76 to 100 of 220 AWS Jobs in Scotland

managing distributed computing management systems, like SLURM, LSF. Knowledgeable in both relational and non-relational databases (e.g., SQL, MongoDB). Familiarity with cloud platforms (AWS, Azure). Strong analytical and troubleshooting skills, with the ability to optimize complex data processing workflows. Excellent interpersonal skills, capable of effectively collaborating with both More ❯

RESTful architecture and microservices. Skilled in designing secure internal and external APIs, with strong command over performance tuning techniques in Spring Boot. Proficient in AWS cloud services and Java design patterns. Proven track record in building scalable, reliable systems within Banking & Financial domains. More ❯

Engineering Manager - Onsite London - Python , AWS, CI/CD, Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and More ❯

Engineering Manager - Onsite London - Python , AWS, CI/CD, Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and More ❯

Engineering Manager - Onsite London - Python , AWS, CI/CD, Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and More ❯

of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on large scale agile transformation projects • You More ❯

high-performance team environment. Willingness to travel to events, tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team More ❯

high-performance team environment. Willingness to travel to events, tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team More ❯

high-performance team environment. Willingness to travel to events, tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team More ❯

science solutions. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

time streaming applications. Strong problem-solving skills and ability to work effectively in a fast-paced, collaborative environment. Experience with cloud platforms such as AWS, Azure, or GCP is a plus. Excellent communication skills and ability to work independently in a remote setting. Benefits: Competitive salary of £55,000 per More ❯

difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon's vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities Develop machine learning algorithms for high-scale recommendations More ❯

frameworks such as LangChain , Semantic Kernel , or similar. Prior experience working with AI evaluation techniques and agent orchestration . Understanding of cloud AI platforms (AWS, Azure, or GCP). Background in TDD/Agile development in a high-compliance environment is preferred Please apply with an up to date CV More ❯

4+ years of experience building high-impact web products Strong knowledge of core technologies like React, Next.js, Tailwind, TypeScript; backend experience (e.g. Python, Node.js, AWS) is a bonus Deep product instincts-you care about clean UI, intuitive UX, and building for user outcomes Practical understanding of security, scalability, and technical More ❯

full potential. Requirements: Strong experience with both SQL and Python Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following More ❯

to detail ⸻ 🌟 Nice-to-Have (But Not Required) : • Experience with data pipeline tools like Apache Airflow, DBT, or Kafka • Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory) • Exposure to Spark, Hadoop, or other big data frameworks • Personal or academic data engineering projects More ❯

systems, and vulnerability assessment tools, and their configuration options. Familiarity with cloud security principles and best practices, including securing cloud-based infrastructure and services (AWS, Azure, or Google). Experience of DevSecOps. Experience of research in technology trends and ways to secure those technologies. Experience with automated deployment techniques and More ❯

Reading possible. Requirements (must-haves in bold): Hands-on experience with Helm, Kubernetes, and container orchestration tools. Linux, networking, and cloud environments (vSphere, OpenStack, AWS, etc.). Experience with scripting languages such as Python, Bash, or Ansible. English (to be able to interact with the customer). Strong troubleshooting skills. More ❯

haves in bold): Experience on OpenShift, Kubernetes, Dockers, Git Hub, JIRA and related Agile/DevOps Tools. Linux, networking, and cloud environments (vSphere, OpenStack, AWS, etc.). Experience with scripting languages such as Python, Bash, or Ansible. English (to be able to interact with the customer). Experience delivering Network More ❯

Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural language processing (NLP) techniques. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with version control systems (e.g., Git). More ❯

Their tech stack includes the following + more: React/TypeScript (You must be strong on front end development) Java Hybrid On-Prem and AWS deployments. Salary is from £65,000 - £90,000 dependent on experience, plus very strong bonus. For immediate consideration, apply now. More ❯

in large technical teams, with an Agile and product-focused mindset. Expertise in engineering culture, DevSecOps, and automation. Experience with public cloud platforms (e.g., AWS, GCP, Azure). Strategic thinking, innovation, and thought leadership in a technical context. Ability to measure, mentor, and uplift engineering maturity across multiple teams. What More ❯

in large technical teams, with an Agile and product-focused mindset. Expertise in engineering culture, DevSecOps, and automation. Experience with public cloud platforms (e.g., AWS, GCP, Azure). Strategic thinking, innovation, and thought leadership in a technical context. Ability to measure, mentor, and uplift engineering maturity across multiple teams. What More ❯

experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and data warehousing solutions. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Benefits: Competitive salary and performance-based bonuses. Comprehensive More ❯

in large technical teams, with an Agile and product-focused mindset. Expertise in engineering culture, DevSecOps, and automation. Experience with public cloud platforms (e.g., AWS, GCP, Azure). Strategic thinking, innovation, and thought leadership in a technical context. Ability to measure, mentor, and uplift engineering maturity across multiple teams. What More ❯