251 to 275 of 929 Jobs in the North of England

vector databases. Proven experience developing AI Agents and agentic workflows. Proficient in Python, SQL, and API integration. Familiarity with cloud platforms such as Azure, AWS, or GCP. Demonstrated experience integrating AI services into enterprise platforms. Expertise in evaluating, testing, and optimising LLM and AI Agent performance. Desirable Experience ...

integrate non-functional requirements (e.g. security, performance, scalability) into software design.Practical experience working with major public cloud platforms such as AWS or Azure, including SaaS and PaaS solutions.Excellent communication skills—capable of clearly articulating technical concepts in both verbal and written formats, including technical documentation and presentations.Confidence ...

applications, platforms, and support processes, with strong learning agility and immediate contribution in a fast-paced production environment. Much Preferred Skills Azure Cloud experience preferred. Knowledge of automation/scripting using Python, Shell, or PowerShell. Exposure to DevOps/SRE practices, CI/CD pipelines, and observability tooling. ...

through to production. Contribute to high-quality front-end development using React and TypeScript where required. Deploy and operate cloud-native solutions in Azure, applying strong DevOps practices, CI/CD pipelines and containerisation. Deliver clean, well-tested, maintainable code, with appropriate automated testing across the SDLC. Investigate ...

modernisation or cloud migration initiatives. Technical Skills Essential Java REST APIs Ansible Software Engineering best practices CI/CD Automation Cloud Platforms (AWS, Azure or GCP) Microservices Architecture Distributed Systems DevOps practices Observability and monitoring Beneficial Kubernetes Platform Engineering Event-Driven Architecture Site Reliability Engineering (SRE) Infrastructure ...

senior or lead data engineering role. A strong background in designing and implementing cloud-based data platforms using technologies such as Azure, Databricks, Snowflake or similar. Strong coding skills, such as SQL or Python. Experience designing data models and database structures. A track record of integrating data across ...

formal service acceptance Ability to monitor platform performance, reliability and adoption in live operation Strong understanding of security, RBAC and integration with Azure AD and enterprise controls Awareness of cost, performance and scalability trade-offs across compute and storage Familiarity with DevOps practices including CI/CD, environment ...

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/CD pipelines ...

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/ ...

writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production ...

senior or lead capacityStrong experience designing, building and operating scalable data platforms and pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions ...

senior or lead capacityStrong experience designing, building and operating scalable data platforms and pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions ...

responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi‐cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

methodologies such as MEDDPICC, Command of the Message, or similar value-driven sales frameworks across a team.Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks).Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra ...

mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience ...

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 ...

architectural 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 pipelines ...

office) Fluency in English Desirable qualifications, skills and experience Start-up experience (building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience ...

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 DevSecOpsExperience researching technology trends and ways to secure those technologies.Experience with automated deployment techniques and CI/CD pipelines.Experience working ...

tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: D365, Power Apps, Azure TOGAFSAFe UML, ArchiMate, ArdoqWhat you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

following types of programmes: (1) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (2) Core banking transformation programmes (3) Data Transformation programmes; (4) Regulatory & Financial Crime Programme Management; (5) Mergers & Acquisitions ...

This ensures continuous learning and the opportunity to apply innovative solutions to a wide range of customer challenges.The OpportunityWe are seeking an experienced Azure DevOps Engineer to support the design, implementation, automation, and ongoing management of Azure cloud infrastructure and platform services. You will work closely … deliver secure, scalable, and highly available cloud solutions while driving DevOps best practices and continuous improvement.About the RoleResponsibilitiesDesign, build, configure, and support Azure cloud infrastructure and platform services.Implement infrastructure solutions from approved HLDs and contribute to LLD creation.Develop and maintain CI/CD pipelines using Azure ...

platform, technologies and capabilities for Microsoft Dynamics 365 enabled transformation programmesBring a deep understanding of the wider Microsoft technology stack, including Azure, CE, dual write and Power Platform alongside emerging technologies such as AI and how these can be employed alongside D365 F&OBring extensive experience ...