2,676 to 2,700 of 5,158 AWS Jobs in the UK

PAM, including leadership roles. Technical Skills: Hands-on experience with tools like SailPoint, Saviynt, CyberArk, Okta, Azure AD, and BeyondTrust. Cloud Expertise: Proficient in cloud IAM/PAM practices (AWS, Azure, GCP). Reward & Benefits - A fair and competitive salary evaluated against market data, annual discretionary bonus scheme, Medicash healthcare scheme, 29 days annual leave plus bank holidays and enhanced More ❯

. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 20%-30% travel to London More ❯

SQL skills required Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering/random forest is desirable Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and More ❯

systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

recurring revenue (ARR) by more than 100 percent, doubled its customer base, doubled the number of employees, and is now valued at over $1B. - Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst - $267 million in total funding. Investors include NightDragon, Greenspring Associates, March Capital, Ten Eleven Ventures, Intel Capital Corporation, NGP Capital, DFJ Growth, Dell Technologies Capital More ❯

and collectively improve detection efficacy. Automate data extraction, in-depth analysis, and the reporting of detection performance and efficacy. Query and analyse large datasets utilise platforms such as Clickhouse, AWS Athena etc. identify detection gaps, measure scanner effectiveness, and drive data-informed improvements. Document observed Tactics, Techniques, and Procedures (TTPs) related to email-delivered threats and communicate them internally or More ❯

maturity. Strong architectural leadership and the ability to align technical design with business goals. Proven ability to steer technical discussions and decision-making processes. Familiarity with MS Azure and AWS platforms; Google Cloud experience is also beneficial. Experience working with GitHub for repository and metadata management. Understanding of enterprise architecture principles and practices. Qualifications & Certifications A degree or equivalent qualification More ❯

reducing risks in our Cloud configurations What you'll need Experience in a Cloud native environment and automation Experience designing, implementing and managing security capabilities at scale 5+ years AWS, 3+ years IAC (Terraform) and automation (Python) experience WAF, IAC, SCPs, Secrets Management 5-8 years of experience within Cloud Security Experience working within SaaS companies Experience with incident handling More ❯

. Strong statistical knowledge, including hypothesis testing, predictive modelling and causal analysis. Proficient in SQL, R and/or Python; strong Excel skills; experience with cloud platforms ( BigQuery , GCP, AWS). Excellent communication skills, able to translate complex concepts for both technical and non-technical audiences. Demonstrated ability to develop and present data-driven insights that inform strategy and drive More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯

Digital Enablement Bachelor's degree required; advanced degree (MBA, MS, etc.) preferred Background in management consulting, cloud strategy, or large-scale tech transformation Experience working in or with hyperscalers (AWS, Azure, GCP) or cloud-focused consultancies is a plus Strong communication, project management, and stakeholder engagement skill Proficiency in PowerPoint, Excel, and collaboration tools (e.g., Miro, Slack) Familiarity with cloud More ❯

. Hands-on experience with SIEM platforms (Splunk, Microsoft Sentinel, Elastic, etc). Familiarity with other security tools (EDR, Vulnerability Management, Firewalls, IDS). An understanding of cloud platforms (AWS, Azure, GCP) and relevant Security principles. A desire to be continuously upskilling your Security knowledge and skills. Ability to work under pressure and manage multiple priorities in a dynamic environment. More ❯

analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have the tooling and culture to support this. Responsibilities Lead data science projects that improve product discovery features More ❯

business users and engineers Excellent understanding of data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the More ❯

efficiency (maximum test coverage for the minimum number of tests for the fastest test time). Produce reports on system quality and metrics on test cases and defects on AWS Jira/Management tools. Be recognized as an expert of key technologies e.g. automation, scripting, develops within the team. Demonstrate problem solving abilities for complex problems and devise/design More ❯

field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience Familiarity with enterprise sales processs within the pharmaceutical sector Experience with AWS application stack Competitive Salary and equity in a fast-growing company. Supportive, team-oriented culture of continuous improvement. Generous paid time off (PTO). Flexible working arrangements - Remote work. We More ❯

Have: Must-Haves: 5+ years recruiting engineers at high-growth startups or tech companies Track record of hiring for our modern tech stacks (we use TypeScript, React, Node.js, PostgreSQL, AWS) Ability to credibly discuss technical requirements with engineering leaders Data-driven approach to measuring and improving hiring outcomes Nice-to-Haves: Experience in B2B SaaS or enterprise software companies Built More ❯

hypothesis testing. Experience working with large datasets and deriving actionable insights. Proficient in Lucene query syntax for querying and analysing data in OpenSearch. Strong SQL skills for working with AWS Quicksight to create reports and visualisations. Advanced Excel capabilities for quick data manipulation and supplementary analysis. Experience working with Google Analytics for user behaviour tracking and performance metrics. Familiarity with More ❯

in high-growth, product-led technology companies Proven track record of leading complex re-platforming or large-scale architectural transformation projects Deep understanding of software architecture, cloud infrastructure (e.g. AWS), security, and DevOps best practices Proven ability to build and scale high-performing engineering teams and systems Strong collaboration skills with experience working closely with product, design, and commercial teams More ❯

5+ years of professional software engineering experience The following experience would be a bonus: - Experience working with LLM agents or LLM evaluations - Infosecurity/cybersecurity experience - Experience working with AWS - Interest in AI Safety We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the More ❯

Cloud Infrastructure Engineer, AWS, Linux, COR7296 Are you a versatile Cloud Infrastructure Engineer/AWS Cloud Engineer with a passion for cloud-native infrastructure, automation, and hands-on systems administration? My client, an Oxfordshire-based scale-up in the Medtech sector is seeking an AWS Cloud Engineer/Cloud Infrastructure Engineer to join their growing team. This role is ideal … where modern DevOps practices meet robust system-level thinking - blending Infrastructure-as-Code, automation, and cloud architecture with traditional systems expertise. The Role As a Cloud Infrastructure Engineer/AWS Cloud Engineer you will work in a project-focused capacity, playing a critical role in building, deploying, configuring, securing, and automating the infrastructure that supports a high-availability platform, working … predominantly within AWS, using both Terraform and Ansible. Additionally, whether an area in which you already have experience, or one in which you would like to develop, the Cloud Infrastructure Engineer/AWS Cloud Engineer will develop automation and tooling in Python to support infrastructure operations and CI/CD processes, whilst also working to troubleshoot and resolve issues across More ❯

What You'll Need to Succeed To excel in this role, you'll bring a strong technical foundation and a collaborative, proactive mindset. Key requirements include: Proven experience with AWS and cloud-native technologies Proficiency in containerisation and orchestration (Kubernetes, EKS, Docker) Experience with Helm Charts, Linkerd, and serverless architectures Strong skills in Infrastructure as Code (Terraform, Ansible, CloudFormation) CI … development using Azure DevOps Scripting and automation with Bash, Python, Go, PowerShell Monitoring and logging tools such as Prometheus, Grafana, Dynatrace Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration Ideally, AWS DevOps Engineer certification Exposure to Ping Identity (ForgeRock) is also desirable Business More ❯

What You'll Need to Succeed To excel in this role, you'll bring a strong technical foundation and a collaborative, proactive mindset. Key requirements include: Proven experience with AWS and cloud-native technologies Proficiency in containerisation and orchestration (Kubernetes, EKS, Docker) Experience with Helm Charts, Linkerd, and serverless architectures Strong skills in Infrastructure as Code (Terraform, Ansible, CloudFormation) CI … development using Azure DevOps Scripting and automation with Bash, Python, Go, PowerShell Monitoring and logging tools such as Prometheus, Grafana, Dynatrace Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration Ideally, AWS DevOps Engineer certification Exposure to Ping Identity (ForgeRock) is also desirable Business More ❯