26 to 38 of 38 MLOps Jobs in the South East

as a C# Developer with proficiency in Python, .NET framework and C# as well as experience with ML.NET, ASP.NET, MVC, Web API Containers (Docker/Kubernetes), Machine Learning Operations (MLOps) and CI/CD Good knowledge of IT industry trends (especially GenAI and AgenticAI), suppliers, platforms and products Post productions MLOps, Model retaining and Drift monitoring in Azure with knowledge More ❯

initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location/WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from More ❯

initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location/WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/ More ❯

initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location/WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from More ❯

engineers and scientists, contribute to the development of internal ML platforms, and help identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills:* Bachelor's degree (2:1 or above … in science, engineering, mathematics, or computer science* Strong Python development skills* Practical experience with machine learning or deep learning in scientific/engineering contexts* Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker)* Passion for working with real-world datasets and data visualisation* Interest in material discovery, computer vision, big data, and optimisation techniques* Excellent communication and More ❯

Role? Shape and deliver the security architecture strategy for enterprise cloud and AI/ML programmes. Work on cutting-edge initiatives in the financial services domain, integrating AI and MLOps with security guardrails. Act as a trusted advisor to senior leadership , influencing both business and technology direction. Key Responsibilities Define and evolve security architecture strategies for cloud, AI/ML … and MLOps environments . Act as a senior security advisor to leadership, engineering, and business stakeholders. Develop security architecture standards, patterns, and guidelines for enterprise solutions, with specific coverage for AI/ML workloads. Conduct security architecture reviews, threat modelling, and risk assessments for AI/ML systems and pipelines . Ensure solutions comply with European financial services regulations (GDPR … PSD2, DORA, NIS2) as well as emerging AI governance frameworks (e.g., EU AI Act, NIST AI RMF). Integrate security into DevSecOps and MLOps pipelines , including CI/CD and infrastructure-as-code environments. Drive adoption of Zero Trust principles, encryption standards, IAM policies, and network/data/application security controls. Collaborate with data scientists, ML engineers, and IT More ❯

needs, and see the real-world impact of your work. What You'll Be Doing Building and deploying production ML pipelines in cloud environments (AWS, Azure, or GCP) Implementing MLOps best practices to maintain and scale AI applications Working directly with NHS trusts and healthcare clients to understand their challenges Contributing to both project delivery and the development of repeatable … learning algorithms and their practical application Ability to deliver high-quality work to tight deadlines Genuine interest in healthcare - you want your work to matter Highly Desirable: Experience with MLOps in cloud environments Background in healthcare, consulting, or research settings Exposure to modern cloud platforms (AWS/Azure/GCP) Salary: £40,000 - £55,000 + good benefits + bonus More ❯

Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000 This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life More ❯

Senior Ruby Engineer Scale-Up Tech Company - Remote (Anywhere in the world) Up to £80,000 Are you ready to take your career to the next level? We're working with one of the fastest-growing tech companies in the More ❯

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to More ❯

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to More ❯

Morela is supporting our client in securing an experienced AI Assurance ML Ops professional to join a high-impact programme. This is a chance to ensure AI/ML systems are safe, auditable, and fully aligned with regulatory and ethical More ❯