276 to 300 of 698 MLOps Jobs in the UK

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 ...

Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. … improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance ...

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 ...

develop GenAI/Agentic AI applications, integrate with tools and data, and ensure secure, reliable production services. The role emphasizes modern AI engineering workflows, MLOps, and scalable cloud deployments on AWS, using Java and/or Python, APIs, and CI/CD. Strong collaboration across stakeholders is essential. #J ...

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 ...

Platform Engineer to design and operate an Azure-based data and AI platform. The role covers Azure landing zones, network architecture, Databricks governance, and MLOps pipelines. You will implement secure, scalable infrastructure and CI/CD processes for global teams. The candidate will work hands-on with Terraform, Bicep, Azure ...

applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps on AWS/Azure/GCP to deliver scalable, observable AI solutions at scale. #J-18808-Ljbffr ...

with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research or Kaggle competition experience Domain depth in financial services, retail or healthcare Send your ...

experience with Python and modern AI/ML technologies - this could include areas such as Machine Learning, Deep Learning, Generative AI/LLMs or MLOps . Previous training, teaching or mentoring experience would be valuable, but we're also interested in experienced AI/ML professionals who have the communication ...

solutions into existing products and platforms. ✔️ Optimize model accuracy, efficiency, and scalability. ✔️ Research new AI frameworks, methodologies, and technologies. ✔️ Deploy and monitor models using MLOps pipelines. ✔️ Utilize cloud AI services from AWS, Azure, or Google Cloud. ✔️ Collaborate with cross-functional teams to define AI project goals. ✔️ Translate complex data insights ...

including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience ...

architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with the chance to shape how AI-\u2011driven advisory is delivered — working on cutting-\u2011edge ...