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Experience Level
Entry Level
Qualifications
High School Diploma or equivalent is mandatory.0-2 years of relevant experience in a manufacturing or operational role. Strong mathematical, mechanical, and technical skills with a capacity for logical problem-solving. Able to work independently while prioritizing safety and efficiency. Driven by a commitment to enhancing productivity, safety, and quality standards.
About the job
As a Machine Operator at Avery Dennison, you will play a vital role in our production process by adhering to established specifications and guidelines. Your responsibilities will include monitoring various machinery and control systems to ensure optimal processing efficiency. You will be required to operate manual, automatic, or semiautomatic machines within a continuous production environment while upholding safety standards and protocols.
Key Responsibilities:
Adhere to production and process instructions to meet product specifications.
Continuously monitor meters, gauges, valves, flow ratios, and computer systems for effective process management.
Operate manual, automatic, or semiautomatic machinery in a seamless production flow.
Follow safety procedures and 5S standards in all work activities.
Engage in ongoing training and development sessions such as EHS, SOP, and Magma training.
About Avery Dennison
Avery Dennison is a global leader in materials science, specializing in innovative solutions for labeling and packaging. We are dedicated to sustainability, creativity, and delivering high-quality products that meet the evolving needs of our customers.
Join our dynamic stevedoring team at Dublin Port and help us deliver exceptional service to our customers, reinforcing our status as a leading player in the shipping industry.About UsDoyle Shipping Group is the largest independent shipping company in Ireland, providing comprehensive shipping, logistics, and maritime services across all major Irish ports. Wit…
As a Machine Operator at Avery Dennison, you will play a vital role in our production process by adhering to established specifications and guidelines. Your responsibilities will include monitoring various machinery and control systems to ensure optimal processing efficiency. You will be required to operate manual, automatic, or semiautomatic machines within a continuous production environment while upholding safety standards and protocols.Key Responsibilities:Adhere to production and process instructions to meet product specifications.Continuously monitor meters, gauges, valves, flow ratios, and computer systems for effective process management.Operate manual, automatic, or semiautomatic machinery in a seamless production flow.Follow safety procedures and 5S standards in all work activities.Engage in ongoing training and development sessions such as EHS, SOP, and Magma training.
Join our dedicated team at Calor Gas Limited located at Tolka Quay Road, Dublin Port, Dublin 1.This is a night shift role, with working hours from Monday to Friday, 21:30 to 05:30.We are in search of a dependable and diligent LPG Tank Loader who will play a crucial role in ensuring the smooth loading and unloading of goods, thereby facilitating the safe and efficient transportation of products.Key Responsibilities:Conduct the refuelling of all bulk road tankers according to Calor loading procedures.Manage the offloading of LPG in case of an over-fill adhering to Calor's established procedures.Report vehicle defects and any accident damages to transport management promptly.Notify depot management of any depot-related issues.Immediately report accidents or incidents to management.Participate in training for new processes, equipment, and technologies as part of ongoing professional development.Perform vehicle weight checks following Calor procedures.Assist in training drivers on loading activities.Set up the pipeline between the designated storage tank and the fill bay, ensuring the safety system is activated before bulk loading.Maintain daily stock records and take periodic actual storage tank readings when requested by senior fitter.Ensure all pumps are switched off and relevant valves are closed prior to leaving the yard.Alert relevant personnel about any alarms or unusual occurrences following site emergency plans and SOPs.Activate the appropriate Internal/External Emergency Plan in case of an emergency and act as required.Investigate alarms and take necessary actions.
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
Join our dynamic team as a Warehouse Operative at the JYSK Online Warehouse in Dublin, where you will play a vital role in ensuring our online orders are fulfilled efficiently and accurately. This position requires evening shifts, allowing you to work in a fast-paced environment while contributing to our commitment to excellent customer service.
About the Role Accor Hotels in Dublin is looking for a Night Cleaner to help keep our spaces clean and comfortable for guests. This role supports the housekeeping team and plays a direct part in creating a positive experience for everyone who stays with us. Main Responsibilities Clean public areas, corridors, and other hotel facilities during night shifts Maintain high standards of cleanliness and hygiene throughout the hotel Work with the housekeeping team to ensure all assigned tasks are completed Location This position is based at Accor Hotels, Dublin.
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.
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.
Control Risks has been a leader in outsourced embedded consulting management for over four decades. Our expertise empowers clients to operate effectively while we provide a diverse range of services tailored to their needs. Our embedded consultant program enables our professionals to seamlessly integrate into client organizations, delivering services directly from their sites. Renowned for our ethical standards, security intelligence, and practical management support, we are a trusted partner across various sectors, with a global network of offices to meet the evolving demands of our clientele.Due to increased demand, we are expanding our Embedded Consultant Services (ECS) program and are looking to enhance our database of embedded consultants across EMEA.We are specifically seeking experienced consultants for roles within our clients' Global Security Operations Centre (GSOC) located in Dublin, Ireland. The GSOC operates within an integrated global framework featuring standardized processes and systems.
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
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.
POS-31662Role OverviewAt HubSpot, we are pioneering the next wave of AI-driven experiences within our go-to-market solutions. We are seeking a Senior Machine Learning Engineer II to become a vital member of the Flywheel Context (Contacts) team. In this role, you will develop the context platform layer that empowers our AI assistants and agents to operate with precision and excellence.This role is primarily focused on backend machine learning engineering, emphasizing the delivery of production-ready software. You will design systems that enable other engineering teams to access essential facts, manage extensive and intricate context, and assess quality at scale. If you are passionate about creating robust platforms rather than just prototypes, we want to hear from you!
Join Klaviyo as a Customer Support Specialist, where you will play a crucial role in providing exceptional service to our German-speaking customers. Your primary responsibility will be to assist clients with their inquiries, ensuring they receive timely and effective solutions. This position requires a passion for helping others and the ability to communicate clearly in both German and English.
Full-time|$23/hr - $34/hr|On-site|Dublin, CA; San Francisco, CA
Join DoorDash Labs, a pioneering team dedicated to revolutionizing last-mile logistics through robotics and automation. We seek an Operations Specialist to actively participate in the testing, deployment, and documentation of cutting-edge technologies. This role is essential in ensuring the seamless operation of autonomous solutions as you collaborate with various teams to enhance product capabilities. If you are passionate about robotics and eager to make a tangible impact in a service utilized by millions, we’d love to hear from you!
Role Overview Control Risks is seeking an Embedded GSOC Shift Lead in Dublin. This position manages and oversees security operations, coordinating teams and resources to protect client assets. What You Will Do Lead and supervise security teams during assigned shifts Coordinate resources to maintain effective security coverage Support the safety and security of client assets What We’re Looking For Strong leadership skills Experience managing or coordinating security operations Ability to work collaboratively with diverse teams
