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At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role This role sits within the Basecamp Technology group, providing specialised engineering capabilities and scalable components to our Research and Trade Technology groups. Join a high-impact team building a greenfield, in-house storage platform to replace a major external vendor dependency. You'll work on a multi-year programme starting with data orchestration and tiering, and evolving into a custom distributed storage system tailored to large-scale research workloads. This is a great opportunity to shape core infrastructure from first principles, with direct impact on performance, cost, and research capability. Key responsibilities Design and build a storage abstraction layer enabling seamless data movement across tiers Develop tooling for automated dataset tiering and workflow integration Contribute to the design and implementation of a custom distributed storage platform Integrate with internal research systems and data platforms Optimise for performance, scalability, and reliability Collaborate with researchers to support evolving data needs Own systems end-to-end, from design through to production Who are we looking for? Strong software engineering experience, ideally with Rust Experience building distributed systems, infrastructure, or data platforms Solid understanding of systems design, performance, and scalability Ability to work on complex, low-level technical problems Experience with storage systems, large-scale data, or high-performance environments is a plus Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Purpose Join a blended agile delivery squad working on large-scale, secure digital services for a government client. As a Senior Developer, you will bring strong hands-on experience across both .NET and Python, contributing to cloud-native API development, Legacy modernisation, and DevSecOps practices - all within a Microsoft Azure environment and aligned to the highest engineering and security standards. Key Responsibilities Design, develop, and maintain full-stack applications and services using .NET Core and Python. Build and consume RESTful APIs following API-first and microservices design principles. Contribute to CI/CD pipelines in Azure DevOps - build, test, and deployment automation. Apply DevSecOps practices including SAST/DAST scanning, dependency management, and environment segregation. Participate in code reviews, uphold coding standards, and implement secure development practices. Support Legacy system modernisation - migrating from older Windows and .NET Framework environments. Produce clear technical documentation and contribute to architecture artefacts. Ensure all developed solutions meet WCAG AA accessibility standards. Work collaboratively with architects, lead developers, and delivery managers within an agile squad. Contribute to knowledge transfer and onboarding activities for client and team staff. Security Clearance - Mandatory SC (Security Check) clearance is mandatory for this role. Candidates must be eligible to obtain SC clearance. British nationality or a minimum of 5 years' UK residency is typically required. Clearance will be sponsored upon appointment. Essential Skills & ExperienceCore Languages - Mandatory.NET Core 10.0 & .NET Framework 4.8 [MANDATORY] Strong hands-on C# with solid grasp of OOP, design patterns, and SOLID principles. Experience building production-grade applications in both .NET Core and Framework environments. Python - Production-Grade Experience [MANDATORY] Proficiency with Astral UV, virtual environments, and Python dependency management. Ability to build, maintain, and deploy Python-based services and tooling. JavaScript/TypeScript Cloud, DevOps & Infrastructure Microsoft Azure - Cloud-Native Development Experience Azure DevOps - CI/CD Pipeline Design and Management Infrastructure as Code - Terraform and/or Bicep Containerisation - Docker and/or Kubernetes Development Practices - Mandatory RESTful API design, development, and life cycle management Secure development - SAST/DAST tooling, code review, OWASP awareness Technical documentation to a high standard On-site in Taunton, Somerset - 2 days per week minimum Desirable Skills & Experience Legacy Windows technologies - Win32, WPF, MFC/ATL, COM, MSI packaging. Geospatial data formats - GeoJSON, MBTiles, GML. Familiarity with MOD Secure by Design and NCSC software security standards. Experience working in UK public sector or government digital services. Python geospatial tooling or data pipeline experience. Tech StackAreaTechnologies Backend: .NET Core 10.0, .NET Framework 4.8, C#, Python (Astral UV), REST APIs, Microservices Frontend: JavaScript, TypeScript, HTML5, CSS3, WCAG AA Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Terraform, Bicep, Docker, Kubernetes Security: SAST/DAST, Secure by Design, SC Clearance (Mandatory) Geospatial: GeoJSON, MBTiles, GML (desirable) Tools: Git, Jira, Confluence, Azure DevOps Boards

Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .

Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands on AI Application Architect, helping design intelligent, agentic, cloud native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes. Role Overview As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end to end. What you'll do Architect AI powered applications using autonomous and semi autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. Modernise legacy applications using agentic AI for discovery, transformation, and refactoring. Define end to end architectures integrating traditional software, LLMs, vector stores, and orchestration. Drive AI adoption within Avanade Regions, enabling AI driven solution roadmaps. Contribute to solution planning and design across multi disciplinary and multi cloud environments. Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. Guide engineering, data, and DevOps teams on AI automation and pipeline integration. Travel occasionally for high value client engagements. Skills and Experience 12+ years of experience designing and developing enterprise scale applications. Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture. Expertise in Java or C# as a primary language; hands on experience with Python, Rust, and TypeScript/JavaScript. Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns. Strong Azure expertise preferred, with hands on exposure to AWS and GCP. Experience integrating AI into distributed systems, microservices, APIs, and event driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands on experience applying agentic patterns in real delivery work. Comfortable working at the intersection of software engineering, AI, cloud, and automation. Clear communicator across technical and non technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. You can benefit from minimum 80 hours of training per year and paid certifications.

