estate, proptech, or smart buildings Familiarity with ML ops practices and tools (e.g., MLFlow, Airflow, DVC) Ability to handle geospatial data, time series, or IoT data streams Interest in NLP, recommendation systems, or clustering algorithms Join Us : This is a unique opportunity to join a dynamic team fully integrated with our startup partner and work on cutting-edge projects in More ❯
London, England, United Kingdom Hybrid / WFH Options
Delta Capita
in driving decision making such as predictive analytics, machine learning and AI and working across data programmes. You’ll be excited to utilise proprietary technology such as our ecosystem NLP tooling to solve client problems. Identify potential business opportunities within existing and new clients. Collaborate with the Sales and Marketing teams and Consulting leadership to develop campaigns, respond to RFPs More ❯
cutting-edge AI initiative in the reinsurance industry. About the role This is an exciting opportunity for someone with a postgraduate/doctoral degree in Computer Science, Machine Learning, NLP, Computer Linguistics, or a closely related field. The post holder will lead a cutting-edge innovation project that aims to revolutionise the non-catastrophe insurance market by leveraging LLMs to More ❯
product management, as well as technical messaging with marketing as the voice of the customer. Strong understanding of AI/ML concepts, techniques & infrastructure (learning models, LLM, GenAI, AGI, NLP, neural networks, deep learning, AI Frameworks, GPU and DPU). Strong knowledge of customer networks, their current challenges, ability to act as consultant and guide the customers - particularly Service Providers More ❯
market and our users on the product changes through clear and concise documentation, demo videos, presentations, etc. ABOUT YOU You have experience working in deeply technical domains (e.g. ML, NLP, Voice, Security, Data Engineering). You know your way around the Conversational AI industry. You have a good understanding of how ML models are built and evaluated. You are aware More ❯
London, England, United Kingdom Hybrid / WFH Options
AVEVA
ago London, England, United Kingdom 4 weeks ago Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning London, England, United Kingdom 4 days ago NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence London, England, United Kingdom 4 days ago Associate (Risk, Investigations & Analytics practice) London, England, United Kingdom More ❯
full lifecycle—from business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key More ❯
My client is seeking an experienced and self-motivated Prompt Engineer to join their team and contribute towards the development of an innovative new product, leveraging AI technologies, including NaturalLanguageProcessing and machine learning. As the Prompt Engineer, you will be responsible for designing, crafting, and optimizing prompts that guide our AI systems to generate accurate … role demands a unique blend of creative writing skills, technical expertise, and analytical thinking to push the boundaries of AI-powered language generation. Person Specification: Strong understanding of NLP concepts and techniques. Experience working with large language models and other AI systems. Excellent written and verbal communication skills, with a passion for language and storytelling. Ability to More ❯
Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments … Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom More ❯
our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process … the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, NaturalLanguageprocessing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior Manager, Applied Science to tackle ambiguous problems in the … solutions that will have an impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, LLM, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning, large languageMore ❯
Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, naturallanguageprocessing, computer vision, automated reasoning, robotics, or quantum technologies. As part of the Rufus Features Science team in London, the postdoc will work on shaping the … AI-driven shopping experiences at Amazon. In particular, the project focuses on conversational search in shopping, developing next-generation conversational search systems in the shopping domain that seamlessly bridge natural shopping dialogues with precise product retrieval and recommendation. Key challenges include developing new methods for grounding conversational context in product attribute space, designing efficient retrieval mechanisms that can handle … journals Mentor junior researchers and contribute to the team's scientific direction BASIC QUALIFICATIONS PhD in Computer Science, Machine Learning, Information Retrieval or related field Strong publication record in NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in conversational systems or dialogue management Experience with modern deep learning frameworks (PyTorch More ❯
Stack Developer with strong Python, React, and TypeScript skills to join our innovative team. This project will involve building a dynamic learning platform driven by AI, combining speech recognition, naturallanguageprocessing, and text-to-speech technologies to transform language learning for the future. If you're passionate about AI, web development, and education technology, and … to hear from you! What You'll Be Doing: Collaborating with the Technology Lead, product managers, experience designers, and subject matter experts to develop and optimize an AI-driven language learning platform. Building and maintaining scalable, high-quality software applications with a focus on user-centric design and performance. Contributing to the technical architecture of the platform, including making … based projects with a focus on scalable infrastructure. AI/ML Knowledge: Experience working with AI/ML-based applications is a plus, especially in language models or NLP-driven platforms. Agile Methodology: A solid understanding of lean and agile practices, with the ability to work quickly while maintaining code quality. Communication: Excellent collaboration and communication skills - you'll More ❯
