12 of 12 Containerisation Jobs in North Yorkshire

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/or defence environment The ideal candidate must have Proven experience working as a Data Engineer ...

experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic or LLM-based frameworks Exposure to causal inference, uplift modelling ...

Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. Be resourceful and innovative. ...

hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: Deploy and configure a complete AI/ ...

About Pronetx Pronetx is a cutting-edge consulting firm that specializes in transformative customer experience (CX) solutions powered by AWS. With decades of experience deploying sophisticated CX solutions for industry leaders like Capital One, Social ...

About Us We are a fast-growing fintech company building modern, scalable platforms that power real-world financial products. Our engineering culture values clean architecture, strong ownership, and pragmatic innovation. We operate in a cloud ...

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The ...

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK's most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly ...