226 to 250 of 411 Remote Natural Language Processing Jobs

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 ❯

AI/ML to drive technical excellence across projects in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and … You: PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This More ❯

thinking, technical understanding, and next-generation tooling to deliver faster, smarter product development. Requirements Key Responsibilities AI-Enhanced Requirements Definition: Use AI tools (e.g., GPT-based systems, requirements generators, natural language processing assistants) to draft, refine, and validate business requirements and user stories for the Expert platform Accelerated Documentation: Leverage AI to automate the creation of key More ❯

, sensor data fusion, RF and acoustic analytics, and more Publish findings (where appropriate) and help shape the direction of next-generation AI systems Collaborate with expert colleagues across NLP, CV, LLMs, knowledge graphs, and agent-based AI What We're Looking For A PhD (or equivalent industry experience) in a relevant discipline Strong background in AI/ML and …/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI/RS2 Postcode: CM1 1AG #dari More ❯

Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML … UK EYES ONLY) Bonus Experience (Highly Desirable): Radar, sonar, RF, or electromagnetic signal processing Electronic warfare, CEMA, or distributed sensing Space-domain awareness, autonomous systems, or edge ML NLP, knowledge graphs, generative AI or graph-based ML Academic publications, patent applications, or conference experience Why This Role? Join one of the UK's most forward-looking AI/ML More ❯

record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an organisation, we push More ❯

clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯

years working on large-scale ML codebases Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s) Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops Strong software-design instincts: testing, code review, CI/CD Self-starter, low-ego, collaborative Benefits France Competitive cash salary and More ❯

coding, prototyping, and learning on the job. This is the role for you if you're excited to: Build and deploy AI-driven internal tools using technologies like LLMs, NLP, generative AI, and automation frameworks Collaborate with teammates and cross-functional stakeholders (e.g. Product, Design, Marketing) to understand real business needs and translate them into technical solutions Stay hands-on More ❯

forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research … Reuters' core tax products, including CoCounsel for Tax , Checkpoint Edge , Cloud Audit Suite , SurePrep and ONESOURCE . About the Role: Senior Applied Scientists are experts in Machine Learning/NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize … Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building IR/NLP systems for commercial applications Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication, problem-solving, and analysis skills More ❯

Permanent Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

in London (2/3 days per week) Interview Process: 4 Stages Responsibilities: Designing and creating Data Science and AI solutions, including Generative AI, Machine Learning, Deep Learning, and Natural Language Processing to improve patient outcomes and care. Qualifications: Over 5 years of experience in Data Science and AI solution development, including Machine Learning and NLP. Minimum … of 1 year experience designing and implementing Large Language Model (LLM) solutions. Expertise in building production pipelines using Python. Excellent written and verbal communication skills. Prior experience working in healthcare. If interested, please apply via the link below. This is an opportunity not to be missed. #J-18808-Ljbffr More ❯

/2025 Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the 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 ❯

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) Interview Process: 4 Stages To be considered: Over 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 ❯

meet future growth. A significant focus of this role will be to identify and implement opportunities to embed Artificial Intelligence into our platform to enhance automation, decision-making, data processing, and client engagement. Key Responsibilities Lead the development, deployment, and maintenance of MES’s core web-based platform, built primarily using Node.js, React.js, and PostgreSQL. Architect and oversee scalable … cloud infrastructure using AWS (including EC2, RDS, S3, IAM, etc.). Spearhead the design and integration of AI-powered features into the MES platform, including automation, data analysis, document processing, and user-facing tools. Define and execute IT strategy, ensuring alignment with business objectives and regulatory requirements. Manage DevOps pipelines, CI/CD processes, security controls, and performance monitoring. … development, PostgreSQL for relational database design and optimisation and AWS services and infrastructure management. Familiarity with or interest in AI tools, frameworks, and APIs (e.g. LLMs, machine learning models, natural language processing). Deep understanding of web application architecture, security best practices, and RESTful APIs. Experience with deployment pipelines, Git-based version control, and issue tracking tools. More ❯

practical/work experience in the field. A PhD would be desirable. Skills and Experience Robust knowledge and demonstrable project experience in machine learning, and Generative AI/Large Language Models (LLMs) Detailed knowledge of the SDLC and models for measuring a software development team’s performance and quality Natural Language Processing Good communication skills at More ❯

Strong Efficacy experience Advanced knowledge of statistics, programming and/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you Global exposure Variety of therapeutic areas … United Kingdom 20 hours ago Stirling, Scotland, United Kingdom 2 days ago Edinburgh, Scotland, United Kingdom 2 days ago Edinburgh, Scotland, United Kingdom 1 week ago Senior Data Scientist (Natural Language Processing) Edinburgh, Scotland, United Kingdom 2 months ago Edinburgh, Scotland, United Kingdom 2 weeks ago Edinburgh, Scotland, United Kingdom 1 day ago Senior AI Architect 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 ❯

, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate … Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding … a strong possibility of extension. Inside IR35 . Apply Now: If you're a Machine Learning Engineer with a passion for applied AI in real-world environments, especially document processing, wed love to speak with you. Submit your CV or reach out for more details. More ❯

development funds, and more. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research More ❯

, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate … Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding … a strong possibility of extension. Inside IR35 . Apply Now: If you're a Machine Learning Engineer with a passion for applied AI in real-world environments, especially document processing, we’d love to speak with you. Submit your CV or reach out for more details. Seniority level Seniority level Not Applicable Employment type Employment type Contract Job function More ❯