1,676 to 1,700 of 2,776 AWS Jobs in the UK

and adjust security posture accordingly. Communicate security risks, approaches, and resolutions to both technical teams and business stakeholders. Key Requirements of the Cloud Security Engineer: Hands-on experience with AWS and a good understanding of cloud-native security principles. Experience working with Terraform as IaC. Previous exposure to cloud engineering/platform roles and Cloud Security Engineering positions Understanding of More ❯

multiple industries and setups. Tech you’ll work with: Windows Server (2016/2019/2022), Active Directory, Group Policy Office 365, Exchange, SharePoint, Teams Azure (IaaS, AAD), basic AWS exposure a bonus Networking: switches, firewalls, routers (Cisco, Ubiquiti, DrayTek etc.) Backup solutions: Datto, Veeam, Acronis RMM tools: ConnectWise, Autotask, or similar What we’re looking for: Solid background in More ❯

reporting Must have technical skills: Strong knowledge of InSAR processing techniques Competent scripting/Python Quality assurance and verification know how Nice to have technical skills: Cloud deployment experience (AWS, Azure) Experience working in UNIX environments In-depth technical InSAR knowledge Specific InSAR experience in infrastructure, dam, mining or other asset monitoring Programming experience, e.g. Python Experience in large scale More ❯

reporting Must have technical skills: Strong knowledge of InSAR processing techniques Competent scripting/Python Quality assurance and verification know how Nice to have technical skills: Cloud deployment experience (AWS, Azure) Experience working in UNIX environments In-depth technical InSAR knowledge Specific InSAR experience in infrastructure, dam, mining or other asset monitoring Programming experience, e.g. Python Experience in large scale More ❯

reporting Must have technical skills: Strong knowledge of InSAR processing techniques Competent scripting/Python Quality assurance and verification know how Nice to have technical skills: Cloud deployment experience (AWS, Azure) Experience working in UNIX environments In-depth technical InSAR knowledge Specific InSAR experience in infrastructure, dam, mining or other asset monitoring Programming experience, e.g. Python Experience in large scale More ❯

experience managing a team. Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, modern data science tools/platforms and BI tools. Experience enabling data accessibility and self service analytics at scale. More ❯

stakeholder management skills. Nice-to-Have Qualifications Industry certifications such as GICSP, CISSP, CCNP, or ISA/IEC 62443 . Experience integrating OT with cloud platforms (e.g., Azure IoT, AWS Greengrass ). Familiarity with digital twin and smart manufacturing technologies . Exposure to SCADA, DCS, and PLC systems . Previous experience conducting plant surveys and site assessments . What We More ❯

knowledge of EUC technologies including: Windows/macOS, Microsoft 365, Azure AD Citrix/VMware Horizon, VDI Intune, SCCM, Autopilot Scripting (PowerShell, Bash) Strong understanding of cloud platforms (Azure, AWS, GCP) and hybrid environments. Security & Governance: Experience implementing secure EUC environments with zero-trust architecture. Familiarity with regulatory frameworks and compliance standards (e.g., GDPR, ISO 27001). Leadership & Communication: Proven More ❯

knowledge of EUC technologies including: Windows/macOS, Microsoft 365, Azure AD Citrix/VMware Horizon, VDI Intune, SCCM, Autopilot Scripting (PowerShell, Bash) Strong understanding of cloud platforms (Azure, AWS, GCP) and hybrid environments. Security & Governance: Experience implementing secure EUC environments with zero-trust architecture. Familiarity with regulatory frameworks and compliance standards (e.g., GDPR, ISO 27001). Leadership & Communication: Proven More ❯

Engineering, Computer Science, or related field Strong commercial acumen and a data-driven, strategic mindset Excellent stakeholder management and communication skills Familiarity with Agile/Scrum, SaaS platforms (e.g., AWS, Azure), and product tools like Jira Desirable: Knowledge of wireless communications (GPRS, NB-IoT, LTE-M) Experience with industrial protocols (Modbus, DNP3, SDI-12) Background in telemetry, IT networks, IoT More ❯

practices in testing, data governance, and observability. Lead roadmap planning and explore emerging technologies (e.g. GenAI). Ensure operational stability and support incident resolution. Tech Stack Python , SQL , Airflow , AWS , Fivetran , Snowflake , Looker , Docker (You don't need to tick every box - if you've worked with comparable tools, that's great too.) What We're Looking For Proven track More ❯

. Strong written and verbal communication, with the ability to produce clear technical documentation and reports. Relevant certifications (e.g., CISSP, GIAC, SC-200) are highly desirable. Cloud security experience (AWS and/or Azure) preferred. Willingness to participate in 24/7 operations or on-call rotations. If you’re passionate about protecting organisations and leading from the front in More ❯

to work in the UK and able to pass background checks. Desirable: Certifications such as CRISC, CISSP, CISA, or ISO 27001 Lead Auditor. Familiarity with SaaS/cloud platforms (AWS, Azure, GCP). Understanding of secure software supply chains (SBOM, SLSA). What's on Offer £50,000 - £55,000 base salary 25 days annual leave + public holidays (increasing More ❯

to work in the UK and able to pass background checks. Desirable: Certifications such as CRISC, CISSP, CISA, or ISO 27001 Lead Auditor. Familiarity with SaaS/cloud platforms (AWS, Azure, GCP). Understanding of secure software supply chains (SBOM, SLSA). What's on Offer 50,000 - 55,000 base salary 25 days annual leave + public holidays (increasing More ❯

to work in the UK and able to pass background checks. Desirable: Certifications such as CRISC, CISSP, CISA, or ISO 27001 Lead Auditor. Familiarity with SaaS/cloud platforms (AWS, Azure, GCP). Understanding of secure software supply chains (SBOM, SLSA). What's on Offer £50,000 - £55,000 base salary 25 days annual leave + public holidays (increasing More ❯

to work in the UK and able to pass background checks. Desirable: Certifications such as CRISC, CISSP, CISA, or ISO 27001 Lead Auditor. Familiarity with SaaS/cloud platforms (AWS, Azure, GCP). Understanding of secure software supply chains (SBOM, SLSA). What's on Offer 50,000 - 55,000 base salary 25 days annual leave + public holidays (increasing More ❯

e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters More ❯

skills. Requirements: C# Knowledge of developing 3D or CAD applications Strong background in Mathematics, Engineering, Physics or Gaming Industry Technologies used: C# and ASP.Net Core Open Cascade SQL Server AWS - Neptune/Dynamo/Postgres The Company This is a truly exciting, unique and innovative specialised software provider run by individuals who are passionate and open minded about technology and More ❯

improve utilisation. Proactively monitor and optimise virtual machine disk usage , including rightsizing and performance tuning. Support hybrid infrastructure by managing storage across on-premise and cloud environments (e.g., Azure, AWS). Work with infrastructure, platform, and DevOps teams to ensure consistent storage strategies and practices. Analyse storage trends and produce reports to support capacity planning and cost optimisation. Contribute to More ❯

experience with statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you'll get in return You'll be joining a highly experienced team doing cutting-edge work to support More ❯

experience with statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you'll get in return You'll be joining a highly experienced team doing cutting-edge work to support More ❯

ML. What You Bring Strong background in applied machine learning, bayesian statistics, and causal inference. Proficiency in Python and ML frameworks such as PyTorch. Experience with cloud infrastructure (e.g., AWS, GCP). A clear, concise communication style - clear examples given when asked, not word salad. An adaptive mindset and comfort working in fast-changing environments. A deep motivation to contribute More ❯

code and code reviews, your decisions, and your drive to continuously improve how they build. What You'll Own Audit and evaluate the current stack (MERN stack, Node JS, AWS, React JS, Flutter) Define the technical roadmap and system architecture across mobile and internal tools Build and launch secure, modular V1 versions of assets Lead major technical decisions (ADR culture More ❯

and a Microsoft 365 fundamentals qualification. Get an introduction to Windows, Linux and PowerShell. Tools and technologies learned: Learners will learn to use Microsoft Azure, Microsoft 365, Windows 10, AWS, Linux, PowerShell. Upon successful completion of this apprenticeship, you may have the opportunity to join the business permanently or progress onto a more advanced apprenticeship. Apprenticeship Standard Information communications technician More ❯

Collaborate with teams to define relevant metrics, thresholds, and KPIs. · Build, maintain, and productionise machine learning and statistical models using Python and PySpark. · Deploy monitoring tools and models using AWS infrastructure. · Create scalable frameworks for future monitoring requirements across products and teams. · Investigate and troubleshoot anomalies in the data pipeline. · Promote data quality and monitoring best practices across the business. More ❯