A leading AI solutions provider in Ireland is seeking an AI & Machine Learning Engineer to design, deploy, and scale machine learning solutions. The role requires collaboration with data scientists and software engineers to optimize models in production. Candidates should possess a Bachelor's or Master's degree and have over 2 years of experience in AI/ML engineering, strong Python skills, and familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn. The position offers competitive salary and hybrid or remote work options. #J-18808-Ljbffr
AI & Machine Learning Engineer (Ireland) Location: Dublin / Cork / Galway / Hybrid / Remote (Ireland) Employment Type: Full-time | Permanent Role Overview We are looking for a skilled AI & Machine Learning Engineer to design, build, deploy, and scale machine learning solutions in production. You will work closely with data scientists, software engineers, and product teams to turn AI models into reliable, real-world applications. Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain end-to-end ML pipelines Optimise model performance, scalability, and reliability Collaborate with data scientists on feature engineering and model selection Integrate ML models into production systems and APIs Monitor models in production and continuously improve them Apply best practices in MLOps and model lifecycle management Requirements Bachelor’s or Master’s degree in AI, Machine Learning, Computer Science, or related field 2+ years of experience in AI or machine learning engineering Strong programming skills in Python Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistics Experience working with large datasets and data pipelines Professional working proficiency in English Nice to Have Experience with cloud platforms (AWS, Azure, GCP) Knowledge of Docker, Kubernetes, and MLOps tools Experience in NLP, computer vision, or recommendation systems Experience in SaaS or AI-driven product environments What We Offer Competitive salary aligned with the Irish AI & ML market Permanent contract with benefits Hybrid or remote working options Innovative, collaborative, and AI-focused environment Training, learning budget, and clear career progression How to Apply Please send your CV to [email] with the subject line: AI & Machine Learning Engineer – Ireland Company: HT Labs Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP, Recommendation System #J-18808-Ljbffr
A global IT consultancy in Letterkenny is seeking a Machine Learning Engineer to lead machine learning projects and collaborate with cross-functional teams. The ideal candidate has extensive experience in software engineering and machine learning, advanced skills in Python, Java, and Scala, and excellent collaboration abilities. The role includes designing optimized data pipelines and improving ML platform performance. Join us to make a significant impact on customers' financial lives while enjoying a hybrid work model and competitive benefits. #J-18808-Ljbffr
If you need support in completing the application or if you require a different format of this document, please get in touch with at with the subject line: “Application Support Request”. Job Type: Permanent Location: Hybrid – 3 days onsite in Letterkenny GDC, Co. Donegal per week Working Model: Covering hours between 10.30am and 7.30pm. Ready to utilise your AI/ML expertise to improve financial lives of customers worldwide? Are you looking for an exciting opportunity to grow your career with a dynamic global IT Consultancy? Make a meaningful impact as a Machine Learning Engineer! Join a global tech leader right here in Donegal. TCS is a purpose‑led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve. With over 850 employees and a state‑of‑the‑art global delivery centre, we’re proud to offer world‑class career opportunities without having to leave the Northwest. Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect. Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world. Be part of something global, grounded in Donegal. Career Benefits Cares at TCS: It means more TCS is a purpose‑led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve – our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Grow your career, while being exposed to new technologies. Be part of an exciting team where you will be challenged every day. Lead projects and inspire both colleagues and stakeholders. The Role As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting‑edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross‑functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real‑world problems, drive business growth, and create value. Key responsibilities Lead and drive machine learning projects from inception to production: build relationships with business partners and cross‑functional teams. Collaborate with business leaders, subject matter experts, and decision‑makers to develop success criteria and optimise new products, features, policies, and models. Partner with data scientists to understand, implement, train, and design machine learning models. Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform. Construct optimised data pipelines to feed machine learning models. Extend existing machine learning libraries and frameworks. Develop processes, model monitoring, and governance framework for successful ML model operationalisation. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results. Define standards for engineering and operational excellence for running best‑in‑class ML platforms and continue to improve ML platforms to keep up with the latest innovations. Design and implement architectural best practices in the delivery of data science use cases. Your Profile Key skills/knowledge/experience Extensive software engineering experience with a strong working experience as a Machine Learning Engineer. Bachelor’s degree in computer science, computer engineering, or a related engineering field. Master’s degree preferred. Advanced proficiency with Python, Java, and Scala. Strong computer science fundamentals such as algorithms, data structures, multithreading. Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG. Experience using ML and DL Libraries: XGBoost, SKlearn, Tensorflow or PyTorch. In‑depth experience building solutions using public clouds such as AWS, GCP. Experience using ML platforms like SageMaker, H2O, DataRobot, etc. Strong knowledge on ML model development life‑cycle components like containers, batch vs real‑time inference endpoints, application security testing etc. Experience managing relationships in a cross‑functional environment with multiple stakeholders. Experience with developing and deploying production‑grade applications with ML inferences using automation pipeline on cloud. Experience working in Agile/ Scrum development process. Thought leadership and innovative thinking. Excellent communication and collaboration skills. Desirable skills/knowledge/experience Search platform experience (Solr, Elasticsearch, etc.). Experience in building end‑to‑end recommender systems. Exposure to graph databases and platforms, e.g. Neo4j. Exposure to CI/CD tools like Jenkins. Financial Services, particularly Insurance and 401K domain knowledge. AWS Solutions Architect certification. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop and access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998‑2011 (as amended) and the Equal Status Acts 2000‑2012 (as amended). We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long‑term conditions who meet the minimum criteria for the role. Beware of Fraudulent offers. This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third‑party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now. Company Tata Consultancy Services Qualifications Senior (5+ years of experience) Tagged as: Industry, Ireland, Machine Learning, NLP, Recommendation System #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
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
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
