31 Empregos para Tecnologias Emergentes - Portugal

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

About Uphold
Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries.

Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone.

To learn more about Uphold, please visit

The Opportunity
Uphold is looking for a Machine Learning Engineer to join our Data team. This is an incredibly exciting opportunity where you'll get to join a team of engineers, scientists, and analysts who are passionate about data and technology with a great sense of collaboration and responsibility.

As a key member of our dynamic Data Team, you will play a crucial role in the development, deployment and maintenance of machine learning (ML) systems in production. You'll be working on a wide-range of use-cases including unsupervised and supervised machine learning and LLM-based solutions, from retrieval augmented generation (RAG) systems to agentic workflows. You will ensure the robustness and scalability of such systems, critical to support our product and/or internal processes.

At Uphold, you will be able to work in a very fertile environment to bring your ideas to life, while integrated in a fast-paced industry.

What You'll Be Doing Primarily

• Partner with Data Scientists and Data Engineers to deploy and maintain ML systems in production environments;
• Design and implement robust data pipelines and ML workflows using Python, SQL, Snowflake and AWS services;
• Build and maintain reusable components including feature stores, model registries, and experiment tracking systems;
• Implement best practices for monitoring model performance, data drift, and system health in production;
• Develop continuous integration and delivery (CI/CD) workflows for ML using tools like GitHub Actions or similar;
• Design and deploy LLM-based solutions such as retrieval-augmented generation (RAG) systems and intelligent AI agents using LLM frameworks such as LangChain, AutoGen or CrewAI;
• Collaborate with Product Managers and fellow Engineers to bring ML systems to life as product features;

Required Qualifications

• Bachelor's degree in a quantitative field such as Computer Science, Software Engineering, Data Science or related field.
• At least 2 to 3 years of professional experience working with ML in production environments.
• Good knowledge of ML algorithms, data pipelines and engineering best practices.
• Experience using cloud-based architectures for deploying ML solutions.
• Familiarity with experiment tracking and model registry tools such as MLflow or SageMaker.
• Good understanding of Large Language Models and generative AI foundations.
• Good knowledge of the software engineering best practices.
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging models in a cloud-based environment.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Fluent written and oral English skills.

Bonus If You Have

• Advanced degree preferred.
• Exposure to MLOps tools (e.g. Kedro, MLflow, feast, Kubeflow, Sagemaker).
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (e.g. Kubernetes, Terraform).
• Experience working with database systems such as PostgreSQL and Snowflake.
• Open-source project contributions of any kind, such as tools developed to solve specific problems you've had or fixing issues on existing projects.

Importantly, if you're looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities.

What We Have To Offer You

• An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep innovating and challenging more each day.
• An international team, in a cutting-edge field, working on the most fascinating projects.
• Growth and career opportunities, and the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
• Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.

Be part of a great company that is revolutionizing financial services. Apply now

EEOC Employer

We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us better.

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom , Property24.

Join OLX and see how far you can go
.

JOIN OUR ML TEAM
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What You Will Be Doing

• Work in the Data Science team focusing on the Motors vertical.
• You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
• You will see your work in action and measure the true impact of your models on our platform.
• You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
• Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
• Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
• Most importantly, you will have fun working with us :)

Who We Are Looking For

• At least 2 to 3 years of professional experience as an MLE
• Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
• Good knowledge of the best engineering practices
• Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
• Experience with serving machine learning models at scale
• Excellent knowledge of Python
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice To Have

• Exposure to MLOps tools
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
• Understanding of A/B testing and experimentation

Our Hiring Process

• Recruiter Interview
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our Benefits

• Permanent contract
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX websites around the world
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.

Sysmatch
is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, privileging their robustness and scalability. More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative and forward-looking Company.

About the Role: Machine Learning Specialist

Required Skills:

• Minimum of
  5 years of experience
  wit
  h Python and libraries such as TensorFlow, PyTorch, and Transformers (Hugging Face)
  .
• Proven experience in
  Natural Language Processing (NLP)
  , including tasks such as text classification, sentiment analysis, and language generation.
• Strong knowledge of MLOps
  and the complete lifecycle of machine learning models.
• Hands-on experience with
  Vertex AI on Google Cloud and Azure ML on Microsoft Azure.

What we offer:

• A dynamic project in a well-regarded client at an international level;
• Salary classification according to the experience shown;
• Career development with intervention in ambitious and innovative technological projects;
• Good working environment with young and dynamic teams;
• Personalized follow-up to each consultant;
• Integration into Sysmatch staff with access to all company activities;
• You will be part of our trainings and Team Building events;
• A network of hundreds of partnerships with companies in countless sectors that offer you exclusive discounts (health, wellness, travel, gastronomy, culture, leisure, training, etc).

Recruitment, selection and integration process:

The first contacts will be made by phone call or video call.

We are prepared to ensure the monitoring and integration of new employees and support them in this new phase of their professional career.

Join Atlana – Where Innovation Meets Talent

At Atlana, we believe in the power of technology and great people. We specialize in IT nearshoring and custom software development, helping businesses scale with skilled, flexible tech teams. Based in Lisbon, we work on exciting projects that make a real impact.

We're looking for passionate people who love their work and want to grow in a collaborative, innovative, and supportive environment. If you enjoy tackling challenges, learning new things, and working with cutting-edge tech, you'll feel right at home with us

What we offer:

A friendly, inspiring, and growth-focused culture

Exciting projects with modern technologies

Career development opportunities and learning support

Competitive benefits

A remote-friendly work environment

We're Hiring: Machine Learning Engineer

Role Overview

Responsible for transforming the models of a Banking institution into optimised, scalable, and production-ready inference pipelines. Acts as the bridge between exploratory modeling and production deployment.

Key Responsibilities

• Convert prototypes and notebooks into production-grade inference pipelines (batch or real-time).

• Optimize models for low-latency execution and efficient resource usage.

• Develop pre- and post-processing logic for model input/output data.

• Ensure testability, versioning, and traceability of models in production.

• Work with MLOps teams to integrate models into CI/CD pipelines and continuous retraining processes.

• Collaborate with Data Engineers on integration with Feature Stores and real-time data sources.

• Ensure compliance with security and regulatory requirements (logging, auditability, validation).

Requirements

• Bachelor's or Master's degree in Computer Engineering, Data Science, or a related field.

• Proven experience in developing and deploying machine learning models to production.

• Hands-on experience with frameworks such as MLflow, TensorFlow Serving, TorchServe, ONNX Runtime, or similar.

• Proven experience in model serialisation, optimisation, and deployment (e.g., LightGBM, XGBoost, scikit-learn, PyTorch).

• Strong ability to work in multidisciplinary teams with Data Scientists, MLOps, and Data Engineers.

• Previous experience in personalisation projects, recommendation engines, or real-time decision systems is a plus.

Note:
Hybrid opportunity in Lisbon office, 3 days per week required

Ready to take the next step?

Send us your
CV
, and let's build something amazing together

Learn more about us:

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• The position involves developing and deploying cloud-based computer vision systems that operate reliably at scale. Responsibilities include engineering both real-time and batch vision solutions — from training deep learning models to serving them through scalable cloud APIs.
• The role focuses on transforming AI models into production-ready services for on-premises and cloud environments, ensuring performance, security, and cost efficiency, and enabling applications in industries such as manufacturing, security, healthcare, and retail.
• Design, train, and optimize computer vision models for production use cases (object detection, image segmentation, OCR, video analytics, etc.).
• Package and deploy AI models to cloud environments for scalable, high-availability services.
• Implement pipelines for data ingestion, preprocessing, and inference in the cloud.
• Work closely with product and engineering teams to integrate AI features into customer-facing applications.

YOUR PROFILE

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow).
• Hands-on experience with at least one cloud platform (AWS Sagemaker, Azure Machine Learning, Google Vertex AI, etc.).
• Experience building and deploying ML models using Docker, Kubernetes, or serverless services.
• Solid understanding of computer vision algorithms and real-world performance challenges.
• Familiarity with traditional machine learning methods (SVMs, decision trees, clustering, feature engineering).
• At least 5 years of experience in a similar role involving computer vision and AI/ML deployment.
• Experience with streaming/video analytics in the cloud.
• Knowledge of CI/CD for ML (MLOps).
• Exposure to Generative AI techniques and concepts.

WHAT YOU'LL LOVE ABOUT WORKING HERE

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

ABOUT CAPGEMINI

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Apply now

Na Mootiva, estamos a reforçar a nossa equipa com um AI/ML Engineer para integrar projetos de alto impacto na área de Inteligência Artificial, Machine Learning e GenAI. Procuramos um profissional apaixonado por inovação e tecnologias emergentes, capaz de desenhar, desenvolver e implementar arquiteturas avançadas de Analytics e AI.

O que vais fazer

• Analisar, desenhar e implementar arquiteturas avançadas de Advanced Analytics, ML, AI e GenAI;
• Desenvolver soluções de Machine Learning e Inteligência Artificial, incluindo GenAI e soluções Agentic;
• Apoiar o ciclo de vida completo de soluções de Data Science, aplicando metodologias de MLOps e LLMOps;
• Desenhar e construir arquiteturas robustas para implementação de sistemas e plataformas ML/AI/GenAI;
• Acompanhar e aplicar as mais recentes tecnologias e frameworks para suportar soluções AI/ML/GenAI em Cloud (Azure, AWS, GCP).

O que procuramos

• ≥ 2 anos de experiência comprovada em AI/ML/GenAI ou funções equivalentes de Advanced Analytics;
• Conhecimento teórico e prático em fundamentos de Data Science, ciclos de vida de soluções de Data Science, MLOps e LLMOps;
• Experiência em desenvolvimento de software e implementação de soluções AI/ML/GenAI;
• Experiência em design e arquitetura de sistemas para ML/AI/GenAI;
• Conhecimento atualizado das tecnologias de ponta para suporte de soluções ML/AI/GenAI em cloud;
• Boa comunicação em português e inglês (oral e escrita).

O que oferecemos

• Projetos de vanguarda na área de AI/ML/GenAI;
• Integração em equipas multidisciplinares e inovadoras;
• Regime híbrido;
• Oportunidade de evolução contínua e contacto com tecnologias de última geração.

Candidata-te já

Envia o teu CV para

e junta-te a nós para construir o futuro da AI.

About Us
Hostelworld Group, the global hostel-focussed online booking platform, inspires adventurous minds to meet the world and come back with life-changing stories to tell. Our customers are not your average tourists, they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations – all in the palm of their hand.

It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17,800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.

Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-calibre team of 280 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. You can read more about our story here.

LOCATION
This role is based in Portugal. We have an office hub in Porto available for those who prefer a hybrid model where you can spend time with colleagues in-person. You will need to be able to commute to our office hub as required from time to time.

Who You'll Work With
Hostelworld is structured differently than most tech companies in world, as we do not have an Engineering or Product department. Instead, we have "Growth Teams" which are full stack groups that are organised into cross functional squads. As a Machine Learning Engineer, you will play a key role in shaping the Machine Learning Science Growth Team progress on building products that help travellers find the right inventory of hostels and experiences as well as meet, hang out and travel with other travellers.

What You'll Do

• Translate business and customers problems into machine learning solutions.
• Defining hypotheses, measure and monitor the success.
• Propose, design, build, maintain and deploy machine learning solutions into production.
• Express and communicate the business and technical impact of the machine learning solutions to a variety of audiences.
• Responsible for the end-to-end process of designing and running experiments to serving production models at scale.
• Ensure that the solutions are maintainable, performant, scalable and debuggable.
• Automate and abstract away different repeatable routines that are present in most machine learning tasks.
• Provide support to software engineers and product managers building machine learning solutions.
• Bring the best software development and infrastructure practices to the Machine Learning science squad.

What We're Looking For
Experience & Qualifications:

• 4 years minimum work experience in a commercial environment.
• Experience with streaming or other dynamic data.
• Proficiency in machine learning concepts such as data exploration, feature engineering, model selection, training and testing.
• Proven experience in productization of machine learning solutions – libraries, packages, REST APIs, serving and monitoring.
• Familiarity with ranking and recommender systems
• Familiarity with deep learning.
• Experience with leveraging LLMs and agents for internal processes and customer-facing implementations.
• Experience with Google infrastructure tools – VertexAI, GCP, Tensorflow, Gemini – is a plus.

Knowledge & Skills

• Proficiency programming in Python and SQL-like databases.
• You are proficient in at least one of the following machine learning tasks – classification, regression or clustering.
• You are familiar with at least two of the following libraries or packages – scikit-learn, pandas, Spark MLlib, TensorFlow or PyTorch.
• Ability to carefully design solutions that scale with increasing volumes of data.
• Ability to follow software engineering best practices, including requirements analysis, system design, modularity, version control, testing and documentation.

