Senior ML Engineer - Production AI & MLOps

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

Job summary

HSBC is seeking a Senior Machine Learning Scientist via Hackajob to design, deploy, and operate secure AI services at scale. You will own production ML/GenAI pipelines, implement observability, and collaborate with data scientists, engineers, and governance teams to ensure compliant, reliable delivery.

You will work with modern Python ML ecosystems (PyTorch, TensorFlow) and containerized infra (Docker, Kubernetes), building reusable assets and robust CI/CD for ML.

Qualifications

• End-to-end production services ownership with run/support responsibilities.
• Proficiency in Python and modern engineering practices (clean code, testing, packaging, dependency management, Git workflows).
• Hands-on AI deployment patterns and infrastructure (Docker, Kubernetes, API-based serving, batch/stream inference).
• Strong MLOps experience: CI/CD for ML, packaging, release management, automated validation, monitoring, lifecycle management.
• Experience with ML/DL frameworks (PyTorch, TensorFlow) and Python ecosystem for collaboration with data scientists.
• Experience with complex, multi-layered datasets including imbalanced data; data pipelines integration into AI services.
• Building and deploying web APIs using Flask or FastAPI.
• Proficiency with SQL Server or PostgreSQL.
• Strong stakeholder communication; explain technical designs, risks, and operations.
• Good organizational skills and delivery discipline across multiple initiatives.
• Masters preferred; degree in a relevant field.
• Model explainability tools (e.g., SHAP) where governance requires.

Responsibilities

• Design, build, deploy, and operate production-grade AI services (ML/GenAI) that are secure and scalable.
• Operationalise PoC/PoV into hardened solutions with defined non-functional requirements and ownership.
• Develop and maintain MLOps/LLMOps pipelines including CI/CD, testing, packaging, promotion and rollback.
• Create reusable assets (libraries, templates, reference architectures, IaC) to reduce technical debt.
• Implement observability: logging, metrics, tracing, model performance monitoring, drift checks, actionable alerts.
• Partner with data scientists, engineers, and governance stakeholders to meet control and documentation needs.
• Translate business requirements into technical designs and communicate trade-offs clearly.
• Contribute to engineering standards and uplift team capability through coaching.

Skills

Python

ML/DL frameworks

MLOps

Docker

Kubernetes

FastAPI/Flask

Git workflows

Data pipelines

Education

Master's degree

Bachelor's degree

Tools

Docker

Kubernetes

FastAPI

Flask

PyTorch

TensorFlow

SQL/PostgreSQL/SQL Server

Job description

HSBC is seeking a Senior Machine Learning Scientist via Hackajob to design, deploy, and operate secure AI services at scale. You will own production ML/GenAI pipelines, implement observability, and collaborate with data scientists, engineers, and governance teams to ensure compliant, reliable delivery.

You will work with modern Python ML ecosystems (PyTorch, TensorFlow) and containerized infra (Docker, Kubernetes), building reusable assets and robust CI/CD for ML.