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Our banking client is transforming its mobile banking experience with cutting-edge AI. We're looking for a visionary AI Solutions Architect to lead the integration of GenAI and Agentic AI into the mobile app ecosystem. This is a hands-on role for someone passionate about AI innovation in regulated industries like banking. What You’ll Do: • Architect and implement GenAI & Agentic AI features in the mobile app., • Collaborate across product, engineering, and compliance teams., • Select and deploy LLMs, agentic frameworks, and orchestration tools., • Lead prototyping, fine-tuning, and performance optimization. What We’re Looking For: • Deep expertise in GenAI, Agentic AI, and mobile app integration., • Experience in regulated sectors (banking/finance preferred)., • Strong hands-on skills with LLMs and orchestration tools., • Excellent communication and stakeholder engagement. Please note that this is a fixed term contract for six months with the option to extend. We will not transfer or sponsor a visa for this role. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) or Hybrid London/Barcelona We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

Wireless Solutions Architect – 5G SA | O-RAN | vRAN | Cloud-Native RAN Location: Reading – 2 days per month in Office Type: Permanent We are looking for an exceptional Wireless Solutions Architect to join our forward-thinking technology team, leading the design and delivery of next-generation 5G Standalone (SA) wireless solutions with a strong focus on Open RAN (O-RAN), virtualised RAN (vRAN), and xRAN architectures. In this role, you will architect and deliver end-to-end cloud-native wireless solutions that are scalable, interoperable, and aligned with the future of mobile networks. You will be at the forefront of network disaggregation and innovation, shaping the evolution of RAN architectures across private and public 5G deployments. 🔍 Key Responsibilities • Design and architect cloud-native wireless network solutions based on O-RAN, 5G SA, vRAN, and xRAN frameworks., • Define multi-vendor RAN system architecture, including RU/DU/CU components and interfaces (O1, O2, E2)., • Lead the end-to-end design, integration, and validation of disaggregated RAN technologies., • Evaluate and optimise fronthaul, midhaul, and backhaul solutions, with a focus on O-RAN Split 7.2x., • Work cross-functionally with engineering, product, and external vendors to align solutions with technical and business goals., • Produce clear architecture documentation, deployment guides, and performance tuning recommendations., • Conduct RF planning, propagation modelling, and system performance optimisation. 🎯 Required Expertise • Deep understanding of wireless network architecture: 5G SA, Open RAN, vRAN/xRAN., • Expertise in cloud-native networking, virtualisation (Kubernetes, Docker), and RAN disaggregation., • Proven experience integrating RU/DU/CU components within open, interoperable frameworks., • Strong grasp of O-RAN architecture (SMO, RIC) and interfaces (O1/O2/E2)., • Hands-on experience with vRAN/xRAN deployments, preferably involving Rakuten Symphony, Mavenir, Parallel Wireless, Nokia, or Ericsson., • Practical knowledge of RF principles, beamforming, Massive MIMO, and DSS., • Familiarity with network automation tools: Linux, Python, Ansible, Bash., • Solid understanding of 5G Core (gNodeB, AMF, SMF, UPF) and related interfaces., • Knowledge of network slicing, QoS, and Multi-access Edge Computing (MEC)., • Experience working with orchestration and management frameworks (ONAP, OSM) and REST APIs., • Ability to translate complex designs into practical, scalable solutions and lead technical delivery across teams. 🧰 Desirable Skills • RF planning and system performance modelling with industry-standard tools., • Experience with large-scale telecom network design and deployments., • Strong stakeholder engagement, technical leadership, and communication skills., • Ability to operate in multi-vendor, fast-paced environments with a collaborative mindset.

A leading consultancy partner is seeking an experienced Procurement Solution Architect to join their growing Source-to-Pay transformation practice. This is an exciting opportunity for a technically strong individual with hands-on experience in Ivalua or similar procurement platforms to play a key role in shaping and delivering enterprise-level procurement technology programmes. The Opportunity You’ll be a key member of a high-performing team focused on designing and implementing end-to-end procurement technology solutions. Acting as a trusted advisor to senior stakeholders, you will define the solution architecture, ensure delivery excellence, and help drive innovation across the Source-to-Pay landscape. The ideal candidate will bring strong knowledge of Ivalua (or other leading S2P platforms such as Coupa, Oracle, GEP, ZIP, ORO, or ServiceNow), combined with experience in architecting complex, integrated procurement solutions across large enterprise environments. Key Responsibilities • Solution Architecture: Design and implement procurement solutions that align with client business, technology, and regulatory objectives., • Ivalua Expertise: Leverage your deep understanding of Ivalua to guide implementation design, configuration, and integration best practices., • Client Engagement: Provide strategic advice to clients, helping define technology strategies, delivery roadmaps, and integration blueprints., • Delivery Oversight: Ensure successful delivery of technology components across functional design, build, testing, and go-live phases., • Innovation & Best Practice: Stay ahead of emerging trends in procurement technology, such as Agentic AI and orchestration tools, and apply these insights to client engagements., • Sales & Pre-Sales Support: Contribute to proposal development and solutioning for new opportunities, helping shape winning client strategies. Key Experience & Skills • Proven experience as a Solution Architect within procurement or Source-to-Pay transformations., • Hands-on expertise with Ivalua is highly desirable; exposure to other S2P platforms (Coupa, Oracle, GEP, ZIP, ORO, ServiceNow) is beneficial., • Strong understanding of solution design across application, data, and technical domains., • Experience with cloud-based architectures, integration middleware, and infrastructure provisioning., • Comfortable running workshops, presenting to C-suite stakeholders, and translating complex technical solutions into business language., • Strong delivery background, ideally within consultancy or blue-chip environments., • Demonstrable success in managing distributed (onshore/offshore/third-party) delivery teams. What’s on Offer • Join a well-respected consultancy at the forefront of procurement transformation., • Work on high-impact programmes with major FTSE and global organisations., • Excellent career development opportunities and exposure to cutting-edge digital procurement solutions., • Flexible hybrid working arrangements and a supportive team environment.

🚀 Senior Agentic AI Engineer 🚀 Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly with enterprise and public sector organisations, taking projects from PoC through to mission-critical deployments serving 100s–1000s of users. What You’ll Do • Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management., • Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility., • Engineer memory & knowledge services – Implement episodic/semantic memory, retrieval APIs, deduping, and summarisation agents., • Productionise at scale – Deploy containerised systems (K8s, serverless, GPU pools), implement CI/CD, observability, and auto-scaling., • Ensure robustness – Apply guardrails, cost/latency budgets, checkpointing, and critic/reviewer patterns., • Evaluate rigorously – Build automated evaluation harnesses, use golden sets, retriever validation, and drift monitoring., • Engage stakeholders – Run workshops, roadmap sessions, and maturity assessments, translating complex AI concepts into actionable strategies. What We’re Looking For Required: • Proven track record building and deploying LLM/agentic systems into production., • Strong software engineering foundations: orchestration, memory, deployment, monitoring., • Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks., • Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: • Advanced degree in AI, Computer Science, or related field., • Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools., • Background in start-ups (hands-on generalist) or consultancies (client-facing)., • Exposure to regulated industries., • Independent, entrepreneurial mindset; comfortable working with autonomy. Why Join? • Impact: Deliver production-ready agentic AI systems in real-world environments., • Innovation: Work on orchestration and deployment challenges that go beyond “glue code.”, • Reach: Remote-first role with opportunities for international collaboration., • Growth: Influence the direction of enterprise AI adoption and contribute to the wider AI ecosystem., • Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.

DevOps Enginner Job Type: Contract Salary: £450 - £650 Location: London – very flexible Consultant: Toby Day Our client is a London based paytech scale-up with 150+ employees, founded in 2017. The business provides orchestration and settlement software that helps mid-market banks, fintechs and embedded finance platforms manage payments, reconciliations and risk workflows in one integrated platform. Positions itself as a technology first partner for organisations looking to modernise payments infrastructure while reducing operational cost and time to market. Overview As organisations accelerate their digital transformation, DevOps Engineers are in high demand to enable faster, more reliable, and automated software delivery. You’ll be responsible for designing, implementing, and maintaining CI/CD pipelines, managing infrastructure as code, and supporting scalable cloud-based environments. This role suits someone passionate about automation, reliability, and continuous improvement. Key Responsibilities • Build and maintain CI/CD pipelines to automate software deployment and testing., • Manage and scale cloud infrastructure (AWS / Azure / GCP)., • Containerise and orchestrate applications using Docker and Kubernetes., • Collaborate with development, QA, and operations teams to optimise release processes., • Implement monitoring, alerting, and logging for system performance and uptime., • Drive adoption of DevOps best practices, including infrastructure-as-code and automation., • Ensure security and compliance standards are embedded in the deployment process. Core Skills & Experience • Strong experience with CI/CD tools (e.g. Jenkins, GitHub Actions, GitLab CI)., • Deep understanding of Docker, Kubernetes, and container orchestration., • Cloud platform expertise – AWS or Azure (GCP a plus)., • Scripting in Python, Bash, or PowerShell., • Knowledge of Terraform, Ansible, or similar infrastructure automation tools., • Familiarity with monitoring tools (e.g. Prometheus, Grafana, ELK)., • Experience with version control and branching strategies (Git)., • Strong problem-solving and collaboration skills. The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. To apply for this role please contact us at: Toby Day +44(0) 203 640 233

Wenham Carter is proud to be supporting a global leader in industrial software on a confidential search for a senior engineering leader: VP of AI Platform Engineering. Our client is a leading industrial-software business that delivers engineering, operations, and asset-performance solutions used by major operators worldwide. They combine domain expertise with a cloud-first platform strategy and work with strategic cloud providers to deliver scalable, secure AI services for complex industrial environments. The role You will define and deliver the organisation’s core AI Services (orchestration, APIs, SDKs, integration toolkits) and lead the technical strategy to embed AI-driven orchestration across their software portfolio. This is a hands-on senior leadership role: you will design the platform, own non-functional requirements (reliability, security, scalability, compliance), drive adoption internally and externally, and build a small, high-performing global team that moves fast with a start-up mentality. What you’ll do • Define and deliver the Core AI Services platform (orchestration, APIs, SDKs, integration toolkits)., • Lead the design and delivery of AI-driven orchestration layers across the software portfolio., • Own platform non-functional attributes: security, reliability, availability, compliance, and global scale., • Lower barriers to integration - deliver an excellent developer experience (APIs, SDKs, documentation, sample apps)., • Collaborate closely with product, cloud, and partner teams to industrialise AI capabilities., • Recruit, inspire, and lead a high-performing global engineering team with a pragmatic, product-led, start-up mindset. Core skills & qualifications • 20+ years in software product development, with 10+ years in senior engineering leadership roles, driving cloud-native platforms or AI services., • Proven track record building distributed, secure, and scalable cloud/AI services (experience with major cloud providers preferred)., • Solid background in AI/ML technologies, ideally with experience integrating LLMs or advanced AI models into production orchestration layers., • Strong knowledge of public API design, service lifecycle management, and developer experience best practices., • Familiarity with emerging AI standards and agent protocols., • Practical understanding of AI governance and regulation, with demonstrable experience implementing responsible-AI practices., • Exceptional stakeholder engagement, cross-functional collaboration, and communication skills. What success looks like (first 12–18 months) • The core AI services are production-grade: scalable, reliable, available, and secure., • Strong adoption of services by internal teams and external partners., • Excellent developer experience for AI Services APIs (reduced time-to-value, curated SDKs, documentation, onboarding)., • Compliance with AI governance and regulatory requirements., • A motivated, scalable Core AI Services team with clear growth, retention, and performance metrics. Why this role matters This is a high-impact leadership position where you will define how AI is delivered to industrial customers at scale. You’ll work at the intersection of industrial expertise and state-of-the-art AI - shaping platform architecture, partner strategy, and engineering culture for long-term competitive advantage. The company’s industrial focus and cloud partnerships make this a rare opportunity to ship AI that materially improves uptime, safety, and efficiency for asset-intensive organisations. Practicalities • Confidential senior leadership role; flexible global location with some travel to core offices expected (primarily UK and US)., • Competitive senior-leadership package (base + bonus + long-term incentives) commensurate with experience. If you are a platform leader who has built secure, scalable cloud AI services for complex enterprise customers - and you want to lead a small, ambitious team delivering industrial AI at scale - I’d like to talk.

