Cloud Support Engineer (Azure and AWS) Eastbourne £45,000 to £55,000 + Training + Progression + Company Benefits Are you a Support Engineer with AWS and Azure platform experience, who wants to join an e-commerce business with state-of-the-art and exciting project pipeline? Do you want the chance to be part of an established and successful business that is quickly becoming the go to name in the e-comme click apply for full job details
Jan 29, 2026
Full time
Cloud Support Engineer (Azure and AWS) Eastbourne £45,000 to £55,000 + Training + Progression + Company Benefits Are you a Support Engineer with AWS and Azure platform experience, who wants to join an e-commerce business with state-of-the-art and exciting project pipeline? Do you want the chance to be part of an established and successful business that is quickly becoming the go to name in the e-comme click apply for full job details
Job Title: Digital Systems Engineer Location: London / Hybrid Salary : £45,000 - £55,000 per annum based upon experience plus discretionary bonus and comprehensive benefits Job Type: Full Time, Permanent Organisation Overview: The organisation is the trade association which brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve. With over 1100 members (the majority of which are SMEs) across the UK, the organisation creates a network for innovation and collaboration across business, government and stakeholders to provide a better future for people, society, the economy and the planet. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Role purpose: We're looking for a Digital Systems Engineer to design, build, and continuously improve the internal digital tools that support our members and staff. Working as part of our Digital Team, you'll take a hands-on role in developing and maintaining our CRM, digital product stack and associated products and systems, building integrations and automations, and ensuring our tools are reliable, well-designed, and genuinely useful for the people who rely on them every day. Key Responsibilities: Design, build and improve internal systems: Customise and extend our Microsoft Dynamics 365 CRM Build and maintain integrations between systems using APIs Develop automations and backend services (e.g. Azure Functions) Improve system reliability, performance, and data quality Own internal digital products: Work with a Business Analyst and stakeholders to understand user needs Translate requirements into well-designed technical solutions Deliver changes iteratively and measure their impact Balance short-term fixes with longer-term improvements Support and enable colleagues: Act as a point of escalation for technical issues with internal tools Investigate and resolve problems efficiently Provide training, documentation, and guidance to help teams work confidently with digital systems Contribute to the wider digital team: Help shape standards, ways of working, and technical direction Share knowledge and support colleagues across the team Identify opportunities where digital tools can deliver meaningful improvements About you: Skills, Knowledge and Expertise: Essential Knowledge and Experience: Experience designing and maintaining internal digital systems Strong understanding of APIs, integrations, and data flows Ability to work closely with non-technical users and stakeholders A pragmatic, user-centred approach to building digital tools Programming experience Desired Knowledge and Experience: Experience with Microsoft Dynamics 365 or similar CRM platforms Experience building cloud-based services or automations (e.g. Azure) Experience working in small teams or resource-constrained environments Additional Information: This is a full time role based out of the organisation's London offices, however the organisation operates a flexible working policy. This role profile is a guide to the work that is required but does not form part of any contract of employment and may change from time to time to reflect changing circumstances. The successful candidate must have permission to work in the UK prior to the commencement of employment. About the organisation: We are a membership organisation that brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve in collaboration with our sister company. We collaborate across business, government and stakeholders to fulfil the potential of technology to deliver a stronger society and more sustainable future. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Please click APPLY to be redirected to our website to apply for this role. Candidates with experience of: IT Systems Engineer, Infrastructure Engineer, AWS Systems Engineer, IT Infrastructure Systems Engineer, Technical Developer, Digital Systems, Internal Systems IT Engineer may also be considered for this role.
Jan 29, 2026
Full time
Job Title: Digital Systems Engineer Location: London / Hybrid Salary : £45,000 - £55,000 per annum based upon experience plus discretionary bonus and comprehensive benefits Job Type: Full Time, Permanent Organisation Overview: The organisation is the trade association which brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve. With over 1100 members (the majority of which are SMEs) across the UK, the organisation creates a network for innovation and collaboration across business, government and stakeholders to provide a better future for people, society, the economy and the planet. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Role purpose: We're looking for a Digital Systems Engineer to design, build, and continuously improve the internal digital tools that support our members and staff. Working as part of our Digital Team, you'll take a hands-on role in developing and maintaining our CRM, digital product stack and associated products and systems, building integrations and automations, and ensuring our tools are reliable, well-designed, and genuinely useful for the people who rely on them every day. Key Responsibilities: Design, build and improve internal systems: Customise and extend our Microsoft Dynamics 365 CRM Build and maintain integrations between systems using APIs Develop automations and backend services (e.g. Azure Functions) Improve system reliability, performance, and data quality Own internal digital products: Work with a Business Analyst and stakeholders to understand user needs Translate requirements into well-designed technical solutions Deliver changes iteratively and measure their impact Balance short-term fixes with longer-term improvements Support and enable colleagues: Act as a point of escalation for technical issues with internal tools Investigate and resolve problems efficiently Provide training, documentation, and guidance to help teams work confidently with digital systems Contribute to the wider digital team: Help shape standards, ways of working, and technical direction Share knowledge and support colleagues across the team Identify opportunities where digital tools can deliver meaningful improvements About you: Skills, Knowledge and Expertise: Essential Knowledge and Experience: Experience designing and maintaining internal digital systems Strong understanding of APIs, integrations, and data flows Ability to work closely with non-technical users and stakeholders A pragmatic, user-centred approach to building digital tools Programming experience Desired Knowledge and Experience: Experience with Microsoft Dynamics 365 or similar CRM platforms Experience building cloud-based services or automations (e.g. Azure) Experience working in small teams or resource-constrained environments Additional Information: This is a full time role based out of the organisation's London offices, however the organisation operates a flexible working policy. This role profile is a guide to the work that is required but does not form part of any contract of employment and may change from time to time to reflect changing circumstances. The successful candidate must have permission to work in the UK prior to the commencement of employment. About the organisation: We are a membership organisation that brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve in collaboration with our sister company. We collaborate across business, government and stakeholders to fulfil the potential of technology to deliver a stronger society and more sustainable future. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Please click APPLY to be redirected to our website to apply for this role. Candidates with experience of: IT Systems Engineer, Infrastructure Engineer, AWS Systems Engineer, IT Infrastructure Systems Engineer, Technical Developer, Digital Systems, Internal Systems IT Engineer may also be considered for this role.
Job Title: Infrastructure and Security Engineer Location: York - Hybrid (4 days in office) Salary: £45,000 - £50,000 Why Apply? This Infrastructure and Security Engineer opportunity in York offers the chance to work within a cloud-first, Microsoft-led domain supporting both UK and USA operations in a Azure cloud environment click apply for full job details
Jan 29, 2026
Full time
Job Title: Infrastructure and Security Engineer Location: York - Hybrid (4 days in office) Salary: £45,000 - £50,000 Why Apply? This Infrastructure and Security Engineer opportunity in York offers the chance to work within a cloud-first, Microsoft-led domain supporting both UK and USA operations in a Azure cloud environment click apply for full job details
Azure Cloud Engineer - 1 Year Fixed Term Location: Carlisle (On-site 1 day per month) Working Model: Hybrid (Predominantly remote) Employment Type: 1 year FTC (Fixed Term) Overview A leading organisation is seeking an experienced Azure Cloud Engineer to join its growing technology function click apply for full job details
Jan 29, 2026
Full time
Azure Cloud Engineer - 1 Year Fixed Term Location: Carlisle (On-site 1 day per month) Working Model: Hybrid (Predominantly remote) Employment Type: 1 year FTC (Fixed Term) Overview A leading organisation is seeking an experienced Azure Cloud Engineer to join its growing technology function click apply for full job details
Enterprise Architect, Telco Consulting The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Cognizant Consulting At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value. Role Overview We are seeking a highly experienced Telco Enterprise Architect with a deep understanding of BSS, strong working knowledge across OSS, and broad technical insight across Network domains (Mobile, Broadband, IP/Transport, and Fixed Line). The ideal candidate will bring thought leadership, excellent communication skills, and hands on expertise in AI, Generative AI, and Agentic AI frameworks, enabling them to guide end to end digital transformation initiatives. This role requires a strategic thinker who can connect business objectives with technology architectures, design future state blueprints, and influence C level stakeholders within a large telecom environment. Key Responsibilities Enterprise Architecture & Strategy Develop enterprise level architecture blueprints covering BSS, OSS, Network, and cross domain integrations. Drive the creation of target operating models, capability maps, process architectures, and maturity assessments. Lead modernization initiatives across legacy BSS/OSS, cloud migration, network transformation, and digital customer experience. Champion architectural governance, solution review boards, and alignment to enterprise standards. BSS / OSS Architecture Architect end to end BSS processes: Customer Management, CRM, Order Management, Billing/Charging (OCS/OFCS), Product Catalogue, Digital Channels. Strong understanding of OSS domains: Service Assurance, Service Fulfilment, Inventory, Orchestration, and Network Management. Expertise in TM Forum standards (eTOM, TAM, SID, ODA) and Open APIs. Guide rationalisation of systems and design of convergent service architectures. Network