retrieval-augmented generation (RAG) pipelines, embeddings … ML engineering. Requirements: ML Expertise: 5+ years of experience in machine learning, data science, or applied AI; strong grasp of supervised/unsupervised learning, deep learning, and probabilistic modeling. NLP & LLM Skills: Hands-on experience with NLP pipelines, vector stores, transformer models, and generative AI architectures. Production Experience: Demonstrated success in shipping and maintaining ML models in production, including performance More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

knowledge of cloud platforms (e.g., AWS, Azure, or GCP). A Bonus: Experience with graph databases such as Neo4j, Pinecone, or Milvus. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. Why Join Us: Join a pioneering joint venture at More ❯

extraction. Benchmark and tune state-of-the-art LLMs for performance and cost efficiency. Incorporate trends like instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; implement improvements. Own the ML-Ops for your Pod. Develop experiments for model evaluation and continuous improvement. Best … and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. More ❯