Sabio Group is seeking a Mid-Level Data and BI Engineer to join their Delivery department in London. The role involves building scalable data pipelines, integrating enterprise systems like ServiceNow and Salesforce, and developing Power BI dashboards. Candidates should have 3-6 years in data engineering or BI roles, strong SQL skills, and experience with Power BI. The company offers benefits like a pension scheme, remote work options, and health care coverage.
20/07/2026
Full time
Sabio Group is seeking a Mid-Level Data and BI Engineer to join their Delivery department in London. The role involves building scalable data pipelines, integrating enterprise systems like ServiceNow and Salesforce, and developing Power BI dashboards. Candidates should have 3-6 years in data engineering or BI roles, strong SQL skills, and experience with Power BI. The company offers benefits like a pension scheme, remote work options, and health care coverage.
Data and BI Engineer Department: Delivery Employment Type: Full Time Location: London Reporting To: Jason Gopaul Description Sabio is a global company and the leading independent UK Contact Centre solution supplier. We work with leading brands and partners across the globe, helping them to build high quality, secure, robust platforms and solutions. Sabio provides expertise and solutions that our customers need to respond to the ever-changing world. Our focus is on creating state of the art real time communications platforms and contact centre system integration. At our core, we are problem solvers with a strong engineering mindset and a 'can do' attitude. We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid Level) reporting into our Global Data Integration and Systems Manager. This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as ServiceNow and Salesforce, and delivering high quality reporting and insights through Power BI. The successful candidate will play a key role in shaping Sabio's data landscape, ensuring data is reliable, accessible and optimised for business decision making. Key Responsibilities Data Engineering Design, build, and maintain scalable data pipelines across multiple systems Develop and manage ETL/ELT processes to ensure high quality, reliable data Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems Implement and support modern data platforms, including Microsoft Fabric Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows Ensure data governance, security and performance standards are met Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reports Build and maintain semantic models, measures and calculated logic (DAX) Translate business requirements into scalable data models and visualisations Optimise report performance, usability and consistency Deliver actionable insights to support business decision making Data Management & Quality Ensure accuracy, completeness and integrity of data across systems Manage data pipelines and support data quality frameworks Identify and resolve data issues, inconsistencies and gaps Continuously improve data processes and reporting workflows Stakeholder Engagement Work closely with business stakeholders to gather reporting requirements Collaborate with cross functional teams across technology and operations Present insights clearly to both technical and non technical audiences Support adoption and effective use of dashboards and reporting tools Skills Knowledge and Expertise Essential Experience in data engineering and/or BI development roles (3-6 years typical) Strong experience with Power BI (dashboard development, DAX, modelling) Strong SQL skills for querying and transforming data Experience integrating Salesforce data Experience working with ServiceNow data or APIs Experience designing and managing ETL/ELT pipelines Solid understanding of data modelling (star schema, dimensional modelling) Strong analytical and problem solving skills Excellent communication skills with stakeholders Desirable Experience with Microsoft Fabric Understanding of medallion architecture (Bronze, Silver, Gold layers) Experience with cloud platforms (Azure preferred) Experience working with APIs and automation Exposure to Certinia / financial or resource management data Background in telecoms, services or consulting environments Personal Attributes Highly detail oriented with strong focus on data accuracy Proactive, self driven and solution focused Strong collaboration and stakeholder engagement skills Comfortable working in a fast paced, evolving environment Benefits Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.)
20/07/2026
Full time
Data and BI Engineer Department: Delivery Employment Type: Full Time Location: London Reporting To: Jason Gopaul Description Sabio is a global company and the leading independent UK Contact Centre solution supplier. We work with leading brands and partners across the globe, helping them to build high quality, secure, robust platforms and solutions. Sabio provides expertise and solutions that our customers need to respond to the ever-changing world. Our focus is on creating state of the art real time communications platforms and contact centre system integration. At our core, we are problem solvers with a strong engineering mindset and a 'can do' attitude. We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid Level) reporting into our Global Data Integration and Systems Manager. This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as ServiceNow and Salesforce, and delivering high quality reporting and insights through Power BI. The successful candidate will play a key role in shaping Sabio's data landscape, ensuring data is reliable, accessible and optimised for business decision making. Key Responsibilities Data Engineering Design, build, and maintain scalable data pipelines across multiple systems Develop and manage ETL/ELT processes to ensure high quality, reliable data Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems Implement and support modern data platforms, including Microsoft Fabric Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows Ensure data governance, security and performance standards are met Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reports Build and maintain semantic models, measures and calculated logic (DAX) Translate business requirements into scalable data models and visualisations Optimise report performance, usability and consistency Deliver actionable insights to support business decision making Data Management & Quality Ensure accuracy, completeness and integrity of data across systems Manage data pipelines and support data quality frameworks Identify and resolve data issues, inconsistencies and gaps Continuously improve data processes and reporting workflows Stakeholder Engagement Work closely with business stakeholders to gather reporting requirements Collaborate with cross functional teams across technology and operations Present insights clearly to both technical and non technical audiences Support adoption and effective use of dashboards and reporting tools Skills Knowledge and Expertise Essential Experience in data engineering and/or BI development roles (3-6 years typical) Strong experience with Power BI (dashboard development, DAX, modelling) Strong SQL skills for querying and transforming data Experience integrating Salesforce data Experience working with ServiceNow data or APIs Experience designing and managing ETL/ELT pipelines Solid understanding of data modelling (star schema, dimensional modelling) Strong analytical and problem solving skills Excellent communication skills with stakeholders Desirable Experience with Microsoft Fabric Understanding of medallion architecture (Bronze, Silver, Gold layers) Experience with cloud platforms (Azure preferred) Experience working with APIs and automation Exposure to Certinia / financial or resource management data Background in telecoms, services or consulting environments Personal Attributes Highly detail oriented with strong focus on data accuracy Proactive, self driven and solution focused Strong collaboration and stakeholder engagement skills Comfortable working in a fast paced, evolving environment Benefits Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.)
AI Compliance and Governance Specialist Department: IT Employment Type: Permanent - Full Time Location: London Reporting To: Stephen Smith Description At Sabio Group, we are building the next generation of AI powered customer experience for some of the world's most demanding enterprise brands. We deliver significant volumes of agentic AI, LLM and conversational solutions into regulated industries - which means governance and compliance aren't a back office function for us, they're a competitive advantage and a customer expectation. We are hiring an AI Compliance & Governance Specialist to join our Internal AI Team and add capacity to our existing governance and compliance function. We already ISO 27001 and SOC 2 Type II certified, we operate under the EU AI Act, and we are working towards ISO 42001. You will play a key part in evolving that posture - across the solutions we ship to customers, the policies and procedures we run internally, and the way we evidence trust to regulators and clients. This is a hands on role for someone who is genuinely curious about AI, comfortable using AI tooling to amplify their own output, and thoughtful about how to govern it responsibly. It's a fun, fast paced environment with a high growth business area behind it - and a strong remit to shape how AI is built and deployed across the Sabio group. Key Responsibilities Customer Solution Assurance Review and assure the AI solutions we deliver to customers against EU AI Act obligations, ISO 42001 controls, customer specific regulatory requirements and Sabio's internal standards. Partner with delivery teams during discovery, design and deployment to ensure bias, hallucination, prompt injection, misuse and other AI specific risks are identified and mitigated by design - not patched in later. Support pre sales and customer conversations on compliance posture, certifications and responsible AI commitments. Policy, Procedure & Strategy Draft, maintain and evolve internal AI policies, procedures, standards and control frameworks. Contribute to the strategic direction of Sabio's AI governance programme - including roadmap to ISO 42001 certification and ongoing alignment with EU AI Act, ISO 27001 and SOC 2 Type II. Translate regulatory change (EU AI Act guidance, national implementations, sector specific rules) into practical, actionable internal guidance. Audit & Assurance Audit Sabio's AI deployment and support methodologies against internal standards and external frameworks. Support external audits from customers, certification bodies and regulators - preparing evidence, running walkthroughs and remediating findings. Build and report on AI governance KPIs that give leadership and customers a clear, honest view of compliance posture. Responsible AI in Practice Operationalise responsible AI principles - fairness, transparency, accountability, robustness, human oversight - across solution lifecycles. Work with engineering and AI teams on practical mitigations for bias, hallucination, jailbreak resistance, data leakage and acceptable use boundaries. Help define and evolve our approach to evaluation, red teaming and ongoing monitoring of deployed AI systems. Enablement & Communication Run working sessions, training and clinics that lift AI governance literacy across engineering, delivery, sales and operations. Bring people together across geographies and disciplines to land decisions and unblock initiatives. Produce high quality written content - policies, briefings, customer facing assurance materials, internal comms. Working with AI Use AI tooling (Microsoft Copilot, Microsoft Cowork and others) as a core part of how you deliver - drafting, analysing, summarising, reviewing - to materially amplify your output. Skills Knowledge and Expertise Required Demonstrable experience in AI compliance, AI governance or AI risk - either as a dedicated focus or as a major component of a broader compliance, legal, infosec, cyber or engineering role that you've since pivoted toward AI. Strong working knowledge of the EU AI Act and a clear understanding of how risk classification, obligations and timelines apply to real world AI systems. Familiarity with ISO/IEC 42001, ISO/IEC 27001 and SOC 2 Type II - what they require, how they interlock, and how to evidence compliance in practice. A genuine grasp of the core principles of modern AI: LLMs, prompt engineering, context engineering, retrieval augmented generation, and agentic frameworks - enough to challenge engineers credibly and apply governance to what's actually being built, not a generic abstraction of it. Hands on experience using AI tooling as part of your day job - using AI co work / copilots to draft, review, analyse and accelerate your own output. Awareness of bias, hallucination, prompt injection, data leakage and misuse risks in deployed AI systems, with practical experience helping to mitigate them. Excellent written and verbal communication - able to draft a board grade policy, run a workshop, brief a customer auditor and write a sharp internal memo. Ability to run meetings, bring groups together and drive outcomes across geographically dispersed teams and different business functions. Comfort with high pace, multi stakeholder environments - motivated, flexible, and able to build effective working relationships across cultures and time zones. A passion for raising the bar in others - coaching, enabling and growing AI governance literacy across the organisation. Desirable Working proficiency in Spanish alongside English. Familiarity with Microsoft Copilot, Microsoft Cowork and the broader Microsoft AI ecosystem. Hands on familiarity with AI offerings from Anthropic, OpenAI, Google and conversational AI platforms such as Cognigy, and a practical sense of how their governance characteristics differ. Prior career stage in legal, information security, cyber security, audit or software engineering - now focused on AI governance and compliance. Experience supporting customer facing audits or regulator engagement in a B2B / enterprise context. Exposure to AI evaluation, red teaming or model assurance practices. Experience working in or with contact centre, customer experience or other regulated enterprise domains. Nice to Have Experience contributing to an ISO 42001 certification journey end to end. Familiarity with NIST AI RMF, UK AI regulatory developments, or sector specific AI guidance (financial services, healthcare, public sector). Exposure to emerging agent interoperability and safety standards (e.g. MCP, A2A) and human in the loop patterns. A track record of writing publicly - blogs, talks, whitepapers - on AI governance, responsible AI or adjacent topics. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
20/07/2026
Full time
AI Compliance and Governance Specialist Department: IT Employment Type: Permanent - Full Time Location: London Reporting To: Stephen Smith Description At Sabio Group, we are building the next generation of AI powered customer experience for some of the world's most demanding enterprise brands. We deliver significant volumes of agentic AI, LLM and conversational solutions into regulated industries - which means governance and compliance aren't a back office function for us, they're a competitive advantage and a customer expectation. We are hiring an AI Compliance & Governance Specialist to join our Internal AI Team and add capacity to our existing governance and compliance function. We already ISO 27001 and SOC 2 Type II certified, we operate under the EU AI Act, and we are working towards ISO 42001. You will play a key part in evolving that posture - across the solutions we ship to customers, the policies and procedures we run internally, and the way we evidence trust to regulators and clients. This is a hands on role for someone who is genuinely curious about AI, comfortable using AI tooling to amplify their own output, and thoughtful about how to govern it responsibly. It's a fun, fast paced environment with a high growth business area behind it - and a strong remit to shape how AI is built and deployed across the Sabio group. Key Responsibilities Customer