
Version 1
Remote Jobs
Ready to modernise, transform and accelerate your IT?
67 Jobs
Role Description As a Backend Engineer on our AI Products team, you will design, build, and operate the backend services that power products across Galaxy. You will work with product and engineering teams to implement features end-to-end, from data model to API to production deployment. Many of these products integrate with Galaxy's AI Suite, our internal platform for Generative and Agentic AI, built on AWS Bedrock, AgentCore, and SageMaker. Day to day, you'll mostly be consuming that platform, calling its APIs, wiring LLM and RAG-based features into application logic, and reasoning about prompts and model behavior as part of building a good product, rather than building or owning the platform itself. From time to time, though, you may be asked to contribute directly to the AI stack, so foundational AI knowledge is important. Key Responsibilities - Backend Engineering - Design, build, and maintain backend services and REST APIs that power Galaxy products - Design data models and schemas, and work with relational and other data stores as appropriate - Apply strong software engineering and distributed systems principles to day-to-day development - Write automated tests and maintain CI/CD pipelines for reliable, repeatable deployments - Diagnose and resolve production issues related to latency, reliability, and data quality - AI Integration - Integrate backend services with Galaxy's AI Suite (Bedrock, AgentCore, SageMaker-based APIs) built and maintained by the AI Platform team - Wire LLM, embedding, and RAG-based capabilities exposed by the AI Suite into application features - Apply prompt engineering and function calling at the application level to build reliable AI-powered features - Contribute to testing and quality checks for AI-driven features from a product/application perspective - Cross-Stack Contribution - Contribute across the stack as needed, such as data pipelines, infrastructure, or frontend touchpoints, depending on team and project needs - Partner with full stack engineers, the AI Platform team, and data teams to deliver features end-to-end - Balance delivery speed with code quality, maintainability, and operational health - Collaboration & Growth - Work closely with product managers and business stakeholders to translate requirements into working software - Collaborate with the AI Platform team to stay current on AI Suite capabilities and best practices for consuming them - Share knowledge with other engineers on backend and AI-integration best practices Qualifications - Mandatory Technical Skills - Programming & Engineering - Python - REST API design and development - CI/CD pipelines - Automated testing - Distributed systems fundamentals - Relational database design (e.g. PostgreSQL) - CI/CD & Infrastructure - Kubernetes - Terraform - Docker - Jenkins experience is a plus - AI Familiarity - Working familiarity with Generative AI / LLM concepts: RAG, embeddings, prompt engineering, function calling - Experience integrating applications with LLM or AI platform APIs (e.g. AWS Bedrock or equivalent); deep agentic architecture or model training experience is not required - Comfortable reasoning about prompt behavior and AI output quality from an application/product perspective - Cloud Platforms - Working experience with AWS (or equivalent cloud platform) - Exposure to core AWS services such as Lambda, API Gateway, S3, and CloudWatch is a plus - Data Platforms - Databricks experience is a plus - Production & Operations - Observability (logs, metrics, tracing, alerts) - Monitoring and reliability engineering - Performance tuning and cost optimization - Security - Experience implementing AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production applications - Soft Skills - Strong communication skills; comfortable presenting technical recommendations directly to engineering and business stakeholders Nice to Haves - Domain - Experience working within the financial services domain is preferred - Prior experience across Capital Markets, Digital Assets/Crypto, or AI infrastructure is highly desirable - Awareness of the regulatory and compliance landscape relevant to financial services technology delivery - AI & Product - Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock, SageMaker, or equivalent) - Familiarity with vector databases and embeddings (e.g. pgvector) for AI-powered search/retrieval features - Ability to evaluate AI feature quality from a product/UX lens (accuracy, latency, hallucination handling, graceful degradation), distinct from model-level evaluation owned by the AI Platform team Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes - And many more exciting benefits… drop us a note to find out more.
