176 to 200 of 486 AWS Jobs in Slough

financial industry Previous Order Management System development experience at a hedge fund, trading firm or investment bank is required Experience working on real time trading systems is a benefit AWS exposure is a benefit To discuss the role in confidence, please reach out to Rhys at rhys.nugent@capitalmarkets.ie . More ❯

testing, development, automation tools, and IT infrastructure for the ML platform team and its users. They are looking for a senior with 10+ years of experience and proficient in AWS and Terraform. Key Responsibilities: Implement testing, development, automation tools, and IT infrastructures for the ML Platform team and its users. CI/CD tools, handling configuration management. Define and establish More ❯

super focused on the culture and team development, with strong experience of leader (not just managing) in a high growth environment. You'll bring: ✅ Deep cloud & platform engineering experience (AWS, Kubernetes, CI/CD, IaC) ✅ Proven leadership of high-performing platform/infrastructure teams ✅ A strategic mindset with the ability to scale systems in complex environments ✅ Experience in high-growth More ❯

time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in More ❯

and security controls. Experience designing secure AI architectures and pipelines. Understanding of data privacy and regulatory frameworks (GDPR, ISO 27001, NIST). DevSecOps and cloud security expertise across Azure, AWS, or GCP. Professional certifications such as CISSP or CISM. Eligible for UK Security Clearance (SC). About the Company A global organisation leading innovation in AI and digital transformation, committed More ❯

Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style More ❯

tools (Excel, SQL, Python, R) Data visualization tools (Power BI, Tableau, or similar) System dependencies, resource planning, and performance metrics Migration projects (cloud, application, or infrastructure migration) Cloud platforms (AWS, Azure, GCP) and hybrid environments Desirable Skills Data migration tools and techniques IT infrastructure, virtualization, or containerization concepts Certifications in data analysis, cloud platforms, or related fields Equal Opportunities Wipro More ❯

end-to-end technical success of enterprise customers — from proof of value to renewal — ensuring adoption, performance, and measurable ROI. Key Responsibilities Architect and deploy optimized development environments across AWS, Azure, or GCP. Partner with engineering and platform teams to accelerate developer productivity. Deliver technical coaching, onboarding, and documentation for scalable success. Conduct technical audits, identify improvements, and champion product More ❯

familiarity with enterprise platforms such as SAP, Salesforce, Adobe, Oracle, or Microsoft D365. Strong capability modelling, roadmap development, and stakeholder influence at executive level. Recognised certifications such as TOGAF, AWS/Azure/GCP, or SAFe desirable. Why Apply Join a global organisation where architecture drives innovation and business change. You’ll lead high-impact programmes for major consumer brands More ❯

MSc/PhD in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a More ❯

Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team More ❯

security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience in adversarial machine learning and ethical AI governance. DevSecOps expertise for AI/ML pipelines and cloud security (Azure, AWS, GCP). Driven, detail-oriented, and adept at consulting-led sales. Business development and commercial acumen (must have for upper end of banding). Ability to obtain UK SC clearance. More ❯

and BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. Excellent communication and stakeholder management skills. Desirable: Exposure to cloud environments (AWS, Azure, GCP). Experience with underwriting workbenches or no-code model deployment tools. London Market or specialty insurance experience. Why Apply?: Join one of the most exciting growth stories in More ❯

require real-time and low latency, maintaining data feeds and developing key underlying transport protocols for data transmission. The platform has been built with C++ and C# deploying to AWS and requires high scalability and low latency - they currently handle 40 billion messages per day. Location/WFH: You'll join colleagues in the City office three days a week More ❯

threat modelling. Familiarity with key security frameworks such as NIST, ISO 27001, TOGAF, SABSA . Current certifications such as CISSP, CISM, or equivalent . Experience with cloud environments (Azure, AWS, GCP) and DevSecOps for AI pipelines. Strong understanding of data privacy and AI governance standards. Excellent communication and stakeholder engagement skills, from technical teams to C-suite. Ability to obtain More ❯

tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills More ❯

expertise with: Cisco 9500/9300 series switches, 2900/4400 routers Juniper SRX Firewalls, Cisco Meraki appliances Core technologies: BGP, OSPF, HSRP, spanning tree, VPNs, dot1x, ACI fabric AWS Direct Connect and Transit Gateways Knowledge of Cisco ISE and network automation (Terraform desirable) Excellent analytical, communication, and problem-solving skills A proactive mindset with the ability to work independently More ❯

/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid More ❯

in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading More ❯

experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets More ❯

Copilot, ChatGPT, OpenAI APIs). Exposure to AI-assisted automation in support workflows or development. Understanding of machine learning basics or awareness of AI frameworks. Experience with cloud platforms (AWS, Azure). Knowledge of scripting languages (e.g., Python) to support automation. What can Synetec Offer you: Competitive salary: £30,000 – £35,000 + performance bonus. Hybrid working: Flexible hours with More ❯

React (Remix, SSR, and modern frameworks) Backend: Node.js, REST APIs, JSON:API standards Realtime: WebSockets, CRDTs (Yjs) Tooling: Tiptap, ProseMirror, CLI, IDE extensions Infra: CI/CD pipelines, Kubernetes, AWS ✅ What You Bring: ~6+ years building complex products in collaborative, cross-functional teams. Experience working with TypeScript and strong intuition for developer experience. Proven ability to design, scale, and maintain More ❯

experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin More ❯

Strong track record in training and enabling colleagues and clients across the Snowflake ecosystem Experience in design and delivering business solutions on other modern data platforms (e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow More ❯