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Job Overview Amazing Career Moments Happen Here Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we're not just redefining what's achievable, we're creating a place where amazing career moments are made possible. Position Overview We're searching for a Cloud Operations Engineer to join our Cloud Operations team in a hybrid work capacity from our Belfast or Brighton offices. If you enjoy solving practical problems in production systems, collaborating across teams, and steadily raising the quality bar, this is for you. This role operates in a 10 hour, 4 day compressed week (8AM to 6PM or 10AM to 8PM) on 28 day rotation with 4 day blocks including weekends. To keep us headed in the right direction, we're looking for people who understand winning is a team sport, who value and seek to learn from our team's diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun. What You'll Do Follow security best practices to protect customer data Troubleshoot app/database issues using structured diagnostics Support incident response and service restoration with clear updates Execute changes (updates, migrations, configs) within controls/windows Monitor system health; resolve or escape risks appropriately Maintain docs and improve processes through automation and collaboration We're Excited to Learn More About You Your experience may include: 3+ years of experience in a production operations environment Strong troubleshooting across apps, systems, and databases SQL & Microsoft Server experience (backup/restore) Windows & enterprise infrastructure knowledge; monitoring/log analysis Process-driven with solid judgment, communication, and teamwork You may have other skills or credentials, including: Experience with scripting, automation tools (e.g., PowerShell), AI Agent Knowledge of public cloud platforms (e.g., GCS, AWS) and related terminology Microsoft or SQL certifications Experience mentoring or supporting the development of other team members We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply! When You Join Team Applied, You Can Expect: A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. A comprehensive benefits and compensation package Private Medical Insurance, including Dental and Vision Holiday and Vacation Time Health & Wellness Days A Bonus Day for Your Birthday Learn more about the people behind our products at Your Security Matters: Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Job Description - Attack Surface Management Analyst (17023) We are easyJet - a FTSE listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you're reading this, you have probably already been an easyJet customer, and you'll know that there is no more iconic (or Orange!) travel brand in Europe. We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We're on a mission to make low-cost travel easy - and whatever your role here, you'll connect millions of people to what they love using Europe's best airline network, great value fares, and friendly service. What makes us easyJet? Our Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. Read on if you Have experience in vulnerability management, attack surface management or cybersecurity Enjoy solving complex security challenges and reducing cyber risk Thrive in a fast paced, collaborative environment Are passionate about emerging technologies and secure innovation Want to make a real impact across a large, complex digital estate The Team You'll join the Attack Surface Management (ASM) team within easyJet's Cyber Threat Exposure Management (CTEM) function. The team is focused on identifying, validating and reducing cyber exposures across cloud, on prem and third party environments. Working closely with Cyber Threat Intelligence, Advanced Threat Protection, SOC, Engineering and business teams, you'll help deliver threat led vulnerability management and measurable risk reduction across the organisation. The Role As an Attack Surface Management Analyst, you'll play a key role in helping easyJet identify and reduce cyber exposures across our technology landscape. You'll turn vulnerability and exposure data into clear, prioritised actions and work closely with stakeholders across technology and the wider business to drive remediation and reduce risk. You'll also support the development of vulnerability management capabilities in emerging technology areas, including AI enabled systems, helping ensure new technologies are deployed securely and responsibly. Key responsibilities include: Identifying, validating and assessing exposures across cloud, on prem and third party assets Triaging vulnerabilities and prioritising remediation based on threat, exploitability and business impact Partnering with IT, Engineering and business teams to drive remediation through to resolution Tracking remediation activity and helping remove blockers to progress Supporting analysis of recurring vulnerabilities and exposure trends to reduce repeat issues Helping improve secure build and deployment practices across the software development lifecycle Supporting the identification and management of vulnerabilities within AI enabled systems and supporting pipelines Assisting with vulnerability disclosure programme submissions and remediation workflows Producing clear reporting and dashboards on vulnerability trends and remediation progress Supporting the effective use and optimisation of vulnerability management and CNAPP tooling Collaborating across Cyber Threat Exposure Management teams to strengthen detection and response capabilities Requirements of the Role What we're looking for Understanding of cloud environments including AWS, Azure and GCP, and associated security risks Knowledge of common security exposures such as misconfiguration, identity risk, secrets exposure and API security Familiarity with vulnerability management tooling and/or CNAPP platforms Strong analytical, communication and problem solving skills Understanding of vulnerability scoring, prioritisation and remediation processes Ability to build strong working relationships across multidisciplinary teams A proactive mindset and confidence working in a dynamic environment Desirable experience Experience within vulnerability management, attack surface management or a related cybersecurity field Knowledge of frameworks such as MITRE ATT&CK and Cyber Kill Chain Awareness of security and compliance standards such as PCI DSS Relevant security certifications including GIAC, AWS or CompTIA Experience with application security testing tools such as SAST or DAST What you'll get in return Up to 20% bonus 25 days holiday BAYE, SAYE and Performance Share schemes PMI Life assurance Flexible benefits package Excellent staff travel benefits Practicalities This is a full time position. We support hybrid working and spend time together as a team in our Luton HQ offices. Reasonable adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Job Description - Attack Surface Management Analyst (17023) We are easyJet - a FTSE listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you're reading this, you have probably already been an easyJet customer, and you'll know that there is no more iconic (or Orange!) travel brand in Europe. We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We're on a mission to make low-cost travel easy - and whatever your role here, you'll connect millions of people to what they love using Europe's best airline network, great value fares, and friendly service. What makes us easyJet? Our Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. Read on if you Have experience in vulnerability management, attack surface management or cybersecurity Enjoy solving complex security challenges and reducing cyber risk Thrive in a fast paced, collaborative environment Are passionate about emerging technologies and secure innovation Want to make a real impact across a large, complex digital estate The Team You'll join the Attack Surface Management (ASM) team within easyJet's Cyber Threat Exposure Management (CTEM) function. The team is focused on identifying, validating and reducing cyber exposures across cloud, on prem and third party environments. Working closely with Cyber Threat Intelligence, Advanced Threat Protection, SOC, Engineering and business teams, you'll help deliver threat led vulnerability management and measurable risk reduction across the organisation. The Role As an Attack Surface Management Analyst, you'll play a key role in helping easyJet identify and reduce cyber exposures across our technology landscape. You'll turn vulnerability and exposure data into clear, prioritised actions and work closely with stakeholders across technology and the wider business to drive remediation and reduce risk. You'll also support the development of vulnerability management capabilities in emerging technology areas, including AI enabled systems, helping ensure new technologies are deployed securely and responsibly. Key responsibilities include: Identifying, validating and assessing exposures across cloud, on prem and third party assets Triaging vulnerabilities and prioritising remediation based on threat, exploitability and business impact Partnering with IT, Engineering and business teams to drive remediation through to resolution Tracking remediation activity and helping remove blockers to progress Supporting analysis of recurring vulnerabilities and exposure trends to reduce repeat issues Helping improve secure build and deployment practices across the software development lifecycle Supporting the identification and management of vulnerabilities within AI enabled systems and supporting pipelines Assisting with vulnerability disclosure programme submissions and remediation workflows Producing clear reporting and dashboards on vulnerability trends and remediation progress Supporting the effective use and optimisation of vulnerability management and CNAPP tooling Collaborating across Cyber Threat Exposure Management teams to strengthen detection and response capabilities Requirements of the Role What we're looking for Understanding of cloud environments including AWS, Azure and GCP, and associated security risks Knowledge of common security exposures such as misconfiguration, identity risk, secrets exposure and API security Familiarity with vulnerability management tooling and/or CNAPP platforms Strong analytical, communication and problem solving skills Understanding of vulnerability scoring, prioritisation and remediation processes Ability to build strong working relationships across multidisciplinary teams A proactive mindset and confidence working in a dynamic environment Desirable experience Experience within vulnerability management, attack surface management or a related cybersecurity field Knowledge of frameworks such as MITRE ATT&CK and Cyber Kill Chain Awareness of security and compliance standards such as PCI DSS Relevant security certifications including GIAC, AWS or CompTIA Experience with application security testing tools such as SAST or DAST What you'll get in return Up to 20% bonus 25 days holiday BAYE, SAYE and Performance Share schemes PMI Life assurance Flexible benefits package Excellent staff travel benefits Practicalities This is a full time position. We support hybrid working and spend time together as a team in our Luton HQ offices. Reasonable adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Role Overview Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications. What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects. Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams. Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We're hands on with emerging technologies - exploring what works, what scales, and what's next. Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Software engineers with a passion for AI - or data scientists who've embraced engineering. People who experiment, prototype, and explore emerging AI tools in their own time. Strong foundation in a language suited to AI system development and data workflows. Experience integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud native (AWS / GCP / Azure) and DevOps / DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Security and Residency Requirements Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard; however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Benefits Health and lifestyle perks accompanying private healthcare for you and your family. 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days. Generous company pension scheme. Opportunity to get involved with community and charity based initiatives. Annual performance based bonus. PA share ownership. Tax efficient benefits (cycle to work, give as you earn). Equality and Inclusion We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from under represented groups. Adjustments or Accommodations Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on .