DevOps Engineer (Digital Audio) Make radio proud at cloud scale. We’re Bauer Media Audio, home to some of Europe’s most loved audio brands. We’re looking for a DevOps/SRE who keeps systems calm under pressure, shortens the path from code to customer, and helps our teams ship reliably (and sleep better). You’ll be the heartbeat behind the uptime, performance and security of our Digital Audio platform—while coaching product and engineering teams in modern DevOps practices. Why this role matters Millions press play on us every day. Your mission is to keep it instant, secure and smooth—maintaining high availability, hardening our cloud, and helping peers build fast, resilient delivery pipelines. Think “you build it, you run it” done well, with great tooling and even better collaboration. What you’ll get stuck into • Own the reliability of our Digital Audio systems: troubleshoot service incidents, tune performance, and keep our platform healthy and available., • Build, test and upgrade infrastructure; support releases; evaluate patches; and recommend pragmatic improvements to how we run., • Partner with product & tech in roadmap, refinement and epic breakdown—bringing clear technical guidance so we deliver value that actually lands., • Lead by influence: level-up teams in DevOps methods and tools, reduce technical debt, and champion security, resilience and cost awareness. You’ll actively support our “you build it, you run it” ethos, including participation in an on-call rota for in-hours and out-of-hours incidents. The toolkit you’ll touch • AWS: Lambda, API Gateway, EKS; applying Well-Architected principles and watching costs., • Containers & Orchestration: Docker/Podman, Kubernetes., • CI/CD: Jenkins, Argo CD, GitHub Actions., • Observability: Elastic, Prometheus, Dynatrace, Grafana., • IaC & Scripting: Terraform, plus bash/Go/Python on Linux (CentOS/Fedora/Ubuntu/AMI2). What makes you a great fit • Proven in DevOps/SRE with production ownership and incident response; calm, clear comms when things get spicy., • Strong problem-solver who can go forensic when needed; security-minded with practical mitigation habits., • Comfortable guiding teams, simplifying complexity, and aligning technical decisions to business outcomes., • Organised, adaptable, and collaborative across product, engineering, security and architecture. Nice to have: experience in audio/streaming environments and operating within a 24×7 rota. Degree or equivalent experience welcome—we care about impact. How we work Collaboration first: open lines between product, delivery, engineering and security to make smart, timely decisions. Customer value, always: development aligned to market needs across devices and countries. Continuous improvement: we reduce technical debt while protecting scalability, resilience and security. Location & flexibility Permanent, full-time, remote within the UK (hybrid optional). Role includes participation in incident support rotas (in-hours and out-of-hours). The impact you’ll see in your first 6 months • Faster, safer deploys across key services., • Clear, actionable reliability metrics and dashboards., • Fewer repeat incidents; sharper incident comms and post-mortems., • Happier teams shipping with confidence. Ready to tune up the internet’s favourite radio? Apply with your CV or LinkedIn profile. If your experience looks a little different but you think you can bring the right reliability mindset and DevOps chops, we’d still love to hear from you. Bauer values inclusion and equal opportunity. We welcome applicants from all backgrounds and don’t expect you to tick every box to make a big impact here.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Note: This is a Sr. Level role! About the Role- We are looking for an experienced Senior Airflow Developer with over 5 years of experience to help transition our existing Windows scheduler jobs to Apache Airflow DAGs. In this role, you’ll play a critical part in modernizing and optimizing our task automation processes by converting existing jobs into efficient, manageable, and scalable workflows in Airflow. You will also work on security hardening, implementing data pipelines, and designing ETL processes. Key Responsibilities- • Convert Windows Scheduler Jobs to Airflow: Migrate existing Windows-based scheduled jobs into Airflow DAGs, ensuring smooth execution and reliability., • Develop and Optimize DAGs: Author, schedule, and monitor DAGs (Directed Acyclic Graphs) to handle data workflows, ETL tasks, and various automation processes., • Programming and Scripting: Use Python as the primary language for Airflow DAGs and task logic, with experience in SQL for data manipulation., • Set Up and Configure Airflow: Provide comprehensive instructions and configurations for setting up Airflow environments, including deployment, resource allocation, and high availability., • Security Hardening: Implement security best practices in Airflow, including role-based access control, network security, logging, and data protection., • Data Pipelines and ETL: Design and implement data pipelines to move, transform, and aggregate data, ensuring data accuracy and performance., • Troubleshooting and Optimization: Proactively monitor DAGs for performance issues, manage task dependencies, and optimize for performance and reliability., • Documentation and Knowledge Transfer: Document migration steps, Airflow setup instructions, and security configurations for future reference and knowledge sharing within the team. Requirements- • 5+ years of experience in working with scheduling tools, task automation, and job orchestration., • 5+ experience in Apache Airflow: Experience authoring and managing DAGs, with a solid understanding of Airflow architecture and best practices., • Experience with Airflow in Azure cloud environment., • Strong Python Skills: Ability to write clear, maintainable Python code for data workflows and ETL processes., • SQL Knowledge: Proficiency in SQL for data manipulation within ETL tasks., • Experience with Windows Scheduler: Familiarity with converting Windows-scheduled jobs to Airflow and handling dependencies., • Security Awareness: Knowledge of security hardening principles within Airflow, including user roles, network configurations, and logging., • Problem-Solving Skills: Strong analytical skills to debug and troubleshoot workflow issues and optimize DAGs for performance., • Communication Skills: Ability to document and communicate setup processes, configurations, and migration steps clearly. Preferred Qualifications- • Exposure to Docker and containerization for Airflow deployments., • Familiarity with DevOps practices and CI/CD tools., • Knowledge of additional programming languages like Bash, PowerShell, or JavaScript. What We Offer- • Growth Opportunities: Opportunities to advance and take on more complex tasks within the automation and data engineering space., • Collaborative Environment: A supportive team focused on innovation and continuous learning., • Training and Development: Access to training resources for skill-building and certifications in Airflow, ETL, and cloud platforms.

