376 to 400 of 748 MLOps Jobs in England

Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative AI approaches while ensuring …/B testing and statistical evaluation Proven experience moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation ...

Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years … guidance. Some exposure to deploying or supporting AI/ML models — through academic projects, internships, or early career experience — with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such ...

maintain end-to-end AI/ML pipelines in Microsoft Fabric Design, train, deploy, and monitor machine learning and deep learning models Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback Collaborate with data scientists, analytics engineers, product managers, and developers to turn business … augmented generation Knowledge of AutoML, hyperparameter tuning and advanced MLflow features Experience with streaming and real-time data platforms Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker) Commercial awareness in e-commerce, travel or holiday-lettings sectors Experience mentoring others or leading technical workstreams ...

deployment of production-grade AI systems tailored to audit applications. Ensure solutions are scalable, reliable, and maintainable by applying strong software engineering principles, MLOps practices, and cloud-native development.· End-to-End AI Solution Delivery: Oversee the full lifecycle of AI product engineering—from architectural design and prototyping … Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support version control, performance optimisation, and maintainability.· Cross-Disciplinary Collaboration: Partner closely with data scientists, product managers, platform engineers, and QA teams ...

delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale.This is a technical hardware-and-software architect role, not a strategy-only position. … interconnects ,parallel/high-throughput storage, and orchestrationDesign the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures.Define and AI governance frameworks covering model risk management, responsible AI, data lineage ...

enterprise applications and workflows.Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement.Design and implement robust MLOps and LLMOps practices, including CI/CD, model monitoring, evaluation and governance.Deploy and optimise models using cloud-based AI services such as AWS Bedrock, Azure … tooling such as LangChain, LangGraph or similar open-source AI toolkits.Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems.Strong understanding of MLOps and/or LLMOps, including CI/CD, model deployment, monitoring, evaluation and governance.Experience designing AI systems with a strong focus on security, responsible AI, ethical ...

delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search).Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.Champion engineering best practices across the team, including … data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI ...

Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift. Champion engineering best practices across the team, including … data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI ...

demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal ...

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 ...

products used by millions of customers every day. This is a highly collaborative role where you’ll partner with Product Managers, Engineers and MLOps teams to take ideas from experimentation into production. You’ll also help shape technical best practice across the team, championing robust experimentation, high-quality code ...

skills/experience required: AWS Kubernetes IaC (Terraform) GitOps (Helm, ArgoCD) Monitoring and alerting for production systems (Prometheus/Grafana or similar) Azure (desirable) MLOps in k8s (Kubeflow etc) Running GPU workloads on K8s (drivers, scheduling, utilisation) Familiarity with AI engineering Experience deploying in air-gapped customer environments Experience with ...

Rust, C++ or JavaExperience with PyTorch, JAX or TensorFlowExposure to LangGraph, Google ADK or similarStrong understanding of ML fundamentals and model trade-offsExperience with MLOps, multimodal AI or constrained hardware is a bonus rather than a requirement.You’ll need the right to work in the UK and be eligible ...

also need to excel as an innovation professional across the global innovation ecosystem.In addition, you must have:Proven experience in AI or ML engineering, MLOps, or cloud-based analytics, ideally within financial servicesExcellent communication and stakeholder management skills, with the ability to bridge technical and business domainsA collaborative, adaptable approach ...

qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python ...

Build and maintain the model registry and documentation standards: model cards, model risk ratings, validation reports, approval records and change management documentation• Work with MLOps teams to embed governance into the model deployment pipeline: automated validation checks, staging environment requirements and production deployment gates• Manage the model governance committee: chairing ...

expertise. Familiarity with big data concepts or platforms (e.g., PySpark, Hive) for data extraction and manipulation. Experience with version control systems (e.g., Git) and MLOps principles. Exposure to containerisation concepts (e.g., Docker) or job scheduling tools (e.g., Kubernetes). The above list of duties is not exclusive or exhaustive ...

technologies. Familiarity with data annotation platforms or annotation workflows. Understanding of image classification, object detection or segmentation. Experience with data pipelines, dataset versioning or MLOps practices. Familiarity with SQL or database technologies. Experience working with cloud-based data or storage platforms. Knowledge of PyTorch datasets or computer vision model-training ...

technologies. Familiarity with data annotation platforms or annotation workflows. Understanding of image classification, object detection or segmentation. Experience with data pipelines, dataset versioning or MLOps practices. Familiarity with SQL or database technologies. Experience working with cloud-based data or storage platforms. Knowledge of PyTorch datasets or computer vision model-training ...

projectsIt’s a plus if you also have these skills· Experience contributing to AI platforms or reusable frameworks and patterns· Familiarity with LLMOps/MLOps and production evaluation practices· Experience embedding AI into core business processes or enterprise systems· Experience working in large-scale or regulated enterprise environmentsWhat ...

information and KPIs. Lead, support and encourage initiatives to modernize BAU through AI and data science : automate repetitive tasks, implement workflow optimization, and deploy MLOps practices for reliable model lifecycle management. To be successful in this role, we're seeking the following: High attention to detail with a desire ...

plus if you also have these skills**· Experience contributing to AI platforms or reusable frameworks and patterns· Familiarity with LLMOps/MLOps and production evaluation practices· Experience embedding AI into core business processes or enterprise systems· Experience working in large-scale or regulated enterprise environments* 26 days holiday, rising ...

Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus – Based on company performance 25 Days holiday not including bank holidays ...

developing with widely used software tooling and development languages across both algorithm and application development (such as Python, JavaScript, Rust) and covering a modern MLOps and CI/CD software engineering lifecycle (data management and augmentation, end-to-end model development, performance analysis, Test Driven Development).Desirable background:* Experience ...

solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder ...