26 to 38 of 38 MLOps Jobs in the South East

currently available globally. The Role We are building custom AI hardware and the full-stack software ecosystem to run it. As our first dedicated MLOps Engineer, you will own the infrastructure that takes models from research to silicon-validated production — designing, building, and operating the pipelines, tooling, and platforms that ...

engineering standards, and drive high-impact ML products from research to deployment. The role requires deep ML expertise, strong software engineering, and experience in MLOps, distributed systems, and scalable APIs. #J-18808-Ljbffr ...

infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high-speed CI/CD pipelines within Azure DevOps to automate code promotion and MLOps workflows. Incident Management : Lead the response, containment, and resolution of critical platform outages, serving as a primary escalation point for high-priority cloud and infrastructure … requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates, and continuous training/inference pipelines to eliminate friction. ...

experimentation through to productised, maintainable solutions that deliver measurable value. Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines. Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams. Lead complex, multi-team technical initiatives and influence organisational … systems, scalable architectures, and API design. Advanced programming experience in languages such as Python, Go, Java, or C++. Advanced SQL knowledge. Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge ...

Education : EQUIVALENTEXPERIENCEAt Elanco (NYSE: ELAN) – it all starts with animals!As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals ...

Senior AI Transformation Leader - London (Hybrid) - Up to £115,000 An established organisation delivering AI and digital transformation solutions is seeking a Senior AI Transformation Leader to support the growth of its Telecoms, Media & Technology ...

GenAI capabilities across our business, delivering secure and reliable AI solutions for animals and customers. The role requires deep expertise in NLP, LLMs, and MLOps, plus modern cloud architectures. Hybrid work is available with three days per week in the Hook office, UK. #J-18808-Ljbffr ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...

seeks a Head of AI Engineering to lead the design, deployment and governance of enterprise AI capabilities, including ML platforms, generative AI and MLOps tooling. You will establish AI engineering standards, guardrails and best practices across the model lifecycle, ensuring scalable, secure and compliant solutions delivering measurable business value. ...

Lumai Limited is building a breakthrough AI accelerator for data centers using 3D optical compute. We seek a senior MLOps Engineer to own end-to-end ML pipelines, tooling, and production deployments for models from research to silicon-validated production. In this high-ownership role, you’ll collaborate with ...

design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver … measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence. Define and maintain engineering standards, AI guardrails and Responsible AI practices. Oversee model development, deployment, monitoring, evaluation and continuous improvement processes. Drive preventative controls, automation, observability and root cause analysis ...

engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering … anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding of graph-based dependency or impact analysis (desirable) Experience with AI features in compliance or governance contexts (desirable) Familiarity with SAP BTP (desirable) Benefits ...

design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver … measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high‐quality delivery and operational excellence. Define and maintain engineering standards, AI guardrails and Responsible AI practices. Oversee model development, deployment, monitoring, evaluation and continuous improvement processes. Drive preventative controls, automation, observability and root‐cause analysis ...