Staff Engineer – API Platforms About the Role We’re looking for an experienced and forward-thinking Staff Engineer (APIs) to shape the future of our integration and connectivity ecosystem. You’ll lead the evolution of our API strategy, standards, and platform enablement—helping teams design, deliver, and scale modern, secure, and maintainable APIs. This role is ideal for someone who enjoys defining patterns that others build upon. You’ll provide hands-on technical leadership, guide architectural decisions, and drive the adoption of best practices in API lifecycle management, governance, and developer experience. Working across product, platform, and architecture teams, you’ll ensure that APIs form a reliable and reusable foundation for the organisation’s digital platforms. What You’ll Do Technical Strategy & Leadership • Define and evolve the organisation’s API vision, including standards for design, documentation, versioning, security, and lifecycle management., • Establish reusable API design patterns and promote consistency across distributed teams., • Drive adoption of API gateways, management tools, and developer portals (e.g., Apigee, Kong, Azure API Management)., • Ensure APIs meet strong standards for authentication, observability, and scalability., • Contribute to the long-term roadmap for API enablement, developer tooling, and discoverability., • Mentor engineers, championing API craftsmanship, maintainability, and performance across teams. Design & Delivery • Design and build scalable, testable APIs using modern frameworks such as Java/Spring Boot., • Provide technical direction on integration solutions across products, services, and platforms., • Develop reusable assets such as SDKs, templates, shared schemas, and libraries to accelerate delivery., • Implement strong error handling, logging, and monitoring patterns for API reliability., • Lead improvements in automation, documentation, contract validation, and CI/CD integration., • Reduce technical debt and improve API platform resilience through proactive refactoring and optimization. Collaboration & Enablement • Partner with architects, platform engineers, and product teams to align APIs with business goals and technical strategy., • Act as a subject matter expert, supporting design reviews, architecture forums, and internal training initiatives., • Contribute to communities of practice and cross-team initiatives to advance API engineering maturity., • Facilitate knowledge sharing and standardization of integration patterns across engineering groups. Technical Expertise • Extensive experience designing and delivering RESTful APIs using Java and Spring Boot in production environments., • Strong understanding of API design principles, including resource modeling, pagination, and error handling., • Deep knowledge of API versioning, backward compatibility, and lifecycle management., • Familiarity with OpenAPI/Swagger and modern documentation tooling., • Strong grasp of API security practices, including OAuth2, JWT, scopes, and rate limiting., • Solid experience with CI/CD pipelines, Git workflows, and infrastructure-as-code approaches., • Deep testing experience, including unit, integration, contract, and E2E testing., • Experience with API management and gateway platforms (e.g., Apigee, Azure API Management, Kong, or Tyk)., • Familiarity with asynchronous integration (Kafka, RabbitMQ) and event-driven architectures., • Knowledge of containerization and orchestration (Docker, Kubernetes)., • Exposure to modern alternatives such as GraphQL is a plus. How You Work • Strategic Perspective: Balances hands-on delivery with long-term platform scalability and maintainability., • Technical Leadership: Guides teams through architectural design, technical trade-offs, and modern engineering practices., • Collaborative: Partners effectively across disciplines to unify API design and governance approaches., • Clear Communicator: Explains complex concepts simply and builds alignment across technical and business audiences., • Accountable: Takes ownership of engineering quality, platform performance, and reliability outcomes., • Continuous Improver: Actively identifies opportunities to simplify, automate, or enhance the developer experience., • Security-Minded: Designs and promotes APIs that are secure, observable, and resilient by default., • Mentor & Multiplier: Elevates others by sharing knowledge and cultivating best practices across teams. Why This Role Matters APIs are at the core of how digital products and platforms connect, scale, and evolve. As a Staff Engineer, you’ll define the patterns and practices that shape how teams across the organisation build and integrate software. Your work will ensure that the API platform is consistent, discoverable, and built for the future—empowering developers and enabling innovation at scale.

Overview: Hiring a seasoned DevOps/Platform Engineer to drive automation, platform reliability, and robust software delivery pipelines using both conventional practices and advanced AI/ML techniques in global, regulated enterprises. Key Responsibilities: • Design, deploy, and manage CI/CD pipelines and infrastructure automation, leveraging AI for, • efficiency., • Implement infrastructure as code and environment provisioning, including AI-powered script and, • configuration generation., • Monitor and optimize system reliability, availability, and security—using AI/ML for predictive, • alerts and intelligent scaling., • Establish DevSecOps best practices, compliance controls, and MLOps (CI/CD for ML workflows)., • Troubleshoot complex infrastructure, deployment, and ML model serving issues. Core Technical & AI/ML Skills: • Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash),, • and AI-enhanced automation., • Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD)., • Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker)., • Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK), including AI-driven log, • analysis and incident prediction., • Experience supporting MLOps: deploying ML workflows, ensuring model traceability and, • compliance., • Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies, • (OPA, Sentinel). Soft Skills: • Influential in driving DevOps culture change., • Strong communicator across development, security, and business teams., • Mentorship and process rigor, open-minded to AI-driven productivity improvements., • High accountability, initiative, and a proactive approach to emerging technologies.

About the Company We are searching for a UIPath Developer to join a project with one of our clients. This is a 6-12 month remote opportunity. Please note that candidates must have NPPV3 Clearance to apply. About the Role We are searching for someone who can design, build, and maintain automation workflows using the UiPath platform to streamline business processes. They work closely with stakeholders to understand requirements, develop bots, deploy them via Orchestrator, and ensure ongoing support and optimization of automated solutions. Responsibilities • Design & Development: Build, test, and deploy automation workflows using UiPath Studio, ensuring scalable and maintainable solutions., • Requirement Analysis: Collaborate with business analysts and stakeholders to understand process requirements and translate them into technical designs., • Bot Deployment & Orchestration: Manage bot deployment, scheduling, and monitoring via UiPath Orchestrator, ensuring smooth and reliable execution., • Support & Maintenance: Troubleshoot and resolve issues in live automations, implement enhancements, and provide ongoing support., • Documentation: Create and maintain technical documentation including Process Design Documents (PDDs) and Solution Design Documents (SDDs)., • Governance & Best Practices: Follow RPA development standards, implement robust exception handling, and ensure compliance with security and governance policies., • Collaboration: Work closely with cross-functional teams including IT, QA, and business units to ensure successful delivery of automation projects., • Continuous Improvement: Identify opportunities for process optimization and contribute to the evolution of automation capabilities within the organization. Qualifications • Experience with Document Understanding, AI Center, or UiPath Apps, • Familiarity with Agile delivery and DevOps practices, • Exposure to cloud platforms (Azure, AWS), • Strong understanding of RPA lifecycle and governance, • Experience with APIs, SQL, and scripting (VB.NET/C#/Python), • UiPath Advanced Developer Certification (preferred), • Proficient in REFramework and UiPath Orchestrator Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

About Us Founded in 2017, ID5 has become a global leader in digital identity solutions for the advertising technology industry, partnering with premium publishers, platforms, and advertisers worldwide. Our mission is to enhance addressability across digital environments, providing best-in-class solutions for data protection and identification. Backed by industry investors, ID5 operates as a remote-first company with a commitment to innovation, inclusion, and global collaboration. Role Overview: We are looking for a versatile Data Engineer with a strong relation to Java backend engineering to join our Graph Delivery team and help build, extend, and maintain customer-facing graph solutions. You will work on large-scale batch processing pipelines while also contributing to APIs and sometimes UIs, ensuring our products remain reliable, efficient, and impactful. The role requires strong problem ownership, and clear communication across teams like other Engineering teams, Product, and Solution Consulting. You’ll deliver immediate value through fixes and features, while long term driving the evolution of our graph products with new capabilities, improved performance, and architectural coherence. Key Responsibilities: • Join a team to design, build, and maintain batch-oriented high scale data products, along with the APIs and minimalistic UIs that support them., • Collaborate with Product, Solution Consulting, and Sales Engineering to deliver solutions for our most strategic customers—whether next-generation innovations or custom-tailored adaptations., • Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs, • Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader architecture. Required Qualifications: • 5+ years of experience in backend and/or data engineering roles, with a strong focus on building and maintaining data pipelines., • Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot, • Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow., • Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes., • Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks), • Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent)., • Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch, • Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar)., • Excellent communication and collaboration skills, with the ability to work independently and adapt quickly to complex codebases., • Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent experience. What we offer to our talent • Remote-first working policy, • A competitive compensation package, including stock options in ID5, • WeWork membership and option to work from different WeWork locations, • Regular offsites to enjoy face-to-face time and to bond further with your colleagues, • A dynamic environment that offers room for growth and development to all employees, • A friendly, international, and multicultural team, • We are proud to be an equal opportunity employer. We celebrate diversity and are passionate about creating an inclusive environment in which all employees can thrive More about ID5 Launched in September 2017, ID5 currently employs 60 people and works with premium publishers, ad tech platforms, and advertisers globally. Built to improve addressability across all digital advertising environments, ID5 has rapidly established itself as the most adopted identity solution in the market, prevailing over larger and more established companies thanks to its unique position and focus on providing the best identification and data protection technology. The company is backed by financial and strategic industry investors who believe in ID5’s vision and plan. This investment has allowed ID5 to expand the business, increase its footprint globally, and hire the best talent to support its ambitious growth plans. Recognized as one of the most outstanding employers by ___, ID5 is a remote-first company, allowing employees to work from different locations and time zones indefinitely. We equip our team with all the tools needed to perform their work remotely, and we ensure people bond and stay connected thanks to regular all-hands meetings, communication tools such as Slack and Zoom, and by organizing regular offsites around the world. We also offer WeWork membership for those who prefer not to work from home, and allow individuals to move across different WeWork locations. More details about our remote-first organization here: 6927642580742504449-KbhL

Systems Engineer – BESS Modelling Ready to Make a Real Impact? Join e-STORAGE! Who We Are Welcome to e-STORAGE, a proud member of the Canadian Solar Inc. (NASDAQ: CSIQ) family! We’re leading the way in designing, building, and integrating advanced battery energy storage systems for utility-scale projects. Our mission? To accelerate the world’s renewable energy transition and create a more sustainable, resilient energy future for everyone. With our innovative SolBank lithium-iron phosphate battery technology and comprehensive project services, we’re not just building products we’re powering communities and making a difference worldwide. Role Overview for Systems Engineer – BESS Modelling The BESS Modelling department is responsible for developing and deploying advanced behavioural and control models to optimise the operation of Battery Energy Storage System (BESS) operations. As a Systems Engineer in the BESS Modelling Department, you will help with design and deployment of on-site compute and data infrastructure that enables these models to run on live BESS plants. You will bridge the gap between industrial control systems and modern data infrastructure, ensuring reliable, secure, and scalable data collection and orchestration between distributed edge servers and a central analytics environment as well as interfacing with cloud infrastructure such as AWS. Key Responsibilities Infrastructure Setup & Deployment • Design, configure, and maintain on-site compute infrastructure (edge servers, gateways, networking)., • Deploy containerized environments (e.g. Docker/Kubernetes) to host modelling and data processing workloads., • Implement robust and efficient communication and data synchronization between distributed edge nodes and a central cloud or on-premise server. Data Collection & Industrial Connectivity • Develop and manage data acquisition systems interfacing with plant control systems., • Integrate industrial protocols such as Modbus, OPC UA, MQTT, or equivalent. Ensure data integrity, timestamp accuracy, and consistent data flow from field devices to databases. System Orchestration & Monitoring • Build frameworks for managing and scheduling model execution (e.g. simulation, forecasting, diagnostics). Implement monitoring, logging, and alerting for edge compute environments., • Support the deployment and updates of new modelling scripts or container images on site. Collaboration & Support • Work closely with data scientists and modelling engineers to understand compute and data requirements., • Collaborate with site commissioning teams and control engineers to ensure safe integration into existing plant systems., • Provide documentation, training, and troubleshooting support for deployed systems. Required Skills and Experience Technical • Strong understanding of industrial data acquisition and control systems (PLC/SCADA interfaces, Modbus TCP/RTU, OPC UA, etc.)., • Experience with edge computing or distributed system design., • Proficiency in Linux administration, Docker, and network configuration., • Familiarity with Python or scripting languages for automation and data handling., • Experience with databases (e.g. TimescaleDB, InfluxDB, or PostgreSQL) and data orchestration tools., • Understanding of industrial cybersecurity principles and safe plant integration. Desirable • Exposure to AWS / Azure IoT / Greengrass / Kubernetes or other relevant orchestration frameworks. Experience working with time series data pipelines. Knowledge of BESS operations, power systems, or renewable energy controls., • Previous experience with edge-to-cloud data architectures. Soft Skills • Strong problem-solving and hands-on approach to technical challenges., • Comfortable working in operational environments (industrial or energy)., • Collaborative mindset and ability to translate between modelling, DevOps and controls engineering teams., • Ability to present and communicate complex topics with broader audiences and multi disciplinary teams., • Strong ability to document to a high quality level to enable effective knowledge capture and transfer. Qualifications • Bachelors degree (or higher) in Electrical Engineering, Computer Engineering, Mechatronics, or related discipline., • 3+ years experience in industrial automation, OT/IT integration, or distributed systems engineering What It’s Like to Work Here At e-STORAGE, you’re more than just an employee—you’re part of a team that values your ideas, your background, and your unique perspective. We believe that a culture of equity, diversity, and inclusion isn’t just the right thing to do—it’s the secret to our success. Here, you’ll find: • Integrity: We do what’s right, always., • Innovation: We encourage fresh thinking and bold ideas., • Quality: We take pride in delivering excellence, every time., • Customer Focus: We listen, we care, and we deliver., • Sustainability: We’re passionate about protecting our planet for future generations. Why You’ll Love Working With Us • Join a global leader in renewable energy, backed by over 23 years of Canadian Solar experience., • Work on projects that matter—helping to build a cleaner, greener world., • Thrive in a supportive, collaborative environment where your growth is our priority., • Enjoy a competitive salary and a generous benefits package. Want to join ? Here is what we are looking for • The right mix of education, experience, and skills for the role., • Great communication, teamwork, and problem-solving abilities., • A true commitment to safety, ethics, and sustainability. Your Rewards We offer a competitive salary, performance bonuses, and a comprehensive benefits package—including health coverage, retirement plans, paid time off, and more. Our Commitment to Equality & Diversity “At e-STORAGE, we know that diverse teams drive innovation and better results. We’re committed to creating a workplace where everyone feels respected, valued, and empowered—regardless of age, race, gender, ability, or background. When you join us, you’re joining a community that celebrates your uniqueness and supports your success.” — Libby, Sr. Global HR Manager

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our______. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read______ and what______. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data. This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position. You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy. What we're looking for: • Background in Computer Science, Computer Vision, or Audio ML, • Experience working in deep learning teams and production environments, • Strong Python skills and a passion for clean, maintainable code, • Hands-on experience with workflow orchestration, • Interest in large-scale, non-tabular data (video, audio, images) Bonus point if you have experience in: • Processing large volumes of data in the video and/or audio domain, • Working on the data side of a GenAI product Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. ___ Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read ___ and what ___. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about ___ AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about ___. The good stuff... • Competitive compensation (salary + stock options + bonus), • Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe., • 25 days of annual leave + public holidays, • Great company culture with the option to join regular planning and socials at our hubs, • other benefits depending on your location

Automation Engineer – Data Analytics Platforms Location: Remote (UK) Duration: 6 months Pay Rate: Open to negotiation (depending on experience) About the Role Join a prestigious global consulting firm’s data analytics team that empowers users across multiple regions with best-in-class analytics solutions. You’ll help streamline workflows, automate repetitive tasks, and make data tools like Tableau, Power BI, Microsoft Fabric, and KNIME easy to use for employees worldwide. This is a high-impact role where your automation skills will directly improve efficiency and adoption of analytics platforms at scale. Key Responsibilities • Design and implement automation workflows across analytics platforms., • Build and maintain self-serve applications for internal users using product APIs., • Integrate and manage cloud-based services (Azure, AWS) across platforms., • Develop and maintain REST APIs to enable seamless communication between tools., • Monitor system performance and implement improvements to ensure reliability., • Collaborate with global teams in Agile sprints, contributing to daily stand-ups and planning sessions. NOTE - This is not a general IT automation engineer. They need someone who can automate processes for analytics platforms (Tableau, Power BI, Microsoft Fabric, KNIME) and integrate them with cloud services (Azure, AWS). Skills & Experience Mandatory: • Strong programming skills in Python AND (JavaScript, or TypeScript)., • Experience with automation, API integration, and workflow orchestration., • Hands-on experience with cloud platforms (Azure and/or AWS)., • Ability to build and maintain REST APIs and backend services., • Familiarity with CI/CD pipelines and version control (GitHub/GitLab)., • Experience working in an Agile environment., • Strong problem-solving and communication skills. Desirable: • Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation., • Knowledge of KNIME Hub or similar analytics workflow platforms., • Experience integrating with identity and access management systems (Azure AD, Okta)., • Familiarity with Docker, Kubernetes, or infrastructure-as-code tools (Terraform, ARM, Bicep)., • Understanding of monitoring and logging frameworks., • Basic knowledge of UI frameworks for simple front-end interfaces. Education & Certifications • Bachelor’s degree in Computer Science, IT, or related field., • Cloud certifications such as AWS Solutions Architect, Azure Administrator, or Google Cloud Professional are a plus. Why Apply? • Work with a global, high-impact analytics team., • Drive automation and efficiency across multiple platforms., • Flexible, remote working arrangement., • Open pay rate reflecting your skills and experience.

Senior Platform Engineer - Broad Street, Sheffield, EnglandCompany Description At SBS, we’re more than just a technology company – we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software , we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Job Description ?️ Location: Broad Street, Sheffield ? Full-time, permanent ? Salary: £75,000 - £85,000 per annum. ? Hybrid: Minimum of 2 days in the office per week We’re looking for talented Platform Engineers to help design, build, and evolve our secure, scalable, and resilient cloud platform, the backbone that powers our products and development teams. You’ll be part of a collaborative engineering community that values automation, observability, and continuous improvement, helping us deliver reliable, high-performance services at scale. What will the role involve? • Designing and implementing highly available, scalable infrastructure in AWS., • Ensuring our cloud environments, security, and governance meet best-practice standards., • Troubleshooting complex production issues across infrastructure, networking, and application layers, and deliver durable fixes., • Modernising existing cloud environments and CI/CD pipelines to enhance resilience, security, cost-efficiency, and developer experience., • Delivering Infrastructure as Code (IaC) using tools like Terraform, Pulumi, AWS CDK, or CloudFormation., • Building automated testing frameworks that make deployments reliable, repeatable, and low-risk., • Partnering with SRE and software teams to define shared reliability goals and deliver on them., • Championing reliability practices such as SLOs, error budgets, and blameless post-incident reviews., • Enhancing observability with robust metrics, logging, and tracing for better operational visibility and faster response times., • Working closely with security and compliance teams to maintain safe, auditable environments aligned with regulatory standards., • Around 5+ years’ experience in Cloud Operations or Platform Engineering., • Deep technical expertise with AWS (or Azure/equivalent), including compute, storage, networking, and identity services., • Proven troubleshooting skills across distributed systems with the ability to diagnose and resolve performance, networking, and availability challenges., • Strong Infrastructure as Code (IaC) experience., • Experience with CI/CD tools such as AWS CodeCommit (or similar)., • Hands-on experience with Kubernetes (EKS, AKS, or equivalent) for container orchestration., • Solid knowledge of observability stacks, monitoring, alerting, and self-healing systems., • Experience enforcing reliability and security standards in cloud environments., • Excellent collaboration and communication skills. We’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. Here’s a snapshot of the benefits you'll enjoy as part of our team: ? Competitive salary: £75,000 - £85,000 per annum. ? Health & Wellbeing: Private Medical Insurance, Health Cash Plan, Dental Insurance, Eye Care Vouchers, Flu Vaccinations ?️ Finance & Protection: Life Assurance, Critical Illness Cover, Pension Plan, Long Service Awards, Payroll Giving, Fleet car provider ? Leisure & Lifestyle : Cycle to Work Scheme, Holiday Trading, Travel Insurance As part of our hiring process, new employees will be required to pass a confidential consumer credit check and DBS check. This is a straightforward credit check for CCJ's, bankruptcy and a criminal record check; however, if you wish to know more about what is or is not acceptable, please ask our recruitment team. At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Security Orchestration, Automation & Response (SOAR) Engineer.

Proven experience in designing and implementing procurement orchestration solutions — ideally within a complex, fast‑paced environment. Opportunity to build something lasting – shaping orchestration as a scalable service offering for enterprise clients. They’ve already made significant inves

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Are you passionate about automation, orchestration, and delivering secure, high-quality solutions? Our client, a leading organisation supporting defence capabilities, is hiring for a reputable client to lead their Platform Automation Orchestration team. Job Title: Platform Orchestration Team Lead.

As the Senior Backend Engineer for Application & AI Orchestration, your central challenge will be solving the “cumulative latency” puzzle. AI Orchestration & Core Logic – Own the end-to-end backend architecture for the Personal Welcome Manager, our flagship conversational AI product. Design, b

Stay up to date with industry trends / best practices in payment orchestration.