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We are not here to play zero-sum games. Shopify Engineering is focused on building the best product for our Merchants. You will enable entrepreneurship and create new value for the world.&nbsp;We’re looking for experienced and curious software engineers to help build the future of commerce.&nbsp;<ul><li>Our engineering culture is deeply collaborative, truth-seeking, candid, and merchant obsessed</li><li>Our success hinges on our ability to build and scale the platform that powers commerce for millions of merchants. And do it in a robust and performant way.&nbsp;</li></ul>We believe that a great engineer can apply and hone their craft across multiple domains. That’s why we hire generalists, give them opportunities to learn new technologies and tools, and provide support and mentorship along the way.&nbsp;Shopify engineers contribute to the entire commerce “stack.” Think: delivering merchant and buyer-facing applications, creating complex financial solutions, improving&nbsp;open source communities, building internal tools to improve developer experience, and more.&nbsp;If you care deeply about what you do, and you’re committed to the relentless pursuit of developing and&nbsp;mastering&nbsp;your craft, Shopify Engineering might be for you.The Site Reliability Team:<ul><li>Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.</li><li>Build and improve tools to keep our platform resilient and performant.</li><li>Help define what Resiliency and Site Reliability Engineering means for Shopify.</li><li>Directly impact production systems underpinning commerce for millions of merchants, who&nbsp;generate revenue for their livelihood, their families, and their employees, through the businesses they’ve built on our platform.</li><li>Go on-call and respond to automated alerts and execute playbooks.</li><li>Identify gaps in our processes and build or improve tools to support incident management.</li><li>Develop production tooling and services to improve our platform’s resilience.</li><li>Clean up the noise in our signals, ensuring we can get an understanding of our platform and more efficiently debug problems.</li><li>Ensure we never fail for the same reason twice.</li></ul>Additional Info<ul><li>Specifically in APAC. Our team has geographic requirements that require this individual to be available, and on-call from 0100 UTC - 0800 UTC during on-call weeks.</li><li>Specifically in EMEA. Our team has geographic requirements that require this individual to be available, and on-call from 0800 UTC - 1500 UTC during on-call weeks.</li></ul>Craft has always been the heart of Shopify.&nbsp;We’re a company, founded by crafters, focused on a mission to make commerce better for everyone. This is why we want careers at Shopify to reflect the incredible journey of getting better at your craft and applying it to push our mission forward. Shopifolk generally follow one of two career tracks.The crafter track is designed for individual contributors, whose primary purpose is getting shit done. Crafters hone their skills and gain experience primarily through project contributions, but they may also act as player coaches to their peers or lead small, focused teams of peer crafters executing on specific areas of the business or product.The manager track is designed for people leaders, the stewards of the organization. The tool of a manager is their team, and this is how a manager makes the majority of their impact. They assemble, lead, and aim the team to ensure the team’s crafters achieve Shopify’s mission goals.Still interested?&nbsp;Great! To match you with your ideal role, we’ll take the time to get to know you and the skills you bring to the table. If you’re applying to a specific role, we’ll respond within 10 business days. If we don’t have an immediate opening, don’t worry! We’ll give you an update and keep you in mind for future roles. Just do us a favour and try not to submit more than one or two applications. Only submit additional applications if you&nbsp;really&nbsp;match the criteria for multiple roles.This role&nbsp;may&nbsp;require on-call work

Site Reliability Engineer

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.Before you apply, consider if you can:<ul><li>Care deeply about what you do and about making commerce better for everyone</li><li>Excel by seeking professional and personal hypergrowth</li><li>Keep up with an unrelenting pace (the week, not the quarter)</li><li>Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change</li><li>Bring critical thought and opinion</li><li>Embrace differences and disagreement to get shit done and move forward</li><li>Work digital-first for your daily work</li></ul>About the roleInfrastructure engineers build and develop the blocks that move&nbsp;all&nbsp;of Shopify forward. It's basically building the infrastructure that powers the infrastructure for commerce [aka Shopify]. They handle absurdly high amounts of traffic [think: millions of requests per second] and deliver performant, resilient and seamless shopping experiences for everyone, everywhere.Why you’ll love working at Shopify<ul><li>Build for scale.&nbsp;Build and maintain infrastructure that supports millions of transactions and handles peak loads on the busiest shopping days of the year globally.</li><li>Push technology to its limit.&nbsp;Use tools like Kubernetes, Kafka, and Terraform to create high-performance systems that find the edge of how we can handle critical workloads.</li></ul>Ready to build the backbone of Shopify? Join the team that's making commerce better for everyone.

Infrastructure Engineers

Chubb is looking for an&nbsp;ML/ML Ops Engineer&nbsp;to join our team.&nbsp;As an ML/ML Ops Engineer, you will be working closely with other experienced Machine Learning Engineers, Machine Learning Operations Engineers, Data Engineers, Data Analysts and Product Managers. You will be responsible for developing and delivering advanced AI/ML models into production, leveraging the latest technologies in Natural Language Processing (NLP), deep learning, and transformer architectures. You should possess exceptional ML Ops experience and strong skills in developing, training, tuning, and optimizing machine learning models to effectively collaborate with business and technology leaders in building AI/ML systems that meet organizational needs.&nbsp;Responsibilities:<ul><li>Deliver AI/ML models to production by following high-standard ML Ops processes, including Continuous Integration and Continuous Delivery (CI/CD) practices.&nbsp;</li><li>Own the full lifecycle of AI development from ideation, data exploration, and algorithm design to testing, deployment, monitoring, and tuning of models in production, including the use of prompt engineering for LLMs.&nbsp;</li><li>Develop ML/AI models to support data collection, ingestion, and migration efforts, ensuring integration with existing infrastructures.&nbsp;</li><li>Develop new or leverage/tune existing AI models, with a particular emphasis on transformer architectures and LLMs.&nbsp;</li><li>Evaluate and rank various ML algorithms and methods—including retrieval-augmented generation (RAG) techniques.&nbsp;</li></ul>Qualifications<ul><li>Bachelor’s or Master’s Degree or Ph.D. in Mathematics, Data Analytics, Statistics, Computer Science, Electrical Engineering, Physics, Economics, Bioengineering, or another quantitative field preferred.&nbsp;</li><li>At least 3 years of experience as a Machine Learning Engineer or in a similar role.&nbsp;</li><li>Experience working on cloud platforms such as Azure (preferably), AWS, or GCP.&nbsp;</li><li>Familiarity with container orchestration technologies like Kubernetes (k8s), Docker and CI/CD practices.&nbsp;</li><li>Deep expertise in Python for ML, with proficiency in writing Pythonic code and relevant software design best practices. Familiarity with machine learning libraries for Python (FastAPI, FlaskAPI, scikit-learn, Pandas, SciPy, NumPy, PyTorch, TensorFlow, Hugging Face Transformers, etc.).&nbsp;</li><li>Strong understanding of modern machine learning techniques and algorithms, particularly those relevant to transformers and large language models, including fine-tuning techniques for NLP tasks.&nbsp;</li><li>Deep knowledge of mathematics, probability, statistics, and algorithms, with a focus on supervised and unsupervised learning methods.&nbsp;</li><li>Expertise in natural language processing applications, including but not limited to topic modeling, entity extraction, sentiment analysis, and the use of LLMs for conversational AI.&nbsp;</li><li>Familiarity with business processes, preferably within the insurance industry.&nbsp;</li><li>Confident in decision-making, with the ability to articulate processes or choices as needed.&nbsp;</li><li>Strong motivation and a proactive approach to problem-solving.&nbsp;</li><li>Excellent communication and interpersonal skills, enabling effective teamwork and collaboration.&nbsp;</li><li>Flexibility and willingness to travel as needed.&nbsp;</li><li>Fluency in English; additional languages a plus.&nbsp;</li></ul>Our team makes the difference, every time. For this reason, we offer in return!We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors.Integrity. Client Focus. Respect. Excellence. TeamworkOur core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging.Diversity &amp; InclusionAt Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We earnestly strive to achieve an environment where all colleagues feel comfortable to perform to their full potential and are recognized for their contributions.Many voices, One Chubb!

ML Ops Engineer

Chubb is seeking a talented and experienced individual to act as&nbsp;Cloud – DevOps Engineer&nbsp;to join our COG, Claims Technology team in Thessaloniki.&nbsp;This is a rare opportunity to apply your designing cloud solutions that meet business needs, ensuring scalability, security, and reliability. Moreover, the selected person is going to implement cloud services and migrate existing applications. More specifically:&nbsp;&nbsp;Responsibilities<ul><li>Design, implement, and optimize CI/CD pipelines using tools such as Jenkins.</li><li>Deploy and manage microservices and applications on Azure Kubernetes Service (AKS) and Azure App Services.</li><li>Implement and maintain DevSecOps practices with tools like SonarQube, Nexus, and vulnerability scanners.</li><li>Use Grafana, Azure Monitor, and Application Insights to track performance and reliability metrics.</li><li>Employ AI-based tools and scripts to automate operational tasks, enhance observability, and reduce manual intervention.</li><li>Collaborate across global squads in EMEA, APAC, and LATAM, supporting shared infrastructure practices and release processes.</li><li>Configure and manage AKAMAI (CDN, WAF) and firewalls to support secure and performant web application delivery.</li><li>Respond to and resolve production issues, participate in incident reviews, and implement corrective actions.</li><li>Ensure all deployments and system changes align with Chubb’s security, compliance, and audit requirements.</li></ul>QualificationsQualifications<ul><li>Bachelor’s degree in computer science, Engineering, or related field.</li><li>3+ years in a DevOps or SRE role with hands-on experience in:</li><li>Azure AKS, App Services, and related Azure PaaS components</li><li>CI/CD automation with Jenkins, GitHub, and scripting</li><li>Monitoring with Grafana, Azure Monitor, and App Insights</li><li>Code quality and artifact management using SonarQube and Nexus</li><li>AKAMAI WAF/CDN and firewall configuration in enterprise environments</li><li>Proven track record of working with distributed global teams, especially across EMEA, APAC, and LATAM.</li><li>Experience using AI tools for automating DevOps tasks is a strong plus.</li><li>Strong problem-solving skills, team collaboration, and stakeholder communication.</li></ul>&nbsp;Preferred Skills<ul><li>Experience in insurance, financial services, or regulated industries.</li><li>Exposure to microservices, event-driven architectures, or MLOps practices.</li><li>Familiarity with enterprise governance, change control, and compliance processes.</li></ul>&nbsp;Our team makes the difference, every time. For this reason, we offer in return! We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors. Integrity. Client Focus. Respect. Excellence. Teamwork Our core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging. Diversity &amp; Inclusion At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We earnestly strive to achieve an environment where all colleagues feel comfortable to perform to their full potential and are recognized for their contributions. Many voices, One Chubb!

Cloud-Devops Engineer

Chubb is seeking a talented and experienced individual to act as&nbsp;CECG&nbsp;Head of Data Engineering.&nbsp;This is a rare opportunity to apply your leadership and engineering expertise to a subject you love: Data! We are looking for someone to lead and grow a talented team of data engineering professionals. This candidate will develop people, form strong working partnerships with business and technology leaders, plan and execute data engineering programs, and formulate data and analytics strategies for solving business problems.Responsibilities<ul><li>Develop the vision of the insurance data fabric by defining measurable/actionable objectives and key results for the data engineering chapter to derive transformation of the data ecosystems.</li><li>Derive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.</li><li>Build a data engineering organization that is business-focused, proactive, and resilient.</li><li>Attract, hire, and retain top engineering talent, creating an engineering culture that fosters innovation and collaboration.</li><li>Promote data governance and master/reference data management as a strategic discipline.</li><li>Implement strategies to monitor the effectiveness of data management.</li><li>Drive mediatization of the data capabilities that anticipate changes in the strategic business imperatives.</li><li>Be an inspiring engineering leader, mentor, and coach data engineers and be an active member of the data leadership team.</li><li>Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.</li></ul>Qualifications<ul><li>BSc or MSc in Computer Science or any other relevant field.</li><li>10+ years of relevant working experience ideally in a multinational environment.</li><li>5+ years of proven experience in a data engineering leadership role.</li><li>In-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms.</li><li>Hands-on architecture and delivery experience in large-scale, cloud data management solutions.</li><li>Data technology literate with a detailed understanding of modern data architectures and data analytics platforms.</li><li>Presentation, facilitation, and design-thinking skills.</li><li>Knowledge of relational/object modeling, knowledge/graph modeling techniques.</li><li>Understanding of metamodels, taxonomies, and ontologies.</li><li>Ability to assess rapidly changing technologies and apply them to business needs.</li><li>Experience in a multinational insurance/financial service provider will be considered as an asset.</li></ul>&nbsp;Our team makes the difference, every time. For this reason, we offer in return! We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors. Integrity. Client Focus. Respect. Excellence. Teamwork Our core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging. Diversity &amp; Inclusion At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We earnestly strive to achieve an environment where all colleagues feel comfortable to perform to their full potential and are recognized for their contributions. Many voices, One Chubb!

Head of Data Engineering

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.This Position reports to:Business Analyst Senior Manager &nbsp;Your role and responsibilities In this role, you will have the opportunity to shape how data is transformed and delivered to support advanced analytics and decision-making across Electrification. Each day, you will work translating complex business requirements into scalable and efficient data transformations within Snowflake leveraging the existing Unified Data Model with data from SAP ERP and other business applications. The work model for the role is hybrid or fully remote, as long as you are based within Europe and can align with Central European working hours. Please note that relocation and visa sponsorship are not provided for this role. You will be mainly accountable for:<ul><li>Designing and implementing robust SQL-based data transformations within Snowflake, using the existing Unified Data Model as a foundation.</li><li>Extending the UDM to fulfill specific reporting and analysis requirements from business stakeholders with data from SAP ERP and other business applications.</li><li>Ensuring data quality, consistency, and performance through testing, optimization, and adherence to modeling best practices.</li><li>Providing input into data architecture improvements, metadata management, and governance initiatives to enhance the overall analytical data landscape.</li></ul> Qualifications for the role<ul><li>You are highly skilled in data transformation, data modeling, and cloud data warehousing, and you enjoy working with large-scale enterprise data in a B2B or industrial business environment.</li><li>You have 8+ years of experience in data engineering, business intelligence, or enterprise analytics, designing and delivering reliable, scalable solutions to meet business needs.</li><li>You are highly adept in SQL and data modeling best practices, with deep knowledge of SAP ERP data structures, particularly within the SD, MM, and FICO modules. Experience with Snowflake and Python is a plus.</li><li>You are passionate about translating business questions into structured, high-quality data and collaborating cross-functionally with analysts and stakeholders to deliver value from data.</li><li>You hold a university degree in Computer Science, Information Systems, Data Engineering, or a related field</li><li>You are at ease communicating in English (other languages are a plus).</li></ul>What’s in it for you?We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger.Call to actionJoin us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Lead business analytics specialist

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.This Position reports to:Service Manager &nbsp;In this role, you will be involved in all deliverables of the Cybersecurity Service portfolio, which is deployed on our control systems to ensure cybersecurity against potential attacks. Each day, you will support strategic cybersecurity direction and future technologies, designs, architecture, and implementations.This position is opening up for the very first time in our team, giving you the opportunity to be among the first to gain irreplaceable and, in the future, highly valuable experience in the field of cross-industry cybersecurity, which is gaining more and more attention worldwide due to the potential threats to process security in industry.You will be mainly accountable for:<ul><li>Conducting cybersecurity audits for our customers (DCS Systems)</li><li>Supporting the design of new installations in compliance with ABB Cyber-security standards and guidelines</li><li>Implementing the delivery of ABB's "CyberSecurity Workspace" product</li><li>Implementing remote connectivity for our customers, monitoring the functionality of customers' network systems</li><li>Running automated cybersecurity auditing of control systems</li><li>Providing technical support and solves problems in own expertise area via remote or on-site</li><li>Investigating customer needs through professional technical consulting</li><li>Works with account teams to identify opportunities in the installed base</li></ul>Qualifications for the role:<ul><li>Degree in engineering field (Automation, Electrical or IT), preferably with networks and cybersecurity focus</li><li>You have 2-3 years of experience in operation technologies, industrial control automation, networking, fieldbus communications, virtualization and network security</li><li>Knowledge of ISA-95 and IEC62443 specifications</li><li>You are at ease communicating in Greek and English language</li><li>You have a driver’s license (field travel 20%)</li><li>You have Strong Computer literacy (MS Office, Outlook)</li><li>A high level of self-motivation, curiosity and desire to learn about new technologies</li><li>A collaborative, solution-focused approach</li></ul>We also offer our employees the following benefits:<ul><li>Receive attractive remuneration based on your experience and skills</li><li>Additional financial benefits, such as annual bonus and internal share purchase program.&nbsp;</li><li>Work from Home Days based on local policy</li><li>Private medical plan (including offers for family members)</li><li>Private Pension Plan</li><li>Seize individual development and training opportunities, from job specific to soft skills.&nbsp;</li></ul>We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Cyber Security Specialist (Technical Service / Automation)

We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale.You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability.This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry.The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines.If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you.What we can offer YOUWhy would you enjoy working with us?&nbsp;<ul><li>Forward-thinking AI-driven team revolutionizing the sports betting industry.&nbsp;</li><li>Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions.&nbsp;</li><li>Competitive benefits, including flexible working options and tangible career growth opportunities.&nbsp;</li><li>Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure.&nbsp;</li><li>Collaborate with a world-class group of professionals innovating at the intersection of data and AI.&nbsp;</li><li>Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events.&nbsp;</li><li>A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT.&nbsp;</li></ul>And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences.&nbsp;

AI Data Engineer

We’re seeking a visionary AI Senior Product Manager to lead the charge in defining and delivering our AI roadmap. In this senior leadership role, you’ll bridge ambitious business goals with cutting-edge AI capabilities—shaping strategy, driving cross-functional alignment, and championing adoption across the organization.You’ll secure executive buy-in, empower your team, and ensure AI becomes a core enabler of performance and innovation across departments like HR, Finance, and Engineering.The Player You bring a proven track record of leading AI initiatives at scale, with deep knowledge of ML, generative AI, and data-driven strategy. You’re equally comfortable presenting to the C-suite and mentoring technical teams.Your strength lies in turning vision into impact—translating complex AI capabilities into business value, securing alignment, and building a culture of innovation. If you’re ready to shape the future of AI in a dynamic, fast-moving environment, we’d love to talk.What we can offer YOU<ul><li>Lead AI transformation initiatives within a global company shaping the future of sports betting technology.&nbsp;&nbsp;</li><li>Champion high-impact projects that translate cutting - edge AI innovation into tangible business value.&nbsp;&nbsp;</li><li>Competitive benefits, flexible working options, and the opportunity to take your career to the next level in a leadership role.&nbsp;&nbsp;</li><li>Collaborate with a world-class team of AI engineers, business analysts, and stakeholders to execute visionary AI strategies.&nbsp;&nbsp;</li><li>Access to advanced tools, infrastructure, and training to stay ahead in the rapidly evolving AI field.&nbsp;&nbsp;</li><li>Opportunities to participate in conferences, leadership mentorship programs, and industry events.&nbsp;&nbsp;</li><li>A culture that rewards leadership, innovation, and strategic thinking while empowering teams to drive impactful change.&nbsp;</li></ul>And if that's not enough; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology.&nbsp;Full JD Available on requestOpen to hiring in London, Athens OR Lviv

AI Senior Product Manager

We’re expanding our AI capabilities and seeking an AI Solutions Manager to bridge the gap between innovation and impact. You’ll work across teams — from HR to Finance to Engineering — to identify high-value opportunities for AI, translate them into actionable use cases, and ensure successful adoption.This role is all about making AI real: aligning projects with business goals, driving measurable results, and helping teams seamlessly integrate AI into their daily workflows. You’ll be the voice of the business in technical conversations and the advocate for AI in strategic planning.The Player You’re a strategic thinker with a strong grasp of both business needs and AI potential. You’ve led cross-functional initiatives, translated complex ideas into clear value, and championed the adoption of new technologies.With strong communication, analytical skills, and a passion for impact, you know how to turn opportunity into outcomes—and how to bring others along with you.What we can offer YOU:<ul><li>Attractive benefits that include flexible working options and opportunities for tangible career progression.&nbsp;</li><li>A world-class team that's redefining the sports betting industry through AI, providing a vibrant and collaborative working environment.&nbsp;</li><li>The opportunity to build on our established machine learning capabilities and help shape the next generation of AI-powered betting experiences.&nbsp;</li><li>Access to cutting-edge tools, resources, and training to support your growth and development in the rapidly evolving AI landscape.&nbsp;</li><li>The chance to see your work fuel innovation and deliver impactful solutions to a global betting audience.&nbsp;</li><li>Regular opportunities to participate in knowledge-sharing sessions, conferences, and industry events to stay at the forefront of AI developments.&nbsp;</li><li>A culture that values intellectual curiosity and encourages exploration of how AI intersects with other emerging technologies and global business trends.&nbsp;</li></ul>And if that's not enough; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology.&nbsp;Full JD Available on requestOpen to hiring in London, Athens OR Lviv

AI Solutions Manager

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