Senior ML & AI Engineer — Production AI & MLOps Leader

VOIS; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

VOIS is seeking a Senior ML & AI Engineer to join its Digital Engineering, Digital & IT team in the UK, spanning Newbury and Paddington. You will own the engineering lifecycle for production ML/AI services, from deployment to observability, in collaboration with data science and data engineering teams.

The role emphasizes MLOps, LLMOps, safety, privacy, explainability, and cost-aware design, with opportunities to influence model serving architectures, tooling choices, and build-versus-buy

Qualifications

• Substantial practical experience in software, platform or ML Engineering.
• Strong Python and software-engineering capability across APIs, automated testing, containers and continuous delivery.
• Experience with Vertex AI or equivalent managed ML platforms and model-serving services.
• Practical experience implementing MLOps, including model registries, versioning, deployment, rollback and monitoring.
• Knowledge of responsible AI engineering, including privacy, security, human oversight, explainability, safety and model-risk controls.

Responsibilities

• Design and productionise production machine-learning, generative-AI and agent-based services, including inference, feature processing, serving and integration.
• Productionise validated ML/AI solutions using platform capabilities and establish robust CI/CD pipelines.
• Establish MLOps and LLMOps practices covering versioning, testing, automated evaluation, deployment, rollback and monitoring.
• Own production monitoring, guardrails, runbooks, incident response and audit evidence for production AI services.
• Collaborate with Data Scientists and Data Engineers to translate validated approaches into reliable production services.

Skills

Python

APIs

Containers

MLOps

LLMOps

Vertex AI

Security

Explainability

Observability

Tools

Vertex AI

Job description

VOIS is seeking a Senior ML & AI Engineer to join its Digital Engineering, Digital & IT team in the UK, spanning Newbury and Paddington. You will own the engineering lifecycle for production ML/AI services, from deployment to observability, in collaboration with data science and data engineering teams.

The role emphasizes MLOps, LLMOps, safety, privacy, explainability, and cost-aware design, with opportunities to influence model serving architectures, tooling choices, and build-versus-buy