201 to 225 of 265 Natural Language Processing Jobs in London

GenAI, deep learning, and machine learning to address business challenges and elevate product performance. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business. Develop and deploy machine learning and Gen AI solutions to meet enterprise … engineer (5+ years). Prior experience developing production quality Python is essential. Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines. Strong adherence to software and ML development fundamentals (e.g., code quality considerations, automated testing, source … holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Company: Fitch Group Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience More ❯

World drive raw data to insight, within the portfolio across several offerings including, Privacy Analytics, Patient Data Platforms, Patient data licensing (EMR & Claims), IQVIA NLP and OMOP ODHSI Responsibilities Achieve individual annual sales target based on selling to Pharmaceutical clients across the offering suite to attain TCV quotas as assigned. More ❯

with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like Tableau or PowerBI. More ❯

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 … 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 More ❯

the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks/Data QI and SQL … for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review More ❯

machine learning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects of these initiatives to the business needs. This includes translating between technical and nontechnical audiences. …/MLOps experience would be valued. Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and More ❯

looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We're currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ … across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive More ❯

Applied Scientist, Core Search NLP Document Enhancement Amazon Search owns the global search engine for the Amazon shopping site. The Japan team improves the search engine and related systems with new data sources, cutting-edge language models, and Document Understanding features to enhance the search experience and UX. We … Working in this position will involve collaborating with engineers and scientists in the US, Europe, and other places. About the team The Core Search NLP Document Enhancement (DocE) mission is to enhance and update the representations of products and related information in the Search index, via the use and understanding … 5+ years of experience working in data science in a consumer product company. - Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval. - Publications in top-tiered academic conferences and journals. - Knowledge of AWS products for MLOps. Our inclusive culture More ❯

non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied … to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills … in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using More ❯

of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most 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 More ❯

science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short … essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in More ❯

content in across Alexa. We are looking for a passionate, talented, and inventive Data Scientist-II to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring good learning and generative models knowledge. You will be working with a team of exceptional Data Scientists working … to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied … scientists to design and implement principled strategies for data optimization. Key job responsibilities A Data Scientist-II should have a reasonably good understanding of NLP models (e.g. LSTM, LLMs, other transformer based models) or CV models (e.g. CNN, AlexNet, ResNet, GANs, ViT) and know of ways to improve their performance More ❯

to form and validate hypotheses. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned Applied Scientists and proposing best-in-class … 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 of relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse More ❯

team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to … tasks that can be performed by you and others. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience with prompting More ❯

Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research … and help direct reports grow and contribute to the wider group. Innovate : You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a … publications in top-tier conferences or other influence in the research community. 5+ years of hands-on experience leading teams building advanced ML/NLP/IR systems in academia (e.g. through student supervision) or for commercial applications. Extensive experience with deep learning and large-scale model training. Experience working More ❯

and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++ … Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms More ❯

maintain code and technical specifications. About you You are a passionate and innovative problem-solver with a deep fascination for the potential of Large Language Models. You possess a strong understanding of prompt engineering principles and are eager to experiment with cutting-edge techniques. You thrive in a fast … Qualifications and experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of prompt engineering principles and techniques. Excellent analytical and problem-solving skills, with a … adapt quickly to the rapidly evolving field of LLMs. Desirable but not essential: Experience with fine-tuning LLMs. Contributions to open-source LLM or NLP projects. Experience of working with health data and adhering to regulatory requirements. Familiar with IPaaS platforms for prototyping. Experience in working in healthcare software development. More ❯

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 … 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 More ❯

and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas … Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes Core Behaviours Be Customer Focused: Constantly improving our customers' experience Be Human More ❯

are committed to ensuring that new cures are accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data … Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate More ❯

to customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms … monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A More ❯

to customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms … monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A More ❯

technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. Collaborate with data scientists, engineers, and third-party vendors to ensure solutions … of investment decision-making and risk management. Experience working with or guiding technical teams (data scientists, ML engineers) and understanding key technologies (e.g., Python, NLP, LLMs), even if not building solutions directly. Track record of delivering strategic value through technology innovation, ideally in complex, data-rich environments. The successful candidate More ❯