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
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