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
A progressive technology company in Fingal, Dublin is seeking a Senior Machine Learning Engineer to develop and implement algorithms in production. The ideal candidate has over 5 years of experience in machine learning and should be proficient in Python. This role offers competitive equity options and generous benefits, including a significant amount of paid leave and support for personal development. #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 the Role NORY, Inc. is advancing the hospitality industry by doubling profitability, lowering carbon footprints, and enhancing work environments. Driven by CEO Conor, who previously scaled Mad Egg, Nory addresses challenges seen in traditional management systems. With a strong product and growing demand, the company is expanding its team, particularly in data science and machine learning, to meet ambitious 2025 goals following a successful Series A funding round. Responsibilities Develop and implement new machine learning algorithms in production. Oversee and improve existing algorithms. Collaborate with product and engineering teams for feature development. Engage with the data and technology community at Nory. Benefits Equity at Series A valuation. 35 days of paid leave annually, inclusive of bank holidays. Comprehensive private health insurance. Enhanced parental leave and baby loss support. €1000 annual budget for personal development and a quarterly book budget. €250 budget for home office setup. Regular team events and social activities. Requirements Problem-solving using scientific methods and hypothesis testing. Proficiency in Python for writing clean, maintainable code. Experience in deploying algorithms in operational environments. Strong understanding of machine learning theories. Experience with cloud infrastructure. Preferred Developed understanding of methods to run ML projects. Inclusion Statement Nory emphasizes inclusivity and diversity, welcoming applicants from all backgrounds and identities. The organization values individuality and upholds a non-discriminatory workplace environment. Company NORY, Inc. Qualifications Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP #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
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
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
At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! At SolarWinds, we’re reimagining how enterprises monitor, manage, and secure complex IT environments. We’re seeking a Senior Software Engineer – Machine Learning to join our Platform Machine Learning team. In this role, you will design, build, and deploy ML systems that deliver intelligent insights for our observability platform. What You’ll Do Contribute to the full ML lifecycle—from preprocessing telemetry data and experimenting with algorithms to training, optimization, and deploying models into production. Work closely with cross-functional engineering teams and product managers to translate requirements into ML-driven solutions. Develop and fine-tune ML models using TensorFlow, PyTorch, and scikit-learn. Apply Large Language Models (LLMs) with frameworks like LangChain or Hugging Face to build practical AI-driven systems. Implement MLOps practices, ensuring smooth model training, deployment, and monitoring in production. Maintain and scale data pipelines, integrate vector databases, and support Retrieval-Augmented Generation (RAG) use cases. Run A/B testing and experiments to validate models and optimize performance. Stay updated on new ML techniques relevant to IT operations and observability. What We’re Looking For Strong programming expertise in Python with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn). Hands‑on experience building and deploying ML models in production environments. Exposure to LLM-based applications and familiarity with frameworks such as LangChain or Hugging Face. Experience with data processing, model lifecycle management, and MLOps practices. Strong analytical skills, problem‑solving mindset, and eagerness to grow in ML system design. Familiarity with observability, IT operations, or infrastructure monitoring is a plus. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice Company SolarWinds 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
At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands‑on approach of an operator. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate. Responsibilities Power digital products with AI. Work with product teams to identify high‑impact opportunities where AI can transform the user experience for millions—and then build the solutions to make them happen. Drive the process from possibility to production, delivering code that’s robust, reproducible, and built for scale. Explore ways to push the boundaries of our AI capabilities. Stay at the bleeding edge of AI by investigating new models, techniques, and research. Learn fast across new domains, share findings with the team, and turn breakthrough ideas into production systems that deliver real‑world impact. Refine data foundations for exceptional results. Own the full data lifecycle—from acquisition and labeling to loading and management—to ensure our models are trained on clean, high‑quality datasets that power top‑performing systems. Own your impact, end‑to‑end. Set smart priorities, manage execution, and consistently deliver high‑quality results, even in ambiguous or fast‑changing environments. Balance technical depth with strong ownership, growing your skills while delivering meaningful contributions. Qualifications Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter. Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar. Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You’re always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent. Proficiency in English. You read, write, and speak proficiently in English. What we offer Incredibly talented, entrepreneurial teams. You’ll work in small, result‑oriented, autonomous teams alongside some of the brightest people in your field. An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too. Competitive pay and access to equity in the company. Typically, we offer individuals at the start of their career a salary of £83,997 in London and €63,965 in Milan. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £110,389 and £194,964 in London, and €105,737 and €143,330 in Milan. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut. All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top‑of‑the‑market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work. Commitment & contract Permanent or fixed‑term. Full‑time or part‑time. Location Milan (Italy), London (UK) or remote. The selection process If you pass our screening, we’ll ask you to take on a few tests designed to assess how you approach unfamiliar problems. They’re challenging and may take several hours to complete. If you’re successful with those, we’ll invite you to a series of interviews. We set the bar high and won’t extend an offer until we’re convinced we’ve found the right candidate. This is why a job may stay open for months or be reposted several times. Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply. Before you apply If you’ve applied before but didn’t receive an offer, we recommend waiting at least one year before applying again. Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and provide reasonable accommodations for an individual with disabilities—just let us know through this form. Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment. To help you ramp up quickly and set yourself up for success, we recommend spending your first few months working from our Milan office, regardless of your long‑term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from our offices in Milan or London, or remotely from approved countries—depending on what we agree at the offer stage. If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you. Tagged as: Industry, Ireland, NLP #J-18808-Ljbffr
