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Interim Chief Operating Officer (6-Month Contract) Day Rate: £700–£750 (Inside IR35) Contract Length: 6 months Location: UK-wide with frequent travel The Opportunity This is a critical interim leadership role within a fast-growing, innovative healthcare organisation undergoing significant transformation. Following recent strategic acquisitions, the business is entering a pivotal integration phase - bringing together multiple operating models, cultures, and service lines under a single, high-performing framework. The Role As Interim Chief Operating Officer, you will take full accountability for operational performance across a diverse national portfolio spanning a range of healthcare services. This is a hands-on, visible leadership role. Success will depend on your ability to be present in the regions, engage senior operational leaders, and turn strategy into action - quickly. Key Priorities Include: • Integration & Transformation: Lead the rapid integration of newly acquired organisations with contrasting cost bases, cultures, and operating styles. Remove legacy branding and align teams behind a single operating model., • Operational Performance: Direct and support four Operations Directors, ensuring consistent delivery against demanding NHS contractual KPIs, including access, response, and appointment standards., • Financial Grip: Protect and improve EBITDA through disciplined performance management and the development of credible Cost Improvement Plans., • Commissioner Relationships: Rebuild trust and credibility with commissioners in complex or underperforming regions, addressing historic issues and providing confident, solutions-focused leadership. About You You are a resilient, commercially astute interim leader who combines operational rigour with high emotional intelligence. You will bring: • Strong Commercial Acumen: Deep understanding of NHS contracts, KPIs, and regulated healthcare delivery - combined with experience in commercially driven or performance-critical environments., • Private healthcare Leadership Experience: It is essential that candidates bring demonstrable experience leading private (for profit or non-profit) healthcare services., • Credible, Grounded Leadership: High capability without ego. You are calm under pressure, thick-skinned, values-led, and able to maintain a positive, human culture while delivering tough outcomes., • Change & Integration Experience: A proven track record of leading complex integrations, aligning disparate teams, and managing multiple service lines at scale., • Senior Operational Leadership: Experience managing Operations Directors or equivalent senior leaders. If you are an outcome-focused interim COO with the commercial edge and leadership maturity to deliver transformation in a regulated healthcare environment, we’d like to hear from you.

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

Location: Remote (UK) Type: Full-time Compensation: DoE About Veridox Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust, accuracy, and explainability. As part of our growing team, you’ll play a key role in ensuring our product does exactly what we say it does. The Role We are looking for a smart, modern Software Tester who knows that the future of QA isn't just about writing code from scratch. It's about leveraging the right tools to move fast. We don't need a heavy framework architect. We need a rigorous tester who understands software logic and can effectively leverage AI (Gemini, Copilot, Claude, etc.) to generate test cases, write automated scripts, and analyse data. You will be the human intelligence guiding the AI tools, ensuring that our platform is robust, bug-free, and user-friendly. You are the right fit if: • You are a tester at heart: you love breaking things and finding edge cases., • You are "AI-native" in your workflow: you don't write boilerplate code; you prompt AI to write it for you, then you review and refine it., • You believe automation is essential, but you aren't afraid to jump in and manually test a complex workflow to understand the user experience. Must Haves (The Core Requirements) • QA Mindset & Methodologies: Proven experience as a Software Tester. You know how to write a test plan, define acceptance criteria, and what constitutes a "blocking" bug., • AI Literacy (Prompt Engineering): You are comfortable using tools like ChatGPT, Claude, or GitHub Copilot to generate test scenarios, create data sets, and write basic automation scripts. You know how to "debug" a bad AI prompt., • Automation Familiarity (Playwright): You don't need to build a framework from scratch, but you must be able to use Playwright. You should be comfortable recording tests (Codegen), reading the resulting TypeScript/JavaScript, and using AI to tweak it., • API Testing: You understand how APIs work (REST/GraphQL). You can use Postman, Insomnia, or AI tools to check that the data coming back looks correct (status codes, JSON structure)., • The "Hybrid" Approach: You are happy to mix automated checks with manual exploratory testing. You understand that automated tests check for regressions, but humans check for quality. Nice to Haves • Database Basics: Ability to ask an AI to write a SQL query to check data in the database, and the confidence to run it., • Experience with Low-Code/No-Code Tools: Familiarity with tools that abstract the coding layer (e.g., ZeroStep, Ghost Inspector, or similar)., • CI/CD Awareness: You don't need to build the pipeline, but you should know where to look in GitHub/GitLab when a test fails during a build., • Security Curiosity: You know the basics of web security (e.g., "I probably shouldn't be able to see this user's data") and know to flag it. What You’ll Be Doing • AI-Assisted Automation: Instead of spending days writing code, you will use AI tools to generate Playwright scripts for our regression suite and maintain them when features change., • Exploratory Testing: You will manually test new features with a critical eye, looking for UX quirks, logic gaps, and edge cases that scripts can't catch., • Test Data Generation: Using LLMs to create realistic, complex datasets (e.g., fraudulent insurance claims) to rigorously test our fraud detection logic., • Release Confidence: You will own the "Green Light." You will run the smoke tests (manual or automated) and tell the team when we are safe to deploy., • Bug Triage: Investigating reported issues, reproducing them, and providing developers with clear steps to fix them (often using AI to help write the bug report). Why Join Us? This is not a "ticket-bashing" role. You are joining a young, high-tech company where you will have the freedom to define how modern QA should be done. If you believe that a smart tester with AI superpowers can outperform a traditional QA team, we want to talk to you.

Vice President of Engineering Location: Remote (Ideally need to be based in the UK) Salary: £140,000–170,000 base + equity + benefits About the Company Join a Series A–funded digital asset risk-management platform backed by Microsoft, Coinbase, Samsung, Nyca, and Neotribe. With $22M raised and three years of financial runway, the company powers real-time risk monitoring, analytics, and intelligence insights for financial institutions, custodians, tokenized-asset issuers, and regulators. Their mission is to enable safe, compliant, scalable blockchain participation for institutions on a global scale. About the Role As VP of Engineering, you will lead and scale the engineering organization responsible for delivering the company’s core risk platform. You’ll define technical direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You’ll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase of platform evolution. Key Responsibilities Engineering Leadership & Execution • Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics., • Drive execution of the engineering roadmap, delivering secure, scalable enterprise software., • Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment. Architecture & Platform Direction • Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations., • Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity., • Lead technical direction for enterprise deployments, POCs, and customer integrations. Data Infrastructure & Analytics • Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis., • Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models., • Ensure data accuracy, quality, and resiliency across pipelines and computation layers. Emerging AI & Automation Capabilities • Introduce new automation, reporting, and workflow intelligence features., • Integrate AI-powered classification, alerting, risk scoring, and customer-facing insights securely and transparently., • Ensure future enhancements remain enterprise-ready, explainable, and compliant. Cross-Functional Collaboration • Work with Product and Analytics to convert customer needs into technical execution plans., • Support Sales Engineering and BD by communicating technical capabilities and roadmap direction., • Serve as a technical leader in customer evaluations, deployments, and audits. Technical Skills & Required Expertise The role requires deep hands-on architectural and technical leadership across distributed systems, data platforms, and analytics tooling. Languages & Backend • Python, Go (Golang), TypeScript, • Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics • AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses), • Kafka, Kinesis, or other streaming/event platforms, • Experience building large-scale ingestion and normalisation pipelines, • Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure • AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS), • CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines, • Experience operating highly available systems in production environments Security, Compliance & Enterprise • Secure systems design, identity/auth workflows, audit trails, • Enterprise-grade performance monitoring, SLAs, and reliability metrics Domain Expertise • Blockchain data platforms, node infrastructure, or crypto risk systems, • Analytics-heavy or automation-centric enterprise platforms What Sets This Role Apart • Lead engineering for a category-defining risk platform transforming blockchain compliance and safety., • Set foundational architecture powering global financial institutions and regulators., • Build and scale a world-class engineering org across multiple disciplines. Perks & Benefits • Competitive salary + meaningful equity, • Medical insurance (location dependent), • Fully remote + home office budget, • Supported attendance at blockchain conferences, • Opportunities to collaborate globally and shape emerging industry standards

Lead AI Engineer UK - Remote Portugal - Remote There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems! About This Role As a Lead AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you’ll help us get there. Key Responsibilities • Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding;, • Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended;, • Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents;, • Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation;, • Collaborate with cross-functional teams to ship and iterate on production-grade AI products;, • Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability;, • Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project. Qualifications / What You Need To Succeed • Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued., • 7+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production., • Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued., • Strong software engineering fundamentals and proficiency in Python are a must., • Be creative, ambitious and curious. Be resourceful and innovative. The Longer Story: OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in. As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At OutSystems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles. We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration. OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees. Amongst our customers are some of the world's most recognizable brands across diverse industries—brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We’re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena. Working at OutSystems Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most. What do we have to offer you? • A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative., • Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are., • Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision., • Disrupting the status quo is in our DNA. In fact, it’s why our company exists., • We ask “why” a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way. Are you ready for the next step in your career? Then we’d love to hear from you! OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring and Predictive AI Key responsibilities: • Design and maintain scalable data pipelines., • Structure, transform, and optimize data in Snowflake., • Implement multi-source ETL/ELT flows (ERP, APIs, files)., • Leverage the AWS environment, including S3, IAM, and various data services., • Prepare data for Data Science teams and integrate AI/ML models into production., • Ensure data quality, security, and governance., • Provide input on data architecture. Qualifications • 5+ years of experience in data engineering, including significant experience in a cloud environment., • Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security., • AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda., • Languages: Advanced SQL and Python for data manipulation, automation, and ML integration., • Data Engineering: Proven experience in ETL/ELT pipeline design., • AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real-time). Nice to Have: • Experience with agentic AI architectures, including agent orchestration and decision loops., • Integration of agent-driven AI models into existing data pipelines., • Knowledge of modern architectures such as Lakehouse or Data Mesh.

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

Global High-Tech Talent Connect 🌐 Join Our Talent Pool for Career Opportunities in Korea’s High-Tech Industries! As a government agency supported by the South Korean government, KOTRA London is working to connect talented professionals in the UK with leading companies in South Korea. We focus on high-tech industries, including Semiconductor, Display, Secondary Battery, Bio, Robotics, Defence, AI, and Advanced Mobility. From current students to professionals with years of industry experience, we are looking for talent in these high-growth sectors who are interested in exploring career opportunities in South Korea. Once you complete your application, we will keep your details in our database and share them with companies when a suitable role arises. Eligibility & Requirements • Students/professionals who have studied/worked in the UK, • Engineering or Sciences related fields (E.g., Electrical/Electronic Engineering, Mechanical Engineering, Chemical Engineering, Computer Science/Engineering, Artificial Intelligence/Machine Learning, Biology, Biomedical Engineering, Aerospace Engineering, etc.), • Korean language skills preferred (but not required), • Willingness to relocate to Korea is essential Should you have any further queries, please do not hesitate to reach out. For more information about KOTRA's Global Talent Center and what we do, please visit the following page:

Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Product & Technology team is looking for a Full Stack Software Engineer who is passionate about building high quality software systems that are valued by customers. If you join our team, here are some of things you’ll be doing: • Working closely with peer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs., • Developing new frontend and backend features that help make our customers successful., • Writing backend code in Typescript that is fully unit tested., • Writing frontend code in Svelte, optimizing the frontend codebase for speed, efficiency, maintainability, and scalability., • Moving fast, while taking the time to ship high-quality code. What you bring to the table: • Experience building and scaling web applications., • Strong understanding of modern JavaScript frameworks., • Strong coding ability., • Passionate problem-solving mindset., • Reputation for getting things done., • Strong sense of ownership., • Desire to learn and grow. Desired qualifications: • Experience with Typescript., • Experience with Svelte, web components, or equivalent component model., • Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake., • Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant is a data-driven, technology-fueled insurance platform that empowers underwriters to more effectively serve their insureds. We’re using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and mediumsized businesses that power our global economy and their niche insurance needs, we align incentives to improve outcomes for everyone. Our full-service risk exchange supports our carefully selected, best-in-class network of underwriting teams. We leverage granular information on each policy to deliver unprecedented insight into insurance pools, and our specialty portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. Confiden'al We’re proud to have been awarded an AM Best A- (Excellent) rating. For more information, please visit . Accelerant is a fully remote company. Work where you’re most productive and fulfilled. This position is open to remote candidates across the U.S. Canada, UK, and Europe, who have the flexibility to work with our teams distributed across Europe and North America. Most cross-team collaboration happens in the mornings of the Eastern Time Zone

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed., • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead., • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years, • 3x AWS AI/ML award wins, • 3x NVIDIA Partner of the Year titles, • 2x Snowflake Partner of the Year awards, • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms, • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators, • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Sr Machine Learning Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (UK) Job Summary We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success. Key Responsibilities: • Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data., • Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM., • Build robust data preprocessing pipelines and scalable workflows for model training and inference., • Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight., • Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection., • Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions., • Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows., • Document model development, deployment decisions, and agentic AI design choices., • Contribute to best practices in ML lifecycle management and agentic system governance., • Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline., • 5 years of progressive experience in data analysis, business intelligence, or data science roles. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production? Have you worked with GenAI / LLMs and modern ML tooling in real systems? Are you interested in crypto, blockchain, and applying ML to complex on-chain data? A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You’ll join a small, senior AI/ML team working on core product features such as: • Large-scale wallet labelling and behavioural analysis, • NFT price estimation using ML, • Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform. Requirements • 4-7+ years of professional experience in Data Science / ML roles, • Strong data science foundations (EDA, feature engineering, model evaluation, validation), • Hands-on experience with ML models in production, • Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable), • Experience with GenAI / LLMs (commercial or serious hands-on experimentation), • Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch), • Clear interest in crypto / blockchain (commercial experience a plus, curiosity required) Responsibilities • Build, train, and improve ML models on large-scale blockchain datasets, • Take models from exploration to production, working closely with engineering, • Apply GenAI / LLM approaches where they add real product value, • Maintain high DS/ML standards across experimentation, monitoring, and iteration, • Contribute to best practices in a lean, senior AI team Key details • Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus, • Location: Fully remote (UK), • Stack: Python, GCP, ML frameworks, LLM APIs, • Visa: Cannot sponsor, • Team: Senior, small, highly technical If you’re a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership. Interested? Please apply below.

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