12 of 12 MLOps Jobs in Manchester

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. ISTQB AI Testing ...

platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading technical initiatives. Nice to Have Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience working with large-scale datasets or real-time ...

Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to DevOps tools (CI/CD pipelines, automation). Knowledge of model deployment or MLOps practices. Experience designing distributed systems or event-driven architectures. What We Offer Collaborative and supportive team environment. Opportunities to work with cutting-edge AI technologies. ...

essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management ...

APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud platforms Leverage agent frameworks (LangChain, LlamaIndex, CrewAI) to orchestrate complex AI workflows Develop model fine-tuning, evaluation frameworks ...

growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ...

into products and decision-making. Responsibilities Build and maintain end-to-end AI/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience ...

into products and decision-making. Responsibilities Build and maintain end-to-end AI/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience ...

evaluation of new model architectures. · Implement production features end-to-end under guidance from senior engineers. · Participate in code reviews, testing, deployment, and MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models ...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people … opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps ...

want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with ...

Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques Influence key decisions on architecture and implementation … including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field such as computer science or years ...