Job Title: SC Cleared Data Integration Architect (Primary Care Data) Location: Hybrid/ 2-3 days near Bath Duration: 6 months with possible extension Rate: Up to £704 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions. What you'll be doing: Define end-to-end data integration architectures across primary, community, and secondary care systems. Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs. Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns. Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d). Support population health, quality reporting, and analytics pipelines. Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment. Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT). What you'll bring: Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems. Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care systems. Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks. Certification in TOGAF or similar architecture frameworks. Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey!
Apr 04, 2026
Full time
Job Title: SC Cleared Data Integration Architect (Primary Care Data) Location: Hybrid/ 2-3 days near Bath Duration: 6 months with possible extension Rate: Up to £704 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions. What you'll be doing: Define end-to-end data integration architectures across primary, community, and secondary care systems. Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs. Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns. Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d). Support population health, quality reporting, and analytics pipelines. Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment. Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT). What you'll bring: Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems. Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care systems. Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks. Certification in TOGAF or similar architecture frameworks. Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey!
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
Apr 04, 2026
Full time
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
Purpose of Onyx 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. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. 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. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. 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. Cross-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: We are looking for professionals with these required skills to achieve our goals: 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: Tuesday 6th January 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. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor 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 . click apply for full job details
Apr 04, 2026
Full time
Purpose of Onyx 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. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. 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. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. 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. Cross-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: We are looking for professionals with these required skills to achieve our goals: 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: Tuesday 6th January 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. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor 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 . click apply for full job details
Overview We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems - Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline What We Offer A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers" and Great Place to Work Certified (GPTW) 2023 & 2024.
Apr 04, 2026
Full time
Overview We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems - Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline What We Offer A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers" and Great Place to Work Certified (GPTW) 2023 & 2024.
Overview We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time Flexible and remote work Employee-centric culture Work-life balance Generous earnings Opportunities for growth About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: GitHub Actions, Jenkins) AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews and AI best practices Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 7-12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems A 'no-compromise' attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance and cost optimisation Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Experience with GitHub Actions, Docker, Kubernetes and cloud-native deployments Are obsessed with clean code, system scalability and performance optimisation Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills / Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam) Mobile and front-end web application development experience What We Offer At Newpage, we're building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer: A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers"andGreat Place to Work Certified (GPTW) 2023 & 2024.
Apr 04, 2026
Full time
Overview We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time Flexible and remote work Employee-centric culture Work-life balance Generous earnings Opportunities for growth About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: GitHub Actions, Jenkins) AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews and AI best practices Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 7-12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems A 'no-compromise' attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance and cost optimisation Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Experience with GitHub Actions, Docker, Kubernetes and cloud-native deployments Are obsessed with clean code, system scalability and performance optimisation Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills / Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam) Mobile and front-end web application development experience What We Offer At Newpage, we're building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer: A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers"andGreat Place to Work Certified (GPTW) 2023 & 2024.
Cloud Architect - Microsoft Azure Up to £70,000 (negotiable) + exceptional benefits Permanent Hybrid - Newbury We are looking for a Cloud Hosting Architect to lead the design, delivery, and ongoing improvement of enterprise cloud and on site hosting platforms. You will take ownership of architecture across Azure, ensuring critical business systems are secure, scalable, resilient, and cost-effective. This is a hands on architecture role with genuine influence, ideal for someone who enjoys shaping strategy as well as getting involved in delivery. The role Design and deliver scalable, secure, and sustainable hosting solutions on Azure (ideally with some AWS exposure) Lead technical discovery sessions, workshops, and site assessments Produce cloud architecture roadmaps and reference frameworks Embed InfoSec, SecOps, and data privacy principles into all designs Oversee solution delivery and work closely with engineers Produce clear technical documentation and reusable assets to support MVPs and POCs Ensure compliance with ISO 27001, Cyber Essentials Plus, and internal security policies Stay ahead of emerging technologies across cloud, AI/ML, and information security Skills and experience Strong hands on experience with Azure hosting and cloud technologies In depth knowledge of cloud platforms, Azure essential and AWS desirable Experience delivering cloud migrations or IT transformation programmes Good understanding of enterprise architecture principles Confident engaging with both technical and non technical stakeholders Knowledge of ISO 27001 and/or Cyber Essentials Plus If this sounds like an ideal role for you currently a Cloud Architect, Azure Cloud Architect, Cloud Solutions Architect, Hosting Architect or Enterprise Cloud Architect please apply with an up to date version of your CV for immediate consideration.
