226 to 250 of 603 MLOps Jobs in England

cross‐functional work collaborating with other teams. Strong communicator – able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

cross‐functional work collaborating with other teams. Strong communicator – able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

cross‐functional work collaborating with other teams. Strong communicator – able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA ...

cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA ...

loops, and technologies such as Gemini, Claude and OpenAI APIs. Hands-on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. ...

frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Knowledge and experience with AWS is highly desirable. Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Why Work for Proximie ...

Vault, cloud-native equivalents), OPA/policy-as-code, SBOM and SLSA concepts. Platform: Kubernetes, containers, Terraform, service mesh, observability stacks AI/ML: MLOps and LLMOps tooling, model registries, vector stores and retrieval architectures, evaluation frameworks, agent frameworks, AI gateway patterns Experience operating under model risk management (e.g. ...

with Engineering and Data colleagues to turn model outputs into reusable, scalable data assets rather than one-off analysis or tables . Partner with MLOps colleagues to deploy, monitor and retrain models, with clear ownership, versioning in MLflow and documented handover points. Turn complex model outputs into clear, commercially relevant ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

access expectations. Experience with PETs or privacy‐preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give ...

Anaplan Inc. seeks a Platform Lead to spearhead ML Ops infrastructure, cost-optimisation, and deployment strategies. You will manage a talented DevOps team while remaining deeply technical and hands-on, building scalable platforms for ML ...

Kintec Global Recruitment seeks a DevOps and Machine Learning Operations Engineer to join a specialist software team in Manchester. You will build and operate delivery pipelines, environments, and the model-serving path with IaC, CI ...

Proximie is seeking an experienced ML Platform Engineer to own the productionization and scaling of the machine learning stack. You will manage platform infrastructure, model training and inference on AWS SageMaker, and ensure reproducible, observable ...

indexing and retrieval. Build and maintain dataprocessing pipelines using Databricks and Apache Spark. Support the development,testing and deployment of machine learning models through MLOps pipelines. Develop user-facing AIinterfaces, including streaming interactions and human-in-the-loopworkflows. Implement automated testing, AImodel evaluations and CI/CD processes to ensure … within Agiledevelopment environments. Understanding of securesoftware development practices and responsible AI principles. Nice to Have Experience with AWS cloudservices. Hands-on experience withDatabricks and MLOps frameworks. Knowledge of Model ContextProtocol (MCP) and AI agent orchestration. Experience with AI evaluationframeworks, LLM-as-a-judge techniques and automated regression testing. Familiarity with ...

integration. Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems. Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI. Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms. Drive enterprise adoption … Experience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code. Proficiency with GitHub Actions, GitLab, and Jenkins. Knowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks. Master's degree in Computer Science, AI, Data Science, or related discipline ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ML workflows using contemporary engineering and CI/CD practices, enabling AI solutions … learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your ...

Job Role: Customer AI Engineer Team: Song AI & Data – AI & Modelling Craft, UK&I Location: London/Manchester Career Level: Consultant (L9) We Are Accenture Song accelerates growth and value for our clients through sustained ...

governance Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML End‐to‐end custom SageMaker pipelines for recommendation systems Design and implement the engineering components of GAR+RAG systems … problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure Requirements Extensive experience ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production Strong Python, Java, and/or Scala engineering Experience with statistical analysis, machine learning theory ...

with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive adoption of AI and MLOps to deliver innovative #J-18808-Ljbffr ...

while collaborating with Data Scientists to integrate AI/ML into banking systems. You will architect scalable cloud infrastructure on AWS with Kubernetes, promote MLOps practices, and mentor junior engineers to drive automation and reliability across production systems. #J-18808-Ljbffr ...