What We Offer

• Competitive salary & benefits
• Enhanced annual leave plus 3 Wellbeing Days per year
• Paid family leave (maternity, paternity, surrogacy & adoption)
• Agile working (plus a Working from Abroad Policy)
• Support for your ongoing growth & development
• Inclusive people policies (sickness, menopause, compassionate and fertility leave)
• A chance to give back to your local community with 5 paid volunteering days

OUR BEHAVIOURS

• Grow others - We fundamentally believe that investing in growing others benefits everyone, whether it's helping them develop hard or soft skills. We want learning and growing to be part of our DNA to help makes us a better team, together.
• Master it - We are obsessed with our area of expertise and enjoy developing our skills. We rarely take things at face value; we investigate, interrogate, and always look for 'the why,' and wherever possible, we use data to find the best solution.
• Collaborate - We are in it together, for the tough stuff and the celebrations too. To achieve the best results, we need expertise from all areas of the organisation, and we wholeheartedly welcome diverse thinking.
• Adapt - We work fluidly, adapting to new information and the evolving environment while staying committed to our goals. Innovation and experimentation fuel our projects and we're never afraid to pivot.
• Deliver - Our focus is always on the end result; we value outcomes over activity. We collaborate to deliver work at speed without dropping any of our other behaviours.

We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role. If you don't meet them all, please consider applying if you think you can still perform the role as described.
Our vision is to be the world's leading social travel platform.

We are on a mission to help travellers find their people and create unforgettable moments together. Connections matter as much as destinations, and we are building a global ecosystem to enable them.

Since the launch of our social network in the hostelling category in 2022, Hostelworld has experienced transformational growth. We have successfully welcomed over 2.6 million social members to our platform, proving the strong demand for connection in travel. This vibrant community is not just booking trips; they are actively engaging, co-creating, and becoming our most powerful brand advocates. The platform is rich with user-generated content, including a rapidly growing volume of customer testimonials and authentic travel stories that provide powerful social proof.

The growth in engagement is remarkable: the number of messages sent between travellers has grown significantly faster than the number of trips booked by social members, demonstrating the deep social utility of our platform. This momentum is reflected in our robust financial health, underscored by a strong balance sheet powered by an asset-light, cash-generative business model.

We are not just another Online Travel Agent (OTA); we have created a new category of travel altogether: Social Travel. Our singular focus on helping travellers find people to hang out with is the foundation of our strategy. It has allowed us to build a powerful and defensible market position, which attracts highly valuable customers and shifts more of our business onto our mobile-native apps.

While our app and social features create a sticky user experience, our true competitive moat stems from the incredibly rich, proprietary data set generated by our social network. As our community grows, so does the value of this data, creating a compounding network effect that is nearly impossible to replicate. This "social flywheel" allows us to understand traveller behaviour, predict needs, and personalise experiences in ways that generalist OTAs cannot match. It is the engine that will power our long-term, differentiated growth and solidify our position as the sole player in the Social Travel category we created.

At Our Capital Markets Day In April 2025, We Unveiled Our Ambitious Strategy To Build On Our Success And Realise Our Vision Over The Next Three Years. This Strategy Is Organised Around Five Key Themes

Strengthening the Core OTA Platform: We will continue to enhance our core booking engine, ensuring a seamless and efficient experience for our customers and hostel partners, further solidifying our position as the leading platform for hostel discovery and booking.

• Building 'Pre-Booking' Social Features: We are developing innovative features like 'Travel Plans', designed to engage users much earlier in their travel journey. These features will accelerate the creation of social profiles and drive app downloads, fuelling our social flywheel before a single bed is booked.
• Leveraging AI for an Enhanced Social Experience: We will embed AI into our pre- and post-booking features to deliver unparalleled personalisation and value. This includes AI-powered recommendations for people to meet, places to go, and things to do, making our social network an indispensable travel companion.
• Expanding our Addressable Market: We will expand our reach and product portfolio through targeted partnerships and M&A. This will allow us to cater to a broader segment of the youth travel market and integrate new, complementary services into our social travel ecosystem.
• Building New Revenue Streams: Our social network is more than an engagement tool; it is a new platform for monetisation. We will develop new revenue streams directly from our social features, creating value for our users and our business in ways that traditional OTAs cannot.