7 of 7 Permanent MLOps Jobs in the City of Westminster

pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions ...

native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks, and community-of-practice initiatives Knowledge ...

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-driven advisory is delivered — working on cutting-edge ...

Proximie Limited is hiring a machine learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs ...

Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases Develop reusable engineering assets (libraries … experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference) Practical MLOps experience: CI/CD for ML, model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling ...

Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs. Containerisation and infrastructure as code: Docker and CUDA-based ...

Unity Advisory is seeking a client-facing AI Architect to design and deliver scalable AI architectures for enterprise clients. You will collaborate with engineers and consultants to turn ambitious ideas into production-ready systems. The ...