6 of 6 Remote Containerisation Jobs in Slough

operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous More ❯

one or more of: .NET, Java, Go, Node.js Frontend experience with React, Vue, or Angular Solid experience with AWS and cloud-native architectures Familiarity with CI/CD, Terraform, containerisation (Docker/K8s) A TDD and best practices mindset – you care about clean, maintainable code Excellent communication skills – able to explain complex solutions clearly Previous experience in a consultancy or More ❯

cost-efficiency across AWS services 🎯 What We're Looking For: Strong hands-on experience with AWS (EC2, S3, Lambda, RDS, etc.) Proficiency in scripting (Python, Bash, etc.) Familiarity with containerization (Docker, Kubernetes) Experience in CI/CD and infrastructure as code AWS certifications are a plus 🌟 What We Offer: Exciting contract opportunity with a leading tech team Flexible working arrangements More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯

and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