476 to 500 of 1,108 Permanent Natural Language Processing Jobs

edge LLM-based applications. This role is ideal for someone who’s passionate about applying AI to solve real enterprise problems and wants to work at the forefront of NLP and ML innovation. What can you expect to be doing? Build and deploy production-grade AI systems using large language models Design scalable retrieval and agentic architectures Collaborate with More ❯

applied AI. What You'll Be Doing Design and develop AI/ML solutions to enhance investment decision-making and automate analyst workflows. Build tools that improve semantic search, NLP, knowledge extraction, and internal research capabilities. Collaborate with portfolio managers, researchers, and data engineers to translate business problems into ML use cases. Implement, evaluate, and optimize LLM-based solutions, leveraging … PyTorch, TensorFlow, scikit-learn, or similar. Familiarity with LLM stacks and GenAI tools (e.g. LangChain, LlamaIndex, OpenAI API). Knowledge of vector databases, graph-based systems, and unstructured data processing is a plus. Background in building and scaling infrastructure in cloud environments (AWS preferred). Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related More ❯

complex AI concepts to non-technical stakeholders and contribute to developing user-friendly, business-facing solutions. Required Qualifications and Skills: Solid understanding of machine learning algorithms, deep learning, and natural language processing. Hands-on experience with Azure Machine Learning, Cognitive Services, and custom model development within Azure. Expertise with Microsoft 365 Copilot, including its integration with other Azure More ❯

Python and its data science stack. Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds … and professions A master's degree or higher Experience in NLP is a plus Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Some things you'll enjoy Stock grant opportunities dependent on your role More ❯

this role, we are looking for candidates with Master's degree in Artificial Intelligence or Computer Science or similar field, with work experience in the field of AI or NLP and following qualifications: Contribution to generative-AI products currently in production. Proven, deep expertise in taking AI or NLP-based applications from idea to production. Python-based, AI-centric frontend … AWS, and especially their AI offerings (Azure OpenAI and Bedrock). Familiarity with Terraform and/or cloud agnostic IaC. Experience with Google Cloud, Vector Databases, Semantic Search and Language Models would be a bonus. About the Department Our department comprises four key teams: AI Engineering, AI Enablement, Responsible AI, and Intelligent Automation, collaborating on everything from AI innovation More ❯

of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is now looking to recruit an experienced & passionate … including MS Office, Figma, Miro, Jira, Slack, and others. KPI-driven with proven ability to query, analyze, and understand data using required analytical tools. Communication & Presentation Excellence: Strong English language skills (spoken and written), with additional languages as a plus. Ability to present business and technical concepts clearly across verbal, written, and presentation formats, including sales pitches and internal More ❯

data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding … of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes Be Customer Focused - constantly improving our customers' experience I listen to my customers I use available data to help make decisions Be Human - acting with humanity and More ❯

in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment More ❯

economy of tomorrow. Job Description As a Staff Data Scientist specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with More ❯

in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment More ❯

scale machine learning or deep learning models and/or systems in a production environment - Experience in using Python, R or Matlab or other statistical/machine learning software language - Several year experience specifically with deep learning (e.g., CNN, RNN, LSTM, etc.) - Experience hiring or mentoring more junior colleagues PREFERRED QUALIFICATIONS - PhD degree in computer … science, engineering, mathematics, economics, or related technical/scientific field - Hands on experience building models with deep learning frameworks like PyTorch, or similar - Experience with machine learning, time series, NLP and CV solutions - Proven communication skills, presentation skills, and attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic work environment - Scientific thinking and the ability to invent More ❯

or digital enablement roles, with at least 2 years working with AI tools Hands-on experience with AI-driven platforms like Drift, Conversica, 6sense, and/or LLM/NLP enhancement tools. Crucially, the ability to understand how these tools integrate (data flow, API concepts) is essential, even if they're not building the integrations from scratch. Familiarity with Martech … go-to-market environment Background in change management, enablement, or internal communications Knowledge of AI ethics, compliance frameworks, or responsible AI guidelines Experience designing and optimizing prompts for large language models or generative AI platforms (e.g., OpenAI, Google Gemini, Adobe Firefly), ideally including proprietary in-house models. Familiarity with change management frameworks to effectively manage transitions and drive adoption More ❯

Strong understanding of the theory of generative AI systems e.g., LLMs, RAG, Graph networks Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying production machine learning pipelines Strong background in NLP techniques BS, MS or Ph.D. degree in Computer Science or related quantitative field Strong presentation skills More ❯

Data Scientist Salary: £100,000 - £130,000 + bonus + benefits Location: London - 3 days p/w in-office Tech: Python, AWS, Spark, Dataiku, Airflow, SnowFlake, ML/NLP, Predictive Modelling *Sponsorship is not on offer for this role The Company: Immersum are partnered with a high-growth data company that’s redefining how organisations engage with household and … in line with GDPR and industry standards What you’ll bring: 10+ years in data science or applied AI/ML roles, including senior leadership Deep expertise in ML, NLP, predictive modelling, and advanced analytics Strong programming ability in Python, with experience across cloud and data platforms (e.g. AWS, Spark, Dataiku) Commercial mindset and strong stakeholder engagement skills Passion for More ❯

Data Scientist Salary: £100,000 - £130,000 + bonus + benefits Location: London - 3 days p/w in-office Tech: Python, AWS, Spark, Dataiku, Airflow, SnowFlake, ML/NLP, Predictive Modelling *Sponsorship is not on offer for this role The Company: Immersum are partnered with a high-growth data company that’s redefining how organisations engage with household and … in line with GDPR and industry standards What you’ll bring: 10+ years in data science or applied AI/ML roles, including senior leadership Deep expertise in ML, NLP, predictive modelling, and advanced analytics Strong programming ability in Python, with experience across cloud and data platforms (e.g. AWS, Spark, Dataiku) Commercial mindset and strong stakeholder engagement skills Passion for More ❯

development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc. 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 ❯

Developing data initiatives in line with wider business strategy Engaging with senior business leaders and technology management to design a Target Data Operating Model Developing the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimising existing technology to support/develop the ongoing data architecture roadmap in relation to business operations Enhancing the … ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at 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 ❯

entrepreneurial, world-class leadership team. As Associate Director of Artificial Intelligence, you’ll drive and execute the company’s AI strategy—leading initiatives that harness 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 landscape, using AI/ML to deliver … fields (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced Retrieval-Augmented Generation (RAG) 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 ❯

Science function, you’ll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new and exciting problems — from customer personalisation models to forecasting and NLP use cases. You’ll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions … years of experience in Data Science or a related field Strong programming skills in Python and PySpark Strong data science modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and More ❯

our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data … based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working More ❯

DVC, Airflow) Ability to work independently and manage time effectively in a hybrid work setting Fluent in English; French or Dutch is a plus Nice to Have Experience with NLP, computer vision, or time series forecasting Background in data engineering or software development Previous work in finance, healthcare, or logistics sectors More ❯