Apr 03, 2026
Full time
Cloud Architect - Microsoft Azure Up to £70,000 (negotiable) + exceptional benefits Permanent Hybrid - Newbury We are looking for a Cloud Hosting Architect to lead the design, delivery, and ongoing improvement of enterprise cloud and on site hosting platforms. You will take ownership of architecture across Azure, ensuring critical business systems are secure, scalable, resilient, and cost-effective. This is a hands on architecture role with genuine influence, ideal for someone who enjoys shaping strategy as well as getting involved in delivery. The role Design and deliver scalable, secure, and sustainable hosting solutions on Azure (ideally with some AWS exposure) Lead technical discovery sessions, workshops, and site assessments Produce cloud architecture roadmaps and reference frameworks Embed InfoSec, SecOps, and data privacy principles into all designs Oversee solution delivery and work closely with engineers Produce clear technical documentation and reusable assets to support MVPs and POCs Ensure compliance with ISO 27001, Cyber Essentials Plus, and internal security policies Stay ahead of emerging technologies across cloud, AI/ML, and information security Skills and experience Strong hands on experience with Azure hosting and cloud technologies In depth knowledge of cloud platforms, Azure essential and AWS desirable Experience delivering cloud migrations or IT transformation programmes Good understanding of enterprise architecture principles Confident engaging with both technical and non technical stakeholders Knowledge of ISO 27001 and/or Cyber Essentials Plus If this sounds like an ideal role for you currently a Cloud Architect, Azure Cloud Architect, Cloud Solutions Architect, Hosting Architect or Enterprise Cloud Architect please apply with an up to date version of your CV for immediate consideration.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Apr 03, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Overview Rezolve Ai is a leader in AI-powered commerce, delivering the Brain Suite (including Brain Commerce, Brain Checkout and the proprietary large-language-model "brainpowa") to major retailers, brands and payment-providers worldwide. We are looking for a seasonedTechnical Sales Lead who will serve as the strategic technology counterpart to key enterprise accounts and opportunities across Europe. In effect you'll act as the "field CTO" for the account/opportunity- deeply technical, commercially oriented, comfortable with C-suite discussions, and motivated by sales outcomes. You will partner with Account/Sales Executives and broader GTM teams to ensure our technology is positioned, deployed and scaled in ways that drive measurable business impact for customers, while translating that into revenue and growth for Rezolve Ai. Why Join Rezolve Ai Rezolve Ai is a publicly-traded (Nasdaq : RZLV) pure-play AI company focused on digital commerce and retail transformation. We are shaping the next era of "Agentic Commerce" - where autonomous AI agents reason, decide and transact on behalf of customers and brands across search, recommendation, purchase and fulfilment. You will join a high-growth, technology-driven sales organisation in EU, working with leading global brands and retailers, helping them unlock new revenue, customer experiences and operational efficiencies - while building your own commercial success. Key Responsibilities Strategic Account & Opportunity Leadership: Serve as the senior technical advisor for assigned strategic enterprise accounts in the EU region, aligning with the client's CIO/CTO, Head of Digital, eCommerce, and technology stakeholders. Co-define with sales leadership the go-to-market and account penetration strategy: understand business outcomes (e.g., conversion uplift, checkout abandonment reduction, personalized discovery, omnichannel/physical+digital integration) and map Rezolve's Brain Suite to them. Lead and shape large, complex opportunities: performing technical discovery, architecting solutions, mapping integrations (APIs, cloud, payment rails, omnichannel fulfilment), and articulating value at the executive level. Commercial & Sales Enablement: Work closely with Sales Executives to convert technical vision into commercial value - helping win and close deals by bridging the gap between technology capability and business benefit. Lead