Company Overview
We are a leading global Staff Augmentation and Talent Acquisition firm specializing in HR, Recruitment, and Workforce Solutions. Our team works with enterprise clients across the USA, UK, Europe, CIS, and MENA regions, supporting sectors including BFSI, IT, Retail, Healthcare, Manufacturing, and Government. We are currently hiring on behalf of one of our valued clients based in the United Kingdom, and are looking for resources to be deployed on a remote engagement.
Job Summary
On behalf of our UK-based client in the Retail & E-commerce Technology sector, we are seeking an experienced AI/ML Engineer to design, build, and deploy machine learning and Generative AI solutions that power customer-facing and business-critical applications. This is a remote opportunity, open to contractual engagement models.
Key Responsibilities
● Design, build, and deploy AI/ML models for business applications
● Develop NLP and Generative AI solutions using Large Language Models (LLMs)
● Design, develop, and deploy Retrieval-Augmented Generation (RAG) pipelines and AI agent solutions to enable intelligent, context-aware automation.
● Fine-tune and optimize machine learning models
● Deploy models using Docker, Kubernetes, and cloud platforms
● Create scalable REST APIs for AI services
● Work with data engineers to prepare and validate training datasets
● Monitor, evaluate, and optimize machine learning models in production environments, performing retraining and fine-tuning as needed to ensure consistent performance, accuracy, and scalability.
● Partner closely with product managers, software engineers, and cross-functional teams to design, develop, and deliver AI-powered solutions aligned with business objectives.
● Follow MLOps best practices for end-to-end model lifecycle management
Required Skills
● Strong hands-on experience with Python
● Machine Learning algorithms (Supervised & Unsupervised Learning)
● Deep Learning frameworks: TensorFlow, PyTorch, Keras
● Natural Language Processing (NLP)
● Large Language Models (LLMs) such as OpenAI, Llama, Claude, Gemini
● Prompt Engineering
● Retrieval-Augmented Generation (RAG)
● Vector Databases: Pinecone, FAISS, ChromaDB, Milvus
● LangChain or LlamaIndex
● SQL and NoSQL databases
● REST APIs and FastAPI/Flask
● Git and CI/CD
● AWS, Azure, or Google Cloud
● Docker and Kubernetes
● Data preprocessing and feature engineering
AI Experience
● Proven, hands-on experience building and shipping LLM-powered and Generative AI applications, not just experimenting with them
● Practical experience designing RAG architectures and orchestrating multi-step AI agents
● Experience with prompt engineering and evaluation frameworks to improve model output quality and reliability
● Familiarity with responsible AI, data privacy, and governance considerations when deploying AI in customer-facing retail systems
Managerial Experience
● This is an individual contributor role; candidates should demonstrate the ability to work cross-functionally with data engineers, product managers, and software engineers, and to guide technical decisions within the AI/ML workstream
Operational Experience
● Experience operating models in production, including monitoring, drift detection, and retraining workflows
● Experience with containerized deployments (Docker) and orchestration (Kubernetes) in a cloud environment
● Familiarity with CI/CD pipelines for ML workflows (MLOps)
● Experience maintaining technical documentation for models, pipelines, and APIs
Qualifications
● Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
● 4–7 years of relevant hands-on experience in AI/ML engineering
● Ability to work independently in a remote, distributed team environment
Certifications (Preferred, Not Mandatory)
● AWS/Azure/Google Cloud Machine Learning certification
● Any relevant Generative AI or MLOps certification is a plus
Submit Resume at dp@digitalxnode.com
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