Learning & Development Delivery Specialist

Join Primark as a Learning & Development Delivery Specialist, where you'll play a vital role in enhancing our employee training and development initiatives. You will be responsible for implementing engaging learning experiences and ensuring our team members have access to the resources they need to thrive in their roles. Your contributions will help shape the future of our workforce and support our mission to create a positive work environment.

ATC Driving Forward provides logistics and technical services for data centers throughout Europe. With over four decades of experience, the company specializes in IT transport, relocations, and handling full data center commissioning and decommissioning. As part of the Arvato Group, ATC draws on global supply chain and technology expertise. The company values training, development, and building long-term relationships. The Learning & Development Specialist, based in Dublin, plays a key role in designing and delivering training for both technical and non-technical staff. This position shapes learning experiences across the organization and ensures that training programs meet business needs and reflect industry standards. Main responsibilities Design and develop course content and training programs for a range of audiences. Manage the Moodle learning platform to support training activities. Coordinate and schedule training sessions, making sure they are delivered on time. Track and report on participation, progress, and training outcomes. Support onboarding processes and role-specific training pathways. Conduct learning needs analyses using data and input from stakeholders. Assess the effectiveness of training through evaluations and performance metrics. Contribute to the overall training strategy and address general learning needs. Monitor industry trends to enhance learning materials and methods. Align learning solutions with business objectives and performance standards. Maintain confidentiality and comply with GDPR and company policies. Requirements Experience creating course content and training programs for diverse groups. Proficiency with Moodle or similar learning management systems. Understanding of both technical and non-technical training needs. Strong organizational skills to manage training logistics and deadlines. Effective facilitation, communication, and stakeholder management skills. Ability to collaborate and work across different departments. Commitment to supporting general training needs and continuous learning. Adaptability in changing and high-energy environments. Location: Dublin, County Dublin, Ireland

Jobs for Humanity seeks a Learning Delivery Manager to join the team in Dublin (NOCC). This role centers on managing and improving educational programs that serve people from many different backgrounds. The goal is to ensure these initiatives are accessible and have a meaningful impact. Key Responsibilities Oversee the rollout and daily operation of learning programs Make sure educational offerings reach participants from diverse communities Use learning methodologies to strengthen program effectiveness Advance the organization’s commitment to inclusivity through education Location This position is based in Dublin (NOCC).

Join our team as a Learning & Development Contractor specializing in Mergers and Acquisitions (M&A) training. In this dynamic role, you will design and implement comprehensive training programs aimed at enhancing the skills and knowledge of our employees in relation to M&A processes. Your expertise will play a crucial part in ensuring our teams are well-equipped to navigate the complexities of M&A transactions.

Role Overview Tines is looking for a Learning and Development Partner in Dublin, Ireland (hybrid) to help shape employee growth and support team performance. This role works closely with different departments to build and deliver training programs that strengthen skills and encourage ongoing learning. What You Will Do Collaborate with teams across the company to design, implement, and review training initiatives Identify areas where employees need development and recommend targeted solutions Support a culture that values continuous learning and professional growth Ensure training programs help the workforce adapt to changing business needs

Learning and Development AdministratorLocation: Dublin, HybridContract: Full-Time, PermanentThe Learning and Development Administrator plays a crucial role in facilitating the administration and support of the Focus Ireland Learning and Development (L&D) programme. You will collaborate closely with the L&D team to ensure the smooth execution of various training initiatives aimed at fostering professional growth within the organization.Key Responsibilities:Assist in planning, coordinating, and delivering the Focus Ireland L&D programme, maintaining accurate records and evaluations.Coordinate and help deliver the quarterly Corporate Induction for new employees, ensuring all materials and logistics are prepared in advance.Generate detailed reports on L&D activities based on established HR performance indicators, ensuring effective communication with trainers, facilities, and learners.Support internal training groups in the timely rollout of training programmes, particularly for Under 18 services, by sharing relevant information and maintaining accurate training records.Oversee the logistics of L&D events, including trainer bookings, venue arrangements, travel, accommodation, and invoicing.Serve as a primary contact for all learning and development inquiries, providing prompt and reliable support to staff and management.Identify and implement improvements to L&D administrative processes to enhance efficiency and quality.Assist in the coordination and execution of the Focus Ireland Graduate Programme, including recruitment, induction, training, and ongoing support.Establish and nurture partnerships with third-level institutions to bolster the Graduate Programme and develop a pipeline for future talent.Contribute to the development and management of the Student Placement Programme, including internal communication strategies and support for managers in student recruitment and supervision.Operate in alignment with Focus Ireland’s objectives and values, demonstrating flexibility in response to operational needs, organizational changes, and the occasional requirement to work outside standard hours.Perform other duties as assigned, remaining vigilant regarding Health, Safety, and Welfare, and promptly escalating concerns to the line manager or Health & Safety Representative.

Why Join PlayStation?At PlayStation, we pride ourselves on being not just the best place to play, but also the best place to work. We are a globally recognized leader in entertainment, producing an array of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and critically acclaimed software titles from PlayStation Studios.We actively foster an inclusive environment that empowers our employees and values diverse perspectives. If you have a passion for innovation, technology, and gaming, we invite you to explore our open positions and become a part of our expanding global team.PlayStation is a brand under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.About the RoleAre you eager to be part of a Machine Learning team dedicated to enhancing the PlayStation experience for millions of users and game studios alike? Do you thrive on solving intricate constrained optimization challenges at scale? We are developing advanced decision systems that influence pricing, promotion planning, and large-scale commercial strategies throughout the PlayStation ecosystem. These systems provide significant recommendations directly to our studios and are backed by strong leadership support.We are seeking a skilled engineer with extensive knowledge in mathematical optimization and operational research, particularly proficient in tools such as Gurobi or OR-Tools, to design and implement production-ready optimization systems. You will collaborate within the ML teams in the DTIS organization on impactful, executive-sponsored projects, working closely with Product, Business, and Engineering teams to convert complex business constraints into scalable solutions.Your ResponsibilitiesCreate and implement large-scale optimization models utilizing industry-standard solvers, including Gurobi.Develop decision systems that:Integrate predictive signals from machine learning models (e.g., forecasts and scoring models).Function under various operational and business constraints.Automatically balance trade-offs across competing objectives.Enhance existing workflows to optimize the core usage of the Gurobi solver and minimize job runtime.Work closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.Conduct scenario analysis and uplift forecasts.

Intercom is a pioneering AI Customer Service platform dedicated to enhancing customer experiences for businesses worldwide.Our advanced AI agent, Fin, is the leading customer service AI on the market, enabling businesses to provide uninterrupted, exceptional customer service, which fundamentally transforms customer interactions. Fin seamlessly integrates with our Helpdesk to form the comprehensive Intercom Customer Service Suite, designed to offer AI-supported assistance for complex queries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 global businesses, Intercom is redefining the standard in customer service. Guided by our core values, we challenge norms, innovate with urgency, and consistently provide outstanding value to our clients.What’s the opportunity?The Machine Learning team at Intercom is at the forefront of developing new ML features, exploring suitable algorithms and technologies, and swiftly delivering the first prototypes to our customers.We pride ourselves on being a highly product-focused team. Collaborating closely with Product and Design teams, our dedicated ML product engineers enable rapid production deployment, often launching beta versions within weeks following successful offline testing.We are deeply passionate about leveraging machine learning technology, with applications ranging from traditional supervised models to innovative unsupervised clustering algorithms, and exploring novel transformer neural network applications. We rigorously evaluate the real-world impact of each model we implement.What will I be doing?Identifying opportunities where machine learning can add significant value for our clients.Determining the appropriate ML framing for product challenges.Collaborating with team members and stakeholders in Product and Design.Conducting exploratory data analysis and research.Gaining an in-depth understanding of the problem domain.Researching and selecting the most suitable algorithms and tools.Balancing pragmatism with a commitment to innovation, pushing boundaries when necessary.Conducting offline evaluations to validate algorithm effectiveness.Collaborating with engineers to transition prototypes into production.Planning, measuring, and disseminating findings to guide iterative improvements.Working closely with the entire team and external partners to create exceptional ML products.

At Gong, we leverage cutting-edge AI technology to revolutionize the way revenue teams achieve success. Our Gong Revenue AI Operating System integrates data, insights, and workflows into a cohesive platform that observes, guides, and collaborates with some of the most accomplished revenue teams globally. With the Gong Revenue Graph, AI-driven intelligence, specialized agents, and trusted applications, we empower over 5,000 companies worldwide to gain profound insights into their teams and customers, automate essential sales processes, and close more deals with enhanced efficiency. Discover more at www.gong.io.Join Gong to be part of a dynamic team dedicated to pioneering innovative products and setting ambitious goals. We are shaping the landscape of revenue intelligence and invite individuals who are passionate about building the future with us. You will collaborate with a team that dreams big, moves quickly, and values both the craft of our work and the well-being of our colleagues. At Gong, transparency and trust form the foundation of our operations, and every team member has the chance to make a significant impact. If you aspire to grow, innovate, and engage in meaningful work, Gong is the ideal place to elevate your career.As a Customer Learning Consultant, you will deliver engaging live training sessions to our expanding customer base, showcasing your energetic and articulate presentation skills.

Role Overview:As the Head of Machine Learning Operations, you will spearhead the MLOps strategy in collaboration with the Data Science & Insights (DS&I) team and senior leadership, ensuring alignment with the organization's broader goals.Your role will involve leading the creation of state-of-the-art software tools to enhance our Data Science solutions and optimize business operations, utilizing cutting-edge technologies such as AWS, Git, Docker, Kubernetes, and Jenkins.You will continuously refine the architecture and assess emerging technologies to maintain a competitive advantage in the market.As a leader, you will be responsible for developing tools and services that support critical operations, including release management, source code management, CI/CD pipelines, automation, and deploying ML models into production environments.Championing ML model governance will be crucial, as you will establish an end-to-end lifecycle governance framework to monitor and optimize model performance over time.You will work closely with key stakeholders across various business functions, including Product & Technology (P&T), IT, and Developer Experience (DX) teams, to create and prioritize a strategic Data Science DevOps roadmap that fosters innovation.In addition, you will mentor team members, providing guidance on advanced MLOps practices and acting as a point of escalation for complex technical challenges.As a strategic advisor, you will offer insights and recommendations to senior leadership on Data Science MLOps initiatives, promoting a culture of continuous learning and innovation within the organization.Reports To: Director of Data Science & Insights

About the Role BWG Foods is hiring an Online Training Content Developer for a 6-month temporary contract. This hybrid position is based at the Head Office in Tallaght, Dublin, and requires regular in-office work. The role focuses on creating and maintaining digital training materials for retail clients, working closely with IT and Learning & Development teams. Main Responsibilities Design and update online training content, such as step-by-step guides and instructional videos. Translate technical processes into clear, learner-friendly materials. Work with Subject Matter Experts to keep training resources accurate and relevant. Gather and review feedback from users, trainers, and stakeholders to improve digital learning content. Coordinate with the Learning & Development team to maintain digital learning standards and best practices. Assist with additional learning projects or retail initiatives as needed during the contract. Location and Work Arrangement This is a hybrid role based in Tallaght, Dublin, Leinster, Ireland. Regular attendance at the Head Office is expected.

Join Pinterest as a Machine Learning Engineer II, where you'll work on cutting-edge AI technologies to enhance user experiences. Collaborate with a dynamic team to design, implement, and optimize machine learning algorithms that drive innovation.

