376 to 400 of 1,548 Natural Language Processing Jobs in the UK

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of innovative methods to simplify tasks More ❯

such as Python, R, SQL, Spark, TensorFlow, PyTorch, etc. Experience in working with large and complex datasets, both structured and unstructured, and applying advanced techniques such as deep learning, natural language processing, computer vision, or reinforcement learning. Expert knowledge of regression, classification and other machine learning techniques. A passion for innovation and continuous learning, and a willingness More ❯

gen models alongside an established US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with … problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes. Collaborate closely with US researchers teams to build, optimize, and maintain … for infrastructure components and systems Design and implement systems for reproducibility and traceability in data preparation Develop and maintain documentation and codebases. Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects Mentoring, interviewing and training junior members This is a truly unique opportunity to work with some of the brightest minds in the More ❯

Engineer will be a key addition to Causaly's AI organisation. You will work alongside an interdisciplinary team of experts to build scalable and robust solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. Responsibilities : Lead the development and … optimization of machine learning models and algorithms for processing and extracting insights from scientific literature. Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance. Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency, and scalability. Participate in code reviews and ensure high-quality … with the latest research and advancements in machine learning and related fields. What we're looking for Strong analytical and proven problem-solving skills. Experience fine-tuning LLMs for NLP tasks in industry. Demonstrable industry experience delivering AI/ML frameworks for a product. Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain. Experience with DL More ❯

gen models alongside an established US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with … problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes. Collaborate closely with US researchers teams to build, optimize, and maintain … for infrastructure components and systems Design and implement systems for reproducibility and traceability in data preparation Develop and maintain documentation and codebases. Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects This is a truly unique opportunity to work with some of the brightest minds in the industry on a ground-breaking project More ❯

in a relevant field (such as mathematics, computer science, data science, etc). 5+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI Proven track record of developing creative and novel AI solutions that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour … prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training (fine turn) large language models, hands on experience More ❯

are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is More ❯

CI/CD pipelines, and containerization tools (e.g., Docker) Familiarity with data integration and management from multiple sources in a distributed system environment Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations A Bonus: Proficient in database management … and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within 4-5 hours of CET timezone More ❯

advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and More ❯

non-members Validity: 3 years Google Certified Professional Data Engineer The Google Certified Professional Data Engineer certification proves one's skills in developing and designing Google Cloud Platform data processing systems. The candidates should have knowledge of data engineering and the practical usage of Google Cloud products. No formal qualifications are explicitly stated but applicants are expected to have … years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should have enough knowledge and More ❯

non-members Validity: 3 years Google Certified Professional Data Engineer The Google Certified Professional Data Engineer certification proves one's skills in developing and designing Google Cloud Platform data processing systems. The candidates should have knowledge of data engineering and the practical usage of Google Cloud products. No formal qualifications are explicitly stated but applicants are expected to have … years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should have enough knowledge and More ❯

Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML … and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. More ❯

feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks More ❯

at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field. Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field. Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