2,251 to 2,275 of 4,593 Azure Jobs in England

and proven experience as an Application Developer or in a similar role · In-depth knowledge, understanding and current usage of C# .Net, MS Blazor and Entity Framework · Understanding of Azure resources such as ADF, ASB, and Logic Apps · Experience with server management/maintenance/patching · Knowledge of Git or other Git-based versioning tools (e.g. GitHub) · Excellent communication More ❯

on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or personalisation More ❯

on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or personalisation More ❯

on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or personalisation More ❯

Strong understanding of application design, rational databases (SQL Server), monitoring and alerting tools (Grafana, Prometheus, Victoria Metrics), scheduling tools (Control-M), operating systems (Windows/Linux), Kubernetes, cloud platforms (Azure), issue tracking and source control (JIRA, Git, Bitbucket). Interview Process: Coding Challenge – We would like to get a better sense of your programming potential. You will be sent More ❯

FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in More ❯

product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to More ❯

product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to More ❯

XGBoost, TensorFlow, PyTorch). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with LLMs, prompt engineering, pre-training, and fine-tuning techniques. Experience with AWS Bedrock, SageMaker, and GenAI pipelines. Preferred Skills: MSc or PhD in Data Science, Computer More ❯

XGBoost, TensorFlow, PyTorch). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with LLMs, prompt engineering, pre-training, and fine-tuning techniques. Experience with AWS Bedrock, SageMaker, and GenAI pipelines. Preferred Skills: MSc or PhD in Data Science, Computer More ❯

IP, and common protocols. Strong investigative mindset and attention to detail. Clear, concise communication skills for both technical and business audiences. Nice-to-Haves Exposure to cloud security (AWS, Azure, or GCP). Hands-on lab or internship experience with incident response. Entry-level certs like CompTIA Security+ or GIAC GSEC in progress. Why Our Client? Competitive package More ❯

What We’re Looking For Required Proven experience building ETL pipelines and data infrastructure in production Hands-on work across cloud platforms (GCP preferred, with exposure to AWS/Azure) Strong software engineering skills, with the ability to choose appropriate tools/architectures Experience with data storage, management, and versioning at scale Ability to work independently, engaging with stakeholders More ❯

What We’re Looking For Required Proven experience building ETL pipelines and data infrastructure in production Hands-on work across cloud platforms (GCP preferred, with exposure to AWS/Azure) Strong software engineering skills, with the ability to choose appropriate tools/architectures Experience with data storage, management, and versioning at scale Ability to work independently, engaging with stakeholders More ❯

of methodologies such as Agile, Lean, Six Sigma, or Prosci. Strong analytical and communication skills to engage both technical and non-technical stakeholders. Experience in using task management (e.g., Azure DevOps, JIRA) HMG Security Clearance SC (or willingness to obtain with guidance from Logiq). Desirable A background in public sector projects Familiarity with business analysis toolkits Experience of More ❯

XGBoost, TensorFlow, PyTorch). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with LLMs, prompt engineering, pre-training, and fine-tuning techniques. Experience with AWS Bedrock, SageMaker, and GenAI pipelines. Preferred Skills: MSc or PhD in Data Science, Computer More ❯

in infrastructure, security, or DevOps roles within high-growth or high-load environments Proven experience owning infrastructure end-to-end from architecture to production support Strong technical skills with Azure (AWS also valuable), Terraform, Kubernetes (AKS), Docker, and GitHub Actions Expertise in observability frameworks, networking, and cloud security best practices Experience with databases such as PostgreSQL, MySQL, NoSQL, plus More ❯

in infrastructure, security, or DevOps roles within high-growth or high-load environments Proven experience owning infrastructure end-to-end from architecture to production support Strong technical skills with Azure (AWS also valuable), Terraform, Kubernetes (AKS), Docker, and GitHub Actions Expertise in observability frameworks, networking, and cloud security best practices Experience with databases such as PostgreSQL, MySQL, NoSQL, plus More ❯

of methodologies such as Agile, Lean, Six Sigma, or Prosci. Strong analytical and communication skills to engage both technical and non-technical stakeholders. Experience in using task management (e.g., Azure DevOps, JIRA) HMG Security Clearance SC (or willingness to obtain with guidance from Logiq). Desirable A background in public sector projects Familiarity with business analysis toolkits Experience of More ❯

of methodologies such as Agile, Lean, Six Sigma, or Prosci. Strong analytical and communication skills to engage both technical and non-technical stakeholders. Experience in using task management (e.g., Azure DevOps, JIRA) HMG Security Clearance SC (or willingness to obtain with guidance from Logiq). Desirable A background in public sector projects Familiarity with business analysis toolkits Experience of More ❯

in infrastructure, security, or DevOps roles within high-growth or high-load environments Proven experience owning infrastructure end-to-end from architecture to production support Strong technical skills with Azure (AWS also valuable), Terraform, Kubernetes (AKS), Docker, and GitHub Actions Expertise in observability frameworks, networking, and cloud security best practices Experience with databases such as PostgreSQL, MySQL, NoSQL, plus More ❯

in infrastructure, security, or DevOps roles within high-growth or high-load environments Proven experience owning infrastructure end-to-end from architecture to production support Strong technical skills with Azure (AWS also valuable), Terraform, Kubernetes (AKS), Docker, and GitHub Actions Expertise in observability frameworks, networking, and cloud security best practices Experience with databases such as PostgreSQL, MySQL, NoSQL, plus More ❯

in infrastructure, security, or DevOps roles within high-growth or high-load environments Proven experience owning infrastructure end-to-end from architecture to production support Strong technical skills with Azure (AWS also valuable), Terraform, Kubernetes (AKS), Docker, and GitHub Actions Expertise in observability frameworks, networking, and cloud security best practices Experience with databases such as PostgreSQL, MySQL, NoSQL, plus More ❯

language models and integrating them into real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in More ❯

language models and integrating them into real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in More ❯

e.g. ImGui Understanding of multithreading techniques Experience with GPU programming e.g. CUDA Experience with a messaging framework, e.g. NATS, RabbitMQ Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP) Experience working with software containers (Docker, Podman) and container orchestration tools such as Kubernetes or Docker Swarm Personal attributes: Flexible self starter with initiative and the ability to More ❯