The Unit for Natural Language Processing [1] of the Insight Centre for Data Analytics [2] at the National University of Ireland, Galway [3], invites applications for two PhD positions in Natural Language Processing and Linked Data. The positions are associated with the SFI funded research program on Text Mining with Linked Data. Topics of interest include: – relation extraction and taxonomy extraction – deep learning of semantic representations – semantics for multilingual text processing – emotion and sentiment analysis from text – linguistic linked data and language research data management – natural language processing for minority languages Company: National University of Ireland Qualifications: Candidates should preferably have a Masters degree in a relevant field of study with an emphasis on areas such as text mining, natural language processing, computational linguistics, machine learning etc. Educational level: Master Degree Tagged as: Academia , Ireland , Machine Learning , Master Degree , NLP , Sentiment Analysis , Text Mining #J-18808-Ljbffr
At LinkedIn, we regularly process the semi-structured content in the 340+ million member profiles and the content they create on LinkedIn, such as comments, job descriptions, group discussions, and Influencer posts. We are building an NLP (Natural Language Processing) team at LinkedIn and this is a great opportunity to get in on the ground floor. Responsibilities: – Design and develop NLP systems and tools. – Research and evaluate different solutions to NLP problems. – Produce deliverable results and see them through from development to production. – Interact and work with remote teams located in different timezones. Company: LinkedIn Qualifications: Requirements: – PhD in Computer Science or related discipline. – Expertise in several of the following domains: sentiment analysis, information extraction (POS, N/E tagging with HMMs/CRF etc), feature extraction, classification, tokenization, and processing of non-English text. – Machine Learning & Text mining exposure and familiarity with R, Weka, NTLK etc. – Solid experience in Java, C++, or another object-oriented language. – Excellent communication skills, drive and discipline to get things done. We’d prefer if you also have: – Worked with web-scale traffic and data. – Experience with Hadoop, Pig, or other MapReduce paradigms. – Experience with Lucene, SOLR or other open-source IR toolkits. – Published work in academic conferences or industry circles. – Involved in consumer-facing product development and design. Educational level: Ph. D. How to apply: Please mention NLP People as a source when applying https://www.linkedin.com/jobs2/view/44208053 Tagged as: Classification , Industry , Information Extraction , Ireland , Machine Learning , NLP , Ph. D. , Text Mining #J-18808-Ljbffr
Want to work with amazingly bright people on projects that will change the way Amazon works with our international customers? Like challenging, fast pace environments and have a passion for data, languages, and other cultures? The Localization Data Management team is looking for a Software Development Manager to help deliver new products to our customers! As a Software Development Manager you will lead a team of highly skilled developers in the development of a new reporting, billing, and localized resources system. These systems will be based on the latest AWS technologies with a focus on scalability and throughput. In partnership with the Localization Platform team your team will assist in assuring operation excellence across all of Amazon’s localization services. This is a unique opportunity at Amazon with great exposure as all of Amazon will be your customer! If you like to work hard, have fun, and make a difference, this is the team for you! Key Responsibilities • Manage a team of Software Engineers working on building world class, scalable distributed systems. • Recruit, hire, mentor and coach Software Development Engineers. • Interface with our internal customers to understand requirements, set priorities and communicate direction and progress. • Own all operational metrics and support for your team’s software. • Manage the agile development process and methodology to deliver incremental value to customers. • Help develop long-term development and business technology strategies. Company: Amazon UK Qualifications: • Candidates must possess strong verbal and written communication skills and demonstrated technical leadership. • 3-5 years’ experience in Software development with experience as a Development Manager, managing teams of software engineers, and delivering on a technology roadmap. • Strong business and technical vision. • Experience in development of distributed/scalable systems and high-volume transaction applications. • Strong technical credentials. • Bachelor’s Degree in Computer Science or related degree. • Exceptional customer support focus and skills • Experience with data mining, report analysis, and data modeling • Experience with Java and web based technologies • Experience with Machine Translation technologies • Knowledge of Localization and Internationalization • Experience working pragmatically under deadlines with operational software Language requirements: Multilingual (any language other than English) Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying https://www.linkedin.com/jobs2/view/60174612?trk=vsrp_jobs_res_name&trkInfo=VSRPsearchId%3A410356921430736144360%2CVSRPtargetId%3A60174612%2CVSRPcmpt%3Aprimary Tagged as: Industry , Ireland , Machine Translation , NLP #J-18808-Ljbffr
Does the challenge and ownership that comes from leading and driving large, cross-organizational projects and Localization initiatives for one of the largest online marketplaces excite you? Do you enjoy working in an entrepreneurial environment solving complex technical problems and delivering innovative solutions? As Senior Leader of Software Development for Amazon’s Localization Platform, you will be leading a strategically important set of services depended on by every Amazon business around the world, including Kindle, Amazon’s AppStore, AWS, Amazon’s retail web sites, and Amazon’s subsidiaries. You will be responsible for leading a large engineering and product team, designing, architecting and developing high impact tier1 website dependent services as well as widely used internally facing tools. You will own the business and contractual relationships with external vendors of translation technology and services. You will partner with business, legal and technical leadership across the company in initiating, prioritizing, owning and driving the vision, strategy, product roadmap and technical deliverables that will allow Amazon to Improve speed, volume and quality of translations to and from every language. The ideal candidate will be experienced in managing a multi-functional, multi-site software development organization, including development managers, software engineers, project & product managers, and NLP Machine Learning specialists to ship both front-end customer-facing features and large scale backend services. You will recruit and develop high-caliber leaders and individuals in multiple locales. You will have proven analytical, strategic, technical and program management success. Specific Responsibilities Include The Following Grow a team of engineers into a highly performing development team Define and drive the long term product strategy Architect and deliver a next-generation localization platform to help solve Amazon’s unique localization challenges Fully manage the development lifecycle and deliver the product roadmap within an Agile/Scrum environment. Company: Amazon Qualifications: Bachelor’s degree or higher in Computer Science or related field + years of software development experience + years of people management experience including managing managers Proficiency in at least one modern object-oriented programming language such as Java, C++ or C# Strong knowledge of CS fundamentals including data structures, algorithm design and complexity analysis Experience with large scale systems and service-oriented architecture Strong leadership, project planning and execution skills Ability to communicate clearly with technical and non-technical stakeholders at all levels Educational level: Bachelor’s Degree How to apply: Please mention NLP People as a source when applying https://uk-amazon.icims.com/jobs/285295/senior-software-development-manager%2c-localization-platform/job?mobile=false&width=1400&height=1200&bga=true&needsRedirect=false&jan1offset=60&jun1offset=120 Tagged as: Bachelor’s Degree , Industry , Ireland , Machine Learning , NLP #J-18808-Ljbffr
Overview Machine Learning Engineer - PyTorch / C++ / NPU Architecture We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide. Responsibilities Develop and enhance ML compilers using PyTorch and C++ for advanced NPU architecture Design and implement quantization techniques to improve model efficiency and accuracy Optimize ML workloads for high performance and low power consumption Collaborate with strategic customers to deliver tailored ML solutions Partner with architecture and software teams to integrate new ML technologies Research, prototype, and implement compiler and system-level optimizations Qualifications Strong background in PyTorch and C++ programming Experience in ML compiler development, quantization, and workload analysis Familiarity with TensorFlow or ONNX a plus Solid understanding of hardware-aware ML solutions and performance optimization Excellent problem-solving, collaboration, and communication skills Preferred Qualifications Experience deploying ML models on NPUs, GPUs, or TPUs Understanding of system-level architecture and low-level programming Research or publications in ML-related fields How to apply If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on Privacy and data processing By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice () Company European Tech Recruit Requirements Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP #J-18808-Ljbffr
Want to work on projects that will change the way Amazon works with our international customers? Like challenging, fast pace environments and have a passion for languages, and other cultures? Want to work on the bleeding edge of Machine Translation technology? The Localization Platform team is looking for a Machine Translation (MT) Technical Program Manager! The Localization Platform team develops and maintains the tools and systems that deliver localized content to Amazon’s customers in many languages around the globe. Our tools and services are used by all of Amazon’s businesses, including AWS, Kindle and of course, the Amazon websites. We are looking for a sharp, hands-on Machine Translation Technical Program Manager to manage model training and machine translation implementation projects on behalf of our internal customers. As a MT PM, working closely with MT Engineers, MT Scientists, and MT vendors. you will also drive continuous improvement initiatives of our MT services and process in order to constantly reduce the MT model training time. The right candidate will possess a strong technical solution architecture and project management background, and will have demonstrated experience leading technical projects with tight deadlines. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. You will develop and drive high-level strategic initiatives that will help Amazon teams unlock the full potential of machine translation. You will help develop architectures and technical solutions for complex problems, anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Company: Amazon Qualifications: 5+ years of technical project management experience in a related industry. Strong interpersonal skills Strong problem-solving and organizational skills. Strong data analysis skills Ability to operate independently in a highly ambiguous environment Ability to define and implement automated business processes from scratch Bachelor’s Degree or equivalent, ideally in Engineering, Computer Science, Computational Linguistics or related technical field Strong interest in Statistical Machine Translation (SMT) and Natural Language processing (NLP). Hands-on experience with machine translation systems External vendors relationship management Language requirements: Excellent English-language communication skills, both written and verbal. Educational level: Bachelor’s Degree Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying https://uk-amazon.icims.com/jobs/339364/sr.-technical-program-manager—localization-machine-translation/job?mode=job&iis=Job%2BBoard&iisn=LinkedIn&mobile=false&width=1364&height=1200&bga=true&needsRedirect=false&jan1offset=60&jun1offset=120 Tagged as: Bachelor’s Degree , Industry , Ireland , NLP #J-18808-Ljbffr
Overview Role Overview: As a Data Scientist within the Office of the CTO within the Dynamic Threat Defense group at McAfee, you will play a vital role in providing our customers with cutting edge protection and peace of mind. You will use your LLM (Large Language Model) and Generative AI expertise to identify new opportunities for application across the personal security space, in addition to improving McAfee’s threat protection capabilities. Leverage your data visualization and storytelling skills to present your research to audience members ranging from fellow data scientists to senior executives. This is a position located in Ireland in either Dublin or Cork. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time. Responsibilities Apply subject matter expertise in traditional ML, LLM and Generative AI in the development of machine learning driven solutions to protect the digital lives of our customers. Apply statistical and machine learning knowledge aimed at identifying opportunities to improve upon existing protection capabilities using supervised and unsupervised modeling techniques. Apply data wrangling skills toward cleaning data and building data pipelines from which to implement model monitoring dashboards and machine learning models. Apply data mining and exploration skills on raw and cleaned data in a variety of formats to uncover insights for data driven decision making. Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources. Use data visualization techniques and storytelling skills to convey research results in a meaningful manner with recommendations backed by data. Own data science projects of varying scope from concept to delivery while focusing on delivering a solution to address the original problem statement to achieve success. About You You have worked with and understand LLMs (Large Language Models) and Generative AI. You have 5-7 years of experience building high quality machine learning models. Experience in fine-tuning LLMs and classification is key requirement. You possess a Master’s or PhD in Statistics, Data Science, Computer Science or other quantitative field. You have extensive experience with Python, PySpark, R, SQL and cloud platforms such as AWS, GCP and Databricks. You are self-motivated and comfortable working remotely in collaboration with an international team. You have strong problem-solving skills that can be applied toward data wrangling, exploratory data analysis, data visualization, model development, model measurement, model deployment and model monitoring. #LI-Remote Accommodations McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email. Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. McAfee desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, McAfee provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are evaluated on a case-by-case basis. Posting Statement McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Company McAfee #J-18808-Ljbffr
Overview Machine Learning Engineer – PyTorch / C++ / NPU Architecture We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide. Responsibilities Develop and enhance ML compilers using PyTorch and C++ for advanced NPU architecture Design and implement quantization techniques to improve model efficiency and accuracy Optimize ML workloads for high performance and low power consumption Collaborate with strategic customers to deliver tailored ML solutions Partner with architecture and software teams to integrate new ML technologies Research, prototype, and implement compiler and system-level optimizations Qualifications Strong background in PyTorch and C++ programming Experience in ML compiler development, quantization, and workload analysis Familiarity with TensorFlow or ONNX a plus Solid understanding of hardware-aware ML solutions and performance optimization Excellent problem-solving, collaboration, and communication skills Preferred Qualifications Experience deploying ML models on NPUs, GPUs, or TPUs Understanding of system-level architecture and low-level programming Research or publications in ML-related fields How to apply If this sounds interesting and you’d like to learn more, click the link below to apply or email me with a copy of your CV on Privacy and data processing By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/) Company European Tech Recruit Requirements Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP #J-18808-Ljbffr