Architecture Good understanding of Mobile (4G/5G), Fixed Line, Broadband, and Transport Network architectures. Awareness of network functions: RAN, Core, IMS, SDN/NFV, Transport, and network slicing concepts. Work closely with network teams to enable network to IT integrations and cloud native network architectures. AI/GenAI/Agentic AI Leadership Identify opportunities for AI and Agentic AI infusion across BSS, OSS, customer service, operations, field services, and network operations. Design AI enabled architecture patterns (decisioning, autonomous agents, automation, predictive operations). Work with data teams to define data models, AI pipelines, governance, and security patterns. Evaluate AI tools, LLMs, and agent frameworks suitable for telco enterprise environments. Provide thought leadership and influence stakeholders on AI transformation roadmaps. Delivery & Stakeholder Engagement Collaborate with product owners, solution architects, engineering teams, vendors, and system integrators. Support RFPs, technical evaluations, vendor assessments, and architecture governance processes. Present architectural recommendations to senior executives and steer decision making with clear business value. Translate complex technical landscapes into business friendly narratives. Required Skills & Experience Technical Competencies 10+ years of experience in telecom architecture roles. Strong expertise in BSS architecture + working knowledge in OSS, Telco Networks, Cloud, APIs. Practical experience with cloud native systems, microservices, Kubernetes, integration patterns, and event driven architecture. Exposure to AI/GenAI frameworks, RAG, vector databases, LLMOps, MLOps, and ideally multi agent/agentic architectures. Familiarity with industry tools (ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Salesforce, AWS/Azure/GCP). Business & Leadership Competencies Strong communication and stakeholder influencing skills. Ability to lead cross domain architectural discussions. Thought leadership in digital transformation, AI driven telco operations, and cloud native evolutions. Strong problem solving and strategic thinking. Preferred Qualifications TOGAF, TM Forum, Cloud certifications (AWS/Azure/GCP). Experience working with major telcos or global system integrators. Exposure to SAFe Agile environments. Why This Role Is Strategic This position plays a pivotal role in shaping the future of a digital, AI native telecom enterprise, driving convergence across IT, Network, and AI landscapes, and enabling the next generation of autonomous operations and customer experiences. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Jan 29, 2026
Full time
Enterprise Architect, Telco Consulting The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Cognizant Consulting At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value. Role Overview We are seeking a highly experienced Telco Enterprise Architect with a deep understanding of BSS, strong working knowledge across OSS, and broad technical insight across Network domains (Mobile, Broadband, IP/Transport, and Fixed Line). The ideal candidate will bring thought leadership, excellent communication skills, and hands on expertise in AI, Generative AI, and Agentic AI frameworks, enabling them to guide end to end digital transformation initiatives. This role requires a strategic thinker who can connect business objectives with technology architectures, design future state blueprints, and influence C level stakeholders within a large telecom environment. Key Responsibilities Enterprise Architecture & Strategy Develop enterprise level architecture blueprints covering BSS, OSS, Network, and cross domain integrations. Drive the creation of target operating models, capability maps, process architectures, and maturity assessments. Lead modernization initiatives across legacy BSS/OSS, cloud migration, network transformation, and digital customer experience. Champion architectural governance, solution review boards, and alignment to enterprise standards. BSS / OSS Architecture Architect end to end BSS processes: Customer Management, CRM, Order Management, Billing/Charging (OCS/OFCS), Product Catalogue, Digital Channels. Strong understanding of OSS domains: Service Assurance, Service Fulfilment, Inventory, Orchestration, and Network Management. Expertise in TM Forum standards (eTOM, TAM, SID, ODA) and Open APIs. Guide rationalisation of systems and design of convergent service architectures. Network Architecture Good understanding of Mobile (4G/5G), Fixed Line, Broadband, and Transport Network architectures. Awareness of network functions: RAN, Core, IMS, SDN/NFV, Transport, and network slicing concepts. Work closely with network teams to enable network to IT integrations and cloud native network architectures. AI/GenAI/Agentic AI Leadership Identify opportunities for AI and Agentic AI infusion across BSS, OSS, customer service, operations, field services, and network operations. Design AI enabled architecture patterns (decisioning, autonomous agents, automation, predictive operations). Work with data teams to define data models, AI pipelines, governance, and security patterns. Evaluate AI tools, LLMs, and agent frameworks suitable for telco enterprise environments. Provide thought leadership and influence stakeholders on AI transformation roadmaps. Delivery & Stakeholder Engagement Collaborate with product owners, solution architects, engineering teams, vendors, and system integrators. Support RFPs, technical evaluations, vendor assessments, and architecture governance processes. Present architectural recommendations to senior executives and steer decision making with clear business value. Translate complex technical landscapes into business friendly narratives. Required Skills & Experience Technical Competencies 10+ years of experience in telecom architecture roles. Strong expertise in BSS architecture + working knowledge in OSS, Telco Networks, Cloud, APIs. Practical experience with cloud native systems, microservices, Kubernetes, integration patterns, and event driven architecture. Exposure to AI/GenAI frameworks, RAG, vector databases, LLMOps, MLOps, and ideally multi agent/agentic architectures. Familiarity with industry tools (ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Salesforce, AWS/Azure/GCP). Business & Leadership Competencies Strong communication and stakeholder influencing skills. Ability to lead cross domain architectural discussions. Thought leadership in digital transformation, AI driven telco operations, and cloud native evolutions. Strong problem solving and strategic thinking. Preferred Qualifications TOGAF, TM Forum, Cloud certifications (AWS/Azure/GCP). Experience working with major telcos or global system integrators. Exposure to SAFe Agile environments. Why This Role Is Strategic This position plays a pivotal role in shaping the future of a digital, AI native telecom enterprise, driving convergence across IT, Network, and AI landscapes, and enabling the next generation of autonomous operations and customer experiences. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
What we're all about. Our DATA values-Determination, Ambition, Teamwork, Accountability-aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier. As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes. You will manage a global team of Partner Solution Architects (PSAs) responsible for hyperscaler and Industry ISV integrations and GSI technical delivery, ensure architectural excellence, and act as the executive owner of partner technical success, velocity, and co-innovation. Make Every Decision Count with Context The opportunity. Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline. This role will include: Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem Technical leadership of partner architecture Management of Partner Solution Architects as Player Coach i.e. Lead by example Execution of joint solution engineering with hyperscalers, industry ISV's & GSIs Executive engagement and business impact through ecosystem consumption & marketplace ARR What you'll be doing. Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations. Lead co innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks. Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions. Create enterprise grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk. Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation. Lead, mentor, and scale a global team of Partner Solution Architects focused on: Joint solution architecture Partner led PoCs/PoVs Demo and sandbox platforms Deployment acceleration Technical certifications and readiness Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry. Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs. Establish performance driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR. Partner with Field Alliances, Field Engineering and RVP's to enable and ensure Ecosystem attribution. Own hyperscaler and ISV technical partnership co innovation roadmaps, ensuring: Marketplace ready joint solutions Consumption and integration patterns tied to incentives Field delivery kits for PSA + partner sellers Hardened reference designs for repeatable pursuits Drive GSI partnerships into factory style delivery motions, launching industry solutions and field ready plays with global systems integrators. Govern multi party architecture risk, security, deployment patterns, rapid time to value, and executive sponsor checkpoints. Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co developed offerings and new pursuits. Working closely with Product, define our ecosystem's technical differentiation narrative-anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth-against point solutions and platform incumbents. Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally. What you'll bring. Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes. Ability to translate platform capability into partner owned architectures that scale across customer estates. Practitioner's mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs. Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large scale enterprise software or SaaS companies. Excellent experience of managing architect/engineering focused partner teams, PSAs, and global technical enablement functions. Demonstrated success driving multi cloud partner consumption ARR, joint solution launches, and co sell acceleration. Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders. Comfort operating across legal, sales, product, security, presales, and partner delivery functions. Willingness to travel globally (>40%). Why Join Us (Executive Value Proposition) Category leadership at the intersection of decisions, data, and AI. Unmatched hyperscaler and GSI ecosystem momentum ready for global technical scale. Opportunity to build a Partner Engineering org that sets industry standards for consumption velocity and architectural repeatability. A culture where DATA values drive outcomes A leadership team that rewards ownership, technical truth, ecosystem impact, and co innovation at scale. Our perks and quirks. What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits. We know that just having an excellent glass door rating isn't enough, so we've put together a competitive package as a way of saying thank you for all your hard work and dedication. We offer: Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12 month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well being Days, Calm App, Gym Discounts Team's Social Budget & Company wide Summer & Winter Parties Tech & Cycle to Work Schemes Volunteer Day off Dog friendly Offices Our mission. We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We're not a start up. Not anymore. But we've not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction - the future. It's all about you. It's important to us that you feel welcome, valued and respected. After all, it's your individuality and passion for what you do that will make you Q. We see that - which is why we're proud to be an Equal Opportunity Employer. We've created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness - whoever you are - if you are a passionate, curious and caring human being who wants to push the boundaries of what's possible, then we want to hear from you. start. don't stop - Apply
Jan 29, 2026
Full time
What we're all about. Our DATA values-Determination, Ambition, Teamwork, Accountability-aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier. As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes. You will manage a global team of Partner Solution Architects (PSAs) responsible for hyperscaler and Industry ISV integrations and GSI technical delivery, ensure architectural excellence, and act as the executive owner of partner technical success, velocity, and co-innovation. Make Every Decision Count with Context The opportunity. Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline. This role will include: Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem Technical leadership of partner architecture Management of Partner Solution Architects as Player Coach i.e. Lead by example Execution of joint solution engineering with hyperscalers, industry ISV's & GSIs Executive engagement and business impact through ecosystem consumption & marketplace ARR What you'll be doing. Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations. Lead co innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks. Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions. Create enterprise grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk. Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation. Lead, mentor, and scale a global team of Partner Solution Architects focused on: Joint solution architecture Partner led PoCs/PoVs Demo and sandbox platforms Deployment acceleration Technical certifications and readiness Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry. Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs. Establish performance driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR. Partner with Field Alliances, Field Engineering and RVP's to enable and ensure Ecosystem attribution. Own hyperscaler and ISV technical partnership co innovation roadmaps, ensuring: Marketplace ready joint solutions Consumption and integration patterns tied to incentives Field delivery kits for PSA + partner sellers Hardened reference designs for repeatable pursuits Drive GSI partnerships into factory style delivery motions, launching industry solutions and field ready plays with global systems integrators. Govern multi party architecture risk, security, deployment patterns, rapid time to value, and executive sponsor checkpoints. Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co developed offerings and new pursuits. Working closely with Product, define our ecosystem's technical differentiation narrative-anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth-against point solutions and platform incumbents. Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally. What you'll bring. Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes. Ability to translate platform capability into partner owned architectures that scale across customer estates. Practitioner's mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs. Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large scale enterprise software or SaaS companies. Excellent experience of managing architect/engineering focused partner teams, PSAs, and global technical enablement functions. Demonstrated success driving multi cloud partner consumption ARR, joint solution launches, and co sell acceleration. Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders. Comfort operating across legal, sales, product, security, presales, and partner delivery functions. Willingness to travel globally (>40%). Why Join Us (Executive Value Proposition) Category leadership at the intersection of decisions, data, and AI. Unmatched hyperscaler and GSI ecosystem momentum ready for global technical scale. Opportunity to build a Partner Engineering org that sets industry standards for consumption velocity and architectural repeatability. A culture where DATA values drive outcomes A leadership team that rewards ownership, technical truth, ecosystem impact, and co innovation at scale. Our perks and quirks. What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits. We know that just having an excellent glass door rating isn't enough, so we've put together a competitive package as a way of saying thank you for all your hard work and dedication. We offer: Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12 month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well being Days, Calm App, Gym Discounts Team's Social Budget & Company wide Summer & Winter Parties Tech & Cycle to Work Schemes Volunteer Day off Dog friendly Offices Our mission. We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We're not a start up. Not anymore. But we've not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction - the future. It's all about you. It's important to us that you feel welcome, valued and respected. After all, it's your individuality and passion for what you do that will make you Q. We see that - which is why we're proud to be an Equal Opportunity Employer. We've created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness - whoever you are - if you are a passionate, curious and caring human being who wants to push the boundaries of what's possible, then we want to hear from you. start. don't stop - Apply
Overview We offer a flexible working policy that supports a healthy balance between personal and professional wellbeing. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while maintaining flexibility for meaningful work-life balance. Being an AI Principal Software Engineer at iManage Means Being an AI Principal Software Engineer at iManage Means You'll be at the forefront of AI research and practical engineering, working at the intersection where cutting-edge ML meets production systems serving millions of user queries. You'll work on a small, autonomous team with direct customer contact, taking ideas from the lab into production within an established DMS company with petabytes of data. This is an opportunity to make our customers' data truly work for them through AI-powered experiences. We view research and engineering as two sides of the same coin. You'll be shaping a new offering by learning directly from customers, analysing usage patterns, and applying your engineering skills to create transformative user experiences. You'll have the autonomy to experiment, fail fast, and iterate rapidly while building on iManage's decades of trust in the legal sector. iM Responsible For Designing and implementing retrieval systems that bridge traditional search with modern semantic understanding, making legal documents accessible to AI agents at scale Working directly with early adopter customers to understand their workflows, gather feedback, and rapidly iterate on solutions that solve their problems Building and optimising production systems that handle thousands of concurrent queries while maintaining sub-second latency Developing evaluation frameworks and metrics to continuously improve retrieval quality Taking ownership of complex challenges end-to-end, from initial research through production deployment Balancing research goals with practical engineering constraints, knowing when to leverage AI and when to build traditional solutions iM Qualified Because I Have The heart of a maker with hunger to solve complex problems and humbleness to maintain a learning mindset Bachelor's degree or higher in Computer Science with strong theoretical foundations in algorithms, data structures, and distributed systems 7+ years of engineering experience building and shipping production software Deep expertise in JVM ecosystem (Java/Scala) with proven ability to build high-performance, fault-tolerant systems Proven ability to be a "manager of one" - self-directed, taking initiative, and owning challenges Good judgment about when to apply AI solutions versus traditional engineering approaches Bonus Points If I Have Strong software engineering skills with a track record of building systems that scale in a SaaS environment Production experience with LLMs, including prompt engineering, context engineering, and token management Experience with implementing hybrid search strategies combining BM25 with vector embeddings, develop relevance algorithms and result ranking systems Experience with functional programming paradigms and their application to complex data processing problems Hands-on experience with evaluation frameworks for ML systems and A/B testing at scale Expertise in Kubernetes, Azure cloud services, and modern DevOps practices iManage Is Supporting Me By Creating an inclusive environment where you're encouraged to help shape the culture by bringing your unique perspective, not just by fitting in. Providing a market leading salary determined through a fair and consistent process, equitable for all our employees, and regularly reviewed against industry benchmarks. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay) Matching my pension contribution (up to 6%) Offering BUPA private medical insurance & a Simplyhealth cash plan to assist with the everyday costs. Providing Group life cover, including life insurance, income protection, and critical illness protection. Encouraging me to make use of our top-tier flexible time off policy, which includes 25 days of annual leave and the flexibility to take further additional time off as needed Having multiple company wellness days each year to prioritize mental health and well-being. Providing access to RethinkCare, a global behavioral health platform that enhances personal well-being, strengthens professional resilience, and empowers parental success through expert-led training and resources. iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using domain. If you have any concerns or questions about communications you have received, please send them to so our team members can review. About iManage At iManage, we are dedicated to Making Knowledge Work . Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry's best and brightest. That's the iManage way. It's how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Jan 29, 2026
Full time
Overview We offer a flexible working policy that supports a healthy balance between personal and professional wellbeing. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while maintaining flexibility for meaningful work-life balance. Being an AI Principal Software Engineer at iManage Means Being an AI Principal Software Engineer at iManage Means You'll be at the forefront of AI research and practical engineering, working at the intersection where cutting-edge ML meets production systems serving millions of user queries. You'll work on a small, autonomous team with direct customer contact, taking ideas from the lab into production within an established DMS company with petabytes of data. This is an opportunity to make our customers' data truly work for them through AI-powered experiences. We view research and engineering as two sides of the same coin. You'll be shaping a new offering by learning directly from customers, analysing usage patterns, and applying your engineering skills to create transformative user experiences. You'll have the autonomy to experiment, fail fast, and iterate rapidly while building on iManage's decades of trust in the legal sector. iM Responsible For Designing and implementing retrieval systems that bridge traditional search with modern semantic understanding, making legal documents accessible to AI agents at scale Working directly with early adopter customers to understand their workflows, gather feedback, and rapidly iterate on solutions that solve their problems Building and optimising production systems that handle thousands of concurrent queries while maintaining sub-second latency Developing evaluation frameworks and metrics to continuously improve retrieval quality Taking ownership of complex challenges end-to-end, from initial research through production deployment Balancing research goals with practical engineering constraints, knowing when to leverage AI and when to build traditional solutions iM Qualified Because I Have The heart of a maker with hunger to solve complex problems and humbleness to maintain a learning mindset Bachelor's degree or higher in Computer Science with strong theoretical foundations in algorithms, data structures, and distributed systems 7+ years of engineering experience building and shipping production software Deep expertise in JVM ecosystem (Java/Scala) with proven ability to build high-performance, fault-tolerant systems Proven ability to be a "manager of one" - self-directed, taking initiative, and owning challenges Good judgment about when to apply AI solutions versus traditional engineering approaches Bonus Points If I Have Strong software engineering skills with a track record of building systems that scale in a SaaS environment Production experience with LLMs, including prompt engineering, context engineering, and token management Experience with implementing hybrid search strategies combining BM25 with vector embeddings, develop relevance algorithms and result ranking systems Experience with functional programming paradigms and their application to complex data processing problems Hands-on experience with evaluation frameworks for ML systems and A/B testing at scale Expertise in Kubernetes, Azure cloud services, and modern DevOps practices iManage Is Supporting Me By Creating an inclusive environment where you're encouraged to help shape the culture by bringing your unique perspective, not just by fitting in. Providing a market leading salary determined through a fair and consistent process, equitable for all our employees, and regularly reviewed against industry benchmarks. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay) Matching my pension contribution (up to 6%) Offering BUPA private medical insurance & a Simplyhealth cash plan to assist with the everyday costs. Providing Group life cover, including life insurance, income protection, and critical illness protection. Encouraging me to make use of our top-tier flexible time off policy, which includes 25 days of annual leave and the flexibility to take further additional time off as needed Having multiple company wellness days each year to prioritize mental health and well-being. Providing access to RethinkCare, a global behavioral health platform that enhances personal well-being, strengthens professional resilience, and empowers parental success through expert-led training and resources. iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using domain. If you have any concerns or questions about communications you have received, please send them to so our team members can review. About iManage At iManage, we are dedicated to Making Knowledge Work . Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry's best and brightest. That's the iManage way. It's how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Jan 29, 2026
Full time
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Senior Azure Cloud Ops Engineer - Worthing/Hybrid £70,000 plus benefits/bonus - Hybrid working in Worthing office 2 days per week Core notes: Strong communications/stakeholder management skills. Technically confident in abilities and experience. Azure/Azure Native Services click apply for full job details
Jan 29, 2026
Full time
Senior Azure Cloud Ops Engineer - Worthing/Hybrid £70,000 plus benefits/bonus - Hybrid working in Worthing office 2 days per week Core notes: Strong communications/stakeholder management skills. Technically confident in abilities and experience. Azure/Azure Native Services click apply for full job details
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.CSR:We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you
Jan 28, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.CSR:We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Jan 28, 2026
Full time
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Jan 28, 2026
Full time
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Description: Functional/Automation Test Engineer Location: Cheltenham/ Gloucester - will be on site 5 days per week. At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it's something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world's leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations. We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us. At DXC, one of our platinum accounts has an opening for a Test Engineer. The successful candidate will work within multiple teams and will be highly organised, with excellent problem-solving skills and attention to detail. Your role will include executing functional tests and authoring significant revisions to test materials as necessary. Role responsibilities: Contribute to test planning, scheduling, and managing test resources; lead formal test execution phases on larger projects Define test cases and create integration and system test scripts and configuration test questionnaires from functional requirement documents Maintain defect reports and update reports following regression testing Adhere to and advocate use of established quality methodology and elevate issues as appropriate Understand the functional design of software products/suites being tested and their underlying technologies to facilitate authoring testware, diagnosing system issues, and ensuring that tests accurately address required business functionality Apply basic industry and functional area knowledge related to the software product being tested and applicable regulatory statutes to determine whether system components meet business specifications Develop specified testing deliverables over the lifecycle of the project What you will bring to the team: Excellent organisation and time management skills Effective analytical, planning, and problem solving skills Good personal computer and business solutions software skills Great communication and presentation skills with both peers and Client Ability to write lengthy procedural, step-based narrative test materials including the necessary testbed set up steps Ability to work independently and collaboratively Desirable Skills and Technologies Knowledge of varied OE; Windows, Redhat, Linux Exposure to Cloud and virtualisation technologies; AWS, Azure, VMWare Experience working with configuration management, defect tracking, query tools, software productivity tools, and templates used to create test scripts, trace matrices, etc. Experience working with software product testing and applicable regulatory statutes Experience in Oracle, SQL/PL_SQL, MongoDB, or other relevant programs What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Jan 28, 2026
Full time
Job Description: Functional/Automation Test Engineer Location: Cheltenham/ Gloucester - will be on site 5 days per week. At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it's something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world's leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations. We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us. At DXC, one of our platinum accounts has an opening for a Test Engineer. The successful candidate will work within multiple teams and will be highly organised, with excellent problem-solving skills and attention to detail. Your role will include executing functional tests and authoring significant revisions to test materials as necessary. Role responsibilities: Contribute to test planning, scheduling, and managing test resources; lead formal test execution phases on larger projects Define test cases and create integration and system test scripts and configuration test questionnaires from functional requirement documents Maintain defect reports and update reports following regression testing Adhere to and advocate use of established quality methodology and elevate issues as appropriate Understand the functional design of software products/suites being tested and their underlying technologies to facilitate authoring testware, diagnosing system issues, and ensuring that tests accurately address required business functionality Apply basic industry and functional area knowledge related to the software product being tested and applicable regulatory statutes to determine whether system components meet business specifications Develop specified testing deliverables over the lifecycle of the project What you will bring to the team: Excellent organisation and time management skills Effective analytical, planning, and problem solving skills Good personal computer and business solutions software skills Great communication and presentation skills with both peers and Client Ability to write lengthy procedural, step-based narrative test materials including the necessary testbed set up steps Ability to work independently and collaboratively Desirable Skills and Technologies Knowledge of varied OE; Windows, Redhat, Linux Exposure to Cloud and virtualisation technologies; AWS, Azure, VMWare Experience working with configuration management, defect tracking, query tools, software productivity tools, and templates used to create test scripts, trace matrices, etc. Experience working with software product testing and applicable regulatory statutes Experience in Oracle, SQL/PL_SQL, MongoDB, or other relevant programs What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Jan 27, 2026
Full time
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
The Association of Technology, Management and Applied Engineering
Hackney, London
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
Jan 27, 2026
Full time
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
At T V S D we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are T V S D. Job Description: The Integration & Delivery Manager plays a pivotal role in ensuring seamless customer onboarding, integration, and delivery of digital products and services. This role bridges customers, development, and leadership teams by translating business requirements into structured delivery plans, coordinating cross-functional execution, and ensuring customers gain measurable value from implemented solutions. The Integration & Delivery Manager also contributes to customer success enablement by coordinating documentation, user materials, and training programs that support adoption and satisfaction. This is not a hands-on technical role, but it requires a strong understanding of system design, data integrations and API principles to guide both internal teams and customers effectively. Key Responsibilities: Lead and manage customer onboarding, integration, and delivery projects from initiation to completion. Design and plan data integrations between internal and customer systems, ensuring interoperability and alignment with architecture standards. Understand and review system design principles, API specifications, and data models to guide integration planning. Translate customer requirements into structured technical and delivery plans, ensuring clear communication with all stakeholders. Coordinate across teams to ensure timely, high-quality delivery aligned with customer and business objectives. Oversee the preparation of user documentation, training materials, and customer enablement resources. Support customers post-implementation to drive adoption, satisfaction, and long-term success. Identify process improvements and contribute to standardizing delivery and integration practices. Report progress, risks, and opportunities to management and provide insights for strategic planning. Essential Requirements: A degree, or equivalent qualification/experience in Business, Information Technology, Project Management or a related field. Experience in project delivery, customer integrations, or onboarding in a digital or SaaS environment. Proven experience managing end-to-end delivery projects (planning, execution, handover) with multiple stakeholders. Strong understanding of system design, APIs, data exchange concepts, and the ability to interpret integration specs and data flows. Demonstrable customer-facing skills: requirement gathering, workshop facilitation, documentation of business and technical needs. Excellent communication skills (written and verbal), able to liaise effectively with non-technical and technical stakeholders. Strong organisational and coordination skills: managing multiple projects, risks, dependencies, and deliverables. Ability to work cross-functionally (development, product, operations, customer teams) and manage delivery through to go-live and adoption. Customer-success mindset: ensuring onboarding, training, and adoption reach successful outcomes and customer satisfaction. Proven ability to produce user documentation, training materials, and deliver user-enablement activities. Ability to travel if required for key customer engagements or workshops. Strong analytical skills and comfort working with dashboards, usage metrics, and customer adoption KPIs. Experience defining, implementing, and improving delivery frameworks, templates, and methodologies. Multinational/global rollout experience (managing integrations across regions, cultures, and time-zones). Desirable Skills: Project Management certification (e.g., PMP, PRINCE2, Agile/Scrum) or equivalent experience. Prior exposure to SaaS products, digital platforms, and recurring service models. Experience with SaaS onboarding, customer training, technical documentation, and training delivery. Familiarity with cloud environments (e.g., Azure, Power Platform) or enterprise integration environments. Experience in customer success or account management roles (identifying expansion opportunities, adoption metrics). At T V S D, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives. We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with T V S D Code of Ethics and Company values. We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of T V S D. Click here to find out more about Diversity at T V S D.
Jan 27, 2026
Full time
At T V S D we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are T V S D. Job Description: The Integration & Delivery Manager plays a pivotal role in ensuring seamless customer onboarding, integration, and delivery of digital products and services. This role bridges customers, development, and leadership teams by translating business requirements into structured delivery plans, coordinating cross-functional execution, and ensuring customers gain measurable value from implemented solutions. The Integration & Delivery Manager also contributes to customer success enablement by coordinating documentation, user materials, and training programs that support adoption and satisfaction. This is not a hands-on technical role, but it requires a strong understanding of system design, data integrations and API principles to guide both internal teams and customers effectively. Key Responsibilities: Lead and manage customer onboarding, integration, and delivery projects from initiation to completion. Design and plan data integrations between internal and customer systems, ensuring interoperability and alignment with architecture standards. Understand and review system design principles, API specifications, and data models to guide integration planning. Translate customer requirements into structured technical and delivery plans, ensuring clear communication with all stakeholders. Coordinate across teams to ensure timely, high-quality delivery aligned with customer and business objectives. Oversee the preparation of user documentation, training materials, and customer enablement resources. Support customers post-implementation to drive adoption, satisfaction, and long-term success. Identify process improvements and contribute to standardizing delivery and integration practices. Report progress, risks, and opportunities to management and provide insights for strategic planning. Essential Requirements: A degree, or equivalent qualification/experience in Business, Information Technology, Project Management or a related field. Experience in project delivery, customer integrations, or onboarding in a digital or SaaS environment. Proven experience managing end-to-end delivery projects (planning, execution, handover) with multiple stakeholders. Strong understanding of system design, APIs, data exchange concepts, and the ability to interpret integration specs and data flows. Demonstrable customer-facing skills: requirement gathering, workshop facilitation, documentation of business and technical needs. Excellent communication skills (written and verbal), able to liaise effectively with non-technical and technical stakeholders. Strong organisational and coordination skills: managing multiple projects, risks, dependencies, and deliverables. Ability to work cross-functionally (development, product, operations, customer teams) and manage delivery through to go-live and adoption. Customer-success mindset: ensuring onboarding, training, and adoption reach successful outcomes and customer satisfaction. Proven ability to produce user documentation, training materials, and deliver user-enablement activities. Ability to travel if required for key customer engagements or workshops. Strong analytical skills and comfort working with dashboards, usage metrics, and customer adoption KPIs. Experience defining, implementing, and improving delivery frameworks, templates, and methodologies. Multinational/global rollout experience (managing integrations across regions, cultures, and time-zones). Desirable Skills: Project Management certification (e.g., PMP, PRINCE2, Agile/Scrum) or equivalent experience. Prior exposure to SaaS products, digital platforms, and recurring service models. Experience with SaaS onboarding, customer training, technical documentation, and training delivery. Familiarity with cloud environments (e.g., Azure, Power Platform) or enterprise integration environments. Experience in customer success or account management roles (identifying expansion opportunities, adoption metrics). At T V S D, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives. We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with T V S D Code of Ethics and Company values. We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of T V S D. Click here to find out more about Diversity at T V S D.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
