Complexio

Complexio is a joint venture between Hafnia and Símbolo, focused on transforming human-machine interaction in sectors like shipping through innovative AI-driven technology. With a commitment to collaboration and development, Complexio aims to redefine industry standards and shape the future of technology.

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Jobs at this company:

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🔥 Tech Project Manager

Posted 9 days ago

📍 United Kingdom

🔍 AI, SaaS

🔧 Requirements

Strong project management experience in AI, SaaS, or data-driven enterprise solutions.
Expertise in managing customer-facing projects, balancing technical execution with business impact.
Solid understanding of AI/ML concepts, data integration, and enterprise software implementation.
Excellent communication and stakeholder management skills, with the ability to translate technical details into business value.
Experience with agile methodologies, Jira, and project management tools.
Ability to thrive in a fast-paced startup environment, handling multiple priorities with autonomy.

💡 Responsibilities

Lead the execution of customer projects, ensuring successful delivery of use cases within agreed timelines and scope.
Act as the bridge between technical teams, customers, and internal stakeholders, ensuring alignment on objectives, milestones, and outcomes.
Manage multiple projects simultaneously, balancing priorities based on business impact and customer needs.

Project ManagementSQLArtificial IntelligenceData AnalysisMachine LearningProject CoordinationJiraCommunication SkillsCustomer serviceAgile methodologiesRESTful APIsRisk ManagementData visualizationStakeholder managementCustomer SuccessSaaS

Posted 9 days ago

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🔥 Engineering Manager - Infrastructure

Posted 18 days ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

2–5 years of experience in leadership across infrastructure, DevOps, or site reliability engineering (SRE).
Experience working with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker, ECS).
Hands-on experience with infrastructure as code (IaC) tools such as Terraform, Pulumi, or CloudFormation.
Strong understanding of CI/CD automation, using tools like GitHub Actions, ArgoCD, or Jenkins.
Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
Experience with databases and storage solutions like Postgres, Redis, Neo4j, or MongoDB.
Basic knowledge of networking, security, and identity management.
Comfortable engaging with clients and stakeholders, with good communication skills.
Interest in growing into a leadership role, with a willingness to take on more responsibility over time.

💡 Responsibilities

Support the design and scaling of cloud-based infrastructure, ensuring security, cost-efficiency, and high availability.
Implement and maintain CI/CD pipelines, automating deployments for efficiency and reliability.
Oversee monitoring, observability, and logging, ensuring system health and uptime.
Manage incident response and disaster recovery planning, ensuring fast recovery and minimal downtime.
Work with security best practices, including IAM, data encryption, and compliance requirements.
Collaborate with clients to understand their technical needs and ensure successful deployment of AI-powered solutions.
Provide technical support and guidance to clients during onboarding, integration, and troubleshooting.
Work closely with business and product teams to align infrastructure solutions with client requirements.
Develop documentation and training materials to help internal teams and clients effectively use our platforms.
Act as a bridge between technical and business teams, ensuring smooth communication and alignment.
Mentor and support engineers, helping them grow their expertise in cloud, DevOps, and automation.
Lead small projects and develop leadership skills by taking ownership of critical technical initiatives.
Stay up to date with emerging technologies in cloud infrastructure, automation, and AI.

Posted 18 days ago

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🔥 Lead MLOps

Posted 20 days ago

📍 United Kingdom

🔍 AI

🔧 Requirements

Hands-on experience with Kubernetes, Docker, and containerised ML workloads.
Strong expertise in AWS, Azure, or Google Cloud, with knowledge of GPU-based computing.
Experience in CI/CD pipelines for machine learning (e.g., GitHub Actions, MLflow, Kubeflow).
Proficiency in Python (experience with Go or Java is a plus).
Strong experience in scripting & automation (Bash, Terraform, Ansible).
Knowledge of vector & graph databases (e.g., Neo4j, Milvus, Pinecone).
Experience managing distributed data storage & processing.

💡 Responsibilities

Deploy and manage ML models in production environments, ensuring scalability and reliability.
Design and maintain ML pipelines, automating training, validation, and deployment workflows.
Optimize AI/ML infrastructure for performance, cost, and efficiency across cloud and on-premise systems.
Integrate and manage vector and graph databases (e.g., Neo4j, Pinecone, Milvus) for AI-driven applications.
Implement observability & monitoring solutions for model performance, data drift, and system health.
Ensure compliance with security and data governance best practices in ML deployment.
Collaborate with Data Scientists and DevOps teams to streamline AI model lifecycle management.

AWSDockerPythonBashCloud ComputingGCPKubernetesMachine LearningMLFlowAzureCI/CDDevOpsTerraformAnsible

Posted 20 days ago

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🔥 Senior DevOps

Posted 20 days ago

📍 United Kingdom

🧭 Full-Time

🔍 AI

🔧 Requirements

At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud)
At least 3 years experience in working with kubernetes environments
Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability
Experience with cloud-native technologies, CI/CD pipelines, and containerization tools (e.g., Docker)
Familiarity with data integration and management from multiple sources in a distributed system environment
Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation
Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations

💡 Responsibilities

Deploy, manage, and scale cloud infrastructure, meeting the required SLAs
Manage graph and vector databases for optimal performance and reliability
Maintain and Operate platform Observability
Ensure system security by implementing best practices and complying with data protection laws
Provide technical support, troubleshoot complex issues, and ensure uninterrupted service
Document system configurations and procedures and generate performance reports
Cost Management of infrastructure

AWSDockerPythonCloud ComputingCybersecurityGCPKubernetesMachine LearningAzureCI/CDTerraformScripting

Posted 20 days ago

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