1 to 25 of 27 Permanent Information Retrieval Jobs

GBR-London-5 Canada Squaretime type: Full timeposted on: Posted Todayjob requisition id: JREQ194360 London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. 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 evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As a Lead Applied Scientist, you will: Lead an applied research team throughout the full product … with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. More ❯

role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release: What You'll Do Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based … audio processing, music information retrieval, machine learning, and signal processing. Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users. Create practical applications that harness generative technologies, pushing the boundaries of what's possible in listening experiences. Collaborate as part of a cross-functional team-working … Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML … Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design and build ML applications tailored to complex financial and legal workflows, leveraging … in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This More ❯

everyday people save money, time and agony in their financial lives. Team Description Apollo (part of Card DMDC) is Capital One's one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. … your work into tangible business goals The Ideal Candidate is: Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the … qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this More ❯

everyday people save money, time and agony in their financial lives. Team Description Apollo (part of Card DMDC) is Capital One's one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. … your work into tangible business goals The Ideal Candidate is: Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the … qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this More ❯

Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs Track record of driving innovation, publishing and communicating your work in industry At least 3 years' experience in PyTorch/… qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this … s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information More ❯

with customers needs to generate solutions. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from … all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as … creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See More ❯

NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval techniques, and prompting workflows, to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As an More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including More ❯

testing, maintaining, and launching software products. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from … all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as … creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See More ❯

About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed … creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See More ❯

evolving APIs. Knowledge of Jetpack Compose. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from … all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as … powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the More ❯

technical field or equivalent experience. About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data … creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See More ❯