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Salario inicial 22K-24K bruto (rango salarial de 40K-50K y vehiculo de empresa como Branch Manager en un plazo aproximado de 2 años dentro del plan de carrera). Desarrollar relaciones comerciales con concesionarios, talleres de reparación y otros negocios locales. Preferiblemente experiencia en at

Si lo tuyo es el mundo IT, te gusta estar al día en las últimas tecnologías y quieres asumir un nuevo reto profesional ¡Sigue leyendo, te estamos buscando!! &##Desde nuestra área de Enterprise Effciency buscamos reforzar el equipo de Business Central Zaragoza con un perfil desarrollador-consu

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. Relocation package (if applicable). Fixed-term contract ending in June 2026. Hybrid role and flexible working hours. We are seeking a highly motivated Pre-Sales Engineer to join our team. The ideal candidate will bridge technical expertise with strong communication skills, supporting the sales process by designing solutions, delivering demos, and advising customers on technical requirements. Collaborate with sales, product and engineering team teams to understand customer requirements and propose tailored technical solutions. Work with product and engineering teams to align customer needs with product capabilities. Stay up to date with emerging technologies in AI, machine learning, and cloud infrastructure. Traveling: Must be available to travel as needed for meetings, conferences, and project requirements. Junior: 1-2 years of experience in software engineering with focus on machine learning and data science. Mid: 2+ years of experience in software engineering with focus on machine learning and data science. Strong background in AI/ML, data science, or computer engineering, with hands-on experience in machine learning models (e.g., Proficiency in Python, with exposure to ML frameworks such as PyTorch or TensorFlow. Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). Experience in computer vision or NLP projects. Prior exposure to healthcare, finance, or enterprise data systems. Contributions to research papers, hackathons, or open-source projects. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. Relocation package (if applicable). Fixed-term contract ending in June 2026. Hybrid role and flexible working hours. We are seeking a highly motivated Pre-Sales Engineer to join our team. The ideal candidate will bridge technical expertise with strong communication skills, supporting the sales process by designing solutions, delivering demos, and advising customers on technical requirements. Collaborate with sales, product and engineering team teams to understand customer requirements and propose tailored technical solutions. Work with product and engineering teams to align customer needs with product capabilities. Stay up to date with emerging technologies in AI, machine learning, and cloud infrastructure. Traveling: Must be available to travel as needed for meetings, conferences, and project requirements. Junior: 1-2 years of experience in software engineering with focus on machine learning and data science. Mid: 2+ years of experience in software engineering with focus on machine learning and data science. Strong background in AI/ML, data science, or computer engineering, with hands-on experience in machine learning models (e.g., Proficiency in Python, with exposure to ML frameworks such as PyTorch or TensorFlow. Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). Experience in computer vision or NLP projects. Prior exposure to healthcare, finance, or enterprise data systems. Contributions to research papers, hackathons, or open-source projects. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Working at The Adaptavist Group The Adaptavist Group is a global family of companies with a common goal.We combine the best of teamwork, technology, and processes, helping all kinds of businesses be better today and tomorrow.We are experts at delivering enterprise software, tailored solutions, and

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. Relocation package (if applicable). Fixed-term contract ending in June 2026. Hybrid role and flexible working hours. We are seeking a highly motivated Pre-Sales Engineer to join our team. The ideal candidate will bridge technical expertise with strong communication skills, supporting the sales process by designing solutions, delivering demos, and advising customers on technical requirements. Collaborate with sales, product and engineering team teams to understand customer requirements and propose tailored technical solutions. Work with product and engineering teams to align customer needs with product capabilities. Stay up to date with emerging technologies in AI, machine learning, and cloud infrastructure. Traveling: Must be available to travel as needed for meetings, conferences, and project requirements. Junior: 1-2 years of experience in software engineering with focus on machine learning and data science. Mid: 2+ years of experience in software engineering with focus on machine learning and data science. Strong background in AI/ML, data science, or computer engineering, with hands-on experience in machine learning models (e.g., Proficiency in Python, with exposure to ML frameworks such as PyTorch or TensorFlow. Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). Experience in computer vision or NLP projects. Prior exposure to healthcare, finance, or enterprise data systems. Contributions to research papers, hackathons, or open-source projects. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

