401 to 425 of 1,811 Containerisation Jobs

Build and iterate AI-powered solutions, integrating LLMs and other AI components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying More ❯

detail Nice to have (not essential): Basic exposure to JavaScript or front-end frameworks Experience with CI/CD tools (GitHub Actions, Azure DevOps, etc.) Familiarity with Docker or containerization concepts What’s on Offer Salary up to £50,000, dependent on experience Annual bonus and full benefits package Hybrid working – 2 days per week in the London office More ❯

detail Nice to have (not essential): Basic exposure to JavaScript or front-end frameworks Experience with CI/CD tools (GitHub Actions, Azure DevOps, etc.) Familiarity with Docker or containerization concepts What’s on Offer Salary up to £50,000, dependent on experience Annual bonus and full benefits package Hybrid working – 2 days per week in the London office More ❯

Terraform. CI/CD Migration Experience: Hands-on experience with CI/CD platforms (GitHub Actions, Jenkins, GitLab CI), especially within migration projects (e.g., from Bitbucket to GitHub). Containerization: Familiarity with Docker and Kubernetes. Core Fundamentals: Solid understanding of networking, IAM, and platform security. Database Acumen: Experience with SQL, NoSQL, and data warehouses (MySQL, DynamoDB, Snowflake). Scripting Versatility More ❯

Build and iterate AI-powered solutions, integrating LLMs and other AI components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying More ❯

tools and cloud-based technologies Desirable Skills: Broader exposure to enterprise integration platforms. Prior experience in public sector or secure environments. Hands-on knowledge of additional cloud services or containerization technologies. Benefits Include: Contributory pension scheme Employee Assistance Program Medical and Dental cover 22 days holiday + bank holidays Maternity Pay/Shared Parental leave and paternity leave Sick pay More ❯

Build and iterate AI-powered solutions, integrating LLMs and other AI components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying More ❯

micro frontend (MFE) architectures and optimising CI/CD, automation, and testing practices. Extensive experience with cloud-native environments (preferably GCP and Azure, AWS experience will also be considered), containerisation, and infrastructure tools (Docker, Kubernetes, Helm, Terraform). Skilled in performance optimisation and secure development practices Proven leadership, mentorship, and collaboration skills across multiple teams and stakeholders. Excellent communication, problem More ❯

Build and iterate AI-powered solutions, integrating LLMs and other AI components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying More ❯

data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. More ❯

ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative More ❯