126 to 150 of 392 Jobs in Manchester

originate, shape, and grow SRE, cloud, and operational resilience consulting opportunities.* Experience working with at least one major cloud service provider (AWS, Microsoft Azure, or Google Cloud Platform), applying SRE and operating‐model principles in advisory, transformation, or large‐scale delivery contexts; associate‐level certifications are desirable ...

with Databricks and/or Apache Spark Strong PySpark and SQL development skills Experience designing, building and supporting data pipelines Experience working with Azure or AWS Good understanding of modern data platforms and Lakehouse architectures Strong analytical and problem-solving abilities Excellent communication skills, with the ability ...

environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates who have worked within: Banking Financial Services FinTech Consulting Why Apply ...

environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates who have worked within: Banking Financial Services FinTech Consulting Why Apply ...

Power BI, Tableau, or Looker Proficiency in Python or R for data analysis and automation Experience working with cloud-based data platforms (AWS, Azure, or GCP) Excellent analytical thinking with the ability to translate complex data into clear business recommendations Outstanding communication skills — able to present insights confidently ...

environments Experience with automation tooling, workflow orchestration, or infrastructure-as-code approaches. Use of Terraform, Ansible and Python. Experience with Cloud networking, Azure, AWS, Aviatrix, beneficial. Experience with F5 and proxies beneficial. Experience with Zscaler and GlobalProtect or in perimeter or secure access use cases beneficial. Demonstrated experience ...

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes ...

Essential Experience Strong hands-on experience within Security Operations, Detection Engineering, Threat Detection, or Security Monitoring. Experience securing cloud environments across AWS, Azure, or GCP. Expertise in one or more of the following: Splunk and SPL YARA rule development EDR detection engineering SIEM content development and tuning Experience ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...