Job Title: Senior Generative AI / AI & ML Engineer
Location: Bromley, UK (Hybrid – 3 days in office)
Contract Duration: 8–12 months
About the Role
We are seeking a Senior AI/ML & Generative AI Engineer to design, develop, and deploy cutting-edge AI solutions. This role combines hands-on AI engineering with consulting expertise, focusing on Large Language Models (LLMs), Generative AI, and agentic AI architectures.
You will work with clients in Banking, Finance, and Capital Markets to solve complex business challenges, build scalable AI solutions, and deploy them on modern cloud platforms (AWS, Azure ML, GCP AI Services).
Responsibilities
Develop scalable AI/ML solutions in Python using OOPs concepts and advanced data structures
Implement Generative AI models, LLMs, and agentic AI frameworks
Deploy AI models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines
Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines
Collaborate with stakeholders to define problem statements and solution approaches
Lead teams on project delivery and ensure high-quality, best-practice implementations
Act as a thought leader, advising on architecture and solution design
Required Skills & Experience
Minimum 7 years IT experience
At least 2 years in Generative AI / Agentic AI
Minimum 5 years in ML/Data Science and Python programming (OOPs, data structures, APIs)
Experience with Big Data technologies (Hadoop, Spark, etc.)
Experience with cloud AI/ML services (AWS, Azure ML, GCP)
MLOps / AI deployment experience
Strong analytical, problem-solving, and communication skills
Preferred Skills
API Gateway development and deployment on Azure/GCP
Hands-on experience with vector databases and RAG pipelines
Familiarity with CI/CD, DevOps, and automation in AI/ML
Domain expertise in Banking, Finance, or Capital Markets
Personal Attributes
High initiative, flexibility, and customer orientation
Strong quality awareness
Excellent verbal and written communication