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

A leading AI compute firm in Cambridge is looking for an experienced software engineer to design and validate high-quality software systems. The ideal candidate emphasizes maintaining code quality and enjoys building reliable systems. Responsibilities include developing automation for a complex ML software stack, working with CI/CD pipelines, and mentoring junior engineers. A competitive salary and comprehensive benefits are offered in a supportive work environment.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Purpose Join a blended agile delivery squad working on large-scale, secure digital services for a government client. As a Senior Developer, you will bring strong hands-on experience across both .NET and Python, contributing to cloud-native API development, Legacy modernisation, and DevSecOps practices - all within a Microsoft Azure environment and aligned to the highest engineering and security standards. Key Responsibilities Design, develop, and maintain full-stack applications and services using .NET Core and Python. Build and consume RESTful APIs following API-first and microservices design principles. Contribute to CI/CD pipelines in Azure DevOps - build, test, and deployment automation. Apply DevSecOps practices including SAST/DAST scanning, dependency management, and environment segregation. Participate in code reviews, uphold coding standards, and implement secure development practices. Support Legacy system modernisation - migrating from older Windows and .NET Framework environments. Produce clear technical documentation and contribute to architecture artefacts. Ensure all developed solutions meet WCAG AA accessibility standards. Work collaboratively with architects, lead developers, and delivery managers within an agile squad. Contribute to knowledge transfer and onboarding activities for client and team staff. Security Clearance - Mandatory SC (Security Check) clearance is mandatory for this role. Candidates must be eligible to obtain SC clearance. British nationality or a minimum of 5 years' UK residency is typically required. Clearance will be sponsored upon appointment. Essential Skills & ExperienceCore Languages - Mandatory.NET Core 10.0 & .NET Framework 4.8 [MANDATORY] Strong hands-on C# with solid grasp of OOP, design patterns, and SOLID principles. Experience building production-grade applications in both .NET Core and Framework environments. Python - Production-Grade Experience [MANDATORY] Proficiency with Astral UV, virtual environments, and Python dependency management. Ability to build, maintain, and deploy Python-based services and tooling. JavaScript/TypeScript Cloud, DevOps & Infrastructure Microsoft Azure - Cloud-Native Development Experience Azure DevOps - CI/CD Pipeline Design and Management Infrastructure as Code - Terraform and/or Bicep Containerisation - Docker and/or Kubernetes Development Practices - Mandatory RESTful API design, development, and life cycle management Secure development - SAST/DAST tooling, code review, OWASP awareness Technical documentation to a high standard On-site in Taunton, Somerset - 2 days per week minimum Desirable Skills & Experience Legacy Windows technologies - Win32, WPF, MFC/ATL, COM, MSI packaging. Geospatial data formats - GeoJSON, MBTiles, GML. Familiarity with MOD Secure by Design and NCSC software security standards. Experience working in UK public sector or government digital services. Python geospatial tooling or data pipeline experience. Tech StackAreaTechnologies Backend: .NET Core 10.0, .NET Framework 4.8, C#, Python (Astral UV), REST APIs, Microservices Frontend: JavaScript, TypeScript, HTML5, CSS3, WCAG AA Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Terraform, Bicep, Docker, Kubernetes Security: SAST/DAST, Secure by Design, SC Clearance (Mandatory) Geospatial: GeoJSON, MBTiles, GML (desirable) Tools: Git, Jira, Confluence, Azure DevOps Boards

We're looking for a passionate and experienced Senior Software Developer to join one of our agile squads. In this role, you'll be hands on in designing, building, and enhancing features across the PCI Pal product suite, while also setting the technical standard through mentorship, code reviews, and driving engineering best practices. You'll collaborate closely with testers, product owners, and team leads to deliver high quality, maintainable solutions in a fast moving environment. With responsibilities spanning feature development, infrastructure support, and continuous learning, this is an opportunity to shape both the product and the team around you through expert level contribution and thoughtful technical leadership. The successful candidate must be within commuting distance to both London and Ipswich. This is a hybrid role with expectation that when required, the successful candidate can travel to one of our offices at least once per week. Job requirements Strong experience in modern C#, TypeScript, HTML and CSS Strong cloud platform experience, ideally AWS Strong CI/CD experience Strong experience of using infrastructure as code (e.g., CDK, Terraform) Experience developing serverless applications (e.g., Lambda) A strong focus on architecture and code quality Experience of modern UI frameworks such as Vue or React Have a good understanding of SOLID principles and how to use design patterns to create robust, maintainable and testable code Strong understanding of object oriented programming and Dependency Injection Strong experience of integrating with third party services using APIs Experience writing performance critical code Experience using Git or a similar tool to track changes Experience with both the full .NET Framework and .NET Core Experience using observability systems such as Elastic APM or DataDog to track and diagnose issues in production A solid understanding of security principles and secure coding including OWASP Top 10 Nice to haves: Experience in VOIP (SIP and RTP advantageous) Experience of TDD/BDD/DDD Knowledge of PCI compliance and associated standards such as ISO 27001 Knowledge of accessibility standards and how to apply them (WCAG) Experience with developing CRM plugins Experience of Python and Data Analytics Experience of developing AI applications Working as part of a close knit squad of developers and testers to design, build and deliver high quality solutions in line with guidance and best practices of the department Providing technical guidance and mentorship to other members of your team Drive best practices - SOLID principles, design patterns and refactoring existing code to be more maintainable and efficient Writing code to develop, fix or enhance features within the PCI Pal product suite Working with your team lead and product owner to plan and refine projects Helping to ensure the team delivers high quality features on time in a rapidly changing environment Supporting the management of web infrastructure and performing associated health checks as needed Building and maintaining an expert knowledge of PCI Pal's products, services, and deployment methodology Creating internal technical and process documentation for your work to ensure knowledge is shared with the wider engineering team Maintain high standards of software quality within the team by establishing good practices and habits Writing testable, scalable and efficient code and leading code reviews Supporting live products Learning new technologies and keep abreast of existing technologies and be able to apply these to your work What we offer 25 days holiday, rising to 28 days per annum with length of service Medical, dental and optical insurance cover An exciting and flexible working environment surrounded by friendly and committed co workers Electric Vehicle Scheme incentive 'Work from anywhere' 2 weeks per year policy Reward, benefits and wellbeing hub (offering support, discounts, cashback and savings) Training and development opportunities Ad hoc team events, incentives and competitions

