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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

Implements end-to-end features across application and data layers with growing autonomy. Designs data models for common patterns (including star/snowflake for analytics), optimizes queries, and debugs performance issues. Leverages the company Application Express and PL/SQL where appropriate; adds telemetry to track usage, conversion, and latency. Applies secure coding practices, reviews peer code, and improves documentation of service contracts.Only the company brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request\ or by calling 1- in the United States. the company is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. the company will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Key Responsibilities Data Systems Software Development: Deliver end-to-end features spanning application services and the company Database data models (including star/snowflake patterns). Diagnose and improve query and API performance affecting user experience and service-level agreements. Introduce controlled experiments (A/B tests) with clear success metrics and data collection plans. Designs existing and new services. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up-to-date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Core Responsibilities Planning \& Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration \& Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work.

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.

QCP Group in the United Kingdom seeks a senior technical professional to design, architect and build enterprise systems that power our trading, operations and risk workflows. You will influence architecture decisions and shape scalable software foundations. You will develop tools, reports and data feeds to meet business requirements, own software quality and resiliency, and collaborate with heads of business lines and front-office teams across geographies to deliver robust solutions.

United States Digital Space LLC is seeking software professionals to implement end-to-end features across application and data layers, designing data models (star/snowflake) for analytics, optimizing queries, and debugging performance issues. The role leverages PL/SQL, telemetry, and secure coding practices to deliver reliable services powering AI and cloud solutions. You will collaborate across teams, review code, and contribute to documentation while focusing on scalability and customer impact.

Marks & Spencer Plc is looking for a Software Engineering Manager to help lead the digital transformation of their brand. In this role, you will manage a high-performing software engineering team within the Fashion Home and Beauty division. Your responsibilities will include ensuring the operational stability of software solutions and delivering high-quality initiatives that align with business objectives. The ideal candidate should have extensive experience in software engineering and a strong leadership background. Benefits include a competitive salary, annual bonus, and a range of employee perks such as discounts and training opportunities.

ABOUT US: the company is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE SUMMARY: We're looking for a Senior Java Developer to join our team. You'll help develop and improve systems that support FX trading. Your work will play a meaningful role in delivering reliable and efficient trading experiences. You'll focus on making our applications faster, more stable, and easier to scale. You'll work closely with engineers, product partners, and operations in a collaborative environment. You'll also have the opportunity to contribute ideas and help shape how we design and build our systems. WHAT YOU'LL BE DOING: Core Application Development Build and enhance backend applications using Java Design solutions that improve system reliability and scalability Contribute to improving performance and overall system stability Take ownership of features from development through to production Collaboration & Support Work with teammates across engineering, product, and operations Contribute to team activities such as planning, code reviews, and mentoring/coaching team members Investigate production issues and work on continuous improvement efforts Process & Quality Assurance Help improve how the team builds and delivers software Write automated tests and support continuous delivery practices Follow secure coding standards and support compliance requirements WHAT YOU'LL BRING: Experience developing backend systems in a professional environment Experience working with Java Understanding of system performance and concurrency Familiarity with development tools such as Git and CI/CD pipelines Comfortable working in a Linux environment Nice To Have: Experience in trading or financial systems Familiarity with messaging protocols (e.g. FIX) Personal Sills and Capabilities: You enjoy solving problems and learning new things You communicate clearly and work well with others You take ownership of your work and follow through You are comfortable working both independently and as part of a team Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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

Mark43 is seeking a software engineer to help lead our AI-enabled engineering initiative. You'll work at the frontier of AI and software development, designing multi-agent systems that plan, write, test, and deploy software with intelligent coding agents. You'll write prompts and scaffolding to guide agent behavior, integrate tools like file systems, test runners, version control, and internal APIs, and evaluate collaboration patterns and performance.

"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

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience in Infrastructure as code (IAC) such as Terraform or equivalent Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages. Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures

"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

Discover your future at the company Working at the company is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At the company, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We're looking for an enthusiastic & talented server side engineer, to join our high-impact teams inside the company's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, productivity and automation of our strategic developer tools internal tools used across the bank. We embody modern best delivery best practices, experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. We are here to be opinionated and challenge processes and procedures making software delivery easier, more enjoyable and safer. At the company's scale saving tens of minutes per day, equates to £10,000,000s of savings We believe happy engineers make the best engineers and are a technology managed department. Opportunity There are many exciting automation and simplification opportunities across the suite of strategic CTO owned tools related to developer release practices and SDLC alignment. Two closely related key strategic projects will require your expertise driving solutions are as follows: Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. The tool is expanding at a rapid pace across the enterprise and is expected to double its release volumes for the third year running. RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining codified quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA) SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at the company, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Write code and deliver. You are a delivery focussed engineer for our back end services. That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build. You'll have a real voice in our architecture and technical roadmap. Your opinion matters Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player. Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What We're Looking For. What you should haveA selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands-on experience building and running production-grade services. You're still writing code regularly. You're good at it Strong server-side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event-driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server : Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness, Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining the company London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits the company is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. But wait there is more - Job Family Group: Technology- Job Family: Applications Development- Time Type: Full time- Most Relevant Skills Please see the requirements listed above.- Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.- the company is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.