176 to 200 of 1,260 Permanent Natural Language Processing Jobs

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 ❯

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 ❯

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 ❯

and professional services. We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We’re currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data … science, to join us across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation’s AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance More ❯

and professional services. We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We’re currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data … science, to join us across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation’s AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance More ❯

and professional services. We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We’re currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data … science, to join us across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation’s AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance More ❯

and professional services. We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We’re currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data … science, to join us across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation’s AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance More ❯

similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret complex data and share insights clearly with both technical More ❯

best practices. Strong SQL skills; familiarity with Python or R for data analysis is a plus. Experience or keen interest in AI/ML tools, such as automated forecasting, NLP, or machine learning platforms. Solid understanding of financial and operational KPIs, especially those relevant to private equity and portfolio performance. Ability to work independently and collaboratively in a fast-paced More ❯

and Generative AI can drive meaningful business outcomes. Innovate & Build : Design, develop, and implement a portfolio of scalable AI solutions tailored to client needs, leveraging the latest advancements in NLP, Agentic AI and Generative AI. Collaborate & Deliver : Work closely with multidisciplinary teams, including Data Scientists, Software Engineers, and Business Strategists, to deliver impactful AI solutions. Educate & Inspire : Lead workshops and More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

our projects efficiently and effectively. The Data Scientist role combines data and analytics with applications knowledge. We make extensive use of advanced techniques including LLMs, Computer Vision; Neural Networks; NLP and advanced statistics. Education Qualification (Minimum) Bachelor's Degree in a STEM subject (typically, but not limited to: Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical/ More ❯