Trabajos orchestration en Reino Unido

White Collar Factory (95009), United Kingdom, London, London Lead Android Engineer Job Title: Lead Android Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. _ about what it’s like working at Capital One UK. You and the Role Working in and across tech teams is a natural part of our outcome-based culture, so you’ll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. As part of our mobile platform engineering team, you will set the pace for multiple mobile engineering teams and take ownership of the fully native mobile apps that our customers love. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies. • Kotlin and Java, for writing well-factored, well-tested code in both the Android app and backend orchestration services, • Android Toolset, including Android Studio, to leverage the Android platform on a large enterprise scale, • Testing Frameworks, using JUnit, Espresso, and advocating for approaches like Pair Programming, TDD, and BDD, • AWS, utilizing cloud opportunities to maximize inner-sourcing and continuous improvement And meet most of the following: • You are passionate about creating products that produce good customer outcomes, • You enjoy leading a team of technologists, alongside product, design and other disciplines, • You want to design new product iterations, thinking strategically about architectural decisions and can communicate to stakeholders, • You act as a technical evangelist, evaluating technical risks while coaching and mentoring more junior engineers, • You appreciate the sensitivity of our customer data and the resiliency, performance and security that demands, • You enjoy automation (unified deployment pipelines, automated testing) and aspire to ‘automate all but the creative problem solving’, • You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression), • You enjoy hybrid working, with Tuesday, Wednesday and Thursday in our bright offices Where and how you'll work This is a permanent position based in our London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday - Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: • Wealth & Future: Competitive pension and performance-based bonus schemes, • Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days., • Health: Access premium care through our private medical insurance., • Family Support: We champion your milestones with enhanced parental leave., • A full list of our benefits is available here. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Location Our Full Stack Software Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity Cloud spend is no longer just AWS, Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework and the experience built on top of it. This is a chance to define what a great integration experience looks like: a customer connects a new vendor in minutes, sees at a glance that their data is flowing, and handles credential rotation, reconnects and backfills themselves without thinking twice. On the framework side, you'll make adding the next vendor a small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI tooling. We expect you to use it across your whole workflow and to have real opinions about where it earns its place. • Building new integrations. This is the core of the role. Design and ship integrations against third-party billing and usage APIs - authentication, incremental sync, rate limits, error handling, schema drift - and invest in the Integrations Framework itself, along with testing harnesses and scaffolding, so the tenth integration takes a fraction of the effort of the first., • Working AI-augmented. Use AI daily across the full span of your work - exploring unfamiliar codebases and third-party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what agentic tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar., • Integration management experience. Build the interfaces customers use to connect, configure and trust their integrations: health and status visibility, actionable error states, credential and key rotation, and clear feedback when something needs attention., • Self-service by default. Design self-service into the framework from the start - backfills, reconnects and diagnostics that customers and internal teams run themselves., • API-first. Build capabilities so they're fully available through APIs, not just the UI. Both humans and agents should be able to drive the platform., • Implementing features end-to-end. From proposal, through spec and implementation, to maintenance. You're expected to propose things you think would be a good addition, not wait for a spec., • 3+ years of professional software engineering experience, shipping and owning features in production, • Strong TypeScript, including modern frontend work - React preferred, • Hands-on experience with Go, or strong backend experience in another language (Python, Java, Node.js, C#) with genuine enthusiasm for ramping up in Go quickly, • Real experience designing and consuming REST APIs, and integrating third-party APIs with all the mess that entails: auth flows, pagination, rate limits, partial failures, breaking changes, • Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the database through to the interface, • Working proficiency in SQL, • Experience developing solutions in the cloud and/or using cloud services (GCP, AWS or Azure), • A user-facing instinct for operational tooling - you care whether the error message actually tells someone what to do next, • AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, • Strong knowledge of software engineering practices, design patterns and architectural principles, • Demonstrated passion for creating high-quality web/SaaS apps, • Excellent communication skills in English, both written and verbal, • Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious, • Experience building integration platforms or extensibility frameworks as a core part of a product, • Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, AI vendor billing data, marketplace billing, or the FOCUS specification, • Experience with Google BigQuery, or with data pipelines and orchestration tooling (Dagster, Airflow), • Experience building AI-powered product features (LLM integration, intelligent automation), • Exposure to FinOps practices or cloud financial management products, • BA/BS degree or equivalent practical experience Are you a Do'er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our _. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do'ers, One Team DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Description Location: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. Want to build the engineering foundations that help teams across Jagex deliver better software, faster? As an Automation Engineer at Jagex, you’ll design, build, and evolve the automation systems, tools, and workflows that support an open-world experience in Unreal Engine across PC and console platforms. As our Lead Delivery Engineer, you’ll establish and lead a new Delivery Engineering function within our Developer Platform division. Your team will own the shared tooling, automation, standards, and engineering practices that help our game, platform, and product teams build, test, and release high-quality software with greater speed, confidence, and consistency. This is a genuinely greenfield opportunity where you'll grow and lead a multidisciplinary team of Automation Engineers, set its direction and priorities, and work with development leads across multiple products and technology stacks to solve delivery challenges and drive the adoption of modern engineering practices. What you’ll be doing: • Shape and execute the strategy for Delivery Engineering, establishing a clear roadmap that improves developer productivity, software quality, release reliability, and engineering consistency across Jagex., • Build and lead a growing team of Automation Engineers, developing the team’s capabilities across software automation, testing, continuous delivery, release engineering, and developer tooling., • Partner with game, platform, and product engineering teams to understand their delivery challenges, turning their needs into practical solutions that development teams trust, adopt, and benefit from., • Lead the development of reusable platforms, automation, and engineering standards, helping teams improve how they build, test, release, and operate software while retaining appropriate autonomy., • Modernise fragmented tooling and delivery practices across the business, reducing duplication and applying emerging technologies, including AI, where they can demonstrate measurable improvements in engineering productivity., • Define and track engineering effectiveness metrics, using data to demonstrate improvements in developer experience, delivery performance, software quality, and platform adoption. What we’re looking for: • Proven experience leading the design and evolution of automation platforms, engineering frameworks, or developer tooling within a modern software engineering environment., • Strong programming experience in one or more languages, such as C#, Java, Python, Go, or TypeScript, with the technical depth to guide teams in building scalable and maintainable engineering solutions., • Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies., • Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes., • Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks., • Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics, influencing across teams, and delivering measurable improvements in software delivery. What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including: • Private Healthcare, including Dental Plan., • Discretionary annual performance bonus., • Minimum 6% Pension contributions., • Life Insurance., • Enhanced family leave policies from day 1., • Flexible working hours., • 25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more! Inclusion & Accessibility Statement We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability. If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. About Jagex We are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years. As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit _ . Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity. Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.

Description We’re looking for a Staff Software Engineer to help shape and build the shared engineering capabilities that underpin Our Future Health’s data platforms. This is an opportunity to combine hands-on software engineering with Staff level technical leadership, working on large-scale data systems and reusable tooling while helping multiple engineering teams solve complex problems effectively. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.7M volunteers across the UK, we’re now the world’s biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, and pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. Our Data Product squads build and operate the technology that enables us to process and use large volumes of health and research data. As our engineering organisation evolves, we’re looking for a Staff Software Engineer who can help us build scalable, reusable engineering capabilities that can be shared across these teams. Essential Duties and Responsibilities Day to day work will vary depending on what your focus is at that time, but will include things like: • Guiding the technical decisions the team makes alongside the squad’s product manager and engineering manager (EM)., • Represent technology/architecture/engineering in cross-functional project teams throughout a project’s lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them., • Work with the Head of Data Engineering and your peer Staff/Lead Engineers to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement., • Lead decision-making on critical technical strategy and implementations which affect your business area., • Identify opportunities for and then carry out specific pieces of high-impact hands-on work where it makes sense., • Work with partners and suppliers to integrate their systems with Our Future Health’s., • Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high-quality software products., • Participate in live operations support rotations that monitor live systems and quickly and effectively react to potential incidents and provide support to operations teams such as customer support. This could include being part of an out of hours on-call rotation., • Anticipate problems that could occur with pipelines and take action to prevent them. Identify and describe problems when they occur and be able to develop solutions that address them for the short and long term., • Keep abreast of best practice in software engineering across industry, research and Government, and identify opportunities to bring these into Our Future Health. Requirements We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Technical Skills • You have led the architectural design of systems., • Highly proficient in cloud engineering (preferably in Azure; AWS and GCP), • Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies such as Kubernetes, Helm and Docker. Experience with storing, searching and filtering large scale data., • Highly proficient working with Infrastructure as Code (Terraform, Ansible), • Highly proficient in Python. Experience in orchestration tools like Dagster, Prefect and Airflow are advantageous., • Experience with Spark, Databricks, data lakes/lakehouses., • Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity other types of data store (blob, document, graph)., • Highly proficient in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub., • Experience in operationally managing software components/service once live, including: observability best practises, logging best practises, error reporting, debugging and live incident management. Experience using tools such as Grafana, Prometheus, New Relic etc., • Experience of working with sensitive personal data., • Experience working with a health data (genetic data, clinical data, NHS data) is advantegeous. In particular, any knowledge and experience of FHIR and health data models (OMOP, PCORnet, i2b2, CDISC) would be advantageous. Competencies • Experience working in/with cross-functional teams consisting of engineers, product, UX and non-technical stakeholders., • Proven ability to communicate with stakeholders and audiences at different levels., • Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade-offs and make informed decisions around design and technology choices., • Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued., • Strong understanding of software quality principles and practices., • Experience in mentoring and coaching less experienced engineers., • Comfortable in facilitating technical discussions, encouraging collaboration and providing direction. Why join us? You’ll be joining at an interesting point in the evolution of our Data Engineering organisation. We’re looking at how shared tooling and engineering capabilities should work across our Data Product squads, which means there’s an opportunity to influence how we design and build these systems rather than simply inheriting an established model. You’ll work on genuinely challenging engineering problems involving large volumes of sensitive health data, while collaborating with engineers, data specialists and architects across the organisation. The role combines hands-on engineering with Staff level influence, helping teams make good technical decisions, developing other engineers and improving how we build software across the wider area. We’re looking for someone pragmatic, collaborative and comfortable working through ambiguity. You’ll have strong technical opinions, but know when to adapt them; you’ll care about engineering quality without over-engineering solutions; and you’ll be comfortable influencing people without relying on authority. Healthcare experience isn’t essential, but an interest in our mission is. It’s an opportunity to apply your engineering experience to technology that ultimately supports health research at an unprecedented scale. Hiring process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: • Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have., • 1st interview with our Head of Data Engineering (30 min) - this is an opportunity to learn more about each other and align on role expectations., • Technical interview with 2-3 members from our engineering team (60 min). This will include a short task you’ll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role., • Final stage competency interview (60 min) with a small cross-functional panel of your potential new colleagues. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Benefits • Competitive base salary from £105,000 per annum, • Generous Pension Scheme – We invest in your future with employer contributions of up to 12%, • 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you, • Enhanced Parental Leave – Supporting you during life’s biggest moments, • Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice, • Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice, • EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice, • £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!, • Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family, • A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements You may work remotely from anywhere within the UK, with occasional travel to London. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk

About Us \n Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. \n \n At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. \n \n Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. \n \n Job Description \n \n Role Summary: \n Currency cloud, part of Visa, is a technology-driven company specializing in cross-border payments. Our mission is to provide businesses with seamless and secure global payment solutions. As an Infrastructure Engineer, you will play a key role in designing, building, and operating scalable, secure, and resilient cloud infrastructure on AWS. \n This mid-level role is ideal for engineers with proven experience in cloud technologies, automation, DevOps practices, and distributed systems. You will work closely with senior engineers and cross-functional teams to drive improvements, implement best practices, and ensure the reliability of the systems powering our global payment network. \n \n Key Responsibilities: \n AWS Infrastructure Engineering: \n\n • Design, build, and maintain AWS services at scale, including:EC2, EKS, ECR, S3, KMS, VPC, RDS, ElastiCache, OpenSearch, SageMaker, and CloudWatch.\n, • Maintain and optimise network configurations across VPCs, including transit gateways, subnets, routing, and security groups.\n, • Investigate and resolve operational issues, ensuring high availability and performance.\n\n \n Infrastructure Automation & IaC: \n\n • Develop and maintain infrastructure-as-code (IaC) using Terraform, implementing reusable, secure modules.\n, • Drive improvements to automation workflows and configuration management.\n, • Contribute to the creation and lifecycle management of golden AMIs.\n\n \n Containerisation & Orchestration: \n\n • Manage and optimise containerised workloads on Kubernetes (EKS).\n, • Use Helm to package and manage Kubernetes deployments.\n, • Implement and troubleshoot service mesh technologies such as Istio.\n, • Maintain and optimise container image lifecycle including security scanning within automated pipelines.\n\n \n CI/CD & Deployment Automation \n\n • Design, maintain, and optimise CI/CD pipelines with tools such as ArgoCD, Jenkins, and Terraform Cloud.\n, • Automate deployment workflows, testing, and release processes to improve delivery speed and reliability.\n\n \n Monitoring, Observability & Reliability: \n\n • Build and enhance monitoring, logging, and alerting systems using CloudWatch, Datadog, and other observability platforms.\n, • Contribute to SRE-style initiatives to improve system resilience, scalability, and fault tolerance.\n \n\n Security & Compliance \n\n • Implement and enforce cloud security best practices, including identity and access management, encryption, and secrets governance.\n, • Manage key lifecycle and cryptographic operations using AWS KMS.\n, • Participate in vulnerability management processes and remediation work.\n, • Ensure infrastructure compliance with internal and external security standards.\n\n \n Collaboration & Documentation: \n\n • Collaborate with developers, data teams, and platform engineering to ensure infrastructure meets product and compliance needs.\n, • Produce clear technical documentation, runbooks, and architectural diagrams.\n, • Contribute to knowledge sharing and help mentor associate engineers.\n\n \n AI & Automation: \n\n • Use AI coding assistants (e.g. Claude Code, Copilot) for IaC development, script writing, troubleshooting - under team review standards.\n, • Contribute to automation of BAU workflows via AI-driven agents/skills (ticket triage, vuln scanning, upgrade checks, PR review).\n, • Evaluate AI-generated infrastructure changes for security/compliance risk before merge.\n, • Familiarity with prompt-based tooling and MCP (Model Context Protocol) integrations a plus - used for Jira, Confluence, Datadog, GitHub workflows.\n, • Contribute to internal AI tooling: writing/improving automation skills, evals, prompts for team's Claude Code plugin marketplace.\n\n \n Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. \n \n Qualifications \n \n Education & Qualifications: \n\n • Bachelor's degree in computer science, Information Technology, or equivalent practical experience.\n, • Industry certifications in cloud or DevOps are a plus.\n\n \n Required Skills & Experience: \n\n • Professional AWS experience operating production workloads.\n, • Strong hands-on knowledge of core AWS services (EC2, VPC, IAM, RDS, S3, etc.).\n, • Proficiency with Terraform and infrastructure-as-code patterns.\n, • Strong understanding of containerisation (Docker) and orchestration with Kubernetes.\n, • Experience building and maintaining CI/CD pipelines.\n, • Solid scripting experience using Python, Bash, or similar.\n, • Experience with monitoring/observability stacks (CloudWatch, Datadog, OpenTelemetry, etc.).\n, • Good understanding of networking fundamentals (DNS, routing, VPNs, load balancing, firewalls).\n, • Strong version-control discipline using GitHub or similar.\n, • Understanding of DevOps methodologies and cloud operational best practices. \n\n Desirable Skills & Experience: \n\n • Experience with Istio or other service mesh technologies.\n, • Exposure to GitOps workflows and tools such as Port.\n, • Familiarity with automated infrastructure deployment pipelines.\n, • Experience with project management tooling such as Jira.\n, • AWS certifications (Solutions Architect, SysOps, DevOps Engineer).\n, • Exposure to LLM-based dev tools, prompt engineering basics, or building/maintaining AI agent workflows.\n\n \n Personal Attributes: \n\n • Strong analytical and troubleshooting skills.\n, • Proactive and able to work independently while collaborating effectively.\n, • Excellent communication skills.\n, • Strong planning, prioritisation, and organisational abilities.\n, • Comfortable challenging assumptions and contributing to architectural discussions.\n, • Ownership mindset with a drive to deliver high-quality solutions.\n\n \n Visa is an EEO Employer \n Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. \n

