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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 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

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.

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: 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)

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

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

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)

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

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.

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_

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.

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.

A leading fintech firm is looking for an experienced Product Manager for their payments orchestration platform. The ideal candidate will have up to 5 years of experience in fintech and strong skills in payments orchestration and CRM.

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Product Manager - Payments Orchestration & CRM. We’re partnering with a rapidly scaling fintech specialising in fraud technology and payments orchestration. Proven experience as a Product Manager within payments, fintech, fraud technology, or payments orchestration.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu