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Senior AI EngineerLondon (Hybrid) Competitive salary between £110,000 and £120,000 plus benefits This is a rare chance to join a newly formed AI Lab at an early stage, where you will help shape how generative AI is applied to high quality, content rich products. You will work close to design, product and editorial partners, shipping zero to one AI systems that directly influence real user experiences. The Company They are a recognised organisation known for intellectual rigour, independence and innovation. Operating across media, education and enterprise insight, they reach audiences in over 170 countries. The business is investing in advanced AI capabilities to explore new ways of delivering trusted information while maintaining the highest editorial standards. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next. The Role As a Senior AI Engineer, you will be a core technical contributor within the AI Lab, focusing on building and refining LLM powered systems. • Build, fine tune and evaluate LLM based systems with a strong focus on editorial tone and style alignment, • Design and manage datasets for fine tuning, including annotation and versioning workflows, • Develop and test retrieval augmented generation pipelines using structured content, • Prototype text to speech and audio generation pipelines for audio first experiences, • Collaborate closely with product, design and engineering partners to ship internal tools and demos, • Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments, • Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning, • Strong Python skills and experience with modern LLM tooling and data pipelines, • Confidence defining and tracking generation quality using both quantitative and qualitative evaluation methods, • Exposure to speech to text or text to speech tools for prototyping audio experiences, • Competitive salary and comprehensive benefits package, • Hybrid working with 3 days per week in a London office, • Strong pension, private healthcare and wellbeing support Apply below or email me at

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems on AWS, supporting organisations across multiple industries. Role Overview As an AI Engineer, you will design, develop and deploy production-ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks, you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities • Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models), • Build and deploy RAG systems using vector databases and semantic search, • Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar, • Create effective prompt engineering strategies with appropriate guardrails for production systems, • Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications, • Build and maintain CI/CD pipelines for testing, deployment and version control, • Work directly with client stakeholders to gather requirements, demonstrate solutions and iterate delivery, • Document architecture designs, decisions and best practicesRequired Skills & Experience, • 1+ year hands-on experience deploying GenAI / LLM applications into production, • Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS, • Strong Python development skills with modern AI/ML libraries, • Practical experience using at least one LLM API, • Solid understanding of prompt engineering, RAG architectures and vector databases, • Experience with LangChain, LangGraph, LlamaIndex or similar frameworks, • Familiarity with Git and CI/CD workflows, • Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above)Highly Desirable, • Hands-on experience building agentic AI systems with planning, tool use and multi-step reasoning, • Experience fine-tuning or adapting LLMs for domain-specific use cases, • Familiarity with LLM evaluation frameworks (e.g. RAGAS, LangSmith), • Knowledge of LLM security, hallucination mitigation and responsible AI practices, • Master’s degree in AI, Machine Learning, Data Science or a related field

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Job Title: SC CLEARED Copilot SME - Studio Agents (AI Agent Builder) Location: RemoteContract Type: 3-6 Month Contract (with possible extension) Role OverviewWe are seeking a highly skilled Copilot Subject Matter Expert (SME) with a strong focus on designing, building, and optimizing Studio Agents. This role will lead the development of intelligent AI agents that enhance productivity, automate workflows, and deliver scalable business solutions using Microsoft Copilot technologies. Key Responsibilities • Design, build, and deploy AI-powered Studio Agents using Microsoft Copilot and related platforms, • Act as the SME for Copilot capabilities, advising stakeholders on best practices and use cases, • Collaborate with business teams to identify automation opportunities and translate them into agent solutions, • Configure, test, and optimize conversational flows, prompts, and integrations, • Ensure governance, compliance, and security standards are applied to all Copilot solutions, • Provide training, documentation, and ongoing support to internal teams, • Proven experience with Microsoft Copilot, Power Platform, or similar AI tools, • Strong understanding of AI agents, prompt engineering, and conversational design, • Experience integrating APIs, data sources, and enterprise systems, • Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.), • Strong problem-solving skills and ability to translate business needs into technical solutions, • Experience with Azure AI services or OpenAI technologies, • Background in automation, RPA, or workflow orchestration, • Knowledge of governance and security best practices for AI solutions, • Certifications in Microsoft AI, Power Platform, or Azure

About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

AI EngineerSalary: Up to £85,000 + BenefitsLocation: Hybrid - 3 days per week onsite in LondonWorking Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: • Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines, • Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready, • Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements, • Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation, • Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions, • Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development, • Lead implementation of engineering standards across AI and ML delivery, • Strong proficiency in Python with extensive experience using AI, ML and NLP libraries, • Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation, • Practical experience with core Generative AI frameworks and agent-based AI frameworks, • Strong experience with MLOps and LLMOps tooling including model lifecycle management, • Proven deployment experience on major cloud platforms including AI and ML services, • Solid foundation in software engineering principles for scalable, production-grade systems, • Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases, • Proven experience delivering full-stack AI or ML systems within enterprise environments, • Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows, • Excellent communication and stakeholder management capability AI, Artificial Intelligence

