West Tolgus, Cornwall, United Kingdom Hybrid / WFH Options
Cooper Parry
practice in Machine Learning for both supervised and unsupervised algorithms Deep understanding of principles and best practice in machine learning, with a focus on NLP especially in sequence labelling tasks based on LLMs Experience of using open-source libraries e.g. Matplotlib, Plotly, Python resources for data analysis and representation Experience More ❯
they need and when. What you'll do Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP - blending traditional NLU techniques with GenAI Contribute to the data science chapter and help it address more complex problems that require new approaches to be … the significance of these results for decision making. Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP - blending traditional NLU techniques with GenAI A good working knowledge of the latest NLP and LLM techniques Experience with conversational AI systems and methodologies Understanding More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
they need and when. What you’ll do Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP – blending traditional NLU techniques with GenAI Contribute to the data science chapter and help it address more complex problems that require new approaches to be … the significance of these results for decision making. Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP – blending traditional NLU techniques with GenAI A good working knowledge of the latest NLP and LLM techniques Experience with conversational AI systems and methodologies Understanding More ❯
Job Description: Data Scientist – AI & NLP Innovation London (Hybrid) Our client is a dynamic investment firm using AI to reshape financial insight Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s … in a collaborative, inclusive, and mission-driven environment. Why Join? Be part of a newly established, fast-growing AI team Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs) Help automate and modernise business processes across a respected financial organisation Flexible, inclusive culture with purpose … driven values around environmental and social responsibility What You'll Do: Build and deploy AI applications that improve efficiency and deliver business value Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data Work across departments to identify and deliver impactful AI use cases Evaluate emerging models and More ❯
As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding … of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale More ❯
As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding … of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale More ❯
As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding … of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale More ❯
As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding … of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Avature
industry sectors. Enhancing foundation models to solve real sustainability challenges, including specialised foundation models for domain applications as well as enhancing capabilities of general language models. Design and test single- or multi-agent AI systems using cutting-edge benchmarks or develop solutions tailored to business-critical use cases. As … conferences. Required education Doctorate Degree Required technical and professional expertise Doctorate Degree in Computer Science (especially in Artificial Intelligence focusing on computer vision, LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Avature
industry sectors. Enhancing foundation models to solve real sustainability challenges, including specialised foundation models for domain applications as well as enhancing capabilities of general language models. Design and test single- or multi-agent AI systems using cutting-edge benchmarks or develop solutions tailored to business-critical use cases. As … conferences. Required education Doctorate Degree Required technical and professional expertise Doctorate Degree in Computer Science (especially in Artificial Intelligence focusing on computer vision, LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
IBM
multi-modal tasks, impacting high-impact industry sectors. Enhancing foundation models to solve real sustainability challenges, including specialized domain-specific models and improving general language models. Designing and testing single- or multi-agent AI systems using cutting-edge benchmarks or solutions tailored to business-critical use cases. You will … patents and publications in top-tier conferences. Required Technical and Professional Expertise Doctorate in Computer Science (especially in AI focusing on computer vision, LLMs, NLP, data generation), Physics, Mathematics, or a related field. Experience in benchmarking foundational models for real-world applications. Proficiency in machine learning frameworks such as PyTorch More ❯