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Machine Learning Engineer Overview: We are seeking a highly skilled and experienced Senior Data Scientist to design, build, and optimize scalable machine learning systems that deliver measurable impact across the business. This role involves developing robust ML pipelines, deploying models to production, and applying advanced techniques to solve complex problems. The ideal candidate is a hands-on technical expert with deep knowledge of machine learning, software engineering, and data infrastructure. Role: Responsible for developing machine learning–driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations. In this position, you will: Lead complex technical initiatives to build and deploy ML systems that solve critical business questions and automate decision-making processes Translate business and stakeholder requirements into scalable machine learning solutions and collaborate with engineering and data teams to implement them Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews Develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) using supervised, unsupervised, and reinforcement learning techniques Apply best practices in software engineering, including version control, testing, and continuous integration, to ensure reliability and maintainability of ML systems Optimize model performance and scalability through hyperparameter tuning, feature selection, and efficient deployment strategies All about you: 3 – 5 years proven experience designing, building, and deploying machine learning systems in production environments Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining Strong problem-solving skills and ability to work independently on technically challenging projects Excellent communication skills and ability to collaborate effectively with cross-functional teams #AI Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Company: Mastercard Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Visualization , Industry , Ireland , Neural Networks , NLP , Recommendation System #J-18808-Ljbffr
Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Mid-Level Machine Learning Engineer – Pricing Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and also game studios? The work we do delivers highly impactful pricing recommendations to our studios and has strong leadership sponsorship. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences by designing, coding, training, documenting, cost-effectively deploying, and evaluating business-critical machine learning and AI systems. We are looking for someone who can architect and build delightful production-grade products for customer-facing experiences, in an agile environment, collaborating with teams across Engineering, Product and Business. You will work on a project backed by executive leadership and poised to significantly influence revenue and user engagement. You Will: • Build and maintain ML models that quantify product price-elasticity and cannibalization effect to support multi-period promotions. • Refine time-series forecasting algorithms to predict demand across multiple regions and product lines. • Develop optimization workflows (OR-Tools) that balance sales growth and business constraints. • Refine clustering algorithms to identify lookalike products for smarter pricing and promotional strategies. • Apply a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of classification, regression, clustering, time series forecasting, uplift modeling, and synthetic data generation. • Build scalable and resilient ML systems along with appropriate monitoring and continuous evaluation frameworks. • Work closely with cross-functional partners in business and product to translate requirements into effective, scalable, ML-driven solutions. • Collaborate with other engineering functions in Client, Server, and QA to drive ML integrations and deliver results. • Collaborate with ML application teams that power product personalizations and search to further enhance the core experiences of our players. You Bring: • Advanced degree (Master’s or Ph.D.) in CS/Statistics/Data Science/Operations Research/Econometrics, specializing in machine learning and optimization problems. • 1+ years of industry experience applying time-series models in production, with hands-on experience in forecasting libraries (e.g. with LightGBM, Prophet). • Proven track record with mixed-integer programming or constraint solvers for pricing or resource allocation. • Strong programming skills in Python, Java, with proficiency in ML libraries and frameworks like TensorFlow, PyTorch, Spark Mlib, and scikit-learn • Good ML systems engineering experience (such as job orchestration, training pipelines, deployment, serving, monitoring). • Expertise in measuring the performance unsupervised and supervised models. • Proven record of successfully delivering commercial machine learning products from conception to production. • Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Tecton, Snowflake, and cloud services like AWS for machine learning development and deployment. Preferred Qualifications: • Previously worked with revenue-management systems. • Experience in a variety of machine learning and AI techniques, such as forecasting models, constraint optimization, classification models on structured data, clustering, and other supervised and unsupervised learning models. • Experience working in fast-paced environments, on business-critical missions. • Good communication skills and the ability to convey complex ML concepts to a non-ML audience. • Experience in e-commerce, digital goods, or gaming industries. • Experience with recommender systems and similarity matching algorithms. • Background in experimentation design, causal inference, uplift modeling, online A/B testing frameworks, and relevant metrics. • Experience with large-scale structured data manipulation and processing. • Experience working with custom ML platforms for continuous integration, deployment, and monitoring of machine learning models. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Company: Sony Interactive Entertainment (SIE) Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Ireland , NLP , QA , Supervised Learning , Unsupervised Learning #J-18808-Ljbffr
