7 of 7 MLOps Jobs in Bristol

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 ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

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 ...

Engineer - LLM RAG AWS MLOps – Bristol (Hybrid) I'm working with a fast-growing tech company in Bristol that needs an AI/ML Engineer to build and deploy machine learning and LLM solutions. You'll be working across the full ML lifecycle—from design through to production … engineering and data team tackling projects like LLM development, intelligent automation, semantic search, and recommendation systems. There's real scope here to influence how MLOps and model deployment are done, and you'll be working with current AWS tooling. What you'll be doing: Building and deploying ML models ...

personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives ...

deploy Generative AI models for enterprise manufacturing and operational intelligence use cases. Develop and maintain end to end machine learning pipelines using modern MLOps frameworks including CI and CD, observability, automated testing, and monitoring. Work with large scale, multi region data sets including structured and unstructured data. Use tools such … with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented Generation, and diffusion models. Strong MLOps experience including MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI and CD tooling. Strong programming skills in Python. Bash, SQL, and JavaScript are desirable. Proven experience ...

personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives ...