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HomeServe Finance is hiring a Senior Full Stack Engineer in London on a hybrid basis to help build the technology behind the future of home efficiency. You will design customer journeys and internal tools, taking ownership from design through deployment and working across the full stack. Youll collaborate with Product, Design and Engineering to deliver scalable, high-quality solutions using React, TypeScript, Python and Django, while mentoring peers and helping raise the technical bar.

HomeServe Finance is hiring a Senior Full Stack Engineer London (Hybrid) Up to £95,000 + 20% bonus + £7,000 car allowance + 6% matched pension HomeServe Finance is growing and we're looking for a Senior Full Stack Engineer to help us build the technology behind the future of home efficiency. We help homeowners access innovative finance solutions that make energy-efficient home improvements simpler, faster and more accessible. This is an exciting opportunity to join a growing technology team where you'll work across the full stack, influence technical direction and help shape products that have a real-world impact for customers. What you'll be doing Designing and building customer-facing journeys and internal tools that make lending simpler, faster and more accessible. Taking ownership of solutions from initial design and development through to deployment, iteration and continuous improvement. Developing products that support the full lending lifecycle, from application and credit decisioning through to servicing and collections. Working closely with Product, Design and Engineering colleagues to turn ideas into high-quality, scalable solutions. Helping shape engineering standards, architecture and AI-enabled development practices as the platform evolves. Mentoring others, sharing knowledge and helping raise the technical bar across the team. What's in it for you A competitive salary of up to £95,000. A 20% annual bonus opportunity. A £7,000 annual car allowance. A 6% matched pension to support your future. Hybrid working from our London office, with a minimum of two days per week in the office. Access to a wide range of employee benefits, wellbeing support and colleague discounts to support you both in and outside of work. About You What we're looking for We're looking for someone who brings: Strong full-stack engineering experience, particularly with React, TypeScript, Python and Django. Confidence building and consuming REST APIs, with a focus on clean, reliable and scalable solutions. Practical experience with PostgreSQL and AWS. A product-focused mindset, with the ability to solve problems in a way that works for customers and the business. Experience in using AI-assisted development tools, such as Claude Code, Cursor or similar, to improve quality, speed and delivery. A collaborative approach and the ability to thrive in a fast-moving environment where ideas, ownership and continuous improvement matter. Diversity & Inclusion At HomeServe, we're committed to creating a workplace where everyone feels welcome, valued and able to succeed. We actively encourage applications from people of all backgrounds, experiences and identities because we believe diverse teams build better products, make better decisions and create stronger businesses. Even if your experience doesn't perfectly match every requirement, we'd still love to hear from you. About Us Why HomeServe Finance? HomeServe Finance is part of the wider HomeServe Group, one of Europe's leading home services businesses. We're helping customers access simple, responsible finance for home improvements, with a growing focus on energy efficiency and sustainable living. We're investing in modern lending platforms, scalable technology and strong engineering standards as we build for the future. Join HomeServe Finance and help build the technology behind the future of responsible consumer finance and energy-efficient homes.

HEYSHAM PORT LTD is seeking a senior infrastructure specialist to own end-to-end Azure and hybrid cloud solutions for Group IT. You will implement, maintain and continually improve infrastructure ensuring high performance, stability and service availability. You will lead design and optimisation of Azure infrastructure, drive governance, security and operational excellence using IaC, automation, and proactive initiatives. Strong project delivery and cross-functional collaboration are essential.

Overview Join us in our mission to make money work for everyone. We're transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products. Location: London/Cardiff/UK Remote Salary: £86,000-105,000 + Benefits About Us We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets. Role Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result-oriented, motivated by the impact on customers and the business. You thrive in a fast-paced environment with significant autonomy. You're eager to expand your knowledge in both business and technology. Must Have Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices. Deep knowledge of statistical and machine learning models-gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. Strong attention to detail while maintaining an understanding of the larger picture. Excellent communication skills to articulate complex problems. Ability to build mutual respect and trust among diverse teams. Nice to Have Experience in UK/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview 60-minute Behavioral Interview All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability. What's in It for You £86,000 to £105,000 plus stock options and benefits. We can assist with relocation to the UK and provide visa sponsorship. This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London. We support your home office setup, providing Macbooks and additional resources for remote workers. Enjoy flexible working hours tailored to suit you and your team's needs. A learning budget of £1,000 annually for books, training courses, and conferences. And much more, inquire about our full benefits package. Equal Opportunities Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply. If you prefer a specific name, please include it in your application; full or birth names aren't necessary at this stage. Company Monzo Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom

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.

About the practice At Atos, we are looking to hire a System Integration Lead Architect to join our Business Process Services (BPS) organisation, delivering end-to-end digital transformation programmes for some of the UK's leading organisations. As part of this role, you will support a large-scale pensions platform transformation, migrating from a legacy mainframe-based system to an Atos-managed pensions platform (Sapiens Consolidation Master). Alongside this, we are developing a modern, internet-facing customer portal to replace key elements of the existing platform. These initiatives form part of a broader System Integration (SI) programme, where you will provide end-to-end technology leadership, ensuring the safe, controlled, and high-quality delivery of this complex transformation. The role spans programme delivery, testing, data migration, stakeholder management, operational services, and release governance, with full responsibility for technical architecture and delivery. Where purpose meets career Lead a senior, high-impact role within a large-scale transformation programme, driving end-to-end system integration Accelerate your career development through complex delivery, leadership exposure, and growth opportunities within Atos Join a globally recognised, trusted brand, with access to internal mobility and long-term career opportunities across Atos Key Responsibilities Provide end-to-end technology leadership across the System Integration programme (Heritage & Portals) Define and enforce architecture, engineering, and integration standards across delivery teams Lead large-scale migration and transformation activities, including development, testing, and data migration Establish and maintain governance frameworks for technical architecture and change management Act as the senior technical representative in stakeholder forums, engaging with client leadership and partners Skills we can't do without Proven experience leading large-scale system integration and transformation programmes Strong background in enterprise architecture and complex application delivery environments Experience within Financial Services or regulated environments Demonstrated capability in technical governance, stakeholder management, and delivery leadership Hands-on expertise in migration programmes (legacy to modern platforms) Skills we'd like Experience with Sapiens Consolidation Manager / Pensions Management Platforms Knowledge of Pega platforms or similar CRM/workflow technologies Additional Requirements Candidates must be eligible to obtain and maintain BPSS clearance. Location: Hybrid working model, with up to 3 days per week on-site in Edinburgh required. 25 days paid leave + National Holidays Pension Scheme - contributions matched up to 10% Private Medical Cover Income Protection Life Assurance Flex Benefits Program We are a care leaver friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated email. As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to make reasonable adjustments to the application and assessment process to accommodate your needs. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Select how often (in days) to receive an alert: Date: 24 Jul 2026 Location: Liverpool, GB, L21 1LA Your Role In this role, you will take end-to-end ownership of infrastructure services across Group IT, delivering and supporting secure, resilient Azure and hybrid cloud solutions that align with business needs. You will act as a hands-on technical specialist, responsible for implementing, maintaining, and continually improving infrastructure throughout its full lifecycle, ensuring high levels of performance, stability, and service availability. You will play a key role in the design, implementation and optimisation of Azure infrastructure, ensuring cloud services are secure, scalable, cost-effective and aligned with best practice. You will contribute to Azure governance, security and operational excellence through the adoption of Infrastructure as Code, automation, monitoring, and proactive service improvement initiatives With a strong focus on Azure cloud platforms, you will contribute to the development and evolution of the organisation's cloud strategy, using your operational and project delivery experience to help shape future direction. You will also serve as a 4th Line escalation point, providing expert technical support for complex issues, driving root cause analysis, and implementing long-term improvements that enhance service reliability and efficiency. What you'll bring You will have extensive experience operating at a senior technical level within complex IT environments, with a strong track record of delivering cloud and infrastructure projects from inception to completion. You will bring deep expertise across Microsoft technologies, including Azure, Microsoft 365, virtualisation, networking, identity, and hybrid cloud platforms, enabling you to design and support scalable, resilient, and business-aligned solutions. You will have experience with automation and Infrastructure as Code technologies such as PowerShell, Azure Automation, Terraform or Bicep, enabling the delivery of consistent, scalable, and supportable infrastructure solutions. You will be confident managing live service environments, resolving escalated incidents through root cause analysis, and working closely with third-party suppliers. A strong understanding of change management, governance, risk, and service stability is essential, alongside the ability to integrate technologies into effective end-to-end solutions. Cloud experience is essential, and you will be a project-driven engineer with a proactive and delivery-focused approach. Who are we? Already one of the UK's leading port and logistics companies, we are planning substantial capital investment over the next 5 years to achieve our vision of becoming the UK's leading port operator. We have ambitious plans to grow and transform the supply chain to benefit our customers. Our investments are decarbonizing our operations, which in turn is helping us work towards our goal of having Net Zero Port Operations by 2040. Much of our success depends on our unrivalled facilities and technology. But in our sector, it comes down to having the right talent to enable our organisation to grow. What we can offer you In addition to a competitive salary, we have a strong track record of developing our people to expand their skills and experience and develop their careers. Valuing and rewarding our workforce is important to us which is why we offer a fantastic range of flexible benefits to choose from, such as: Up to 10% Matched Contribution Pension Peel Ports Flexible Benefits including salary sacrifice car scheme, healthcare cash plans, Cycle2Work Scheme, Critical Illness insurance, Gym Membership Scheme, Retail Vouchers, plus more! Commitment to learning and personal development - Last year we supported over 50,000 hours of training and personal development! We promote good physical and mental health and can provide additional support to colleagues via our Employee Assistance Programme when required