Solution Assurance Review and assure the AI solutions we deliver to customers against EU AI Act obligations, ISO 42001 controls, customer specific regulatory requirements and Sabio's internal standards. Partner with delivery teams during discovery, design and deployment to ensure bias, hallucination, prompt injection, misuse and other AI specific risks are identified and mitigated by design - not patched in later. Support pre sales and customer conversations on compliance posture, certifications and responsible AI commitments. Policy, Procedure & Strategy Draft, maintain and evolve internal AI policies, procedures, standards and control frameworks. Contribute to the strategic direction of Sabio's AI governance programme - including roadmap to ISO 42001 certification and ongoing alignment with EU AI Act, ISO 27001 and SOC 2 Type II. Translate regulatory change (EU AI Act guidance, national implementations, sector specific rules) into practical, actionable internal guidance. Audit & Assurance Audit Sabio's AI deployment and support methodologies against internal standards and external frameworks. Support external audits from customers, certification bodies and regulators - preparing evidence, running walkthroughs and remediating findings. Build and report on AI governance KPIs that give leadership and customers a clear, honest view of compliance posture. Responsible AI in Practice Operationalise responsible AI principles - fairness, transparency, accountability, robustness, human oversight - across solution lifecycles. Work with engineering and AI teams on practical mitigations for bias, hallucination, jailbreak resistance, data leakage and acceptable use boundaries. Help define and evolve our approach to evaluation, red teaming and ongoing monitoring of deployed AI systems. Enablement & Communication Run working sessions, training and clinics that lift AI governance literacy across engineering, delivery, sales and operations. Bring people together across geographies and disciplines to land decisions and unblock initiatives. Produce high quality written content - policies, briefings, customer facing assurance materials, internal comms. Working with AI Use AI tooling (Microsoft Copilot, Microsoft Cowork and others) as a core part of how you deliver - drafting, analysing, summarising, reviewing - to materially amplify your output. Skills Knowledge and Expertise Required Demonstrable experience in AI compliance, AI governance or AI risk - either as a dedicated focus or as a major component of a broader compliance, legal, infosec, cyber or engineering role that you've since pivoted toward AI. Strong working knowledge of the EU AI Act and a clear understanding of how risk classification, obligations and timelines apply to real world AI systems. Familiarity with ISO/IEC 42001, ISO/IEC 27001 and SOC 2 Type II - what they require, how they interlock, and how to evidence compliance in practice. A genuine grasp of the core principles of modern AI: LLMs, prompt engineering, context engineering, retrieval augmented generation, and agentic frameworks - enough to challenge engineers credibly and apply governance to what's actually being built, not a generic abstraction of it. Hands on experience using AI tooling as part of your day job - using AI co work / copilots to draft, review, analyse and accelerate your own output. Awareness of bias, hallucination, prompt injection, data leakage and misuse risks in deployed AI systems, with practical experience helping to mitigate them. Excellent written and verbal communication - able to draft a board grade policy, run a workshop, brief a customer auditor and write a sharp internal memo. Ability to run meetings, bring groups together and drive outcomes across geographically dispersed teams and different business functions. Comfort with high pace, multi stakeholder environments - motivated, flexible, and able to build effective working relationships across cultures and time zones. A passion for raising the bar in others - coaching, enabling and growing AI governance literacy across the organisation. Desirable Working proficiency in Spanish alongside English. Familiarity with Microsoft Copilot, Microsoft Cowork and the broader Microsoft AI ecosystem. Hands on familiarity with AI offerings from Anthropic, OpenAI, Google and conversational AI platforms such as Cognigy, and a practical sense of how their governance characteristics differ. Prior career stage in legal, information security, cyber security, audit or software engineering - now focused on AI governance and compliance. Experience supporting customer facing audits or regulator engagement in a B2B / enterprise context. Exposure to AI evaluation, red teaming or model assurance practices. Experience working in or with contact centre, customer experience or other regulated enterprise domains. Nice to Have Experience contributing to an ISO 42001 certification journey end to end. Familiarity with NIST AI RMF, UK AI regulatory developments, or sector specific AI guidance (financial services, healthcare, public sector). Exposure to emerging agent interoperability and safety standards (e.g. MCP, A2A) and human in the loop patterns. A track record of writing publicly - blogs, talks, whitepapers - on AI governance, responsible AI or adjacent topics. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Sabio Group is looking for a Senior Software Engineer (DevOps) in London. The role involves designing, building, and maintaining high-quality software solutions with a focus on DevOps practices. You will collaborate with customers to understand their needs, implement CI/CD pipelines, and utilize modern technologies. Candidates should have strong experience in DevOps, automation, and various programming languages, along with excellent communication skills. Join a diverse, inclusive team that values continuous learning and growth.
20/07/2026
Full time
Sabio Group is looking for a Senior Software Engineer (DevOps) in London. The role involves designing, building, and maintaining high-quality software solutions with a focus on DevOps practices. You will collaborate with customers to understand their needs, implement CI/CD pipelines, and utilize modern technologies. Candidates should have strong experience in DevOps, automation, and various programming languages, along with excellent communication skills. Join a diverse, inclusive team that values continuous learning and growth.
Senior Software Engineer (DevOps) Department: Delivery Employment Type: Full Time Location: London Reporting To: Chris Nickson Description Sabio Group is a trusted expert in Contact Centre, AI and Data. We design, build and run automation-led customer experiences for leading brands, combining deep domain expertise with modern engineering and a consulting mindset. We are collaborative, curious and outcomes-driven, and we invest in people who want to learn and grow in a supportive, inclusive environment. Role Purpose As a Senior Software Engineer within the AI Practice, you will play a key hands on role in designing, building and operating secure, scalable and highly automated software solutions for our customers. You will bring a strong DevOps mindset, taking ownership of solutions across the full lifecycle - from design and build through deployment, monitoring and continuous improvement. The role is customer facing and delivery focused, working on AI enabled and cloud native solutions using modern, automation first engineering practices. Key Responsibilities Design, build and maintain high quality software solutions using modern programming languages, cloud platforms and DevOps tooling. Apply a DevOps and automation first approach across infrastructure provisioning, CI/CD, deployment, testing and operations. Engineer secure, scalable and observable systems using modern DevOps practices, including infrastructure as code and automated quality controls. Take ownership of services in production, including monitoring, troubleshooting, performance tuning and reliability improvements. Work directly with customers to understand requirements, shape technical solutions and clearly communicate progress, risks and outcomes. Troubleshoot complex issues across application code, integrations, infrastructure and cloud services. Contribute to shared DevOps tooling, reusable components, infrastructure as code patterns and engineering standards within the AI Practice. Collaborate closely with other engineers and delivery leads to ensure high quality, on time delivery. Continuously evaluate and adopt new DevOps tools, technologies and patterns to improve delivery efficiency and platform reliability. Skills Knowledge and Expertise Strong experience as a Senior Software Engineer working across multiple technology stacks. Proven DevOps experience, with a strong automation first engineering mindset. Experience designing, deploying and supporting production systems using CI/CD pipelines and infrastructure as code. Ability to rapidly learn new technologies and apply them effectively in customer environments. Excellent problem solving and troubleshooting skills across software, infrastructure and cloud platforms. Strong written and verbal communication skills, including confidence in customer facing roles. Hands on experience with: Infrastructure as Code (Terraform, Ansible or similar) CI/CD pipelines and DevOps tooling C# (.NET 8+) and/or Java (Spring) JavaScript using a modern framework (React, Angular or similar) Bash and PowerShell AWS, ideally including Amazon Connect Containerisation and orchestration (Docker, Kubernetes) Linux environments Nice to Have Experience with relational databases such as MSSQL Experience with Redis or similar caching technologies Exposure to Azure Exposure to Google Cloud Platform (GCP) Experience with Go Experience with VMware Telephony or IVR experience Why Join Us Work on high impact AI, cloud and DevOps transformation programmes for leading global brands. Be part of a collaborative, outcomes driven engineering culture with strong DevOps practices. Continuous learning with access to mentoring, frameworks and clear career progression. An inclusive and supportive environment where diversity is valued and everyone can thrive. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year- (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
19/07/2026
Full time
Senior Software Engineer (DevOps) Department: Delivery Employment Type: Full Time Location: London Reporting To: Chris Nickson Description Sabio Group is a trusted expert in Contact Centre, AI and Data. We design, build and run automation-led customer experiences for leading brands, combining deep domain expertise with modern engineering and a consulting mindset. We are collaborative, curious and outcomes-driven, and we invest in people who want to learn and grow in a supportive, inclusive environment. Role Purpose As a Senior Software Engineer within the AI Practice, you will play a key hands on role in designing, building and operating secure, scalable and highly automated software solutions for our customers. You will bring a strong DevOps mindset, taking ownership of solutions across the full lifecycle - from design and build through deployment, monitoring and continuous improvement. The role is customer facing and delivery focused, working on AI enabled and cloud native solutions using modern, automation first engineering practices. Key Responsibilities Design, build and maintain high quality software solutions using modern programming languages, cloud platforms and DevOps tooling. Apply a DevOps and automation first approach across infrastructure provisioning, CI/CD, deployment, testing and operations. Engineer secure, scalable and observable systems using modern DevOps practices, including infrastructure as code and automated quality controls. Take ownership of services in production, including monitoring, troubleshooting, performance tuning and reliability improvements. Work directly with customers to understand requirements, shape technical solutions and clearly communicate progress, risks and outcomes. Troubleshoot complex issues across application code, integrations, infrastructure and cloud services. Contribute to shared DevOps tooling, reusable components, infrastructure as code patterns and engineering standards within the AI Practice. Collaborate closely with other engineers and delivery leads to ensure high quality, on time delivery. Continuously evaluate and adopt new DevOps tools, technologies and patterns to improve delivery efficiency and platform reliability. Skills Knowledge and Expertise Strong experience as a Senior Software Engineer working across multiple technology stacks. Proven DevOps experience, with a strong automation first engineering mindset. Experience designing, deploying and supporting production systems using CI/CD pipelines and infrastructure as code. Ability to rapidly learn new technologies and apply them effectively in customer environments. Excellent problem solving and troubleshooting skills across software, infrastructure and cloud platforms. Strong written and verbal communication skills, including confidence in customer facing roles. Hands on experience with: Infrastructure as Code (Terraform, Ansible or similar) CI/CD pipelines and DevOps tooling C# (.NET 8+) and/or Java (Spring) JavaScript using a modern framework (React, Angular or similar) Bash and PowerShell AWS, ideally including Amazon Connect Containerisation and orchestration (Docker, Kubernetes) Linux environments Nice to Have Experience with relational databases such as MSSQL Experience with Redis or similar caching technologies Exposure to Azure Exposure to Google Cloud Platform (GCP) Experience with Go Experience with VMware Telephony or IVR experience Why Join Us Work on high impact AI, cloud and DevOps transformation programmes for leading global brands. Be part of a collaborative, outcomes driven engineering culture with strong DevOps practices. Continuous learning with access to mentoring, frameworks and clear career progression. An inclusive and supportive environment where diversity is valued and everyone can thrive. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year- (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
AI Solutions Engineer Department: Product Development Employment Type: Permanent - Full Time Location: London Reporting To: Head of Development and R&D Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Engineer to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose To design and deliver compelling AI-powered experiences for customers - including demos, prototypes, and proof-of-concepts - using internal tooling and generative AI capabilities, with a direct impact on sales enablement and customer engagement. Key Responsibilities Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience. Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals. Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision making. Support business development efforts by contributing to ROI modelling and business case creation. Translate data insights into compelling stories that resonate with both technical and non technical stakeholders. Ensure ethical AI principles are embedded in all customer facing solutions and engagements. Stay current with emerging generative AI technologies and contribute to internal capability building. Skills, Knowledge and Expertise Strong proficiency in Python and hands on experience with generative AI tools and frameworks. Experience in designing customer centric AI experiences, including conversational interfaces and intelligent automation. Proven ability to develop business cases and ROI models for AI initiatives. Skilled in cross functional collaboration, especially with sales and product teams. Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively. Awareness of ethical AI practices and a commitment to responsible innovation. Core Competencies Analytical Thinking: Ability to evaluate complex technical challenges and architect scalable AI solutions. Innovation: Creative approach to applying AI technologies to real world problems. Collaboration: Strong interpersonal skills to work effectively across technical and non technical teams. Communication: Ability to translate technical concepts into clear, actionable insights. Customer Focus: Understand user needs and design solutions that deliver measurable value. Continuous Learning: Passion for staying up to date with the latest AI tools, frameworks, and methodologies. Ethical Awareness: Commitment to responsible AI practices, including fairness, transparency, and safety. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year- (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
19/07/2026
Full time
AI Solutions Engineer Department: Product Development Employment Type: Permanent - Full Time Location: London Reporting To: Head of Development and R&D Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Engineer to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose To design and deliver compelling AI-powered experiences for customers - including demos, prototypes, and proof-of-concepts - using internal tooling and generative AI capabilities, with a direct impact on sales enablement and customer engagement. Key Responsibilities Build and present engaging AI demos and prototypes that showcase the value of generative AI in customer experience. Collaborate with sales and product teams to co-create tailored AI solutions aligned with client needs and strategic goals. Use internal tooling and frameworks to rapidly develop proof-of-concepts that accelerate customer decision making. Support business development efforts by contributing to ROI modelling and business case creation. Translate data insights into compelling stories that resonate with both technical and non technical stakeholders. Ensure ethical AI principles are embedded in all customer facing solutions and engagements. Stay current with emerging generative AI technologies and contribute to internal capability building. Skills, Knowledge and Expertise Strong proficiency in Python and hands on experience with generative AI tools and frameworks. Experience in designing customer centric AI experiences, including conversational interfaces and intelligent automation. Proven ability to develop business cases and ROI models for AI initiatives. Skilled in cross functional collaboration, especially with sales and product teams. Excellent data storytelling skills, with the ability to communicate complex insights clearly and persuasively. Awareness of ethical AI practices and a commitment to responsible innovation. Core Competencies Analytical Thinking: Ability to evaluate complex technical challenges and architect scalable AI solutions. Innovation: Creative approach to applying AI technologies to real world problems. Collaboration: Strong interpersonal skills to work effectively across technical and non technical teams. Communication: Ability to translate technical concepts into clear, actionable insights. Customer Focus: Understand user needs and design solutions that deliver measurable value. Continuous Learning: Passion for staying up to date with the latest AI tools, frameworks, and methodologies. Ethical Awareness: Commitment to responsible AI practices, including fairness, transparency, and safety. Benefits This is your chance to join and friendly and passionate team that will motivate you to learn and develop your career in the company. Benefits may include: Pension Scheme Remote/Flexible work Life insurance Private health and dental care Cycle to work 28 days paid holiday a year- (this includes three Sabio days) LinkedIn Learning Plus many more! (Benefits are dependant on your base location.) The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Sabio Group is seeking an AI Solutions Engineer in London to design and deliver AI-powered experiences that enhance customer engagement. In this role, you will build engaging demos, collaborate with sales to create tailored solutions, and contribute to the development of AI capabilities. The ideal candidate will have a strong proficiency in Python, experience with generative AI, and excellent data storytelling skills. Benefits include a pension scheme, flexible working options, and 28 days paid holiday.
19/07/2026
Full time
Sabio Group is seeking an AI Solutions Engineer in London to design and deliver AI-powered experiences that enhance customer engagement. In this role, you will build engaging demos, collaborate with sales to create tailored solutions, and contribute to the development of AI capabilities. The ideal candidate will have a strong proficiency in Python, experience with generative AI, and excellent data storytelling skills. Benefits include a pension scheme, flexible working options, and 28 days paid holiday.