AI / ML Architect (IT)
AI / ML Architect 6 Month contract initially Based: Mostly remote with, with 2 days onsite p/w in London, Flexible. Rate: £525 - £550 p/d - (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for AI / ML Architect's to join the team. An AI/ML Developer is responsible for designing, building, and deploying machine learning models and AI solutions that solve business problems. This role focuses on coding, data preparation, and integrating models into production systems. Key Responsibilities: Model Development
- Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications.
- Experiment with algorithms and optimize hyperparameters for performance.
- Collect, clean, and preprocess large datasets for training and validation.
- Implement feature engineering and data augmentation techniques.
- Develop APIs or services to integrate ML models into production systems.
- Work with MLOps tools for model deployment, versioning, and monitoring.
- Evaluate models using metrics like accuracy, precision, recall, F1-score.
- Optimize models for scalability, latency, and resource efficiency.
- Work closely with data scientists, software engineers, and product teams to translate business requirements into ML solutions.
- Document workflows and maintain reproducibility.
- Stay updated with the latest AI/ML frameworks, libraries, and research.
- Experiment with emerging technologies like deep learning, reinforcement learning, and generative AI.
- Ensure data privacy, security, and adherence to ethical AI practices.
- Implement bias detection and mitigation strategies.
- 10+ years of experience in software engineering, with 5+ years in AI/ML.
- Expert in Python, PyTorch, TensorFlow, and NLP frameworks.
- Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face.
- Strong foundation in algorithms, model evaluation, and ML workflows
- Deep understanding of BFSI processes: risk management, regulatory compliance, AML/KYC.
- Strong knowledge of cloud platforms, containerization (Docker/Kubernetes), and secure coding practices.
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