3,826 to 3,850 of 5,915 AWS Jobs

ML development using Python, TensorFlow, PyTorch, or similar frameworks. Solid understanding of data science principles, including statistical modelling, feature engineering, and algorithm selection. Experience with cloud platforms (e.g., Azure, AWS, GCP) and scalable data infrastructure. Background in data engineering, including experience with ETL pipelines, SQL, and data warehousing. Familiarity with Gen AI tools and techniques, including LLMs and prompt engineering. More ❯

resilient, production-ready solutions. You'll also mentor engineers, set quality standards, and champion best practices in testing and security. Our modern tech stack includes TypeScript, Node.js, Python, PostgreSQL, AWS, Docker, and Kubernetes, giving you the tools to innovate and deliver impact at scale. Interview Process: 30 minute introductory meeting Technical challenge, will include a shared screen session to write More ❯

modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling , automation , and BI tools A collaborative, problem-solving mindset and ability to work in a fast-paced environment Why Apply? You'll be joining More ❯

for you. Required Skills: Strong experience with Windows Server, Microsoft 365 & Active Directory Good knowledge of networking, VPNs, DNS/DHCP, and firewalls Exposure to cloud platforms (Azure/AWS) Excellent troubleshooting and communication skills Interest in FinTech, Crypto, or Web3 technologies is a huge plus Exclusive Benefits: £32,000 - £38,000 Salary Hybrid working with a vibrant Bournemouth HQ More ❯

Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems 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 ❯

work used by real customers immediately Help define the technical architecture and product roadmap Experiment with AI-driven automation and large-language-model workflows Tech: TypeScript, React, Node, GraphQL, AWS, Temporal, LangChain (They're open to Engineers from any language background, as long as you're happy in this tech environment). You’ll be a great match for this 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 ❯

work used by real customers immediately Help define the technical architecture and product roadmap Experiment with AI-driven automation and large-language-model workflows Tech: TypeScript, React, Node, GraphQL, AWS, Temporal, LangChain (They're open to Engineers from any language background, as long as you're happy in this tech environment). You’ll be a great match for this 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 ❯

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 ❯

enterprise or solution architecture, ideally within the Energy & Utilities sector. Proven track record designing and delivering large-scale, complex technology transformations for Tier 1 clients. Strong grasp of Cloud (AWS, Azure, GCP), Data, AI, and automation technologies. Experience leading architecture through all phases — from strategy and roadmap design to execution and governance. Deep understanding of sector-specific challenges and the More ❯

enterprise or solution architecture, ideally within the Energy & Utilities sector. Proven track record designing and delivering large-scale, complex technology transformations for Tier 1 clients. Strong grasp of Cloud (AWS, Azure, GCP), Data, AI, and automation technologies. Experience leading architecture through all phases — from strategy and roadmap design to execution and governance. Deep understanding of sector-specific challenges and the More ❯

of our data. DATA ENGINEER – ESSENTIAL SKILLS Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com More ❯

in a fast-moving tech or SaaS environment. Strong expertise in dbt Core , Snowflake , Python , and SQL . Experience with ETL/ELT pipelines , workflow orchestration (ideally Prefect ), and AWS (S3, ECS). Familiarity with BI governance, compliance, and CI/CD practices. A problem-solver mindset with a focus on delivering measurable business impact. Why Join Impact: Your work More ❯

driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity More ❯

driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity More ❯

quality and maintainability. Nice-to-Have Skills Familiarity with GUI frameworks such as React or Qt. Background in medical devices or regulated industries (automotive, aerospace, finance). Experience with AWS, systems engineering, and security best practices. Why Join Contribute to impactful, life-saving medical technology. Work with cutting-edge embedded and cloud-connected systems. Collaborate within a talented, cross-functional More ❯

quality and maintainability. Nice-to-Have Skills Familiarity with GUI frameworks such as React or Qt. Background in medical devices or regulated industries (automotive, aerospace, finance). Experience with AWS, systems engineering, and security best practices. Why Join Contribute to impactful, life-saving medical technology. Work with cutting-edge embedded and cloud-connected systems. Collaborate within a talented, cross-functional More ❯

understanding of Network Connectivity Advantageous Experience: · Familiar with the Elastic Stack (Elasticsearch/Kibana/Logstash) · Familiar with Devops technologies such as Ansible/Chef/Puppet · Familiar with AWS · Experience with object orientated coding. · Experience with Jira Service Desk or other relevant service desk tool · Experience with Confluence or SharePoint More ❯

understanding of Network Connectivity Advantageous Experience: · Familiar with the Elastic Stack (Elasticsearch/Kibana/Logstash) · Familiar with Devops technologies such as Ansible/Chef/Puppet · Familiar with AWS · Experience with object orientated coding. · Experience with Jira Service Desk or other relevant service desk tool · Experience with Confluence or SharePoint More ❯

in their work environments. Advanced Python for AI Machine Learning for Professionals AI tools and frameworks Automation and AI in the workplace Practical capstone project Professional certification options with AWS, Google, Microsoft Delivery Locations Train to become a software developer at our welcoming Chelmsford campus in Essex. Train to become a software developer at our East of England campus in More ❯

scalable data models and intelligent pipelines Translate lab (LIMS/ELN) and scientific workflows into cloud-native, production-ready tools Own, prototype and implement these solutions using Python, APIs, AWS Collaborate with Scientists, Product, Engineers, and AI teams to prioritise painpoints and ensure rapid product development Hold visibility and influence across both customer environments and the product roadmap Location More ❯

best practices for enterprise-wide AI and automation enablement. About You Proven track record in AI/automation architecture, enterprise integration, or data engineering. Deep expertise in cloud platforms (AWS, Azure, GCP) and associated data/AI services. Strong hands-on experience in building APIs, event-driven systems, and microservices. Familiarity with orchestration platforms (e.g., MCPs), LLMs, and AI agent More ❯

modern data ecosystems (GCP, PostgreSQL, or similar). Background in machine learning, NLP, or AI workflow automation. NICE TO HAVE: Experience integrating AI models into production systems using GCP, AWS, or Azure. Familiarity with vector databases, embedding models, or retrieval-augmented generation (RAG). Knowledge of Docker, Airflow, or MLOps pipelines. Strong understanding of AI ethics, data privacy, and responsible More ❯