About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

AI Prompt Engineer/Agent builder Who we are At Grant Thornton we’re building something bold. We’re doing things differently - looking to the future, driving ambitious growth and pioneering positive change in our industry. Providing audit, tax and advisory services, we empower clients through strategic insight, curiosity, and genuine partnership. And we empower our people with real opportunity. Our journey from great to exceptional is well underway. With significant investment behind us and a clear strategy for growth, there’s real momentum. Our Agile Talent Community (ATC) brings together experienced contract professionals who want choice without losing connection. You work where you add the most value, alongside teams who treat you as a partner rather than a placeholder. Grant Thornton's Marketing function is delivering an ambitious AI transformation programme — building a suite of Claude-powered agents that automate and augment the full marketing workflow, from brief writing and content production through to campaign measurement and optimisation. We're looking for a hands-on AI builder to join the team and turn problem statements into working tools, fast. If you’re an experienced AI prompt engineer / Agent builder, you'll take scoped agent briefs and build production-ready Claude-powered tools — designing prompt architecture, testing against real marketing scenarios, iterating based on feedback, and documenting what you've built so the team can maintain and extend it. You'll work across multiple agents simultaneously, managing your own prioritisation within a defined delivery roadmap. You’ll be given the opportunity to take on short- to medium-term projects that sharpen your expertise, stretch your thinking, and give you a different angle on familiar challenges - all without locking you into a single path. You can engage with us through your own limited company or on inside IR35 terms - whichever way gives you the freedom you’re looking for. Skills we are looking for • Proven experience building with Claude or comparable LLMs — not theoretical, demonstrably shipped, • Strong prompt engineering skills: system prompts, chain-of-thought design, output structuring, guardrails and escalation logic, • Ability to read a problem statement and move to a working prototype without needing the brief to be perfect, • Experience working in marketing, content, or communications contexts is a strong advantage, • Comfortable working at pace in a delivery-focused environment with real stakeholder visibility Why Consultants choose the ATC • Work that moves you forward, • When a project fits your skills, we’ll get in touch, but you choose whether it’s right for you. That means working on engagements that genuinely build your portfolio and expand your expertise., • The freedom of contracting without the hidden admin, • You’re not left to navigate the freelance world alone. Our Agile Talent team helps you understand freelance regulation and connects you with people who broaden your thinking through our teams and clients., • Community you can actually feel We have a culture where talented people thrive – where high performance is not just expected but enabled. It’s a culture built on clarity, curiosity, and care. One that challenges us to aim higher, where we’re encouraged to make the most of an abundance of resources to fuel our own development, and where we support each other to grow, learn, and succeed. Our open and accessible culture means you’ll interact with leaders who are interested in you and everything you bring to our firm. The things that set you apart, we value them. That’s why we give you the freedom to bring your whole self to work and pursue your passions inside and outside of work. How to join We keep the process straightforward, because the real work happens once you’re here. • Submit your CV and basic details through our online application., • If there’s a match, a recruiter will reach out to discuss., • Meet key stakeholders for a focused conversation.

Technical Development Manager - London - £120k Please note - this role will require you to be UK based and work from the Central London office a minimum of three days per week. You must have the unrestricted right to work in the UK to be eligible for this role - this organisation is not able to offer sponsorship. The Opportunity A fast-growing London Market insurance and reinsurance broker is seeking a senior Development Manager / Technology Delivery Lead to play a central role in how technology is used to transform complex, large-scale broking. The business specialises in high-value, complex risks across areas such as aviation, property/casualty and reinsurance. Technology is not a support function here - it is core to competitive advantage. This role sits at the heart of that ambition. The business now needs someone tech-agnostic, commercially minded, and comfortable leading multiple streams of technical delivery in an environment that is increasingly shaped by AI and emerging technologies. The Role You'll operate at Development Manager level, owning delivery across a mixed internal and external engineering landscape. Your remit will span Salesforce teams, data and integration work, and newer AI-driven initiatives - ensuring consistent quality, pace and alignment with business priorities. Key responsibilities include: • Leading and coordinating internal and third-party development teams across multiple platforms, • Owning end-to-end delivery of technology initiatives, from concept through to production, • Acting as the bridge between business stakeholders and technical teams, • Driving modern engineering practices, tooling and ways of working, • Supporting the evolution of AI-enabled development approaches across the organisation Experience & background: • Proven experience as a Development Manager, Technology Manager, Head of Systems, or similar, • Strong background in insurance or financial services (London Market experience is a plus), • Experience managing both internal engineers and external delivery partners, • Cloud experience, with GCP strongly preferred, • Salesforce experience is beneficial, but not essential, • Exposure toAI-enabled development workflows, such as:, • Prompt engineering, • AI-assisted coding tools (e.g. Claude or similar), • Commercially aware and delivery-focused, • Comfortable working in fast-moving, ambiguous environments, • High standards, high integrity, and strong cultural alignment, • Confident influencing at senior stakeholder levelWhy Apply?, • A genuine opportunity to shape how technology is used within the London Market, • Significant autonomy and influence in a business that backs innovation, • Exposure to cutting-edge AI initiatives alongside core enterprise platforms, • Competitive senior-level compensation and bonus structure Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

