701 to 725 of 1,232 Natural Language Processing Jobs in the UK

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 ❯

come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of … BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer 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 ❯

cases and communicate value to senior stakeholders Required Experience: Proven experience managing AI/ML implementation projects in a complex organisation Strong understanding of AI technologies, including machine learning, natural language processing, and automation tools Experience working in financial services or similarly regulated industries Excellent stakeholder management and communication skills Ability to translate technical solutions into business More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from 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 ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from 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 ❯

of the best, most efficient use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of … data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and More ❯

is seeking to recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision … essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. Autonomy Desirable Knowledge, Skills and More ❯

Responsibilities: Partner with engineering and technology teams to identify opportunities for applying data science techniques to deliver measurable business value. Develop and deploy predictive models, time-series forecasting, and natural language processing solutions to address real-world operational challenges. Design and implement scalable data pipelines and frameworks to ensure data quality, accuracy, and integrity. Present findings and 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 ❯

speaker's emotions, leading to a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