ML/AI Engineer
Manchester Westminster House, United Kingdom
GBP 70K-85K Senior-level Full Time
Tasks
- Build CI CD pipelines in Harness for model deployment
- Build and operate Kubernetes clusters for model inference
- Configure autoscaling and resource quotas for GPU CPU workloads
- Deploy and tune GPU backed inference services
- Enable progressive delivery and rollback strategies
- Ensure audit readiness with model cards and provenance
- Implement GitOps workflows for environment configuration
- Implement observability for model and pipeline metrics
- Operate MLflow model registry
- Optimize CUDA environments and use TensorRT
- Set up alerting and incident runbooks
- Standardize continuous training and continuous monitoring pipelines
- Track experiments version and lineage with MLflow
Perks/Benefits
- Annual bonus
- Discounted shopping
- Flexible working
- Hybrid working
- Job share
- Paid time off
- Parental leave
- Pension contribution
- Share schemes
- Wellbeing initiatives
Skills/Tech-stack
Autoscaling | Blue/green | CI/CD | CUDA | Canary | Docker | Dynatrace | GPU scheduling | Git | GitOps | Grafana | Harness | Helm | Kubernetes | Learning operations | MLflow | Machine Learning | Machine Learning Operations | NVIDIA Triton | Observability | Progressive Delivery | Prometheus | Python | TensorRT | Torchserve
Education
N/A
Roles
AI | AI Engineer | Engineer | ML Engineer
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