7 of 7 Contract MLOps Jobs in the South East

pipelines. Comfortable in fast-paced, agile delivery environments. DESIRABLE SKILLS Experience building or integrating feature stores . Familiarity with Unity Catalog , Databricks SQL , and cost optimisation . Exposure to MLOps practices and production-grade model lifecycle management. Prior experience in financial services or other regulated sectors. HOW TO APPLY Please register your interest by sending your CV via the apply More ❯

rest/in-transit), token management Identity integration (Google Identity, Azure Entra ID) Data Security & Governance RAG pipelines with data classification, masking, and DLP GDPR and data residency compliance MLOps & DevSecOps GitHub Actions, CI/CD security testing, model drift detection, audit logging Lab Environment Tooling Infrastructure-as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking More ❯

libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading More ❯

with large-scale data and cloud-based environments. Background in consulting or client-facing project delivery. Familiarity with sectors such as manufacturing, energy, healthcare, or public sector. Understanding of MLOps and data science solution lifecycle. Why Join? Work on groundbreaking AI projects with real-world applications.? Collaborate with a team that values innovation, creativity, and measurable impact.? Opportunity to influence More ❯

with internal policies and external regulations. Provide technical input on risk mitigation strategies and onboarding documentation. Security & DevSecOps Integration Integrate AI security controls into CI/CD pipelines and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application More ❯

MLOPS Engineer My client, a large consultancy, is in need of an MLOPS Engineer for a 6 month rolling contract inside IR35, offering 2 days per week remote but requiring 3 days per week on-site in Wokingham. The ideal candidate will have good experience in the IT industry with a strong focus on Azure-based architecture, Machine Learning, and … MLOps, Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure Synapse, Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and programming More ❯

assess and onboard new AI systems. - Evaluate solutions for compliance with internal policies and external regulations. Security & DevSecOps Integration: - Integrate AI security controls into CI/CD pipelines and MLOps workflows. - Monitor AI systems using Azure Monitor and Application Insights. Policy Implementation & Regulatory Alignment: - Translate regulatory requirements into actionable engineering guidelines. - Ensure compliance with transparency, data minimization, and incident response More ❯