17 of 17 Contract MLOps Jobs in London

of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining More ❯

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 ❯

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 ❯

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 ❯

memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters, and framework capabilities. 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 ❯

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 ❯

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 ❯

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 ❯

Job Title : Product Manager - MLOps Platform (AdTech Focus) Location : Remote (UK BASED) Salary/Rate : £550 Inside IR35 Start Date : 18/08/25 - 31/12/25 Job Type : Contract MUST BE ELIGIBLE FOR BPSS About the Client: Our client is a global leader in the digital advertising space, driving innovation across programmatic media, data platforms, and … real-time analytics. They are embarking on a strategic initiative to build a greenfield MLOps platform to power advanced machine learning use cases across their AdTech ecosystem. This is a fully remote role, inside IR35, offering the chance to own and shape foundational ML infrastructure at scale. Key Responsibilities: Define and own the product vision and roadmap for a brand … new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint More ❯

Role Title: Product Manager - MLOps Platform (AdTech Focus) Location: Remote | UK Based Duration: 31/12/2025 MUST BE THROUGH UMBRELLA Role Description: We're looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique … a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Responsibilities: Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand … workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform. Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments click apply for More ❯