Overview The energy transition drives an unprecedented growth in demand for and generation of electricity. To accommodate this growth, the capacity of transmission systems is projected to grow three-fold. High voltage direct current (HVDC) transmission systems will connect remote and offshore renewables, interconnect energy markets and reinforce AC grids. Converter stations convert AC to DC and vice versa. The control and protection systems are central to the operation of HVDC valve technology, ensuring efficient, safe, and reliable performance of power electronic valves and peripheral equipment. GE Vernova's Grid Systems Integration business line offers control and protection solutions for both voltage sourced converter (VSC) and line-commutated converter (LCC) HVDC valve technologies to meet the transmission planning needs of utilities, system operators, developers and industrial clients worldwide. The control & protection algorithms are key to enabling HVDC transmission systems' functionality, capabilities and performance. GE Vernova's HVDC NPI team requires Principal Engineers who act as technical consultants, ensure customer confidence, review and enhance design practices, gate-keep technical reviews, apply lessons learned, lead complex technology improvements, engage with quality reviews and cost optimization exercises within and across domains. GE Vernova is currently looking for an experienced technical specialist to join us as Principal Engineer - Control & Protection Systems/Application. Key Responsibilities Serve as a recognized technical authority in Voltage Sourced Converter HVDC control & protection algorithm solutions, internally and externally, and act as a technical advisor to senior leadership and Consulting Engineers. Lead the development of New Product Introduction (NPI) programmes for VSC HVDC control and protection. Act as a technical authority for VSC HVDC NPI developments, approving designs, reviewing execution plans, and mentoring new talent. Contribute to and drive internal and external standardization, coordinate working group activities and represent GE Vernova in IEC/CIGRE and similar bodies, task forces and industry committees. Support internal stakeholders and Consulting Engineers to develop and maintain a strategic HVDC Control & Protection Algorithms technology roadmap. Suggest areas for technological advancement and recommend approaches/programs to pursue. Participate in Patent Evaluation Board (PEB) to protect technology and company IP. Oversee R&D programmes from conception through industrialisation, integrating new technology into production and ensuring project delivery. Chair and act as technical authority in technology and product development gate reviews. Collaborate across GE Vernova businesses to promote technology synergies. Lead/support project teams in addressing identified project challenges in focused technical areas. Support project technical tendering and delivery for new solutions; assist quality teams on major issues and act as technical authority in root cause analysis. Provide technical consultation on product problems across the business, including supplier and field support; perform technical rescues when needed. Mentor and coach identified high-potential engineers within one's business lines. Chair design reviews for components, sub-assemblies and key deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Consult with and support the Chief Engineer's Office in executing technical objectives to implement best practice technologies, methods and process adherence. Qualifications / Requirements The position requires deep technical understanding of technologies and design techniques for high-availability, real-time, flexible control systems. The candidate should understand communication and computing platform technologies and how to translate this into value for GE Vernova customers. This requires a strong foundation in both R&D and project engineering, with demonstrated depth and recognition as a domain expert in large-scale, high-reliability real-time control systems, and the ability to apply state-of-the-art technology to complex challenges. Master's degree or Ph.D. in electrical and electronic engineering, or related to control system solutions, ideally with a focus on power systems. At least 15 years of experience in industrial applications as a technical lead. At least 5 years of experience leading technical teams to meet business deadlines with high-quality deliverables. At least 5 years of experience producing high-quality requirements, design and test specification documents. At least 5 years of experience developing control and protection algorithms using model-based design practices. At least 5 years of experience conducting EMT studies for power systems. Excellent understanding of VSC-HVDC technology with knowledge of: control algorithm principles, software architecture, integration, grid forming control, performance verification and regulatory frameworks, grid codes and standards. Familiarity with patent evaluation, application and management. Open to occasional business travel. Desired Characteristics Experience with multi-terminal HVDC systems. Experience with MATLAB/Simulink & PSCAD. Strong written and oral communication and interpersonal leadership skills. Ability to pursue correct engineering processes in adverse conditions and to interface with all levels of the organization. Knowledge and experience working in an Agile methodology. Considered an industry expert and thought leader in HVDC control & protection algorithms. Additional Information Relocation Assistance Provided: No

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

"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details

United States Digital Space LLC in Cambridge is seeking skilled Software Engineers to join their team in developing a cutting-edge software ecosystem. The role focuses on embedded software design and debugging, ensuring high-quality software delivery across various platforms. The ideal candidates will have strong C/C++ skills, experience in software testing, and knowledge of system architecture. A competitive salary range of £73,500 - £99,500 per year is on offer, along with a commitment to equal opportunities.

"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high performing data and AI products that underpin data driven decision making across British Airways. What you'll do: Lead the end to end delivery and lifecycle management of data science products and initiatives Scope and frame ill defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision support tools Design, build and deploy production ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross functional Agile squads Contribute to feature prioritisation and road mapping, balancing speed and long term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship building capability Experience coaching, developing and line managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

Associate Manager - High Tech Strategy & Transformation London Career Level 8 Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO About the Role As a Consultant within Accenture's High Tech Industry practice, you'll work with leading technology companies to solve complex business challenges, shape growth strategies and deliver technology-enabled transformation. You'll work across Enterprise Technology, Consumer Technology, Semiconductor, Data Centre and Digital Infrastructure clients. Projects may include AI and data transformation, operating model design, business strategy, digital platforms, customer experience and large-scale technology programmes. Key Responsibilities Support strategic and technology transformation programmes for High Tech clients. Analyse business challenges and develop data-driven recommendations. Work with cross-functional teams using Agile delivery methodologies. Contribute to AI, cloud, data and digital transformation engagements. Build trusted client relationships through high-quality delivery. Prepare presentations and executive materials for senior stakeholders. Collaborate across Accenture Strategy, Technology, Data & AI and Industry teams. Skills & Experience Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to translate data into actionable insights. Experience managing multiple priorities in a fast-paced environment. Collaborative mindset with strong stakeholder management. Interest in AI, cloud, automation and emerging technologies. Experience with Agile delivery approaches is advantageous. Preferred Background Technology Consulting Engineering Computer Science Data & AI Digital Transformation Business Strategy Product Management Technology Operations Experience within the High Tech sector is beneficial but not essential. What Success Looks Like Intellectual curiosity and continuous learning. Commercial awareness and understanding of technology businesses. Strong communication with technical and non-technical stakeholders. Proactive ownership and delivery mindset. Excellent teamwork and relationship-building. Ability to simplify complex problems into practical recommendations. Desired Capability Areas AI and Generative AI Technology Transformation Commercial Strategy and Growth Data Centres & Digital Infrastructure Operating Model Design Data & Analytics Product & Platform Strategy Client Relationship Management Business Development & Origination Support About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you'll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that's why we offer support any way we can-when you thrive, we all thrive. Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details

Senior Software Engineer - AI Native Platforms Function: Tech Location: Hybrid - London or Peterborough Curious about what's next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. As a Senior Software Engineer - AI Native Platforms, you'll help build the next generation of AI-enabled engineering at Compare the Market. As the Senior Software Engineer, you will lead development of first-class technical solutions whilst also actively contributing to and leading a culture of innovation, enthusiasm and passion. You will work with Engineering Managers and Product Management to support the goals and objectives on your team, developer tooling and AI-enabled platforms that make engineering faster, smarter and more scalable. What you'll be doing: Develop and maintain backend services that support AI-enabled applications and agent-ready platforms. Contribute to the application of Generative AI to modernise legacy systems and improve engineering productivity. Build APIs and services that enable AI agents to interact safely and effectively with our platforms. Help develop internal tooling that supports AI-native software development practices. Collaborate with engineers, architects and product teams to deliver secure, scalable and maintainable software. Participate in code reviews, testing and continuous improvement activities to maintain high engineering standards. Learn and apply emerging AI engineering techniques while contributing ideas that improve our platforms and developer experience. What we're looking for: You'll have commercial experience developing backend software and enjoy solving technical problems in modern engineering environments. You're passionate about building reliable, high-quality software and are excited by the opportunity to work with emerging AI technologies. You'll already have demonstrable exposure to - as well as a genuine interest in: Large Language Model (LLM) integration and prompt engineering AI agents and agent orchestration Retrieval-Augmented Generation (RAG) AI observability, experimentation and model evaluation Experience with cloud platforms, APIs, distributed systems and modern software engineering practices will help you succeed in this role. Most importantly, we're looking for someone who's curious, collaborative and eager to learn. You'll enjoy working alongside experienced engineers, embracing new technologies and continuously developing your skills while helping to shape the future of AI-native engineering at Compare the Market. Why Compare the Market? We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you. Job Info Job Identification 100323 Job Category Technology Posting Date 07/21/2026, 07:25 AM Job Schedule Full time Locations London, United Kingdom Peterborough, Cambridgeshire, United Kingdom