At Intercom, we are revolutionizing AI Customer Service with the mission to empower businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands at the forefront of customer service technology, enabling organizations to provide consistent and outstanding support. Fin seamlessly integrates with our Helpdesk, forming the Intercom Customer Service Suite, a comprehensive solution designed to tackle complex inquiries that require a human touch.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses worldwide, setting new benchmarks for customer service. Our commitment to our core values drives us to innovate rapidly and deliver remarkable value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is pivotal in defining innovative ML features, exploring optimal algorithms, and swiftly deploying prototypes to enhance customer interactions.We prioritize product focus and collaborate closely with Product and Design teams. Our specialized ML product engineers facilitate rapid production deployment, often launching beta versions just weeks after successful offline testing.Our enthusiasm for machine learning is evident in our diverse applications—from traditional supervised models to cutting-edge unsupervised clustering techniques and novel transformer neural networks. We rigorously assess the customer impact of every model we implement.What Will I Be Doing?Actively participate in the recruitment, mentorship, and career development of fellow engineers.Elevate technical standards, performance, reliability, and operational excellence.Identify opportunities where machine learning can add value for our customers.Collaborate with teammates and stakeholders in Product and Design to frame product challenges appropriately.Conduct thorough exploratory data analysis to gain insights into problem areas.Research and select the most effective algorithms and tools while balancing pragmatism and innovation.Perform offline evaluations to validate algorithm effectiveness.Collaborate with engineers to transition prototypes into production.Plan, measure, and communicate findings to inform iterative improvements.

Join Sony Interactive Entertainment Global as an Engineering Manager specializing in Machine Learning. In this pivotal role, you will lead a talented team of engineers in the development and implementation of advanced machine learning algorithms that enhance our gaming experiences. You will collaborate with cross-functional teams to drive innovation and ensure the highest quality in our products.

At Intercom, we are revolutionizing AI-driven customer service with a commitment to delivering exceptional customer experiences. Our flagship AI agent, Fin, is the leading customer service AI solution available, enabling businesses to offer seamless, always-on support that enhances customer satisfaction. When paired with our Helpdesk, Fin evolves into the comprehensive Intercom Customer Service Suite, designed to tackle complex inquiries that necessitate human intervention.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide, setting the benchmark for excellence in customer service. Our core values drive us to innovate relentlessly, act swiftly, and consistently provide remarkable value to our customers.What’s the Opportunity?The AI Group at Intercom is at the forefront of creating new machine learning products, exploring innovative algorithms and technologies, and swiftly transitioning prototypes into the hands of our customers. With a strong focus on product development, our talented team of over 50 ML scientists, engineers, designers, and researchers collaborates across departments to deliver impactful solutions. We pride ourselves on rapid deployment, often moving to beta within weeks of successful offline tests.We are passionate about harnessing machine learning technologies, having successfully implemented a range of solutions from traditional supervised models to cutting-edge unsupervised clustering algorithms, novel transformer neural network applications, and finely-tuned LLMs. We diligently measure the real-world customer impact of our deployments.As we plan to double our team size, we are seeking an experienced manager to lead a high-performing group of ML scientists. Unlike conventional people managers, our engineering managers possess a solid track record of individual contributions, allowing them to remain engaged with their team’s work. While coding daily isn't a requirement, you should feel adept at offering technical guidance and possess a comprehensive understanding of your team's projects, including the potential for occasional code reviews or pull requests.What Will You Be Doing?Leading, mentoring, and coaching a team of 10+ ML scientists located in our offices in Dublin, London, and Berlin.Collaborating with leaders in ML, engineering, product, and design to influence the direction and impact of the team's work.Facilitating high levels of productivity, performance, and reliability within your team.Expanding the team's capabilities and enhancing its reputation internally and externally.

About TelnyxTelnyx is at the forefront of revolutionizing global connectivity. We are not only envisioning the future; we are actively constructing it. Our private, global, multi-cloud IP network is designed to enhance communication, while our intuitive APIs deliver hyperlocal edge technology directly to users.Our mission is to transform outdated systems, automate manual processes, and resolve real-world challenges through innovative connectivity solutions. Our financial stability and profitability allow us to invest in groundbreaking technologies and create a culture of continuous learning and advancement for our team.We aspire to create a world where limitless innovation is fueled by borderless connectivity. By joining Telnyx, you will play a vital role in establishing the foundation for this interconnected future. We are looking for enthusiastic individuals eager to contribute to a company that is shaping the industry while advancing their own professional journey.Your ImpactAs a Senior Machine Learning Engineer specializing in Speech Synthesis, you will be instrumental in developing Telnyx's next-generation speech synthesis systems. This is a unique opportunity to lead in a greenfield project where you will define the technology stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents. You will develop everything from distributed training pipelines to inference services that provide ultra-low-latency, lifelike voices in various languages. Your contributions will bridge the gap between research and production, shaping how millions interact with real-time conversational AI. Key ResponsibilitiesLead the design and development of innovative speech synthesis technologies.Collaborate with cross-functional teams to integrate speech capabilities into existing products.Optimize models for performance and scalability.Conduct research to enhance TTS models and methodologies.

Join the AI Revolution at Contentful!At Contentful, we are at the forefront of developing real-world AI solutions that empower thousands of active customers. We’re seeking a talented Senior Machine Learning Engineer who is eager to innovate, drive, and build machine learning solutions that create significant customer impact. If you're passionate about leveraging machine learning within a robust content management system and are familiar with current Generative AI trends, we invite you to join our dynamic team.Your Role:Ensure high-quality ML workloads for enterprise clients.Design, develop, and evaluate production software within the Contentful Platform.Conduct targeted research and testing utilizing tools like Jupyter Notebook.Enhance generative AI products for improved accuracy, speed, and scalability.Integrate ML cloud solutions tailored to extensive use cases.Implement prompt engineering and fine-tuning for diverse customer applications.Create software that scales efficiently to handle high-demand workloads.Lead design reviews with peers and stakeholders to select optimal technologies.Foster a culture of machine learning education within the team to uphold high standards of quality and ownership.

Join Abi, a pioneering global virtual care platform dedicated to reshaping access to healthcare. We empower patients in 40 countries to connect effortlessly with healthcare professionals, making healthcare as accessible as conversation with a friend.Our commitment to reducing barriers to healthcare aligns with the United Nations Sustainable Development Goal 3, aimed at ensuring healthy lives and promoting well-being for all.As part of our dynamic AI Lab, we are on the lookout for talented Data Science and Machine Learning professionals to join our mission. In this role, you will play an essential part in enhancing our AI/ML solutions and infrastructure, driving continuous innovation across our products and services.Key ResponsibilitiesContribute to the development of AI-driven features for our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Utilize your expertise to mentor and support junior colleagues within the AI Lab, fostering a collaborative and effective team environment.Depending on project needs, you may:Transform data science prototypes into functional modelsDesign, train, and retrain ML systemsResearch and apply suitable ML algorithms and toolsExtend existing ML libraries and frameworksSelect relevant datasets and data representation techniquesConduct machine learning tests and experiments

Join our dynamic team at Davy as a Senior Front End Developer specializing in React. We are looking for a talented individual with a passion for delivering high-quality user interfaces and applications. You will be responsible for developing and implementing engaging web solutions while collaborating closely with designers and backend developers.Your expertise will help shape the future of our digital services, and you will play a key role in ensuring that our applications are not only functional but also user-friendly and visually appealing.

Role Overview Eversana is hiring a Medical Content Development Specialist in Dublin. This role focuses on developing and managing medical content that meets high standards for accuracy and compliance. What You Will Do Create and maintain medical materials that reflect current scientific understanding Work with teams across departments to ensure content aligns with client requirements Review materials for scientific accuracy and regulatory compliance Collaboration This position involves regular interaction with cross-functional colleagues to deliver content tailored to client needs.