A leading technology organization in Ireland seeks an Applied Scientist II to join their Central Machine Learning team. This role involves using machine learning and statistical techniques to create innovative solutions. You will analyze large datasets, build scalable models, and work closely with various teams to optimize business operations. Candidates should possess a PhD or Master’s degree with at least 3 years of experience in machine learning applications. This position offers a unique opportunity to impact millions of consumers globally. #J-18808-Ljbffr
Applied Scientist II, Central Machine Learning Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems / metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company’s bottom-line, we want to talk to you. Major responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy innovative and highly scalable models for predictive learning Research and implement novel machine learning and statistical approaches Work closely with software engineering teams to drive real-time model implementations and new feature creations Work closely with business owners and operations staff to optimize various business operations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users. Basic Qualifications 3+ years of building models for business application experience PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 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 Preferred Qualifications Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience with one of the following areas : machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J- • Ljbffr #J-18808-Ljbffr
Overview Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external Research & Development data with the power of data science, predictive models, generative AI, and machine learning, we aim to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The Artificial Intelligence & Computational Sciences (AICS) team leads Biomedical Research in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency while focusing on patients’ needs. AICS partners with drug discovery teams, raises the level of AI expertise across BR, and ensures that BR science keeps up with the rapidly evolving AI ecosystem by connecting with AI leaders in academia and industry. Responsibilities Work with a team of AI researchers and SMEs with core domain expertise in applying AI to drug discovery. Collaborate with AI modelers to ensure models are robust and performant. Partner with Engineering and Product Development resources to deliver AI solutions. Raise awareness of AI applications to aid in answering key research questions across BR. Help position AI‑aided drug discovery contributions to support progress of BR’s portfolio, enable new therapeutic discoveries, shorten cycle times, and increase efficiency. Act as liaison of AICS for identification of research questions, solution design, and evangelism of results and impacts of AI across BR. Regularly communicate, engage, and align with AICS teams, the broader data science community, and senior scientists. Initiate and lead key high‑value internal collaborations across BR. Help design translatable metrics for AI models that will lead to tangible impact in collaboration with BR DAs and FAs. Essential Requirements 4+ years of significant experience in innovation, development, deployment, and continuous support of Machine Learning data management and modeling, including experience in an enterprise environment. Specialization in at least one of the core drug discovery functional areas such as target identification, computational chemistry, protein structure modelling and design, or translational medicine. Expertise in bringing advanced analytics insights and actions to a large research organization and deep understanding of drug development. Entrepreneurial spirit with a can‑do, pro‑active attitude that complements a passion for emerging technologies and a pragmatic insight into where those technologies can be integrated into business solutions. Ability to balance requirements, manage expectations, and drive effective results using a proactive attitude toward identifying and resolving issues. Strong organizational, problem‑solving, and influencing skills with a demonstrated track record of exceptional teamwork. Functional leadership capability with excellent interpersonal, communication, and presentation skills. Commitment to Diversity & Inclusion We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Benefits & Rewards Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Location & Accessibility For Basel, Switzerland: Switzerland. Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process or in order to receive more detailed information about the essential functions of a position, please send an e‑mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Company C028 (FCRS = CH028) Novartis Pharma AG Job Level Senior (5+ years of experience) Tags Industry, Ireland, Machine Learning, NLP #J-18808-Ljbffr
A leading pharmaceutical company is seeking a Senior Machine Learning Scientist to join their AI and Computational Sciences team. The role involves applying AI to drug discovery, collaborating with researchers, and managing AI models. Candidates should have over 4 years of experience in machine learning and a strong understanding of drug development processes. This position offers opportunities to shape innovative solutions in a dynamic environment. #J-18808-Ljbffr
A leading semiconductor company in County Limerick is seeking an experienced Robotics Engineer to design and implement custom sensor models and lead efforts in robotics simulations. Candidates should have a Ph.D. or M.S. and 7+ years of relevant experience, particularly in sensor modelling and simulation platforms. The role offers collaboration in a fast-paced environment focusing on real-time intelligent edge systems. #J-18808-Ljbffr
