1 to 25 of 26 Containerisation Jobs in the East of England

ECS/EKS, RDS, S3, IAM, and networking. Strong knowledge of CI/CD pipelines and automation tooling (Gitlab experience preferable). Experience with "infrastructure as code" (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident More ❯

ECS/EKS, RDS, S3, IAM, and networking. Strong knowledge of CI/CD pipelines and automation tooling (Gitlab experience preferable). Experience with 'infrastructure as code' (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident More ❯

an agile delivery environment. Excellent communication skills and the ability to clearly explain complex technical ideas. Thrives in a fast-paced environment and embraces change. Desirable Skills Experience with containerisation (Docker, Kubernetes). Background in web scraping , large-scale data ingestion, or processing. Familiarity with multi-language SaaS applications . UI/UX skills with modern CSS frameworks ( Tailwind, Bootstrap More ❯

ability to work independently. Useful to have: * Python and JavaScript (Node.js) for automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you’ll be doing: As a Backend Integration Developer, you More ❯

ability to work independently. Useful to have: * Python and JavaScript (Node.js) for automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you’ll be doing: As a Backend Integration Developer, you More ❯

similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas are highly desirable but not essential - AI, Natural Language Processing, OCR - Experience with containerisation via Docker is highly advantageous - Please not roles are subject to UK security clearance checks as such candidates must be eligible to obtain O.K. I'm in what's next More ❯

API). Strong development skills, particularly with Python. Big data experience/knowledge (hadoop etc) Advantageous to have knowledge of Generative AI, Natural Language Processing, Object Character Recognition, and containerisation (Docker). This is a hybrid role, with a need for 2-3 days on-site. Candidates must be British Citizens to meet security clearance requirements. Why this role stands More ❯

for UX and how to develop a UI that is highly accessible and easy to use Experience of AWS & working on cloud-based systems Any DevOps knowledge such as containerisation or CI/CD pipelines would be beneficial A background in a medtech or regulated industry is advantageous Experience of operating in a start-up environment would be a strong More ❯

data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous Knowledge in the industrial and/or defence sector would be advantageous Our company: Peace is not a given, Freedom is not a given More ❯

ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs 💰 What's On Offer Salary up to £55,000 + More ❯

ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs 💰 What's On Offer Salary up to £55,000 + More ❯

ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs 💰 What's On Offer Salary up to £55,000 + More ❯

ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs ?? What's On Offer Salary up to £55,000 + More ❯

cutting-edge solutions. The successful candidate will ideally have: Knowledge in NLP (Natural Language Processing). Knowledge in OCR (Object Character Recognition). Knowledge in Generative AI. Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. More ❯

Senior Software Engineer | £55,000 - £70,000 | Cambridge | Python | Django/Flask/FastAPI | GCP/AWS/AzureLocation: Cambridge, UK (hybrid/remote-first)Salary: £55,000 - £70,000FTC: Fixed-term contract (18months)Tech Stack: Backend: Python (Flask/ More ❯

Senior Software Engineer | £55,000 - £70,000 | Cambridge | Python | Django/Flask/FastAPI | GCP/AWS/Azure Location: Cambridge, UK (hybrid/remote-first) Salary: £55,000 - £70,000 FTC: Fixed-term contract (18months) Tech Stack: Backend: Python More ❯

Role Responsibilities As a Software Engineer, you’ll work across the full technology stack to improve our low-code AI platform. You will collaborate closely with our engineering, product, and professional services functions to deliver new features and performance improvements. More ❯

Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and nationalities. We serve more than 5.5m customers every day in over 175 countries More ❯

Press Tab to Move to Skip to Content Link Location: London Other locations: Primary Location Only Date: Jul 8, 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in More ❯

week Start: ASAP Duration: 6 - 12 months Rate: £540 per day, inside IR35 Were looking for an HPC Technical Lead with deep expertise in High-Performance Computing platforms , Docker containerization , Azure infrastructure , and Linux systems . This role is ideal for a technical leader who thrives in designing, building, and managing cutting-edge HPC environments. Key Responsibilities Lead the technical … methodologies . Why Join? This is an exciting opportunity to lead technical innovation within HPC, working on impactful projects at scale. Youll have the chance to shape infrastructure, implement containerization best practices, and drive modernization in a highly collaborative environment. If you have the relevant skills and experience, please apply promptly and we will be in touch to discuss your More ❯

with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU … Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong More ❯

with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU … Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong More ❯

with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU … Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong More ❯

Job Title: Principal Software Engineer (Cloud Applications) Location: Hybrid/Remote (Hemel Hempstead) Salary: £100,000 per annum Job Type: Full Time, Permanent Eckoh is a market leader of Customer Engagement Security Solutions, supporting an international client base from our More ❯

Job Title: Principal Software Engineer (Cloud Applications) Location: Hybrid/Remote (Hemel Hempstead) Salary: £100,000 per annum Job Type: Full Time, Permanent Eckoh is a market leader of Customer Engagement Security Solutions, supporting an international client base from our More ❯