Role Description Version 1 is seeking a Head of Compensation & Benefits to lead the design, implementation, and management of our global total reward strategy. As the business continues to scale across multiple regions, this role will ensure our compensation and benefits programmes are competitive, fair, and aligned with our growth objectives. You will take ownership of pay structures, job evaluation frameworks, benefits provision, and reward programmes across all Version 1 locations. Working closely with senior leadership, Finance, and People teams, you will use market data and internal analytics to shape reward decisions that attract, retain, and motivate talent globally. This is a strategic and hands-on role, suited to someone who combines deep technical expertise in compensation and benefits with strong commercial awareness and the ability to operate across multiple jurisdictions. Job Responsibilities - Lead the development and execution of Version 1’s global compensation and benefits strategy, ensuring alignment with business objectives and market competitiveness. - Manage and develop the Compensation & Benefits team, setting clear goals, reviewing outputs, and supporting professional growth. - Design and maintain job evaluation and grading frameworks to ensure internal equity and consistency across all regions. - Conduct regular market benchmarking and salary surveys to inform pay positioning and ensure competitiveness in key talent markets including India, UK, and Ireland. - Own the annual pay review and bonus cycle end to end, partnering with Finance and senior leadership on budgeting, modelling, and communications. - Design, implement, and manage employee benefits programmes across all operating regions, ensuring they meet local requirements and employee needs. - Develop and maintain total reward statements and communications that help employees understand the full value of their package. - Provide data-driven insights and reporting on compensation and benefits spend, trends, and effectiveness to senior leadership. - Ensure compliance with all relevant employment legislation, tax regulations, and reporting requirements relating to pay and benefits across all jurisdictions. - Partner with Talent Acquisition to develop competitive offer frameworks and support hiring decisions with market data. - Support M&A activity by conducting compensation and benefits due diligence and leading the harmonisation of reward programmes for acquired entities. - Identify opportunities to improve processes and tools, including increased use of technology and automation in reward administration. - Manage relationships with external benefits providers, brokers, and consultants, ensuring value for money and quality of service. - Contribute to broader People team strategy, bringing a reward and total compensation perspective to strategic discussions. Qualifications - Bachelor’s degree in Human Resources, Business, Finance, or a related field. A postgraduate qualification or professional certification in Compensation & Benefits (e.g. GRP, CCP, CIPD) is desirable. - 8+ years of experience in compensation and benefits, with at least 3 years in a senior or leadership role. - Proven track record of designing and managing compensation and benefits programmes across multiple countries. - Strong knowledge of job evaluation methodologies (e.g. Willis Towers Watson, Mercer, Hay). - Deep understanding of employment legislation, tax, and regulatory requirements relating to pay and benefits across India, UK, and Ireland. - Strong analytical skills with experience in compensation modelling, benchmarking, and data analysis. - Experience with HRIS and compensation management platforms (knowledge of Workday, SAP SuccessFactors, or similar would be an advantage). - Excellent communication and stakeholder management skills, with the ability to present complex reward data clearly to senior leadership. - Strong organisational skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. - Commercial awareness and the ability to balance employee value with business affordability. Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work-life balance. - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. - And many more exciting benefits… drop us a note to find out more.
• Act as the Level 2 escalation point for support teams, owning complex incidents and service requests requiring advanced infrastructure expertise • Collaborate with Level 1 support, senior engineers, project teams, and vendors to resolve issues efficiently • Mentor and guide Level 1 engineers by sharing troubleshooting techniques and providing clear direction for recurring issues • Support and maintain infrastructure across: Networking, Servers, Virtualisation, Storage, Backup, Cloud platforms • Administer and troubleshoot AWS and Microsoft Azure environments, including: Connectivity, Access management, Compute resources, Service availability • Lead and contribute to infrastructure upgrades, patching, and changes in alignment with change control processes • Investigate and resolve issues across: Network, Servers, Operating systems, Cloud, Applications • Perform root cause analysis (RCA) to reduce recurring incidents • Maintain comprehensive technical documentation, knowledge base articles, and incident records • Identify opportunities to enhance: Monitoring, Alerting, Operational processes, Infrastructure reliability • Leverage scripting and automation to streamline operations and reduce manual effort • Drive service improvement through insights, lessons learned, and actionable recommendations • Adhere to security, compliance, and change management policies • Support audits, evidence collection, and vulnerability remediation activities • Proactively escalate risks and service-impacting issues to senior stakeholders.
• Produce both customer and internal service reporting • Conduct regular reviews with customers • Handle escalations, issues, problems, and requirements • Oversee invoicing and financial aspects of assigned accounts • Perform monthly forecasting of project costs and revenue, understanding gaps and putting corrective measures in place, as appropriate • Ensure ISO20000 compliance and best practices • Identify and implement continual service improvement initiatives • Manage business risk and ensure business continuity • Achieve targets and drive improvement initiatives • Explore and drive opportunities for new or additional work within existing customers
Role Description We are seeking an experienced General Ledger (GL) Accountant to join the new GL team being established within our India Delivery Centre (IDC). The GL Accountant will report directly to the GL Manager and will take ownership of General Ledger accounting processes covering Version 1's UK, Ireland and US entities. The successful candidate will demonstrate strong technical competence, work accurately and efficiently to tight month end deadlines, and take genuine ownership of their processes. The GL Analyst will play a key role in building a high performing GL function within the IDC. Job Responsibilities - General Ledger Operations - Process and review journal entries in accordance with approved Standard Operating Procedures (SOPs) - Maintain accurate and timely financial records across multiple entities and currencies (UK, Ireland and US) - Perform balance sheet reconciliations and maintain bank accounts including bank reconciliation - Fixed assets accounting including registration, capitalisation, depreciation, and disposals - Monitor the accuracy and appropriateness of allocations across cost centres - Prepare and post journal entries with full supporting documentation - Execute month end close activities including accruals, prepayments, and intercompany reconciliations - Resolve reconciling items within agreed timelines - Perform closing and consolidation activities including period end close, consolidation journal entries, and preparation of trial balance - Perform closing department checks in accordance with the month end close timetable - Preparation of financial inputs to monthly management accounts - Support annual financial statements preparation and year end close activities - Perform intercompany journal entries and intercompany balance reconciliations - Apply all controls consistently and escalate any deviation, system issue, or exception immediately to the GL Manager - Process Compliance and Quality - Follow approved SOPs precisely at all times and support continuous improvement by identifying inefficiencies and raising recommendations to the GL Manager - Maintain quality standards and turnaround times agreed between the IDC and the onshore Finance team - Support the GL Manager in monitoring process performance and flagging risks to the GPO Lead - Knowledge Transfer and Collaboration - Actively participate in process walkthroughs, observation sessions, and supervised practice during the knowledge transfer period - Build effective working relationships with Finance colleagues and stakeholders as directed by the GL Manager, supporting seamless day-to-day operations - Systems and Reporting - Prepare reports and reconciliation schedules as required by the GL Manager and onshore Finance team - Support internal and external audits by preparing schedules, providing documentation, and responding to queries Qualifications - Part-qualified or newly qualified accountant — CA (ICAI), CMA (ICMAI), or ACCA preferred - The target profile is a CA finalist or newly qualified CA with 3 to 4 years of post-articleship experience in a shared service or GL environment, within an overall experience range of 3 to 6 years - Proven, independent ownership of month end close processes — journal preparation, accruals, prepayments, balance sheet reconciliations, and intercompany accounting — executed to deadline without supervision - Solid understanding of IFRS accounting standards - Hands-on experience with NetSuite ERP system or a comparable enterprise ERP (SAP, Oracle) - Proficiency in MS Excel including pivot tables, VLOOKUP, and reconciliation tools - Clear written and verbal communication skills in English — essential for working with onshore Finance teams in the UK and Ireland - Experience in a Shared Services Centre, Finance Operations team, or offshore delivery environment is required - Strong attention to detail, organisational skills, and ability to work to tight month end deadlines - Proactive and results-oriented with a strong sense of ownership and accountability Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes - And many more exciting benefits… drop us a note to find out more
Role Description This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer. The ideal candidate will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, Azure Data Factory, Azure Synapse Analytics, and SQL Server, to play an important role in developing and delivering early proofs of concept and production implementation. You will ideally have experience in building solutions using a variety of tools, and a proven track record in delivering high quality work to tight deadlines. Key Responsibilities - Design, develop, and maintain scalable data warehouse solutions Azure Synapse Analytics to support enterprise-level analytics and reporting needs. - Core responsibilities include building efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines using Azure Data Factory conducting thorough data validation to ensure accuracy and consistency, and providing support for Business Intelligence (BI) reporting initiatives. - Strong proficiency in SQL is required for querying and data manipulation, along with experience in dimensional data modelling to optimize analytical performance. - Familiarity with reporting and visualization tools such as Power BI or Tableau is essential. - Developing scalable and re-usable frameworks for ingestion and transformation of large data sets. - Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times. - Working with other members of the project team to support delivery of additional project components (Reporting tools, API interfaces, Search). - Evaluating the performance and applicability of multiple tools against customer requirements. - Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Qualifications - 3-5 years of experience in DWH implementation and should have Databricks experience. - Direct experience of building data pipelines using Azure. - Experience building data warehouse solutions using Azure Synapse Analytics. - Should have experience with Spark. - Candidates must possess hands-on experience with Structured Query Language (SQL), data quality management tools, and should be proficient in facilitating data exchange through Application Programming Interfaces (APIs). - Strong hands-on experience with SQL Server, advanced SQL query optimization, and relational database concepts. - Proficiency in the data concepts related to curation, archival, analysis, visualization and integrity. - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. - Strong analytical, critical-thinking, and problem-solving skills. - Excellent communication skills and team-oriented approach. - Bachelor’s or master's degree in computer science, Business Information Systems, Mathematics, or related quantitative field. Desired Skills - Good knowledge in at least one business intelligence solution (e.g., Power BI). - Additional knowledge of data governance principles and metadata management practices is considered a valuable asset. Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance. - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. - And many more exciting benefits… drop us a note to find out more.
Role Description The Pre Sales Architect will play a pivotal role in shaping and defining managed service solutions for new and existing customers across private and public sector markets. This role will suit an individual with broad experience across multiple service towers commonly delivered within a managed service contract, combined with deep subject matter expertise in one or more tower areas. The successful candidate will be able to operate both as a tower specialist and as an overall Solution Owner, taking an end-to-end cross tower view to ensure that solutions are robust, deliverable, commercially viable, and aligned to customer objectives. Working closely with commercial, sales, technical, and delivery teams, the Pre Sales Architect will identify, qualify, and shape complex multi tower managed service opportunities. Acting as Solution Owner on strategic pursuits, the role will bring together tower leads and specialist contributors to create integrated solutions that stack up operationally, technically, and commercially. These service towers may include: - Service Desk - ServiceNow - Application Support - Cloud Support across Azure, AWS and OCI - Service Management and Governance - ITIL Service Design - Security Operations - End User Compute - Other related managed services This is a senior, client-facing role requiring significant industry experience, strong communication skills, and the ability to lead virtual teams through the full solution lifecycle. The Pre Sales Architect will provide leadership across commercial, pre-sales, finance, and delivery functions to develop winning propositions that balance customer outcomes, delivery practicality, risk, and profitability. The role demands credibility with senior customer stakeholders and the ability to translate complex service and technical concepts into clear, compelling propositions. The Pre Sales Architect will have experience of complex bidding environments and formal procurement processes and will contribute across the full sales lifecycle, from early qualification and customer discovery through solution development, governance, pricing, contract negotiation, transition, and into steady state service delivery. This role will also support the continuous enhancement of the managed services portfolio by identifying opportunities to improve service innovation, competitiveness, and customer value. The Pre Sales Architect should also be able to provide input and advice as to how we enhance and improve the Managed Service offering that Version 1 provides, focusing on technical and service innovations. The aim being to develop our offering, so that it provides real business value to our customers and therefore becomes a more compelling proposition to them. Qualifications - Demonstrable experience in a pre-sales, solution architecture, or service design role within a managed services environment. - Broad understanding of service towers typically delivered within managed service contracts, with deep expertise in one or more tower areas. - Experience of acting as Solution Owner on complex opportunities, taking cross tower accountability for solution coherence, delivery viability, and commercial alignment. - Adept at using AI and large language models to support the end to end Pre Sales lifecycle. - Strong commercial awareness, including experience of solution costing, pricing inputs, commercial risk assessment, and pricing to win considerations. - Experience of supporting formal bid and procurement responses, including RFI, RFP, and ITT submissions. - Strong stakeholder management, communication, and presentation skills, with the ability to engage confidently with both technical and executive audiences. - Ability to lead virtual and cross functional teams, coordinate specialist inputs, and drive solutions through to a successful conclusion. Requirements - At least five years in a pre-sales, solution architecture, or service design role. - Proven track record of shaping and winning complex multi tower opportunities. - Comfortable operating across both strategic and detailed solution discussions. Benefits - Quarterly Performance-Related Profit Share Scheme. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes. - Flexible/remote working. - Financial Wellbeing initiatives including Pension, Private Healthcare Cover, Life Assurance, Financial advice, and Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave, and special leave policies. - Educational assistance, incentivised certifications, and accreditations. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives. - And many more exciting benefits.
Role Description We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands-on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration. The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation. Key Responsibilities - Design, build, and deploy machine learning solutions that solve real business problems, moving from prototype to production. - Apply traditional ML (e.g., regression/classification/clustering) and deep learning techniques where appropriate, selecting models based on evidence and constraints. - Demonstrate strong ML fundamentals, including the mathematics behind models (probability, statistics, optimisation, linear algebra), and explain trade-offs clearly. - Develop and deploy ML and data science solutions from proof of concept to production. - Perform data exploration, feature engineering, and model development on large datasets. - Track experiments, metrics, and model versions (e.g. MLflow). - Collaborate with data engineers and AI engineers to integrate models into platforms. - Continuously improve models based on performance, feedback, and data drift. Qualifications - 5+ years in applied machine learning and deep learning roles. - Strong grounding in core ML concepts and their mathematical basis: - Probability & statistics, hypothesis testing, bias/variance, regularisation. - Optimisation (e.g., gradient-based methods), loss functions, evaluation metrics. - Linear algebra fundamentals used in ML (vectors/matrices, decompositions at a practical level). - Solid practical experience with traditional ML modelling (feature engineering, model selection, validation, and error analysis). - Demonstrable exposure to deep learning (architectures, training dynamics, evaluation), beyond “surface-level” familiarity. - Proven ability to build good quality software, not just models—clean code, testing, debugging, and maintainable design. - Strong programming skills (typically Python; additional languages a plus) and experience integrating ML into production systems. - A clear problem-solving mindset: structured thought process, ability to reason through ambiguous requirements, and iterate effectively. - Hands-on experience delivering ML solutions end-to-end, including prototyping, validation, and production/operations. - Experience with Databricks and Spark. - Hands-on use of MLflow or similar model lifecycle and MLOps frameworks. - Experience with deep learning frameworks (e.g. PyTorch). - Practical experience with GenAI / LLMs. - Exposure to AWS Bedrock & AWS SageMaker. - Strong SQL and data analysis skills. Nice to Have - Experience in regulated or security conscious environments. - Familiarity with model governance, monitoring, and managing model performance over time. - Exposure to production model deployment patterns. - Familiarity with Responsible AI and model governance. - Client facing or consulting experience. Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance. - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. - And many more exciting benefits… drop us a note to find out more. Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. - UK & Ireland's premier AWS, Microsoft & Oracle partner. - 3300+ strong, €350/£300m revenue business. - 10+ years as a Great Place to Work in Ireland & UK. - Best Workplace for Women in the UK & Ireland by GPTW. - Best Workplace for Wellbeing in the UK by GPTW.
Role Description This is a 'ServiceNow Product Manager' position, essentially owning the platform and acting as the interface between the business from a delivery perspective and the managed service provider from a support / development / strategy perspective. Typical responsibilities and skills would include: - Product Strategy & Vision - Define and own the product vision for specific ServiceNow domains (e.g. ITSM, CSM). - Align the platform roadmap with business strategy, customer needs, and organisational priorities. - Translate high‑level goals into clear product objectives, KPIs, and success measures. - Roadmap & Backlog Ownership - Own the product roadmap, balancing: - Technical debt - Platform upgrades - New capability development - Regulatory / security requirements - Maintain and prioritise the product backlog (epics, features, enhancements). - Stakeholder Management - Act as the primary interface between: - Business stakeholders - Service owners - Delivery teams (developers, admins, testers) - Run product forums, roadmap reviews, and prioritisation sessions. - Demand & Intake Management - Define and manage demand intake processes (ideas, enhancements, change requests). - Ensure consistency and transparency in prioritisation decisions. - Platform Governance & Standards - Ensure adherence to: - Platform design standards - Data model integrity - Naming conventions - Reuse and configuration-over-customisation principles - Guard against platform sprawl and unmanaged customisation. - Partner with architects on technical direction and guardrails. - Adoption & Enablement - Drive user adoption through: - Feature communication - Training and enablement plans - Feedback loops - Measure adoption and adjust roadmap accordingly. Qualifications - Strong working knowledge of ServiceNow architecture (single instance, scoped apps, update sets). - Configuration vs customisation best practice. - ACLs, roles, groups, and data security. - Integration patterns (REST, MID Server concepts). - Performance considerations and technical debt risks. - Experience with ServiceNow reporting and Platform Analytics. - Comfort translating metrics into business outcomes. - Understanding of data quality, imports, and CMDB health. Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work-life balance. - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. - And many more exciting benefits… drop us a note to find out more.
Role Description Version 1 has built one of the most credible internal AI transformation programmes in the UK and Ireland IT services market - with adoption, productivity, and business impact that rank among the best evidenced in the sector. We are now creating a new AI Director position to consolidate that momentum under a single leader and accelerate the next phase of AI growth. The role reports directly to the CTO. The Director of AI operates as an enterprise-wide leadership role across OCTO, Commercial, Delivery Practices and Group Operations. The role is accountable for defining Version 1’s AI strategy, technical standards, delivery accelerators, commercial AI propositions, and internal AI transformation roadmap. - AI Financial Target / KPI’s - Own the attainment of AI Solution and Intelligent Application TCV and revenue target KPIs. - Be an executive sponsor on major AI pursuits across various sectors. - Internal AI Transformation - Own Version 1’s “Customer Zero” position. - Drive continued progress against the adoption roadmap. - Oversee the AI CoE and ensure efficiency savings and metrics are measured rigorously. - AI Technical Standards & Architecture - Set the AI architecture and technology standards. - Ensure coherence in propositions shaped in OCTO and enabled in commercial. - Maintain consistency in Version 1’s approach to agentic AI and responsible AI. - Team Leadership & Capability - Direct leadership of the AI CoE. - Support shared functions in strategic initiatives. - External Presence - Represent Version 1 at industry events and in executive client conversations. - Shape how Version 1 is positioned as the AI landscape evolves. Qualifications - Strong technical foundation, likely an engineering or computer science degree. - Proven track record in a senior AI or technology leadership role. - Deep technical knowledge of enterprise AI, including generative AI and LLM-based systems. - Experience leading AI adoption programmes inside large organisations. - Demonstrated ability to lead technical pre-sales engagements at enterprise level. - Experience working with enterprise customers in regulated industries. - Track record of building and scaling high-performing technical teams. - Credibility in working alongside commercial sales leaders. - Credibility as an external thought leader. Requirements - Familiarity with UK and EU AI regulatory frameworks. - Experience with outcome-based commercial models and enterprise AI ROI methodologies. - Existing relationships with hyper scaler or AI vendor partner ecosystems. Benefits - Quarterly Performance-Related Profit Share Scheme. - Strong Career Progression & mentorship coaching. - Flexible/remote working options. - Financial Wellbeing initiatives including Pension and Private Healthcare Cover. - Employee Wellbeing schemes including Gym Discounts and Mindfulness Workshops. - Educational assistance and incentivised certifications. - Reward schemes including Version 1’s Annual Excellence Awards. - Environment, Social and Community First initiatives. - And many more exciting benefits.
57more opportunities are still waiting for you.Log in now and take your next shot before someone else does.