london, south east england, United Kingdom Hybrid / WFH Options
MFK Recruitment
and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions, Storage More ❯
areas we would love to see knowledge and understanding to discuss further would be: Virtualization - platforms such as Vmware/Redhat Openshift Kubernetes and Docker Configuration Management Systems – Puppet/Ansible Linux Administration – redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols – DHCP/DNS More ❯
and experience working on AI-first applications, agent-based systems, or data-rich web platforms. Strong cloud experience (AWS, Azure, GCP), including containerized deployments (Docker, Kubernetes) and cloud services (AWS Lambda, S3, DynamoDB, etc.). A track record of collaborating cross-functionally with design, product, and ML teams to bring More ❯
Crawley, Sussex, United Kingdom Hybrid / WFH Options
Thales Group
stacks, and Cloud Platforms (IaaS, PaaS, SaaS) Understanding of Networking, Cybersecurity basics, and privacy for modern applications Deep knowledge of containers and orchestration tools (Docker, Helm, Kubernetes) Familiarity with automation and industrialization methods (programming languages, scripting in Go, Python, Bash) Experience with CI/CD pipelines (Gitlab, Github Actions) and More ❯
W1S, St James's, Greater London, United Kingdom Hybrid / WFH Options
MFK Recruitment
members. Software Engineer - Skills Required: Python (FastAPI, Flask) (or another asynchronous language/framework) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions, Storage More ❯
have: Experience with Next.js Experience with Redis/Memcached Experience with PHPUnit, mocha, jest, or similar; Experience in server technologies, specifically AWS; Experience in Docker applications will be a plus; Familiarity with open-source software a plus; Familiarity with JIRA, Jenkins, Elasticsearch, Grafana, Kibana is a plus; Experience in Kubernetes More ❯
implementation of RESTful microservices, containers, and resilient, scalable platforms. Experience in Test Driven Development using JUnit, Mockito, or similar tools. Hands-on experience with Docker, Kubernetes, or related container platforms. Experience with cloud-native software deployment, ideally on AWS or Kubernetes. Experience with message bus technologies such as Kafka or More ❯
infrastructure/DevOps) An understanding of the SDLC process Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience with container technologies (Docker or Podman) Experience with AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS CLI) Familiarity with Continuous Integration Pipelines (GitLab CI, Travis CI, etc. More ❯
such as PowerShell, C# Understand or worked within an Incident Management Process (ITSM) Desirable Requirements: AWS Linux - Debian, CentOS, Alpine and AWS Linux Terraform, Docker, Kubernetes, Git Observability/APM Platforms Jenkins, Nginx, MySQL Benefits We are actively committed to promoting a fully diverse and inclusive workforce and we welcome More ❯
Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks expertise, including ML workflows and data pipeline integration Familiarity with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring Bachelor More ❯
Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks expertise, including ML workflows and data pipeline integration Familiarity with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring Bachelor More ❯
and working with RedHat Linux environments Experience using Bitbucket and GitHub Enterprise for version control and collaboration Preferred to have experience/exposure to Docker/OpenShift based container deployment Familiarity with tools like Teamcity/Tekton & uDeploy/Harness for CI/CD automation Experience with SonarQube for code More ❯
project teams A natural ability to mentor junior developers You’ll have: 6+ years of commercial software engineering experience in Java, Springboot, Microservices, AWS, Docker, Kubernative, Kafka. Service oriented architecture development TDD/BDD Experience working in an Agile environment Natural self-motivation with a passion for delivering excellence Great More ❯
of Spring framework or equivalent Knowledge of software design patterns and when to apply them Excellent knowledge of development processes Experience of containerisation using Docker or Kubernetes Experience of Continuous Integration (CI) and Continuous Delivery (CD) A passion for delivering quality code, by use of TDD and setting high software More ❯
latency and throughput in order to pinpoint or resolve application issues. Thorough knowledge of HTTP(S), SMTP, TLS/SSL, DNS, LDAP, Kubernetes and Docker containers Experience of system/application administration in a distributed, customer-facing, high-availability and large-scale environments Experienced and confident in at least one More ❯
done in a commercial setting Experience working with SQL/NoSQL databases, ability to write complex queries and optimise them Understanding of containerization technologies (Docker, RKT, Kubernetes, etc.) Experience with CI/CD systems (Github Action, Gitlab, etc.) Experience working with cloud providers like Google Cloud Nice to have TDD More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
The MRJ Group
such as PostgreSQL, including experience with query optimization and schema design Non-relational database technologies: such as DynamoDB or MongoDB Familiarity with containerization technologies: (Docker, Kubernetes etc) Experience with modern quality practices: such as pairing, TDD, BDD What will we offer you? Upon joining, we'll set out your journey More ❯
required). Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and cloud platforms (AWS, GCP, or Azure). Familiarity with containerisation technologies (Docker, Kubernetes). Experience working with CI/CD pipelines, model registries, and ML observability tools . Understanding of responsible AI principles, model monitoring, and data More ❯
and soft skills. Experience of working with Cloud platforms such as Google Cloud and AWS. Have experience of working with container technologies such as Docker and Kubernetes. Experience of CI/CD pipelines. Why work for us? At Jisc, everyone plays a key role and gets the chance to feel More ❯
types of programming languages: interpreted, compiled, with garbage collection, manual memory management, reference counting memory management, etc. Current tech stack: Python AWS MongoDB Firebase Docker Terraform React PostgreSQL What we can offer: A real-deal startup adventure: you'll be hopping on a major project while it's still in More ❯
Peterborough, Cambridgeshire, United Kingdom Hybrid / WFH Options
BGL Group
champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. There's something for everyone. We're a place of opportunity. You'll have More ❯
machine learning models to production environments. Knowledge of MLOps practices and tools for model monitoring and maintenance. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. Demonstrated ability to identify, analyse, and solve complex More ❯
