351 to 375 of 7,648 AWS Jobs in the UK

engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference. 2. Strategic Leadership • Develop a multi-quarter AI roadmap aligned with product milestones and … TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). • Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). • Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark More ❯

in Java Experience of containerized applications, preferably using Kubernetes or similar orchestration tools Experience with CI/CD Pipelines, microservices and distributed systems Understanding of modern cloud infrastructure - ideally AWS/Azure Desirable Familiarity with infrastructure-as-code tools such as Terraform Experience with OpenLDAP Experience in Perl Development If this sounds like an interesting opportunity, hit apply! *Only shortlisted More ❯

microservices, REST APIs, and architectural best practices. Proficiency in containerization tools (Docker, Kubernetes), and CI/CD pipelines (e.g. GitHub Actions). Exposure to cloud platforms - Azure preferred , but AWS or GCP also considered. Familiarity with monitoring/logging tools and automated testing frameworks. Additional Info: Salary: Up to £70,000 Security clearance: Must have lived in the UK for More ❯

secure automation and intelligent process automation (IPA) platforms Knowledge of common security frameworks and standards (e.g., ISO 27001, NIST, CIS Benchmarks) Certifications in cloud security, DevOps, or Kubernetes (e.g., AWS/GCP/Azure DevOps, CKA, Security+) Experience supporting or developing within automation centres of excellence (CoE More ❯

secure automation and intelligent process automation (IPA) platforms Knowledge of common security frameworks and standards (e.g., ISO 27001, NIST, CIS Benchmarks) Certifications in cloud security, DevOps, or Kubernetes (e.g., AWS/GCP/Azure DevOps, CKA, Security+) Experience supporting or developing within automation centres of excellence (CoE) JBRP1_UKTJ More ❯

tools (e.g., Jenkins, Bamboo) Automated testing frameworks Code quality tools like SonarQube Agile methodologies (Scrum, Kanban) Software design patterns Additional preferred skills include experience with machine learning, cloud deployment (AWS, Azure), containerization (Docker, Kubernetes), database systems, and configuration management tools like Ansible. Support and Benefits 25 days holiday with flexible benefits options Flexible and part-time working arrangements Comprehensive benefits More ❯

system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform - Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring tools (e.g., DataDog, Prometheus). Passion for continuous learning and using open-source technologies. Why More ❯

like Prometheus and Grafana Comfortable in fast-paced, agile environments Excellent communication and problem-solving skills Active SC or DV clearance required NICE TO HAVE Experience with cloud platforms (AWS, Azure, GCP) GitOps mindset and secure-by-design principles Background in consultancy or client-facing delivery WHY JOIN? Rapid career growth in a mission-led tech environment Flexible working & supportive More ❯

Strong background in DevOps, cloud-native development, and infrastructure-as-a-service (IaaS) Experience managing complex software systems, integrating AI tooling, and building scalable products Experience with platforms like AWS, DigitalOcean, and on-prem setups is helpful. Fluency with Agile/DevOps workflows, Jira/Confluence, and cloud-native tooling (e.g. Terraform, Kubernetes) Excellent interpersonal, leadership, and analytical skills Able More ❯

delivery communities which enable them to leverage the skills and experience of a wider set of practitioners. Key Skills Strong expertise in at least one major cloud platform e.g. AWS, Azure, GCP. Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub Actions, Azure DevOps. Capability More ❯

Founded in 2011, Fasanara is a global asset manager and technology platform. We manage c. USD 5 billion AUM (as of June, 2025) in Fintech strategies on behalf of pension funds and insurance companies in Europe and North America, and More ❯

product development roadmap. Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or More ❯

product development roadmap. Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or More ❯

Bachelor's Degree in computer science or a related discipline Nice to Haves Experience in publishing or content management. Understanding of Docker, Kubernetes, Infrastructure as Code (Helm, Terraform, CloudFormation) AWS, Aure, GCP GTK, MSYS, CMake Experience in designing, developing, and maintaining REST APIs. Java, React, Perl, Python,XSLT, NodeJS, Experience with Jira/Confluence and agile development practices Exposure to More ❯

Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps More ❯

detail. Good communication and teamwork abilities. Preferred Qualifications: Exposure to bioinformatics , computational biology, or data-driven applications. Basic knowledge of Java and backend development. Familiarity with cloud platforms like AWS, GCP, or Azure . Understanding of containerisation tools such as Docker and Kubernetes . What can you expect Our team members are bright, energetic, and dedicated-they are the driving More ❯

experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP). Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation. Strong CI/CD pipeline design experience using tools like Jenkins, GitHub More ❯

or software engineering roles. Proficiency in at least one programming language (e.g. Python, Java, Go). Familiarity with IaC/IfC tools (e.g. Terraform). Experience with cloud platforms (AWS, Azure, or GCP) and their associated data services. Hands-on experience with continuous integration and deployment systems (e.g. Jenkins, Tekton). Practical experience with containerization and orchestration technologies, particularly Kubernetes. More ❯

Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps More ❯

Contract Full Stack Engineer - AWS, Python, Terraform, DevOps Rate: £500/day IR35: Inside Location: Hybrid - 1-2 days/week in Leeds Duration: 6 months (strong extension potential) We're working with a high-profile public sector programme undergoing significant digital transformation. They're seeking an experienced Full Stack Engineer to join their cloud and platform delivery team. This … strong cloud and infrastructure experience, capable of delivering well-structured code and infrastructure as code in an agile environment. Software Engineer Key Responsibilities: Develop, manage and maintain infrastructure on AWS using Terraform Build, maintain and deploy Python-based backend services Implement CI/CD pipelines and improve automation across environments Work within a DevOps culture alongside platform, security, and delivery … teams Contribute to technical design discussions and promote engineering best practice Support and troubleshoot live services as part of a wider team Software Engineer Required Experience: Strong AWS experience (Lambda, ECS, API Gateway, CloudWatch, etc.) Proven expertise with Python for backend development or scripting Deep knowledge of Terraform for building and managing infrastructure Strong understanding of DevOps principles: CI/ More ❯

Hybrid Croydon, 3 Months, up to £640 P/D Inside IR35. Key Responsibilities Architect, implement, and manage infrastructure using Terraform , ensuring security, scalability, and reliability. Configure and optimize AWS services such as EC2, S3, Lambda, IAM, Redshift, and VPC to support business needs. Develop and maintain CI/CD pipelines using Git/GitLab and Jenkins for automated deployments … performance across environments. Essential Skills & Experience 3 to 5 years of hands-on experience as a Platform/DevOps Engineer. Strong proficiency in Terraform and IaC principles. Expertise in AWS services with practical implementation experience. Advanced knowledge of Git, GitLab CI, Jenkins , and CI/CD best practices. Hands-on experience with Docker, Kubernetes , and container orchestration. Proficiency in Python More ❯

Hybrid Croydon, 3 Months, up to £640 P/D Inside IR35. Key Responsibilities Architect, implement, and manage infrastructure using Terraform , ensuring security, scalability, and reliability. Configure and optimize AWS services such as EC2, S3, Lambda, IAM, Redshift, and VPC to support business needs. Develop and maintain CI/CD pipelines using Git/GitLab and Jenkins for automated deployments … performance across environments. Essential Skills & Experience 3 to 5 years of hands-on experience as a Platform/DevOps Engineer. Strong proficiency in Terraform and IaC principles. Expertise in AWS services with practical implementation experience. Advanced knowledge of Git, GitLab CI, Jenkins , and CI/CD best practices. Hands-on experience with Docker, Kubernetes , and container orchestration. Proficiency in Python More ❯

skills Formal training or certification on Python concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data … intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as Kafka Cloud Certifications including AWS Developer Associate, AWS Solutions Architect Associate Experience with PySpark Good understanding of event based architecture AI/ML field knowledge and trends Experience with Java, Big Data technologies will be More ❯

Principal Solution Architect .NET & AWS Manchester or Leeds | Up to £100K base + 15-30% Bonus + Up to £10K Car Allowance Hybrid One day a week in the office Shape the Future of Cloud Architecture in a Global SaaS Enterprise Our client, a global leader in their industry, is embarking on a major technology transformation. This is your opportunity … pivotal role in defining and delivering the cloud strategy that will drive innovation at scale. We are looking for an exceptional Cloud Architect with deep expertise in .NET and AWS to help modernise a complex technology estate, designing cutting-edge cloud-native solutions that will power mission-critical applications across multiple business domains. The Opportunity This is not just another … make a tangible impact in a truly enterprise-scale environment , working with high-traffic applications, distributed systems, and cloud-first engineering teams . You will: Define and lead the AWS cloud strategy for large-scale SaaS platforms. Architect and implement cloud-native, event-driven, microservices-based solutions . Drive modernisation initiatives , replacing legacy systems with state-of-the-art cloud More ❯

Contract Opportunity: Senior AWS Machine Learning Data Engineer Location: London | Duration: 6 Months (Extension Possible) | Start Date: ASAP Rate: Up to £600 a day (Inisde IR35) Are you a cloud-native data engineer with a passion for building intelligent systems? I'm looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis … grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and … to align ML engineering efforts with business needs ? What We're Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform More ❯