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
A leading tech company is seeking a talented AI Product Developer in Dublin, Ireland. This role involves enhancing digital products using AI, exploring new technologies, and managing data for effective model training. Ideal candidates will demonstrate strong reasoning abilities, ambition, and reliability in a collaborative environment. Competitive salary and flexible working options are offered, including opportunities for significant growth. #J-18808-Ljbffr
A global quantitative trading firm is seeking recent or upcoming PhD and research master’s graduates for their quantitative research graduate programme. The program offers extensive education in quantitative trading, collaboration with experienced professionals, and a thriving non-hierarchical culture. Graduates will analyze data, develop models, and refine trading strategies while enjoying a competitive compensation package and various perks, including free meals and a gym at the Dublin office. #J-18808-Ljbffr
A leading technology company in Dublin is seeking a Senior Machine Learning Engineer to design, implement, and deploy machine learning models. You will work closely with data scientists and software engineers, ensuring models meet governance requirements while promoting business impact. The ideal candidate has over 5 years of experience, is proficient in Python, and has knowledge of frameworks like PyTorch and TensorFlow. This role is pivotal in advancing innovative technologies in a collaborative environment. #J-18808-Ljbffr
A global payment solutions company in Ireland is looking for a Machine Learning Leader to oversee the direction and execution of innovative ML projects. This role involves working with cross-functional teams to enhance services through scalable ML pipelines and driving business insights. The ideal candidate has over 8 years of experience and strong leadership skills in the field of machine learning. #J-18808-Ljbffr
Overview Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. At Susquehanna, quantitative researchers drive innovation from the centre of our trading floor. Leveraging expertise in probability, statistics, numerical analysis, stochastic optimisation, and machine learning, they play a pivotal role in developing and refining our trading strategies. We are looking for recent or upcoming PhD and research master’s graduates to join our quantitative research graduate programme. Run by a team of senior traders and quantitative researchers, our education programme is widely recognised as the best in the industry. Don’t worry if you don’t come from a finance background – we will teach you everything you need to succeed. What we’re looking for Research-minded: You enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data. Analytical & detail-oriented: You approach problems with a curious and analytical mindset – building models, interpreting data, and uncovering insights with precision. Clear communicator: You enjoy building relationships with those you work closely with and are comfortable sharing ideas, expressing your thoughts, and listening to the views of others. Soon-to-be research master’s/PhD graduate or post‑doc: You have completed research in a quantitative discipline and are available to join the graduate programme in June 2026. What’s in it for you Education : Our industry‑leading programme is designed to facilitate researchers’ transition to quantitative trading. You will attend classes covering a vast range of topics (Options Pricing, Machine Learning, Data Analysis Techniques, Game Theory, etc.) from experienced employees in Susquehanna. Collaboration : You will work with a wide range of people in the classroom and through project work; people who share a passion for mathematics, problem‑solving, game theory, and technology. Culture : Our non‑hierarchical, casual, and collaborative culture allows employees of every level to thrive. Perks : We offer a highly competitive compensation package to our graduates. Located in Ireland’s Financial Services Centre, in the heart of Dublin’s city centre, our office features free onsite catering, a games room, and a fully equipped in‑house gym. Company Susquehanna International Group, LLP (SIG) Susquehanna is an equal opportunity employer, and we are committed to diversity and inclusion throughout our recruitment process. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruitment process, please contact us. #J-18808-Ljbffr
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