About Us Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions. Role Description As an AI Developer at Finalto, you will build the automation layer that transforms how we work. You'll design and ship AI workflows that replace manual processes across the business — delivering faster execution, lower costs, and new capabilities. This is a high-ownership role with real visibility and impact. You'll take solutions from concept to production in weeks, not months. You'll also work directly with teams across the org to co-design solutions that stick, raising AI fluency as you go. Key Responsibilities • Design and build AI-powered workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation), • Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains, • Manage AI infrastructure and tool integrations (API gateways, MCPs, external services) with appropriate governance and access controls, • Design data pipelines and system architecture to support AI workflows at scale, working with databases and vector search solutions, • Gather requirements, understand pain points, and co-design solutions with business teams to translate operational problems into technical implementations, • Deploy solutions within enterprise environments (Azure, AWS, Databricks), with occasional ownership of monitoring and iteration, • Maintain code quality through testing, version control and CI/CD practices Requirements • 3+ years in software engineering or AI application development, with shipped production projects, • Proficiency in Python and SQL, • Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc.), • Experience designing and building end-to-end projects, ideally with personal AI projects that demonstrate passion for the space, • Strong problem-solving ability with a focus on real-world applications, • Experience with API integrations and building systems that connect multiple services, • Good communication skills and ability to work with non-technical stakeholders Desired Skills • Experience with RAG architectures and vector databases (e.g. Pinecone, FAISS, Azure AI Search), • Experience deploying applications on Azure, • Understanding of CI/CD and software engineering best practices, • Experience building workflow automation systems, • Familiarity with Databricks, • Exposure to financial services or trading environments Preferred Qualifications • Degree in STEM or related, • Demonstrated portfolio of AI or automation projects – We would love to see your Github, • Experience working in a fast-paced, delivery-focused environment

Job Description: This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works. Delivery & Architecture • Own end-to-end delivery of AI-native programs - from architecture through production deployment, • Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent, • Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets, • Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding & Development • Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools, • Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it, • Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use, • Debug non-deterministic agent outputs systematically - not by gut feel Client & Stakeholder Engagement • Translate business problems into agent architectures for global CXO-level stakeholders, • Run discovery workshops, solution reviews, and delivery cadences with client teams, • Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice • Mentor junior AI engineers; raise AI engineering quality across the delivery team, • Stay current: evaluate new models, frameworks, and tooling before the hype catches up, • Contribute to internal knowledge bases, reusable frameworks, and accelerators Skills Agent Orchestration LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone - knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini - prompt design, tool use Python / TypeScript Primary languages for agent + backend development LangSmith / Observability Tracing, evaluation, debugging agent runs Cloud Platforms Azure, AWS, GCP (at least one) - deployment, infra, managed services API & System Integration REST, gRPC, Kafka - enterprise integration patterns MCP / Shared Context Model Context Protocol, CLAUDE.md, Beads Agent Evaluation Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps Git, containers, pipelines - agents need to ship Client Communication Can present architecture to a CXO without jargon What You Must Have Actually Done Not just what you know. What you have shipped. • Deployed 2–3 agent-based systems in production - stateful, multi-step, real users, • Used LangGraph for multi-agent orchestration with memory, tool routing, and state management, • Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code, • Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation, • Integrated agents with real enterprise APIs - not just OpenAI playground or sample data, • Debugged a production agent failure - and fixed it without blaming the model, • Can articulate when NOT to use agents - that is how we know you have built things, • Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows), • Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale, • Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling, • QA/testing mindset for agents - systematic evaluation of non-deterministic outputs, • Background in IT services or consulting - managing client expectations while building, • Experience with SLMs, fine-tuning, or on-device/edge agent deployment

About governr governr is the control and accountability infra for AI in regulated enterprises - the system of record for a firm’s entire AI estate, with 24/7 risk exposure management and regulatory adherence. We were founded by operators who’ve built risk and control stacks for high frequency trading, volatility and tail-risk management applied to non-deterministic AI at scale. Our advisory panel includes formal global heads of capital markets, of risk management, of AI deployment and country level leadership of critical security infrastructures. We know business, risk and technology from the inside. The moment Every regulated firm on earth is required - by their board, their regulator, and their insurer - to prove they have control over their AI. Most cannot. The EU AI Act, the FCA’s PS26/2, FINRA, MAS, SEC, Freddie Mac, HIPAA, MHRA, MOD, DORA, GDPR 22, Consumer Duty, FRC, SMCR - every regulatory jurisdiction across industry segments demands this. Makes AI accountability personal. Insurers are pulling cover. This is the Wiz moment for AI - the control and context gap of AI turns into a category-defining platform. We have the business risk tailwind, the regulatory tailwind, the team and a 12-18 month technical lead built over years of work inside these firms. The window to define this category is open now, and it won’t be open for long. The product governr combines 60 AI-specific risk factors, 80+ agent-level controls, and 850+ regulatory mappings into a single control panel. Every AI system, model, agent, and supplier in a firm’s estate - risk managed, monitored, and auditable with an AI-native automation. It is the future language of how AI deployment, trust and risk is answerable in minutes, not months. It is the first and only platform purpose-built for the AI control problem regulated enterprises now face. Practical experience: • Worked in or around AI/ML teams in a delivery or assurance capacity. You may not have been necessarily a builder, but someone who has been close enough to data pipelines, model deployment, and API layers to understand what "done" looks like., • A background in technology risk, ML engineering, or technical consulting with AI exposure all work. Three to five years., • You'll have seen enough real AI estates to recognise what Gap and Weak actually look like in practice, because a lot of the value in a guidance engagement is pattern recognition: spotting that a firm's "data quality process" is actually just a Notion doc someone wrote once, or that their "rate limiting" is a single nginx config that nobody has reviewed. Specific things you would be able to do • Read and interpret a data pipeline well enough to identify where lineage tracking, PII scanning, or quality checks are missing., • Review model evaluation results and know whether HELM benchmarks have been run properly or just ticked off., • Assess whether an agent's system prompt actually enforces the iteration limits and tool restrictions the Baseline requires., • Look at an API auth setup and know whether OAuth2 has been implemented correctly or just partially. Identify whether logging is genuinely structured and centralised or just console output someone has called "logs.", • You don't need to build any of these things. If you do, that's a bonus. You need to know what a properly implemented version looks like versus a superficial one. Useful background • You've held a role that required reviewing or auditing technical AI or ML systems, not just advising on strategy., • You've written technical risk assessments or assurance reports that engineering teams found credible and useful, not just governance teams., • You are comfortable facilitating workshops with mixed technical and non-technical audiences. Familiar with at least one cloud provider's data and ML tooling stack well enough to know where common gaps appear. Some exposure to EU AI Act, GDPR, or NIST AI RMF is useful but not essential at Baseline., • Governance and policy - you may have written operational policies and procedures that actually got used, not just filed. Be it retention policy, Data protection impact assessments or an AI governance framework which went through legal or regulatory scrutiny and held up, • Background in technology governance, data protection, compliance, or risk management. What you get • Meaningful equity. A salary competitive for the stage., • Direct founder exposure: You will work closely with the people building the company and have a real seat at the table with senior industry leading AI, risk, data and technology practitioners and researchers in agentic, security management, context graphs, • Real responsibility early: This is a chance to take ownership, not just observe, • High-value customer exposure: You will interact with serious, senior stakeholders at important firms, • Career-building topic area: AI risk and governance is one of the defining enterprise issues of this era, • Front-row seat to building a category: You will see how a category gets built and business buildout, • Varied work: The role cuts across customer success, GTM, operations, and market-facing activity, so there is room to learn fast How to apply

Our client, Hesta Health, is reimagining women's healthcare starting with postnatal care. Women spend approximately 25% more of their lives in ill health than men, representing a $1 trillion annual lost opportunity globally. Hesta is changing that, and they want a brilliant engineer to help build it. Fresh from closing their seed round, they're hiring their first Founding Engineer. You'll be the technical backbone of the company — working directly with two exceptional co-founders and their founding team to ship Hesta v1 and lay the foundations for what comes next. The Role This is a rare chance to join a mission-driven healthtech startup at day zero and own the entire technical build. You'll work across the stack — frontend, backend, infrastructure — while embedding clinical-grade reliability, data privacy, and AI capabilities from the ground up. What you'll own: • Build end-to-end product features across the full stack (frontend, backend, infra), • Integrate AI/ML capabilities — risk stratification, smart triage, personalisation, • Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA), • Shape and evolve the architecture and technical foundations as the company scales, • Establish a lightweight QMS to enable audit-readiness and regulatory compliance, • Contribute to a fast, iterative product loop — design, ship, learn Who You Are Essential: • 5+ years in high-impact, early-stage product teams: you've shipped and scaled full stack products, • Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals, • ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow, • Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes), • Proven ability to build data-secure, privacy-compliant infrastructure, • Product-minded: you think in outcomes, not just code, • Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: • Experience in women's health, digital therapeutics, or regulated healthtech, • Deployed LLMs or predictive models in production environments, • Familiarity with FHIR, HL7, or secure health data pipelines, • Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package • Competitive salary + meaningful equity, • Work directly with and be mentored by two highly experienced co-founders, • Spacious office in Victoria (bike storage, changing facilities, good coffee), • 25 days annual leave + public holidays, • Immediate, company-defining impact — this is day zero Interview Process • Values & Competencies interview (1 hour, virtual), • Technical interview — 90 mins (45 min chat + 45 min live task), • Final 2-hour in-person interview with co-founders Hesta strongly encourages applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. Interested? Reach out to Kelly Gauthier () or George Alexander ()

About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change. We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis. You can find more on our service lines and examples of our work at canbury.io. About the role We are expanding our technology team to meet growing client demand. As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). You will work across all of it. We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production. Why this role is interesting • Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end., • AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints., • Technical breadth. Infrastructure, full-stack product work, and AI/data engineering all sit within the role., • Work that matters. Our clients steward trillions in assets. The tools you build shape how they assess companies on sustainability. What you'll do • Build and own infrastructure on Azure. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls., • Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables., • Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design., • Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices. As a small team, everyone wears multiple hats and the role will evolve with the business and with technological developments. What we're looking for • At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes., • Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code., • Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred)., • A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail., • Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop., • Pragmatism and ownership. We need people who can scope, build, deploy, and maintain, not just write code and hand it off. Practicalities • Location: London. Hybrid. We have an office in Farringdon., • Type: Full-time, permanent., • Salary: £40k-60k+ depending on experience., • Right to work: You must have the right to work in the UK. We are unable to sponsor visas at this stage.

Agentic Software Engineer | West London | Full-time | Hybrid (4 days onsite per week) Tech: AWS, Salesforce, Snowflake, Node.js, TypeScript, Python, React, GraphQL, Claude Code, Cursor, Copilot, Codex or similar agentic tools We're hiring on behalf of a growing EdTech customer, a globally active education organisation with a genuinely AI-Driven engineering culture. Their tech team doesn't sit on the side of the business. It's central to it. How they build, what they automate, and how they adopt AI feeds directly back into what they teach. It attracts engineers who care about more than shipping tickets. The role itself is one of the more forward-thinking briefs we've seen. You won't be writing code. You'll be directing the agents that do, building the scaffolding that lets them run unsupervised, designing the validation systems that tell you output is good without reviewing every line, and enabling multiple agents to work in parallel across real enterprise problems. This isn't about writing faster with Copilot. That's a speed boost. This is the next step, and they want someone already living on the other side of it. What the role involves: • Building agent scaffolding; context files, prompt architectures and skills that keep AI on track without constant intervention, • Designing verification systems for AI-generated code you didn't write or review, • Running parallel agent workstreams converging on shippable, tested output, • Working across a real enterprise stack: AWS, Salesforce, Snowflake, Node.js, TypeScript, Python, React, GraphQL, • Translating between stakeholders and agents; turning ideas into working product fast enough that iteration feels like a conversation What they're looking for: • 5+ years of software engineering experience — but your recent work looks fundamentally different, • You've used Claude Code, Cursor, Codex or similar agentic tools in production, not just demos, • You can write a spec an agent can execute without hand-holding, • You've thought seriously about how you verify AI-generated output you didn't produce yourself, • Strong communication across technical and non-technical stakeholders What would make you stand out: • You've built MCP servers, custom agent tooling, or agent skills, • You've implemented cost controls for token spend, • You can point to something non-trivial built primarily by agents under your direction Please apply now to learn more!

Founding Engineer | London | Up To £140,000 + Equity We’re working with a well-backed early-stage AI company building enterprise-grade generative AI systems for complex, high-value workflows. The team is small, technical, and moving fast - they’re now looking for a Founding AI Engineer to help shape both the product and engineering culture from the ground up. This is not a “maintain legacy systems” type role. You’ll be joining at the stage where architecture decisions still matter, product direction changes weekly, and exceptional engineers can have outsized impact. The focus of the role is GenAI systems engineering - designing, evaluating, and deploying LLM-powered products that operate reliably in production environments. What you’ll be doing • Building and improving LLM orchestration pipelines, • Designing prompt systems, evaluation frameworks, and feedback loops, • Working across retrieval, context management, agent workflows, and inference optimisation, • Deploying AI products into production with a strong focus on reliability and observability, • Collaborating closely with founders, product, and end users to rapidly iterate on features, • Helping establish engineering best practices, tooling, and technical direction early on What they’re looking for • Strong software engineering fundamentals, • Hands-on experience building with LLMs and modern AI tooling, • Experience shipping real products, not just prototypes, • Someone comfortable owning problems end-to-end rather than waiting for detailed specs, • Engineers already using AI-native development workflows., • Ability to move quickly without sacrificing engineering quality Experience across AI engineering, backend systems, data infrastructure, or scalable SaaS platforms is all relevant. The environment This suits someone who genuinely enjoys early-stage engineering. The pace is high, expectations are high, and there’s a strong bias toward ownership and execution. In return, you’ll get real influence over product, architecture, and technical culture from day one. Package • Up to £140k, • Meaningful equity, • Founding-level ownership and autonomy, • London-based, in-office collaboration If you’re interested in building production-grade GenAI systems in a genuinely high-calibre start-up environment, happy to discuss further.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of ___ with our state-of-the-art ___ technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including ___, ___, and ___., • Implementing and managing multi-API workflows using tools like ___ to ensure flexibility and resilience., • Building sophisticated ___ systems, leveraging advanced techniques like embeddings with ___, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using ___ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our ___ and user support., • Collaborating with our ___ development team to explore and build innovative ___. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and ___., • Expert-level proficiency in ___ and deep learning frameworks, particularly ___., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like ___., • Practical knowledge of ___, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in ___ and an understanding of object detection models like ___ is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and contribute to leading ___ software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

The Role You'll join the Pharosyn team as an early hire — shaping the product from the ground up. No programming or engineering experience required. • Product Roadmap: Directly shape what we build, in what order, and why — acting as the internal voice for life science users., • AI Engineering: Work closely with our engineering team to iterate on agentic AI system design and prompt engineering for life science research and reporting tasks including competitive landscaping of clinical trials, regulatory approvals and patent publications., • Benchmarking: Design evaluation processes to measure AI system performance against pharma enterprise requirements and expectations., • Strategic Partnership: Act as the bridge between top pharma companies and our engineering team, translating domain expertise into product decisions. You Must Have • Experience in life science commercial strategy, competitive intelligence, due diligence, equity research, or investment analysis (consulting, VC, or PE backgrounds all welcome), • Life sciences degree (undergraduate minimum) Preferred • 2+ years at pharma CI/strategy firms, VC, PE, or equity research experience covering pharma/biotech, • Hands-on experience using or building AI tools What We Offer • £70–100k salary depending on experience, • Meaningful founding equity, • Direct influence on product strategy and company direction, • Work alongside the CEO and CTO at a startup with paying enterprise customers

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

The job holder plays an important role in Technical Support team by providing daily technical support to distributors and sub-distributors (including: trouble shooting, technical training, product induction and promotion) to ensure. The job holder is expected to ensure satisfactory HIKVISON technical services and continuous optimization of HIKVISION products via collation of customers’ requirements or product quality issues and giving prompt feedback. · Sort out cases in relation to product problems and carry out internal case-sharing. · Provide Hikvision Software/Hardware training on operation, installation, commissioning and maintenance to distributors and sub-distributors. · Summarise product requirements in the regions, analyse and give feedback to R&D team of headquarters, promote optimization and upgrading of products and ensure regional market needs are met. · Collate product quality issues and give prompt feedback; escalate the issues to Technical Support or R&D team of headquarters in timely manner to improve the quality of products. · Provide promotion of new products to distributors and sub-distributors via training, roadshows, exhibitions, exhibition receptions, etc. · Provide product consultation, product selection service to distributors, sub-distributors. · Carry out other duties assigned by line manager. Knowledge Skills · Fluent in Microsoft Office applications including Excel, Word, and PowerPoint. · Fluent in English and Mandarin, both written and verbal. · Good communication skills and interpersonal skills · Network/IT basic knowledge. · From an Engineering or related degree discipline Competence · Ability to convey complex technologies and specifications. · Aptitude to quickly learn new technologies. · Excellent analytical and problem solving skills. · Detail oriented troubleshooting skills. · High flexible to work onsite or office and ready to travel on short notice. · An ability to work with diverse teams and team members (Product, Channel sales, etc.).

About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities • Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients., • Act as the primary technical point of contact during solution development and post-deployment optimization., • Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery., • Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic., • Collaborate closely with cross-functional teams internally and with customers to ensure solution success., • Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points., • Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation., • Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents., • Undergraduate, master’s degree or Phd in Computer Science or Data Science, • 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles., • Proven success building and deploying AI/ML or data-intensive applications in production., • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD)., • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc)., • Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI), • Knowledge of SLM Finetuning and Distillation is big advantage., • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage., • Ability to translate ambiguous customer needs into actionable engineering plans., • Strong leadership, mentoring, and project ownership abilities., • Excellent communication and collaboration across technical and business stakeholders.

The Role You'll join the Pharosyn team as an early hire — directly shaping the entire software stack. We are hiring founding engineers with different strengths; you are not expected to be senior across all three domains. AI Engineering -⁠ ⁠Prompt engineering and LLM orchestration -⁠ ⁠Building evaluation frameworks and feedback loops -⁠ ⁠Deploying and operating AI systems reliably in production Data Engineering -⁠ ⁠Ingesting data from heterogeneous sources (APIs, RSS, web scraping) -⁠ ⁠Data modelling, pipelines, and transformation -⁠ ⁠PostgreSQL, vector databases, and medallion-style layering (raw → cleaned → served) Enterprise Infrastructure -⁠ ⁠Multi-tenant SaaS architecture -⁠ ⁠Cloud deployment -⁠ ⁠Security, authentication flows, and production reliability You should demonstrate applied excellence in at least one of these areas, with demonstrated interest across multiple. Core Engineering Philosophy We care deeply about leverage as an engineering principle. We want you to help us build the system that builds the system: -⁠ ⁠The development environment, tooling, and workflows that let a small team move extremely fast without breaking production -⁠ ⁠Tight feedback loops between customer usage, observability, evaluation, and execution (tests, CI, code review) -⁠ ⁠Early architectural choices that scale to a $100m+ product with a lean team -⁠ ⁠Treating developer productivity, reliability, and iteration speed as first-class product concerns You Must -⁠ ⁠Have demonstrated ability to build and ship real products (e.g., shipped SaaS, production pipelines, open-source with users, meaningful side project, startup experience) - show us what you’ve made -⁠ ⁠Have strong core engineering fundamentals and the ability to learn new languages quickly (our current stack includes TypeScript/React, Python, and PostgreSQL) -⁠ ⁠Already use AI coding tools (e.g. Cursor, Claude Code, Copilot) to materially increase output -⁠ ⁠Thrive being given problems and architecting solutions, not waiting for project specs — you should be the best person you know at architecting brilliant solutions to customer problems -⁠ ⁠Bonus points for experience in healthcare, biotech or regulatory data We are primarily targeting exceptional early-career engineers and unusually strong senior engineers who want real ownership at the earliest stage What We Offer -⁠ ⁠£100–130k base salary as a baseline, with flexibility for candidates who bring exceptional depth in one of our core domains. For outstanding senior engineers with relevant experience building and deploying complex systems with enterprise customers, we are open to going meaningfully higher. -⁠ ⁠Meaningful equity — this is a true founding engineer role -⁠ ⁠Direct collaboration with the founders on product and strategy -⁠ ⁠Travel to the US to work onsite with enterprise clients -⁠ ⁠The chance to define the technical culture and architecture of the company from first principles Expectations This is an early-stage startup in a competitive market. The work is demanding and fast-moving: -⁠ ⁠High commitment - this is not a typical 9–6 role. The pace is intense and sustained effort is expected, especially around customer delivery and critical deadlines. -⁠ ⁠Present in the London office (in-person, not remote) -⁠ ⁠High autonomy, high accountability -⁠ ⁠Speed and quality - speed is essential, compromise when necessary but don’t hide behind speed as an excuse for poor quality Values -⁠ ⁠Operational excellence - Move fast, maintain high standards, and take responsibility for the outcome. -⁠ ⁠Ownership - If it’s in your orbit, you own it end-to-end. -⁠ ⁠Intellectual honesty - Say what you think, challenge ideas openly -⁠ ⁠Practical problem-solving - Find a way forward, use the right tools, and ask for help when needed. -⁠ ⁠Continual learning - Keep getting better, update your skills, and adapt as the problem space evolves and transfer those learnings into the product.

Founding AI Software Engineer | Global Media | London / Yorkshire | The Opportunity Join a newly formed AI team acting as an internal incubator for a highly established, global media and technology group. We are reinventing how we operate through the lens of artificial intelligence, building high-impact solutions across our portfolio of digital publishing, visual content, and data analytics brands. This role exists to bridge the gap between emerging AI research and tangible business value. We aren't interested in traditional, slow-moving development cycles; we are looking for a founding engineer to define what "AI-native" means for our entire organisation. You will be forward-deployed, working directly with business units to solve problems that others haven't even identified yet. This is your chance to move from concept to working prototype in days, leveraging the most advanced agentic tools to ship at unprecedented velocity. You'll enjoy the autonomy of a startup founder, backed by the resources, scale, and rich data of a heritage media institution. What You’ll Be Doing Core Engineering & Prototyping • Ship at Velocity: Build AI-powered solutions rapidly using AI-native development approaches, leveraging tools like Claude Code and agentic engineering techniques to build in hours what traditionally takes days., • Embedded Prototyping: Build rapid proof-of-concepts directly alongside business teams. Move from requirements to working demonstrations with astonishing speed using TypeScript, Node.js, and AWS., • Continuous Experimentation: Push technical boundaries by testing new models, techniques, and agentic approaches the day they are released., • Multiply Capabilities: Create APIs, integration patterns, and developer experiences that allow other engineering teams to leverage your AI capabilities seamlessly., • Establish Guardrails: Design and implement lightweight, pragmatic technical standards for responsible and ethical AI deployment without sacrificing development velocity., • Lead by Example: Establish AI-native engineering practices that accelerate the entire organisation, leading through demonstration and shipping working code rather than writing lengthy documentation. What We’re Looking For Essential Skills • Modern Engineering Depth: Senior-level expertise in TypeScript and Node.js with a proven ability to architect, deploy, and scale production systems in AWS cloud environments., • Advanced AI Fluency: Deep experience building agentic systems, implementing complex RAG architectures, and chaining multiple LLMs (OpenAI, Anthropic, etc.). You go far beyond basic API wrappers and understand context management, prompt engineering, and model behavior., • AI-Assisted Workflow: You already use AI coding assistants (Claude Code, Copilot, Cursor) to accelerate your own engineering workflow., • Rapid Iteration: Comfort operating at extreme velocity in ambiguous environments. You know intuitively when to hack together a messy prototype for learning versus when to build robustly for production scale., • Domain Context: Experience working in media, content licensing, data-intensive domains, or high-volume publishing., • Infrastructure Expertise: Deep understanding of modern cloud infrastructure, including containerisation, serverless architectures, and Infrastructure as Code (IaC)., • ML Intuition: A background in data science or ML engineering that provides intuition for embedding spaces, attention mechanisms, and evaluation methodologies., • Production Observability: Experience with monitoring and telemetry tooling to debug complex, multi-step AI agents in production., • Community Presence: Active contribution to open-source AI projects or a technical footprint demonstrating thought leadership in the AI engineering space.