About Analog Devices, Inc. Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today’s innovators stay Ahead of What’s Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Responsibilities Design and implement custom sensor models (e.g., ToF, RGB‑D, LiDAR, IMUs) in simulation platforms such as NVIDIA Isaac Sim, leveraging USD for integration. Apply traditional numerical simulation techniques (e.g., FEA) to model mechanical behaviour of robotic components; use tools such as Ansys, Comsol, or Abaqus to simulate stress, deformation, and dynamic response. Lead efforts to close the sim‑to‑real gap in robotics use‑cases through domain randomization, noise modelling, and physics‑based constraints; validate simulation outputs against real‑world data. Develop simulation‑driven workflows to produce high‑quality synthetic datasets for training AI models, including perception, control, and physics‑informed neural networks. Collaborate with AI/ML engineers to integrate simulation outputs into model training pipelines, especially for physics‑informed machine learning (PIML) applications. Oversee on‑site testing and validation of robotic platforms and sensor arrays, ensuring simulation fidelity and real‑world performance alignment. Stay current with advancements in robotics simulation, sensor technologies, and AI; mentor junior engineers and guide the adoption of innovative simulation and validation techniques. Qualifications Ph.D. or M.S. in Robotics, Mechanical Engineering, Computer Science, Physics, or a related field. 7+ years of experience in robotics simulation, sensor modelling, or mechanical validation. Deep expertise in simulation platforms (e.g., Isaac Sim, Gazebo) and sensor modelling. Strong proficiency in Python, C++, and software development best practices. Hands‑on experience with FEA tools such as Ansys, Comsol, or Abaqus. Experience with advanced ML frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries. Proven track record of integrating simulation with real‑world robotic systems. Experience with synthetic data generation and validation against physical benchmarks. Solid understanding of sim‑to‑real challenges and mitigation strategies. Bonus: Experience implementing custom finite element solvers or contributing to open‑source simulation frameworks. Familiarity with sensor hardware design, calibration, and signal processing. Publications or project experience in physics‑informed machine learning or mechanical simulation. Experience with reinforcement learning (RL) and safe deployment of RL agents on physical robots. Proven ability to deliver simulation‑driven workflows for AI model training, system validation, or perception testing. Why Join Us? Join ADI’s Edge AI team to help create truly intelligent edge systems—where sensing, learning, and acting happen in real time. You’ll work in a fast‑paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real‑world performance. Job Requirements Job Req Type: Experienced. Required Travel: Yes, 10% of the time. Shift Type: 1st Shift/Days. Export Licensing For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce – Bureau of Industry and Security and/or the U.S. Department of State – Directorate of Defense Trade Controls. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. EEO Statement Analog Devices is an equal‑opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. #J-18808-Ljbffr
A Machine Learning firm in Dublin is seeking a Machine Learning Engineer to build and integrate machine learning models. The role involves developing models, designing APIs, and deploying applications on the cloud. Candidates should have Python proficiency, experience with ML frameworks, and good English skills. This is a full-time position with a salary up to €35k, remote work flexibility, and additional benefits including a laptop and yearly offsite. #J-18808-Ljbffr
About Us We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy. Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences. At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time. We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control. About the Role We’re looking for a Machine Learning Engineer (0–1 years of experience) to help us build and integrate Machine Learning models into our clients’ cloud environments and production systems. You will cover the entire ML pipeline, from data preparation to model training and deployment to the cloud. Responsibilities Build ML models for segmentation and classification with financial data. Design, build, and maintain CRUD APIs to interact with users and serve the models. Deploy, monitor, and maintain applications in AWS. Tech Stack We use a mix of modern tools and languages: Languages: Python, Typescript, SQL ML Frameworks: PyTorch, XGBoost API Frameworks: FastAPI, Express.js Databases: Snowflake, Postgres Cloud: AWS Hybrid Work & Schedule This is a remote position, and you are free to work from anywhere in Italy. However, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan). Working hours: Monday–Thursday: 8:30 – 17:45 CET Friday: 8:30 – 16:30 CET Lunch: 13:00 – 14:00 (flexible) We don’t do on-call rotations, your evenings and weekends are your own. Commitment and Contract Full‑time contract (tempo indeterminato) Up to 35 k € RAL, depending on experience Yearly bonus based on KPIs fulfilment Recruiting Process HR Screening (15 min): Company and role presentation, alignment on expectations. Technical Interview (60 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode‑style questions. Final interview with CEO (15 min): Final Q&A round, alignment on project. Proficiency Requirements Proficiency in Python Experience with training custom ML models using PyTorch and XGBoost Familiarity with API development Good understanding of relational databases and experience with querying and managing data Knowledge of version control systems (e.g., Git) B2+ English proficiency Nice to Have Experience with Typescript Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls Experience with running Machine Learning inference jobs with PyTorch or ONNX Benefits Laptop, monitor, camera, and noise‑cancelling headphones Yearly offsite Paid lunch and coffee breaks when in office Company Gemmo #J-18808-Ljbffr
Alternate Job Titles: Staff Machine Learning Engineer Senior Machine Learning Software Engineer AI/ML Staff Engineer Staff Software Engineer – Machine Learning You Are: You are a highly skilled and experienced software engineer, passionate about the intersection of artificial intelligence, machine learning, and electronic design automation (EDA). Your expertise is complemented by a strong foundation in software development best practices, from ideation to deployment and maintenance. You are self‑motivated, detail‑oriented, driven by curiosity, always seeking to solve challenging problems. You value independence but also excel as a team player, collaborating seamlessly with colleagues from diverse backgrounds. Your exposure to software tools and workflows gives you unique insight into the needs of our customers, and you aspire to take on leadership roles, mentoring others and shaping the direction of innovative projects. Your commitment to continuous learning and your proactive approach to tackling new challenges make you an invaluable contributor to any high‑performing engineering team. What You’ll Be Doing: Designing, developing, and maintaining advanced machine learning companion products for Synopsys’s EDA solutions. Architecting and implementing robust, scalable software systems using Python and C/C++. Collaborating with cross‑functional teams to integrate AI/ML capabilities into existing and new EDA tools. Optimizing large and complex codebases to ensure high performance, reliability, and maintainability. Developing and deploying distributed systems and leveraging messaging frameworks like ZMQ. Participating in the full software development lifecycle, including code reviews, testing, and documentation. The Impact You Will Have: Empowering Synopsys’s EDA products with cutting‑edge AI/ML capabilities, driving innovation in the semiconductor industry. Enabling customers to achieve greater efficiency, accuracy, and performance in their chip design and verification workflows. Contributing to the development of scalable, maintainable, and high‑quality software solutions that are critical to Synopsys’s success. Facilitating the integration of pervasive intelligence across a broad range of applications, from automotive to consumer electronics. Shaping the future of EDA by collaborating on strategic projects and pioneering new approaches to complex technical challenges. Inspiring colleagues, fostering a culture of technical excellence and continuous improvement. What You’ll Need: 8+ years of post‑graduate experience in software development, with a focus on Python‑based product development. Expert knowledge in Python and C/C++ programming languages. Demonstrated experience working with large, complex Python codebases in a production environment. Expertise in distributed systems and messaging protocols (e.g., ZMQ). Familiarity with UNIX‑based scripting languages and the software development lifecycle. Experience or exposure to EDA tools and methodologies is beneficial. Who You Are: Self‑motivated and able to work independently with minimal supervision. Detail‑oriented and committed to delivering high‑quality solutions. Driven, proactive, and eager to take on new challenges and leadership responsibilities. Collaborative and communicative, thriving in diverse and multidisciplinary teams. Passionate about problem‑solving and continuous learning. The Team You’ll Be A Part Of: You’ll join a dynamic, forward‑thinking engineering team dedicated to creating and supporting Synopsys.ai companion products. Our team’s core focus is enabling and enhancing AI/ML capabilities in Synopsys’s EDA tools, directly contributing to the realization of pervasive intelligence in next‑generation technology. We value collaboration, creativity, and technical excellence, and we’re committed to supporting your growth and leadership ambitions as we shape the future of design automation together. We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self‑driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high‑performance silicon chips and software content. Join us to transform the future through continuous technological innovation. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non‑monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Company: Synopsys Qualifications: Senior (5+ years of experience) #J-18808-Ljbffr
Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees. As a Machine Learning Engineer within the JPMorgan Chase team, you will design, implement, and deploy machine learning models that adhere to our global technology standards and firm governance requirements. Collaborate closely with machine learning scientists, data scientists, software engineers, and product teams to integrate and scale machine learning solutions that promote significant business impact. Your responsibilities include designing and implementing machine learning models, deploying and scaling models to production environments, fine‑tuning models for optimal performance, and continuously monitoring model performance. J.P. Morgan Dublin thrives as a collaborative, tight‑knit community, passionately driven by innovation, where curiosity fuels the relentless pursuit of groundbreaking ideas. The culture is centred around exploring new frontiers together by fostering an environment that encourages growth, creativity and forward‑thinking. Responsibilities Design and implement machine learning models in collaboration with machine learning scientists, ensuring alignment with global technology standards and firm compliance and governance requirements. Deploy and scale models to production environments, ensuring robustness and reliability. Fine‑tune models for optimal performance and efficiency, addressing any issues that arise. Work closely with data scientists, software engineers, and product teams to integrate machine learning solutions into existing systems and workflows. Continuously monitor model performance, making necessary adjustments to maintain and improve accuracy and efficiency. Required Qualifications Proficiency in Python. Experience with one or more of the following: PyTorch, MLFlow, TensorFlow, or Scikit‑learn. Strong understanding of software engineering principles and practices, including version control, testing, and code optimisation. Skills in data preprocessing, feature engineering, and building data pipelines. Experience with Apache Spark, particularly PySpark. Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models. Experience Level Senior (5+ years of experience) #J-18808-Ljbffr
