151 to 175 of 904 Natural Language Processing Jobs in London

of science for a more prosperous and sustainable future. With our ingenuity, drive, and deep curiosity, we discover new insights, innovations, and solutions that efficiently and responsibly address complex natural resource, digital, energy transition, and infrastructure challenges. Job Details We are seeking skilled and innovative individuals to join our dynamic team. This role is ideal for those with a … and drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You will collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt … Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong More ❯

an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching … clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA … Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. More ❯

Scientist within J.P. Morgan AI Research, you'll work on novel techniques, tools, and frameworks to model and solve complex large-scale problems. You'll collaborate with experts in Natural Language Processing and contribute to high-impact business applications and the broader AI community. You will work on multiple research projects in collaboration with internal and external … prominent AI/ML or Software Engineering venues (e.g., conferences, journals). Strong expertise in specialized areas such as deep learning (DL) or natural language processing (NLP). Practical experience with ML platforms such as TensorFlow/Keras, PyTorch. Comfort with rapid prototyping and disciplined software development processes. Practical software engineering experience in collaborative project settings. Hands … on experience developing and using large language models in a professional setting. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We More ❯

an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching … clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA … Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. More ❯

message the job poster from ADLIB Recruitment | B Corp Lead Senior Data Recruiter at ADLIB - B Corp Certified - Ambassador at MotherBoard Join a world-class team using ML and NLP to shape methodical research strategies High-impact role for a recent PhD graduate in a cutting-edge investment research team Work with large-scale data and the latest ML and … NLP frameworks Combine academic research with real-world application in a collaborative setting Join a leading investment management firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling. This position blends academic insight with practical … discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

Amazon looking to push the boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models (LLMs). We are looking … Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. … conference papers. Collaborate with engineers, product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

performance, reliability, and scalability. Design and implement data architectures for real-time search using OpenSearch. Develop strategies to handle large-scale data storage, retrieval, and analysis. AI and Large Language Models … LLMs): Lead efforts to integrate Large Language Models (LLMs) (e.g., GPT, BERT) into products and workflows. Implement AI/ML pipelines for natural language processing (NLP), recommendations, and automation. Evaluate and recommend new AI technologies to improve user experience and business outcomes. Web Scraping: Design and implement web scraping systems for gathering structured data from the … cloud infrastructure, particularly in scaling and securing applications. Expertise in database management, particularly with PostgreSQL and OpenSearch. Strong background in implementing and managing AI/ML systems, including Large Language Models (LLMs). Experience with web scraping tools and techniques, including managing legal, ethical, and performance considerations. Experience in agile development practices and working with cross-functional teams. Experience More ❯

capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations. If you have a passion for leveraging generative models and are excited about implementing cutting-edge … the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation. Key Responsibilities Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations. Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms). Implement and fine … tune large language models (LLMs) for domain-specific data analysis tasks. Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System. Stay current with the latest AI research and apply novel techniques to solve complex problems. Requirements MSc or PhD in Data Science, AI, ML, or Computer Science. 5+ years of experience in More ❯

CircleCI, GitLab, Azure DevOps). Up-to-date knowledge of security practices, standards, and protocols related to API development. Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability. Experience with API management platforms and tools (e.g., Apigee, AWS API Gateway, Postman). Deep expertise …/triggers in API systems. Familiarity with webhooks, message queues, and pub/sub systems. Ability to design API integrations that enable real-time data updates and notifications. Optional NLP experience (named entity recognition, text classification). Familiarity with mass tagging, document evaluation methodologies. Apply NLP techniques to API development for advanced text processing, automated document evaluations, and natural language search. Closing Date for Applications: Tuesday 1st April 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as More ❯

about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical … study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

teams and delivering results in a timely way. Demonstrable technical knowledge and skills in at least one of the following domains: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you would like to find out more about this fantastic opportunity, please read our Job Description and Person Specification! Please note: The … based on the lead criterion of candidates having demonstrable technical knowledge and skills in at least one of the following domains: mathematical modelling and simulations, machine learning, deep learning, natural language processing, Bayesian inference. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are More ❯

integrating PolyAI into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement … teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