1 to 25 of 216 Permanent Natural Language Processing Jobs in London

Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and … check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity More ❯

end ML projects, from early experimentation to production deployment. Comfort with ambiguity, and the ability to shape, test, and validate product ideas in fast-moving environments. Deep expertise in NLP and GenAI, including Transformers, LLMs, RAG architectures, fine-tuning, and/or agent-based workflows. Hands-on experience with recommendation systems or search-based applications. Strong collaboration skills, with a … track record of working effectively across data science, engineering, product, and design. Experience processing and leveraging large, messy, unstructured datasets and making sense of them through ML. Excellent technical leadership, communication and mentorship skills, with the ability to bring others along on complex AI initiatives. Experience with modern software engineering and MLOps practices, including CI/CD, automated testing More ❯

Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive … non-technical people across the organization. Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners. Natural curiosity to understand the world around you and question as needed. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

innovative data science solutions, powered by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of small proof of concepts and … Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE DOING Develop innovative data science … models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond Proactively and continuously identify and propose ways to improve More ❯

improve. Publications or open-source contributions? Even better-we value original thinking. Desirable Skills: Experience in quant trading (especially eFX) or alpha research. Natural Language Processing (NLP) and Large Language Models (LLM) expertise. Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock. You may be assessed on the key critical skills relevant for this role More ❯

mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered tools that enhance efficiency across …/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing More ❯

helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and … productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing efficiency and quality of our data output Deploy pipelines in cloud environments and develop as a cloud technologist, as our world becomes increasingly reliant on cloud technologies Produce detailed More ❯

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 ❯

on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any More ❯

Sr. 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 are looking for highly motivated applied scientists and engineers … thinker and a strong communicator. 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) 's mission is to enhance and update the representations of products and related information in the Search index, via the use and understanding of new and existing … AI, Statistics, or equivalent) and 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 empowers Amazonians to deliver the More ❯

test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects involving Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Write clear, well-organized documentation for code, models, datasets, and workflows. Participate in team More ❯

As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc. More ❯

As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you... Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc. 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 ❯

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 ❯

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 ❯

it to form the hypothesis and validate it using data. • 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. • Collaborate with seasoned Applied Scientists and propose best in class LLM solutions for business requirements … 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 ❯

similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret complex data and share insights clearly with both technical More ❯

collaboration with qualitative researchers (e.g., ethnographers, human factors specialists) and research scientists and/or data scientists Experience mentoring other researchers and driving team excellence Experience with generative AI, NLP, and its applications in research Domain expertise in streaming/entertainment and/or commerce Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and … degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion More ❯

day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and … degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion More ❯