Machine Learning and Data Science Expert at Abi | Dublin

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 …

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

Company MissionAt Wayflyer, we strive to provide global access to top-notch products by empowering remarkable businesses to achieve their full growth potential. About WayflyerIn today's fast-paced business environment, small and medium-sized businesses (SMBs) require a financing partner that aligns with their growth aspirations. Traditional funding options can be slow and often limited. This is why we established Wayflyer.Our innovative technology allows for rapid business assessments, enabling us to generate financing offers that reflect true growth potential and deliver funds within 24 hours.Since our launch in April 2020, we've successfully allocated over $5 billion to thousands of businesses globally, supported by leading financial institutions such as J.P. Morgan. We are proud to be a trusted financing partner for various esteemed brands.At Wayflyer, our teams are genuinely cross-functional. You will collaborate with driven colleagues worldwide, all working together to seize a significant opportunity. Watch this video to hear their perspectives. Culture & Values at WayflyerOur core values at Wayflyer emphasize integrity, creativity, and bold optimism. We pride ourselves on being sound individuals, exceptional operators, and ambitious achievers who work collectively to deliver remarkable results. For more information, visit our careers page. Your Role at a Glance: Key contributions to the teamAs the Data Science Manager at Wayflyer, you will lead a talented team of 4+ Data Scientists and Machine Learning Engineers. We consider Machine Learning as an integral part of software engineering; your role involves being a hands-on technical leader, responsible for coding, reviewing pull requests, and deploying high-quality ML models that drive Wayflyer’s market strategies and funding processes.Team Leadership: Oversee, mentor, and expand a high-performing team of Data Science and ML engineers while nurturing a culture of technical excellence and code quality.

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.

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 Our Team as a Data Analyst About Stripe Stripe is a leading financial infrastructure platform that empowers businesses to thrive. From large enterprises to innovative startups, millions of companies utilize Stripe to accept payments, enhance their revenue, and unlock new business opportunities. Our mission is to elevate the GDP of the internet, and we have significant work ahead. This presents a unique chance for you to contribute to the global economy while engaging in meaningful work that shapes your career. About the Team The Data Science team at Stripe is a dynamic community where data analysts and scientists collaborate, learn, and grow together. In this role, you will engage with vital and exciting datasets, leveraging them to influence company-wide initiatives. We have diverse Data Analytics teams across Stripe and will align you with the team that best fits your background and skills. Your Role In this position, you will collaborate closely with various teams at Stripe to ensure our users, products, and business have the necessary models, data products, and insights for informed decision-making and sustainable growth. You will extract insights from Stripe's intricate data landscape and work alongside leaders to transform business needs into data-driven solutions. Your responsibilities will include building metrics, designing scalable data pipelines, creating dashboards, and generating reports that guide business operations. You will deliver actionable business insights through thorough analyses and compelling data storytelling. Who You Are We are seeking candidates who meet the minimum qualifications listed below. If you meet these requirements, we encourage you to apply. Preferred qualifications are advantageous but not mandatory.

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.

Role Overview Primark is hiring a Data Science & Measurement Lead in Dublin. This position guides data-driven projects that shape how the company measures performance and makes decisions. The role works closely with teams across the business to find new ways to support growth and strengthen customer experiences.

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 leading global provider of language services and technology! As a Business Development Managerwithin our innovative AI Solutions group (DataForce), you will focus on forging new business relationships and serving as a strategic partner to customers. DataForce is an expanding service dedicated to delivering superior data for Human-Machine Interaction to some of the world's most prestigious tech companies. Our team specializes in gathering, enriching, and processing training data for various Machine Learning applications in the AI sector.Being part of the TransPerfect family, the largest provider of language and technology solutions globally, you'll have the opportunity to work from over 100 offices worldwide as we continue to recruit talent globally.Key Responsibilities:Identify and research potential clients within the target marketQualify and quantify business opportunitiesDrive leads from initial generation to successful closureEnsure client satisfaction and successDraft and execute comprehensive business plansComprehend clients’ business and technical needsBecome a subject matter expert on our products and stay updated on industry trendsTrack business opportunities using TransPerfect’s CRMCoordinate with production and technology teams across diverse time zones and culturesGenerate and manage high-value, profitable business transactionsMonitor and report on KPIs, providing updates on account progress, health, risks, and opportunitiesParticipate in tradeshows and contribute to marketing initiatives through case studies and social media engagementProvide precise weekly forecasts and daily updatesAssist in budget planning and ensure adherence to financial health in client engagementsManage stakeholder communications regarding business accountsFacilitate training and adoption of technologies and services for internal and client teams

We are seeking a passionate and analytical Growth Data Scientist to join our dynamic team at Intercom. In this role, you will leverage data to drive growth strategies, enhance user engagement, and improve overall business performance. You will collaborate with cross-functional teams to analyze trends and derive actionable insights, enabling us to make data-driven decisions that align with our growth objectives.

Join the team at Domino's as a Delivery Expert! We are looking for enthusiastic individuals who love to drive and deliver delicious pizzas to our customers. As a Delivery Expert, you will be the face of our brand, ensuring customer satisfaction through timely and friendly service.Your responsibilities will include:Delivering pizza and other menu items to customers' homes or businesses.Maintaining a positive attitude while providing excellent customer service.Ensuring the safe and efficient delivery of our products.Assisting in-store operations when needed.

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

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.

Role overview airapps seeks a Data Engineer in Dublin to design and build data solutions for its products and daily operations. The role requires a mix of technical expertise and teamwork, supporting both the technical and business sides of the company. What you will do Design and implement data architectures tailored to business requirements Maintain data integrity across several platforms Collaborate with teams from different departments to extract and interpret data-driven insights Streamline and improve workflows for handling data Location This role is based in Dublin.

Join Version1 as a Data Architect, where you will play a pivotal role in designing and implementing robust data solutions that drive business intelligence and analytics. You will collaborate with cross-functional teams to ensure data integrity and optimize data flow across various platforms. Your expertise in data modeling, ETL processes, and database design will be crucial in transforming our data landscape.

About ChalkChalk is revolutionizing the data platform landscape, enabling the future of machine learning applications. We simplify complexities and overcome latency and scalability challenges that have historically hindered ML capabilities. Our platform combines the high performance of Rust with developer-friendly tools that are a pleasure to work with. Trusted by leading companies, Chalk is instrumental in tackling issues such as preventing fraudulent credit card transactions, verifying identities, and enhancing clean energy capture. We have recently secured a $50 million Series A funding round led by Felicis.About the RoleAs a talented software engineer, you will design and implement tailored technical solutions while collaborating with our machine learning teams to enhance Chalk’s proprietary infrastructure. You will engage directly with Chalk's customers to construct efficient feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This role offers you a remarkable chance to work closely with clients, gathering requirements and engineering feature pipelines that support critical applications, including cancer detection, fraud prevention, and product recommendations. Join us in-person as an early member of our high-growth startup and make a lasting impact.Your ResponsibilitiesDevelop code to implement Chalk technology for our customers and prospects, familiarizing yourself with Chalk's infrastructure to ensure optimal integration across diverse environments.Collaborate closely with our Engineering and Sales teams.Serve as the primary technical point of contact during pre-sales and post-sales processes, including customer onboarding and ongoing support.Advise customers on new product offerings as their business needs evolve.Assist in interviewing and expanding the Engineering team.

airapps is looking for a Data Analyst based in Dublin. This position centers on turning raw data into insights that help guide business decisions. Role overview This role involves working with data sets, identifying trends, and presenting findings to support company goals. The Data Analyst will help translate complex information into clear, actionable recommendations. What you will do Analyze data to uncover patterns and trends Prepare reports and visualizations for stakeholders Support decision-making with clear, data-driven insights Requirements Strong interest in data analysis Ability to work effectively in a busy team setting