426 to 450 of 785 Natural Language Processing Jobs in London

Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to £90,000 + Benefits More ❯

Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to £90,000 + Benefits More ❯

algorithms and approaches including AI/ML, mathematical and statistical methods to identify key toxicological features and patterns from large multimodal datasets. Apply natural language processing (NLP) and image analysis techniques to extract relevant information and insights from scientific literature and images. Employ graph theory and network analysis to understand relationships between chemical structures, biological pathways, and More ❯

Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning, and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2-3 days per week) Interview Process: 4 Stages To be considered: Over More ❯

data management, data governance, and data quality. Develop and maintain scalable data pipelines and infrastructure to support analytics and machine learning initiatives. Requirements Demonstrated ability to apply Machine Learning, Natural Language Processing, Data Mining, and/or Statistical methods to build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern … deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory frameworks related to AI (e.g., GDPR, CCPA). Experience as the SME in Data Science Multiple years of experience managing larger technical teams (direct or More ❯

software products, and 3 years of experience with software design and architecture. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products … and 3 years of experience with software design and architecture. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 5 years … of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Passion for fitness/health, with More ❯

the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. … programs that span across multiple catalog engineering teams. BASIC QUALIFICATIONS Bachelor's or Master degree in Engineering or related field Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl Experience building tools for automation (building, testing, releasing or monitoring) 1+ years of DevOps or SysOps in a large-scale software development … environment experience Strong debugging/troubleshooting skills PREFERRED QUALIFICATIONS Knowledge of and proficiency in the use of Python scripting language Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems Knowledge of AWS services and concepts Experience of working and collaborating with people in different timezones and experience in handoff process. Experience in software development lifecycle. More ❯

the tools and technology that empower content developers worldwide. What You'll Do You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key … for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating/applying machine learning algorithms for vision (2D or 3D) or language problems and deploying them as production-level systems Expert, hands-on knowledge of: Deep learning, incl. but not limited to applications in the gaming industry Foundational models and vision … and/or language, incl. local deployment of open models, continued training and fine-tuning cloud and local models Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible/agile/lean approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for More ❯

to build on the core foundation of our business as we expand our depth and breadth of coverage. Whether you are sourcing market data from new or existing providers, processing complex financial data or implementing technology solutions to enhance our processes and software, your work will expand your data management skills, research skills and bolster your financial knowledge. The … statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) – Effective project management skills and ability to prioritize tasks accordingly – Experience in Customer Service or Client Relationship Management Language requirements: – Speak a Sandinavian language. (If you speak multiple … European languages fluently, other than English, please indicate which language/s you speak on the application form.) Educational level: Bachelor’s Degree How to apply: Please mention NLP People as a source when applying http://jobs.bloomberg.com/job/London-Global-Data-Graduate-Analyst-London%2C-2015-Scandinavian-speaker-Job/245382600/?from=email&refid More ❯

and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience More ❯

execution, and management. As an Insight Team software engineer, your responsibilities will include: Designing and maintaining policies , which are configurable scripts written in Starlark (a Python-like embedded scripting language) that run on endpoints to detect signs of unauthorized or malicious activity. Continuously investigating new techniques to detect emerging forms of cybersecurity violations. Applying machine learning and statistical techniques … professional software engineering experience Experience with Java, C, C++, or similar languages, and an openness to learning Go Familiarity with Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest or background in data science , machine learning, statistical analysis, or natural language processing is a plus More ❯

to build on the core foundation of our business as we expand our depth and breadth of coverage. Whether you are sourcing market data from new or existing providers, processing complex financial data or implementing technology solutions to enhance our processes and software, your work will expand your data management skills, research skills and bolster your financial knowledge. The … statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) – Effective project management skills and ability to prioritize tasks accordingly – Experience in Customer Service or Client Relationship Management Language … requirements: – Fluent in either Czech, Slovak, Slovenian or Hungarian Educational level: Bachelor’s Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying http://jobs.bloomberg.com/job/London-Global-Data-Graduate-Analyst-London%2C-2015-Czech%2C-Slovak%2C-Slovenian%2C-Hungarian-languages-Job More ❯

2. Solution Design & Innovation: Design AI-based solutions for critical functions such as R&D, patient engagement, supply chain optimization, and operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. More ❯

and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience More ❯

data and powered by cutting-edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful datadriven Artificial Intelligence solutions in … Relevant degree in a technical discipline. Interest in & experience working with (applied) machine learning, e.g. few-shot learning with out-of-the-box language models, training of smaller NLP classifiers, etc. Excellent programming, debugging and system design skills. Excellent communication skills to report and present software designs and findings clearly, both orally and in writing. Curious and innovative disposition … data technologies such as Spark, Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For You? Hybrid Work Model: We More ❯

Experience of any of the following would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI … us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you’re deaf, a Language Service Professional. Feedback will only be provided if you attend an interview or assessment. Security Successful candidates must undergo a criminal record check. This job is broadly open to More ❯

Every business in the world, in every sector, needs to know who they are engaging with and Xapien helps them answer that question – quickly and accurately. We use deep Natural Language Processing, AI and huge scale cloud infrastructure to automate human research. We locate, collect, read, distil and assimilate hundreds of thousands of fragments of information – allowing More ❯

Trust in Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases - Elasticsearch, MongoDB … etc (bonus) Modern Data tools such as Spark/Beam (bonus) Streaming technologies such as Spark/Akka Streams (bonus) Tagged as: Industry , NLP , United Kingdom More ❯

the use of agentic GenAI. 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 performance, ensuring accuracy, fairness, and … 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 More ❯

rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and … functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and More ❯

rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and … functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and More ❯

an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You’ll Do Lead the end-to-end … leaders and domain experts to implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that drive growth and efficiency. Your ideal background 8-10+ years of AI leadership …/engineering experience, with a track record of delivering business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the Property & Casualty (P&C) insurance industry is a plus. Relevant experience in the insurance More ❯

the use of agentic GenAI. 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 performance, ensuring accuracy, fairness, and … 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 More ❯

to test hypotheses and drive product development. Keep up to date with applied research, contribute to knowledge sharing, and apply new techniques for prediction, information retrieval, text and image processing, causal inference, and optimization. Participate in team ceremonies (e.g., following the agile cadence, whiteboarding sessions, planning, and product roadmapping). Report and present technical findings to both technical and … and non-technical stakeholders. Passion for learning new skills and staying updated with applied ML developments. Bonus Points: Experience with pricing models, causal inference, or revenue optimization. Experience with NLP, image processing, information retrieval, and deep learning models. Experience with experiment design and conducting A/B tests. Experience with Databricks and PySpark. Experience working with AWS or other More ❯

some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government … and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to More ❯