2 of 2 Contract Machine Learning Jobs in West London

is perfect for someone who thrives at the intersection of MLOps, Kubernetes, and cloud infrastructure, with a hands-on approach to solving complex challenges. You will work closely with ML engineers and product teams to align infrastructure with evolving project needs, research and implement cutting-edge MLOps practices, and mentor colleagues by sharing expertise in cloud operations and ML engineering … expertise rather than just deploying services on managed platforms. Key Skills MLOps & Kubernetes: GPU-enabled cluster management, built from scratch using kubeadm and Helm. Programming : Python or Go for ML automation workflows. Containerization : Docker and containerized application deployment. Cloud : AWS experience supporting ML workloads. CI/CD & Automation : ArgoCD, GitHub Actions, Infrastructure-as-Code (Terraform). Monitoring & Observability : Prometheus, Grafana … cloud-native stacks. ML Lifecycle: Production experience with experimentation, training, deployment, versioning, and monitoring. Reliability & Support : On-call participation, incident response, and system optimization. The ideal candidate will be a Senior MLOps Engineer with extensive, hands-on experience in Kubernetes, ready to make an impact at a globally recognised consumer tech company Location: London (2x a week onsite) Day rate More ❯

Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & Analytics Engineer, youll play a key role in shaping and influencing that … unstructured). Analytics & Reporting Model data (DAX, Tabular Editor) and build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, incremental refresh and DirectQuery. AI/ML Enablement Work with Libertys AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows. Stakeholder Enablement & Documentation Maintain clear documentation for BI … and trust the data Desirable: Experience with Lakehouse patterns; setting standards, quality checks etc. Parquet partitioning and clustering to optimise for query speed and cost GitHub Actions REST APIs ML Ops tooling What you can expect 25 days holiday excluding public holidays increasing after 2 years service Participation in Company and Personal bonus schemes Company pension scheme matching up to More ❯