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Job Title


AI/ML Engineer


Company : Idyllic Services


Location : Colchester, England


Created : 2026-02-23


Job Type : Full Time


Job Description

Job Title: AI/ML Engineer – Data ScienceLocation: United Kingdom (Remote / Hybrid)Eligibility: Permanent UK Citizenship requiredExperience: 5–7 years (Mandatory in Data Science / AI-ML)Role OverviewWe are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments.Key Responsibilities- Design, build, and optimize machine learning and deep learning models for real-world applications.- Develop and deploy AI/ML solutions using modern Python-based frameworks.- Implement NLP models and solutions for structured and unstructured data.- Build and maintain production-ready ML pipelines, ensuring scalability and reliability.- Collaborate with cross-functional teams including engineering, product, and data teams.- Ensure proper model governance, versioning, and CI/CD practices for ML workflows.Required Skills & ExperienceData Science & Deep Learning- Strong hands-on experience in Deep Learning using PyTorch or TensorFlow.Programming & Frameworks- Proficiency in Python.- Experience with web/API frameworks such as Django, Flask, or FastAPI.AI & NLP- Practical experience in Artificial Intelligence and Natural Language Processing (NLP).Cloud Platforms- Hands-on experience with AWS or Azure environments.MLOps & DeploymentExperience in:- Model deployment and productionization- Model governance and lifecycle management- Version control tools such as Git- CI/CD pipelines for ML workflowsWork Environment- Prior experience working in a startup or high-growth environment is mandatory.Eligibility Criteria- Permanent UK Citizenship (mandatory).- 5–7 years of relevant experience specifically in Data Science and AI/ML Engineering.Preferred Attributes- Strong problem-solving and analytical thinking.- Ability to work independently in a remote or hybrid setup.- Effective communication and collaboration skills.