Senior AI/ML Architect for Scalable Production Systems

Hackajob Ltd; Greater London; On-site; GBP 61,000 - 101,000; Full time

Job summary

Hackajob Ltd is seeking a Senior AI/ML Computational Scientist to deliver production-ready AI and ML solutions for enterprise clients across the solution lifecycle. You will formulate problems, build scalable models, and develop data pipelines with DevOps/MLOps for cloud environments and edge devices where applicable.

You will collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders while contributing to innovation and delivering measurable

Qualifications

• Bachelors degree or equivalent required.
• Significant experience deploying ML models at scale in production.
• Strong CS foundations and systems engineering background.
• Experience with cloud environments and AI/ML tooling.
• Experience with LLM APIs and generative AI is a plus.
• Excellent communication and client-facing skills are preferred.
• MSc/PhD in CS/Engineering preferred.

Responsibilities

• Formulate real-world problems into scalable AI solutions.
• Develop and implement ML algorithms and systems.
• Design scalable data pipelines for training and production with DevOps/MLOps.
• Apply deep learning and generative AI models to business needs.
• Research HPC algorithms and simulations for client problems.
• Work with large datasets and perform data preprocessing for training.

Skills

ML deployment

Distributed computing

DevOps

MLOps

LLMOps

Data preprocessing

Model evaluation

Communication

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS/Engineering (preferred)

Tools

Python

C++

Java

R

SQL

PyTorch

TensorFlow

Job description

Hackajob Ltd is seeking a Senior AI/ML Computational Scientist to deliver production-ready AI and ML solutions for enterprise clients across the solution lifecycle. You will formulate problems, build scalable models, and develop data pipelines with DevOps/MLOps for cloud environments and edge devices where applicable.

You will collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders while contributing to innovation and delivering measurable