AI Systems Engineer | LLMs & Generative AI | €55k-€75k p/a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning & Data Science Hybrid home working, 3 days a week in office, 2 days a week WFH Contract: Fixed term short contract only until project end in June 2026 Visa Sponsorship: Yes, available We are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real-world system deployment and high-performance operational engineering. You will join a rapidly growing deep-tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond. These roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale. Depending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability. You will be hands-on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI-driven systems in production environments. Deploying AI and machine-learning models into production (edge devices or cloud environments). Maintaining and improving pipelines for data processing, training, inference and ongoing model updates. Investigating and resolving system behaviour issues, performance bottlenecks and integration challenges. Running validation and quality-assurance workflows to ensure models and systems meet reliability standards. Ensuring consistent performance across distributed systems, GPUs, embedded devices and cloud services. Collaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments. Software engineering or backend development Machine learning engineering or model deployment Data Science LLM Engineering Data and pipeline engineering Cloud engineering (AWS, Azure, or similar) QA, validation, testing or technical support Distributed systems and high-performance computing Python and/or Linux-based development, containerisation or automation tools If you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact.

AI Systems Engineer | LLMs & Generative AI | €55k-€75k p/a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning & Data Science Hybrid home working, 3 days a week in office, 2 days a week WFH Contract: Fixed term short contract only until project end in June 2026 Visa Sponsorship: Yes, available We are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real-world system deployment and high-performance operational engineering. You will join a rapidly growing deep-tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond. These roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale. Depending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability. You will be hands-on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI-driven systems in production environments. Deploying AI and machine-learning models into production (edge devices or cloud environments). Maintaining and improving pipelines for data processing, training, inference and ongoing model updates. Investigating and resolving system behaviour issues, performance bottlenecks and integration challenges. Running validation and quality-assurance workflows to ensure models and systems meet reliability standards. Ensuring consistent performance across distributed systems, GPUs, embedded devices and cloud services. Collaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments. Software engineering or backend development Machine learning engineering or model deployment Data Science LLM Engineering Data and pipeline engineering Cloud engineering (AWS, Azure, or similar) QA, validation, testing or technical support Distributed systems and high-performance computing Python and/or Linux-based development, containerisation or automation tools If you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact.

AI Systems Engineer | LLMs & Generative AI | €55k-€75k p/a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning & Data Science Hybrid home working, 3 days a week in office, 2 days a week WFH Contract: Fixed term short contract only until project end in June 2026 Visa Sponsorship: Yes, available We are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real-world system deployment and high-performance operational engineering. You will join a rapidly growing deep-tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond. These roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale. Depending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability. You will be hands-on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI-driven systems in production environments. Deploying AI and machine-learning models into production (edge devices or cloud environments). Maintaining and improving pipelines for data processing, training, inference and ongoing model updates. Investigating and resolving system behaviour issues, performance bottlenecks and integration challenges. Running validation and quality-assurance workflows to ensure models and systems meet reliability standards. Ensuring consistent performance across distributed systems, GPUs, embedded devices and cloud services. Collaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments. Software engineering or backend development Machine learning engineering or model deployment Data Science LLM Engineering Data and pipeline engineering Cloud engineering (AWS, Azure, or similar) QA, validation, testing or technical support Distributed systems and high-performance computing Python and/or Linux-based development, containerisation or automation tools If you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact.

AI Systems Engineer | LLMs & Generative AI | €55k-€75k p/a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning & Data Science Hybrid home working, 3 days a week in office, 2 days a week WFH Contract: Fixed term short contract only until project end in June 2026 Visa Sponsorship: Yes, available We are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real-world system deployment and high-performance operational engineering. You will join a rapidly growing deep-tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond. These roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale. Depending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability. You will be hands-on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI-driven systems in production environments. Deploying AI and machine-learning models into production (edge devices or cloud environments). Maintaining and improving pipelines for data processing, training, inference and ongoing model updates. Investigating and resolving system behaviour issues, performance bottlenecks and integration challenges. Running validation and quality-assurance workflows to ensure models and systems meet reliability standards. Ensuring consistent performance across distributed systems, GPUs, embedded devices and cloud services. Collaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments. Software engineering or backend development Machine learning engineering or model deployment Data Science LLM Engineering Data and pipeline engineering Cloud engineering (AWS, Azure, or similar) QA, validation, testing or technical support Distributed systems and high-performance computing Python and/or Linux-based development, containerisation or automation tools If you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact.

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. Relocation package (if applicable). Fixed-term contract ending in June 2026. Hybrid role and flexible working hours. We are seeking a highly motivated Pre-Sales Engineer to join our team. The ideal candidate will bridge technical expertise with strong communication skills, supporting the sales process by designing solutions, delivering demos, and advising customers on technical requirements. Collaborate with sales, product and engineering team teams to understand customer requirements and propose tailored technical solutions. Work with product and engineering teams to align customer needs with product capabilities. Stay up to date with emerging technologies in AI, machine learning, and cloud infrastructure. Traveling: Must be available to travel as needed for meetings, conferences, and project requirements. Junior: 1-2 years of experience in software engineering with focus on machine learning and data science. Mid: 2+ years of experience in software engineering with focus on machine learning and data science. Strong background in AI/ML, data science, or computer engineering, with hands-on experience in machine learning models (e.g., Proficiency in Python, with exposure to ML frameworks such as PyTorch or TensorFlow. Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). Experience in computer vision or NLP projects. Prior exposure to healthcare, finance, or enterprise data systems. Contributions to research papers, hackathons, or open-source projects. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

We’re looking for a fierce Enterprise Sales Executive to take Revolut’s latest offerings to businesses and relentlessly focus on acquisitions of key enterprise accounts, while developing Revolut’s commercial footprint in the EU market. Building a solid network of enterprise customers and openi

Location: Spain, Portugal or Poland.Role: Senior Data & Cloud Architect.Education: University degree in Technology (preferably Computer Science).This role is critical in designing and overseeing the implementation of IT solutions that address complex business needs.You’ll work closely with cross-f

Trusted by global enterprises with multi-million contracts, we’re scaling our go-to-market team and looking for a high-performing Sales Development Representative (SDR) to fuel our growth engine. A high-impact role: your work will directly shape the pipeline behind multi-million ARR enterprise dea

As our Enterprise Account Manager, you will be the strategic owner for Elife's key enterprise accounts. A proven track record of managing and growing high-value, complex B2B enterprise accounts. We empower enterprise clients and travel partners with a seamless, multi-modal platform that connects the

Integración en un equipo experto en Enterprise Architecture y Transformación Digital.

We’re looking for a fierce Enterprise Sales Executive to take Revolut’s latest offerings to businesses and relentlessly focus on acquisitions of key enterprise accounts, while developing Revolut’s commercial footprint in the EU market. Building a solid network of enterprise customers and openi

Integración en un equipo experto en Enterprise Architecture y Transformación Digital.

Location: Spain, Portugal or Poland.

Trusted by global enterprises with multi-million contracts, we’re scaling our go-to-market team and looking for a high-performing Sales Development Representative (SDR) to fuel our growth engine. A high-impact role: your work will directly shape the pipeline behind multi-million ARR enterprise dea

Arquitecto empresarial requerido para liderar la visión, estrategia y gobierno técnico del ecosistema TI, trabajando de forma remota.

Acquire enterprise accounts and generate revenue for Revolut Business in the EU market.

Manages key enterprise accounts, driving revenue growth, and expanding service adoption, building relationships with B2B clients.

Build and automate the features and services that model complex business problems, power enterprise-scale systems and drive innovative user experiences.