1 to 25 of 45 Containerisation Jobs in Slough

verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure-as-Code principles. What You'll Gain Practical exposure to modern DevOps workflows and cloud ...

Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity ...

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 ...

years of professional experience in a technically and/or scientifically complex and competitive environment. Proficiency in Linux and Docker including system administration and containerization for deployment and scaling. Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding ...

e.g. WebSockets, SSE) Designed and implemented event-driven distributed systems (e.g. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot ...

Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems ...

related products Proficiency in Python and JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience ...

deployed ML systems Required Skills and Experience Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with ...

deploy to production multiple times a day Tech Stack Backend: Python (FastAPI) + Typescript (express) Frontend: React + Typescript Infrastructure: AWS (serverless!), terraform Containerisation: Docker Database: PostgreSQL + DynamoDB CI/CD: GitHub actions + Blacksmith runners What You'll Do Build exceptional product and scale the core experience Implement ...

eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor ...

lead the architectural evolution as scale increases. Current Stack Frontend: Next.js, TypeScript, Tailwind CSS Backend & APIs: Python (Quart/Flask) Infrastructure: PostgreSQL, Docker containerisation, Azure Delivery Operations: CI/CD automation, Git-based workflow, Agile execution Responsibilities Build and Lead the Engineering Function Establish engineering processes, standards and ways ...

twice a week. About you: You have advanced backend Python development skills You have a strong knowledge of AWS, DevOps practices, CI/CD, Containerisation You're comfortable with occasional front end work You have experience of owning the end-to-end software delivery lifecycle, are proactive in bringing solutions ...

Strong collaboration skills and experience working in small, high-ownership teams. Tech stack & environment Python-first backend development. Cloud-native infrastructure (AWS preferred). Containerisation and orchestration (Docker, Kubernetes). Message queues and streaming systems (e.g. Kafka, SQS, RabbitMQ). Relational and/or NoSQL databases. CI/CD pipelines ...

/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

databases (Pinecone, FAISS, ChromaDB). Strong understanding of transformer architectures and attention mechanisms. Experience deploying AI applications on cloud platforms (AWS, Azure, GCP) and containerisation tools (Docker, Kubernetes). Knowledge of MLOps, evaluation metrics for LLMs, and implementing responsible AI principles. Experience in Insurtech or Fintech domains. Desirable Familiarity with ...

requiring high availability You have a good understanding of Infrastructure-as-Code (IaC) You have experience of building CI/CD pipelines You have Containerisation experience; they're using Nomad but Kubernetes or OpenShift experience is fine You have automation skills and a deep understanding of computer hardware, networks ...

latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows ...

We're supporting a National Security-focused technology consultancy in the search for a SC-cleared Cloud Engineer with strong experience automating secure, scalable cloud platforms in highly regulated environments. Responsibilities Automate application and infrastructure ...

We are looking for a DevOps Engineer to join our team and actively engage with and support DevOps technology adoption and modernization by all application development teams at the firm. The candidate will provide implementation ...

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. ...

Net Developer Hybrid working - London £650 Outside IR35 Key Responsibilities: Design, develop, and maintain robust .NET applications and platforms with a focus on integrating and managing data workflows. Establish and enforce security protocols based on ...

Locai Labs is The British Foundational AI Company based in Paddington London. We are dedicated to building world class large language models at the forefront of cost and efficiency. Our mission is to advance cutting ...

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking ...

engineering experience, ideally CompSci background. Strong Python + C# experience. Exposure to either valuations, Risk/PnL, or trading lifecycle. Knowledge of REST APIs, containerisation, cloud deployment, and Pandas. Why join? Work with brilliant engineers and quants, solve complex real-world problems, and have direct impact in a hedge fund ...

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/ ...