5 hours ago
London, United KingdomSenior
Responsibilities
- Design and implement SageMaker MLOps workflows covering training, orchestration, feature management, model registration, experiment tracking, deployment, monitoring, and retraining.
- Standardise model promotion across development, test, pre-production, and production environments with versioning, automated testing, release governance, rollback, and quality controls.
- Implement security-by-design for SageMaker workloads using least-privilege IAM roles and VPC-attached resources.
- Build monitoring, drift detection, evaluation, alerting, dashboards, and automated responses such as retraining and controlled redeployment.
- Partner with data scientists to productionise notebooks and experiments into managed pipelines and define monitoring thresholds, baselines, and acceptance criteria.
- Build scalable inference solutions using SageMaker real-time and serverless endpoints.
- Define documentation, change-management, governance, and reliability standards for ML platforms.
Requirements
- Strong hands-on experience with MLOps practices, including CI/CD, code/data/model versioning, release governance, and production monitoring.
- Strong AWS experience, particularly with Amazon SageMaker deployment, monitoring, and drift or quality monitoring.
- Experience designing observability for serverless systems using logs, metrics, traces, distributed tracing, dashboards, open standards, and AWS tooling.
- Experience with Docker containerisation and familiarity with custom SageMaker containers.
- Familiarity with monitoring, alerting, and incident response for ML platforms.
- Experience with infrastructure as code using Terraform, CloudFormation, or CDK.
- Experience or knowledge of AWS services including S3, ECR, IAM, Lambda, Step Functions, Glue, and VPC networking.
- Awareness of data privacy, model governance, responsible AI, cost optimisation, data governance, lineage, and model explainability.
- Strong verbal, written, and interpersonal communication skills.
- At least one AWS certification is desirable, such as DevOps Engineer Professional, Machine Learning Engineer – Associate, or AI Practitioner for GenAI fundamentals.
Benefits
- Hybrid working arrangement with three days per week in the office and two days from home.
- 10% on-target annual bonus.
- 24/7 online private GP access for the employee and immediate family.
- Up to two weeks of paid carers leave.
- 18 weeks of full-pay and 8 weeks of half-pay maternity, paternity, and adoption leave.
- Discounted EE and BT mobile and broadband products.
- Pension scheme with 5% employee contributions and 10% employer contributions.
- Holiday purchase scheme and optional healthcare, dental, gym memberships, and other benefits.
Categories
About BT
BT Group builds and operates telecom networks and digital services for consumers, enterprises, and public‑sector clients, selling broadband, fixed-line voice, mobile (via EE), and managed network, cloud, and cyber security services. It is headquartered in London and listed on the London Stock Exchange, with American depositary shares on the NYSE. BT also owns Openreach, which manages the UK’s fibre and copper access network used by multiple retail providers.