4311 jobs found

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Senior Modelling Software Engineer - Chronos Department: Tech - Model & Platform Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval). We're looking for a Senior Software Engineer to help us build and maintain the Python codebase behind Aurora's Chronos battery storage modelling product. You'll lead or co lead a small team (4 6 people) working in a collaborative engineering environment, owning feature development and improving code quality, maintainability, and developer experience in the model stack used across our business. You'll thrive here if you enjoy writing clean, maintainable Python, shaping libraries and packages that other teams rely on, while raising engineering standards across the organisation and empowering your team to do their best work through coaching and mentoring. The position suits an individual with 5+ years of experience in Python software engineering who is interested in a career applying software engineering techniques to modelling software solutions. Key Responsibilities Lead and manage a small team of modelling software engineers, supporting their development and engagement Manage on time delivery of robust and scalable model features Design, implement, and maintain Python modules/packages in the modelling codebase; own components over time and steward their quality and usability for other teams Translate modelling methods into production quality code, collaborating with method owners in the Modelling team; ensure implementations are readable, tested, and traceable Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations Champion automated testing and TDD; driving the adoption of modern software engineering practices in the model development team Participate in code reviews and technical design discussions Identify and address architectural bottlenecks and opportunities to improve scalability and developer experience Skills, Knowledge and Expertise Required attributes: Professional Python experience (5+ years) in a commercial, team based software environment, delivering components used by other teams/customers Experience in applied software architecture and design patterns Experience building with Test Driven Development and Continuous Delivery Experience in DevOps/Infrastructure development including containers and CI/CD Experience leading small teams, managing and mentoring junior colleagues Experience stewarding internal libraries, packaging and dependency management at scale Experience in effective and efficient agentic first development Desirable attributes: An interest in working in the energy/decarbonization sector Experience engaging with internal stakeholders and colleagues in other teams Experience developing software for modelling, simulation or mathematical optimisation What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

TwinThread in London is seeking a Lead Software Engineer to join their Global Equity Derivatives Technology team. In this role, you will collaborate with developers, quants, and traders to deliver innovative trading solutions and maintain core systems. Your contributions will significantly impact trading and investment strategies. Ideal candidates should possess strong analytical skills, a background in software engineering, and an ability to work effectively in a fast-paced environment. Join us to thrive on teamwork and innovation while shaping the future of financial technology.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts for upfront strategy work through in-depth program management and delivery. You will be on the frontlines of supporting customers turning productivity gains and quantifiable financial impact. You will pioneer the playbook for how the world's largest enterprises get value from AI Agents. In this role, you will: Working with customer leadership to identify, quantify and report value targets for productivity gains and financial impact Ensuring seamless operations and delivery for the overall customer program, in close partnership with the Cognition account team Ensuring everyone at customer and Cog has visibility on playbook implementation, consumption metrics and value metrics Maintaining great relationships and customer trust via delivery Oversee onboarding and rollout to thousands of engineers, ensuring successful deployment Apply world class analytical and technical program management skills to support customer executives and teams, particularly with value realization and tracking Build centers of excellence within accounts and empower them through tailored enablement programs Requirements for the role: Computer science or EE undergrad SWE intern or full time work experience 3-5 years at a big 3 strategy consulting firm with a strong background in value targeting and realization and technology strategy as well as a proven track record building and expanding client relationships Ideally 2+ years experience at a startup in a customer facing role preferred Thrive in ambiguous, fast-changing environments-you move quickly and grow quickly Demonstrated ability to learn exceptionally fast You might excel if you have successfully been a part of complex enterprise teams, especially sourcing and managing account growth have worked as a software engineer, SE, technical account manager or other technical role previously founded a startup or were early stage at a high growth startup are a competitive, highly ambitious person who loves working in high-intensity environments Equal Opportunity Cognition is an equal opportunity employer.

Senior Modelling Software Engineer - Chronos Department: Tech - Model & Platform Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval). We're looking for a Senior Software Engineer to help us build and maintain the Python codebase behind Aurora's Chronos battery storage modelling product. You'll lead or co lead a small team (4 6 people) working in a collaborative engineering environment, owning feature development and improving code quality, maintainability, and developer experience in the model stack used across our business. You'll thrive here if you enjoy writing clean, maintainable Python, shaping libraries and packages that other teams rely on, while raising engineering standards across the organisation and empowering your team to do their best work through coaching and mentoring. The position suits an individual with 5+ years of experience in Python software engineering who is interested in a career applying software engineering techniques to modelling software solutions. Key Responsibilities Lead and manage a small team of modelling software engineers, supporting their development and engagement Manage on time delivery of robust and scalable model features Design, implement, and maintain Python modules/packages in the modelling codebase; own components over time and steward their quality and usability for other teams Translate modelling methods into production quality code, collaborating with method owners in the Modelling team; ensure implementations are readable, tested, and traceable Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations Champion automated testing and TDD; driving the adoption of modern software engineering practices in the model development team Participate in code reviews and technical design discussions Identify and address architectural bottlenecks and opportunities to improve scalability and developer experience Skills, Knowledge and Expertise Required attributes: Professional Python experience (5+ years) in a commercial, team based software environment, delivering components used by other teams/customers Experience in applied software architecture and design patterns Experience building with Test Driven Development and Continuous Delivery Experience in DevOps/Infrastructure development including containers and CI/CD Experience leading small teams, managing and mentoring junior colleagues Experience stewarding internal libraries, packaging and dependency management at scale Experience in effective and efficient agentic first development Desirable attributes: An interest in working in the energy/decarbonization sector Experience engaging with internal stakeholders and colleagues in other teams Experience developing software for modelling, simulation or mathematical optimisation What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

Job Overview: We are looking for an SDL Architect to define and drive the Security Development Lifecycle for Arm-based SoCs. This is a strategy, governance, and leadership role. You will define how security is coordinated across the SoC lifecycle, from architecture through RTL, physical build, software, and production, and lead its adoption across teams. A key part of the role is to develop practical, scalable, and effective SDL processes that can be implemented across multiple programs and teams. The focus is on making security processes usable and repeatable in real development environments. You will act as a senior technical leader, setting direction, driving alignment, and ensuring consistent application of security practices throughout the organization. Responsibilities: Establish and uphold the SDL framework for Arm SoC development throughout the entire lifecycle Establish security processes, checkpoints, and sign-off criteria, ensuring alignment with industry standards Develop practical and scalable SDL processes that function across multiple programs and teams Lead adoption across architecture, build, verification, physical build, firmware, software, and product teams Define roles and accountability for security across teams and provide clear technical leadership Act as the central authority for SDL regarding SoCs, guiding teams and driving consistent decision-making Provide frameworks and mentorship for threat modeling, risk assessment, and security reviews Ensure SDL coverage throughout the entire stack including hardware, software, and production Develop and mature security verification methodology for SoCs Define metrics to track SDL adoption and efficiency Continuously improve SDL based on feedback and evolving risks Advocate for robust security measures throughout engineering teams Necessary Skills and Experience: Prior experience as a SoC Security Architect or similar role Strong understanding of the full SoC lifecycle including architecture, RTL, physical build, software, and production Experience defining or influencing security processes, frameworks, or methodologies at an organizational level Proven ability to lead and influence across multiple teams without direct authority Demonstrated history of promoting consensus and influencing choices among architecture, building, verification, physical implementation, firmware, software, and product teams Experience with threat modeling and risk assessment Familiarity with hardware and system security concepts such as secure boot, root of trust, and key management Understanding of secure provisioning, manufacturing, and lifecycle management Exposure to hardware security verification or validation approaches Preferred Skills and Experience: Experience building and scaling SDL in a semiconductor or SoC environment Familiarity with Arm architecture and security features Experience with security certifications or standards such as PSA or Common Criteria Deeper knowledge of cryptography or hardware security primitives In Return: Joining Arm means working on world class technology with a team of dedicated individuals. You will have the opportunity to successfully implement innovative solutions and drive flawless execution across programs. Be part of our ambitious journey to compete at the highest level in the industry! Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require it. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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

Cloud Engineering Manager Role purpose: Flutter Technology is recruiting a Cloud Engineering Manager responsible for leading a team of engineers that will drive the implementation, automation, and operation of our greenfield AWS cloud platform. The platform will underpin the global services consumed by the group's well known betting brands. This role offers a fantastic opportunity to influence the technology choices across Flutter's cloud hosting platforms. You will work with all brands across the group to migrate and modernise their services, deliver technology solutions to meet their needs, and promote knowledge sharing within the engineering community. You will also contribute to the evaluation and selection of AWS services, code and configuration management tools, and other components essential for achieving our group's strategic objectives. You must be effective at articulating technology requirements, promoting cloud enablement, migrations and the methodologies required to reduce risk and achieve desired outcomes. Responsibilities Team Leadership & People Management Lead and scale engineering teams of 5+ members, demonstrating ability to hire, develop, and retain high performing talent. Manage performance reviews, capability assessments, and conduct difficult conversations (performance improvement plans, terminations). Build psychological safety and foster collaborative team cultures in technically demanding environments. Communicate complex technical concepts and infrastructure decisions to non technical audiences. Network Implementation & Engineering: Support the implementation of scalable, secure, and high performing cloud network solutions across multiple AWS regions based on approved architectural designs. Network Implementation & Engineering Build and operate Flutter's global hybrid network infrastructure, utilizing primarily AWS native services alongside on premises solutions, implementing advanced routing architectures, IP address management, centralized ingress/egress control, and enterprise wide network security services. Spearhead network deployment and operations using Infrastructure as Code (IaC) methodologies with tools such as CDK, Typescript, Terraform or CloudFormation. Ensure compliance with security frameworks, regulatory requirements, and industry standards across all network implementations. Contribute to network technology roadmaps and strategy based on hands on implementation experience and operational insights. Set technical implementation standards, enforce networking best practices, and provide mentorship to engineering teams. Support cloud architecture and Flutter Function leads with developing the cloud technology roadmap and strategy. Operational Excellence Create and drive adoption of standard operating procedures, policies, runbooks, and operational manuals. Assume guardianship of network infrastructure code and artefact repositories, ensuring adherence to best practices. Proactively identify and mitigate network risks, ensure robust disaster recovery strategies, and lead major incident response efforts. Write and review platform code, offering constructive feedback to ensure code quality. Drive continuous improvement in network monitoring, observability, and performance optimisation. Build and maintain on call rotations; manage escalation paths and ensure appropriate coverage for 24/7 operations. Establish and enforce service level agreements (SLAs) and key performance indicators (KPIs) for infrastructure services. Collaboration & Knowledge Sharing Facilitate the development and communication of Flutter Group standards for network design, development, and deployment. Enable and support engineering teams with the adoption of cloud networking services through training initiatives and workshops. Cultivate relationships with other pivotal Flutter group functions and identify opportunities for strategic collaboration. Liaise with third party vendors, AWS, and partners on networking solutions and integrations. Write and maintain comprehensive technical documentation, runbooks, and operational guides. Competencies Building Support: We establish close relationships with our stakeholders, underpinned by trust, integrity, and respect, and can build awareness, understanding, and positive momentum behind the group technology strategy, often without being able to assert authority. Objective: We are impartial and unbiased, ensuring equal treatment for all and that decisions are based on objective criteria. Collaborative: We work effectively and in partnership with our stakeholders on shared goals that align towards the achievement of the group strategy, fostering a collaborative environment and assuming the role of leader when required. Adaptable: We understand and appreciate different and opposing perspectives on an issue and can adapt our approach to achieve a successful outcome. Strategic Thinking: We think about the big picture and use that perspective to support our divisions to achieve competitive advantage through greater agility, faster time to market and a better customer experience. Strategic Communication: We are proactive and considered in our approach to stakeholder communications, actively listening, providing constructive feedback and helping others to consider new perspectives. Experience Proven experience leading and managing engineering teams, including hiring, performance management, and career development of engineers at varying levels of seniority. Experience building and operating network infrastructure across multiple AWS accounts and regions, supporting high availability, multi region workloads. Deep understanding of AWS networking services including but not limited to: Cloud WAN, Transit Gateway, VPC design, AWS Network Firewall, Direct Connect, VPN, Route53, Outpost, VPC Endpoints, load balancing services (ALB, NLB, GWLB), and VPC Lattice. Proven experience with network security implementation, including firewall policy development (AWS Network Firewall, Palo Alto), IDS/IPS management (Suricata), network segmentation, and compliance frameworks. Experience with source control management (Git, GitHub) and CI/CD pipeline integration for network automation. Demonstrated experience mentoring and coaching engineers at varying levels of seniority, with a track record of supporting career progression and capability uplift within teams. Leads engineering teams using agile delivery methodologies; applies agile principles pragmatically to infrastructure work including sprint planning, backlog management, and continuous improvement. Leads incident response, change management, and problem resolution processes, accountable for post incident reviews, risk identification, and implementation of corrective actions. Bonus Bonus points for previous software engineering experience (Python, TypeScript, Go), Wi Fi infrastructure (Cisco, Aruba), container networking (EKS, ECS), AWS certifications, or experience in highly regulated industries.

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.

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.