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MLOps/LLMOps Engineer A leading European deep-tech company in quantum and AI is looking for a MLOps/LLMOps Engineer to join the team in Zaragoza on a fixed contract until the end of June! You will build and scale cutting-edge LLM systems for clients, owning the full MLOps lifecycle in a fast-paced start-up alongside world-class AI and quantum experts. Key skills required: 1+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, with hands-on experience in managing machine/deep learning. Python programming proficiency, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed. Generative AI exposure. Key words: Machine / Learning / MLOPs / LLMOps / Generative / AI / Artificial / Intelligence / Python / Quantum By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( )

DevSecOps Engineer A fantastic opportunity for a driven DevSecOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. ***This is initially a Fixed Term Contract until the end of June 2026 , with Hybrid working from a new site in Zaragoza.*** Responsibilities Lead the DevSecOps practices and processes within the organization Develop and implement DevSecOps strategies for the organization. Mentor other engineers in the adoption of Cybersecurity best practices. Work with development and operations teams to automate security-based principles. Identify and implement tools and processes to improve software development and delivery. Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience. Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed. Help deploy our software stack to Fortune 500 clients’ servers. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Required Qualifications Bachelor’s degree in Computer Engineering, Computer Science, or related field; alternatively, significant work experience as a Software Engineer, with strong emphasis on Cybersecurity. 2+ years of experience working as DevSecOps Engineer. Strong competence with Network Architecture and related technologies in AWS and/or Azure Cybersecurity competence in SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls. Experience with Cybersecurity Incident Response protocols Competence in cryptographic controls, such as SSH key handling, logging, and auditing. Competence with Key Management Service, key rotation solutions, and automation. Candidates with AWS, Azure and/or Security certifications will be prioritized, especially AWS Certified Security, AWS Certified Advanced Networking. Additional certifications in Cybersecurity and/or Networking (CCNA, CCNP, etc) are highly desirable. Experience designing & building solutions with strong focus on AWS Security and Network services. Strong competence in AWS Guard Duty, Config, Security Hub, Inspector, Control Tower, IAM policies, VPC Flow Logs, as well as corresponding services in Azure. Competence in Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management. Solid understanding and knowledge of standard DevOps practices. Proficiency with one or more programming languages (Bash, Python, Go, etc). Proven ability to troubleshoot and identify the root cause of security issues. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

DevOps Engineer A leading European deep-tech company in quantum and AI is looking for a DevOps Engineer to join the team in Zaragoza on a FIXED CONTRACT until the end of June! Design and implement DevOps strategies, automate deployments, and optimize systems for quantum-inspired software, collaborating with teams to deliver scalable enterprise solutions. Key skills required: 2–5 years’ experience as a DevOps Engineer. AWS cloud, CI/CD pipelines, containerization (Docker/Kubernetes), API deployment, and infrastructure automation (Terraform/CloudFormation). Skilled in programming (Bash, Python, Go), troubleshooting, and collaborating effectively. Key words: DevOps / Engineer / AI / Artificial / Intelligence / Python / GO / API / Docker / Cloud / Quantum / By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( )

DevOps Manager A leading European deep-tech company in quantum and AI is looking for a DevOps Manager to join the team in Zaragoza on a FIXED CONTRACT until the end of June! You will lead DevOps/DevSecOps practices to securely build, deploy, and scale quantum-inspired software, working closely with engineers, leadership, and world-class quantum experts to deliver enterprise-grade solutions in a fast-paced start-up environment. Key experiences required: 3+ years’ experience as a DevSecOps Engineer. AWS/Azure security, network architecture, DevOps, and Infrastructure as Code (Terraform). Programming, incident response, and troubleshooting, with relevant cloud/security certifications preferred. DevSecOps / AWS / Azure / Network Architecture / Cybersecurity / DevOps / Programming / AI / Quantum / By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( )

MLOps/LLMOps Engineer - LLMs / AI / Fixed Term Contract We’re seeking a MLOps/LLMOps Engineer to join our client on an initial fixed term contract working on a hybrid model (2-3 days per week onsite) in either Zaragoza or Barcelona Please note - the initial contract will run until 30th June, 2026. In this role, you will deploy cutting-edge ML/LLMs models to Fortune Global 500 clients, within a world-class team of Quantum experts with an extensive track record in both academia and industry. You will collaborate with the founding team in a fast-paced startup environment and will design, develop, and implement Machine Learning and Large Language Model pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring. The company is backed by global investors and major EU support, and their technology is already reshaping how AI is deployed worldwide by cutting costs, slashing model sizes, and making systems faster, greener, and more accessible. In this role you will receive a base salary (paid pro-rata) plus bonus and retention bonus. What you'll do: Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring. Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle. Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues. Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data. Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize Model performance and resource utilization. Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability. Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes. Communicate effectively with both technical and non-technical stakeholders, providing updates on Large Language Model performance and status. What you’ll need: Bachelor's or master's degree in computer science, Engineering, or a related field. 1+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering. Knowledge in model parallelism in model training and serving, and data parallelism / hyperparameter tuning. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer. Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Spain cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( )

