Job Details Role / Job Title: AI / ML Architect Work Location: London Mode of Working: Hybrid
Office Attendance (Hybrid): 2 days from office Number of Positions: 4 The Role 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. Your Responsibilities (Up to 10) 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.
Data Preparation Collect, clean, and preprocess large datasets for training and validation.
Implement feature engineering and data augmentation techniques.
Integration & Deployment Develop APIs or services to integrate ML models into production systems.
Work with MLOps tools for model deployment, versioning, and monitoring.
Performance Optimization Evaluate models using metrics like accuracy, precision, recall, F1-score.
Optimize models for scalability, latency, and resource efficiency.
Collaboration Work closely with data scientists, software engineers, and product teams to translate business requirements into ML solutions.
Document workflows and maintain reproducibility.
Research & Innovation Stay updated with the latest AI/ML frameworks, libraries, and research.
Experiment with emerging technologies like deep learning, reinforcement learning, and generative AI.
Compliance & Ethics Ensure data privacy, security, and adherence to ethical AI practices.
Implement bias detection and mitigation strategies.
Your Profile Essential Skills / Knowledge / Experience (Up to 10) 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.
Desirable Skills / Knowledge / Experience 10+ years of experience in software engineering with 5+ years in AI/ML.
Ability to align AI solutions with long-term business objectives.
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