Software Engineer Cirata Symphony Engineering Team 2+ years experience Full-time Hybrid (3 days office based) Seniority: Engineer Languages: Java or Go Experience: 2+ years About the Role Cirata Symphony is an intelligent data orchestration platform that moves petabytes of data across on premises, cloud, and multi cloud environments - continuously, securely, and without disruption. We work with regulated enterprises in financial services, telecoms, and automotive who cannot afford downtime or data loss. As an Engineer on the Symphony team, you will contribute to the core services that power real time data movement, replication, and orchestration. You will work alongside experienced engineers building reliable, high throughput systems that customers trust with their most critical data. We are an AI forward team. We actively embrace AI assisted development - from coding assistants and AI powered code review to MCP connected tooling that integrates directly into customer workflows. We don't block these tools; we build with them. If you're curious about how AI can make you a more effective engineer, you'll fit right in. What You'll Work On Backend services in Java and Go that orchestrate live data flows across HDFS, S3, ADLS, GCS, Apache Iceberg, Databricks, and Snowflake Replication and synchronisation pipelines that handle petabyte scale volumes with low latency Governance and audit subsystems ensuring compliance grade security, lineage tracking, and access controls Internal tooling and automation that improves reliability, observability, and developer experience Unit, integration, and performance tests to maintain confidence in a zero downtime product MCP/AI workflows that unlock customer data Requirements 2+ years of professional experience writing production Java, Go, or both Solid understanding of concurrent programming and OOP principles Experience designing or consuming REST APIs and understanding HTTP semantics Comfortable working with Git, code reviews, and CI/CD workflows Strong communication skills Experience working in Linux environments Comfortable using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) as part of your day to day workflow Nice to Have Experience with Apache Hadoop, HDFS, or similar large scale data platforms Familiarity with at least one cloud storage platform (AWS S3, Azure ADLS, or Google Cloud Storage) Familiarity with Apache Iceberg, Delta Lake, or open table formats Exposure to Apache Kafka or other message streaming systems Knowledge of Kubernetes, Docker, or container orchestration Experience building or integrating MCP (Model Context Protocol) servers or AI tool use pipelines What We Offer The chance to work on genuine enterprise scale systems Mentorship from experienced engineers Flexible hybrid working with a collaborative, low ego engineering culture Access to the latest AI developer tooling - we invest in tools that make engineers more effective Competitive salary and benefits package

Your Role Corpay is looking to hire a Support Engineer to support key business applications by managing system alerts, troubleshooting issues, and assisting both internal teams and clients. What You'll Be Doing As a Support Engineer, you will manage and resolve system alerts, troubleshoot issues, and support both internal teams and clients. You will collaborate with cross functional teams to maintain and improve system reliability, perform debugging, root cause analysis, and system optimisation. How We Work Hybrid environment based in our London office. Assigned office workspace and home office set up Company issued equipment Formal, hands on training Role Responsibilities Act as the first point of contact for system alerts and issues raised by clients or internal teams Investigate system alerts, analyse logs, and gather data to diagnose and resolve issues effectively Use tools like Datadog and other monitoring platforms to detect and respond to system anomalies Collaborate with other departments (Settlements, Compliance, Client Services, and Connectivity teams) Manage incidents in line with SLAs, ensuring timely resolutions Analyse system logs, debug issues, and identify root causes Create and run scripts to query databases Work with APIs to debug integration issues Document common issues and resolutions Improve system performance and workflows Communicate directly with clients when needed What We Need Hands on experience with AWS Strong SQL/database skills Experience with APIs (REST) Strong debugging and troubleshooting skills Experience with monitoring tools (Datadog, etc.) Strong communication and problem solving skills Benefits & Perks 4 life insurance Pension scheme - 5% employer contribution Private healthcare 25 days holiday (plus holiday buy/sell) Access to LinkedIn Learning Free rewards and discounts via Gratitudes Equal Opportunity Employer Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran or military status, or any other group status protected by law. If you require reasonable accommodation for the application or interview process, please notify a representative of the Human Resources Department.

Data Engineer Location: London (Paddington) Hybrid (3 days in-office) Full-time About wawa fertility 17% of adults worldwide need help to have a baby and by 2050, that number will reach nearly 50%. Yet only 2% can access fertility treatment today. That's not a gap; it's a canyon. And we're building the bridge. At wawa fertility, we're on a mission to make fertility care accessible to 100% of those who need it transforming success rates and accessibility worldwide. Our end-to-end platform digitises the entire fertility journey, enabling clinics to swap spreadsheets for seamless workflows and spend less time on admin, more time on life-changing care. We're not tiptoeing around an industry plagued by stale incumbents and outdated tech. We're sprinting through it. With proven product market fit, our platform is live in 14+ countries and scaling fast. Clinics trust us. Patients rely on us. And the impact we're making is real. We're building the operating system for the future of fertility care. And we'd love you to help us deliver it. The Mission To make fertility care accessible to everyone who needs it because the right to start a family shouldn't depend on where you live or what you earn. Who You Are You're a builder who takes ownership. We're collaborative without the bureaucracy. There's no long permission queue, just a mission driven team working together to get meaningful things shipped. You craft trustworthy systems. You care about the humans at the end of every pipeline: the nurse checking scan results at 7am, the clinic lead staring at a dashboard, the patient whose record has to be exactly right. Clean, reliable, well modelled data is non negotiable for you. You'll be working inside a small team of data folks. Autonomy is important, but collaboration is a priority. What You'll Do This is a role for builders who want to make a direct impact. We're creating a complete operating system for fertility clinics, and the data layer underneath it is the nervous system. From embryology records and follicle scans to payments and outcomes, you'll turn messy, high stakes clinical data into a clean, trusted foundation the whole product runs on. Design and ship data pipelines end-to-end: ingesting from EMR and clinic source systems, modelling into a canonical data layer, and serving analytics ready datasets and insights. Work closely with customers to migrate and validate data from their old EMR to wawa. Managing customers through complex data migrations step by step to ensure they have the best start with Wawa. Solve genuinely complex problems daily: heterogeneous healthcare data, schema mapping across clinics, data quality and validation, and multi country compliance. Collaborate with application engineers and clinicians to deliver datasets and metrics that are accurate, well documented, and genuinely useful. Shape the data architecture and engineering culture of a platform used by clinics across 14+ countries and scaling fast. What You Bring A deep appreciation of well modelled data, with the chops to build elegant, scalable pipelines and a sensible warehouse. Experience working with clinical healthcare datasets and standards (OMOP is a plus). Experience building production data pipelines with strong SQL and Python (bonus points for AWS and Ruby). Comfortable working directly with clinics and external stakeholders. Transparent and honest communication. A collaborative, respectful, and positive presence on the team. An eye for data quality and a drive to build pipelines that are reliable and observable. What We Offer Mission-Driven Work Help solve the global fertility crisis. Every feature you ship helps make care more accessible for families worldwide. Generous Rewards Share in the company's success. Your contributions are reflected in meaningful equity and real upside. Ownership & Impact No red tape and no waiting for permission. You'll define, build, and ship - with direct impact on the product and the mission. Growth & Learning Develop professionally while shaping the future of healthcare technology. Wear many hats and level up fast. Early Team Magic Join the founding crew. Help set the standards, culture, and direction of the company for years to come. Hybrid & Flexible 3 days a week at our Paddington office, with flexibility built in. We trust you to do great work wherever you are. Why wawa? Because we've already found strong product market fit. Because clinics in 14+ countries rely on us every day. Because our platform handles everything from embryology records to patient payments and we're just getting started. Because we're a small team doing enormous things. Because you'll never wonder whether your work matters here. And because helping millions of families start is the kind of purpose that makes Monday mornings feel different. Big challenges. Bigger impact. The best colleagues you'll ever work with. Equal Opportunity Statement wawa fertility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. Website

Job Title: Mid-Level Full Stack Developer Location: Remote Salary: £45,000 per annum Job Type: Full Time, Permanent About us: ORCHA is one of the UK's fastest growing digital health organisations. We operate the world's largest digital health assessment platform and library and have a suite of exciting products and services that are all geared towards getting more people using and benefiting from great health and care related apps. About the role: We're looking for an experienced Mid-Level Full Stack Developer to join our engineering team and play a significant role in the design, development, and delivery of our products. This role is ideal for someone at the upper end of mid-level, with strong commercial experience across both frontend and backend development who is ready to take real ownership of their work. You will deliver features end to end with minimal supervision, contribute to technical and design decisions, and help raise standards across the team. The role combines hands on development with a growing influence on how we build software. A key part of this role is the effective use of modern development tools, including AI, to improve productivity and deliver work efficiently. Key duties: Take ownership of features end to end, across both frontend and backend Design and implement solutions to well defined problems with minimal supervision Lead the delivery of medium sized pieces of work from scoping through to release Diagnose and fix complex bugs and improve performance, reliability, and maintainability across the stack Contribute to technical design discussions and decisions Review code from other developers and provide constructive feedback Write clean, well tested, maintainable code and help raise team standards Use AI tools to accelerate development, troubleshooting, and delivery Identify and drive improvements to internal processes and tooling Use of AI and tooling This role is expected to actively make use of AI as part of day to day development, including: Using AI tools to accelerate development and problem solving Writing, refining, and critically reviewing AI assisted code Using AI to support debugging and to navigate unfamiliar areas of the system Improving efficiency on routine tasks and helping establish good AI practices within the team We are looking for someone who is confident adopting new tools, can evaluate AI output critically, and uses these tools responsibly as part of a professional workflow. About you: Skills and experience: Essential: 4-6 years' experience in software development, with substantial commercial full stack experience Strong experience building user interfaces using modern web technologies (e.g. HTML, CSS, JavaScript, React or similar) Strong experience with backend development, APIs, and server side logic (e.g. .NET, Node.js or similar) A track record of delivering features independently, end to end Solid understanding of API design and integration Confident with version control and collaborative workflows (e.g. Git, pull requests, code review) Strong problem solving skills, attention to detail, and sound technical judgement Confident, responsible use of AI tools as part of development work Desirable: Experience with cloud platforms and modern deployment approaches (e.g. Azure, AWS, CI/CD) Experience with automated testing and quality practices Awareness of performance, security, and accessibility considerations Extensive use of AI assisted development tools (e.g. Claude, GitHub Copilot, ChatGPT) Personal qualities Self directed, proactive, and takes ownership of outcomes Communicates clearly with both technical and non technical colleagues Comfortable working independently and leading work within a team Open to feedback and committed to continuous improvement Pragmatic and solution focused, balancing quality with delivery Why join us: Genuine ownership of features across a full stack environment Influence over technical decisions, tooling, and team practices Experience using AI tools at the forefront of professional development practice A clear path to progress into a senior role

LexisNexis Risk Solutions in Southampton is seeking a professional focused on designing and operating secure cloud infrastructure. The role involves close collaboration with engineering and security teams to enhance system performance and operational reliability. Ideal candidates will have strong AWS and security fundamentals, experience with Databricks and Snowflake, and proficient use of Infrastructure as Code tools. Competitive country-specific benefits are included.

Software Developer (Artificial Intelligence) Department: IT Employment Type: Full Time Location: Remote, UK Description Oxford Economics, a leading economic forecasting and consulting firm, is looking for an ambitious, passionate Software Engineer with a strong interest in AI to join our Technology team and help us build, ship and scale the next generation of AI-enabled capabilities at Oxford Economics. This is a hands-on engineering role for someone who writes great software, is genuinely excited by emerging technology, and wants to build tools people actively use. You will work across our Content, Data and Models teams, embedding alongside them to understand their workflows, identify where AI can make a meaningful difference, and develop practical solutions around real business challenges. The role will involve a mix of prototyping, software engineering, integrations, workflow automation, and productionising AI-enabled features across internal and client-facing platforms. This role suits someone who learns fast, enjoys solving problems across different domains, and likes building things that move from idea to production. You will work closely with engineers, economists, product owners, and business stakeholders across the organisation, helping shape how AI is applied across research, consulting, sales, and operational workflows. Key Responsibilities Design, build and ship production software that brings AI capabilities to OE's production teams including agents, retrieval augmented generation (RAG) pipelines, conversational interfaces, internal tools and client facing features. Embed with delivery teams to understand their domain, identify high leverage opportunities for AI, and translate them into working software that genuinely improves how they work. Collaborate with Product Owners to establish business requirements and develop them into tangible deliverables, adapting based on the business needs. Build and operate Model Context Protocol (MCP) servers and other integrations that connect frontier models to OE's data, systems and workflows, including Salesforce, Microsoft 365, Azure and our proprietary economic forecasts and datasets. Take ideas from prototype to production end to end, owning the full software lifecycle: design, code, testing, CI/CD, observability, cost monitoring, evaluation and safe rollout. Apply solid software engineering fundamentals, clean code, testing, modularity, performance, security, to AI enabled systems, where quality and reliability matter just as much as anywhere else. Experiment with new models, frameworks and techniques as they emerge, and form a strong, well evidenced point of view on what is hype and what is worth betting on. Design evaluation harnesses and feedback loops so we can measure whether our features are actually working, and keep improving them as models and data evolve. Help shape OE's internal AI tooling, including Claude skills, internal MCP servers, shared libraries and the wider AI application framework. Embed AI safety, security and responsible use practices into everything you build, including data handling, prompt injection defences, and alignment with ISO 27001 controls and OE's AI Acceptable Use Policy. Contribute to internal AI enablement, share what you learn, run brown bag sessions, write up patterns and help colleagues across OE raise their own AI fluency. Stay close to the frontier: track research, model releases and ecosystem developments, and bring back what matters for OE. Internal Software Engineering / Product Owners IT Operations Business Development / Marketing External Frontier model providers (e.g. Anthropic) Cloud providers AI tooling and SaaS vendors Skills, Knowledge & Expertise Required 2+ years of professional software engineering experience, shipping production code in modern cloud environments. Software engineering fundamentals, clean code, testing, version control, code review, modular design and a feel for when to be pragmatic versus principled. Strong proficiency in C#/TypeScript, with comfort working across the stack from APIs through to lightweight user interfaces. Experience designing, deploying and operating cloud native services on Azure and/or AWS, including CI/CD and infrastructure as code. Demonstrable hands on experience building with large language models, including prompting, function and tool calling, retrieval augmented generation, and agent design. Practical experience integrating with model APIs (e.g. Anthropic, OpenAI, Azure OpenAI), with a clear understanding of cost, latency, context windows and rate limits. Familiarity with vector databases, embeddings and modern retrieval techniques, including semantic search, hybrid search and reranking. Knowledge of LLM evaluation: Understand the differences between LLM testing vs traditional software. Comfort working across multiple teams and domains, quickly building enough understanding of someone else's problem to develop something useful. A strong bias for shipping prototypes, you would rather get something working in front of users than polish it indefinitely. Excellent communication skills, with the ability to explain trade offs clearly to engineers, domain experts and senior stakeholders alike. Genuine intellectual curiosity, a tinkerer's instinct, and authentic excitement about where AI is going. Desired Experience using agentic coding tools such as Codex, GitHub Copilot and/or Claude code to ship production software. Hands on experience with the Model Context Protocol (MCP), tool and function calling, or agent frameworks (e.g. Microsoft Agent Framework, LangChain or custom orchestration). Experience building software that works with content, publishing or knowledge management workflows (e.g. CMS integrations, editorial tooling, document processing). Experience working with data engineering teams or building on top of modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery). Experience deploying AI features into Salesforce, Microsoft 365 or other enterprise SaaS contexts. Exposure to fine tuning, distillation, embeddings training or other model customisation techniques. Background in machine learning, NLP, data science or applied research. Experience with prompt engineering at scale, including prompt versioning and structured prompt management. Familiarity with AI safety and responsible AI frameworks. Domain interest in economics, forecasting, financial services or research led businesses. Open source contributions, side projects, blog posts or other evidence that you build for enjoyment. Degree in Computer Science, Mathematics, Statistics or equivalent practical experience. What Success Looks Like You ship. Working AI enabled software is landing in production regularly and being used by real people across OE's platforms and by our clients. Teams across the business see measurable productivity gains from the tools you build, research drafted faster, data more discoverable, model outputs more accessible, repetitive work automated. You are trusted by developers alike, people across those teams come to you for advice. OE's AI platform, including its MCP servers, skills, shared libraries and evaluation harnesses, is well engineered, observable and easy to extend. You become the go to person across the business for "can we do this with AI?", trusted to give an honest, well informed answer. New ideas reach a usable prototype in days, not months, and the path from prototype to production is short and safe. Colleagues across OE are more confident, capable and ambitious with AI because of how you work alongside them. Oxford Economics' AI capability is visibly ahead of the curve for a firm of our size and sector. Job Benefits Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work: Private Healthcare Employee Assistance Program Enhanced Maternity and Paternity Leave Workplace Nursery Scheme Cycle to Work Scheme Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by the law.