Back-End Engineer A leading European deep-tech company in quantum and AI is looking for a Back-End Engineer to join the team in Zaragoza on a FIXED CONTRACT until the end of June! You will build and scale the server-side systems, APIs, and infrastructure that contribute to providing hyper-efficient software to companies looking to gain an edge with quantum computing and AI. Key skills required: 2–5 years of experience building scalable services in Python or Go. Designing high-performance APIs. Working with relational databases and cloud infrastructure. Comfortable turning R&D prototypes into production-ready systems using Docker, CI/CD pipelines, and AWS. Key words: Backend / Engineer / AI / Artificial / Intelligence / Python / GO / API / Docker / Cloud / Quantum / By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( )

Backend Software Developer A fantastic opportunity for a driven Backend Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. Required Qualifications • 2–5 years of experience developing and maintaining backend systems in Python or Go., • Strong understanding of RESTful API or gRPC design, versioning, and performance optimization., • Experience with Docker and basic familiarity with Kubernetes for deploying scalable services., • Solid understanding of relational databases (PostgreSQL/MySQL) and schema design., • Experience integrating or automating workflows across multiple systems (data, CI/CD, ML)., • Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions)., • Experience with AWS or cloud-based deployment environments., • A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience • Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow)., • Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton)., • Experience building or integrating benchmarking, evaluation, or data automation pipelines., • Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

Python Developer (Backend) A fantastic opportunity for a driven Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. This is initially a Fixed Term Contract Until June 30th 2026 - Hybrid from Zaragoza Required Qualifications • 2–5 years of experience developing and maintaining backend systems in Python or Go., • Strong understanding of RESTful API or gRPC design, versioning, and performance optimization., • Experience with Docker and basic familiarity with Kubernetes for deploying scalable services., • Solid understanding of relational databases (PostgreSQL/MySQL) and schema design., • Experience integrating or automating workflows across multiple systems (data, CI/CD, ML)., • Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions)., • Experience with AWS or cloud-based deployment environments., • A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience • Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow)., • Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton)., • Experience building or integrating benchmarking, evaluation, or data automation pipelines., • Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

Backend Software Developer A fantastic opportunity for a driven Backend Software Developer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. This is initially a Fixed Term Contract Until June 30th 2026 - Hybrid from Zaragoza Required Qualifications • 2–5 years of experience developing and maintaining backend systems in Python or Go., • Strong understanding of RESTful API or gRPC design, versioning, and performance optimization., • Experience with Docker and basic familiarity with Kubernetes for deploying scalable services., • Solid understanding of relational databases (PostgreSQL/MySQL) and schema design., • Experience integrating or automating workflows across multiple systems (data, CI/CD, ML)., • Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions)., • Experience with AWS or cloud-based deployment environments., • A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Bonus Experience • Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow)., • Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton)., • Experience building or integrating benchmarking, evaluation, or data automation pipelines., • Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

MLOps/LLMOps Engineer A fantastic opportunity for a driven MLOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. As a MLOps/LLMOps Engineer, you will • Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients., • Join a world-class team of Quantum experts with an extensive track record in both academia and industry., • Collaborate with the founding team in a fast-paced startup environment., • Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring., • Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle., • Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues., • Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data., • Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize model performance and resource utilization., • Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability., • Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes. Required Qualification • Bachelor's or master's degree in computer science, Engineering, or a related field., • 1+ years of experience as an ML/LLM engineer in public cloud platforms., • Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring., • Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering., • Knowledge in model parallelism in model training and serving, and data parallelism/hyperparameter tuning., • Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM., • Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer., • Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc., • Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre., • Great communication skills and a passion for working collaboratively in an international environment. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

DevOps Engineer A fantastic opportunity for a driven DevOps Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. As a DevOps Engineer, you will • Optimize the performance, scalability, and reliability of our model inference API and other API's, • Implement DevOps strategies for the organization., • Work with development and operations teams to automate software delivery processes., • Identify and implement tools and processes to improve software development and delivery., • Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience., • Help deploy our software stack to Fortune 500 clients’ servers., • Participate in the design of the companies toolbox interface., • Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Required Qualifications • Bachelor’s degree in Computer Engineering, Computer Science, or related field;, • Alternatively, significant work experience as a Software Engineer., • 2-5 years of experience working as a DevOps engineer., • Experience in large-scale, secure, and high availability solutions in the AWS Cloud, using automation to support deployment, scaling, monitoring, and management (Terraform / CloudFormation / SDK, etc.)., • Experience building CI/CD pipelines (i.e., GitLab CI, GH Actions, Jenkins, Gitlab CI/CD)., • Experience with deploying, managing, and optimizing API's in production environments., • Familiarity with containerization technologies such as Docker and Kubernetes., • Proficiency with one or more programming languages (Bash, Python, Go, etc)., • Proven ability to troubleshoot and identify the root cause of infrastructure and security Issues., • Good communication and collaboration skills. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

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