London, England, United Kingdom Hybrid / WFH Options
Aventum Group
the required language, including OOP. Experience working with multiple programming languages. Experience working with a wide variety of libraries/frameworks. Advanced understanding of containerisation, serverless technologies and other cloud deployment paradigms. Advanced working knowledge of cloud platform resources e.g. Azure, AWS Experience working with CI/CD pipelines, and more »
with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy, security, and ethical AI principles, with the ability to design and more »
find solutions to problems. Desirable In-depth knowledge of at least one high-level language used in data science, such as Python. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Understanding of distributed software applications. Up to date with new approaches in software development. Demonstrable experience more »
principles, including Infrastructure as Code, DevOps, and serverless computing Experience with AWS services such as EC2, S3, RDS, Lambda, ECS, and EKS Experience with containerization technologies such as Docker and Kubernetes. Demonstrable stakeholder management experience Immediate Start/£800p/d more »
in interview stages They are looking for: Experience building applications using Python. Working knowledge of the Django web framework. Working knowledge of Docker and containerisation Working knowledge of git and GitHub Experience of deploying and maintaining applications using AWS, including the AWS command line Experience of working with relational databases more »
their Development teams. To be a suitable fit for this opening, the following expertise is required: Strong Cloud experience with AWS and AWS Services Containerisation/Orchestration with Kubernetes Strong understanding of IaC with Terraform Wealth of Monitoring and Observability experience Knowledge of Security/DevSecOps practices This position can more »
Engineer with the following: Experience maintaining and scaling AWS services Big data experience with tooling such as Snowflake/PostSQL (over 1TB Daily ideally) Containerisation experience with Docker or Kubernetes We can offer a DevOps Engineer in this team: Remote working anywhere in the UK A Salary of Upto more »
in interview stages They are looking for: Experience building applications using Python. Working knowledge of the Django web framework. Working knowledge of Docker and containerisation Working knowledge of git and GitHub Experience of deploying and maintaining applications using AWS, including the AWS command line Experience of working with with relational more »
in interview stages They are looking for: Experience building applications using Python Working knowledge of the Django web framework Working knowledge of Docker and containerisation Working knowledge of git and GitHub Experience of deploying and maintaining applications using AWS, including the AWS command line Experience of working with with relational more »
to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »
in interview stages They are looking for: Experience building applications using Python. Working knowledge of the Django web framework. Working knowledge of Docker and containerisation Working knowledge of git and GitHub Experience of deploying and maintaining applications using AWS, including the AWS command line Experience of working with with relational more »
to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »
provide support for service analysts on customer incidents. Document actions to turn findings into repeatable and automated processes. Qualifications: Strong knowledge of virtualization and containerization technologies on Azure. Proficiency in object-oriented programming and developing automated solutions through code. Passion for secure network design and protecting organizations from evolving cyber more »
FAST APIs for building APIs & SQL Alchmy for database interactions. Strong experience in cloud-based development (AWS). Proficiency with both Docker & Kubernetes for containerisation & orchestration. Experience working in Commodities, Trading or Financial Services markets. Experience in implementing solid software engineering practice For more information surrounding this position please apply more »
Familiarity with automation tooling and technologies. Experience supporting digital platforms and scaling API ecosystems. Solid understanding of networking, security, and system administration. Proficiency in containerization tools and infrastructure as code (IaC). Who you are : Ability to explain complex technical concepts simply. Strong attention to detail. Willingness to learn and more »
systems for a diverse range of technologies including ETL and scraping pipelines, graph databases, machine learning algorithms, continuous deployment (CD), infrastructure as code (IaC), containerization, and automation. You will collaborate closely with cross-functional teams to ensure seamless integration of these systems into our development lifecycle. Your expertise in infrastructure more »
and data frames. Experience building APIs with FAST API and interacting with databases using SQL. Cloud-based development is ideal, particularly in AWS services. Containerisation and orchestration experience in Docker and Kubernetes. A minimum of 5 years in software development is a must, ideally within the commodities trading or financial more »
knowledge of Storage systems such as SAN and NAS Knowledge of configuration management tools like Ansible, Puppet and Terraform Exposure to cloud native and containerization technologies such as Kubernetes and Docker Not quite right for you? Refer someone you know and earn up to £500 when they complete a face more »
writing code) An ability to write production quality Python code. Experienced creating data pipelines on a cloud (preferably AWS) environment CI/CD experience Containerization experience (Docker, Kubernetes, etc.) Experience with SQS/SNS, Apache Kafka, RabbitMQ Other interesting/bonus skills – Airflow, Trino, Apache Iceburg, Postgres, MongoDB You *must more »
patterns. Experience with Spring Boot and microservices architecture. Focus on building scalable and resilient systems. Familiarity with cloud platforms, particularly AWS, and experience with containerization technologies such as Docker and Kubernetes. Previous experience in the financial industry is beneficial but not essential. Benefits: Competitive salary from £50,000 to more »
public cloud VMware to Azure migration of approx. 400 workloads Qualifications: Strong experience with Azure solutions and migration strategies. Proficiency in IaC tools and containerization technologies. Excellent communication and collaboration skills. Azure certifications If you'd like to discuss this Azure Migration Architect role in further detail, please send your more »
to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »
using FAST APIs for building APIs & SQLAlchmy for database interactions. Strong experience in cloud-based development (AWS). Proficiency with both Docker & Kubernetes for containerisation & orchestration. Understanding or Airflow & DAGs. Experience in building applications using Kafka. Solid OOP principles & design patterns. Permanent/Full-Time Employment. Hybrid working environment more »
record of leadership in technology-driven organizations, with extensive experience in SaaS, Hyperscale, and Cloud environments. Deep understanding of cloud-native architectures, microservices, and containerization technologies (e.g., Kubernetes, Docker). Strong technical proficiency across a broad range of technologies, including but not limited to AWS, Azure, Google Cloud Platform, and more »
of On-Premise infrastructure technologies (e.g., servers, storage, networking) Proficiency in Cloud platforms such as AWS, Azure, or Google Cloud Strong understanding of virtualisation, containerisation, and microservices architecture Familiarity with security best practices in both On-Premise and Cloud environments Experience as a Technology Architect on major change or transformational more »