Lead Applied Scientist, IR/NLP Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London s seeking scientists with a passion for solving problems using state-of-the-art information retrieval, naturallanguageprocessing and generative AI. What does Thomson Reuters Labs do? We experiment, we … We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw , Practical Law , and Checkpoint . About the Role Lead 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 … Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 7+ years 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 Professional experience scaling yourself and leading through More ❯
Lead Applied Scientist, IR/NLP Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London s seeking scientists with a passion for solving problems using state-of-the-art information retrieval, naturallanguageprocessing and generative AI. What does Thomson Reuters Labs do? We experiment, we … We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw , Practical Law , and Checkpoint . About the Role Lead 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 … Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 7+ years 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 Professional experience scaling yourself and leading through More ❯
Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, naturallanguageprocessing, computer vision, automated reasoning, robotics, or quantum technologies. As part of the Rufus Features Science team in London, the postdoc will work on shaping the … AI-driven shopping experiences at Amazon. In particular, the project focuses on conversational search in shopping, developing next-generation conversational search systems in the shopping domain that seamlessly bridge natural shopping dialogues with precise product retrieval and recommendation. Key challenges include developing new methods for grounding conversational context in product attribute space, designing efficient retrieval mechanisms that can handle … journals Mentor junior researchers and contribute to the team's scientific direction BASIC QUALIFICATIONS PhD in Computer Science, Machine Learning, Information Retrieval or related field Strong publication record in NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in conversational systems or dialogue management Experience with modern deep learning frameworks (PyTorch More ❯
on massive datasets to enhance their ability to produce realistic content. Optimizing AI algorithms for efficiency, accuracy, and ethical AI development. Working with NaturalLanguageProcessing (NLP), Computer Vision, and Reinforcement Learning to advance AI capabilities. Collaborating with cross-functional teams, including data scientists, software engineers, and product teams, to integrate AI models into applications. #J More ❯
forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, naturallanguageprocessing 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 … Products , including CoCounsel Core , CoCounsel Drafting , Practical Law , HighQ , Legal Tracker , Document Intelligence , Contract Express , Due Diligence , and others . About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯
significant quantitative and programming components. Proficiency with Python programming is essential, along with expertise in applying machine learning (ML), deep learning (DL), or naturallanguageprocessing (NLP) techniques. We would love to hear from you if you think that you're a good fit for this role. To apply you should upload your CV using the link More ❯
Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply naturallanguageprocessing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access More ❯
Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply naturallanguageprocessing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access More ❯
Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply naturallanguageprocessing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access More ❯
preference, text-to-speech). Key Requirements Previous experience as a data scientist in an advertising/marketing agency Experience with big data platforms (AWS, Aurora, ElasticSearch) Experience with NaturalLanguageProcessing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras More ❯
preference, text-to-speech). Key Requirements Previous experience as a data scientist in an advertising/marketing agency Experience with big data platforms (AWS, Aurora, ElasticSearch) Experience with NaturalLanguageProcessing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras More ❯
intelligent QA, multi-agent collaboration, and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies (RDF … SPARQL, OWL, SKOS)/NaturalLanguageProcessing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR. Excellent software design More ❯
and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, naturallanguageprocessing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and … experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models … for business application Experience with naturallanguageprocessing and/or processing of multi-modal data (e.g. images) Preferred Qualifications Experience using Unix/Linux Experience in professional software development Experience with training and evaluating LLMs Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯
