Senior Generative AI / AI & ML Engineer

Senior Generative AI / AI & ML Engineer

Posted 6 days ago by N Consulting Global

Negotiable
Undetermined
Hybrid
Bromley, England, United Kingdom

Summary: The Senior Generative AI / AI & ML Engineer role involves designing, developing, and deploying advanced AI solutions, particularly focusing on Large Language Models and Generative AI. This position requires a blend of hands-on engineering and consulting expertise, working with clients in the Banking and Finance sectors to address complex challenges. The role is hybrid, requiring three days in the office, and spans a contract duration of 8 to 12 months.

Key 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

Key Skills:

  • 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
  • API Gateway development and deployment on Azure/GCP (preferred)
  • Hands-on experience with vector databases and RAG pipelines (preferred)
  • Familiarity with CI/CD, DevOps, and automation in AI/ML (preferred)
  • Domain expertise in Banking, Finance, or Capital Markets (preferred)
  • High initiative, flexibility, and customer orientation
  • Strong quality awareness
  • Excellent verbal and written communication

Salary (Rate): undetermined

City: Bromley

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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

Why Join Us

  • Work on cutting-edge AI technologies and LLM solutions
  • Opportunity to shape AI consulting solutions for high-impact clients
  • Collaborate with a highly skilled AI team in a hybrid work model
  • Exposure to cloud AI/ML services, agentic AI, and Generative AI deployment