426 to 450 of 774 AWS Jobs in Berkshire

stakeholders, vendors, and regional IT teams. Excellent project management, organisational, and communication skills. Familiarity with PRINCE2, PMP, or Agile delivery methodologies. Security/cloud certifications (CISSP, CISM, CompTIA Security+, AWS/Azure Security) desirable. Knowledge of NIST CSF, ISO 27001, or CIS Controls. Education sector experience is a plus. More ❯

on their next phase of expansion. You'll be 100% hands-on, with the opportunity to step into a leadership role as the team scales. Tech Stack - Python, FastAPI, AWS, PostgreSQL, NumPy, Pandas What You’ll Be Doing - Designing, building, and maintaining scalable backend systems for AI-driven healthcare solutions. Working closely with the ML engineers to integrate AI/ More ❯

You will be involved in challenging, complex development for industry leading companies, as well as smaller start up projects Centered on a tech stack that includes C# .NET, React AWS, and event-driven microservices, this position is tailored for engineers ready to thrive in modern cloud-based ecosystems. As an Engineer you will design scalable systems, write maintainable and testable More ❯

Strong background in security governance, audits, and risk management. Hands-on approach, able to build frameworks in a scaling environment. Excellent communication and documentation skills. Familiarity with cloud security (AWS/Azure/GCP) preferred. Offer Day rate: £350 Outside IR35 Flexible remote or hybrid setup. 6-month engagement Opportunity to shape security foundations in a high-impact tech company. More ❯

systems to ensure data flow continuity. Active and Passive Network Assets: Hands-on experience working with optical networks, switches, fibre optics, and related infrastructure. Cloud Platforms: Extensive knowledge of AWS, GCP, or Azure to support cloud-based initiatives in telecommunications. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic More ❯

systems to ensure data flow continuity. Active and Passive Network Assets: Hands-on experience working with optical networks, switches, fibre optics, and related infrastructure. Cloud Platforms: Extensive knowledge of AWS, GCP, or Azure to support cloud-based initiatives in telecommunications. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic More ❯

fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Proficiency in full-stack development (Java/Python/NodeJS/Typescript), including cloud technologies (AWS ideally). They want someone who is always ready to code when needed. Familiarity with AI and Machine Learning, and a passion for using them to shape the future of More ❯

systems to ensure data flow continuity. Active and Passive Network Assets: Hands-on experience working with optical networks, switches, fibre optics, and related infrastructure. Cloud Platforms: Extensive knowledge of AWS, GCP, or Azure to support cloud-based initiatives in telecommunications. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic More ❯

preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset More ❯

discussing APIs, data models, and cloud/SaaS architecture. Excellent communication and stakeholder management skills. A commercial mindset—connecting tech delivery to business value. Nice to have: Experience with AWS or other cloud platforms. Exposure to Data Warehouse implementation or AI/ML initiatives. Familiarity with market initiatives (ACORD standards, bordereaux management, etc.). Why apply? You’ll join a More ❯

Hands-on experience with Spark or Databricks • Ability to lead projects autonomously and prioritise effectively • Experience developing bespoke software components for data pipelines • Familiarity with cloud-based architectures (e.g. AWS) • Experience working with large-scale relational databases (e.g. PostgreSQL) TO BE CONSIDERED... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com . By applying to this role More ❯

one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is a great opportunity to join a world-class ML/AI team that will have a direct impact on the company's revenue. More ❯

Looking For from the Lead Enterprise Architect Proven experience as an Enterprise Architect focused on technology and platform strategy. Hands-on experience with legacy system modernisation, cloud platforms (Azure, AWS, GCP), and IT transformation programmes. Experience leading or supporting M&A integration projects, including system consolidation and rationalisation. Strong stakeholder management and influencing skills, capable of working with senior executives. More ❯

in system administration with a focus on cybersecurity. Proficiency with SIEM tools, firewalls, and endpoint protection platforms. Strong understanding of networking protocols, Linux/Windows environments, and cloud security (AWS/Azure). Familiarity with security frameworks such as ISO 27001, NIST, or CIS Controls. Relevant certifications (e.g., CompTIA Security+, CISSP, CISM) are highly desirable. If you are having difficulty More ❯

Design & Architecture Design end-to-end GenAI solutions using LLMs, multimodal models, and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. More ❯

Deep expertise in portfolio management, IBOR/ABOR, multi-asset data management, performance/risk, and regulatory reporting . Enterprise or solution architecture background with recognised credentials (e.g. TOGAF, AWS Solutions Architect, Azure Architect Expert ). Strong experience in cloud migration, SaaS delivery, and enterprise data platforms (data lakes, data mesh, or equivalent). Comfortable leading business transformation and operating More ❯

or backend development background Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow Experience deploying ML models into production Familiarity with MLOps tools and cloud environments (AWS, GCP, or Azure) A genuine interest in using AI to solve real-world problems What’s in it for you Salary: up to £130,000 High-impact role: work in More ❯

assessments, or leading capability evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. Reporting Structure • Reports to: Principal Consultant • Collaborates with: Consulting Analyst , Program Lead , Training More ❯

TCF, IAB frameworks, ID graphs, IDFA/GAID) Tagging & tracking stacks (GTM, Tealium, server-side tagging, event streams) Media platforms, analytics, attribution and measurement solutions Knowledge of cloud environments (AWS/GCP/Azure) and event-driven data pipelines. Contract Details Contract: Outside IR35 Location: London & remote hybrid Industry: Consumer electronics/digital/marketing technology How to Apply If More ❯

Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or Azure environments Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting More ❯

for querying, validation, and analysis. Proven experience gathering and translating business requirements in data-focused environments. Familiarity with data modelling, ETL processes, and pipeline design. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools (Power BI, Tableau, Qlik). Understanding of version control (e.g., Git) and collaborative development workflows. Experience or knowledge of Foundry More ❯

experience in pipeline migration & optimization Excellent communication skills—technical and non-technical audiences Comfortable in fast-paced, client-facing environments Nice-to-Haves: Unity Catalog experience Certifications (Databricks, Azure, AWS) Industry experience in manufacturing or supply chain Exposure to pre-sales or proposal work 🌟 Why Join Us? Be part of a fast-growing team with a clear vision Work on More ❯

variation in hours may apply given support requirements). Nice to have Certifications such as Microsoft MCSA/MCSE, CompTIA Server+, ITIL Foundation. Experience of cloud platforms (e.g. Azure, AWS) or hybrid infrastructure. Knowledge of scripting (PowerShell) or automation tools. Previous exposure to procurement, vendor management or hardware lifecycle programmes. What’s on offer An opportunity to work within a More ❯

stakeholders to manage cloud-based SAP landscapes efficiently. Role and Responsibilities Manage and maintain SAP systems (S/4HANA, ECC, BW, PO, SRM, Solution Manager, etc.) in a Hyperscaler (AWS, Azure, GCP) or Private Cloud (RISE) environment. Perform SAP system installation, upgrades, and migrations in cloud environments. Handle system monitoring, performance tuning, and troubleshooting of SAP landscapes. Apply SAP support More ❯

architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s machine learning infrastructure. Again this is a superb opportunity to join a business that truly value innovation and there will be lots of opportunity for future growth and development More ❯