2,101 to 2,125 of 4,999 AWS Jobs in the UK

digital forensics. Certifications such as GCTI, GCIA, GCIH, CISSP, or equivalent (preferred). Experience working with global teams and managing security incidents across multiple regions. Knowledge of cloud security (AWS, Azure, GCP) and securing hybrid environments. Ability to liaise with internal and external security partners, vendors, and law enforcement on cyber threat matters. Boston Consulting Group is an Equal Opportunity More ❯

your opportunity About you You're an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing More ❯

in solution architecture or a closely related technical role Solid understanding of modern architecture patterns (e.g. microservices, APIs, cloud-native, event-driven design) Experience with cloud platforms (e.g. Azure, AWS, or GCP) and SaaS ecosystems Strong collaboration skills with technical and non-technical stakeholders Ability to produce clear architecture documentation Experience working in Agile or hybrid delivery environments Strong problem More ❯

endpoint security across both server and end-user environments, including Active Directory, Entra ID, Windows and RHEL hardening, and device management. - Familiarity with cloud platforms such as Azure and AWS is essential, and experience in operational technology (OT) environments is highly desirable. - Strong communication skills including the ability to conceptualise complex business and technical requirements into comprehensible models and templates. More ❯

in solution architecture or a closely related technical role Solid understanding of modern architecture patterns (e.g. microservices, APIs, cloud-native, event-driven design) Experience with cloud platforms (e.g. Azure, AWS, or GCP) and SaaS ecosystems Strong collaboration skills with technical and non-technical stakeholders Ability to produce clear architecture documentation Experience working in Agile or hybrid delivery environments Strong problem More ❯

Adaptable to a constantly changing data and business environment, with the ability to pivot strategies in response to innovative technologies, insights, or regulatory developments. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Snowflake, Spark). Strong communication skills, with the ability to distill complex data concepts into clear messages for non-technical stakeholders. Excellent More ❯

Required Qualifications, Capabilities, and Skills Strong history of working in Automation environments. Experience with frameworks such as Selenium or Playwright. Capable of working across CI/CD pipelines, including AWS DevOps, TeamCity, or Jenkins. Experience in API Testing, including REST and Postman. Prior experience in Agile environments is required. Preferably hold an ISEB or ISTQB qualification, though not essential. Preferred More ❯

models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross More ❯

and influencing engineering teams. "Nice To Have" Skills and Experience : Contributions to open-source fuzzing tools, sanitisers, or security research publications. Knowledge of distributed fuzzing at scale (GCP/AWS, Kubernetes, or bare-metal clusters). Familiarity with kernel, embedded, or firmware fuzzing (e.g., Syzkaller, QEMU-based harnesses). Background in reverse engineering, static analysis or symbolic execution. Experience integrating 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 60% travel to London offices More ❯

ve led technical delivery of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences A passion for solving technical challenges and driving practical solutions More ❯

modern data platforms, data product engineering, data marketplace architecture, data developer portals and understanding of AI/ML solutions. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in data & AI such as speaking at industry More ❯

modern data platforms, data product engineering, data marketplace architecture, data developer portals and understanding of AI/ML solutions. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in data & AI such as speaking at industry More ❯

s 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. Capgemini. Get The Future You Want. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future More ❯

core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

Experience with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding of marketing and media workflows (content creation, campaign management, social media automation) Cloud platform experience (AWS, Azure, or Google Cloud Platform) Version control proficiency (Git) and collaborative development practices Excellent communication skills with ability to explain technical concepts to business stakeholders Problem-solving mindset with focus More ❯

and incident/root-cause reviews. Requirements You may be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable More ❯

models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross More ❯