Managing Engineer - Cyber Platform Engineering (Hybrid)Applyremote type: Hybridlocations: Belfast 10 Mays Meadow: Der-Derry/Londonderrytime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 24, 2026 (7 days left to apply)job requisition id: R31412At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team We are hiring multiple Managing Engineers to join our Cyber Platform Engineering organization within Allstate Cyber Operations & Platforms. This posting represents an opportunity to be considered for one of several engineering leadership roles aligned to a shared mission: building secure, scalable, and operationally mature platform capabilities that strengthen cyber operations. While these roles share a common leadership profile and core engineering expectations, each opening is centered on a distinct focus area across agentic AI platforms, tooling and platform integration, or security data and observability. Focus Areas Agentic Cyber Platforms (ACP) : Build platform services, orchestration capabilities, and guardrails that enable secure, reliable, and scalable AI adoption across cyber operations. Tooling & Platform (T&P) : Lead engineering for integrated tooling, shared services, and automation capabilities that improve consistency, interoperability, and workflow efficiency. Security Data & Observability (SD&O) : Engineer telemetry pipelines, observability controls, and data services that support analytics, automation, and AI-enabled decision-making. Key Responsibilities Lead the design, delivery, and operation of production-grade engineering capabilities that support cyber operations at scale. Build reliable, secure, and observable services, tools, platforms, or data pipelines aligned to shared engineering standards. Own service and platform lifecycle expectations, including reliability, operational readiness, observability, and continuous improvement. Partner across product, platform, and engineering stakeholders to shape architecture, integration design, and delivery sequencing. Drive platform maturity through automation, reuse, standardization, and strong operational discipline. Coach and develop engineers while building high-performing teams with strong execution and systems thinking. Essential Skills: All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum of 5 years of experience in software engineering, platform engineering, data engineering, or distributed systems delivery. A minimum of 3 years of experience leading engineering teams or technical delivery in product-based environments. Experience operating production systems, services, tools, or pipelines with strong expectations around reliability, observability, security, and maintainability. Strong understanding of integration patterns, automation, cloud-native engineering practices, and scalable platform design. Experience building reusable services, workflows, platforms, or data capabilities that support multiple teams or operational use cases. Ability to balance technical depth, delivery execution, operational rigor, and people leadership in complex environments. Desirable Skills: Additional depth in AI platforms, security tooling, telemetry engineering, or observability is strongly valued depending on alignment to the specific role. Familiarity with cyber operations, security workflows, or high-sensitivity operating environments is preferred. Supervisory Responsibilities: This role has supervisory responsibilities. Posting date: Wednesday 24th June .59pm Skills Accountability, Collaboration, Continuous Delivery, Continuous Deployment, Planning Ability Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence, a hub for innovation and engineering excellence. We're recent winners of Best Place to Work in IT (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards, and we've been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.We also invest in you. At Allstate NI, your career growth matters. You'll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you're deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive. What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Corporate bonus scheme Pension scheme Annual performance-related pay reviews Life assurance and income protection Flexible working options Hybrid working Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work schemeBe part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.

Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking. Within this mission, our finance team plays a pivotal role in fostering Yapily's expansion while ensuring financial well-being. Renowned for our ability to tackle numerous responsibilities with aplomb while fostering a dynamic and enjoyable team culture, we are now looking for a skilled Management Accountant to join our ranks and contribute to our ongoing success. As a Data Platform Engineer (Infrastructure & Integrations) at Yapily, you will contribute to the architecture, design, and scaling of our modern, next-generation data platform. This is a mid-to-senior level role perfect for an experienced engineer who thrives at the intersection of core data infrastructure and complex FinTech ecosystem integrations. You will own the evolution of our high-performance data pipelines, ledger reporting, and critical business system integrations. This role offers a front-row seat to evolving Yapily's GCP (Google Cloud Platform) and Databricks stack, empowering our engineering and finance teams to transform raw transactional data into highly secure, compliant, and actionable value. Learn more: As a Data Platform Engineer, you will be responsible for: Data Lake & Databricks Architecture: Evaluate and implement optimal modern storage and ingestion tools. Lead the end-to-end implementation and optimization of Databricks Pipelines for our big data processing needs. FinTech Tooling & Integrations: Drive the Proof of Concept (POC) and full implementation of our corporate Transaction Fraud Monitoring Tool, ensuring automated flows across systems. Salesforce & Ecosystem Engineering: Architect and build production-grade, secure connectors from Salesforce to the Transaction Monitoring tool, and lead the integration of our Know Your Business (KYB) tools directly into Salesforce to automate onboarding. Treasury & Finance Automation: Own the technical integration between our corporate Treasury systems and core Finance tools to streamline automated cash positioning and financial reconciliations. Ledger & Activity Reporting: Design and maintain scalable, high-fidelity data pipelines to power Ledger and Activity Reporting within an event-driven architecture. Database & Cloud Operations: Manage high-volume financial data utilizing SQL, NoSQL, and GCP services (such as Pub/Sub, PostgreSQL, BigQuery, and Cloud Storage), ensuring optimal schema design and cost-efficient query performance. Cross-functional Technical Leadership: Partner closely with Finance, Compliance, and Core Engineering teams to translate complex business workflows into robust technical solutions. Platform Quality & Infrastructure as Code (IaC): Maintain rigorous monitoring, logging, and testing frameworks while utilizing tools like Terraform/Terragrunt/Harness to ensure infrastructure flexibility and resilience. What You Bring Essential Skills Core Data Engineering Experience: 3+ years of professional experience building and scaling data platform infrastructure, ideally within an enterprise or fast-growing startup environment. Big Data Ecosystems: Production-grade experience implementing and managing Databricks/BigQuery or Apache Spark environments. Integration & API Expertise: Strong background designing, building, and maintaining custom REST APIs and webhooks. Hands-on experience integrating with major business SaaS platforms (specifically Salesforce) is highly valued. Advanced Languages & Querying: Proficiency in Java/Python (for data automation and scripting) and advanced SQL (for schema optimization and complex financial ledger querying). Cloud Infrastructure: Proven experience working inside a major cloud provider ecosystem, ideally GCP (BigQuery, Pub/Sub, Cloud Storage) or equivalent AWS/Azure components. Problem-Solving & Autonomy: An architectural mindset with the ability to independently evaluate vendor tools, build robust POCs, and own technical roadmaps from conception to deployment. Preferred Skills (Nice to Have) FinTech Domain Knowledge: An active interest or background in Open Banking, high-volume transactional processing and FinTech ecosystems. Compliance Tooling Experience: Previous exposure to financial compliance systems, including Transaction Monitoring, AML, or KYC/KYB workflows. Infrastructure as Code: Experience provisioning data infrastructure using Terraform/Terragrunt. Containerization: Strong knowledge of Docker and managing containerized applications in production kubernetes environments.This list is not exhaustive, and there may be other tasks that we ask you to be involved in from time to time. Above all, you are flexible and want to add value wherever you can. You understand that in a start-up, priorities change and we all need to be adaptable. Not only will you expect to be asked to input and lead in other areas, but you'll be comfortable being a self-starter and instigating changes yourself. For your new role You have proven experience as a Data Platform Engineer or similar role, preferably in a SAAS or technology-driven environment. Excellent interpersonal and communication skills, with the ability to collaborate effectively with colleagues at all levels of the organization. You are focussed on quality and attention to detail. You have strong attention to detail and analytical skills, with the ability to interpret complex financial data and communicate insights effectively. Ability to thrive in a fast-paced, dynamic environment while maintaining a high level of accuracy and professionalism. Strong proficiency in Microsoft Excel. You are a people-focused contributor. You have exceptionally high integrity. You'll treat all interactions with the confidentiality, sensitivity and diplomacy they deserve. You're commercially minded - you understand how effective risk management and regulatory compliance can positively impact our products, services and wider business You think outside of the box and are pragmatic. You will bring in and iterate on the experience, skills and knowledge of best practice that you have seen elsewhere. You are always looking for better and cost effective ways to do things. You are driven and curious. You ask questions and you strive to understand. You understand that your stakeholders will have different strengths. You're happy to learn from them and to share your expertise. You enjoy solving problems. You don't get flustered easily. You're comfortable managing your time and can be counted on to skilfully handle issues. You have a can-do approach. You think on your feet. Switching up tasks and juggling multiple priorities comes naturally to you. 25 days holiday a year (plus bank holidays) in the UK We also offer an additional holiday day after 1 years service, up to the value of 5 days over 5 years We're serious about work/life balance and operate hybrid working, giving you the flexibility to work from home, working from our amazing office space or work abroad for up to 30 days per year 'Nomad Working' We offer enhanced Paternity and Maternity leave Comprehensive Private Medical Insurance through BUPA Mental health support through an award winning provider Company Pension Scheme £200 annual Learning and Personal Development budget Cycle To Work Scheme Employee Referral Scheme which offers £1,000 per employee referral We have a monthly social budget to support getting together over pizza Daily snacks provided in the office Dog friendly office OUR VALUES We obsess about quality Our customers have entrusted us with a critical function in a regulated industry and we take that responsibility seriously. We always assume ownership and hold ourselves accountable. We are curious Our innovation is powered by our collective growth mindset. We're lifelong learners who challenge assumptions, experiment, and iterate. We act with integrity We're guided by our mission and earn and maintain trust by doing what's right, even when it's not easy. We are do-ers We reject indifference and agility is our strength. We're motivated by challenges, and biassed towards action. We problem-solve together We're diverse people in diverse places, and know the best solutions are born out of collaboration. We win, lose, and learn together.