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where data engineering is used to stabilise business-critical processes, improve reporting confidence and establish repeatable data foundations across enterprise systems. Bringing strong hands-on experience in data profiling, cleansing, mapping, reconciliation and integration across complex business systems, ideally with exposure to procurement, workforce, finance, ERP or source-to-pay data. You should be comfortable working iteratively with architects, process owners and business stakeholders to identify root causes, support tactical fixes, improve reporting confidence, and help establish repeatable data foundations for future transformation. Working on client data foundation engagements that combine discovery, stabilisation and remediation. Typical work will include understanding process and system landscapes, identifying data and reconciliation issues, supporting tactical fixes, and helping clients define the data architecture, reporting and governance foundations needed for longer-term transformation. • Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems., • Building data catalogues, data flows, interface views and trusted source views, • Design and architect modern data solutions that align with business objectives and technical requirements, supporting current-state and target-state data architecture, • Help clients improve confidence in operational, workforce, procurement and financial reporting through timely, accurate and reconcilable data., • Build highly scalable and performant data solutions leveraging cloud platforms and open-source software, • Develop data models to handle enterprise-level analytical needs, • Optimise large-scale data processing systems for performance and cost-efficiency, • Implement robust data quality frameworks and monitoring solutions, • Evaluate new technologies to enhance our data engineering capabilities, • Collaborate with stakeholders to translate business requirements into technical specifications, • Present technical solutions to leadership and non-technical stakeholders, • Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice, • Enable business leaders to make informed decisions with confidence through timely, accurate data insights, • Establish reusable engineering standards, patterns and documentation that support quality, maintainability and repeatable Data Foundations delivery across future engagements., • Drive adoption of modern data architectures and platforms, • Deliver seamless data solutions that enhance user experience, • Elevate the technical capabilities of the entire data engineering team, • Help cultivate a data-driven culture within the organisation, • Establish technical standards and patterns that ensure quality and maintainability Requirements • Experience working with data from Ariba, Workday, SAP S/4HANA or comparable procurement, workforce, timesheet, finance, supplier invoice or locally maintained spreadsheet sources., • Hands-on experience profiling data quality issues, defining cleansing rules, mapping data between systems, validating reconciliation outputs and documenting exceptions for business review., • Ability to work iteratively with architects, process owners, finance, procurement, workforce and operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes., • Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model., • Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks, • Proven experience leading technical aspects of data projects, • Strong data architecture and modelling skills with the ability to design scalable data solutions, • Deep understanding of data warehouse design principles and methodologies, • Advanced knowledge of optimisation techniques for large-scale data processing, • Strong proficiency in SQL and Python for handling complex data problems, • Hands-on experience with Apache Spark (PySpark or Spark SQL), • Experience with the Azure data stack, • Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow, • Experience with containerisation technologies like Docker, • Proficiency in dimensional modelling techniques, • Experience with CI/CD pipelines for data solutions, • Strong communication skills for translating complex technical concepts, • Experience designing and implementing data mesh or data fabric architectures, • Knowledge of cost optimisation strategies for cloud data platforms, • Experience with data quality frameworks and implementation, • Experience with data visualisation tools like Power BI or Apache Superset, • Experience with other cloud data platforms like AWS, GCP or Oracle, • Experience with modern unified data platforms like Databricks or Microsoft Fabric, • Experience with Kubernetes for container orchestration, • Understanding of streaming technologies (Apache Kafka, event-based architectures), • Experience with high-performance, large-scale data systems UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website _. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect • Autonomy to develop and grow your skills and experience, • Be part of exciting project work that is making a difference in society, • Strong, inspiring and thought-provoking leadership, • A supportive and collaborative environment Development – access to LinkedIn Learning, a management development programme, and training Wellness – 24/7 confidential employee assistance programme Flexible Working – including home working and part time Social – office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off – 25 days of annual leave a year, plus bank holidays, with the option to buy extra days each year Volunteering – 2 paid days per year to volunteer in our local communities or within a charity organisation Pension – Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus – based on company and individual performance Life Assurance – of 4 times base salary Private Medical Insurance – which is non-contributory (spouse and dependants included) Worldwide Travel Insurance – which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel – season ticket loan, cycle to work scheme

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. We're looking for a Senior Data Engineer to join our Data and Insights team. You'll be hands-on every day, writing production code, building and maintaining data pipelines, and shipping features that turn raw data into intelligence our clients can act on. You'll work across the full project lifecycle, from understanding the problem through to delivery, and you'll care as much about code quality and operational reliability as you do about getting things shipped. This is also a technical leadership role. As a senior member of the team, you'll set and lead the technical direction of our Insights platform. This is a visible position within engineering and across the wider business, so you'll explain your thinking clearly, share the reasoning behind it, and bring people with you. You'll do all of this while staying close to the code: it'll suit you if you want to keep building hands-on, rather than move into pure architecture or people management in the near term. Write production code every day, most likely in Python, building and maintaining the data pipelines that power our Insights products. Own the full lifecycle of your projects, from understanding the data domain through to pragmatic design, shipping, and keeping things running reliably in production. Set and lead the technical direction of the Insights platform, and communicate it openly across engineering and the wider business, so product and commercial colleagues understand the choices you are making and why. Help raise engineering standards across the team and improve technical quality through strong engineering practice, including testing, observability, data quality checks, and clean, maintainable code. Make AI your default way of working, and find opportunities to apply it across our products and pipelines where it delivers real value, from research and prototyping through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. Strong software engineering fundamentals: you write well-tested, production-ready Python and care about maintainability, observability, and operational excellence. A track record of building data pipelines and production systems from the ground up, rather than mainly configuring managed services or wiring off-the-shelf tools together. You can describe complex logic you've written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure. It's a bonus if you've shaped these for a team, not only worked within them. A product mindset: you want to understand the business domain and use that understanding to shape what gets built, not only how. You're comfortable pushing back or proposing a different approach when your read of the data and the domain calls for it. Strong communication skills: you can explain and build support for your ideas with peers, managers, and non-technical stakeholders, and you're comfortable holding a visible technical position and bringing people with you. AI as a default part of how you work, with evidence of real efficiency gains and creative use beyond code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform grows to support an MCP. Please note, this role is remote - UK only and we cannot provide sponsorship for this position. Anyone not based in the UK or that requires sponsorship to work in the UK will not be considered at this time.

We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio. We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place. The role We’re looking for a Staff Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift. Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You’ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them. You’ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You’ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship. This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. Requirements 8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra) Comfortable owning code in a distributed monorepo with multiple deployable services Ships fast under product pressure - we’re moving from PMF to scale and the role needs that pace Nice to have Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals. Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically MCP, Anthropic SDK, or other LLM platform work Building developer platforms, internal SDKs, or framework-shaped surfaces Eval-driven development, prompt engineering at scale, LLM-judge harnesses React or another modern frontend framework Our tech stack Frontend React Typescript GraphQL (Apollo Client) Playwright Jest Storybook + Chromatic Mantine GCP (Cloud Run) Backend Typescript PostgreSQL GraphQL Yoga Jest Auth0 GCP (Cloud Run, Cloud SQL, Cloud Storage + more) AI / agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix) - golden queries, LLM-as-judge Memory layer (Neo4j) All the other good stuff GitHub Actions Datadog Figma Slack Linear The opportunity at Ravio right now From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader. Ultimately it’s for you to decide whether that’s true in our two-way street interview process. Here’s a summary of where we are right now and what you can expect as a starting point. There’s a lot happening at Ravio right now. We’ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We’ve got new joiners starting almost every week, and we’re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product. Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we’re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That’s true across the business, we’re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase. Beyond the core product, we’re building Ravio’s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It’s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Staff engineer joining now would help shape the foundations of how Ravio’s product is built for the next phase. We’d like to think Ravio is a great place to be a Staff engineer - we have technical leaders who know first hand the importance of creating space and focus for engineering teams to do their best work. And you’ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues. Why join Ravio? Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar. Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic team. Blend of IC work and leadership, giving you both hands-on impact and career growth. Remote-friendly, flexible work culture with a high degree of ownership. While we’re very focused, we also know how to have fun in the process. Build a meaningful product that helps people get paid fairly and competitively in their careers. £110,000 - £170,000 Company ownership (everyone gets a meaningful equity stake in Ravio) 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays) Up to 6% pension matching scheme £60 a month wellness allowance (Invest in your physical wellbeing, on us) £500 per year Learning and Development budget Private healthcare cover (on a medical history disregarded basis) with AXA Personal worldwide travel insurance - just in case Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability) 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave. For more information about what we collect and how we use it when you apply for a role with us, please refer to our_ #LI-Hybrid #LI-JC1

This is a free training course followed by the potential for a role with one of our clients. Title: DevOps Engineer Job location: Remote, UK (1 day per fortnight in London or Manchester) Description: These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role. WHAT ARE WE LOOKING FOR? • 1.5+ years of experience in a technology-focused role using Python, • Able to pass a technical assessment in Python, Java or Javascript, • Commitment to complete a 16-week, part-time course to develop your mid-level skills KEY RESPONSIBILITIES: • Build & Streamline CI/CD Pipelines: Design, implement, and maintain robust GitOps pipelines using GitLab CI/CD, Helm, and ArgoCD to automate software delivery., • Drive Infrastructure as Code (IaC): Develop and optimise infrastructure using Terraform and related automation tools across hybrid cloud environments., • Modernise & Migrate Workloads: Support the containerisation and migration of legacy batch components into modern Kubernetes and OpenShift environments., • Enhance Platform Reliability & Security: Ensure continuous delivery ecosystems align with AWS best practices for scalability, security, and high availability., • Collaborate Across Engineering Teams: Partner with application and infrastructure teams to streamline version control, manage artifact registries, and eliminate deployment friction. KEY REQUIREMENTS: • Hands-on CI/CD & GitOps Expertise: Practical experience with automated delivery pipelines and modern GitOps tools (e.g., GitLab CI/CD, Helm, ArgoCD, Flux, Jenkins, or Terraform)., • Containerisation & Orchestration Skills: Strong working knowledge of Docker and Kubernetes ecosystems (Red Hat OpenShift experience is a major bonus)., • Automated Scripting & Problem-Solving: Ability to automate repetitive tasks and optimise workflows using languages such as Bash, Python, or Go., • Hybrid & Cloud Platform Knowledge: Hands-on exposure to public, private, or hybrid cloud environments (such as AWS, IBM Cloud, GCP, or Azure)., • Collaborative DevOps Mindset: Proven ability to work constructively at the intersection of development and operations in a team-focused environment. SKILLS YOU'LL DEVELOP • T-Shaped Skill Set: become the go-to person for your technical specialism in addition to building on your collaborative skills to understand and empathise with other tech roles and stakeholders, • Technical Leadership: you'll develop your technical professional skills across mentoring, teamwork, stakeholder communication, and technical decision-making to put you on the pathway to senior individual contributor or technical management roles., • Agility & Automation: taking part in modern software development process, you'll further develop your Agile, DevOps and automation skills, deploying to the cloud., • Innovation & Inclusive products: by building products with DE&I at the core, you will further harness additional techniques in the software development process to foster the development of inclusive products. 100% FREE LEARNING LINKED TO JOB ROLES Just like all of our courses, the Mid-Level Accelerator is 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners. Benefits - vary per client, but are competitive.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers, and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. Our achievements include being recognised as Fintech of the Year for two consecutive years and winning Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors, including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. As the adoption of AI accelerates in financial services, we’re scaling our team to meet growing demand. We're seeking a hands-on Senior AI Software Engineer with strong full-stack experience to build and ship AI-powered products into production, leveraging FinLLM (the UK's first LLM for Financial Services) and other LLMs. You won’t build or train models—instead, you'll engineer the systems, services, interfaces, and integrations that bring those models to life for advisers, analysts, and banking teams. You'll own features end-to-end, covering selection, implementation, deployment, observability, and iteration across backend, frontend, and cloud infrastructure. Build production-ready, AI-powered products integrating LLM capabilities, RAG, and agentic workflows into real-world processes. Select models, orchestrate prompts, design systems, and implement AI tooling (e.g., LangGraph, Langfuse). Design evaluation, monitoring, and observability to ensure reliability and readiness for production. Develop scalable, event-driven microservices and APIs using Node.js and TypeScript. Build modern, responsive React frontends to make AI useful in customer workflows. Architect cloud-native systems on AWS (Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS). Implement microservices, distributed-system principles, and strong operational controls for integration into financial products. Uphold engineering best practices: clean code, automated testing, CI/CD, and operational excellence. Diagnose and improve production behaviours relating to reliability, latency, cost, and AI quality. Mentor engineers, contribute to team growth, and collaborate closely with product and engineering to deliver customer-ready features. Extensive software engineering background, building, deploying, and running production LLM/AI applications. Strong hands-on experience with Node.js, TypeScript, and production React. Experience with prompt engineering, agentic workflows, RAG, and LLM integration. Knowledge of AI evaluation frameworks, monitoring, and observability. Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns. Experience with microservices, messaging patterns, event-driven, and distributed architectures. Commitment to quality, clean code, testing, and operational excellence. Experience with NestJS or similar backend frameworks. Familiarity with LangGraph, Langfuse, or other AI orchestration and observability tools. Knowledge of AI implementation in regulated/high-trust environments, ideally in financial services. Systematic evaluation design for LLM outputs and agentic workflows. Experience delivering agentic systems in production. Effective working in ambiguity and complex problem-solving. Designing robust solutions and making pragmatic technical choices. Clear communication with technical and non-technical stakeholders. Awareness of production AI challenges: reliability, latency, and cost. Technical mentorship, influencing decisions, and raising team standards. Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background). Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) plus your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials: Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution, with optional increases) Private health and dental care Potential share options Enhanced family leave At Aveni, we believe diversity drives innovation. We’re committed to building an inclusive workplace where everyone feels valued and empowered. If you’re passionate about using technology to drive positive change in financial services, we’d love to hear from you. Even if you don’t meet every requirement, please consider applying if you think this role could be a fit. Apply now to help us transform the financial services industry through AI!

Description We're looking for a Senior Data Engineer with deep expertise in healthcare data to join a pioneering team building data products that enable world-leading research. Whether your experience comes from academia, healthcare, biotech, or a fast-growing health-tech startup, you'll bring a strong understanding of healthcare data standards such as OMOP or FHIR, alongside the technical leadership required to be a Senior Engineer. In this role, you'll design and build scalable data pipelines that transform complex health records into trusted, research-ready datasets used by scientists and researchers tackling challenges with global significance. You'll work at the intersection of engineering, data science and epidemiology, helping to establish best practices, shape technical direction and create reusable, high-quality data products that can operate at industrial scale. If you're a senior engineer who enjoys solving complex data challenges, influencing how healthcare data is curated and delivered, and making a meaningful impact on research that improves lives, we'd love to hear from you. Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people’s health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing: • Designing and building scalable data pipelines that ingest healthcare data from multiple providers into trusted research environments and data platforms., • Developing and maintaining data transformation logic in Python to create high-quality, curated and research-ready datasets., • Contributing to complex, shared codebases while following engineering best practices including code reviews, testing and clean coding standards., • Collaborating with data scientists, epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions., • Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls., • Transforming and harmonising healthcare data into common data models such as OMOP and FHIR to support research and analytical use cases., • Creating reusable, scalable and maintainable data products that enable efficient consumption by multiple stakeholders., • Communicating effectively with technical and non-technical stakeholders to translate complex requirements into practical engineering solutions., • Producing clear and comprehensive technical documentation covering data pipelines, transformation logic, architecture and operational processes., • Supporting the design, scoping and implementation of data flows across the wider healthcare data ecosystem., • Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions., • Adopting and promoting data engineering best practices, healthcare data standards and continuous improvement across the team., • Keeping abreast of emerging trends, technologies and standards within healthcare, research and data engineering to drive innovation and excellence. Requirements To succeed in tis role you will need to demonstrate some of the following: • Proven Data Engineering experience within complex, large-scale data environments., • Experience designing, building and maintaining scalable, reliable data pipelines that process large volumes of data from multiple sources., • Experience working with healthcare data across academia, healthcare, life sciences, health technology or related sectors., • Knowledge of healthcare data standards and common data models, including OMOP and/or FHIR., • Experience transforming and remodelling data between different Common Data Models (CDMs)., • Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes., • Experience contributing to shared codebases and developing reusable, maintainable data solutions., • Proficiency in Python and software engineering best practices., • Good command-line and Unix/Linux skills., • Experience working with cloud platforms, ideally Microsoft Azure., • Experience using technologies such as Spark, Databricks and data lake architectures., • Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake., • Experience with containerisation and orchestration technologies, including Docker and Kubernetes., • Experience using Git/GitHub and working within collaborative development environments., • Experience working within Agile delivery teams. Benefits • Competitive base salary from £74,000 per annum, • Generous Pension Scheme – We invest in your future with employer contributions of up to 12%, • 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you, • Enhanced Parental Leave – Supporting you during life’s biggest moments, • Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice, • Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice, • EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice, • £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!, • Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family, • A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements You may work remotely from anywhere within the UK, with occasional travel to London. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk

Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure. Remote based in the UK • Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets., • Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents., • Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions., • Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs., • Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations., • Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops., • Turn what agents learn in production into reliable, reviewed software and automation., • 5+ years of experience building production backend systems, distributed systems, or infrastructure platforms., • Strong systems design skills and experience owning significant systems from design through production., • Depth in at least one of the following:, • AI agent systems, orchestration, tool use, evaluation, or grounding, • Knowledge graphs or graph data modeling, • Search, retrieval, ranking, RAG, or semantic search systems, • Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems., • Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms., • Comfortable working across languages such as Go, TypeScript, Python, or Rust. Experience in the following is a plus: • GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers, • Graph databases, • Event-driven systems and messaging platforms such as NATS or Kafka, • Observability platforms such as Prometheus and Grafana, • Building evaluation frameworks or improving the quality and reliability of LLM-powered systems Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at_

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote Ema is building the world’s first Universal AI Employee — a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema’s customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive. Support is production reliability, trust preservation, and system learning. At Ema, Senior Technical Support Specialists are operators of live AI systems, not ticket handlers. The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema’s deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: ❌ Not L1 / call-center support, ❌ Not a “just escalate to engineering” role, ❌ Not reactive firefighting only This is: A senior technical escalation role, A production debugging and RCA role, A partner to Engineering, Product, and Implementation, A role with real authority during incidents You are the last line of defense between a production issue and customer trust erosion You prevent small failures from turning into account-level crises You ensure learnings from incidents improve the product and delivery systemically Customers trust Ema because issues are handled competently and transparently AI failures are explained, mitigated, and prevented — not hand-waved Production stability improves over time, not degrades You gain rare experience operating agentic AI systems in production You build deep expertise across AI, integrations, and workflows You can grow into Reliability Engineering, Implementation Leadership, or Product-facing roles Diagnosing failures in multi-agent AI workflows Deeply understanding Ema’s platform and providing workarounds/alternate approaches to customers facing issues Debugging issues spanning: AI behavior (false positives / negatives) Workflow logic Integrations (HRIS, ITSM, IAM, Finance) Data quality Platform configuration Handling Sev-1 / Sev-2 customer specific incidents calmly under customer pressure Help Engineering & Product teams Prevent repeated incidents through disciplined RCA Converting noisy customer complaints into high-signal engineering feedback Own customer-reported issues from intake to resolution adhering strictly to SLAs Take responsibility for diagnosis, coordination, and closure; Importantly, provide workarounds to customers to unblock them while engineering fix is made Ensure no issue is “lost” between teams Act as technical owner even when multiple teams are involved Debug agentic workflows end-to-end Trace failures across agents, tools, integrations, and humans-in-the-loop Identify whether issues are caused by: Model behavior Prompt / policy logic Workflow orchestration Integration constraints Customer configuration Provide clear, actionable root cause summaries Resolve Sev 1 / Sev 2 Client issues; Escalate to the right team to help solve and close the issue. Keep customer communication calm, factual, and confidence-building Communicate during incidents without speculation or panic Explain AI failures in a way customers can understand Set realistic recovery timelines Rebuild trust post-incident through transparency and follow-through Write high-signal bug reports and incident summaries Advocate for fixes based on customer impact, not noise Help Product understand real production behavior Ensure support insights influence roadmap and quality improvement Improve runbooks, playbooks, and diagnostics Improve on-call hygiene and escalation clarity Mentor junior support engineers Raise the overall support bar at Ema Excellent debugging instincts Comfortable operating in ambiguous systems Able to isolate root cause across layers Issues do not bounce — they get owned Calm during incidents Bias toward permanent fixes Knows when to escalate and when not to Can say “we don’t know yet” credibly Communicates clearly with both engineers and customers Low ego, high accountability Truth-seeking over blame Respects both customer urgency and engineering quality 6–9+ years in senior technical support, reliability, or production engineering roles Experience supporting enterprise SaaS platforms in production Strong understanding of: APIs and integrations Distributed systems Logs, traces, and diagnostics Experience handling escalations and incidents Customer-facing experience with senior stakeholders Support or reliability roles in AI / automation platforms Experience with workflow orchestration or agentic systems Familiarity with AWS / GCP / Azure Background in high-availability, 24×7 systems Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Senior Software Engineer – Java (Contractor) Contractor Start Date: ASAP Fully remote within Hungary As a Senior Software Engineer (Java) – Contractor at Beyond Sports, you’ll be focused on delivering robust, high-performance backend services and APIs that power digital experiences for millions of sports fans globally. This role is ideal for an experienced, hands-on engineer with strong Java and Spring expertise who thrives in a collaborative and fast-paced delivery environment. You’ll work closely with cross-functional teams to build, integrate, and optimize systems that handle real-time sports data, video, and live commentary. This position is project- and delivery-focused, with no line management or people-leadership responsibilities required. Key Responsibilities: Design and develop scalable backend systems using Java and Spring Boot Deliver well-structured, maintainable, and testable code aligned with project requirements Build and maintain RESTful APIs to support web and mobile applications Integrate with third-party data providers (e.g. sports data, video, commentary) Use Git to manage code versioning and contribute to shared repositories Manage deployments across multiple environments (Dev, Test, Staging, Prod) Ensure systems are performant, secure, and resilient Identify and manage project-level technical dependencies Participate in sprint planning and delivery-focused meetings with the wider team Write and maintain clear technical documentation Contribute to code reviews and uphold development best practices Core Skills & Experience: Expert-level knowledge of: Java 11+ Spring Boot and Spring Framework (v5+) JPA/Hibernate and ORM principles Designing and building microservice architectures Creating and consuming RESTful APIs Git for version control and collaborative development JSON and working with structured data Unit testing with frameworks like JUnit Task management tools like JIRA Writing technical documentation for APIs and backend components Proficient with: SQL (PostgreSQL, MySQL, or similar) Kafka or other messaging/event-driven platforms Docker containerization Kubernetes for orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency management CI/CD pipelines and deployment automation Basic understanding of: Python (scripts, tools, integrations) Frontend technologies: HTML, CSS, JavaScript (for context when integrating with frontend)

Job Title:Salesforce Commerce Cloud Developer (Retail) Location:Nottingham (2 - 4 days on site per month) Salary/Rate:£400 - 448 Inside IR35 Start Date:End of May Job Type:Initial 6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Salesforce Commerce Cloud developer to join their digital commerce team for a six-month contract. Job Responsibilities/Objectives The ideal candidate will have hands-on experience in building scalable, headless eCommerce solutions using SFCC and PWA Kit. You will work closely with architects, business analysts, and cross-functional teams to deliver high-performance storefronts and integrations for enterprise retail platforms. • Develop and customize Salesforce Commerce Cloud (SFCC) solutions, including PWA-based storefronts., • Implement headless architecture leveraging SFCC APIs and PWA Kit., • Collaborate with architects to translate High-Level Designs (HLDs) and Low-Level Designs (LLDs) into functional components., • Build and optimize key modules such as checkout, search, personalization, and API orchestration., • Integrate SFCC with external enterprise systems like PIM, OMS, SAP CRM, and CDNs for real-time data synchronization., • Configure and optimize Algolia search, including indexing strategies and fallback mechanisms., • Ensure compliance with performance, security, and scalability standards., • Support incident resolution, performance tuning, and stability improvements during staging, go-live, and hypercare phases., • Work with MuleSoft or similar tools for API integration and orchestration., • Follow best practices for code modularization, deployment pipelines, and solution governance. Required Skills/Experience The ideal candidate will have the following: • Strong experience in Salesforce Commerce Cloud (SFCC) development., • Hands-on experience with PWA Kit and headless commerce implementations., • Proficiency in JavaScript, Node.js, and front-end frameworks (React preferred)., • Knowledge of API integration and orchestration using MuleSoft or similar tools., • Experience with Algolia search configuration and optimization., • Familiarity with integrating enterprise systems (PIM, OMS, SAP CRM)., • Understanding of CI/CD pipelines, performance tuning, and cloud deployment., • Excellent problem-solving and communication skills. Preferred Qualifications Although not essential, the following skills are desired by the client: • Experience in large-scale retail or eCommerce platform migrations., • Knowledge of SFCC Business Manager and cartridge development., • Exposure to multi-region deployments and CDN strategies., • Certification in Salesforce Commerce Cloud or related technologies. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Please note this role is UK only. We are KOPE and we are dedicated to revolutionising how we design and construct the build environment KOPE is the only purpose-built software platform for offsite construction. We enable the transition from traditional construction by integrating offsite processes and products. We instantly apply real-world products directly to design models, allowing the worlds of design and manufacturing to come together as one. We are building a better future. Join us. The Role We are seeking a highly skilled DevOps Engineer to design, build, and maintain secure, scalable, and resilient cloud infrastructure. This role combines operational efficiency with a strong security mindset, ensuring that our platforms are reliable, compliant, and continuously improving. You will play a key role in shaping our cloud strategy, enhancing our CI/CD capabilities, and embedding security best practices throughout the development lifecycle. Responsibilities • Design, implement, and manage scalable and highly available cloud infrastructure in Microsoft Azure, • Build and maintain disaster recovery (DR) and failover strategies to ensure business continuity, • Develop and maintain Infrastructure as Code using Pulumi (existing knowledge of Terraform or similar also acceptable), • Ensure infrastructure is version-controlled, reusable, and aligned with best practices, • Maintain and enhance existing pipelines in Azure DevOps, • Design and implement modern CI/CD workflows to improve build, test, and deployment processes, • Evaluate and lead potential migration to more mature or scalable tooling platforms, • Integrate security practices into all stages of the development and deployment lifecycle, • Manage and optimise vulnerability scanning tools and processes, • Analyse and prioritise security findings, working with teams to remediate risks, • Act as the primary liaison for external penetration testing providers and internal stakeholders, • Ensure compliance with security standards and organisational policies, • Strong experience with Microsoft Azure cloud services and architecture, • Proven experience with Infrastructure as Code (preferably Pulumi, ideally with C#), • Hands-on experience with CI/CD tools (Azure DevOps and at least one other, E.G Jenkins, Teamcity, Github actions, Octopus Deploy etc), • Solid understanding of cloud security principles and DevSecOps practices, • Experience with vulnerability management tools and processes, • Familiarity with disaster recovery planning and implementation Desirable Skills • Experience migrating CI/CD platforms or modernising build systems, • Knowledge of containerisation and orchestration (e.g., Docker, Kubernetes), • Familiarity with monitoring and observability tools, • Understanding of compliance frameworks (e.g., ISO 27001, SOC 2), • Experience and understanding of the changing nature of AI involvement in this area and how to employ it, • Remote first, • Flexible working style, • Relaxed and fun culture, • Greenfield development with no legacy apps, • Autonomy & responsibility encouraged, • Generous holiday allowance - 23 days paid holiday plus public and bank holidays, • Aviva Health Insurance, • Winter leave – the office closes between Christmas eve and 1st January (inclusive) this is in addition to your personal annual leave, • All-company in person events, • Generous maternity, paternity and parental leave policy

Practice Group / Department: \n Legal Innovation, Design & Technology - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n Role Purpose \n We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. \n The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. \n This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. \n This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. \n You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. \n Key Responsibilities \n\n • \n Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. \n\n\n • \n Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. \n\n\n • \n Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. \n\n\n • \n Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. \n\n\n • \n Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. \n\n\n • \n Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. \n\n\n • \n Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. \n\n\n • \n Build clear APIs and integrate AI products with approved data, document, search and business systems. \n\n\n • \n Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. \n\n\n • \n Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. \n\n\n • \n Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed \n\n Initial Focus \n\n • \n End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. \n\n\n • \n A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. \n\n\n • \n Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. \n\n\n • \n Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. \n\n What Success Looks Like \n\n • \n R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. \n\n AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili

DEVOPS ENGINEER TRAINEESHIP \n \n Become a DevOps Engineer and Build Real-World Experience \n Are you interested in cloud computing, software development, automation, and building reliable technology platforms? Do you want to gain practical experience while developing technical skills that are in high demand across the technology industry? \n We are offering a DevOps Engineer Traineeship designed to help aspiring DevOps professionals develop industry-relevant knowledge through structured learning and practical projects. \n What You Will Learn \n Throughout the traineeship, you will develop an understanding of: \n\n • \n DevOps Fundamentals \n • \n Linux System Administration \n • \n Command Line and Shell Scripting \n • \n Version Control with Git \n • \n Software Development Lifecycle (SDLC) \n • \n Continuous Integration (CI) \n • \n Continuous Delivery and Continuous Deployment (CD) \n • \n Infrastructure as Code (IaC) \n • \n Containerisation with Docker \n • \n Container Orchestration \n • \n Cloud Computing Fundamentals \n • \n Cloud Platforms (AWS, Microsoft Azure and Google Cloud) \n • \n Configuration Management \n • \n Monitoring and Logging \n • \n Security Best Practices (DevSecOps) \n • \n Networking Fundamentals \n • \n Automation and Scripting \n • \n Incident Management and Reliability Engineering \n\n Practical Experience \n You will work on realistic DevOps projects that may include: \n\n • \n Building CI/CD pipelines \n • \n Deploying applications to cloud environments \n • \n Creating Infrastructure as Code templates \n • \n Managing Docker containers \n • \n Automating software deployment processes \n • \n Configuring monitoring and logging solutions \n • \n Implementing basic cloud infrastructure \n • \n Applying security best practices to deployment pipelines \n • \n Troubleshooting deployment and infrastructure issues \n • \n Portfolio projects demonstrating your DevOps capabilities \n\n This practical experience will help you develop a professional portfolio that demonstrates your capabilities to future employers. \n Ideal Candidate \n We are looking for individuals who: \n\n • \n Have an interest in technology, software development, and cloud computing \n • \n Enjoy solving technical problems \n • \n Have strong analytical and logical thinking skills \n • \n Pay close attention to detail \n • \n Are willing to learn new skills \n • \n Can work independently and manage their time effectively \n • \n Have basic computer skills \n\n No previous DevOps experience is required. Successful applicants will undertake our paid DevOps Engineer training programme before progressing into employment. The cost of the training is the responsibility of the learner, and full guidance and support will be provided throughout the programme. \n Benefits \n\n • \n Remote and flexible learning \n • \n Industry-relevant curriculum \n • \n Portfolio development opportunities \n • \n Practical project experience \n • \n Mentoring and personalised feedback \n • \n Career guidance and employability support \n • \n Opportunity to develop skills sought by modern employers \n\n Entry Requirements \n\n • \n A good level of written English \n • \n Access to a computer and internet connection \n • \n Motivation to learn and develop professionally \n\n Career Opportunities \n Upon successful completion, learners may pursue roles such as: \n\n • \n Junior DevOps Engineer \n • \n DevOps Engineer \n • \n Cloud Support Engineer \n • \n Platform Engineer \n • \n Infrastructure Engineer \n • \n Site Reliability Engineer (SRE) \n • \n Build and Release Engineer \n • \n Cloud Operations Engineer \n • \n Systems Administrator \n • \n Cloud Infrastructure Engineer \n\n Apply Today \n If you are looking to start a career in DevOps and want to gain practical experience while developing a professional portfolio, we would love to hear from you. \n Submit your application today and begin your journey towards a rewarding career in DevOps Engineering. \n We advertise this role across multiple UK locations — you only need to apply once and you'll be considered for all of them.

Description Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design • Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome)., • Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions., • Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering • Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering., • Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration • Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries., • System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory • Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center., • Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths., • Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements • Experience: 5+ years of hands-on Salesforce engineering and architecture experience., • Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations., • Location: Based in Europe with strong alignment with European enterprise hours., • Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines., • AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications • Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications., • Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP., • Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The Global Alliance Manager for Hyperscalers & GSIs exists to architect, commercialize, and scale Sonatype’s most high-leverage strategic partnerships worldwide. Positioned at the critical intersection of elite cloud ecosystems (including Amazon Web Services and Microsoft Azure) and tier-1 Global System Integrators (such as Deloitte, Capgemini, Infosys, and Cognizant), this role is the primary engine for driving partner-vetted pipeline expansion and programmatic co-sell acceleration. Operating at the Senior/Lead level, you do not manage passive referral lists; you build unassailable commercial frameworks that embed Sonatype's AI-driven DevSecOps intelligence natively into large-scale cloud modernization and digital transformation practices. This high-velocity role is engineered for a highly motivated, independent team player with deep business acumen and a proven track record of shifting seamlessly between program development and field execution. Based on the US East Coast and/or EMEA with a global coverage footprint, you will serve as the connective tissue between individual contributors, senior sales executives, and external channel leadership. You must be comfortable wearing multiple hats simultaneously operating as a program manager, business analyst, and business development manager to design joint sales initiatives, build deep technical relationships, and systematically map target accounts. Ultimately, this individual holds absolute accountability for achieving and exceeding quarterly and annual revenue objectives by unlocking new enterprise logos and maximizing cloud-spend monetization. Programmatic Co-Sell Acceleration: Establishing repeatable, high-velocity co-selling mechanics natively within the AWS ISV Accelerate framework and Azure partner ecosystems, ensuring Sonatype is attached directly to enterprise cloud-migration blueprints. Marketplace Transaction Optimization: Driving a measurable reduction in customer procurement cycle times by seamlessly structuring and executing Channel Partner Private Offers (CPPOs) to burn down existing enterprise cloud-spend commitments (e.g., AWS EDP, Microsoft MACC). Strategic Practice Integration: Successfully positioning Sonatype’s platform—including our SBOM Manager and Repository Firewall—as the default secure SDLC reference architecture within the DevSecOps and AppSec consulting practices of tier-1 GSIs. Revenue Target Domination: Consistently achieving and exceeding assigned global quarterly and annual revenue objectives through highly structured, high-yield co-selling motions. Ecosystem Capability Elevation: Developing internal and partner ecosystem training playbooks that build real-world capability, ensuring partners can independently demonstrate product value and protect the customer lifecycle. Field Alignment Synergy: Synchronizing sales cycles so that field teams across North America and EMEA experience frictionless co-selling, utilizing joint account-mapping cadences to systematically unlock new enterprise logos. Partner-originated and partner-influenced pipeline metrics meet or exceed assigned segment targets quarterly. Cloud marketplace gross transaction volume (GMV) scales continuously, making Sonatype the preferred mechanism for enterprises securing cloud-native environments. Joint value propositions and technical alliance frameworks are maintained with absolute precision, clearly differentiating Sonatype against legacy SCA market alternatives. Account mapping initiatives bridge the gap cleanly between the sales field and partner target accounts, driving targeted alignment with Sonatype sales CapDB A/B focus accounts. Alliance Architecture Strategy: Design and execute the global co-sell and commercialization roadmap for designated cloud marketplace and system integrator ecosystems. Planning & Business Review Governance: Lead and execute an annual and quarterly business planning process using a strategic planning model to identify key go-to-market strategies and clear revenue metrics. Pipeline Forecasting Rigor: Provide regular, high-integrity weekly forecasts of partner sales within your designated region, maintaining a real-time, updated view of partner pipelines, deal flow, and historical metrics. Commercial Framework Engineering: Structure, negotiate, and execute complex Cloud Partner Private Offers (CPPOs) and multi-party enterprise transaction models to close new accounts and expand existing partner revenues. Ecosystem Program Creation: Design and lead joint programs with Sonatype partners to generate net-new business in existing enterprise footprints and break into untapped vertical markets. Platform Enablement & Certification Strategy: Build, maintain, and scale the partner sales enablement framework, utilizing internal tools (e.g., Lessonly/SmarterU) to track partner certification progress, tier achievements, and training status. Product Launch Synchronization: Collaborate with Global teams to ensure all upcoming and newly launched products have appropriate partner-facing go-to-market enablement tools, communications, and marketing collaterals. Partner Assessment and Recruitment: Conduct continuous recruitment, validation, and performance assessment of partners against defined tier requirements and regional corporate growth objectives. Cross-Functional Collaboration Loops: Partner closely with Sales, Marketing, Product, Solution Engineering, and Customer Success teams to orchestrate successful cross-functional joint campaigns, webinars, quarterly webinars, and the annual Partner Summit and Awards. Cloud Marketplace & Channel Fluency: 5+ years of demonstrated success in B2B tech channel sales, software solution management, or working with Value-Added Resellers (VARs) and tier-1 partners, with an unassailable track history of exceeding quotas. Strategic Enterprise Vision: Ability to build an operational partner architecture that anticipates global business challenges 12-24 months out, applying critical thinking and sound business judgment to measure and handle the business. Multi-Persona Communication Mastery: Outstanding written, verbal, and interpersonal communication skills; highly effective at securing meetings and closing business with senior-level channel executives, while maintaining strong collaborative links with internal individual contributors. Demand Generation & Program Orchestration: Proven experience planning and managing a systematic approach to demand generation, co-marketing initiatives, and joint pipeline development loops with partners. Dynamic Role Agility: Demonstrated capacity to seamlessly pivot roles at any given time—wearing the hat of a program manager, technical business analyst, or business development lead depending on deal or ecosystem complexity. Proactive & Innovative Sourcing Logic: A proactive, creative, and innovative mindset that consistently generates net-new ideas to support and drive divisional pipeline priorities through sales programs and strategic alliances. High-Velocity Execution Mindset: High energy, enthusiasm, and independent work ethic, with the structural maturity to work cross-functionally and garner immediate support from multiple internal and external stakeholders. Things that we are proud of 2025 AI Compliance Solution of the Year - AI Breakthrough Awards 2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report) 2023 Fast Company Best Places for Innovators 2023 Gartner's Magic Quadrant 2023 Software Report's Top 100 Software Companies 2023 BuiltIn Best Places to Work 2022 Frost & Sullivan Technology Innovation Leader Award 2022 PeerSpot Silver Peer Award in Software Composition Analysis 2022 Tech Ascension Best DevOps Security Solution Award 2022 NVCT Cyber Company of the Year Company Wellness Week - We shut down company operations for a week to enable all employees to pursue personal growth and enjoy a much-needed and deserved rest. Paid Volunteer Time Off (VTO) At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location Our Data Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity Cloud spend is no longer just AWS, Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework is what turns that into a single, trustworthy picture of cost. We're hiring a Data Engineer to own the data side of this. Your mandate is expanding visibility - bringing more of a customer's spend into the platform, from more vendors, at a quality bar people can make financial decisions on. The vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about where it earns its place. • Expanding vendor coverage. This is the core of the role. Build new integrations against third-party billing and usage APIs, and get more of our customers' spend visible in the platform. Keep existing integrations current as vendors change their APIs and pricing models - which they do constantly. Drive down the marginal cost of the next integration so coverage scales faster., • Working AI-augmented. Use AI daily across the full span of your work - exploring unfamiliar codebases and third-party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what the tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar., • Data correctness and completeness. Own the quality of the data our integrations produce: duplication, gaps, and race conditions in ingestion and reprocessing, deduplication of spend that also arrives via cloud marketplaces, and support for customers' negotiated rates rather than public list pricing. Build the checks and reconciliation that let us prove the numbers are right rather than hope they are., • Normalization across vendors. Design and build the models that make dozens of differently-shaped vendor bills comparable - consistent units, currencies, time granularity, resource and service taxonomies, and cost categories., • Pipeline ownership. Own the orchestration, scheduling, and backfill mechanics for ingestion pipelines end-to-end - including making backfills a routine, safe, self-service operation., • Collaborating and problem-solving. Work with product, support, and the engineers building on top of this data to understand where the gaps hurt. Propose work you think should happen; you're not here to wait for a spec., • 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on, • Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries, • Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired; equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow, • Strong Python, or another language you use fluently for data work, • Experience with a cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake, Redshift or similar), • Experience integrating third-party REST APIs, including handling the realities: pagination, rate limits, partial failures, late-arriving and restated data, and vendors whose documentation is wrong, • A real instinct for data correctness. You are the kind of engineer who reconciles totals, questions a number that looks plausible, and builds the assertion rather than assuming, • AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, • Experience developing solutions in the cloud and/or using cloud services, • Excellent communication skills in English, both written and verbal, • Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious, • Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, marketplace billing, or the FOCUS specification, • Familiarity with Go, which we use across our backend services, • Experience with systems that carry financial or audit-grade correctness requirements - invoicing, metering, revenue reconciliation, or billing engines, • Exposure to FinOps practices or cloud financial management products, • BA/BS degree or equivalent practical experience Are you a Do'er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our _. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do'ers, One Team DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

At Air Apps, we believe in thinking bigger - and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018 - and now with offices in both Lisbon and San Francisco - we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management - and change lives along the way. As a DevOps Engineer – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes. Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP). Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Deploy and manage containerized applications using Docker and Kubernetes. Monitor system performance, identify bottlenecks, and improve infrastructure reliability. Establish and enforce security best practices, including identity management, logging, and vulnerability management. Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues. Optimize cloud resource utilization to ensure cost-effectiveness and scalability. Automate infrastructure provisioning, configuration management, and system maintenance. Stay up-to-date with emerging DevOps technologies, tools, and best practices. Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering. Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). Experience with cloud services (AWS, Azure, or GCP) and serverless computing. Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong knowledge of Linux-based systems, networking, and security best practices. Scripting skills in Bash, Python, or Go for automation. Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog). Understanding of cloud cost optimization, scalability, and high-availability architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

\n AWS Engineering Lead \n Remote-first | London office 1 day per month | £90,000-£100,000 base + 15%+ pension \n Lead the infrastructure and operations that power engineering at scale for this leader in the fintech space. \n You'll shape our AWS platform, architecture, security, reliability and developer tooling while leading and mentoring a team of 5-7 engineers. You'll set engineering standards, champion best practice and help embed "you build it, you run it" across the organisation. \n Key responsibilities \n\n • Define infrastructure, DevOps and operational strategy.\n, • Lead AWS architecture, reliability, security and FinOps.\n, • Set standards for Terraform, OpenTofu and Infrastructure as Code.\n, • Own GitHub orchestration, CI/CD and release practices.\n, • Improve observability, incident management and operational readiness.\n, • Select the right tools and methods for sustainable engineering.\n, • Mentor engineers and drive continuous improvement.\n, • Partner with engineering, security and business stakeholders.\n\n What you'll bring \n\n • Leadership experience in Operations, SRE, DevSecOps, Cloud or Platform Engineering.\n, • Strong AWS, CI/CD, security and production operations experience.\n, • Expertise in Terraform or OpenTofu.\n, • Knowledge of GitHub Actions, Docker, observability and monorepo tooling.\n, • A pragmatic approach to architecture, standards and technology selection.\n, • A passion for mentoring teams and building reliable, secure platforms.\n\n Please Apply Now.

\n Our Leading Banking client are looking for a talented and motivated individual to join their expanding AI & Innovation team within Architecture & Engineering at a key stage in their AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions across the region. \n They are seeking a hands-on AI Solutions Architect to take end-to-end ownership of AI solution design, from initial use case intake through to architecture, governance approval and delivery. The role is focused on turning high-value business use cases into secure, scalable and production-ready solutions aligned to the organisations' enterprise technology stack. \n The following skills/experience is essential: \n\n • Strong understanding of AI and generative AI solution architectures, including large language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration.\n, • Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns.\n, • Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations.\n, • Proven experience designing and delivering complex technology solutions in a regulated enterprise environment, with ownership from initial requirements through to production deployment.\n, • Strong hands-on experience in solution architecture, with the ability to translate business requirements into end-to-end, implementable designs.\n, • Excellent communication skills across all levels.\n\n Salary: Up to £140,000 + bonus + package \n Location: London (good work from home options available) \n If you are interested in this AI Solutions Architect position and meet the above requirements please apply immediately.

\n Senior DevOps Engineer \n Active MoD/UKSV DV Mandatory \n £750/day Inside IR-35 initially until the end of April 2027 \n Central London - 3 days/week \n We are supporting a major programme within the UK Defence sector and are seeking a Senior DevOps Engineer to play a key role in the design, build and operation of secure, cloud-native platforms on AWS. \n Working within a highly skilled engineering environment, you will help drive DevOps best practice, automate infrastructure and deployment pipelines, and support the delivery of critical services in a complex and security-conscious setting. This is an opportunity for an experienced engineer who can combine strong technical capability with leadership, mentoring and stakeholder engagement skills. \n Key Responsibilities \n\n • Design, build and maintain scalable AWS cloud infrastructure.\n, • Develop and enhance Infrastructure as Code solutions using Terraform.\n, • Build, optimise and maintain CI/CD pipelines to support rapid and reliable delivery.\n, • Champion DevOps culture, automation and engineering best practice across delivery teams.\n, • Improve platform resilience, observability, security and operational performance.\n, • Work closely with software engineers, architects and senior stakeholders to deliver platform capabilities.\n, • Support containerised workloads and cloud-native deployments.\n, • Lead technical discussions, provide guidance to engineers and contribute to strategic decisions around platform engineering.\n\n Required Skills & Experience \n\n • Extensive hands-on DevOps or Platform Engineering experience within complex enterprise or government environments.\n, • Strong AWS expertise across core services, networking, security and platform design.\n, • Proven experience with Terraform and Infrastructure as Code methodologies.\n, • Strong CI/CD experience using tools such as Jenkins, GitLab CI, GitHub Actions or similar.\n, • Containerisation and orchestration experience, including Kubernetes and Docker.\n, • Strong Scripting and automation skills using Python, Bash or similar.\n, • Experience implementing monitoring, logging and observability solutions.\n, • Excellent communication skills with the ability to engage technical and non-technical stakeholders.\n, • Experience operating in secure or regulated environments.\n\n Desirable Experience \n\n • Previous Defence, MoD or National Security project experience.\n, • Experience with AWS EKS and modern platform engineering practices.\n, • Knowledge of DevSecOps principles and cloud security controls.\n, • Familiarity with Agile delivery environments.\n, • AWS certifications.\n\n Reasonable Adjustments: \n Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. \n If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

\n DevOps Engineer - GCP - Java Developer - Automation and TypeScript \n Financial Services Experience Required! \n Working for a Tier 1 Investment Bank in London - would this be of interest? \n Project description \n You will be joining the Engineering Platforms and Practice group as a Technical Team Lead. You will drive the vision, strategy, and execution of our secure pipelines and control automation stack (Java/TypeScript/GitHub Actions/Cloud). You will lead a high-performing team of engineers, setting technical direction and fostering a culture of innovation, collaboration, and continuous improvement. Your leadership will be pivotal in delivering frictionless, secure, and scalable software delivery solutions used across the entire organization. You will champion best practices in DevOps, automation, and compliance, ensuring our technology stack remains at the forefront of industry standards. This is a rare opportunity to help shape the future technology and culture of our firm. \n Responsibilities \n\n • Building secure and reusable CI/CD components to provide provenance and governance around our SDLC practice, ensuring high quality compliance\n, • Integrate with existing developer tooling to gather information and automate\n, • Ensuring the highest standards in security and supply chain integrity in-line with NIST, SLSA and other standards\n, • Direct customer engagement to gather requirements and understand the disparate ways teams build software today\n, • Developing supporting materials (software, training materials, workshops) to facilitate adoption\n, • Continuously measure the success of our solutions via a data driven approach, feedback and continuous improvement\n\n Skills \n Must have: \n\n • Proven experience as a technical team lead or senior engineer in DevOps, automation, and software development\n, • Experienced full stack developer (Java/JVM/TypeScript), likely 5+ years in industry\n, • Extensive DevOps experience including CI/CD, SLI/SLOs, error budgets et al\n, • Extensive automation experience including GitHub Actions, TFE, Scripting such as Ansible or similar\n, • Experience of varied orchestration technologies such as TeamCity, Jenkins and Cloud ready tools like ArgoCD and Tekton a plus\n, • Cloud (K8s and/or GCP) expertise\n\n Nice to have: \n\n • Understanding of security concerns and frameworks such as SLSA and ensuring provenance of the SBOM\n, • Proven communication and influencing skills, experience coaching and mentoring\n\n By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

\n Software Engineer - Python \n Watford, Hertfordshire (Hybrid) \n £70,000 - £75,000 per annum + Excellent benefits \n On behalf of an industry Leading organisation, I am seeking a Software Engineer - Python with strong production experience building high-throughput, message-driven platforms. This role suits someone comfortable working on real-world, always-on systems where reliability, performance, and clear engineering judgement matter as much as clean code. \n The business is pleased to offer this role on a hybrid basis with 2-3 days in office; therefore, you must be within easy reach of their Watford-based offices. \n Responsibilities: \n\n • Collaborate closely with Principal Engineers.\n, • Provide technical guidance, insight, and mentorship to other engineers.\n, • Participate in peer reviews and offer constructive feedback.\n, • Support product stakeholders in shaping the roadmap.\n, • Contribute to best practices and engineering standards across the wider engineering organization.\n, • Participate in modern software development practices including pairing, code reviews, documentation reviews, testing, and continuous delivery.\n, • Translate requirements into implementable technical specifications and tasks.\n, • Maintain accurate and reliable technical documentation.\n, • Provide regular updates on progress, timelines, risks, and dependencies.\n, • Lead troubleshooting and incident resolution, including occasional out-of-hours support.\n, • Ensure unit tests are implemented and fit for purpose.\n, • Research and evaluate new technologies that could benefit the organisation.\n, • Design and develop high-quality Python software that meets complex business needs.\n, • Ensure code, documentation, and testing align with engineering standards.\n, • Deliver solutions that meet acceptance criteria, performance expectations, and operational reliability.\n, • Integrate products with monitoring and support tooling.\n\n Experience/Skills required: \n\n • Experienced Python Developer who can make sound trade-offs, design for scale, and contribute to complex systems without over-engineering.\n, • Strong engineering judgement and real-world delivery experience.\n, • Senior-level experience designing and building production Back End services in Python (3.10+).\n, • Strong background in high-throughput, message-based or event-driven systems.\n, • Proven experience building API-first services, with a focus on performance, reliability, and maintainability.\n, • Python Back End development, primarily using FastAPI and modern API patterns.\n, • Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger.\n, • Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar.\n, • Cloud-native development experience is essential (ideally on Azure).\n, • Hands-on experience with containerisation (Docker) and orchestration platforms such as Kubernetes.\n, • Exposure to building and supporting shared or internal libraries used across multiple services.\n

\n Enterprise Architect - Bloomreach CRM & Customer Lifecycle Management (CLCM) - Marketing 6 Month Contract - Inside IR35 Remote with occasional travel to London/Leeds office \n My global client is seeking an Enterprise Architect to lead the architectural design and delivery of a major Bloomreach CRM and Customer Lifecycle Management transformation programme within a complex, highly regulated digital environment. \n You will own the target-state CRM architecture, ensuring seamless integration with core platforms, identity systems, payments, risk engines, data platforms, and governance tooling. The role requires balancing marketing growth, regulatory obligations, risk controls, and scalable technical architecture. \n Key Responsibilities \n\n • Define and govern enterprise CRM & CLCM architecture\n, • Architect acquisition, onboarding, engagement, retention, and reactivation journeys\n, • Develop omnichannel engagement patterns (email, SMS, push, in-app, Real Time triggers)\n, • Lead personalization and Real Time decisioning architecture (CDP, segmentation, ML models)\n, • Design campaign orchestration, eligibility logic, and compliant suppression rules\n, • Define architecture for incentive/bonus systems and associated risk-mitigation controls\n, • Embed compliance-by-design: data privacy, consent, regulatory segmentation\n, • Work closely with Marketing, Compliance, Risk, Data, Product, and Engineering teams\n\n Required Experience \n\n • Previous experience in Enterprise or Solution Architecture\n, • Proven leadership in Marketing Technology transformation on CLCM architecture, in particular Bloomreach (mandatory experience)\n, • Experience designing Real Time, event-driven, cloud-native architecture\n, • Excellent stakeholder management and communication skills\n, • Strategic, systems-level thinking\n\n Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

\n DevOps Engineer (AWS/Terraform/GitLab) - Contract - SC & NPPV3 Required \n Location: Remote/UK \n Term: 12 Months \n Rate: £500 - £600/day (Lead SFIA 5 level for top end rate) \n URGENT CONTRACT REQUIREMENT \n We are seeking a hands-on DevOps/Platform Engineer for an initial 12-month contract to support, secure, and scale our AWS cloud and hybrid platform. Key Technical Stack & Responsibilities:\n \n \n\n • \n AWS Cloud: Control Tower, EKS, EC2, VPC/Private Links, RDS, IAM, Route53, ELB, Secrets Manager. \n • \n IaC & Automation: Terraform (Infrastructure as Code) and Ansible (Configuration Orchestration). \n • \n CI/CD & DevSecOps: GitLab CI/CD pipelines, on-premises GitLab server, GitLab Runner fleet, and shift-left security (SCA, SAST, DAST). \n • \n Containers & GitOps: Docker-Compose on EC2, EKS, and ArgoCD. \n • \n Artifact Management: Support for self-managed JFrog Artifactory & Xray. \n • \n Scripting: Developing automation scripts, Docker, Terraform, and Ansible files. \n • \n Operations: Participation in an out-of-hours on-call rota for Priority 1 & 2 incidents. \n\n Immediate start preferred. Apply now with your up-to-date CV.

