1,951 to 1,975 of 3,856 Digital & IT Jobs

centralised data lakeUsing threat intelligence sources to enhance and tune existing detection capabilitiesWorking with our internally developed interface backed by SIEM tools from Azure, Elastic and AWSWho are we looking for? We are seeking a motivated and capable student currently enrolled in a Cyber Security degree programme with ...

including clinical and real-world datasetsFamiliarity with machine learning techniques such as NLP and deep learning, applied to biomedical dataKnowledge of cloud technologies (Azure, AWS or GCP) and model deployment using MLOps frameworksStrong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow ...

Computer Science/Software Engineering, or equivalent practical experience. Professional Certifications: Professional developer or cloud architecture credential (e.g. AWS Certified Solutions Architect, Azure Developer Associate); Agile/SAFe certification (e.g. SAFe Practitioner/Agile Software Engineer); ITIL Foundation. We believe strong connections and community ...

anomalies. Core Technical Skills : Zero Trust: NCSC and NIST frameworks, micro-segmentation, software-defined perimeters and context-aware access. Cloud and infrastructure security: Azure, AWS, and on-premises virtualised infrastructure. Infrastructure as Code: Terraform, Ansible and CloudFormation. Container security: Docker, Kubernetes, Istio, Prisma Cloud and Trivy. Networking ...

Desirable: Experience working for or with HMG, Defence or other CNI sectors (in a technical role) Experience using Cloud platforms, ideally AWS and Azure Experience with Docker and micro-services orchestration technology Knowledge of, or experience with Cross Domain technology Knowledge of, or experience with APIs ...

Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product ...

communication with both technical and non-technical audiences Experience delivering digital services in UK central government or regulated environments Desirable TOGAF, or AWS, Azure or GCP architecture certifications Familiarity with the Technology Code of Practice and GOV.UK Service Standard Our Commitment to Diversity & Inclusion At Scrumconnect Consulting ...

Computer Science/Software Engineering, or equivalent practical experience. Professional Certifications: Professional developer or cloud architecture credential (e.g. AWS Certified Solutions Architect, Azure Developer Associate); Agile/SAFe certification (e.g. SAFe Practitioner/Agile Software Engineer); ITIL Foundation. We believe strong connections and community ...

certifications would be beneficial, including: CISSP – Certified Information Systems Security ProfessionalCCSP – Certified Cloud Security ProfessionalSABSATOGAFOSCP/OSWPCRTO/CRTEGXPNCREST CRT/CCTMicrosoft Certified: Azure Cybersecurity Architect ExpertAWS Certified Security – SpecialtyOther recognised cybersecurity, security architecture or technical security certificationsReference: AMC/RHU/SSA#ryhuApply for this vacancyYour CV will ...

both technical and non-technical stakeholders. A pragmatic mindset, balancing engineering quality with business priorities and delivery deadlines. Desirable Experience AWS or Azure cloud environments. Microservices and event-driven architecture. Docker and containerisation. Infrastructure as Code. Distributed systems and domain-led architecture. Frontend technologies and full-stack development. ...

finance or business environment.Experience supporting finance transformation, data modernization, reporting automation, digital finance, or process improvement initiatives.Familiarity with Power BI, SQL, Azure, Databricks, or similar data and analytics platforms. Basic Qualifications: Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or similar field. Preferred: Master ...

other stakeholders create proof-of-concepts as required to influence decision making. Skills and experience: Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud), preferably with related qualification such as AWS solutions architect or equivalent. Proficiency in programming languages such asPython, TypeScript, or C#.Excellent problem-solving skills ...

machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecyclesAdvanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practicesKnowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI ActExperience orchestrating ...

level. Strong command of common security/compliance frameworks and how to apply them strategically. Deep working knowledge of public cloud platforms (AWS, Azure, GCP, OCI).Executive-level communication and presentation skills, with the ability to influence C-level and senior technical audiences. Demonstrated self-direction, sound judgment ...

Experience configuring, supporting, troubleshooting SDN technologies such as Cisco ACI or VMware NSX Working understanding of Cloud networking solutions and principles i.e. (Azure Networking, AWS networking) Use of automation tooling such as Ansible and Terraform Experience in programming/scripting (BASH, Python, PowerShell, etc) If you're interested ...

strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou ...

hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems ...

Experience in developing and deploying AI/ML models using Python. Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS. Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area. What Would Be Nice To Have : THREE ...

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud-based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives Experience working within agile, cross-functional product ...

Python, PySpark or Spark SQL, enough to read pipeline code and trace transformations Databricks, including Unity Catalog and medallion (bronze-silver-gold) architecture Azure or AWS data services (e.g. Data Factory, Synapse, S3, Glue, Redshift) Data testing tools such as dbt tests, Great Expectations or Soda YAML-based ...

data Strong UI/UX capabilities for dashboard development Familiarity with PowerApps Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google) Experience performing analytics and data transformation using Python and R Ability to gather requirements and present to clients with strong written ...

data Strong UI/UX capabilities for dashboard development Familiarity with PowerApps Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google) Experience performing analytics and data transformation using Python and R Ability to gather requirements and present to clients with strong written ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

handoff through testing, launch and ongoing operations. Technical fluency across APIs, S2S integrations, tagging, data flows, cloud environments such as AWS, GCP or Azure, and data-ingestion architecture. You do not need to be an engineer, but you should be comfortable translating technical detail, asking informed questions ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...