1 to 25 of 35 Remote/Hybrid GAP Analysis Jobs in the UK excluding London

delivering real business value, wed love to hear from you! Where you fit in: As our Business Analyst Customer Experience you will: Lead business analysis activities across multiple projects, producing clear and actionable requirements for IT solutions, including bespoke software, third-party products, and cloud-based services. Translate business … needs into detailed specifications such as UI designs, data models, process changes, and interface designs. Apply best practice requirements engineering techniques, including elicitation, analysis, validation, documentation, and traceability. Use a range of elicitation methods such as interviews, workshops, and surveys to capture accurate requirements. Develop ...

understand and document business requirements. Translate these requirements into functional specifications. Evaluate current business processes and systems to identify areas for improvement. Conduct gap analysis and recommend solutions to enhance efficiency and effectiveness. Collaborate with Stakeholders, IT and development teams to design and implement system solutions. Ensure that … related field would be advantageous but not essential. Proven experience as a Business Systems Analyst with strong problem-solving skills. Proficiency in business analysis, process improvement, and project management methodologies (e.g., SDLC). Strong communication, organisational, and data analysis skills; experience with tools like MS Visio, Lucidchart ...

service approach to enable technical and business service delivery for client environments Service Design: Produce detailed, fit-for-purpose Service Designs, including support task analysis and training needs assessment. Service Transition Ownership: Lead the service transition planning and execution across agile delivery teams, ensuring new or changed services … cost models for new business. Excellent interpersonal skills to engage technical and non-technical stakeholders at all levels. Strong analytical and documentation skills, including gap analysis, risk assessment, and transition planning. Experience working within cross-functional, multidisciplinary teams including engineering, cyber security, and programme teams It is desirable ...

processes, particularly across the order-to-cash lifecycle Supporting and leading IT system implementations , ensuring alignment with operational and strategic objectives Conducting process mapping, gap analysis, and root-cause investigations Producing clear documentation, including SOPs, process flows, and training materials Facilitating workshops, training sessions, and change initiatives … Lean, Six Sigma, or Agile About You You will be an experienced process or transformation professional with: A strong background in process improvement, business analysis, or operational transformation Proven experience supporting IT system implementations , ideally in workforce or end-to-end operational systems Experience within engineering, construction or telecoms ...

Serve as expert in area of responsibility, identifies process improvements and problem prevention, and advises department and management of relevant information as appropriate Provides analysis and solutions to technical and business issues Understand and apply technology and corporate vision setting direction on implementation. Maintain awareness of business and technology … raised Partner with DevOps team to enable automated infrastructure delivery, DevSecOps value streams are executed and CI/CD pipelines to deploy services Initiate analysis for complex problems and issues, determine technical alternatives, analyse vendor solutions and negotiate contracts, and develop appropriate standards for technology application. Provide technical leadership ...

change, and ensure delivery lands cleanly into the business. Workstreams: Claims & Personal Lines: BA support across core insurance processes and change initiatives. Guidewire (Cloud): Analysis for upgrades/migrations; experience here is a strong plus. GenAI - Next Best Action: Define use-cases and requirements for decisioning in Claims. Data … initiatives. Pricing: Process mapping; identifying synergies, systems thinking & mapping. What you'll bring Proven Insurance background (General Insurance essential). Strong BA toolkit: requirements, gap analysis, AS-IS/TO-BE, stakeholder engagement, workshop facilitation, user stories/acceptance criteria. Experience in one or more of: Guidewire Cloud ...

onboarding, missing asset classes, and service relationship modelling. Technical Delivery Support Translate architecture designs into actionable guidance for engineering teams and suppliers. Support troubleshooting, gap analysis, and mitigation activities impacting CMDB launch targets. Ensure integration patterns support resiliency, failover, and end to end reconciliation. Required Experience & Skills Architecture … Pack for DA approval (incl. discovery, integrations, reconciliation flows). 2.Updated CMDB Metamodel & Service Taxonomy, aligned to the clients Enterprise Metamodel. 3.Integration redesign and gap plan addressing missing assets and data quality concerns. 4.Interim CMDB roadmap including go live readiness, risk mitigation, and dependency mapping. 5.Knowledge transfer plan ...

Cyber Essentials Plus, NIST CSF, CIS Benchmarks and similar Frameworks Experience turning framework requirements into realistic, implementable controls Comfortable producing structured gap analyses and remediation pathways Consultancy & Communication Skilled in presenting complex security concepts in simple, actionable terms Able to influence decision-making through clarity, options, and rationale Confident ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied AI Engineer … demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous ...