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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. We have been recognised as Fintech of the Year for two consecutive years and awarded 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. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

Senior Platform Engineer (Go/Rust) - Remote (UK) £90–100k + equity 30 days holiday Our client is a UK startup building a low-code modelling platform designed to replace spreadsheet-driven workflows for SMEs. Founded by the entrepreneur behind one of the world's most influential enterprise planning platforms (acquired for ~$8bn), the mission is to bring that same power to businesses that have been underserved by tooling for too long. Pre-commercial launch. Greenfield infrastructure. Real stakes. The technical challenge You'll be building and owning the production infrastructure for a multi-user distributed system from the ground up. That means designing for debuggability and observability from day one, not bolting it on later. Core remit includes scalable multi-environment Terraform, secrets management, gradual deployment practices (blue/green), and the ability to spin up full environment copies for testing. An AI/multi-agent infrastructure component is on the near-term roadmap. The stack IaC Terraform + Terragrunt Helm / Kubernetes AWS Observability Prometheus / Grafana Auth0 Rust / Golang NoSQL What they're looking for • Production experience with Terraform, Helm/Kubernetes, AWS networking, and debugging multi-service systems, • Observability tooling, secrets management, and authentication services in real production environments, • Comfortable operating in a distributed, multi-user system with a strong sense of end-to-end ownership, • Rust familiarity is a bonus, backend services are written in it and there's scope to contribute at that layer Engineering culture This is a team that treats design decisions as seriously as code; options are documented, tradeoffs are considered at codebase level, and mature judgment is valued over ticket throughput. Engineers own problems end-to-end and communicate proactively. Interested? Please reach out!

Title: Senior Java Dev (Spring Boot) Rate: £700 per day (Inside IR35) Location: Fully remote (UK Only) Contract: 9 months We’re supporting a major UK insurer to hire a Senior Java Backend Contractor to strengthen a team building business-critical internal platforms used every day across the organisation. You’ll join a modern engineering setup delivering and running Spring Boot APIs that power agent tooling and integrations. This is a hands-on role where quality matters: clean code, solid tests, reliable releases — and the confidence to jump into production debugging when needed. What you’ll be doing • Building, enhancing and maintaining Java/Spring Boot REST APIs, • Working across multiple API repositories in a Kanban delivery flow, • Writing well-tested code (unit tests as standard), • Deploying and supporting services on Azure Kubernetes Service (AKS), • Contributing to CI/CD pipelines, reviews and engineering best practice, • Troubleshooting defects and supporting incident resolution when issues arise, • Keeping technical documentation accurate and useful, • Helping others succeed through coaching/mentoring and knowledge sharing What we’re looking for Essential • Strong commercial experience with Java + Spring Boot, • Solid SQL and relational database experience, • Proven delivery on Kubernetes, ideally AKS, • Strong API experience (REST, Git, PR reviews) Desirable • Azure DevOps and YAML pipelines, • Docker / containerisation, • Cucumber/Gherkin, Azure Data Factory, or GenAI exposure Why this contract? • High day rate: £700/day inside IR35, • Fully remote, • Long runway: 9 months with extension potential, • A role with genuine impact on an enterprise-scale, business-critical platform If you’re a strong Java/Spring Boot engineer who enjoys delivering reliable services and improving how teams ship software, I’d love to speak to you. Click "Apply" or reach out to for more information.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

