they inter-relate, such as development, execution, integration and operations architectures; Proven experience and knowledge working with one or more Cloud platforms - AWS, Azure, GCP, IBM and their API gateway or iPaaS offerings; An understanding of the concept of non-functional requirements (ilities) and can relate these to More ❯
Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity More ❯
specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in AI systems • Excellent More ❯
containerised applications, effectively leveraging container orchestration platforms such as Kubernetes. Cloud Expertise: Demonstrable ability to architect and implement solutions in AWS (experience with Azure or GCP is a bonus). Infrastructure as Code: Extensive experience with HashiCorp Terraform (or similar tools like Pulumi or AWS CloudFormation) for managing More ❯
practices for quality, agility and security. Proven ability to manage multiple projects and conflicting priorities. Experience with public cloud environments such as AWS, Azure or Google Cloud. Experience with microservices architecture and containerization. Familiarity with EDA and semiconductor design process. Ability to explain technical concepts and analysis implications More ❯
algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI/CD with tools like Jenkins, Spinnaker. Passionate about driving a modern and inclusive culture Able to More ❯
containerised applications, effectively leveraging container orchestration platforms such as Kubernetes. Cloud Expertise: Demonstrable ability to architect and implement solutions in AWS (experience with Azure or GCP is a bonus). Infrastructure as Code: Extensive experience with HashiCorp Terraform (or similar tools like Pulumi or AWS CloudFormation) for managing More ❯
a focus on production-level quality. Strong problem-solving skills and a creative mindset. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Benefits: Participation in the company's employee share options plan. 25 days holiday, plus bank holidays. Flexible working from home policy. More ❯
promoting designs through Technology Authority forums and exposure to the wider Architecture governance processes. Nice to Have Exposure to cloud-native architecture (AWS, Azure, or GCP). Experience in Agile or hybrid delivery environments. TOGAF or similar architecture certification. Knowledge of insurance ecosystem technologies (CRM, microservices architecture data More ❯
company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi-skilled team to assemble a fully scalable ML solution. Then there More ❯
an optimal work environment. Skills & Experience: Technical Leadership – Proven track record of leading large-scale engineering transformations. Cloud & Data Expertise – Experience with AWS, Azure, GCP, ETL pipelines, and scalable data architectures. DevOps & CI/CD – Strong knowledge of GitOps, Kubernetes, Terraform, Jenkins, Airflow, and related tools. Strategic Thinking More ❯
Target operating models, Solution Estimation and Planning or Architecture Governance (ideally in an Agile context) Experience of cloud computing platforms, eg, AWS, GCP, Azure, and distributed computing environments deployed for realizing insurance specific solutions. A strong technical background with demonstrable expertise in applying the same in multiple solutions More ❯
governance frameworks (e.g., DAMA-DMBOK). Technical Skills (Preferred): Experience with MDM and data cataloging tools, data modeling tools, cloud platforms (e.g., AWS, Azure, GCP), and data transformation tools (e.g., dbt ). Cross-Functional Collaboration: Demonstrated ability to collaborate effectively with engineering, DevOps, data modeling , and visualization teams. More ❯
e.g., SAP PowerDesigner, EA Sparx). Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with data integration and ETL tools (e.g., Talend, Informatica). Excellent analytical and technical skills. Excellent planning and organizational skills. More ❯
Ability to juggle tasks and projects in a fast-paced environment - Customer obsessed PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but More ❯
leadership and staff development. Skills we can't do without: Leadership, problem-solving, and analytical skills. Experience with cloud and application technologies (AWS, Azure, Google, Salesforce, Pega, ServiceNow, SAP). Proficiency in at least one hyperscaler platform. A good understanding of, or certification in, TOGAF (or equivalent framework More ❯
knowledge of REST, JSON and XML Some scripting experience, ideally with Java or JavaScript/Python Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, continuous integration and continuous delivery processes as well as experience with More ❯
will use .NET and C# to build out the back end that feeds through to the front-end presentation layers. Cloud Experience (ideally Azure)- You will need a solid understanding of cloud fundamentals for the wider migration to the cloud as part of our technical transformation. SQL- You More ❯
Accreditation Council for Graduate Medical Education
calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or More ❯
TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experienced with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems (e.g., Git). Excellent communication and problem-solving skills. Direct availability to start More ❯
designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with More ❯
Relevant work experience, including internships, full time industry experience or as a researcher in a lab. Experience with cloud platforms such as AWS, Azure, Google Cloud Platform Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/ More ❯
to haves: Experience building underwriting teams: Proven success in recruiting and mentoring team members to drive underwriting excellence. Familiarity with Cloud solutions (AWS, Azure, GCP): Understanding of modern hosting and deployment environments. Mentorship capabilities: A track record of coaching individuals and fostering professional growth. Deep knowledge of underwriting More ❯
a positive support experience. Bonus Points Cloud Platform Experience: Experience working with and supporting applications deployed on major cloud platforms such as AWS, Azure, or GCP is highly desirable. Advanced Linux Administration Skills: Familiarity with Linux system administration tasks, including package management, service configuration, performance monitoring, and basic More ❯
have skills (that can also be learned on the job!): Experience using PySpark. Some experience using cloud-based platforms for data analysis (e.g. Azure Synapse). Some understanding of data engineering and machine learning project lifecycles. Personal profile: Independent and self-directed individuals that thrive when faced with More ❯
