151 to 175 of 1,074 Permanent Natural Language Processing Jobs

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 ❯

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 ❯

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 ❯

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 ❯

other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc. Strong academic record in a quantitative field (MEng, MSci, EngD or PhD). Excellent and proven communication and teamwork skills. Previous experience in high-growth technology companies or technical More ❯

both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection More ❯

scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling More ❯

working in cross-functional environments, across our offices in Manchester, Leeds, Birmingham, and London. Duties What your days will look like: Solution Development: Design, develop, and scale AI and NLP solutions addressing specific business needs, understanding requirements, assessing feasibility, selecting techniques, and creating scalable solutions. AI Strategy: Contribute to AI strategy by identifying opportunities for leveraging AI to innovate, improve More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data More ❯

administration, Azure development, and/or DevOps processes. Preferred Skills and Experience Proactive incident management with Azure-based troubleshooting. Python/Go/R. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Hands on experience in developing and implementing AI and Data cloud solutions. Education and Professional Skills Relevant Professional qualifications, such More ❯

proposals, including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

collaboration with qualitative researchers (e.g., ethnographers, human factors specialists) and research scientists and/or data scientists Experience mentoring other researchers and driving team excellence Experience with generative AI, NLP, and its applications in research Domain expertise in streaming/entertainment and/or commerce Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