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AI/NLP/Data Engineer

Jobgether

AI/NLP/Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/NLP/Data Engineer based in United Kingdom.

This role offers the opportunity to build advanced AI and natural language processing solutions that transform digital customer experiences. You will design, develop, and optimize machine learning models, data pipelines, and intelligent automation systems that support real-world business applications. Working at the intersection of AI research and production engineering, you will help create scalable solutions using modern technologies and cloud infrastructure. The position combines technical innovation, experimentation, and hands-on development to bring AI capabilities from concept to deployment. You will collaborate with engineering teams to improve model performance, build reliable AI platforms, and solve complex data challenges. This is an exciting opportunity for an AI-focused engineer passionate about creating practical, impactful machine learning solutions in a fast-growing environment.

Accountabilities
  • Build, improve, and deploy NLP, generative AI, and machine learning models that support intelligent digital engagement solutions.
  • Develop scalable infrastructure for AI modeling, experimentation, training, deployment, monitoring, and continuous improvement.
  • Design and maintain data processing pipelines, AI trainer tools, and workflows that enable efficient model development.
  • Research, prototype, and implement algorithmic improvements to enhance model accuracy, performance, and scalability.
  • Develop machine intelligence solutions tailored to customer needs and industry-specific use cases.
  • Monitor, debug, and optimize AI models running in production environments.
  • Collaborate with platform and engineering teams to create tools and capabilities that accelerate AI development and deployment.
  • Contribute to technical documentation, knowledge sharing, and internal training initiatives related to AI and machine learning.
  • Make thoughtful technology decisions that balance innovation, scalability, and business impact.
Requirements
  • 3+ years of experience in AI, machine learning, NLP, data engineering, or related technical fields.
  • Master's degree or equivalent experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Science, or a related discipline.
  • Proven experience building production-quality AI systems involving generative AI, NLP, speech processing, deep learning, or similar technologies.
  • Strong software engineering skills with experience developing reliable, scalable applications.
  • Experience designing and deploying machine learning models with limited training data.
  • Strong understanding of AI/ML development workflows, experimentation frameworks, and model deployment practices.
  • Ability to quickly learn new technologies, research emerging techniques, and turn ideas into production-ready solutions.
  • Experience working with Python and machine learning frameworks such as PyTorch.
  • Familiarity with cloud environments such as AWS or Google Cloud Platform.
  • Experience with technologies such as Linux, Airflow, Docker, or Node.js is a plus.
  • Strong communication skills with the ability to collaborate effectively in a dynamic, cross-functional environment.
  • Passion for improving AI systems and building robust, scalable machine learning solutions.
Benefits
  • Competitive salary package with equity opportunities.
  • Comprehensive medical, dental, and vision benefits.
  • Unlimited paid time off policy.
  • Fully remote work-from-home opportunity.
  • Access to modern development tools, hardware, and collaboration platforms.
  • Opportunity to work with cutting-edge AI, NLP, and machine learning technologies.
  • Collaborative team environment focused on innovation and continuous learning.
  • Opportunity to make a significant impact by developing practical AI solutions at scale.
Vacancy posted 8 hours ago
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