AI/ML Architect
Posted Today by Infoplus Technologies UK Limited
Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: The AI/ML Architect role involves designing, building, and deploying machine learning models and AI solutions to address business challenges. The position requires extensive experience in software engineering and AI/ML, focusing on model development, data preparation, integration, and performance optimization. Collaboration with cross-functional teams and adherence to ethical AI practices are also key components of the role. This is a hybrid position based in London, requiring two days a week in the office.
Key Responsibilities:
- Design, build, and train machine learning models for various AI applications.
- Collect, clean, and preprocess large datasets for training and validation.
- Develop APIs or services to integrate ML models into production systems.
- Evaluate models using performance metrics and optimize for scalability and efficiency.
- Collaborate with data scientists, software engineers, and product teams.
- Stay updated with the latest AI/ML frameworks and technologies.
- Ensure data privacy and adherence to ethical AI practices.
Key Skills:
- 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.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Tittle: AI/ML Architect
Mode of working: Hybrid 2 days/week from office
Location: London
Type: InsideIR35 Contract 6 months
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:
- 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:
- 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.