301 to 325 of 581 MLOps Jobs in London

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 ...

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 ...

networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we’re doing at Monzo excites you. Multiple-year ...

degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals ...

AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great ...

technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range £94,500—£115,000 GBP Benefits Summary SambaNova offers a competitive ...

multi cloud with strong AWS depth). Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments ...

multi cloud with strong AWS depth). Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

well and partner with the commercial leadership to deliver high-value AI driven opportunities that enhance efficiency, customer experience, and growth.Establish best practices for MLOps, experimentation, model monitoring, and continuous optimisation.Data Engineering & Architecture Oversee the design and delivery of scalable, secure, and modern data platforms, pipelines, and architectures.Ensure data availability ...

Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience. Professional certifications or continued learning in AI, machine learning, MLOps or AI safety. What's in it for you? Competitive salary and bonus opportunity. 25 days annual leave with the option to purchase ...

robotics, or a related field Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI) Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance An understanding of different sensor modalities, their trade-offs ...

environment Prior experience working with highly imbalanced datasets for binary classification problems Event streaming data engineering tools such as Flink or Spark Experience with MLOps and tools such as Airflow, BentoML and MLFlow Use of Docker, CI/CD and SDLC (e.g. JIRA, Git, Jenkins, Octopus) Why Zempler Bank What ...

MLOps Technical Manager West London, UK (Hybrid – 2-3 days on-site)| Permanent About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with … scalability, reliability, and alignment with business goals Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimising disruption Define and enforce MLOps best practices across model training, serving, monitoring, and deployment MLOps & Engineering Design and maintain scalable ML infrastructure supporting batch and real-time environments Oversee ...

Marlin Selection Ltd seeks an expert in ML-driven forecasting to develop and productionise time-series models for energy generation. You will build forecasting pipelines, collaborate with data engineering to onboard data feeds and monitor ...

government, and national security. Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices on AWS to build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional … frameworks. Lead experimentation cycles, defining hypotheses, running evaluations, and iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance ...

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. … parallel/high-throughput storage, and orchestration Design 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 ...