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(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details

Senior Cyber Security Engineer / Architect / Lead Location: Farnborough Security Clearance Level High: DV - Developed Vetting Role Overview Everything we do is built on a commitment to do the right thing for our customers, our people and our community. Our mission and our values guide the way we do business. The foundation of our Leidos culture is our Values, Beliefs and Expectations by which we select, recognise and reward employees. They create the environment that drives us toward our mission. Inspired to make a difference, we are committed to solving the world's toughest problems. Passionate about customer success, we work closely with our stakeholders to understand, shape, and deliver secure solutions that enable critical outcomes. United as a team, we are bound together by our conviction that ethics and integrity are core to how we operate. In this role, you will be a trusted security practitioner, working with minimal direction on a critical programme and helping to raise the security bar across engineering and operations. Because of a key strategic development and a new exciting business opportunity, we have a requirement for a security-cleared Senior Cyber Security Engineer based in the UK working at our Farnborough site and remotely. Leidos has more than 30 years' experience of developing and running some of the largest government systems in the world. We are currently hiring to expand our UK based technical team who support our delivery for the UK Govt. Come join our team and further develop your skills as we deliver and support systems key to the defence of the UK and partner nations. Being part of the Leidos team is a commitment to push yourself and those around you to do better, constantly adapt and learn new technologies. We're a passionate team and are committed to developing and growing our staff. Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defence, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. What Will You Be Doing? To support current program delivery, we currently have a permanent vacancy for a Senior Cyber Security Engineer to support the development and transition into live of a MOD application and infrastructure solution providing support to a critical operational end user. Leidos is seeking an enthusiastic protective security specialist to lead the implementation and assurance of security within a key defence project. You will contribute across the delivery lifecycle-shaping secure designs, defining and assuring controls, and providing senior-level security engineering support across protective and information security. You will have demonstrable experience applying recognised security frameworks (e.g., Government Functional Standard 007, NIST, CIS benchmarks) to real-world systems and services. You will be joining a team of highly skilled and highly motivated individuals who are working on one of the UKs leading programmes. Required Skills The Senior Cyber Security Engineer (T4) plays a critical role in protecting and enabling mission IT by combining deep technical expertise with pragmatic risk management. You will be able to work with minimal direction on a specific programme, taking responsibility for planning, implementing, and assuring security controls across infrastructure, platforms, and applications (including cloud services). You will provide clear security advice and assurance to stakeholders, typically aligned to HMG/MOD expectations and recognised standards (e.g., NIST, CIS benchmarks), and you will support teams by sharing knowledge and guiding good practice. Key Functions / Outputs Vulnerability Management, Reporting & Risk Prioritisation Endpoint, Identity & Cloud Security Engineering (AWS) Incident Response Leadership & Operational Security Secure Configuration, Hardening & Compliance Assurance Security Design Review, Change Impact Assessment & ST&V Stakeholder Engagement, Governance & Decision Support Documentation, Mentoring & Continuous Improvement Main Objectives Vulnerability Management, Reporting & Risk Prioritisation Perform regular vulnerability assessments and generate actionable reporting using approved toolsets. The process should focus on ensuring scanners and signatures are current, coverage is agreed, and findings are prioritised based on risk, mission impact, and exploitability. You will support (and where required lead) triage with engineering teams to drive remediation to closure and provide clear risk narratives to senior stakeholders. Code Scans: perform regular code scans to assess code quality, detect potential bugs, and identify security vulnerabilities; work with development teams to agree remediation approaches and prevent recurrence. Vulnerability Management Tooling: perform regular vulnerability management scans and ensure repositories/plugins are maintained to detect emerging vulnerabilities across endpoints, servers, and cloud workloads. Reporting: produce and quality assure recurring vulnerability and risk reporting for the cyber security and IA lead; highlight trends, systemic issues, and recommendations for control improvements. Endpoint, Identity & Cloud Security Engineering (AWS) Endpoint Protection: drive endpoint security posture through regular updates, policy tuning, and validation activities aligned to current threats and programme requirements. Antivirus and Anti malware Protection: perform assurance checks to ensure controls are deployed successfully, monitored, and kept up to date; define exceptions and compensating controls where needed. Network Controls: perform compliance checks and targeted audits of network security controls (e.g., firewall rules, segmentation, proxying) to ensure unauthorised access and threats are blocked and logged appropriately. Access Control & IAM: design and ensure access controls are implemented correctly to enforce least privilege and need to know across systems and data; provide oversight of privileged access, account lifecycle, and authentication policy. AWS Cloud Security: design and assure cloud security controls across networking, identity, logging/monitoring, and configuration management; validate guardrails and support secure landing zone patterns where applicable. Incident Response Leadership & Operational Security Incident Identification: help to recognise and confirm potential incidents through alerts, logs, and user reports; apply sound judgement to distinguish true threats from false positives. Incident Response: lead or provide senior support to containment, eradication, investigation, and recovery activities; coordinate with service owners and stakeholders to restore operations and capture lessons learning. Tickets & Requests: manage and resolve tickets raised to the Leidos Security group that require Cyber Security Engineering input; prioritise based on risk and impact, and mentor others through complex issues. Secure Configuration, Hardening & Compliance Assurance Patch Updates to Security Products: ensure security toolsets are kept up to date with patches and software updates; assess impact and coordinate change implementation in line with governance. System Compliance: perform and oversee regular compliance audits to ensure systems meet agreed baselines and best practices (e.g., CIS, STIG, NIST); manage exceptions with evidence based rationale and compensating controls. Security Enforcing Function Configuration: assist in the design, review, and improvement of security enforcing functions (e.g., GPOs, system policies, cloud guardrails) to ensure they are compliant, testable, and fit for purpose. Assurance Activities: conduct periodic technical assessments (configuration reviews, control testing, threat driven checks) to identify weaknesses and drive measurable improvements. Security Design Review, Change Impact Assessment & ST&V Security Impact Triage Tool (SITT): lead or support evaluation and impact assessment of proposed changes to security posture; provide clear recommendations, conditions, and required evidence for approval. Security Evaluation, Testing and Assurance (ST&V): plan and execute security evaluation and assurance activities for changes delivered through PI Planning; define test scope, coordinate evidence capture, and ensure outcomes are documented and traceable. Stakeholder Engagement, Governance & Decision Support Security Working Group (SWG) Customer/Supplier Security Forums Vulnerability Triage Security Workshop PI Planning Daily Standups (Blue/Green Team) Documentation, Mentoring & Continuous Improvement Senior Cyber Security Engineers are responsible for creating, maintaining, and reviewing high-quality documentation and security evidence. This includes High Level & Low Level Designs (HLD/LLD), Standard Operating Procedures (SOPs), risk assessments, and compliance/assurance reports. You will also support capability uplift through mentoring, knowledge sharing, and identifying opportunities to automate and improve security processes. Essential Experience Proven experience in a senior cyber security engineering role, delivering security outcomes across complex IT environments (on prem and/or cloud). . click apply for full job details

Sky UK is seeking an AI Specialist to design, build, and operationalise intelligent systems for Site Reliability Engineering, with a focus on reliability, scale and automation across our infrastructure. You will collaborate with SRE, platform and cloud teams, embedding AI-driven decision-making, predictive analytics, and autonomous remediation into our infrastructure platforms to improve efficiency and reduce incidents.

We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview We are seeking an AI Specialist to design, build, and operationalise intelligent systems that enhance Site Reliability Engineering (SRE) platforms and automate large-scale infrastructure operations. This role has a strong emphasis on reliability, scalability, and operational efficiency. You will work closely with SRE, platform, and cloud engineering teams, within a global technology support organisation to embed AI-driven decision-making, predictive analytics, and autonomous remediation into infrastructure platforms. Whatyou'lldo Infrastructure Automation at Scal e Design and deploy AI-powered automation frameworks for incident response and remediation (self-healing systems). Automate repetitive operational workflows across compute, storage, and networking layers. Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems. Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces). Ensure data quality, labelling, and feature engineering for ML models. Leverage observability tools to inform AI systems. Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows. Ensure robustness, explainability, and auditability of AI-driven decisions. Implement feedback loops to continuously improve model performance. Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems. Implement intelligent alerting systems to reduce noise and improve signal fidelity. Build predictive reliability models (e.g., capacity forecasting, failure prediction). Whatyou'llbring Strong experience in AI engineering, particularly in operational or systems contexts. Practical experience of SRE principles (SLIs, SLOs, error budgets, incident management). Strong experience of cloud platforms. Proficiency in Python (or similar). Desirableskills andexperience: Familiarity with LLMs for operational tooling (e.g., incident summarization, runbook automation). Experience building AIOps or autonomous operations platforms. Proven track record in reducing manual operational workload across SRE teams. Proven track record in reducing the Mean Time to Recovery (MTTR) through automated remediation. Benefits andperks There'sone thing peoplecan'tstop talking about when it comes tolifeatSky: theperks.Here'sa taster: Free SkyTVor NOWpackage,including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, includingSky Mobile,Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences We'veadopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 daysin the office per week. Who we are We'reSky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us meansyou'llbe bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers,colleaguesandsociety. We'rean equal opportunity employer and value diversity at our company.We'rea Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful,we'llask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role youare required tohave theappropriate rightto work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media. There's more to our work than work. We've built an inclusive culture where we can learn from each other and innovate together. There's plenty of opportunities for you to explore what you're passionate about.

We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. As a Staff AI Engineer, you will be the technical specialist connecting AI ambition to delivery reality across Sainsbury's Tech. This is a hands on engineering role with division wide scope. You will set the bar for how AI is engineered across the division, creating reusable patterns, defining standards and working across every Tech domain to ensure we build AI capabilities once and share them everywhere. The role is intentionally cross cutting. Where most engineers go deep in one team, you will go wide across many, identifying duplication, reducing friction, and leaving every team you touch with stronger AI engineering capability than before. This is not a policy role You'll write code, build proofs of concept, and solve hard problems alongside delivery teams. But your primary measure of success is the multiplier effect you create, not the features you ship directly. What you need to do Define and champion reusable AI engineering patterns, accelerators, and reference architectures that delivery teams across Sainsbury's Tech can adopt with confidence. Translate proven engineering workflows into reusable skills and agents that standardise delivery, reduce duplication, and accelerate teams across Sainsbury's Tech. Work across Tech domains (Customer, Channels, Supply Chain and Logistics, Argos, Data and AI Ecosystem, and more) to identify duplicated effort, converge on shared approaches, and reduce the cost of building AI solutions. Lead technical discovery and feasibility assessment for high priority AI opportunities, providing clear, evidence based recommendations on viability, effort and expected value. Build and maintain a living library of production ready patterns covering areas such as RAG, agentic AI, LLM integration, prompt engineering and responsible AI guardrails. Facilitate cross domain engineering forums, design reviews, and communities of practice, creating the conditions for AI engineering knowledge to flow freely across the organisation. Work hands on alongside delivery teams to accelerate them through complex technical challenges, pairing, coaching, and transferring capability rather than taking over. Influence the AI and data platform roadmap, working with Platform Engineering, Architecture, and the AI Centre of Excellence to ensure strategic tooling meets the needs of delivery teams. Contribute to engineering standards and guardrails for AI development, ensuring solutions are secure, observable, responsible, and aligned to our strategic platforms. Stay ahead of the rapidly evolving AI landscape, evaluating new models, frameworks and platform capabilities, and translating emerging potential into actionable patterns for the organisation. Champion responsible AI principles across every solution and team you engage with, ensuring outputs are fair, explainable, and aligned to our governance framework. What you need to know Deep, hands on engineering experience with AI technologies including large language models, generative AI and agentic systems. Proficiency in Python and modern cloud native development practices (Azure preferred). Practical experience with prompt engineering, retrieval augmented generation (RAG), fine tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large scale enterprise environments, navigating security, compliance, and integration complexity. Familiarity with Sainsbury's strategic platforms (Snowflake, Azure, AWS, Microsoft 365 Copilot) is advantageous. Awareness of responsible AI principles and practical experience applying them in delivery contexts. What you need to show A track record of engineering impact at organisational scale, not just team level. You have made other engineers and teams more effective, not just delivered your own work. Ability to move from ambiguous problem statements to working solutions at pace, comfortable operating in uncertainty and converging through experimentation. Strong technical communication skills, able to translate complex AI concepts clearly for non technical stakeholders and articulate trade offs confidently with engineering peers and architects. A genuine drive for knowledge sharing and capability building, actively lifting the AI engineering skills of those around you. Excellent collaboration and influencing skills, able to build trust quickly across Product, Engineering, Architecture, Data Science, and leadership. Strong judgement on build vs. buy vs. configure decisions, particularly in a fast moving AI tooling landscape. Comfort operating across the full spectrum from low code AI configuration to deep pro code engineering, selecting the right approach for each context. High levels of technical curiosity balanced with pragmatism, knowing when good enough the right call is and when rigour is non negotiable What decisions I can make Technical approach, architecture, and engineering standards for AI solutions across Sainsbury's Tech. Selection and curation of reusable AI patterns, accelerators, and reference implementations. Recommendations on feasibility, go/no go, and scaling readiness for AI proofs of concept. Tool and framework selection for shared AI engineering patterns, aligned to strategic platform direction. Support we will provide Access to personal development tools including industry leader Bitesize talks, online self development tools, and internal mentoring/coaching. Direct access to Sainsbury's AI and Data platforms, tooling, and cloud infrastructure. A collaborative environment working alongside Product, Architecture, Data Science, and Engineering leadership. Opportunities to attend external AI/ML events and conferences. Technical development resources, including access to relevant learning platforms, certifications, and emerging technology previews. Benefits Generous colleague discount across Sainsbury's, Argos, and Habitat Competitive holiday allowance Private Health Care Bonus scheme Pension plan Flexible / smarter working policy Access to special offers on gyms, restaurants, holidays, retail vouchers and more Work-life balance matters to us. We offer flexibility in how, when, and where you work, combining remote collaboration with the right balance of freedom to support your life outside work. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Fixed-Term Assignment Business area: Sainsbury's Tech Closing date: 31 July 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. As a Staff AI Engineer, you will be the technical specialist connecting AI ambition to delivery reality across Sainsbury's Tech. This is a hands on engineering role with division wide scope. You will set the bar for how AI is engineered across the division, creating reusable patterns, defining standards and working across every Tech domain to ensure we build AI capabilities once and share them everywhere. The role is intentionally cross cutting. Where most engineers go deep in one team, you will go wide across many, identifying duplication, reducing friction, and leaving every team you touch with stronger AI engineering capability than before. This is not a policy role. You'll write code, build proofs of concept, and solve hard problems alongside delivery teams. But your primary measure of success is the multiplier effect you create, not the features you ship directly. What you need to do Define and champion reusable AI engineering patterns, accelerators, and reference architectures that delivery teams across Sainsbury's Tech can adopt with confidence. Translate proven engineering workflows into reusable skills and agents that standardise delivery, reduce duplication, and accelerate teams across Sainsbury's Tech. Work across Tech domains (Customer, Channels, Supply Chain and Logistics, Argos, Data and AI Ecosystem, and more) to identify duplicated effort, converge on shared approaches, and reduce the cost of building AI solutions. Lead technical discovery and feasibility assessment for high priority AI opportunities, providing clear, evidence based recommendations on viability, effort and expected value. Build and maintain a living library of production ready patterns covering areas such as RAG, agentic AI, LLM integration, prompt engineering and responsible AI guardrails. Facilitate cross domain engineering forums, design reviews, and communities of practice, creating the conditions for AI engineering knowledge to flow freely across the organisation. Work hands on alongside delivery teams to accelerate them through complex technical challenges, pairing, coaching, and transferring capability rather than taking over. Influence the AI and data platform roadmap, working with Platform Engineering, Architecture, and the AI Centre of Excellence to ensure strategic tooling meets the needs of delivery teams. Contribute to engineering standards and guardrails for AI development, ensuring solutions are secure, observable, responsible, and aligned to our strategic platforms. Stay ahead of the rapidly evolving AI landscape, evaluating new models, frameworks and platform capabilities, and translating emerging potential into actionable patterns for the organisation. Champion responsible AI principles across every solution and team you engage with, ensuring outputs are fair, explainable, and aligned to our governance framework. What you need to know Deep, hands on engineering experience with AI technologies including large language models, generative AI and agentic systems. Proficiency in Python and modern cloud native development practices (Azure preferred). Practical experience with prompt engineering, retrieval augmented generation (RAG), fine tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large scale enterprise environments, navigating security, compliance, and integration complexity. Familiarity with Sainsbury's strategic platforms (Snowflake, Azure, AWS, Microsoft 365 Copilot) is advantageous. Awareness of responsible AI principles and practical experience applying them in delivery contexts. What you need to show A track record of engineering impact at organisational scale, not just team level. You have made other engineers and teams more effective, not just delivered your own work. Ability to move from ambiguous problem statements to working solutions at pace, comfortable operating in uncertainty and converging through experimentation. Strong technical communication skills, able to translate complex AI concepts clearly for non technical stakeholders and articulate trade offs confidently with engineering peers and architects. A genuine drive for knowledge sharing and capability building, actively lifting the AI engineering skills of those around you. Excellent collaboration and influencing skills, able to build trust quickly across Product, Engineering, Architecture, Data Science, and leadership. Strong judgement on build vs. buy vs. configure decisions, particularly in a fast moving AI tooling landscape. Comfort operating across the full spectrum from low code AI configuration to deep pro code engineering, selecting the right approach for each context. High levels of technical curiosity balanced with pragmatism, knowing when good enough the right call is and when rigour is non negotiable What decisions I can make Technical approach, architecture, and engineering standards for AI solutions across Sainsbury's Tech. Selection and curation of reusable AI patterns, accelerators, and reference implementations. Recommendations on feasibility, go/no go, and scaling readiness for AI proofs of concept. Tool and framework selection for shared AI engineering patterns, aligned to strategic platform direction. Support we will provide Access to personal development tools including industry leader Bitesize talks, online self development tools, and internal mentoring/coaching. Direct access to Sainsbury's AI and Data platforms, tooling, and cloud infrastructure. A collaborative environment working alongside Product, Architecture, Data Science, and Engineering leadership. Opportunities to attend external AI/ML events and conferences. Technical development resources, including access to relevant learning platforms, certifications, and emerging technology previews. Generous colleague discount across Sainsbury's, Argos, and Habitat Private Health Care Pension plan Access to special offers on gyms, restaurants, holidays, retail vouchers and more Work-life balance matters to us. We offer flexibility in how, when, and where you work, combining remote collaboration with the right balance of freedom to support your life outside work. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

AWS Specialist Sellers, Strategic Pursuits OpenAI Sales - London, UK and Munich, Germany About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world class scientists, engineers, and business leaders to translate frontier research into real world impact. Within OpenAI, the Go to Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the Role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co sell motion. You will partner closely with Account Directors, AWS field teams, and cross functional stakeholders to identify, shape, advance, and close high value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in London or Munich. We operate on a hybrid model of 3 days per week in office and offer relocation support. In this role, you will: Lead commercial execution of priority AWS/OpenAI co sell opportunities across strategic enterprise accounts. Identify and qualify high potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise wide transformation. Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. Develop customer facing value propositions that connect OpenAI capabilities with business priorities and AWS infrastructure strategies. Drive executive level engagement including customer meetings, business case development, negotiations, and account reviews. Coordinate cross functionally with Sales, Partnerships, Solutions Architecture, Product, Legal, Finance, and Deal Desk teams to progress complex opportunities. Build repeatable co sell playbooks, qualification frameworks, account planning processes, and sales assets to scale the joint motion. Manage pipeline health, forecasting inputs, deal risks, blockers, and escalation needs across assigned pursuits. Serve as a trusted advisor to Account Directors by bringing strategic selling expertise and deal structuring judgment. Maintain awareness of competitive dynamics across hyperscalers, GenAI platforms, and enterprise AI vendors. You might thrive in this role if you: Have 15+ years of experience in enterprise sales, strategic business development, cloud partnerships, or complex technology go to market roles. Have a strong track record of shaping and closing large scale enterprise technology deals. Bring experience in AI, GenAI, cloud, data, enterprise software, or professional services sales. Have worked in overlay sales, specialist seller, strategic pursuits, or partner led co sell environments. Understand AWS commercial models, enterprise account planning, cloud commitments, and partner operating rhythms. Can engage credibly with CIOs, CTOs, CDOs, business leaders, procurement teams, and partner executives. Demonstrate strong commercial judgment in opportunity qualification, deal strategy, and escalation management. Thrive in ambiguity and can build new operating motions from the ground up. Communicate clearly and synthesize technical, customer, and commercial inputs into actionable recommendations. Have prior experience at AWS, another major cloud provider, a leading enterprise software company, or a high growth AI company. Understand partner led sales motions involving hyperscalers, GSIs, or strategic technology partners. Bring familiarity with enterprise AI use cases across industries such as financial services, healthcare, retail, manufacturing, technology, energy, or public sector. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which 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 or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle 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 .

Avanade is the perfect stage to bring your thoughtful, energetic, and curious approach to technology consulting. Our talented Azure Platform Practice consists of some of the most dedicated and passionate professionals in the field and we plan to grow! With Avanade, you will be focusing on the Azure Public Cloud, Edge and Hybrid and working with the newest Microsoft technologies on exciting client projects. If you like pushing boundaries by outsmarting challenges, read on! Come join us. The Azure Platform Practice is at the core of Avanade's excellence: delivering high-quality, complex projects with global impact. We focus on building and running reliable and secure cloud foundations-from large scale landing zones to data and application platforms. We are committed to making our clients' cloud journey smooth-whether it's moving existing systems to help in datacenter exits, creating new cloud native solutions, or improving an existing cloud presence. Innovation and client satisfaction are part of our essence. Our team is a fast-growing, diverse group of more than 150 passionate enthusiasts and specialists in Azure technologies. We actively acknowledge and reward quality, encourage learning, and have a strong focus on the career and development opportunities of all our people, making sure our employees are proud of working at Avanade is central to us! Together we do what matters. What you'll do Use your deep knowledge of Azure cloud services to design resilient, scalable and secure cloud environments covering the full breadth of the Azure platform Design and implement Azure Landing Zones to establish a scalable, secure and compliant foundation for deploying cloud services Lead complex migrations for on premises infrastructure, applications, and databases to Azure Develop solutions for Edge and Hybrid scenarios by integrating Azure Stack and other technologies to extend Azure capabilities to on premises environments and edge devices Architect and deploy Cloud Native solutions using Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps Qualifications You have extensive experience leading the design, development, and deployment of Azure based solutions - you can see the big picture but maintain credible hands on skills You can take ownership of complex technical challenges and drive to conclusion You have great communication and interpersonal skills and can convey concepts so everyone understands You are able to build relationships with stakeholders at all levels - including up to C level You are comfortable overseeing and providing technical guidance to large and small teams to design and implement solutions You are able to work alongside delivery leadership to create and implement a work plan for your solutions About you Analytical, curious, agile Team player and good communicator Problem solver, patient, quality driven Self motivating Innovative mindset Why Avanade Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. A supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together we do what matters.

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year. Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.

Job Title: ICT Enterprise Specialist Location: Bridgend Salary: £47,046 - £54,696 per annum Job Type: Full Time, Permanent Working Hours: 37 hours per week Closing Date: 31/07/2026, 15:00 Are you looking for your next career step? Do you want to be a part of an Innovative Organisation? About us: South Wales Police is the largest police force in Wales, serving a population of approximately 1.3 million people across an area of 2,117 square miles. We are dedicated to keeping our communities safe and secure, and we rely on cutting-edge technology to support our operations. We have recently invested heavily in our ICT department with exciting new projects and opportunities funded by significant investment. We are going through a period of significant growth and technological change, there has never been a better time to join! The role: We are seeking a highly skilled and motivated Enterprise Systems Specialist. As an Enterprise Systems Specialist, you will be responsible for managing enterprise systems including servers, storage, and visualised platforms. Within the role, you may supervise junior ICT Specialists, and you will play a crucial role in ensuring service availability, security and standards compliance as well as driving process improvements and enhancing system performance. Key duties: Implement, configure and maintain enterprise systems. Design and deploy server infrastructure, including physical and virtual servers. Oversee server and storage performance tuning, patch management and firmware upgrades. Develop and maintain documentation for enterprise systems processes and procedures Collaborate with cross-functional teams to identify and solve system issues. Develop and maintain security protocols for enterprise systems Plan and execute disaster recovery and business continuity procedures. To provide IT specialist advice to business users and IT peers for your specialist technological area Manage Technical Staff within your technical area About you: Must be qualified to Degree level standard or be able to demonstrate equivalent skills and abilities. Experience of designing, implementing and technically leading on some of the following areas: Enterprise Systems Management, Monitoring, especially Microsoft Systems Centre Operations Manager or Azure Monitor HP Server hardware support Cloud Computing, especially Microsoft Azure Enterprise Unified Communications, especially Microsoft Exchange, Exchange On-Line, Microsoft Teams. Device Management Systems, especially Microsoft Systems Centre Configuration Manager/Intune Datacentre environments including Power Management, Air Conditioning, Security, Networking, Enterprise Security In depth knowledge of storage area networks (SAN), Network attached storage (NAS) and backup and recovery technologies. Expertise in server infrastructure design and deployment Experience with virtualization platforms such as VMware or Citrix Strong troubleshooting and problem-solving skills. Must be aware of the strategic operational implications of effective IT upon the organisation. Benefits: Training and professional development opportunities Local Government Pension Scheme 24 days Annual Leave increasing to 29 years after 5 years employment Flexible working dependant of duties Free on-site parking On site fitness centre and canteen Collaborative and supportive work environment Cycle to work scheme Wellness programmes SWP Diolch Vectis & Blue light Discount Card Opportunity to make a meaningful contribution to public safety and community well-being Additional Information: As a Force, we are committed to developing the overall structure of equality, diversity and inclusion across South Wales Police: in our workforce and in the services we provide. South Wales Police is an equal opportunities employer and is determined to attract, employ and support a workforce which is representative of the diverse society which it serves. We are committed to achieving a working environment which is free from any form of harassment, intimidation, bullying or victimisation. Applications are welcomed from all under-represented groups and support will be made available for all applicants as and when requested. Candidates with the relevant experience or job titles of: IT Systems Administrator - L3 / 3rd line, Wintel Systems Administrator - L3 / 3rd line, Windows Server Administrator - L3 / 3rd line, Windows Systems Administrator - L3 / 3rd line, IT Infrastructure Engineer, Senior Systems Engineer, Platform Engineer, Hybrid Infrastructure Engineer, Enterprise Systems Specialist, Infrastructure Engineer, Server Infrastructure Lead, Azure Systems Engineer, Systems Administrator, Datacentre Engineer, IT Infrastructure Architect, Microsoft 365 Specialist, Virtualization Engineer, Storage Engineer, Cloud Infrastructure Engineer, Enterprise IT Lead, Systems Manager, ICT Technical Specialist, Senior Infrastructure Administrator may also be considered for this role.