Job Description The Software Engineering function in Ultra supports the software development lifecycle consisting of requirements analysis, design, implementation, test and verification in order to deliver software components into projects and products and supports the deployment and maintenance of software components. An individual in this role will provide technical leadership and oversight to the software engineering team of 20-30 software engineers. Define and roll out best practice processes and tools in terms of software development and ensure close collaboration with the hardware, systems and firmware development teams. Direct embedded and application software definition and requirements analysis, architecture, design, implementation, documentation and testing of embedded and application software for the software element(s) of multi discipline development programmes. Key Responsibilities Provide technical direction and exert technical influence across multiple projects, such that the optimal approach, architecture, design, code re use and tool chain are selected. Collaborate with various stakeholders to develop software requirements, architectures and designs that satisfy the system and security requirements, and design parameters and constraints, ensuring a high quality, modular, compliant and timely approach. Work with the software leads on a range of projects ensuring alignment to company processes and standards are maintained. Create development plans with software leads, engineering project leads and project managers to deliver or demonstrate value as early as possible to the customer. Work in a consultative approach across projects to help resolve issues with architecture, coding, or design in a timely manner. Work closely with the system architects and the wider systems engineering team to ensure design consistency, modularity and re use, focusing on technical excellence and process improvement and enabling a high quality library of reusable components. Apply object oriented design techniques to enable code re use and integration with testing frameworks. Specify, architect, design, document, review and maintain the software design using UML and SysML modelling tools such as RSA and Enterprise Architect, ensuring the model can be used for accurate code generation as required. Develop and maintain knowledge of best practice development and project engineering processes, language standards and tools, e.g. TDD/BDD, Continuous Integration, DevOps, DevSecOps, static and run time analysis tools, C#, C++, Rust standards and secure software development. Propose improvements in tools, processes and techniques that support quality and innovation and make the software development more efficient and effective, where appropriate. Actively contribute to the software community of practice, sharing new tools and techniques to advance the knowledge and efficiency of the software team. Mentor and coach less experienced engineers; share knowledge willingly and constructively. Review and sign off significant technical documents; frequently chair technical reviews for significant deliverables. Explain technically complex concepts clearly to less technical or involved parties. Generate and review technical proposals, and provide estimates for the associated effort, costs and risks for bids and proposals, leading to contract awards. May manage a team of up to four engineers. Manage security of information as defined in the Security manual to ensure compliance with Government regulations. Qualifications & Experience SFIA Programming / Software Development: Levels 2-5. SFIA Programming / Software Development: Level 6. Develop organisational policies, standards and guidelines for software construction and refactoring. Plan and lead software construction activities for strategic, large and complex development projects. Adapt or develop new methods, organisational capabilities and drive adoption of, and adherence to, policies and standards. Advanced knowledge and experience of at least one of the following: C/C++, Rust, embedded product development (including RTOSes), Windows and Linux application and driver development. Expert knowledge of software engineering practices, methodologies, processes, techniques and technology trends. Track record of delivering complex software solutions on schedule and meeting or exceeding customer needs. Experience with version control, change control and bug tracking tools and systems, including administrative tasks. Experience defining and rolling out best practice firmware development processes/lifecycles, continuous integration and automated test tools and frameworks. Experience deploying coding standards for defence, space or air worthiness techniques and standards such as MISRA. Experience in DOORS, UML and SysML is advantageous. Sound knowledge of crypto design/implementation and high grade, high assurance development processes. Degree in an engineering, mathematical or science based subject. Security Clearance Candidates must be willing and able to obtain, and maintain, DV security clearance. Due to the nature of the programs we deliver for our customers, candidates may need to obtain the relevant security clearance or handle export controlled material as defined by the role's requirements. Applicants must be able to obtain and maintain the appropriate level of security clearance for the role. Due to the nature of our work, you must be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV. Benefits Participation in an Annual Bonus Scheme Private Medical Cover 25 days' holiday (plus Bank Holidays) with the option to buy an extra 5 days Pension Contribution 4 Life Assurance Cover Flexible working hours with opportunity for a 1pm finish on a Friday Security Clearance Allowance - where relevant and subject to you holding the required security clearance Flexible benefits including cycle to work scheme, will writing and more Diversity, Equity & Inclusion Statement We are an equal opportunity employer and value diversity and inclusivity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We also support requests for flexible working arrangements wherever possible.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with full stack development, across back-end such as Java, Python, Kotlin, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Experience with relational databases and writing SQL queries. Experience with software architecture, API design, and distributed systems. Preferred qualifications: Experience with Machine Learning, Generative AI, large language models (LLMs). Experience working with server platform, Apps Framework, and Spanner. Interest or experience in Trust and Safety, fraud prevention, or identity verification. Familiarity with frontend development using server platform Web or similar TypeScript-based frameworks. Demonstrated ability to perform data analysis to drive engineering and product decisions. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer on the Actor Safety team, you will contribute to the full-lifecycle development of the team's moderation and verification platform. People shop on the company more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for the company Commerce is to be an essential part of the shopping journey for consumers - from inspiration to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world. Responsibilities Design and build robust backend services and evolve our verification platform into a centralized orchestration engine, managing complex state transitions and integrating with various identity and verification providers. Design, build, deploy, and iterate on machine learning models (including LLMs) to detect spam and abuse in Shopping. Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results. Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements. Contribute to the team's engineering excellence by maintaining and improving the reliability of the production system, participate in teams oncall and contribute to code reviews, documentation, and overall system health. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

VulnCheck is seeking a Technical Talent Partner to lead recruiting for R&D roles in a remote setting. This position is pivotal in supporting hiring across engineering and product teams, focusing on fields like cybersecurity and AI/ML development. The ideal candidate will have over 4 years of technical recruiting experience, excelling in high-pressure environments and demonstrating strong engagement with hiring managers. This is a unique opportunity to contribute to a dynamic team while offering competitive benefits, including unlimited PTO and ongoing professional development.

As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business. As our Lead Business Analyst - Data, you'll have access to a wide range of benefits, including: Hybrid working (we're in the office 2 days per week). Colleague discounts on flight Jet2holidays. Competitive salary and benefits package (including our discretionary profit share scheme). At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops. Coordinate the allocation of Business Analysis resources across Pre Delivery and Delivery to ensure analysis momentum. Retain hands on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team. Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively. Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping. Decouple delivery demand from headcount growth by discovering and implementing clever, AI augmented workflows that maximise squad throughput. Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed. Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1 to 1s, conducting performance reviews, and building targeted development plans. Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools. Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high quality standards before development begins. Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team. Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end to end data journey is understood. Champion the translation of complex business concepts into robust functional and non functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value. Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences. What you'll have: Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains. Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high performing teams. Expert level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART). Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast paced Agile environment. Strong experience operating within complex, data centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling (e.g. Entity Relationship Diagrams). Exceptional storytelling and translation skills-capable of refining complex data engineering issues for business executives and business needs for technical squads. The ability to see the "bigger picture," understanding how data flows across different delivery domains, data domains and managing dependencies accordingly. Exceptional communication skills, capable of influencing senior stakeholders and managing expectations at a strategic level. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!