AI Engineer | Up to £130,000 | Remote | Full-Time We've partnered with a well-funded Web3 infrastructure company eliminating blockchain fragmentation to recruit an AI Engineer. Following a $20M Series A, they're scaling fast and need someone who can supercharge the org through intelligent systems, reporting directly to the CTO. You'll own the full AI stack; internal tooling, developer experience, customer-facing products, and everything in between, in a technically ambitious environment where your work has immediate, visible impact. Key Responsibilities: • Build AI-powered internal tooling and automation across all teams, • Enhance developer workflows with AI coding assistants and DX improvements, • Develop and maintain customer-facing AI systems and support pipelines, • Architect large-scale RAG and knowledge systems, • Design multi-agent and agent swarm architectures, • Manage LLM integration, model selection and cost/performance optimisation, • Fine-tune domain-specific LLMs and maintain observability (LangFuse, W&B), • Build workflow automation pipelines with n8n and LangChain What We're Looking For: • Proven track record shipping AI systems in production, • Strong Python, TypeScript and/or JavaScript, • Hands-on expertise with LangChain, n8n and RAG at scale, • LLM fine-tuning and multi-agent architecture experience, • Familiarity with MCP and modern AI tooling (Cursor, Claude), • A product mindset: you identify what teams actually need and drive adoption Bonus: Voice AI/multimodal experience or open-source AI contributions If you want to build at the intersection of cutting-edge AI and Web3 infrastructure, with real ownership and outsized impact, this is the role for you.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview 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. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

The Opportunity -> This is a performance-focused frontend engineering role with real architectural influence. ___ platform serves manufacturing clients globally, and the company is investing heavily in frontend performance as a strategic priority. The platform is undergoing a significant modernisation programme — the current Angular application requires upgrading to the latest version and modern architectural patterns, with potential future migration paths including React under evaluation. The priority is a high-performance, well-architected Angular frontend today, with the flexibility to evolve as the platform strategy matures. The engineering team is simultaneously modernising the backend (containerising .NET 8 for Kubernetes, migrating to PostgreSQL), and the AI team is building a copilot platform with multiple production agents. This role collaborates with both teams — particularly on API design and caching strategy — but the core focus is building high-performance frontend experiences, not maintaining legacy application code. There are greenfield modules being built from scratch (Digital Obeya dashboard, CIL, Centreline) where the frontend can be designed for performance from the ground up. This role carries significant architectural ownership — including knowing when to build custom components versus adapting and extending the base components available in the framework. Location: Fully remote, UK based. You'll interact with team members in the UK, Portugal, Spain, Brasil and US. Core Technical Requirements -> • TypeScript — non-negotiable. Deep proficiency required, including advanced type system features, generics, strict mode, and type-safe API contract patterns, • Angular (deep) — the production platform runs Angular 18. Must be proficient in Angular’s component model, dependency injection, RxJS, route resolvers, lazy loading, change detection strategies, and standalone components. Experience upgrading Angular applications to the latest architecture patterns (signals, control flow, deferrable views) is essential, • Component design judgement — must demonstrate strong instincts for when to build custom components versus adapting and extending base components from the framework or component library. Over-engineering bespoke components where framework defaults suffice wastes time; blindly using defaults where custom solutions are needed creates technical debt. The right candidate understands this trade-off deeply, • Modern CSS and component frameworks — Tailwind CSS (already in the stack) and shadcn/ui or similar headless component libraries. Must understand utility-first CSS, design token systems, and component composition patterns, • Performance obsession — this is the defining trait. Must have deep awareness of the patterns that drive up latency and costs:, • Bundle analysis and tree-shaking, • Code splitting and lazy loading (route-level and component-level), • Lighthouse proficiency (Core Web Vitals: LCP, FID/INP, CLS), • Main thread optimisation, • Network waterfall analysis and API call minimisation, • Browser caching strategies (service workers, HTTP cache headers, CDN configuration), • Virtual scrolling and rendering optimisation for data-heavy dashboards, • API collaboration — must work closely with backend teams to minimise API calls, design efficient data contracts, ensure caching is optimised at every layer (browser, CDN, API gateway, application), and eliminate N+1 query patterns, • Linux / CLI proficiency — must be comfortable with Linux environments, command-line tooling, and containerised development workflows AI-Assisted Development Methodology -> Solvace is transitioning towards AI-assisted development as a core engineering practice. For frontend engineers: • Hands-on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. Engineers who use these tools professionally to accelerate component development, write tests, and refactor code are strongly preferred, • Spec-driven development — ability to write clear component specifications and design documents that drive both human and AI-assisted implementation, with strong evaluation criteria and comprehensive test coverage, • Portfolio evidence — professional projects or side projects built with AI-assisted development tools are a must. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust frontend test suites (unit, integration, E2E, visual regression) and automated performance budgets that catch regressions before deployment Nice-to-Have -> • Go or Rust — valued as evidence of strong systems thinking and backend empathy, which translates directly into better API design collaboration, • d3.js / ECharts — the platform uses both for data visualisation; dashboard modules are data-heavy with complex charting requirements, • Playwright — E2E test specs exist for key modules. Experience integrating Playwright into deployment pipelines with automated smoke tests is a plus, • Datadog RUM — the platform uses Datadog Real User Monitoring. Experience interpreting RUM data (session replay, per-country latency) to drive optimisation priorities is valuable, • React ecosystem — experience with React, Next.js (SSR, RSC, app router), and Vite (build tooling, HMR, tree-shaking) is valued. Potential migration paths including React are under evaluation, and candidates with experience across both Angular and React are well-positioned to contribute to that decision, • Micro-frontend architecture — experience with micro-frontend patterns (module federation, single-spa, or similar) for incremental framework migration is a strong plus, • WebSocket / SignalR — the AI copilot uses SignalR for real-time transcription streaming; the frontend integrates with this, • Internationalisation — the platform uses Transloco for i18n across 32 languages, • Accessibility (a11y) — WCAG compliance experience is valued Your Mission (First 6 Months) -> • Drive the frontend performance programme — lead a systematic effort to optimise page load times, reduce bundle sizes, implement lazy loading, and eliminate unnecessary API calls triggered by navigation. Establish performance budgets and integrate Lighthouse scoring into the CI/CD pipeline, • Optimise JavaScript delivery — audit dependencies, implement tree-shaking, introduce dynamic imports for heavy libraries (charting, Gantt, Excel generation), and establish bundle size budgets with CI enforcement, • Build greenfield modules for performance — new modules (Digital Obeya dashboard, CIL, Centreline) are being built from scratch. Design these for performance from the ground up: virtual scrolling for widget grids, incremental data loading, WebSocket-driven updates, and aggressive client-side caching, • Implement end-to-end caching strategy — work with backend teams to implement HTTP cache headers on stable API responses, CDN-level API caching for read-heavy endpoints, client-side query caching (TanStack Query patterns), and stale-while-revalidate strategies for dashboard data, • Establish frontend performance infrastructure — instrument the frontend with comprehensive APM (Datadog RUM), establish performance budgets in CI (Lighthouse scores, bundle size limits, Core Web Vitals thresholds), and build dashboards for real-time visibility into frontend performance, • Modernise the Angular architecture — upgrade the existing Angular codebase to the latest patterns (standalone components, signals, control flow, deferrable views). Evaluate and document potential future migration paths — including React — with trade-off analysis, effort estimates, and recommendations. The goal is a modern, performant Angular foundation today with a clear-eyed view of where the frontend architecture should evolve Research vs. Applied Entirely applied / production-focused. This is a hands-on frontend engineering role. The person needs to be comfortable profiling production performance, reading APM traces, and shipping measurable improvements. They’re measured on load time reductions and user experience metrics, not architectural elegance. Why Join? • Measurable, high-impact performance work — clear performance targets with comprehensive monitoring (Datadog RUM, Lighthouse). Every improvement is directly measurable and visible to the business, • Architecture influence — this person will modernise the Angular architecture and evaluate future migration paths including React, shaping the long-term frontend strategy for the platform, • Greenfield modules — new modules are being built from scratch. The frontend engineer gets to design these for performance from day one, • AI copilot frontend — the KAI copilot uses SignalR for real-time transcription and streaming agent responses. Building the frontend for an AI copilot in manufacturing is genuinely novel, • Manufacturing domain — dashboards, shop floor kiosks, and mobile-first inspection flows are unlike typical SaaS frontend work. Rich data visualisation challenges with real operational stakes, • High visibility — frontend performance is a strategic priority. Improvements are noticed at the highest level of the organisation

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

Senior Full Stack Engineer (.NET / React / Azure / AI) 📍 UK (Remote) 💰 £70,000 + Benefits The Opportunity We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market. This isn’t just another consultancy role. You’ll work across: • 🚀 Cutting-edge internal AI products being taken to market, • 🤝 High-impact enterprise customer projects, • 🧠 Direct collaboration with one of the most technically respected leaders in the cloud & AI space This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly. If you care about clean design, security, performance, and using AI responsibly to accelerate engineering — you’ll thrive here. What You’ll Be Doing • Designing and building secure, scalable cloud-native applications, • Contributing to internal AI-powered products from concept to market launch, • Working closely with a deeply technical industry leader to shape architecture and engineering standards, • Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling, • Embedding AI-assisted workflows into real-world engineering environments, • Contributing to multi-tenant, secure SaaS architectures Technical Environment: Backend Engineering • C# (.NET / .NET Core), • ASP.NET Core APIs, • Entity Framework Core & Dapper (and knowing when to use each), • SOLID principles & clean architecture, • Asynchronous programming, concurrency & performance tuning, • TDD, unit testing & integration testing, • Code quality gates & peer review discipline, • Secure coding practices Frontend Engineering • TypeScript, • React, • Next.js, • Modern frontend patterns (hooks, state management, server/client data fetching), • Robust API integration & error handling Identity & Security Architecture • Authentication & authorisation design, • SSO flows, • OAuth2 & OpenID Connect, • JWT best practices (signing, expiry, refresh, validation), • Multi-tenant architecture (data isolation, tenant-aware auth, scaling) Cloud & Infrastructure (Azure) • Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault), • Docker & containerisation, • AKS / container orchestration fundamentals, • Azure Entra ID & managed identities, • Secure networking (VNets, private endpoints, ingress/egress patterns), • Infrastructure as Code (Terraform, Bicep or similar) DevOps & Delivery • Advanced CI/CD pipelines (Azure DevOps, GitHub Actions), • Build, test & release automation, • Secure pipeline design & secrets management, • Environment promotion strategies AI-Enabled Engineering • AI-assisted development workflows (Copilot, Claude Code or similar), • Advanced prompting for engineering tasks, • Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar), • AI coding guardrails & validation gates, • Using AI as a force multiplier without compromising maintainability or security What Makes This Role Different • You’ll help build real AI products, not just prototypes, • You’ll operate at a genuinely high engineering bar, • You’ll work directly with one of the most technically credible names in the industry, • You’ll influence architecture, standards and best practice from day one, • You’ll join at a stage where your impact is visible and meaningful Salary & Package • 💰 £70,000, • Flexible working, • High ownership, high autonomy, • Exposure to advanced AI engineering practices

Job Title: Senior Network Security Engineer Location: Remote working, but with occasional meetups in London/Surrey This is a hands‑on role at an early-stage tech company that’s building an AI‑powered cybersecurity platform for small and mid‑sized businesses and the MSPs that serve them. The product combines a plug‑and‑protect network device, a mobile app and a unified portal to deliver enterprise-grade continuous network monitoring, automated vulnerability detection and AI-guided remediation. Their Software Engineers have built a lot already. Now they need a Network Specialist to evaluate it, test it, break it, fix it and help raise the security and reliability bar across the stack. If you enjoy picking up complex systems, understanding how they behave and making them better, you’ll fit in well. The role: This is a senior role in a small team so you will need to work hands-on in multiple areas of the tech stack, requiring a depth of core networking and security knowledge, ideally along with the ability to lead others as the team grows. You will be evaluating, rules checking, testing, security testing and troubleshooting multiple device resident backend and frontend systems. You will pick up these critical systems, evaluate them and help make them as functional, secure and reliable as possible. Their solution bundles the following cybersecurity tools: • On device: Network SYN scan detection; SMB Honeypot; Scheduled network scans via embedded nmap; Sinkhole DNS server with automated domain inspection pipeline., • Network Device fingerprinting, • LLM guardrails system, including AI/ML prompt poison detection, • Public IP address scanning leveraging automated VPN tunnels, • Web admin portal (React and Node.js), • Proprietary SNMPv3 agent (Golang) reporting Windows, Mac and Linux stats, • Small business website spider inspector to assess exposure details, • CVE ticket sub-system enriching the CVE with LLMs for summary and remedy playbook, • Small business associated domain monitoring for reputation / clone analysis You don’t need to be an expert in every one of these areas, but you should have knowledge and be comfortable working across this technical landscape. What you need to bring: • Strong understanding of CVEs and the surrounding ecosystem and tools, • Deep networking knowledge across TCP/IP, DNS, DHCP, routers, firewalls, VPNs, NAT, subnets etc, • Understanding of on‑prem and cloud infrastructure network security, • Scripting skills such as Python or Bash, • Experience in testing, troubleshooting and diagnosing operations of devices and hosts on networks • Penetration testing of APIs and network services, • Linux and Ubuntu networking experience, • Familiarity with network scanning tools such as nmap, • Knowledge of cybersec frameworks like MITRE It’s helpful (but not required) if you also know: • Website architecture and security, • Microsoft Windows networking, • Test tools / frameworks, • Software engineering and architecture, with a preference for any experience coding in Python/Django, C/C++ or similar • Comfortable using AI coding tools such as Claude Code Why this role matters You’ll be joining early enough to shape how the product evolves and how the engineering culture develops, along with meaningful stock options. There’s no bureaucracy and no layers of management. Just meaningful problems to solve, systems that need improving and a team that wants someone who can take the lead where it’s needed. If you prefer hands‑on engineering over slide decks and are comfortable working in a fast-paced, ambitious startup environment, this could be the right move for you.

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. We have been recognised as Fintech of the Year for two consecutive years and awarded 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. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Looking for A technical delivery leader who can own the end-to-end success of AI agent deployments at the largest banks and fintechs in Europe. You will build the delivery function, set the methodology, and ensure every deployment drives measurable operational impact for our clients. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead Triple’s AI Delivery team: hire, develop, and manage a team of delivery professionals who ensure every AI agent deployment succeeds in production, • Own the delivery methodology from scoping and discovery through go-live, optimization, and expansion, creating a repeatable framework that scales across dozens of concurrent bank deployments, • Serve as the senior technical advisor to client executives (Heads of Operations, Risk, Payments, Cards), building trust and translating operational challenges into AI-driven solutions, • Define and track deployment success metrics (automation rate, resolution accuracy, processing time, loss reduction) and drive continuous improvement across all live clients, • Manage complex, multi-workstream deployments involving engineering, product, compliance, and client teams across different time zones and regulatory environments, • Build the knowledge base: deployment playbooks, configuration best practices, escalation frameworks, and training materials that accelerate every future onboarding, • Act as the voice of the client internally, surfacing product gaps, scalability concerns, and feature requests that shape the roadmap What you need • 7+ years of experience in technical delivery, solutions engineering, or implementation leadership in fintech or financial services, • At least 2 years of experience managing or building a delivery team, including hiring, coaching, and performance management, • Deep understanding of banking operations, payments infrastructure, or dispute and chargeback workflows, • Technical depth: you can engage meaningfully with engineering discussions, review integration architectures, and troubleshoot deployment issues without depending on others, • Proven ability to manage executive-level client relationships at banks and regulated institutions, • Experience defining and scaling delivery processes in a high-growth environment where the playbook does not yet exist, • Strong project management instincts with the ability to keep multiple concurrent deployments on track, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

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AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

Start your journey with BCD: Grow, connect, collaborate and celebrate with our global team Apprentice Business Travel Agent (Onsite) Full time, office based in Hull This entry level position is responsible for completing all incoming tasks as assigned. The Consultant will be trained to work in multiple GDSs and processes requests based on industry, client and BCD Travel rules and procedures. As an Apprentice Business Travel Agent, you will • Assist clients in creating itineraries and booking travel arrangements to meet their requirements, • Identify and learn how to use the appropriate BCD Travel tools and systems to complete requests, • Learn and enhance knowledge of the various travel industries supported (air, car, hotel, etc.), • Completes assigned tasks with a minimum of errors, • GCSE Maths and English grades 4 or above (C or above) is preferred, but not essential, • Work experience in a Customer service environment working as part of a Team is preferred, • Strong working knowledge of the Internet andMicrosoft Office applications, • Understand the on-line booking process and have a good knowledge of the Internet. At BCD Travel, we work with highly motivated and passionate people. We value open communication, collaboration, and a flexible work-life balance. We offer unique, often global, experiences that empower you to develop and grow within the organization. Sustainability and helping others is also high on our list. We make a difference through charitable activities in our communities across the globe. About us BCD Travel helps companies travel smart and achieve more. We drive program adoption, cost savings and talent retention through digital experiences that simplify business travel. Our 15,000+ dedicated team members service clients in 170+ countries as we shape a sustainable future for business travel. BCDs leading meetings and events management and global consultancy services complete our comprehensive suite of solutions for all aspects of corporate travel. In 2024, BCD achieved US$22.9 billion in sales. For more information, visit Get to know us by reading our blog and checking out our social media: Youll be offered • Flexible working hours and work-from-home or remote opportunities, • Opportunities to grow your skillset and career, • Generous vacation days so you can rest and recharge, • A compensation package that feels fair to you, including mental, physical, and financial wellbeing tools, • Travel industry professional perks and discounts Were dedicated to building a diverse, inclusive and authentic workplace. If youre excited about a role, but your experience doesnt align perfectly, we still encourage you to apply. We are committed to providing reasonable and necessary accommodations to ensure all employees can perform their roles effectively. For accommodation requests or further information, contact our Talent Acquisition department at #LI-MN1

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

With most of our paid focus group studies, you have the option to participate remotely online or in-person. Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists.

You can do this part-time or full-time. This position is perfect for anyone looking for temporary, part-time or full-time work. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income

You can do this part-time or full-time. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your

This position is perfect for anyone looking for temporary, part-time or full-time work. You can do this part-time or full-time. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists.

Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments.

Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments.

Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments.

Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments.

Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. With most of our paid focus group studies, you have the option to

If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income. Earn up to £700 per week part-time working from home. Customer Service Representative Agent Work From Home - Part Time Remote

Now accepting applicants for Focus Group studies. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists. Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments.

Now accepting applicants for Focus Group studies.Earn up to £700 per week part-time working from home.Must register to see if you qualify.No Customer Service Representative Agent experience needed.Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists.Our comp

You can do this part-time or full-time. This position is perfect for anyone looking for temporary, part-time or full-time work. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists.

This great work-from-home opportunity for anyone who is ready to invest in themselves and work hard on your own terms! Sign up and run your own customer support business or work as an agent for a Service Partner company already on the platform. Remote Community Moderator for Major Gaming Client &nda

Job Title: Call Center Representative Agent Work From Home - Remote Panelists Part-Time Focus Group Participants - Remote Work From Home (Up To £700/Week) Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Phone Interviews. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. We need participants on the following topics: • Child Related (individuals with children 18 yrs or younger), • Cell Phones (Apple, Android, or Windows...Prepaid or Contract), • Entertainment (TV shows, movies, and video games), • Food (If you buy fast food, casual dining, or upscale dining), • Sports (Casual viewers and die-hard fans), • Electronics (Tell us which devices you prefer and why), • Pets (Animal lovers needed! Dogs, cats, and other pets), • Automobiles (Do you own, make payments, or lease your vehicle?), • Show up at least 10 minutes prior to discussion start time., • Participate by completing written and oral instructions., • Complete written survey provided for each panel., • MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date., • Must have either a smart phone with working camera or webcam on desktop/laptop., • Must have access to a reliable internet connection, • Desire to fully participate in one or several of the above topics, • Ability to read, understand, and follow oral and written instructions., • Call Center Representative Agent experience is not necessary, • Flexibility to take part in discussions online or in-person., • No commute needed if you choose to work from home remotely., • No minimum hours. You can do this part-time or full-time, • Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products., • You get to review and use new products or services before they are launched to the public., • £55-£120 (per 1 hour session) This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is needed. If you are a call center representative agent or someone just looking for a flexible part time remote work at home job, this is a great way to supplement your income.

Job Title: Customer Service Representative Agent Work From Home - Remote Panelists Part-Time Focus Group Participants - Remote Work From Home (Up To £700/Week) Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Phone Interviews. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. We need participants on the following topics: • Child Related (individuals with children 18 yrs or younger), • Cell Phones (Apple, Android, or Windows...Prepaid or Contract), • Entertainment (TV shows, movies, and video games), • Food (If you buy fast food, casual dining, or upscale dining), • Sports (Casual viewers and die-hard fans), • Electronics (Tell us which devices you prefer and why), • Pets (Animal lovers needed! Dogs, cats, and other pets), • Automobiles (Do you own, make payments, or lease your vehicle?), • Show up at least 10 minutes prior to discussion start time., • Participate by completing written and oral instructions., • Complete written survey provided for each panel., • MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date., • Must have either a smart phone with working camera or webcam on desktop/laptop., • Must have access to a reliable internet connection, • Desire to fully participate in one or several of the above topics, • Ability to read, understand, and follow oral and written instructions., • Customer Service Representative Agent experience is not necessary, • Flexibility to take part in discussions online or in-person., • No commute needed if you choose to work from home remotely., • No minimum hours. You can do this part-time or full-time, • Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products., • You get to review and use new products or services before they are launched to the public., • £55-£120 (per 1 hour session) This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is needed. If you are a customer service representative agent or someone just looking for a flexible part time remote work at home job, this is a great way to supplement your income.

In this remote-first role, you will design and implement systems leveraging Docker containers for AI agents, maintain the open-source cagent project, and collaborate with cross-functional teams.

Strong hands‑on experience designing and building AI systems, including LLM‑based applications, retrieval‑augmented generation, agent workflows, orchestration frameworks, evaluation pipelines and API integrations. Experience with agentic AI products involving workflow automation, task routing,

A leading AI research firm is seeking a Buying and Purchasing Agent to create deliverables and enhance AI research quality. This is a remote position with a commitment of 15 hours per week, offering competitive pay and performance bonuses based on task quality.

New Leaf Search has partnered with a European organisation providing business‑to‑business lease finance for digital services in its search for a Self‑Employed Sales Agent. Location: UK (Flexible / Remote). This is a highly entrepreneurial opportunity for an experienced asset finance or technol

A delivery service provider in the UK is seeking self-motivated individuals to engage local businesses for their same-day courier services.This commission-only role offers 15% on each new client's first job, with unlimited earning potential.You will introduce businesses to the services, support thei

A leading cloud services provider is seeking a Staff AI Agent Engineer to enhance customer success through the Moveworks platform.

A European finance consultancy is seeking a Self-Employed Sales Agent to work flexibly or remotely in the UK.

Next Job Abroad is looking for a customer support representative fluent in Japanese and proficient in English to join a global team.The role offers full relocation support, competitive salary, and health insurance.You'll handle tickets, communicate with customers, and follow support procedures while

Complete Business Opportunities UK is seeking sales agents to support the fight against Meningitis and Septicaemia while earning attractive commissions. Agents can work from home or on the go, using their local networks to find customers across the UK. The opportunity provides no upfront costs, with

A European finance company seeks a Self-Employed Sales Agent to develop new business across IT and technology sectors.

A well-established travel network in the United Kingdom is seeking Independent Travel Agents to build their own travel business.

A leading AI innovation firm in Greater London is seeking an experienced AI Subject Matter Expert to lead the design and deployment of AI agent systems. Ideal candidates should have 1-2 years of experience in AI system development and a strong understanding of multi-agent architectures, model select

The role involves building production-grade agent systems and collaborating across teams to ensure smooth workflows. The ideal candidate should have experience in designing distributed systems, building AI agents in production, and possess strong coding skills. A competitive salary package, along wi

Level Remote Support technician in Greater London.