Datalex

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior Engineers. Candidates should have 8+ years of experience, strong knowledge of AI technologies, and proficiency in programming languages like Python and tools such as Docker and TensorFlow. A degree in Computer Science or a related field is required, along with a passion for innovative software engineering practices.

Senior Software Engineer - Pricing AI (Manchester) The Role We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust code and unit tests to developing APIs and integrating machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing, and develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics; work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services; ensure APIs are secure, well documented, and perform at scale. Write and maintain comprehensive tests for your code; use PyTest for unit testing and Selenium (where appropriate) for end to end or UI testing to automate quality assurance; ensure that new features have proper test coverage and meet quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models; containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments; optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post deployment. Keep up to date with the latest developments in Python, AI/ML technologies, and software engineering best practices; proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. Provide technical guidance and mentorship to Junior Engineers. Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience); a Master's degree or specialization in Artificial Intelligence/Machine Learning is a plus. Must have 8 years' experience working as a Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit, Mockito, PyTest, and Selenium. Strong working knowledge of the PyData stack-pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation, and experience with data analysis and troubleshooting data related issues. Knowledge of design patterns and software architectures. Familiarity with CI/CD and automation tools; experience using Git for version control and platforms like Bitbucket for code collaboration; knowledge of build tools and pipeline configuration (Jenkins) to automate testing and deployment. Strong problem solving and analytical skills. Presentation and teamwork skills. Understanding of both Waterfall and Agile methodologies.

Location Onsite / Hybrid Role Product Owner At Datalex, our people are our assets who enable the success of our customers.Our customers represent the world's leading travel retailers and recognise us for our world class products, talent and partnership commitment. The Role As a Product Owner in Datalex, you will be part of our agile delivery teams and own the product life-cycle from concept to delivery. You will be a key member of the team that builds products iteratively to drive growth, while supporting our partners. You will be the product expert for your teams and someone that thrives learning and building complex products. You will have a good understanding of technical architecture. You will be curious about our customers, our products and our processes, while sharing and implementing ideas to optimise how we deliver valuable, user-friendly products to our customers. Key Responsibilities Define user stories and acceptance criteria for all capabilities and activations with support from Product Managers, focusing on our core API's and the business value. Ensure that all stories support an iterative approach to product development. Responsible for story refinement and dependency mapping for new features and development across multiple pods and teams. Document all capabilities for external consumption. Sign-off completed stories by ensuring they meet our quality and acceptance criteria. Build and maintain the product backlog for your agile teams ensuring your backlogs are planned a minimum of 4 weeks ahead of the sprint starting. Prioritise and manage your backlog working closely with the Product Manager to ensure it is in-line with our strategic roadmap and commercially sound. Work closely with our customer and agile teams to activate our products with our partners, documenting requirements and supporting queries. Actively participate in all agile ceremonies and ensure that actions and improvements are implemented within your teams, taking a key role in the execution of the deliverables. Support Product Managers with training, demonstrations and documentation. Manage stakeholders across the organisation from teammates to leadership and build strong, positive relationships. Any other requests your manager may have in relation to the Product function and your role, that support the Datalex growth strategy. Experience Required Minimum 5+ years as an agile Product Owner in a B2B / enterprise environment, that works closely with partners. Airline industry and technical knowledge is a strong advantage but not necessary. You are a self-starter and passionate about the travel industry. You must have strong analytical and problem-solving skills, as well as an adaptable mindset. You will excel at time-management, be very detail orientated and focused on customers and quality. Must be able and willing to travel to other Datalex offices and Customer sites periodically. Candidate must have the relevant visa in place to work in the UK or Ireland. About Datalex Datalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at Are you currently based in the country of employment? Do you have eligibility to work and reside in the country of employment? Datalex offers a hybrid work model. Are you willing to work from the office at least two days per week?

Senior Cloud Engineer At Datalex we are currently engineering the next evolution of our product, our platform, our infrastructure, and the deployment capabilities that tie them all together. Not only will the new solutions allow our existing customers to deliver additional functionality faster, they will also reduce the time to market for new customers and align to meet the demands of the modern travel e commerce world for years to come. To achieve this goal, we are building a highly skilled, cross functional team to spearhead the efforts and help optimize Datalex's operational capabilities (meaning to build a modern continuous delivery model, producing a solution that is optimized to deploy and run on the AWS platform). The Role The team will be comprised of technologists with a wide area of skills required to build, deploy, run, and support enterprise grade, production systems. You will be tasked with improving, and measured on, key deployment and operation metrics such as deployment time/frequency, site availability, and downtime required per release. Duties and Responsibilities Design, implement, and maintain the company's AWS cloud infrastructure. Ensure high availability and performance of all applications and services deployed in the AWS cloud. Automate the provisioning and management of AWS resources. Monitor the utilization of all AWS resources and take action to optimize cost and performance. Design and implement security controls to protect data and systems in the AWS cloud. Perform regular backups of all data stored in the AWS cloud. Respond to incidents and perform root cause analysis to prevent future outages. Collaborate with other teams to plan and execute projects that require changes to the AWS infrastructure. Write technical documentation for all aspects of the AWS infrastructure. Stay up to date on new features and services offered by AWS. Technologies in Scope Apache, Tomcat, JBoss. Oracle, MongoDB, Memcached, Kafka. Python. Jenkins with a focus on pipelines. Atlassian suite Bitbucket/Jira/Confluence. API management tools such as APIGee. Skills and Experience Required Bachelor's degree in engineering, computer science, or equivalent combination of education and experience. An in depth understanding of software development practices. 8+ years' experience working on AWS platform. AWS certification(s) being able to demonstrate practical application of your knowledge. Automation and Infrastructure as Code are central to how you operate. In depth knowledge of distributed systems, networking, storage, and security. Have experience building and supporting high performance applications. Have demonstrable experience and expertise in managing both traditional virtual machines, but also Kubernetes. Have proven knowledge and strong opinions on best practices around infrastructure management on the AWS platform. Kubernetes, Docker / Containers. Linux is the platform OS you will work on so you need to be a power user. TCP, DNS, SSL, Load balancing (HAproxy, F5). AWS EC2 and managed services. Skills Desired Practical experience with DevOps concepts: CI/CD, ChatOps, etc. Familiar with Tomcat, JBoss and session management between web containers. Scripting levels sufficient for sysadmin, deployments, and API interaction. Running java applications in containers at scale in production. Understanding of when to use containers and when to use VMs. Full stack application and performance troubleshooting skills. Experience building low latency systems (in AWS preferred). Experience with design and management of applications across the areas of: Minimizing single points of failure; Zero down time upgrades; Auto scaling applications that have cold start challenges; Distributed applications; Implementing and using metrics to make data driven decisions; Systems that negate the need for people to log into servers. About Datalex Datalex is a market leader in airline e commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at .

Senior Cloud Engineer At Datalex we are currently engineering the next evolution of our product, our platform, our infrastructure, and the deployment capabilities that tie them all together. Not only will the new solutions allow our existing customers to deliver additional functionality faster, they will also reduce the time-to-market for new customers and align to meet the demands of the modern travel ecommerce world for years to come. To achieve this goal, we are building a highly-skilled, cross-functional, team to spearhead the efforts and help optimize Datalex's operational capabilities (meaning to build a modern continuous delivery model, producing a solution that is optimized to deploy and run on the AWS platform). The Role The team will be comprised of technologists with a wide area of skills required to build, deploy, run, and support enterprise-grade, production, systems. You will be tasked with improving, and measured on, key deployment and operation metrics such as deployment time/frequency, site availability, and downtime required per release. Duties and Responsibilities Design, implement, and maintain the company's AWS cloud infrastructure. Ensure high availability and performance of all applications and services deployed in the AWS cloud. Automate the provisioning and management of AWS resources. Monitor the utilization of all AWS resources and take action to optimize cost and performance. Design and implement security controls to protect data and systems in the AWS cloud. Perform regular backups of all data stored in the AWS cloud. Respond to incidents and perform root cause analysis to prevent future outages. Collaborate with other teams to plan and execute projects that require changes to the AWS infrastructure. Write technical documentation for all aspects of the AWS infrastructure. Stay up-to-date on new features and services offered by AWS. Technologies in Scope Apache, Tomcat, JBoss. Oracle, MongoDB, Memcached, Kafka. Python. Jenkins with a focus on pipelines. Atlassian suite Bitbucket/Jira/Confluence. API management tools such as APIGee. Skills and Experience Required Bachelor's degree in engineering, computer science, or equivalent combination of education and experience. An in-depth understanding of software development practices. 8+ years' experience working on AWS platform. AWS certification(s) being able to demonstrate practical application of your knowledge. Automation and Infrastructure as Code are central to how you operate. In-depth knowledge of distributed systems, networking, storage, and security. Have experience building and supporting high performance applications. Have demonstrable experience and expertise in managing both traditional virtual machines, but also Kubernetes. Have proven knowledge and strong opinions on best practices around infrastructure management on the AWS platform. Kubernetes, Docker / Containers. Linux is the platform OS you will work on so you need to be a power user. TCP, DNS, SSL, Load balancing (HAproxy, F5). AWS EC2 and managed services. Skills Desired Practical experience with DevOps concepts: CI/CD, ChatOps, etc. Familiar with Tomcat, JBoss and session management between web containers. Scripting levels sufficient for sysadmin, deployments, and API interaction. Running java applications in containers at scale in production. Understanding of when to use containers and when to use VMs. Full-stack application and performance troubleshooting skills. Experience building low latency systems (in AWS preferred). Experience with design and management of applications across the areas of: Minimizing single points of failure; Zero down-time upgrades; Auto scaling applications that have cold start challenges; Distributed applications; Implementing and using metrics to make data driven decisions; Systems that negate the need for people to log into servers. About Datalex Datalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered inDublin, Ireland, and maintains offices acrossEurope, theAmericas, andAsia. Learn more at Are you currently based in the country of employment? Do you have eligibility to work and reside in the country of employment? Datalex offers a hybrid work model. Are you willing to work from the office at least two days per week?