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Summary Join M&S Software Engineering and help shape the digital future of one of the UK's most trusted brands. You'll work on products and platforms that support millions of customers and thousands of colleagues, as part of an organisation investing heavily in becoming digital-first and engineering-led. We're looking for a Software Engineering Manager who combines strong technical judgement with a passion for building high-performing teams. This role sits within Fashion Home and Beauty, in our Commercial Planning sub domain. The successful candidate will initially work within a large programme, providing Engineering oversight, and partnering with the Vendor and implementation team to deliver optimal technical solutions. This is an opportunity to help shape a best-in-class engineering culture, environment, and team. If you're excited by modern technology, large-scale impact, and the chance to influence how engineering is done at M&S, this is a place where you can do some of the best work of your career. You will be responsible Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Fostering a culture of innovation and continuous improvement, and establishing strong engineering standards Ensuring cross-functional requirements such as security, performance, and reliability are built into delivery Holding our Vendors and partners to account for all aspects of good software delivery Challenging solution architecture, and helping drive the right approach for any given business requirement What you'll do As a Software Engineering Manager, you'll combine people leadership, technical direction, and delivery excellence to help teams solve problems through technology at scale. Team leadership: Build, mentor, and manage a high-performing software engineering team. Foster a culture of collaboration, innovation, and continuous improvement within the team. Facilitate communication and collaboration among team members. Ensure budgets, people and resource allocation, and workload, balance across projects. Delivery excellence: Oversee the planning, execution, and delivery of software initiatives, ensuring alignment with business goals, timelines, and customer outcomes. Manage risks and dependencies proactively, and work closely with Product, Design, and Delivery partners to define scope and priorities. Technical leadership: Drive the adoption of strong engineering practices, standards, and methodologies. Provide guidance on complex technical challenges, shape the team's technical roadmap with senior engineers, and help balance technical investment with product and commercial priorities. Quality and reliability: Establish high quality standards so software meets performance, reliability, and usability expectations. Support the ongoing maintenance and improvement of existing systems, ensuring issues are resolved quickly and effectively. Tech stack The teams use a variety of technologies, including: Java, Spring, SpringBOOT, Micronaut React, Next.js, Typescript, Angular Azure Cloud, Kubernetes, Dynatrace (observability) SQL Server, MongoDB Ignite, Redis Who you are Previous polyglot hands-on senior software engineer Experience working on highly scalable software solutions across web or backend Extensive background in software engineering with several years' experience in a variety of systems and technologies Experience building and leading teams of highly skilled, senior software engineers that deliver high-quality software. Excellent understanding of system design, software architecture, cloud, and software engineering standard methodologies, Promoter of DevOps: you build it, you run it. Strong understanding of testing strategies and reliability engineering Excellent people management, interpersonal, analytical, and problem-solving skills Ability to lead and line manage senior engineers and technical partners to a desired outcome, without prescribing it. Excellent communication skills, both written and spoken and able to adjust for different, including non-technical audiences. A servant-leadership mentality that is willing to take ownership of problems. Able to influence people at senior levels and from the highly technical to non-technical Desirable experience Knowledge of the Retail domain, particularly around the Clothing Product development and planning lifecycle. Not essential, but would be a big advantage. What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in-person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers thoughtfully. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.

Location Edinburgh; Bath; London Employment Type Full time Location Type Hybrid Department Engineering Compensation £75K - £90K Flexible hybrid - one day per week in Bath, London or Edinburgh About us the company is the Octopus-owned embedded investment platform that's on a mission to helping more people to invest - and invest well. We're B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We're also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. The role We're looking for a Senior automation engineer to join our Automation & AI Enablement team. Reporting to an Engineering manager, you'll work closely with colleagues across engineering, product, operations and our customer-facing teams to identify complex operational problems and create simpler, faster and more scalable ways of working. The team helps the company make better use of automation and AI as we continue to grow. You'll get under the skin of ambiguous processes, design improved workflows and build practical solutions using the right tool for the problem - whether that's TypeScript, Python, an agentic system or a low-code platform such as Zapier or Microsoft Power Platform. You'll take ownership from initial discovery through to delivery and operation, balancing speed, quality and long-term maintainability. On a typical day you will be Working with engineering, product, operations and customer-facing teams to uncover inefficient, manual or unclear processes Turning ambiguous business problems into well-designed, scalable automated workflows Choosing the right tool for each problem, from TypeScript or Python to LLMs, agentic systems and low-code platforms Designing, building, testing and operating reliable automation and AI-enabled services Applying appropriate quality gates, guardrails and human oversight to AI-driven workflows Owning your solutions throughout their lifecycle, including documentation, observability, support and continuous improvement Evaluating emerging LLM models, agentic tools and automation approaches based on their practical benefits and trade-offs Sharing your knowledge and helping other engineers and teams adopt effective automation practices This role's for you if You have strong commercial experience with TypeScript or Python and are willing to learn whichever language is less familiar to you - TypeScript experience is slightly preferred You have experience writing or using agentic harnesses for software development and understand how to assess different orchestration approaches You understand the current frontier LLM landscape, its applications in software engineering and challenges such as hallucination, prompt injection, privacy, cost and latency You're comfortable choosing the right tool for the job, including low-code platforms such as Zapier or Microsoft Power Platform when custom code isn't the best answer You have an enablement mindset and naturally seek out ambiguity, inefficient processes and opportunities to design better ways of working You're a hands-on builder who wants to understand a problem deeply, build the solution and remain accountable for running and improving it You understand how to make automation and AI-enabled systems reliable through testing, observability, validation, guardrails and human-in-the-loop review You have experience working with cloud-based systems - AWS, serverless technologies, regulated industries or financial services experience is desirable This role isn't for you if You rely on a lot of top-down direction. Here, you'll have a lot of freedom and ownership of your role, and you'll be expected to shape your own progression You're not comfortable working in a fast-paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen You don't like change. You'll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty What's in it for you We offer a generous mix of benefits for the things that really matter to our people, including: A salary between £75,000 and £90,000 - dependant on experience + reviewed annually 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave Two volunteering days per year Option to work abroad for up to six weeks a year Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget Length of service award - one month paid sabbatical at eight years 6% employer pension contribution, and life assurance Private medical insurance with AXA Health Enhanced Parental leave MacBook and up to £500 home office set up budget £750 per person learning budget Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace Strong financial wellbeing focus including access to Octopus Money, Octopus Share Incentive Plan and will writing offering via Octopus Legacy Perkbox - Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing Our culture We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation. Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this, (following an initial chat with one of our Talent team): First stage - 45 mins competencies-based interview with the hiring manager Second stage - two-hour technical interview or assessment We'll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don't miss out and you should expect to hear back from us within one to two weeks of applying. Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If this sounds like your kind of thing, we encourage you to apply even if you don't tick every box. We'd love to hear from you! Compensation Range: £75K - £90K

About this role: the company is seeking a Senior Software Engineer to join a high-impact technology team supporting critical initiatives within our Capital Markets and regulatory landscape. This is an opportunity to work on complex, business-critical systems where you'll design and deliver scalable solutions that directly support trading, risk, and compliance functions. You'll be part of a collaborative environment that values innovation, engineering excellence, and continuous learning. In this role, you'll take ownership of key technical deliverables while contributing to broader strategic initiatives across the platform. You'll work closely with business and technology stakeholders to solve challenging problems, influence design decisions, and help drive modern engineering practices including event-driven architectures, data governance, and cloud-native solutions. This is an ideal role for someone looking to deepen their technical expertise while making a tangible impact in a highly regulated, fast-paced financial environment. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Implement strong data governance, lineage, and reconciliation controls to ensure accuracy and completeness of reported data Required Qualifications: Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications: Strong understanding of capital markets products such as derivatives, securities financing transactions, equities, and fixed income. Experience in regulatory reporting, risk, compliance, or audit-driven environments Knowledge of non-financial regulatory domains Familiarity with data governance tools and metadata management platforms Experience with event-driven architectures or streaming platforms (e.g., Kafka, Flink) Exposure to containerisation and orchestration (Docker, Kubernetes) Strong understanding of controls, auditability, and regulatory expectations in large financial institutions Ability to influence and collaborate across business and technology teams Familiarity with responsible AI principles and understanding of how AI can augment software engineering Posting End Date: 30 Jun 2026 We Value Equal Opportunity the company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Procurement Manager Department: Procurement Employment Type: Permanent - Full Time Location: Remote, UK Description As Procurement Manager, you will support the delivery of ParentPay Group's procurement programmes and strategic initiatives, focused on IT software and hardware requirements. Working closely with Procurement Team members, the IT department and all internal departments, you will be responsible for managing the acquisition and renewal of hardware, software and cloud resources; maintaining accurate asset and entitlement records; and providing reliable reporting and compliance evidence. You will also need to operate within defined ITAM policies and standards, utilising Supplier and Contract Management and Software Asset Management (SAM) platforms, that combined ensure governance, compliance and effective management of our IT assets and commercial position, whilst minimising associated risks. We are looking for a strong all-rounder, with both Procurement and IT Asset Management experience, who understands technical and licensing requirements, can collaborate with internal stakeholders and who can effectively negotiate renewals and agreements. As Procurement Manager, you will manage the procurement of goods and services from the third-party supply chain, ensuring that each contract or order provides best value, compliance and on-time delivery. This is an exciting opportunity, focused on developing category specific strategies based on spend analysis, market assessment, stakeholder engagement, commercial negotiation and risk and compliance management across the ParentPay Group. You will manage and cover the full spend portfolio across all areas of the business and will ensure compliance with and support further harmonisation of processes, tools, techniques, reporting, KPI's, and methodologies. You will also be required to deputise for the Head of Procurement during times of absence and work closely with the Finance Function as we look to build greater understanding and control of our Group spend. Key Responsibilities Supplier Relationship Management - including Category Management and Sourcing Develop category strategies using spend analysis to optimise supplier performance, reduce costs and improve margins. Lead end-to-end supplier management, including sourcing, negotiations, contracts and performance management to deliver best value. Build strong supplier partnerships while managing supply chain risk in collaboration with Group Information Security. Contract Management and the Related Upstream Procurement Systems Manage and maintain the contract repository to improve contract visibility, implementation and compliance. Standardise contract management processes across the business to ensure consistency and governance. Partner with Group Legal to maintain compliant contract templates, approval workflows and regulatory requirements. Ensure Compliance, Risk Management and Drive Continuous Improvement Manage supplier onboarding and master data to strengthen compliance, governance and supplier risk management. Ensure procurement activities comply with legal, ethical and company standards while mitigating supply chain risks. Drive continuous improvement through standardised procurement processes, systems and best practices. Budget, Cost Optimisation and Enhancements to KPIs and Reporting Maintain procurement dashboards, KPIs and reporting to provide accurate performance insights. Monitor organisational spend and contract values, ensuring data integrity and clear reporting. Identify, track and report cost-saving opportunities and procurement risks in partnership with Finance and key stakeholders. Skills, Knowledge and Expertise Demonstratable experience in a Technology / SaaS organisation Must have strong IT and General Category experience Good interpersonal and communication skills to multiple levels of the organization Proven relevant experience in a procurement function undertaking activities associated with sourcing and/or purchasing good and services Good commercial knowledge and knowledge of related processes, tools, competences Proven experience of the source-to-pay process lifecycle Proven customer service experience with good interpersonal, analytical, negotiation and conflict resolution skills Excellent relationship management underpinned by being professional and confident in manner Ability to communicate effectively with internal/external stakeholders, suppliers, customers, peers, senior management and the wider business at all levels of seniority

The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.The Group operates from more than 48 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist.Role Overview:The Procurement function is responsible for the provision of leading edge procurement services aligned to business strategy and requirements, aiming to enhance value and productivity across the supplier value-chain through effective, efficient and agile processes delivered by a strategic, commercial and risk focussed function.The function plays a crucial role in ensuring that the organisation achieves value (i.e. performance, financial, enhanced risk, etc.) from its global supplier landscape. As such Procurement is accountable for the implementation and management of strategic procurement driving value through effective supplier relationship management, demand & consumption management, MI & BI analytics, third party risk management and the like.Please note, this role is a 12-month Fixed Term Contract. The successful candidate will provide specialist Technology Procurement expertise to support strategic sourcing initiatives, commercial optimisation activities, supplier governance and procurement transformation programmes across the Group during this period.Role Responsibilities:Support the Head of Procurement - Technology with development and implementation of 3 year rolling Technology Category Sourcing Strategy, including supplier segmentation, supplier consolidation strategy, PSL category definition and strategic procurement levers implementationDefine and agree category plans that deliver ongoing commercial value in terms of cost, performance and risk in accordance with the overall procurement strategy aligned to the business objectives and strategiesBuild strong relationships with technology and business stakeholders, business management and finance as well ask third party suppliersProvide market insights to the broader procurement team including key stakeholders, senior management and the procurement sourcing officeDeliver sourcing process including pipeline management, competitive tenders and benchmarking to identify best supplier option is identified and commercial, contractual, performance and service delivery stipulations are embedded and aligned to business requirements.Ensure and complete all relevant Third Party Risk Management activities on a timely basis through liaison with the Procurement Efficiency OfficeEnsure that all technology software contracts have been abstracted and added to the contract repository and contract meta data is kept up-to-date throughout the contract lifecycle.Actively participate in the Procurement strategic initiatives including transformation, continuous improvement and innovation programmesManage and lead complex and high value contract negotiations with suppliersParticipate and manage appropriate Governance forums and develop supporting metrics & reporting in conjunction with the Procurement Efficiency Office.Collaborate and support the commercial contract management team with the management of the category Panels and Preferred Supplier Lists, performance and commercial issues during the post-deal contract period.Provide support to the Procurement Efficiency Office with supplier onboarding queries and process issues, as well as offboarding of suppliers upon contract termination.Experience / CompetencesEssentialProven experience operating within a strategic procurement, category management or sourcing function.Demonstrable experience managing Technology spend categories, including one or more of the following: Software, SaaS, Infrastructure, Cloud Services, Telecommunications, Managed Services or IT Professional Services.Experience leading end-to-end sourcing activities, including supplier selection, competitive tendering, negotiations and contract award.Proven commercial negotiation and contract management skills, with the ability to deliver measurable value through cost optimisation, risk reduction and service improvements.Experience developing and executing category plans or procurement strategies aligned to business objectives.Demonstrated stakeholder management and relationship-building skills, with the ability to influence stakeholders across Technology, Finance and Business functions.Experience managing supplier relationships and evaluating supplier performance, capability and commercial value.Solid analytical skills with the ability to interpret spend data, market intelligence and supplier insights to support decision making.Excellent verbal and written communication skills, including the ability to present recommendations and commercial outcomes to senior stakeholders.Proven ability to manage multiple priorities and deliver outcomes within a fast-paced and evolving environment.DesiredExperience managing Software Licensing, SaaS, Cloud Infrastructure or IT Outsourcing categories in a complex enterprise environment.Experience within Financial Services, Capital Markets, Professional Services or another regulated industry.Knowledge of cloud commercial models, FinOps principles and cloud cost optimisation initiatives.Experience with Third-Party Risk Management, supplier governance and regulatory requirements relating to external suppliers.Familiarity with technology-related contracts, including software licensing, SaaS agreements, managed services and professional services contracts.Experience supporting procurement transformation, process improvement or operating model enhancement initiatives.Professional procurement qualification (MCIPS or equivalent).Experience working within a global procurement function supporting international stakeholders and suppliers.Experience using procurement, contract lifecycle management and supplier management platforms.Band / LevelManager / 7 The Perfect Fit?Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.Company StatementWe know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.LocationUK - 135 Bishopsgate - London

Senior PAM & AI Engineer (Privileged Access Management) Salary: Competitive Plus Benefits Location: London Store Support Centre, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 31 July 2026 We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you'll realise that ours is a modern software engineering environment because it has to be. We've made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech. Senior Identity and Access Management Engineer (PAM) Proven experience applying Identity & Access Management (IAM) principles including Authentication, Authorisation, Access control models (RBAC / ABAC / PBAC), identity lifecycle management (Joiners / Movers / Leavers) and Zero Trust. Hands-on experience designing or leading AI driven initiatives within IAM or Cybersecurity. Strong ability to analyse identity telemetry (audit logs, sign in- logs, access data) and translate insights into actionable improvements Extensive hands-on- experience with Microsoft Entra ID (Azure AD), including: Users, Groups (static & dynamic), roles, service principals, app registrations Directories, Tenants, Objects, and Attribute Structures Conditional Access policies, SSO (SAML & OIDC), Access Packages, MFA and Passwordless authentication (e.g. Windows Hello for Business, FIDO2) Identity governance activities including Access reviews, Entitlement Management and access control models. MS and 3rd party Agentic AI agents governance and lifecycle management. Solid engineering experience in Privileged Access Management (PAM) such as CyberArk, StrongDM: User and group management, OU design, Group Policy Objects (GPOs) Hybrid identity integration (Azure AD Connect / Cloud Sync) Different types of service accounts for on-premises and cloud use cases (SVC, gMSA, MI, SPN, RPA) Working knowledge of how privileges and account types are secured within different operating systems, databases, servers, cloud resources. Experience working with Identity Governance tooling such as Saviynt / SailPoint or any other similar product. Experience with securing access within cloud platforms and technologies (Azure, AWS, GCP). Ability to define AI use cases and requirements aligned to Agent identity governance, Agent lifecycle management, designing controls for effective risk reduction Strong understanding of identity threat landscape and how AI can be applied to detect and mitigate risks Experience in gathering high level technical requirements, discuss with stakeholders to break it down to detailed requirements along with timeline and communicate to the engineers Experience mentoring or coaching engineers, provide technical advice to the team and contributing to team standards and best practices Work with Engineering and Product Manager to deliver technical milestones in line with product and business strategy. Work collaboratively with IT, product teams, Security Operations Centre, Security Analysts, Security Architects and end users to support IAM & PAM solutions and to ensure secure delivery, safeguarding both colleague and customer data. Exhibit excellent communication and presentation skills, able to convey complex issues and findings clearly and effectively. Demonstrates a strong technical mindset with the ability to analyse complex IAM, PAM and AI challenges, make sound architectural and engineering decisions, and proactively remove technical or organisational blockers to enable effective and timely delivery. Maintains a commitment to continuous learning while building strong, trusted relationships with technical teams, security partners, and business stakeholders to drive collaboration, capability uplift, and shared ownership of outcomes. Additional Criteria Experience using AI and machine learning concepts to analyse identity related data (e.g. -sign in- logs, access patterns, usage trends) Knowledge of AI assisted-automation use cases within IAM: Access or sign in anomaly detection Risk based- access decisions Intelligent access reviews or entitlement recommendations Experience with Microsoft security and analytics tools (e.g. Entra ID logs, Azure Monitor, Log Analytics, Sentinel). Understanding of ethical AI and responsible use of AI, especially in security sensitive and -personal data- contexts. Familiarity with data governance, data quality, and information security principles, particularly where AI models consume identity data. Strong focus on security, governance, and continuous improvement Relevant professional certifications (or actively working towards), such as: Microsoft Identity or Security certifications Privileged Access Management certifications AI / data analytics certifications CISSP, CISM, or equivalent We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

Sr. Software Engineer, Cloud (Hybrid, London)Applylocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: R29015As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you.We are seeking a Senior Software Engineer, Cloud to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform - enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale.You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows - helping them respond faster to emerging threats. While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you. What You'll do: Own the engineering bar . Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last - not just for today's scale, but for what's next Lead system design and architecture decisions, including design reviews and RFC processes Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability Operate with a high degree of autonomy - you'll be trusted to make decisions and drive outcomes What You'll Need: A collaborative team player who lifts those around them (We believe in: One team. One fight !) 8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C# Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus points: Currently developing Go-based microservices for scalable, high-throughput architectures Experience in cybersecurity, SIEM, SOAR, or adjacent security domains Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work CertifiedTM across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. 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Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.

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

The Arctic is a place of extremes: unforgiving, untamed, and undergoing rapid change. A literal defrosting reveals a multi-trillion-dollar opportunity spanning energy, defence, logistics, research, and infrastructure. ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox-an explosion of activity in a place that resists human presence-is why we exist. Our solution is autonomy. We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to. Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won't reappear, we'd like to talk. The role We're hiring our first Product Security Engineer. Security Engineering at ARD blends sharp technical skill, an attacker's mindset, and tangible real-world stakes. You'll operate across our entire hardware and software product suite - cloud infrastructure, applications, identity systems, and the autonomous products we field - spotting and cutting down the risks that actually matter. The systems we run and the data we hold call for a security approach that's thorough, flexible, and woven into everything we do. Your work will directly underpin the trust partners, customers, and the public place in us, while keeping our teams free to build and ship with confidence. Given how high the stakes are at ARD, this is core to delivering our mission the right way. CORE RESPONSIBILITIES Spot, evaluate, and rank security risks across our systems, products, and infrastructure - separating hypothetical worries from genuine threats to the business Build and roll out practical security controls across cloud platforms, applications, products, and data, and help engineering teams do likewise Build and use threat models to catch architectural weak points, trust boundary gaps, and failure modes before they turn into incidents Work alongside engineering, product, and operations teams as a trusted security partner - offering patterns, guidance, and guardrails rather than acting as a gatekeeper Play a part in detecting, investigating, and containing security incidents, and push for lasting fixes based on what we learn Cut down on manual, reactive security work through automation, better tooling, and secure-by-default habits built into how we develop and run systems Apply technical rigour to assurance work like audits, certifications, and customer security reviews - making sure our controls hold up in practice, not just on paper WHAT WE VALUE Deep, hands-on skill in one or two security domains - application security, cloud security, identity and access management, cryptography, detection and response, or platform security - backed by real evidence of impact An instinct for trust boundaries, failure modes, blast radius, and attacker behaviour, rather than viewing vulnerabilities in isolation A knack for turning complex security risk into terms that land with engineers, product managers, and senior leadership alike, and for shaping outcomes through persuasion rather than title A risk-based approach - weighing decisions proportionately under uncertainty, and always asking whether the work cuts real risk rather than just checking a compliance box Comfort juggling multiple teams and technical domains at once without losing quality or judgement A history of finding gaps and pushing security fixes through to completion, even in messy or loosely defined problem spaces BONUS POINTS Time spent in or around regulated, high-assurance, or defence-adjacent settings where security demands are intricate and failure carries real weight Practical offensive security background - red teaming, penetration testing, or adversarial simulation - that shapes how you think about defensive design and threat modelling Awareness of security issues unique to AI or machine learning systems, such as model integrity, data pipeline security, or adversarial ML A hand in building security programmes at scale - security champions networks, secure development lifecycle tooling, or company-wide risk frameworks A background in cloud-native security engineering, especially across AWS, GCP, or Azure, spanning infrastructure-as-code, container security, and cloud identity patterns Some exposure to supply chain security issues, such as dependency management, build pipeline integrity, or third-party component assurance Experience working with classified data, government security frameworks, or cross-domain security requirements WHAT WE OFFER Competitive compensation Equity - meaningful options as an early employee at an early-stage company Real field exposure - travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick) Mission-driven culture - focus on impact, not hours logged Small team, real ownership - what you build matters and ships A note on who we want to hear from We're building for one of the most demanding environments on Earth and we believe diverse teams build more resilient systems. We actively welcome applications from people who are underrepresented - whether that's by gender, ethnicity, disability, or background.

Swansea, United Kingdom Posted on 06/07/2026 About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user-centred design, agile delivery, and scalable digital services that genuinely make a difference. Strong focus on work-life balance with a flexible hybrid model (3 days onsite) Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts Based in Swansea, South Wales - three days per week on-site Job Summary We are seeking an experienced and collaborative Senior Ruby Developer to join a large-scale UK government agency. You will be a core member of a blended agile delivery squad comprising civil servants and supplier staff, working to build and enhance high-volume, citizen-facing digital services. These critical services process tens of millions of customer transactions and billions of digital interactions annually. In this role, you will focus on developing secure, accessible, and user-centred interfaces and services using a front-end stack of Ruby on Rails and React. You will also integrate these interfaces with a modern API-first back-end ecosystem built on Java SpringBoot and AWS serverless technologies. Operating at SFIA Level 4, you will take ownership of complex technical tasks, champion modern engineering practices, and actively mentor peers to uplift the capability of the wider team. Key Responsibilities Software Development: Design, build, and support full-stack digital services using Ruby on Rails and React.js front-ends, ensuring high performance, scalability, and clean code. Service Integration: Integrate front-end interfaces with Java Spring Boot microservices and AWS serverless components (API Gateway, Lambda, Node.js) while decomposing legacy interfaces to maintain service continuity and data integrity. Engineering Standards: Ensure all software rigorously meets the Government Digital and Data (GDD) Service Standard, the Technology Code of Practice, and departmental secure-by-design engineering principles. Agile Delivery: Work collaboratively within blended, multidisciplinary agile squads, partnering with Product Owners, Agile Delivery Managers, Business Analysts, and SDETs to define acceptance criteria and deliver sprint outcomes at pace. Quality & CI/CD: Strengthen continuous integration and continuous deployment (CI/CD) pipelines and automated testing practices (TDD/BDD) to improve deployment frequency, code quality, and reliability. Service Reliability: Embed service reliability through observability, proactive monitoring, alerting, and incident management to reduce mean time to recovery. Production Readiness: Enable live operations and production readiness through comprehensive documentation, evidence gathering, and supporting GDS service assessments across alpha, private beta, and live phases. Knowledge Sharing: Facilitate knowledge transfer, review code, and coach colleagues to uplift internal capability and support sustainable, long-term service ownership. Core Programming: Deep, commercial expertise in developing scalable web applications using Ruby on Rails and React.js. Public Sector Delivery: Proven experience delivering secure-by-design, user-centred digital services aligned to the GDS Service Standard within complex, high-volume government environments. Modern Architecture: Strong practical knowledge of cloud-native development (primarily AWS), API-first design principles, and RESTful microservices architecture. DevOps & Automation: Hands-on experience integrating code into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and utilizing containerisation and infrastructure-as-code tooling. Security & Accessibility: Comprehensive understanding of secure coding practices (e.g., OWASP), data encryption, and WCAG 2.2 accessibility compliance. Agile Mindset: A strong track record of operating effectively in blended, multi-supplier agile environments (Scrum/Kanban), adapting to legislative or policy-driven change. Broader Tech Stack: Experience or familiarity with the wider strategic tech stack, specifically Java Spring Boot and AWS serverless patterns (Lambda, DynamoDB, API Gateway). Legacy Transformation: Experience supporting large-scale digital transformation programmes involving legacy modernisation and migrating services away from older platforms (e.g., AIX, Oracle, Natural/Adabas). Cross-Government Platforms: Prior experience integrating digital products with cross-government capabilities, such as GOV.UK One Login, GOV.UK Pay, GOV.UK Notify, or digital wallets. Data Environments: Experience working with high-throughput bulk data processing pipelines, ETL processes, and datastores like PostgreSQL or MySQL. We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

The Role We are seeking a Senior Developer to work on the design and delivery of real time and time series data platforms within our investment management technology team. This role combines hands on engineering with domain expertise, setting direction for systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams. In this role you will You will act as the lead developer for real time and historical data platforms, including integration with vendor platforms like OneTick and real time data providers like Bloomberg, Refinitiv etc., and will be responsible for design, implementation, engineering standards, and production stability. You will work closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands on during the implementation phase. Key responsibilities to also include: Understand the evolving business requirements and use the domain knowledge to lead the design and implementation of real-time and time-series data services Work closely with architects and developers to make pragmatic architectural decisions balancing business urgency, scalability and long term maintainability Remain deeply hands on in design and implementation of critical components Set engineering standards around performance, resilience, data quality, and observability. Review code and designs, focusing on correctness, performance, and operational readiness Design schemas, partitioning, and data lifecycle strategies for large scale intraday and historical datasets Lead integrations with vendor platforms and ensure consistent, reliable data across internal consumers Optimize query performance and data access patterns for PM, Trader, and Quant use cases Own production stability for business critical data systems, particularly during trading hours Define and enforce best practices for monitoring, alerting, incident response, and root cause analysis Proactively identify performance bottlenecks, scalability risks, and operational weaknesses Mentor engineers, providing technical guidance and raising overall team capability What it takes Proven significant professional software engineering experience combined with significant domain expertise gained from building real time data platforms in investment management domain Strong experience in integration with real time vendor platforms like OneTick, and strong experience in time series databases and analytical platforms Strong hands on experience in Java, Python and other programming languages, and building scalable services on AWS Proven experience acting as a Lead Engineer on mission critical systems involving real time streaming and messaging technologies on Cloud infrastructure (AWS) Deep understanding of financial time series characteristics (high volume, bursty data, corrections, late data) and proven ability to design scalable schemas and query models for both intraday and historical analytics Strong understanding of market data, orders, executions, positions, portfolios, and pricing Experience balancing latency, storage efficiency, and analytical flexibility Familiarity with vendor data ecosystems (e.g. Bloomberg, Refinitiv, MarketAxess) Experience delivering platforms used directly by PMs, Traders, and Quant teams Strong ability to influence technical direction and mentor senior and junior engineers Special Factors Vanguard is not offering visa sponsorship for this position This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday)

The Role We are seeking a Lead Developer to work on the design and delivery of real time and time series data platforms within our investment management technology team. This role combines hands on engineering with domain expertise, setting direction for systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams. In this role you will You will act as the lead developer for real time and historical data platforms, including integration with vendor platforms like OneTick and real time data providers like Bloomberg, Refinitiv etc., and will be responsible for design, implementation, engineering standards, and production stability. You will work closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands on during the implementation phase. Key responsibilities to also include: Understand the evolving business requirements and use the domain knowledge to lead the design and implementation of real-time and time-series data services Work closely with architects and developers to make pragmatic architectural decisions balancing business urgency, scalability and long term maintainability Remain deeply hands on in design and implementation of critical components Set engineering standards around performance, resilience, data quality, and observability. Review code and designs, focusing on correctness, performance, and operational readiness Design schemas, partitioning, and data lifecycle strategies for large scale intraday and historical datasets Lead integrations with vendor platforms and ensure consistent, reliable data across internal consumers Optimize query performance and data access patterns for PM, Trader, and Quant use cases Own production stability for business critical data systems, particularly during trading hours Define and enforce best practices for monitoring, alerting, incident response, and root cause analysis Proactively identify performance bottlenecks, scalability risks, and operational weaknesses Mentor engineers, providing technical guidance and raising overall team capability What it takes Proven significant professional software engineering experience combined with significant domain expertise gained from building real time data platforms in investment management domain Strong experience in integration with real time vendor platforms like OneTick, and strong experience in time series databases and analytical platforms Strong hands on experience in Java, Python and other programming languages, and building scalable services on AWS Proven experience acting as a Lead Engineer on mission critical systems involving real time streaming and messaging technologies on Cloud infrastructure (AWS) Deep understanding of financial time series characteristics (high volume, bursty data, corrections, late data) and proven ability to design scalable schemas and query models for both intraday and historical analytics Strong understanding of market data, orders, executions, positions, portfolios, and pricing Experience balancing latency, storage efficiency, and analytical flexibility Familiarity with vendor data ecosystems (e.g. Bloomberg, Refinitiv, MarketAxess) Experience delivering platforms used directly by PMs, Traders, and Quant teams Strong ability to influence technical direction and mentor senior and junior engineers Special Factors Vanguard is not offering visa sponsorship for this position This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday) Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Flexible hybrid - one day per week in Bath, London or Edinburgh About us Seccl is the Octopus-owned embedded investment platform that's on a mission to helping more people to invest - and invest well. We're B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We're also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role We're looking for a Senior automation engineer to join our Automation & AI Enablement team. Reporting to an Engineering manager, you'll work closely with colleagues across engineering, product, operations and our customer-facing teams to identify complex operational problems and create simpler, faster and more scalable ways of working. The team helps Seccl make better use of automation and AI as we continue to grow. You'll get under the skin of ambiguous processes, design improved workflows and build practical solutions using the right tool for the problem - whether that's TypeScript, Python, an agentic system or a low-code platform such as Zapier or Microsoft Power Platform. You'll take ownership from initial discovery through to delivery and operation, balancing speed, quality and long term maintainability. On a typical day you will be Working with engineering, product, operations and customer-facing teams to uncover inefficient, manual or unclear processes Turning ambiguous business problems into well-designed, scalable automated workflows Choosing the right tool for each problem, from TypeScript or Python to LLMs, agentic systems and low-code platforms Designing, building, testing and operating reliable automation and AI-enabled services Applying appropriate quality gates, guardrails and human oversight to AI-driven workflows Owning your solutions throughout their lifecycle, including documentation, observability, support and continuous improvement Evaluating emerging LLM models, agentic tools and automation approaches based on their practical benefits and trade-offs Sharing your knowledge and helping other engineers and teams adopt effective automation practices This role's for you if You have strong commercial experience with TypeScript or Python and are willing to learn whichever language is less familiar to you - TypeScript experience is slightly preferred You have experience writing or using agentic harnesses for software development and understand how to assess different orchestration approaches You understand the current frontier LLM landscape, its applications in software engineering and challenges such as hallucination, prompt injection, privacy, cost and latency You're comfortable choosing the right tool for the job, including low-code platforms such as Zapier or Microsoft Power Platform when custom code isn't the best answer You have an enablement mindset and naturally seek out ambiguity, inefficient processes and opportunities to design better ways of working You're a hands on builder who wants to understand a problem deeply, build the solution and remain accountable for running and improving it You understand how to make automation and AI-enabled systems reliable through testing, observability, validation, guardrails and human in the loop review You have experience working with cloud-based systems - AWS, serverless technologies, regulated industries or financial services experience is desirable This role isn't for you if You rely on a lot of top down direction. Here, you'll have a lot of freedom and ownership of your role, and you'll be expected to shape your own progression You're not comfortable working in a fast paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen You don't like change. You'll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty What's in it for you We offer a generous mix of benefits for the things that really matter to our people, including: A salary between £75,000 and £90,000 dependant on experience + reviewed annually 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave Two volunteering days per year Option to work abroad for up to six weeks a year Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget Length of service award - one month paid sabbatical at eight years 6% employer pension contribution, and life assurance Private medical insurance with AXA Health Enhanced Parental leave MacBook and up to £500 home office set up budget £750 per person learning budget Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace Strong financial wellbeing focus including access to Octopus Money, Octopus Share Incentive Plan and will writing offering via Octopus Legacy Perkbox - Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing Our culture We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation. Check out our Glassdoor page for the latest reviews or our LinkedIn for company updates and insights from the team. Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this, (following an initial chat with one of our Talent team): First stage - 45 mins competencies-based interview with the hiring manager Second stage - two-hour technical interview or assessment Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture