nlp-engineer

Uni Systems is an information and communication technology (ICT) company that specializes in providing innovative IT solutions to various industries. With a focus on digital transformation, Uni Systems offers services in infrastructure and operations, cloud and data center technologies, cybersecurity, enterprise solutions, and big data analytics. The company harnesses the power of emerging technologies and artificial intelligence to drive innovation and transform modern businesses. Uni Systems works closely with sectors such as banking, government, telecommunications, healthcare, and retail to deliver strategic and cutting-edge ICT solutions. Their commitment to sustainability and digital ethics underscores their mission to use technology as a transformative force for business growth and societal improvement.

Uni Systems, a member of Quest Group, has been a reliable ICT partner to companies and organizations in the European market for over 58 years. We are the first IT company founded in Greece, in 1964, and we have been supporting our clients ever since. Trusting customers, extensive solutions offering, strong partnerships and experienced people, those are the main grounds for Uni Systems’ rapid expansion of operations across geographies and industries.

With more than 1100 specialized ICT professionals, established presence in more than 26 countries, and branches and subsidiaries in the heart of the European Union (Athens, Barcelona, Brussels, Bucharest, Luxembourg and Milan), we are effectively addressing the needs of European and International organizations and institutions and delivering value-added integrated solutions to our customers. 
Through our strong industrial vertical expertise, supported by the range of our horizontal solutions, we hold a substantial and successful track record in the delivery and implementation of large-scale, mission-critical projects in the sectors of Banking & Finance, Enterprise & Utilities, Government, and Telecommunications, as well as in EU Institutions and Agencies. 
Participations in real commercial implementations of best practices (i.e. ITIL, RUP, PRINCE2, PMI), has provided our people with significant experience, unique know-how and proven capability in designing, implementing and successfully supporting complex ICT projects, through a range of solutions and business areas.
At Uni Systems, we support innovation, and we have been investing in the European and National research ecosystem. Our Research and Innovation (RDI) department has been successfully bidding and winning a series of research programs in promising technological areas, such as 5G, AI in Health, and Blockchain in Governance.

Enabling our clients' digital transformation journey is our passion and we remain strongly committed to it.

Uni Systems

• Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches.
• Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining related tasks.
• Fine-tune pre-trained models on domain-specific tasks.
• Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies.
• Develop and maintain robust, scalable, and efficient code using Python.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability.
• Participate in peer reviews and contribute to the continuous improvement of AI solutions.
• Contribute to the design and implementation of ML application architecture and its solution stack.
• Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.

AI/NLP Engineer

AI / NLP Engineer designing, implementing, and optimizing advanced AI and ML models at Uni Systems. Collaborating with teams in Brussels for innovative solutions in NLP and AI technologies.

The University of Edinburgh Information Services Group is one of Scotland's largest information technology employers, specialising in a wide variety of IT jobs, EdTech services, and IT solutions. We provide library and digital services to the University of Edinburgh, a world leader in higher education teaching, research and innovation. 

We are committed to outstanding service delivery and continuous improvement, and believe in effective team building and communication. We pride ourselves on setting and maintaining high standards in line with the University’s international reputation across all areas of IT service. 

We offer a wide range of student internships, graduate jobs, entry-level jobs, and directorships, with plenty of opportunities for international collaboration. Members of our extensive team enjoy excellent benefits such as:

- 40 days annual leave (including festive closure days)
- Extensive staff discounts for local shops and festivals
- Use of the university's excellent sports facilities
- A highly competitive pension scheme
- Various staff wellbeing and family-friendly initiatives

Please note, the University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Equality, diversity and inclusion stand at the forefront of all that we do here at the Information Services Group.

Be sure to follow our company page for up-to-date information on all our current job vacancies and latest innovation projects. 

To learn more about the types of library and IT services we offer, please visit our website at http://www.ed.ac.uk/information-services,

University of Edinburgh Information Services Group

• Support the Centre for Doctoral Training (CDT) in Designing Responsible Natural Language Processing (NLP)
• Available from 27th April 2026 until 1st April 2028
• Consider requests for hybrid working that combines a mix of remote and regular on-campus working

CDT Administrator – Designing Responsible Natural Language Processing

CDT Administrator for the School of Informatics at the University of Edinburgh, supporting Natural Language Processing training. Part-time and available until 2028.

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

WEX (NYSE: WEX) is the global commerce platform that simplifies the business of running a business. WEX has created a powerful ecosystem that offers seamlessly embedded, personalized solutions for its customers around the world. Through its rich data and specialized expertise in simplifying benefits, reimagining mobility and paying and getting paid, WEX aims to make it easy for companies to overcome complexity and reach their full potential. For more information, please visit www.wexinc.com.

• Collaborate with partners and stakeholders to understand requirements of AI development teams and key challenges
• Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads
• Design, test, code, and instrument AI/ML platforms/tools
• Develop, evaluate, deploy, and monitor AI/ML models
• Implement Infrastructure as Code (IaC) using tools like Terraform
• Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement
• Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes)
• Develop and maintain CI/CD pipelines for automating deployment and management of AI infrastructure
• Develop and maintain monitoring and alerting systems
• Analyze system performance data to identify bottlenecks and opportunities for improvement
• Measure, inspect, and drive decisions using data
• Mentor and learn from peers, foster continuous learning of new cloud technologies and best practices
• Independently complete work and proactively seek reviews from Senior Engineers and Leaders on your work

Mid-Level AI/ML/NLP Engineer

AI Engineer building and maintaining cloud infrastructure to support AI ML workloads at WEX. Collaborating with stakeholders to develop innovative AI platforms and solutions.

Digital Loop GmbH is a partner in marketing technologies and data-driven growth, providing comprehensive IT and marketing solutions tailored to meet the evolving challenges of the online environment. They specialize in digital analytics, SEO consulting, growth hacking consulting, and custom software solutions and have successfully completed over 100 projects for more than 30 clients across various industries. With expertise in martech and a commitment to helping businesses in their digital transformation, Digital Loop aims to enhance online visibility and operational efficiency through innovative technology and strategic guidance.

Als rte Workflows, die Einführung eines Tools oder einer Architektur, die Implementierung eines benutzerdefinierten

Digital Loop GmbH

• Assist in creating agent workflows and their components (prompting, RAG pipelines, etc.).
• Extract and prepare content elements from documents, e.g., product data, internal guidelines, etc.
• Perform quality assurance and continuous optimization of agents, prompts, and workflows.
• Facilitate knowledge transfer to other teams through presentations, best-practice guidelines, etc.

Working Student – Computational Linguistics Internship

Working student supporting agent workflow creation and optimization in computational linguistics for Digital Loop GmbH. Engaging in knowledge transfer and collaborating across teams for marketing tech solutions.

Hybrid NLP Engineers Jobs

Browse 4 hybrid nlp engineers roles plus related opportunities such as llm engineer, computer vision engineer, ai engineer, ai research scientist and machine learning engineer.

4 jobs found