At Air Apps, we believe in thinking bigger and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018 and now with offices in both Lisbon and San Francisco, we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management and change lives along the way. As a DevOps Engineer – Mobile, you will play a crucial role in streamlining the delivery, integration, and performance of our iOS and Android mobile apps. You'll help shape and maintain the infrastructure, CI/CD pipelines, and automation processes that enable our mobile engineering teams to ship faster and more reliably. Your work will directly impact millions of users worldwide by ensuring high availability, rapid deployment, and top-tier performance. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain robust CI/CD pipelines tailored for mobile app development (iOS and Android). Automate build, test, and deployment workflows across multiple environments. Manage cloud infrastructure to support mobile backend services and tooling. Collaborate with mobile developers to ensure efficient release cycles and fast feedback loops. Optimize the performance, reliability, and scalability of mobile-specific infrastructure and build systems. Integrate monitoring, logging, and alerting for mobile services and CI/CD systems. Enforce mobile app security best practices, including certificate management, secrets handling, and signing processes. Support infrastructure as code (IaC) practices using tools like Terraform. Continuously evaluate and implement emerging DevOps tools and practices to improve mobile development workflows. Around 3+ years of experience in DevOps, with a strong emphasis on mobile app pipelines and automation. Proficiency with mobile CI/CD tools (e.g., GitHub Actions, Bitrise, fastlane, CircleCI, or GitLab CI). Experience in building and distributing iOS and Android applications in scalable environments. Familiarity with Apple Developer tools (Xcode, provisioning profiles, code signing) and Google Play Store pipelines. Hands-on experience with cloud platforms such as GCP, Azure, or AWS. Experience with Docker, Kubernetes, or similar containerization and orchestration systems. Strong scripting skills in Bash, Python, or similar languages. Understanding of mobile-specific security practices (e.g., certificate management, secure storage). Familiarity with monitoring and logging tools like Prometheus, Grafana, or Datadog. Experience working in Agile or cross-functional teams with a product-driven mindset. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Role Summary Please read, and if you are a good match call or email Lorenz Pasch at Hays Recruitment ASAP. Join a high-growth payments technology business as a customer-facing Solution Architect, leading enterprise solution design for global merchants and helping shape complex payment integrations from discovery through to delivery. We're looking for a payments specialist with strong experience across payment orchestration, PSPs, acquiring, routing and API integration architecture, combined with excellent stakeholder and pre-sales engagement skills. Lorenz Pasch: (phone number removed) | | My full contact details are available on my LinkedIn profile (No visa sponsorship is available for this position) The Opportunity This is a fantastic opportunity to join a rapidly growing fintech operating at the forefront of payment technology. Working closely with sales, product and engineering teams, you'll act as the technical lead throughout the customer lifecycle, helping some of the world's leading organisations optimise payment performance, improve customer experiences and unlock new revenue opportunities. You'll engage directly with enterprise customers, leading technical discovery sessions, designing scalable payment architectures and providing trusted technical guidance throughout the sales and implementation journey. Key Responsibilities Lead technical discovery workshops and solution design sessions with customers. Translate business requirements into scalable, enterprise-grade technical solutions. Support enterprise sales opportunities, RFPs and customer presentations. Design payment architectures across orchestration, acquiring, routing and payment methods. Create API integration strategies and technical solution documentation. Partner with Product and Engineering teams to ensure solutions are technically viable and aligned to product strategy. Present technical concepts to both technical and non-technical stakeholders, including senior leadership teams. Act as a trusted advisor throughout the customer lifecycle.What We're Looking For Significant experience in Solution Architecture, Technical Consulting, Solutions Engineering or Technical Pre-Sales. Strong payments industry background. Experience working with payment orchestration, PSPs, acquiring and payment routing. Strong understanding of Visa, Mastercard and alternative payment methods. Experience designing and delivering API-based integrations. Excellent communication and stakeholder management skills. Proven ability to bridge technical and commercial discussions.Highly Desirable Experience with payment orchestration platforms. Knowledge of PCI DSS, PSD2, Open Banking and 3DS2. Experience within the travel, hospitality or airline sectors. Previous experience supporting enterprise sales opportunities.Why Apply? Work with globally recognised enterprise customers. Influence the future direction of payment technology solutions. Highly collaborative and innovative environment. Strong career growth within a scaling fintech business. Competitive salary and benefits package.Lorenz Pasch: (phone number removed) | | Hays Recruitment Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Bid Manager (Pursuit, Bid and Solutions Manager) Hybrid - London preferred, flexible for the right candidate who's energised by face-to-face meetings that matter | £65,000 - £75,000 The role has changed. We're not hiring for the old one. AI has rewritten what a Bid Manager needs to be. The old model, a writer in a room, assembling content to someone else's brief is obsolete. We're looking for someone who leads from the front: shaping win themes, challenging sales strategy, and directing pursuit teams to win, not executing instructions from a Sales Director. This is the strategic engine behind the sales function, not business development and not template-driven bid writing. You'll lead pursuits averaging £25m-£100m, across the UK and multi-country opportunities. We need gravitas to challenge senior stakeholders, commercial judgment to know what's genuinely deliverable, and the creativity to push our propositions beyond the obvious. What you'll be doing Directing pursuit teams and challenging win themes, not taking a brief, setting one. Leading solution design and differentiated propositions on complex, high-value opportunities (£25m-£100m, UK and multi-country). Owning sales strategy input for live pursuits, with the authority to push back when a strategy won't win. Leading internal discovery and solution workshops, engaging and influencing senior stakeholders. Ensuring proposed solutions are both operationally deliverable and commercially viable. Leading end-to-end pursuit governance: qualification, planning, reviews and submission readiness. Overseeing AI-enabled bid production, continuously refining solutions and submissions to raise speed, clarity and creativity. Setting the standard for excellence, then building the talent to sustain it.What we're looking for Proven experience leading and winning complex bids/pursuits, including governance, workplan management and multi-stakeholder orchestration. Strategic pursuit leadership and strong solutioning capability. Confidence facilitating senior workshops and a track record of influencing senior leaders. Strong commercial acumen, you understand the levers of value, risk and delivery feasibility and can manage the finance team to build the correct commercial model. Exposure to workforce solutions and/or technology-enabled solutions highly desirable. AI-fluent, able to show how it sharpens your judgment and speed.You'll thrive in this role if you Take a solutions-first, customer-outcome mindset. Have the gravitas and pace to lead, challenge and drive decisions. Pair creative thinking with delivery discipline. Have already moved past bid admin into bid leadership.Vertage is the global brand uniting the former Impellam Group and HeadFirst Group, bringing together a portfolio of specialist talent and workforce solutions companies. At Vertage, you help reshape the way work gets done. You combine specialised expertise with the power of AI, helping people and organisations move faster, think bigger, and stay ahead in the age of intelligence. Sound like you? Apply today to join Vertage. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity or age

AI Solutions Architect (Pre-Sales) Please read the job advert carefully, and get in touch with Lorenz Pasch at Hays Recruitment ASAP. My full contact details are available on my LinkedIn profile London | Hybrid | Permanent | £90,000-£110,000 I'm working with a global organisation investing heavily in its AI capability and looking for an AI Solution Architect to play a key role in shaping what comes next. The role sits at the intersection of AI architecture, hands-on technical delivery and advisory. You'll help define how AI solutions should be designed and built, guide engineers through delivery, and work directly with senior stakeholders on complex business problems. There is also a genuine client-facing element, so this would particularly suit someone who enjoys combining deep technical expertise with consulting, solutioning and pre-sales. The Role You'll take ownership of end-to-end architecture across a growing portfolio of AI initiatives, covering both internal transformation and external solutions. You'll be responsible for: Translating business problems into practical AI architectures and technical solutions Owning solution design from initial requirements through to delivery Architecting agentic AI systems using model APIs, orchestration frameworks, RAG and retrieval patterns Making informed decisions between different models, platforms, low-code solutions and custom development Designing integrations, APIs, data pipelines and the underlying data architecture required by AI applications Working extensively across Microsoft technologies including Copilot Studio, Power Platform, Azure and Microsoft 365 Establishing reusable architectural patterns and engineering standards Considering security, governance, performance, resilience, data residency and cost throughout solution design Providing technical direction and mentorship to engineers Supporting client conversations, technical discovery, proposals and pre-sales activity Presenting complex technical concepts credibly to both technical and non-technical stakeholderAbout You I'm interested in speaking with people from Solution Architecture, AI Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI / LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform / Power Automate / Dataverse Azure and Microsoft 365 Python and/or TypeScript APIs, integrations and data architecture AI governance, security and cost optimisation Technical consulting, stakeholder management or pre-salesWhy Consider This Role? This an opportunity to join at an unusually interesting point in the organisation's AI journey. Rather than inheriting a mature function and maintaining somebody else's architecture, you'll have significant influence over how the capability develops - including technology choices, engineering standards, delivery approach and future team direction. You'll also get exposure to both internal AI transformation and external advisory work, giving the role considerably more breadth than a standard internal Solution Architect position. If you're currently working across AI architecture, solutions engineering, FDE or technical consulting and want a role where you can genuinely help build the capability rather than simply operate within it, I'd be interested in speaking with you ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Capgemini's Insights & Data practice helps leading organizations harness data, AI, and analytics to drive innovation, efficiency, and transformation. As part of our global Scale Agentic Squad, the AI Solution Leader plays a critical role in helping clients design and adopt enterprise-scale Agentic AI and Generative AI solutions. Working closely with an AI Growth Leader in a 'two-in-a-box' model, you will serve as the technical lead for strategic AI opportunities, shaping solution architecture, designing business-focused AI propositions, and creating the demonstrations and prototypes that bring those solutions to life. You will work directly with client technology leaders, helping organizations move from AI ambition to production-ready solutions that deliver measurable business value. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. As an AI Solution Leader, you will serve as the technical lead for Capgemini's most strategic AI transformation opportunities, helping clients move from experimentation to enterprise-scale adoption of Generative AI and Agentic AI. Working in a 'two-in-a-box' partnership with the AI Growth Leader, you will combine deep architecture expertise, consulting skills, and business acumen to define innovative solutions that address complex business challenges while delivering measurable value. You will be a trusted advisor to client executives, technology leaders, and architects, shaping AI strategies, target architectures, and implementation roadmaps that enable organizations to realize the full potential of AI. You will play a pivotal role throughout the pre-sales and early delivery lifecycle, leading discovery sessions, assessing business and technical requirements, architecting scalable AI solutions, and creating compelling demonstrations and proof-of-value initiatives. By partnering with account teams, delivery leaders, and strategic technology partners, you will help clients confidently navigate the rapidly evolving AI landscape while ensuring solutions are secure, scalable, and aligned with enterprise standards. Key responsibilities include: • Lead discovery workshops with business and technology stakeholders to identify high-value AI use cases, business outcomes, and transformation opportunities., • Define end-to-end solution architectures for Generative AI and Agentic AI programmes, ensuring alignment to business objectives, technical requirements, and enterprise standards., • Design enterprise-scale AI architectures covering agent orchestration, large language models (LLMs), retrieval-augmented generation (RAG), knowledge management, integrations, governance, security, and observability., • Assess client technology landscapes, data estates, cloud platforms, and security frameworks to establish the foundations required for successful AI adoption., • Own solution design activities during strategic pursuits, including architecture, delivery approach, scope definition, effort estimation, technical risks, and governance., • Develop tailored demonstrations, prototypes, and proof-of-value solutions that showcase AI capabilities and accelerate client decision-making., • Partner closely with the AI Growth Leader to shape client opportunities, create compelling proposals, and articulate business and technical value to executive stakeholders., • Engage directly with CIOs, CTOs, Chief Architects, CDOs, and security leaders to define target-state architectures and AI adoption strategies., • Provide technical leadership and design authority during the early stages of programme delivery, ensuring successful transition from solution design to implementation., • Collaborate with strategic partners including Microsoft, AWS, Google Cloud, Databricks, Snowflake, OpenAI, Anthropic, and Mistral AI to incorporate leading technologies into client solutions., • Drive the development of reusable reference architectures, accelerators, demos, and solution assets that strengthen Capgemini's AI capabilities globally., • Mentor architects, consultants, and delivery teams, helping to build enterprise AI solutioning expertise across the wider organization., • Stay at the forefront of emerging AI trends, technologies, and market developments to continuously evolve Capgemini's AI offerings and architectural best practices., • Act as a trusted technical advisor and thought leader, representing Capgemini in executive client forums, innovation workshops, industry events, and strategic transformation discussions. Experience • Significant experience in Solution Architecture, Enterprise Architecture, AI Consulting, Cloud Transformation, or Technology Leadership roles., • Proven track record designing and implementing enterprise-scale AI, Generative AI, Data, Analytics, or Cloud solutions., • Experience leading technical solutioning activities for complex client pursuits and large-scale transformation programmes., • Strong experience engaging senior technology stakeholders including CIOs, CTOs, Chief Architects, CDOs, and Security Leaders., • Experience working in consulting, systems integration, hyperscaler, enterprise software, or AI-focused organizations. Technical Knowledge • Strong understanding of Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and AI application architectures., • Knowledge of cloud platforms including Microsoft Azure, AWS, and Google Cloud., • Experience with modern data platforms including Databricks, Snowflake, vector databases, and lakehouse architectures., • Understanding of data governance, responsible AI, AI security, GDPR, and AI regulatory requirements., • Hands-on ability to create prototypes and proof-of-value solutions using modern AI development tools and frameworks. Leadership Competencies • Executive stakeholder management and influencing skills., • Strategic thinking and solution leadership., • Strong consulting and problem-solving capabilities., • Ability to translate complex technical concepts into business outcomes., • Collaborative leadership across sales, delivery, and consulting teams., • Strong communication and presentation skills., • Passion for innovation and emerging technologies. Preferred Qualifications • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field., • Master's degree preferred., • Industry certifications such as AWS, Azure, Google Cloud, Databricks, Snowflake, TOGAF, or equivalent AI and architecture credentials. Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. #GetTheFutureYouWant| _

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: We are looking for a Senior Enterprise Tech Engineer to establish and lead the Data Engineering squad within our global data team, supporting the Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity. You will play a pivotal role in building and leading a high-performing, global team of engineers responsible for designing and implementing robust, enterprise-scale data pipelines, while mentoring and coaching a team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering roadmap, balancing the demands of safe and reliable daily operation with the need to continually explore and bring new capabilities — including Generative AI — to market. This role requires expertise across: data engineering, platform engineering, software engineering, capability analysis and design and forensic problem diagnosis. You will be able to define and apply meticulous principles of automation, CI/CD and DevOps, and to lead a demanding front-office trading organisation in fully exploiting the potential of its data platform. In This Role You Will • Strategic Leadership: Establish and lead a high-performing, global data engineering squad, fostering a collaborative, results-oriented environment and owning the technical direction for the team's deliverables., • Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow., • Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time streams)., • Leverage Generative AI platforms and frameworks — agents, RAG, prompt and context engineering, evaluations and AI SDLC — to deliver novel capabilities for the trading organisation., • Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation and Total Cost of Ownership (TCO)., • Coach and mentor a team of 8-10 data engineers, providing guidance on standard processes, technical development and career growth, and fostering a culture of knowledge sharing and continuous learning., • Lead and collaborate effectively within a global, cross-functional team, building strong relationships across borders and time zones., • Drive the adoption of Agile methodologies (Kanban/Scrum) and use Azure DevOps (ADO) to plan, track and manage team workload efficiently, refining operational and capability backlogs., • Create compelling data visualisations using advanced tools (e.g. Tableau, Power BI) to communicate insights to both technical and non-technical audiences., • Champion automation tools and standard processes to deliver reliable, repeatable results, ensuring all configuration is maintained under source control with automated CI/CD deployment and test., • Develop and maintain clear, concise technical documentation for data pipelines and procedures to ensure knowledge transfer and maintainability., • Embody the spirit of continuous improvement through agile sprint retros, RCAs and design review workshops; coaching junior team members and using data to drive where the team invests. Essential Experience and Requirements • Bachelor/Master's degree or equivalent experience in Computer Science, Engineering, Information Systems or other numerate fields., • Demonstrated ability of 10 years as a Data Engineer with a proven track record of success in leading and mentoring teams., • Experience of building market data solutions within a trading or financial services environment., • In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch)., • Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations., • Mastery of SQL (including advanced optimisation techniques) and experience with relational databases (PostgreSQL preferred), including data modelling and design skills., • Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data., • Proven experience with Apache Airflow for data orchestration and scheduling at scale., • Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must., • Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control and ADO (or Jenkins) pipelines., • Experience working in a Linux environment and proficiency with Git version control., • Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to both technical and non-technical audiences., • Demonstrated experience working in a global environment and building strong relationships with teams across borders., • A passion for building high-performing teams and fostering a culture of innovation and continuous learning. Desirable Criteria • Experience with Databricks for large-scale data processing., • Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling., • Knowledge of Microsoft SQL Server administration and query performance tuning., • Familiarity with core cloud concepts: subscriptions, resource groups, IAM., • Knowledge of the commodities front office domain e.g. financial and physical instruments, market data prices. Why Join Us? At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Homeprotect Home Insurance is seeking a GCP Platform Engineer to design, build and run the company’s production data analytics platform on Google Cloud. You will create reusable IaC patterns and ensure secure, scalable data ingestion and orchestration across services such as BigQuery, Dataflow and Cloud Run. You’ll collaborate with Data Engineers, security teams and the wider platform team, implementing CI/CD for infrastructure and promoting reliable deployments across environments. #J-18808-Ljbffr

Description Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat. Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing. If you want your work to matter, this is where it happens. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time. The role: We're looking for a Revenue Operations Manager to help enable our commercial team through a period of significant change combined with fantastic growth: embedding AI into how we plan, sell and retain, while raising the efficiency bar set by our leadership and investors. Reporting to the Chief Revenue Officer, you will be responsible for ensuring that Ripjar builds, enables and governs best-in-class revenue processes across marketing, sales and customer success. You will own the operational systems that turn our growth strategy into measurable execution: the data, technology, processes, disciplines, and increasingly the AI agents that work alongside our commercial team. This is a senior, high-visibility individual contributor role, partnering directly with the executive team and acting as the: bridge between commercial leadership and the board's view of revenue performance. Key responsibilities : Revenue planning: Own the annual planning cycle end-to-end, including capacity, territories, quotas and compensation, and align this with the wider commercial plan across Marketing and Customer Success. AI orchestration and commercial transformation: Lead the design, deployment and governance of AI workflows and agents across the commercial team and within RevOps's own operations. Run a continuous cycle of evaluating, piloting, scaling and retiring tools, and prove the business impact of each. Change management: Lead the change programme that lands new processes, tools and AI workflows across the commercial team, including communication, training, adoption metrics and reinforcement. Data, systems and tech stack: Own the commercial data model, governance and quality standards that make our reporting trustworthy and our AI agents reliable. Own the wider commercial tech stack: Salesforce and the surrounding tools: including selection, negotiation, implementation and supplier management. Process discipline and cadence: Define, run and lead the operating cadences that hold the commercial team to account: pipeline reviews, forecasting, win/loss reviews and QBRs. Monitor process compliance, surface non-adherence and bottlenecks to leadership, and maintain standards when under pressure. Performance, KPIs and forecast accuracy: Define and instrument the commercial KPIs that matter to leadership and the board, including pipeline efficiency, CAC payback, NRR, gross retention and forecast accuracy. Drive measurable improvements against benchmarks. Pricing: Own pricing frameworks, deal desk and discount governance, ensuring consistent application across deals and protecting commercial margin. Enablement and SKOs: Develop and maintain the Sales Playbook, and support the planning and delivery of company kick-off and enablement events. Reporting and board-level storytelling: Deliver the monthly, quarterly and board-level reporting cadence, producing the data narratives that arm leadership with credible, defensible stories to take to the board. Requirements What we're looking for : • Demonstrated experience leading commercial transformation in an enterprise software scale-up, including at least one full annual planning cycle owned end-to-end., • A track record of designing, deploying and measuring AI workflows in a commercial setting, both for the commercial team and within RevOps itself, including data preparation, governance and driving adoption., • Proven experience leading change management across a commercial team, with the ability to translate complex process and technology change into clear, actionable messaging for different audiences., • A strong grounding in modern commercial KPIs and benchmarking, including pipeline efficiency, CAC payback, NRR, gross retention, magic number and forecast accuracy., • Strong presentation and data-storytelling skills, with an instinct for the narratives leadership needs to take to the board each quarter: and the discipline to back them with credible numbers., • A good working knowledge of sales compensation design and practices., • The confidence and commitment to hold the commercial team to account on process discipline: comfortable challenging senior peers and raising difficult issues with confidence when standards slip., • Excellent interpersonal skills, with the ability to build credible relationships across all levels and functions, including the executive team., • A proven ability to prioritise effectively, delegate admin work and manage agencies, so that the role stays focused on strategic impact rather than getting pulled into operational firefighting., • Comfort managing multiple demands and adapting to shifting priorities, ambiguity and rapid change. Tools, Technology and Methodologies • Fluency with at least one sales methodology, such as MEDDIC, Sandler or Miller Heiman, alongside familiarity with signal-based and ABM-driven GTM motions., • Expert knowledge of Salesforce (certification desirable), with hands-on experience of the wider AI-native commercial stack (for example Clari, Gong, Outreach, Clay or equivalent)., • Strong analytical skills, with confidence in SQL, BI tooling (Tableau, Looker or similar) and financial and revenue modelling. Advanced Excel is assumed. Benefits Why we think you’ll enjoy it here: • Competitive base salary per year DOE, • Fully remote working, • 25 days annual leave + your birthday off, rising to 30 days after 5 years of service, • Full Christmas shutdown, • 35 hour working week, • Flexible working hours, • Life assurance, • Company Share Scheme, • Private Family Healthcare, • Employee Assistance Programme, • Company contributions to your pension, • Enhanced maternity/paternity pay, • The latest tech including a top of the range MacBook Pro, • Offices equipped with well-stocked pantries with food, snacks and drinks when in the office

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Capgemini’s Insights & Data practice helps leading organizations harness data and Artificial Intelligence to drive innovation, efficiency, and business transformation. As organizations accelerate adoption of Generative AI and Agentic AI technologies, we are expanding our capability to deliver intelligent, scalable, and secure AI solutions that create measurable business value. We are looking for a Senior Agentic AI Solution Specialist to join our growing AI team. In this client-facing role, you will work with business and technology stakeholders to design, develop, and implement advanced AI solutions. You will help clients translate business challenges into scalable AI architectures, leveraging Agentic AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and modern cloud technologies. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home, noting that you will be unable to work at home 100% of the time. • Design and develop enterprise AI solutions, with a particular focus on Agentic AI, Generative AI, and RAG architectures., • Work with clients to understand business requirements and translate them into scalable technical solution designs., • Build, integrate, and optimize AI applications using Python and leading AI development frameworks., • Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls., • Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services., • Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle., • Provide technical leadership on AI solution architecture, best practices, and technical delivery., • Keep pace with advancements in Large Language Models, Agentic AI, cloud technologies, and emerging AI frameworks, incorporating relevant innovations into client solutions., • Support business development activities, client workshops, proof-of-concepts, and solution demonstrations where required., • Ensure AI solutions align with security, governance, Responsible AI, and enterprise architecture standards., • Degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related STEM discipline, or equivalent professional experience., • Strong experience developing AI solutions using Python and modern AI frameworks such as LangChain or similar technologies., • Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering., • Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms., • Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes., • Strong understanding of AI solution architecture, systems integration, and enterprise application development., • Ability to communicate complex technical concepts effectively to both technical and non-technical audiences., • Experience working in consulting or professional services environments is advantageous., • Knowledge of security, privacy, governance, and Responsible AI practices., • Strong stakeholder management, problem-solving, and collaboration skills. Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | _

This job is with EBRD, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Requisition ID36973Office CountryUnited KingdomOffice CityLondonDivisionInformation TechnologyContract TypeFixed Term Contract Length2 years Posting End Date12/10/2026 Purpose of Job The Principal, Solution Architect is responsible for designing end to end solutions that solve the business's problem and supports the Technical Architect with its implementation. The Principal plays a critical role in proactively leading activities that guide the development of a portfolio of solutions – including projects, products, systems (applications, technologies, processes and information), shared infrastructure and application services. The Principal ensures technology solutions align with business objectives, value streams, architectural standards and help to shape future-state architectures that drive strategic business outcomes. Guided by the Bank’s core values - putting users first, delivering elegant and reliable technology, being innovative, inquisitive and business-aware – the Principal plays a key role in ensuring that architecture is not only technically robust, but integral to the Bank’s long-term success. Accountabilities & Responsibilities Interpret and translate complex business and technical requirements into coherent architectural blueprints that achieve strategic business outcomes. Document solution architecture design and analysis work, ensuring alignment with both current needs and long-term objectives. Work closely with product owners and product managers to maintain a robust architectural runway that supports future product evolution. Collaborate with Technical Architects to transform high-level solutions into actionable, implementable designs and support delivery teams in understanding architectural intent throughout the product lifecycle. Lead the evaluation and ongoing development of future-state technology architecture by monitoring the current solution portfolio, identifying technical debt, legacy risks, and misalignment with business requirements. Analyse global and enterprise-wide trends—technological, economic, social, environmental, regulatory—and apply strategic insight to guide innovation, drive technology refreshes, and support the sustainable evolution of services and systems. Evaluate solution options, vendors, and platforms using tools such as cost/benefit analysis, proof of concepts, and RFP support, ensuring total cost of ownership (TCO) and fit-for-purpose design. Define, lead, and govern the implementation of solution architectures across business applications and technology domains. Develop long-term roadmaps and provide architecture guidance at both the enterprise and delivery levels to ensure solutions align with business capabilities, value streams, and strategic direction. Deliver enterprise-level designs and architectural artefacts (e.g. solution documents, reference models, scorecards), and provide expert consulting to teams throughout the development lifecycle. Partner with the PMO and project leads to track architectural alignment, facilitate architectural governance, and support a community of practice that promotes consistency, innovation, and adherence to architectural standards. As the Solution Architect responsible for Systems, you will lead designing and implementing application architectures and integration solutions that ensure seamless communication and data flow between systems. You will be responsible for architecting application landscapes that are scalable, resilient and aligned with business objectives, ensuring that integrated systems work efficiently across the enterprise. Day-to-day responsibilities will include: • Acts as the trusted advisor, defining, governing, and evolving architectures across Information Management, Knowledge Management, OGC, OCCO, Risk, Communications, and Editorial and Creative functions., • Develops and maintains end-to-end solution designs spanning SaaS, Low/No Code, CMS, Information and Knowledge management, and custom development platforms using Azure services, ensuring alignment with enterprise architecture standards, and security and regulatory requirements., • Translates complex business needs into technology solutions that balance cost, risk, scalability and usability, while building strong partnerships with product owners, delivery teams, and business sponsors., • Provides expert guidance on Adobe Experience Manager for digital experience and CMS platforms. Defines and governs Low/No Code solutions on Microsoft Power Platform, ensuring best practice adoption and data governance., • Leads the evaluation of SaaS products and integrations for suitability, security and alignment with architectural principles. Knowledge, Skills, Experience & Qualifications • Strong ability to communicate complex technical concepts clearly, both in written and verbal formats, particularly when engaging with stakeholders, • Experience in capturing technical requirements and documenting them in written and pictorial (PowerPoint, Visio etc), • Experience in engaging with business and IT stakeholders to gather requirements and ensure alignment between architecture and business goals., • Experience working within Agile, DevOps, and product-aligned teams, contributing to sprint-based and continuous delivery, • Demonstrable experience working within TOGAF with deep understanding of its application, • Expertise in solution integration, process orchestration, and data flow design across enterprise systems., • Demonstrable experience supporting enterprise change initiatives., • Expert knowledge in knowledge management solutions., • Practical expertise in Microsoft Power Platform (Power Apps, Power Automate, Power BI) and governance models., • Deep understanding of SaaS platforms, identity and access management (e.g. Microsoft Entra) and integration approaches., • Strong grasp of enterprise integration patterns, APIs, middleware and event-driven architectures., • Experience in leading solution architecture using Azure services, • Deep understanding of Java application design and development practices, enabling effective collaboration with engineering teams., • Strong knowledge of data, security, compliance and risk with shared service functions., • Proven capability in designing solutions across multiple technology domains in complex organisations., • Demonstrated track record of delivering architecture in at least one of the relevant business areas: Legal, Compliance, Risk, or Communications/Marketing., • Experienced in leading architecture on cross-functional projects, managing diverse stakeholders and influencing senior decision-makers., • Extensive background in working with SaaS, Low/No Code and custom development solutions within enterprise environments., • Ability to create and maintain architectural artefacts consumable by technical and non-technical audiences., • Professional certifications desirable: TOGAF, Microsoft Certified (Power Platform, Azure Solutions Architect), Adobe AEM certifications., • Demonstrated commitment to continuous professional development in solution architecture and technology innovation, as reflected in certifications and training. What is it like to work at the EBRD? / About EBRD Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. At EBRD, our Values – Inclusiveness, Innovation, Trust, and Responsibility – are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment. The EBRD environment provides you with: • Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in., • A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively., • A hybrid workplace that offers flexibility to teams and individuals; that is based on trust, flexibility and connectedness., • An environment that places sustainability, equality and digital transformation at the heart of what we do., • A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits. Diversity is one of the Bank’s core values which are at the heart of everything it does. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability. Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted (for further consideration).

This job is with TE Connectivity, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. The Engineering AI Enterprise Architect is a senior AI technical authority responsible for the safe, consistent and scalable use of AI across a global engineering organisation. The role owns the Engineering AI solution design framework, including the architecture principles, reusable patterns, technical standards and production expectations used by business units to design AI models, agents, workflows and solution concepts. It helps identify common AI capabilities, reduce duplication and ensure local solutions are positioned for broader enterprise scale.Working within a wider delivery model, the role provides AI expertise across solution design, model and agent quality, architecture fit, integration quality and technical issue resolution. It requires deep AI solution design expertise, credibility in engineering environments, enterprise architecture awareness and the ability to guide technical contributors without relying on direct authority.The role partners closely with Engineering Systems and Data. The AI Enterprise Architect is accountable for the AI technical framework, solution patterns, model and agent design standards and long-term scalability decisions. The Engineering Systems and Data team are accountable for the systems, data, supplier and integration capabilities required to deliver those AI patterns effectively. • Define and maintain the engineering AI technical framework, including architecture principles, reusable patterns, readiness criteria, governance checkpoints and lifecycle expectations., • Scale AI solutions across business units by assessing local designs, identifying reuse potential, industrialising successful prototypes and guiding solutions toward production ready capability., • Create and maintain the engineering AI technology roadmap across tools, agents, models, workflows, data products, integrations and reusable services., • Identify common AI capabilities required across multiple use cases, such as retrieval, similarity search, recommendation logic, engineering reasoning, orchestration, evaluation and shared data services., • Coordinate architecture alignment across business units, engineering teams, systems leads, subject matter experts, IT, data teams, suppliers and vendors., • Review technical proposals and solution designs for scalability, maintainability, security, integration quality, reuse potential and enterprise architecture fit., • Embed security, data, IP protection, responsible AI, testing, documentation, monitoring and support expectations into practical delivery standards., • Reduce duplicate development by steering teams toward shared platforms, common services and standard architecture patterns., • Proven track record designing and scaling AI-enabled solutions across engineering or other complex operational environments., • Experience acting as a senior AI technical authority, including defining standards, reviewing solution designs and driving reuse across multiple teams., • Practical experience taking GenAI, agentic AI, RAG, intelligent automation or AI workflow solutions from concept to pilot to production with measurable adoption and impact., • Strong background in enterprise or solution architecture, with the ability to link AI capabilities to business processes, engineering workflows, data sources and enterprise systems., • Ability to engage credibly with engineering leaders, architects, systems leads, subject matter experts, IT, data teams, suppliers and vendors., • Experience creating technical frameworks, reference architectures, reusable patterns or platform enabled capabilities., • Success in global, matrixed organisations driving alignment without relying on direct authority. Technical Capabilities Deep practical expertise in enterprise AI architecture, including strong capability across most of the following areas: • LLM and GenAI solution design, including model selection, prompt and context design, grounding, tool use, structured outputs and scalability trade-offs., • Agentic AI, orchestration and human in the loop patterns., • Classical and applied machine learning architecture, including supervised and unsupervised learning, predictive models, recommendation systems, similarity models, optimization, model validation, feature engineering and production deployment patterns for engineering and manufacturing use cases., • Retrieval and knowledge systems, including RAG, embeddings, vector search, hybrid search, reranking, metadata and source traceability., • AI evaluation, MLOps and lifecycle management, including test sets, hallucination testing, model and version governance, CI/CD, monitoring, drift detection, rollback, observability, feedback loops, support handover and continuous improvement., • Secure and responsible AI architecture, including access control, data classification, data leakage prevention, prompt injection risk, secure model and API access, auditability, vendor risk, data residency, IP protection and safe use of proprietary engineering knowledge., • AI platform and integration architecture, including cloud AI services, model gateways, orchestration tools, reusable services, APIs and supplier solutions., • Integration of AI capabilities with engineering systems and data environments, such as PLM, CAD, simulation, manufacturing, quality or supply chain platforms. Leadership and Working Style • Leads as an enabler and technical authority, putting business unit needs first while ensuring solutions are scalable and enterprise aligned., • Creates structure from ambiguous AI opportunities and turns them into practical roadmaps, solution patterns, decision points and delivery guidance., • Applies systems thinking across tools, agents, models, data, workflows, platforms and enterprise systems., • Balances innovation speed with enterprise controls, sustainable support models and production readiness., • Constructively challenges designs that create duplication, unnecessary complexity, weak controls, poor scalability or vendor lock in., • Guides multiple contributors through clarity, disciplined architecture and practical governance. #jobsEMEAIS #LI-REMOTE ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on , , and WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! • Competitive Salary Package, • Performance-Based Bonus Plans, • Health and Wellness Incentives, • Employee Stock Purchase Program, • Community Outreach Programs / Charity Events, • Employee Resource Group IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job you are considering: We are looking for a highly skilled Camunda Developer with strong expertise in workflow orchestration and full-stack development. The ideal candidate will have extensive experience in Camunda, Java-based backend technologies, and React-based frontend development. You should be passionate about building scalable, high-quality applications using modern engineering practices like TDD and CI/CD. Experience in Agile environments and enterprise systems will be a strong advantage. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Experienced Camunda BPM Engineer with strong expertise in Camunda 8 BPMN 20 JavaSpring Boot REST APIs and GitLab CICD Responsible for designing developing and deploying enterprise workflow orchestration solutions on cloudnative platforms, • Design and develop lending origination workflows using Camunda 8 for process orchestration., • Implement service-task-driven integrations using Java-based job workers., • Build and integrate React-based user interfaces for handling user tasks., • Develop and maintain backend services using Java and SQL-based systems., • Analyze business requirements and deliver clean, scalable, and testable code., • Ensure all features and user stories are delivered with 100% automated test coverage., • Participate actively in SCRUM ceremonies and keep JIRA updated regularly., • Provide 3rd line support for production and assist with 1st line UAT support., • Ensure compliance with CIB metrics (including TADS) and maintain quality standards. Your Skills: • _Design and implement business workflows using Camunda 8 and BPMN 20 standards Develop and deploy workflow solutions leveraging GitLab CICD pipelines and cloud platforms • Integrate Camunda processes with enterprise applications APIs and microservices Support process analysis automation and transformation initiatives aligned to enterprise architecture and security standards • Work with ClaudeClaude Code and AIassisted engineering tools to accelerate process modelling workflow generation and validation activities Collaborate with architects engineers and business stakeholders in an Agile delivery environment We are a Disability Confident Employer: Capgemini is proud to be a _under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role., • Please opt in during the application process. Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real. | _

Bromcom Computers Plc is the UK's fastest-growing cloud-native school Management Information System (MIS) provider, serving thousands of schools across three UK countries. The DevOps Team Manager leads a team of 3-4 engineers and is accountable for the reliable, secure and controlled operation of Bromcom's Azure-first SaaS platform. This is a hands-on DevOps engineering leadership role with an expected balance of 70% hands-on DevOps engineering and 30% people and team management. The manager works closely with the engineers, contributes directly to delivery and operations, and owns completion and ongoing maintenance of the agreed DevOps operational control improvements. The role requires a credible engineering background. The successful candidate is expected to work directly across Azure platform engineering, CI/CD, Bicep/ARM, automation, incident response and operational controls, while leading the team and setting standards. They must be able to challenge technical decisions, understand operational risk and failure modes, and ensure agreed processes are implemented, followed, evidenced and continually improved. A control is not complete simply because a policy or tool exists; it must work consistently in practice. Key Responsibilities People & Team Leadership Lead, line-manage and develop a team of 3-4 DevOps engineers, including at least one senior engineer; own recruitment, onboarding, objectives, appraisals and performance management. Set clear role boundaries, decision rights and escalation routes; ensure high-risk activities are performed or approved only by people with the required competence and authority. Own team capacity, priorities and the out-of-hours on-call rota. The manager is expected to take a fair share of scheduled rota cover alongside the engineers and respond to production incidents and urgent operational issues during that cover, including evenings, weekends and bank holidays where required. Ensure rota coverage, handovers, escalation routes and recovery time are planned and sustainable, while protecting time for reliability, control improvement, technical debt, training and documentation. Build an accountable coaching culture in which engineers raise risk early, follow agreed standards, maintain evidence and learn from incidents and control failures. Engineering & Platform Leadership Provide hands-on engineering leadership for Bromcom's Azure-hosted, multi-tenant SaaS platform. Work closely with engineers to design, build, review, troubleshoot and improve platform services, pipelines, Infrastructure-as-Code, automation and operational tooling. The manager remains accountable for technical quality while enabling engineers to own their work. Set and maintain engineering standards for Azure architecture, Azure DevOps, Bicep/ARM, deployment patterns, observability, resilience, security and operational support. Challenge designs and changes using risk, maintainability, failure-mode, rollback and supportability thinking; involve senior engineers and technical leadership where specialist authority is required. Own platform SLAs/SLOs, service health, major-incident command, root-cause analysis, disaster recovery, business continuity testing and continuous service improvement. Operational Controls, Standards & Compliance Take day-to-day ownership within the DevOps team for implementing the agreed operational control improvement plan, driving actions to completion and then maintaining the controls as part of normal team operation. Implement and enforce an end-to-end change lifecycle covering request, design, risk assessment, peer or senior review, testing, approval, implementation, post-change verification and formal closure. Ensure policies, standard operating procedures, runbooks, RACI and ownership arrangements, approval thresholds and evidence requirements remain current, practical and aligned across Azure DevOps, SysAid and other operational systems. Ensure production and customer-impacting changes, including emergency changes and customer-specific change notices, have proportionate risk classification, segregation of duties, pre-production evidence, approval, rollback plans and traceable outcomes. Maintain audit-ready evidence for changes, deployments, access, incidents, disaster-recovery tests, vulnerabilities, exceptions and corrective actions, aligned with Bromcom's security, quality, service-management, UK GDPR and customer obligations. Confirm controls are operating effectively, not simply documented or configured. Track exceptions, overdue actions and repeat failures to closure, with clear corrective actions and independent assurance where required. Provide weekly control reporting and escalate material risk, blocked actions or insufficient capacity promptly. Work with QA, Compliance, Security and technical leads to translate procedural controls into automated technical gates where practical. Delivery, Automation & AI Work directly with engineers to design, build, review and continually improve Azure DevOps CI/CD pipelines and Bicep/ARM Infrastructure-as-Code, including automated approvals, testing, security checks, evidence capture and post-deployment verification. Reduce manual toil and unsafe variation through automation, reusable platform patterns and clear service ownership; ensure manual exceptions are visible, justified, time-bound and reviewed. Set the strategy and guardrails for AI-assisted and agentic DevOps delivery across CI/CD, Infrastructure-as-Code generation, incident triage, log analysis, runbook automation and documentation. Use and govern AI engineering tools such as Claude, GitHub Copilot or Codex, with clear quality, security, data-protection and human accountability controls. Apply them practically to increase delivery speed, quality and reliability, while ensuring an engineer remains accountable for every output and change. Security, Identity & FinOps Own platform identity, privileged-access and secrets-management controls, including Entra ID, Key Vault, OAuth, certificate automation, WAF and network security across VNets, App Gateway, S2S VPN and DNS. Ensure access follows least-privilege principles, is reviewed regularly and is supported by effective joiner-mover-leaver, break-glass and segregation-of-duties controls. Own observability standards across Azure Monitor and Grafana, security and vulnerability follow-up, and cloud cost and FinOps accountability for the Azure estate. Stakeholder & Cross-Team Influence Act as the accountable management and technical escalation point across Software Engineering, CloudOps, IT and Security, QA and Compliance, and external partners, working with senior engineers on design-authority decisions. Provide concise, conclusions-first reporting to the CTO and Executive Team on service health, delivery, control effectiveness, risks, exceptions and improvement progress. Contribute to Bromcom's software delivery transformation programme and align the DevOps operating model and controls with AIDP and wider software-engineering standards. Person Specification Essential Proven line-management experience leading a DevOps, CloudOps or platform team, with accountability for recruitment, objectives, appraisals, development and performance management. Current hands-on experience in DevOps, cloud or platform engineering, with the ability to contribute directly to architecture, Azure platform work, pipelines, Bicep/ARM Infrastructure-as-Code, automation, troubleshooting, security and resilience. Candidates should expect approximately 70% of the role to involve hands-on engineering delivery. Evidence of implementing and maintaining operational controls, processes and procedures in a DevOps or CloudOps environment, including ownership of improvement actions, exceptions, corrective actions and audit evidence. Practical command of end-to-end change and release governance, including risk classification, peer or senior review, testing, approvals, segregation of duties, rollback, emergency change, post-change verification and closure. Deep Azure platform expertise across Entra ID, App Services, Key Vault, App Gateway, VNets, Azure SQL or MySQL, WAF and DNS. Strong CI/CD and Infrastructure-as-Code knowledge across Azure DevOps pipelines and Bicep/ARM for Windows and Linux workloads, with the ability to govern standards and technical gates. A track record of operating production, multi-tenant SaaS at scale, including SLA/SLO ownership, major-incident command, root-cause analysis, disaster recovery and service improvement. Willingness and ability to participate personally in the out-of-hours on-call rota, including scheduled evening, weekend and bank-holiday cover where required. Experience working with security, compliance and audit teams in a regulated or data-sensitive environment, with the ability to turn policies into workable controls and demonstrate that they operate effectively. Demonstrable practical use of Claude, GitHub Copilot or Codex as engineering delivery tools, with sound governance, secure use and accountable human review. Clear senior-level communication and reporting, with the discipline to assign owners, manage risks and dependencies, challenge weak evidence and pursue actions through to verified closure. Desirable Experience leading an operational-control improvement or remediation programme in an ISO 27001 or similarly controlled environment. Containerisation and orchestration experience across AKS or Kubernetes and Docker for multi-tenant workloads. Knowledge of ITIL or service-management controls and practical use of service desk or work-management platforms such as SysAid. Experience in education, public sector, health, finance or another data-sensitive sector, including familiarity with UK GDPR and customer-specific change controls. Relevant certification, such as Azure Solutions Architect Expert or DevOps Engineer Expert. TPBN1_UKTJ

Infosys in London is seeking a Technology Architect for OSS.

Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys. Execute the Genesys Way of Selling. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects p

Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements • Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas., • Proficiency in Airflow for orchestration and workflow management., • Hands-on experience with AWS services, particularly S3 for storage and Lambda for serverless processing., • Solid understanding of data modelling, ETL/ELT processes, and performance optimization. Programming & Engineering Skills • Proficiency in Python for data engineering tasks and automation., • Ability to design and implement scalable, maintainable data pipelines., • Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship • Ability to lead technical initiatives within the team and drive best practices., • Experience in mentoring junior engineers, providing guidance on coding standards, design patterns, and career development., • Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset • Strong grasp of data quality principles, including validation and monitoring., • Ability to read, understand, and refactor existing code effectively., • Familiarity with CI/CD practices for data pipeline deployment., • Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have • Exposure to streaming data architectures and event-driven systems., • Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.