pre-sales activities: workshops, demos/proofs-of-concept, executive briefings, technical road-mapping and integration planning. Own the technical dimension of deal closure: ensure internal alignment (product, engineering, professional services) and customer confidence in solution robustness, scalability, security and future-proofing. Participate in pipeline reviews, deal forecasting and account reviews; drive measurable contribution to sales revenue and strategic account growth. Evangelism & Technical Leadership: Be the EU face of Rezolve Ai's technology for your accounts: articulate and evangelise the Brain Suite architecture (intelligence layer, payments layer, data layer) per the company's agentic-commerce vision. Advise clients on commerce-specific technology trends - such as conversational commerce, personalization, AI/LLM integration into commerce, payment rails (including digital-asset rails), omnichannel fulfilment, API-first architectures. Provide feedback from the field into product roadmap, and support the professional services/delivery organisation to drive adoption, scale and value realisation for customers. Cross-Functional Collaboration: Partner seamlessly with EU Sales, Global Partnerships, Professional Services, Product & Engineering to deliver a cohesive customer experience. Mentor and equip sales team members and pre-sales resources on the technical story, value messaging and enterprise buyer interactions. Qualifications Required 8+ years of experience in enterprise technology consulting, solution architecture, technical pre-sales or strategic sales for platform/SaaS companies - ideally in commerce, retail, payments or digital-experience domains. Proven ability to influence senior stakeholders (CIO/CTO/CDO) of large organisations, navigate complex enterprise sales cycles (multi-hundreds of thousands to multi-millions £/€). Strong technical foundation: cloud architectures, SaaS/API-first platforms, data & AI/ML (LLMs preferable), payments/checkout, omni-channel retail integrations. Familiarity with digital-asset/crypto payment rails is a plus. Outstanding communication skills: can translate technical capability into business outcomes, and present to both technical and non-technical executive audiences. Comfortable with travel across the EU region (up to 30%) and working across multiple markets/languages. Preferred: Prior experience in the retail or brand sector (omnichannel retail, global brands, enterprise commerce), experience working with major cloud platforms (Azure, Google Cloud) and understanding of marketplace/co-sell models. Technical background in software engineering, data/AI architecture, systems integration. Compensation & Performance Metrics Variable compensation will be tied to a mix of: Revenue contribution via deals influenced or won (in partnership with Account Execs); Technical win metrics (architecture robustness, client technical adoption, integration success); Customer outcomes (platform consumption, satisfaction/executive feedback, account expansion); Strategic account growth and retention within your portfolio. Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages.
Apr 03, 2026
Full time
Overview Rezolve Ai is a leader in AI-powered commerce, delivering the Brain Suite (including Brain Commerce, Brain Checkout and the proprietary large-language-model "brainpowa") to major retailers, brands and payment-providers worldwide. We are looking for a seasonedTechnical Sales Lead who will serve as the strategic technology counterpart to key enterprise accounts and opportunities across Europe. In effect you'll act as the "field CTO" for the account/opportunity- deeply technical, commercially oriented, comfortable with C-suite discussions, and motivated by sales outcomes. You will partner with Account/Sales Executives and broader GTM teams to ensure our technology is positioned, deployed and scaled in ways that drive measurable business impact for customers, while translating that into revenue and growth for Rezolve Ai. Why Join Rezolve Ai Rezolve Ai is a publicly-traded (Nasdaq : RZLV) pure-play AI company focused on digital commerce and retail transformation. We are shaping the next era of "Agentic Commerce" - where autonomous AI agents reason, decide and transact on behalf of customers and brands across search, recommendation, purchase and fulfilment. You will join a high-growth, technology-driven sales organisation in EU, working with leading global brands and retailers, helping them unlock new revenue, customer experiences and operational efficiencies - while building your own commercial success. Key Responsibilities Strategic Account & Opportunity Leadership: Serve as the senior technical advisor for assigned strategic enterprise accounts in the EU region, aligning with the client's CIO/CTO, Head of Digital, eCommerce, and technology stakeholders. Co-define with sales leadership the go-to-market and account penetration strategy: understand business outcomes (e.g., conversion uplift, checkout abandonment reduction, personalized discovery, omnichannel/physical+digital integration) and map Rezolve's Brain Suite to them. Lead and shape large, complex opportunities: performing technical discovery, architecting solutions, mapping integrations (APIs, cloud, payment rails, omnichannel fulfilment), and articulating value at the executive level. Commercial & Sales Enablement: Work closely with Sales Executives to convert technical vision into commercial value - helping win and close deals by bridging the gap between technology capability and business benefit. Lead pre-sales activities: workshops, demos/proofs-of-concept, executive briefings, technical road-mapping and integration planning. Own the technical dimension of deal closure: ensure internal alignment (product, engineering, professional services) and customer confidence in solution robustness, scalability, security and future-proofing. Participate in pipeline reviews, deal forecasting and account reviews; drive measurable contribution to sales revenue and strategic account growth. Evangelism & Technical Leadership: Be the EU face of Rezolve Ai's technology for your accounts: articulate and evangelise the Brain Suite architecture (intelligence layer, payments layer, data layer) per the company's agentic-commerce vision. Advise clients on commerce-specific technology trends - such as conversational commerce, personalization, AI/LLM integration into commerce, payment rails (including digital-asset rails), omnichannel fulfilment, API-first architectures. Provide feedback from the field into product roadmap, and support the professional services/delivery organisation to drive adoption, scale and value realisation for customers. Cross-Functional Collaboration: Partner seamlessly with EU Sales, Global Partnerships, Professional Services, Product & Engineering to deliver a cohesive customer experience. Mentor and equip sales team members and pre-sales resources on the technical story, value messaging and enterprise buyer interactions. Qualifications Required 8+ years of experience in enterprise technology consulting, solution architecture, technical pre-sales or strategic sales for platform/SaaS companies - ideally in commerce, retail, payments or digital-experience domains. Proven ability to influence senior stakeholders (CIO/CTO/CDO) of large organisations, navigate complex enterprise sales cycles (multi-hundreds of thousands to multi-millions £/€). Strong technical foundation: cloud architectures, SaaS/API-first platforms, data & AI/ML (LLMs preferable), payments/checkout, omni-channel retail integrations. Familiarity with digital-asset/crypto payment rails is a plus. Outstanding communication skills: can translate technical capability into business outcomes, and present to both technical and non-technical executive audiences. Comfortable with travel across the EU region (up to 30%) and working across multiple markets/languages. Preferred: Prior experience in the retail or brand sector (omnichannel retail, global brands, enterprise commerce), experience working with major cloud platforms (Azure, Google Cloud) and understanding of marketplace/co-sell models. Technical background in software engineering, data/AI architecture, systems integration. Compensation & Performance Metrics Variable compensation will be tied to a mix of: Revenue contribution via deals influenced or won (in partnership with Account Execs); Technical win metrics (architecture robustness, client technical adoption, integration success); Customer outcomes (platform consumption, satisfaction/executive feedback, account expansion); Strategic account growth and retention within your portfolio. Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages.
Overview Graduate Technology Roles - Software Development, QA Testing, DevOps & other opportunities (via the Graduate Development Programme) Location: North West, UK Application Requirements Right to work in the UK unsponsored for the duration of the programme Ability to work on site, five days per week Some roles require a high level of security clearance. For these, applicants must have been based in the UK for the last five years as a minimum Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas. Why Grayce? Grayce specialises in delivering change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high performing early career talent across major programmes of work. Our Accelerated Development Programme offers a structured, fast track route into industry. You will gain hands on experience with leading organisations while developing professional skills, earning industry recognised qualifications, and receiving dedicated coaching and mentoring throughout your journey. About Our Opportunities Grayce is seeking motivated graduates to join our Graduate Development Programme and begin their careers in technology. We are recruiting across a range of roles and are looking for individuals who demonstrate curiosity, adaptability, strong communication skills and a structured, analytical approach to problem solving. At Grayce, you will be supported by expert coaching and structured development while working with some of the UK's most respected organisations - from FTSE 100 and FTSE 250 companies to global technology leaders. You will join a team focused on continuous learning, collaboration and delivering measurable impact. Software Development Support the design, development and maintenance of enterprise level applications, contributing to feature development, engineering tasks and defect resolution. QA Testing Support software quality assurance through test preparation, execution, documentation and remediation activities, with opportunities to progress into automation or performance testing. DevOps Assist in the deployment, monitoring and optimisation of software systems, supporting automation, environment configuration, performance monitoring and operational improvements. Information Security Contribute to protecting systems and data by supporting security monitoring, incident response, vulnerability assessment and policy or control implementation. Service Desk / Service Management Provide first line technical support by triaging incidents, resolving service requests, escalating issues appropriately and supporting efficient IT service operations. What Makes a Great Grayce Analyst Academic Background Technical Skills (advantageous) An interest in building capability in areas such as: Programming languages including Java, Python or similar Test automation, BDD practices and tools such as Cucumber Performance testing concepts Cloud platforms (e.g., AWS, Azure or similar) Infrastructure as code principles and basic scripting CI/CD concepts, version control and deployment practices Microservices and containerisation concepts Agile delivery methodologies and tools such as Jira and Confluence Professional Skills Strong communication, structured thinking, stakeholder engagement, organisation and a commitment to continuous learning. Why Work for Us? Hands on experience working full time onsite with leading organisations, supported by accredited training and industry aligned development. Delivery You will typically work with one client during your time at Grayce, delivering high quality outcomes in a structured, professional environment. Dedicated coaching and support throughout your placement and development journey. Progression Completion of a minimum of six industry recognised accreditations, with clear pathways for progression and salary growth. 24/7 access to our Employee Assistance Programme, offering confidential financial, legal, health and wellbeing support. Notes The following content appears to be related to application submission, form fields and status messages and is not part of the role description. It has been omitted to keep the focus on the job content.
Apr 03, 2026
Full time
Overview Graduate Technology Roles - Software Development, QA Testing, DevOps & other opportunities (via the Graduate Development Programme) Location: North West, UK Application Requirements Right to work in the UK unsponsored for the duration of the programme Ability to work on site, five days per week Some roles require a high level of security clearance. For these, applicants must have been based in the UK for the last five years as a minimum Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas. Why Grayce? Grayce specialises in delivering change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high performing early career talent across major programmes of work. Our Accelerated Development Programme offers a structured, fast track route into industry. You will gain hands on experience with leading organisations while developing professional skills, earning industry recognised qualifications, and receiving dedicated coaching and mentoring throughout your journey. About Our Opportunities Grayce is seeking motivated graduates to join our Graduate Development Programme and begin their careers in technology. We are recruiting across a range of roles and are looking for individuals who demonstrate curiosity, adaptability, strong communication skills and a structured, analytical approach to problem solving. At Grayce, you will be supported by expert coaching and structured development while working with some of the UK's most respected organisations - from FTSE 100 and FTSE 250 companies to global technology leaders. You will join a team focused on continuous learning, collaboration and delivering measurable impact. Software Development Support the design, development and maintenance of enterprise level applications, contributing to feature development, engineering tasks and defect resolution. QA Testing Support software quality assurance through test preparation, execution, documentation and remediation activities, with opportunities to progress into automation or performance testing. DevOps Assist in the deployment, monitoring and optimisation of software systems, supporting automation, environment configuration, performance monitoring and operational improvements. Information Security Contribute to protecting systems and data by supporting security monitoring, incident response, vulnerability assessment and policy or control implementation. Service Desk / Service Management Provide first line technical support by triaging incidents, resolving service requests, escalating issues appropriately and supporting efficient IT service operations. What Makes a Great Grayce Analyst Academic Background Technical Skills (advantageous) An interest in building capability in areas such as: Programming languages including Java, Python or similar Test automation, BDD practices and tools such as Cucumber Performance testing concepts Cloud platforms (e.g., AWS, Azure or similar) Infrastructure as code principles and basic scripting CI/CD concepts, version control and deployment practices Microservices and containerisation concepts Agile delivery methodologies and tools such as Jira and Confluence Professional Skills Strong communication, structured thinking, stakeholder engagement, organisation and a commitment to continuous learning. Why Work for Us? Hands on experience working full time onsite with leading organisations, supported by accredited training and industry aligned development. Delivery You will typically work with one client during your time at Grayce, delivering high quality outcomes in a structured, professional environment. Dedicated coaching and support throughout your placement and development journey. Progression Completion of a minimum of six industry recognised accreditations, with clear pathways for progression and salary growth. 24/7 access to our Employee Assistance Programme, offering confidential financial, legal, health and wellbeing support. Notes The following content appears to be related to application submission, form fields and status messages and is not part of the role description. It has been omitted to keep the focus on the job content.
Overview Senior/Lead Data Solutions Architect Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description About us We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we're able to deliver change from the very first ideas through to deployment-building on our deep relationships at every level of government. We're part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand. If you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. The Role: Transform are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities. The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams. The data architect presents and translates the data management framework design that will meet the client business requirements. Key Responsibilities Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients Helping to scope and define the team and client's enterprise data management solution from conceptual, logical and physical data models and schemas Working with clients to understand needs, and best implement that with our available technology solutions Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering Constantly looking at new technologies and approaches that improve what we do Managing quality of outputs Planning and resourcing multiple projects simultaneously Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes Working with a range of data sources such as CRM, sales, research, and HR data Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir Managing and motivating teams and individuals Understanding and application of statistical and analytical methods Ability to lead, and to work well as part of, a team using the agile methodology Experience with Data Analysis and governance Our culture and our benefits Our culture is built on: Being one team; looking out for each other as a team The world never stops changing and we'll never stop learning Infinity & Beyond; we're crazy ambitious, not afraid to fail along the way (it's just falling with style) Integrity is everything; we're honest with each other and with our clients Diversity is our superpower; everyone's story is different, and we celebrate differences We're all in; we take on tough, complex challenges with lots of moving parts and we're committed to the work, our clients and each other Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work & electric car schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform we believe in a culture of inclusivity , we celebrate difference and believe that diversity makes our business more relevant , our work more meaningful and our people more empowered . We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process. If this sounds like you, please get in touch to discuss in more detail. Use of AI in CV and Interviews While we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
Apr 03, 2026
Full time
Overview Senior/Lead Data Solutions Architect Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description About us We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we're able to deliver change from the very first ideas through to deployment-building on our deep relationships at every level of government. We're part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand. If you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. The Role: Transform are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities. The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams. The data architect presents and translates the data management framework design that will meet the client business requirements. Key Responsibilities Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients Helping to scope and define the team and client's enterprise data management solution from conceptual, logical and physical data models and schemas Working with clients to understand needs, and best implement that with our available technology solutions Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering Constantly looking at new technologies and approaches that improve what we do Managing quality of outputs Planning and resourcing multiple projects simultaneously Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes Working with a range of data sources such as CRM, sales, research, and HR data Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir Managing and motivating teams and individuals Understanding and application of statistical and analytical methods Ability to lead, and to work well as part of, a team using the agile methodology Experience with Data Analysis and governance Our culture and our benefits Our culture is built on: Being one team; looking out for each other as a team The world never stops changing and we'll never stop learning Infinity & Beyond; we're crazy ambitious, not afraid to fail along the way (it's just falling with style) Integrity is everything; we're honest with each other and with our clients Diversity is our superpower; everyone's story is different, and we celebrate differences We're all in; we take on tough, complex challenges with lots of moving parts and we're committed to the work, our clients and each other Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work & electric car schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform we believe in a culture of inclusivity , we celebrate difference and believe that diversity makes our business more relevant , our work more meaningful and our people more empowered . We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process. If this sounds like you, please get in touch to discuss in more detail. Use of AI in CV and Interviews While we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
Overview Job Title: AWS DevOps Engineer Level: Consultant Locations: London, Manchester, Bristol, Birmingham Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British passport holder with no dual nationalism at the point of application. Note: The information relates to a specific client requirement. Accenture is a leading global professional services company providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualifications As a team: Collaborate with cross-functional teams to deliver innovative solutions. Foster a culture of continuous improvement and operational excellence. Responsibilities As a DevOps Engineer you will: Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning and configuration management. Monitor system performance and troubleshoot issues. Ensure security and compliance across all environments. Collaborate with development teams to ensure seamless integration and deployment. Required skills Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date Closing Date for Applications: 1st June 2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
Apr 03, 2026
Full time
Overview Job Title: AWS DevOps Engineer Level: Consultant Locations: London, Manchester, Bristol, Birmingham Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British passport holder with no dual nationalism at the point of application. Note: The information relates to a specific client requirement. Accenture is a leading global professional services company providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualifications As a team: Collaborate with cross-functional teams to deliver innovative solutions. Foster a culture of continuous improvement and operational excellence. Responsibilities As a DevOps Engineer you will: Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning and configuration management. Monitor system performance and troubleshoot issues. Ensure security and compliance across all environments. Collaborate with development teams to ensure seamless integration and deployment. Required skills Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date Closing Date for Applications: 1st June 2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
Senior Cloud Support Analyst page is loaded Senior Cloud Support Analystlocations: Remote United Kingdomtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR102587If you are looking for a meaningful career where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to relentlessly make supply chains better.We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency.Reporting to the Support Manager, the Senior Cloud Support Analyst provides high quality technical support to customers and colleagues across international regions, with a strong focus on advanced server infrastructure and SaaS operations. The role is responsible for analysing, progressing and resolving support tickets in line with defined targets and SLAs within a busy service desk environment. As continuous engagement with customers and internal teams is essential, the position requires excellent written and verbal communication skills, a customer focused approach and meticulous attention to detail. The successful candidate will be proactive, capable of working independently, and committed to delivering a reliable, professional support experience. What a day in life of looks like: Work closely with cloud and SaaS engineering teams to develop, maintain and enhance customer environments across hosted and distributed network infrastructures. Produce clear, high quality technical and customer facing documentation to support effective knowledge sharing and service delivery. Serve as a senior point of escalation for complex technical queries, guiding and supporting colleagues to resolve issues efficiently. Investigate, diagnose and resolve customer incidents and service queries, assessing their impact and assigning appropriate priorities in line with business needs. Ensure timely, professional customer communication, maintain accurate customer data, complete incident handovers and consistently meet defined SLAs. Participate in the Out of Hours rota to provide critical P1 support, ensuring continuity of service for urgent customer issues. What you bring to the team: Strong knowledge of cloud platforms (OCI, Azure, AWS) and experience managing advanced infrastructure such as WSFC, SQL clusters, routing protocols and load balancing. Proficient in Microsoft operating systems, SQL databases, server hardware and TCP/IP networking in commercial settings. Proven background in IT helpdesk or technical support roles working to defined SLAs. Able to maintain robust security and compliance standards to protect customer environments. Skilled in scripting tools such as Python and PowerShell. Excellent customer service, interpersonal abilities and fluent written and spoken English. Highly organised, detail oriented, proactive and able to work flexibly, including resolving urgent issues outside standard hours. Acts as a technical role model, supporting the development of wider team capabilities. Why join us At Infios, we're not just looking for employees; we're looking for partners in innovation, growth, and purpose. Meeting you where you are to create the future you need is at the core of who we are and what we do. Whether you're at the beginning of your career or a seasoned expert, we meet you on your journey, equipping you with the tools and opportunities to build the future you envision. Together, we will relentlessly work toward one common goal - making supply chains better. We believe the future is better when supply chains work better. We are an equal-opportunity employer and committed to inclusion in the workplace.At Infios, we believe that inclusion is a fundamental cornerstone of our success. We are committed to creating a safe and welcoming environment where every individual's unique experiences and perspectives are valued-whether they look, think, move, believe, or love differently.All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, religion, age, disability, veteran status, genetic information, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. If you require assistance or accommodation due to a disability during the recruiting process, please let us know at Disclaimer: This job advertisement is not designed to cover a comprehensive listing of all duties or responsibilities that are required for this job. Please note that any salary information is a general guideline only. Individual compensation will be determined by various factors such as the scope and responsibilities of the position, experience, education, skills, location, and market and business considerations. Applications must be submitted via our career site.
Apr 03, 2026
Full time
Senior Cloud Support Analyst page is loaded Senior Cloud Support Analystlocations: Remote United Kingdomtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR102587If you are looking for a meaningful career where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to relentlessly make supply chains better.We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency.Reporting to the Support Manager, the Senior Cloud Support Analyst provides high quality technical support to customers and colleagues across international regions, with a strong focus on advanced server infrastructure and SaaS operations. The role is responsible for analysing, progressing and resolving support tickets in line with defined targets and SLAs within a busy service desk environment. As continuous engagement with customers and internal teams is essential, the position requires excellent written and verbal communication skills, a customer focused approach and meticulous attention to detail. The successful candidate will be proactive, capable of working independently, and committed to delivering a reliable, professional support experience. What a day in life of looks like: Work closely with cloud and SaaS engineering teams to develop, maintain and enhance customer environments across hosted and distributed network infrastructures. Produce clear, high quality technical and customer facing documentation to support effective knowledge sharing and service delivery. Serve as a senior point of escalation for complex technical queries, guiding and supporting colleagues to resolve issues efficiently. Investigate, diagnose and resolve customer incidents and service queries, assessing their impact and assigning appropriate priorities in line with business needs. Ensure timely, professional customer communication, maintain accurate customer data, complete incident handovers and consistently meet defined SLAs. Participate in the Out of Hours rota to provide critical P1 support, ensuring continuity of service for urgent customer issues. What you bring to the team: Strong knowledge of cloud platforms (OCI, Azure, AWS) and experience managing advanced infrastructure such as WSFC, SQL clusters, routing protocols and load balancing. Proficient in Microsoft operating systems, SQL databases, server hardware and TCP/IP networking in commercial settings. Proven background in IT helpdesk or technical support roles working to defined SLAs. Able to maintain robust security and compliance standards to protect customer environments. Skilled in scripting tools such as Python and PowerShell. Excellent customer service, interpersonal abilities and fluent written and spoken English. Highly organised, detail oriented, proactive and able to work flexibly, including resolving urgent issues outside standard hours. Acts as a technical role model, supporting the development of wider team capabilities. Why join us At Infios, we're not just looking for employees; we're looking for partners in innovation, growth, and purpose. Meeting you where you are to create the future you need is at the core of who we are and what we do. Whether you're at the beginning of your career or a seasoned expert, we meet you on your journey, equipping you with the tools and opportunities to build the future you envision. Together, we will relentlessly work toward one common goal - making supply chains better. We believe the future is better when supply chains work better. We are an equal-opportunity employer and committed to inclusion in the workplace.At Infios, we believe that inclusion is a fundamental cornerstone of our success. We are committed to creating a safe and welcoming environment where every individual's unique experiences and perspectives are valued-whether they look, think, move, believe, or love differently.All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, religion, age, disability, veteran status, genetic information, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. If you require assistance or accommodation due to a disability during the recruiting process, please let us know at Disclaimer: This job advertisement is not designed to cover a comprehensive listing of all duties or responsibilities that are required for this job. Please note that any salary information is a general guideline only. Individual compensation will be determined by various factors such as the scope and responsibilities of the position, experience, education, skills, location, and market and business considerations. Applications must be submitted via our career site.
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
Apr 03, 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
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
Apr 03, 2026
Full time
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Apr 03, 2026
Full time
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 03, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
A leading cloud security firm in Greater London is looking for an experienced Expert Backend Engineer to join their expanding R&D team. You will be responsible for developing and maintaining large-scale distributed components that power the company. The ideal candidate should have over 8 years of experience in Backend Engineering and be familiar with cloud platforms like AWS and Azure. This role requires a commitment to writing clean, efficient code and collaborating with cross-functional teams to deliver high-quality features.
Apr 03, 2026
Full time
A leading cloud security firm in Greater London is looking for an experienced Expert Backend Engineer to join their expanding R&D team. You will be responsible for developing and maintaining large-scale distributed components that power the company. The ideal candidate should have over 8 years of experience in Backend Engineering and be familiar with cloud platforms like AWS and Azure. This role requires a commitment to writing clean, efficient code and collaborating with cross-functional teams to deliver high-quality features.
Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; or equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Apr 03, 2026
Full time
Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; or equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 03, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 03, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
