Location: Remote (United Kingdom)
Employment Type: Full-time, Permanent
Experience: 0 15 Years
Eligibility: Must have the right to work in the UK (No visa sponsorship available)
We are seeking a passionate and technically strong AI Engineer to design, build, deploy, and maintain AI-powered solutions. This is a fully remote role within the UK , offering opportunities to work on real-world problems using machine learning, deep learning, and generative AI technologies. Responsibilities and scope will vary based on experience level.
Key ResponsibilitiesDesign, develop, and deploy machine learning and AI models for production use
Build scalable data pipelines and feature engineering workflows
Train, fine-tune, and evaluate ML and deep learning models
Deploy and serve models via APIs and cloud-based infrastructure
Monitor model performance, data quality, and model drift
Work with large, structured and unstructured datasets
Collaborate with product managers, data scientists, and software engineers
Implement best practices for MLOps, CI/CD, and version control
Ensure AI solutions align with security, privacy, and ethical standards
Document models, workflows, and system architectures
Strong programming skills in Python
Solid understanding of machine learning algorithms and evaluation techniques
Experience with deep learning frameworks (PyTorch, TensorFlow, or Keras)
Proficiency in data processing and analysis (NumPy, Pandas)
Experience building and consuming REST APIs
Familiarity with cloud platforms (AWS, Azure, or GCP)
Knowledge of Git and collaborative development workflows
Understanding of data structures, algorithms, and software engineering principles
Experience with Generative AI and LLMs (prompt engineering, fine-tuning, RAG)
NLP or Computer Vision experience
MLOps tools such as MLflow, Kubeflow, Airflow
Containerisation using Docker and orchestration with Kubernetes
Experience with vector databases (FAISS, Pinecone, Weaviate)
Knowledge of responsible AI , explainability, and bias mitigation
Experience with big data tools (Spark, Kafka)
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