慨正橡扯 is seeking a Data Engineer to design and improve Snowflake-based analytics models. You will develop secure datasets and ensure high performance by leveraging best practices in Snowflake. The ideal candidate will have over 3 years of data engineering experience, including strong SQL and Python skills, and familiarity with cloud platforms like AWS. This role offers flexibility with hybrid work options and includes excellent benefits such as increased maternity/paternity pay and 25 days of annual leave.

AI Engineer Strategy BusinessOptix BusinessOptix is a dynamic business and technology solutions company with proven expertise across multiple industry sectors engaged in the development and support of an application using leading edge and proprietary platforms and tools. BusinessOptix provides powerful digital acceleration and business transformation that helps companies supercharge innovation and optimize their operations. Role Description The AI Engineer will own the AI pipeline layer at BusinessOptix - the systems responsible for orchestrating large language model (LLM) interactions, and executing multi-stage processing workflows. This is a highly autonomous, hands-on engineering role focused on building production grade AI capabilities that deliver real business value. Rather than training machine learning models from scratch, you will design, build, and maintain the infrastructure and workflows that leverage state of the art AI models to solve complex customer problems at scale. Working closely with Product, Front End Engineering, and Customer teams, you will help shape how AI is embedded throughout the BusinessOptix platform and how customers interact with AI powered process intelligence solutions. Responsibilities Design, build, and maintain scalable AI pipelines that orchestrate LLM interactions and process complex data workflows. Develop systems for document ingestion, audio processing, transcription handling, information extraction, process analysis, knowledge structuring and chat. Build asynchronous, multi stage processing pipelines capable of handling large scale workloads reliably and efficiently. Integrate AI generated outputs into BusinessOptix products and customer facing workflows. Configure and customise AI pipelines to meet specific customer requirements and use cases. Prototype, evaluate, and implement new AI capabilities and technologies. Monitor, troubleshoot, and resolve production issues within AI services and processing pipelines. Optimize system performance, reliability, scalability, and cost efficiency across AI workloads. Collaborate closely with Product, Front End Engineering, and Customer Success teams to deliver impactful AI solutions. Contribute to architectural decisions, engineering standards, and best practices for AI enabled systems. In the course of business, other duties will be assigned to this position. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Teams and Persons Primarily Supported The work of AI Engineer primarily supports customer and product teams. Qualifications The following experience and skills are preferred. Strong software engineering experience with a focus on backend systems, APIs, distributed services, or data processing pipelines. Experience building applications that leverage large language models and AI services in production environments. Strong proficiency in Python, Typescript and modern software development practices. Experience designing asynchronous workflows, event driven architectures, or multi stage processing systems. Familiarity with prompt engineering, retrieval augmented generation (RAG), document processing, vector databases, and AI orchestration frameworks. Experience working with cloud platforms and scalable infrastructure. Strong debugging, problem solving, and systems thinking skills. Ability to balance speed of delivery with engineering quality and operational reliability. Excellent communication skills and the ability to collaborate across technical and non technical teams. Manager In most cases, the AI Engineer reports to VP, Strategy. For business reasons, the AI Engineer may report to other leaders at particular times. Work Location BusinessOptix supports a hybrid work environment. Specific work schedules and locations are established by employees and their managers. The company will establish a primary business office for each position and may change that location for any reason. Compensation and Benefits BusinessOptix offers a competitive compensation and benefits program including medical and retirement programs along with paid time off and paid holidays. Equal Opportunity Employer BusinessOptix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

BGBx in the United Kingdom is seeking an Agentic Platform Architect / Systems Administrator to manage the technical environment for AI. This role includes designing and implementing infrastructure for LLM orchestration, ensuring security, and enabling scalability. The ideal candidate will have over 5 years of experience in systems administration and cloud engineering, with a strong grasp of AWS, Azure, or GCP. Candidates passionate about AI and automation are encouraged to apply.

SafeGuard World International Limited (UK) is looking for a Senior Platform Engineer to design and manage secure AWS cloud platforms. This remote/hybrid role involves creating scalable infrastructures, implementing CI/CD pipelines, and leveraging microservices and serverless architectures. Candidates should have strong expertise in AWS, CI/CD, and a relevant technical degree. The position offers a flexible working environment with generous leave, charitable days off, and opportunities for learning and growth.