12 of 12 Remote Permanent Text Mining Jobs

and to improve data quality. Explore, analyse and transform complex land and property data in a range of formats and structures and in particular, process semi- or unstructured legal text to extract meaningful information. Document methodologies to deliver reproducible and explainable work. Use suitable evaluation strategies and metrics to evaluate outputs. Gather feedback and monitor the continued performance and … Success Technical: We will assess you against the following bolded Experience and Technical skills during the application and all during the assessment process: Proficient at SQL querying, including full text search. Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM … Strong analytical skills and experience with ability to critically select, combine and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life More ❯

to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will … customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities … of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine More ❯

and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world … applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning, including predictive, causal or neuro-symbolic models. NLP techniques, including information extraction, text mining, and entity linking. Experience with transformer-based models is a plus. Application of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm More ❯

and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world … applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning, including predictive, causal or neuro-symbolic models. NLP techniques, including information extraction, text mining, and entity linking. Experience with transformer-based models is a plus. Application of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm More ❯

and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world … applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning, including predictive, causal or neuro-symbolic models. NLP techniques, including information extraction, text mining, and entity linking. Experience with transformer-based models is a plus. Application of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm More ❯

SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will … customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities … of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine More ❯

Skills & Experience: PhD qualified with a minimum of 4 years’ postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable More ❯

Skills & Experience: PhD qualified with a minimum of 4 years' postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable More ❯

for personal development and skill-building What you'll bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML More ❯

with 4+ years’ postdoc or commercial research experience • Track record of leading R&D teams (5+ developers) and delivering to defence or government customers • Deep understanding of knowledge graphs, text mining, NLP, and/or graph neural networks • Strong Python development skills and proficiency with ML frameworks (PyTorch, TensorFlow) • Proven experience applying ML to real-world problems and More ❯

with 4+ years' postdoc or commercial research experience Track record of leading R&D teams (5+ developers) and delivering to defence or government customers Deep understanding of knowledge graphs, text mining, NLP, and/or graph neural networks Strong Python development skills and proficiency with ML frameworks (PyTorch, TensorFlow) Proven experience applying ML to real-world problems and More ❯

etc.). Knowledge and experience working in the higher education research sector. Knowledge of emerging techniques for improving and/or automating elements of the literature searching process, including text mining, citation analysis, and web scraping. Terms of appointment An initial contract will be granted for three months from the start date. The scope of the assignment and More ❯