The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, naturallanguageprocessing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯
of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NaturalLanguageProcessing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build … of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical … experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage More ❯
will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and naturallanguage processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS , ICML , ICLR , SIGGRAPH, and other … TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications: 2D & 3D Generative AI Reinforcement Learning LLMs and NaturalLanguageProcessing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural More ❯
Analytics Platforms: Azure Data Fabric, Data Marketplace AI Technologies: AI conversational chat for reporting, AI-enabled shareholder analytics, NaturalLanguageProcessing (NLP), Deep Learning. More ❯
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using NaturalLanguageProcessing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology More ❯
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, naturallanguageprocessing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯
The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, naturallanguageprocessing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯
a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with NaturalLanguageProcessing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud More ❯
a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with NaturalLanguageProcessing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud More ❯
a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have NaturalLanguageProcessing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and More ❯
particularly in relation to demand and supply forecasting. Bonus: Experience in the energy or utilities industry. Exposure to NaturalLanguageProcessing (NLP) or other related fields. Familiarity with data engineering practices and working with large datasets. Benefits: Competitive salary and a stock options sign-on bonus. Biannual More ❯
of experience working in high-growth startup environments or top-tier engineering teams. Familiarity with machine learning and naturallanguageprocessing (NLP). A BS in Computer Science or equivalent experience. Ideal Traits Ability to thrive in a fast-paced environment and juggle multiple projects. Strong communication More ❯
analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and NaturalLanguageProcessing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯
analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and NaturalLanguageProcessing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯
working in professional services, ideally with law firms • Strong understanding of AI technologies such as machine learning models, naturallanguageprocessing (NLP), neural networks. • Excellent project management skills with the ability to manage multiple priorities simultaneously • Exceptional communication skills both written and verbal Please apply with CV More ❯
in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
s exciting and rewarding! The ML Engineer (NaturalLanguageProcessing) II is a mid-level role responsible for developing and maintaining NLP-based products. You will work closely with senior engineers and non-technical stakeholders, contributing to the entire lifecycle of NLP products, focusing on product design … DevOps, with good communication skills to demystify ML algorithms for both technical and non-technical audiences. Responsibilities Curation, cleaning, and maintenance of datasets for NLP models. Develop, optimize, and deploy NLP models. Collaborate with product stakeholders to capture and establish requirements for NLP models. Design NLP products for inference in … collaboration with product managers and engineering teams. Manage dataset requirements, data acquisition, annotation, and version control for NLP applications. Monitor ML models in production, set metrics to identify drift, and implement corrective measures. Implement tools for monitoring product inference performance. Maintain technical documentation related to datasets, models, and infrastructure. Engage More ❯
actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, naturallanguageprocessing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of More ❯