About Gentek Gentek is an agentic AI company rebuilding the regulatory and operational reporting stack for global financial and energy markets. We replace the patchwork of manual checks, brittle scripts, and disparate frameworks that banks and energy firms rely on today with AI agents that reason about rules, reconcile data, and resolve exceptions end-to-end. We're trusted by leading organisations and we partner with infrastructure providers to bring agentic workflows financial institutions, and leading European energy brokers. About the Role As a Forward AI Engineer, at Gentek, you own client engagements end-to-end. You run the calls, scope the work, write the plan, and drive a technical team to deliver it. You are the day-to-day face of Gentek to clients. You don't have to write the code yourself but you understand AI well enough to shape solutions, challenge estimates, and translate client requirements. Core Responsibilities • Project Management: discovery, requirements, project plan, milestones, risks, and stakeholder alignment. You set the cadence and you are accountable to the client., • Client Engagement: Lead calls, workshops, and written communications in both languages. Turn ambiguous business needs into structured requirements and a deliverable plan., • Solution Shaping: Work with engineers to scope the full stack ie data, models, agent workflows, integrations, and user-facing outputs and make sure what gets built solves the client's problem., • Technical Fluency: Stay current on multi-agent systems, RAG, and modern AI frameworks enough to scope realistic engagements and hold credible technical conversations with clients and engineers., • PoC to Production: Drive the path from requirements through PoC to production, presenting progress and outcomes to internal and external stakeholders at each stage. Required Skills & Experience • Project Management: Track record running client-facing technical projects end-to-end ie scoping, planning, milestones, risks, and stakeholder communication. You own the plan with minimal oversight., • Fluent French (near-native): You can lead meetings, run workshops, and write deliverables in French., • AI Literacy: Working understanding of modern AI frameworks (LangChain, LangGraph, LlamaIndex), RAG, multi-agent architectures, and evaluation — enough to scope work, challenge estimates, and speak credibly with engineers and clients. You don't need to ship the code. Nice to have • Hands-on AI engineering experience: Python, prompt engineering, RAG, agent frameworks, evaluation. You won't be expected to build, but the more you can, the more credibility you carry into client conversations., • Hands-on Agentic Harness experience like Claude : API, Claude Code, or agentic workflows.Prior experience is a real differentiator., • Experience in financial or regulatory reporting domains (e.g. trade reporting, fund reporting, or market data workflows)., • Exposure to smaller, domain-specific models (SLMs), including fine-tuning and deployment., • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI services in production. Soft Skills • Stakeholder Management: Confident leading client conversations, managing expectations, surfacing risks early, and keeping multiple parties aligned across the lifecycle of a project., • Ownership: Willing to take full responsibility for outcomes in a fast-paced, delivery-focused environment., • Technical Diplomacy: Translate business needs into clear technical specifications and explain complex AI concepts to non-technical stakeholders., • Pragmatic Delivery: Balance speed and engineering quality, making sound trade-offs to deliver effective solutions under real constraints.

About us If you are looking to join an independent and impartial treasury and risk management consultancy, PMC is your solution. Established for over 34 years, we offer expert advice and practical solutions to financial sponsors and their portfolio companies globally – with offices in New York, London, Madrid and Singapore. We are at an early and exciting stage of embedding AI and data capabilities across the firm. This hire is central to that effort. The Role: We are looking for a commercially minded AI and data professional to help us understand, build and embed technology that creates tangible value for the business. This is not a purely technical role. We need someone who is as comfortable in a conversation with a client-facing team member about what they actually need, as they are building the solution. You will work across two main areas: developing AI-powered workflows and automations that improve how we work, and maintaining and extending our data infrastructure and reporting capabilities. Day to day this means identifying opportunities, building solutions using low-code and cloud tools, supporting adoption across the firm, and helping colleagues get more value from our technology. You will work closely with our existing tech and data personnel, and well as teams across the business and our office locations globally. Key Responsibilities Business Analysis and Opportunity Identification • Engage with teams across the firm to understand their workflows, and commercial goals, and translate these into data / automation opportunities, • Bring a commercial lens: focus on the value being created, not just the tool being built, • Build trusted relationships and act as a credible thought partner on AI and data AI and Automation Development • Design and build automation workflows using low-code platforms including n8n and Microsoft Power Platform, • Develop and deploy AI-powered applications leveraging large language models, including prompt engineering, evaluation, and production reliability, • Maintain and continuously improve existing automations as the firm grows, • Stay current with developments in AI tooling and bring relevant innovations into the business in a practical, considered way Data Infrastructure and Reporting • Help maintain and extend our Snowflake-based data lake, supporting data quality and accessibility across the business, • Build and maintain Power BI dashboards and reports that drive commercial decision-making across service lines and geographies, • Support ongoing data documentation and governance so teams can trust and effectively use the data available to them Rollout, Adoption and Training • Support successful rollout of new tools and capabilities, working with teams to embed them into day-to-day workflows, • Run training sessions and create practical guides that enable colleagues at all technical levels to get genuine value from AI and data tools, • Act as an internal champion for data literacy and responsible AI use across the firm Skills and Experience Technical • Hands-on experience working with large language models and building AI-powered applications, including prompt engineering and evaluation, • Experience with low-code workflow automation platforms, ideally n8n and/or Microsoft Power Platform / Power Automate, • Proficiency building Power BI dashboards and reports for business stakeholders, • Bonus - Working knowledge of Python for scripting, data handling, or API integration, • Bonus - Experience with Snowflake as a cloud data platform Professional • A commercial mindset: you think about business value first, technology second, • Strong communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and senior stakeholders, • Structured, organised approach to running projects with the ability to manage multiple workstreams without losing sight of priorities, • Background in professional services, consulting, or an internal enablement function would be a strong advantage, • Self-starter who is comfortable operating with meaningful autonomy in a fast-moving environment What else you need to know: This role is based at our offices in London We want our people to thrive at work, deliver the best solutions for our clients and support each other's development. Our office-based approach fosters a highly collaborative and high-performing environment where learning and growth are accelerated. Creating a Place for Everyone At PMC Treasury we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make PMC Treasury a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people. What to do next: If this sounds like a role you’re interested in, then please apply. If there’s anything we can do in the recruitment process to help you achieve your best, get in touch. Whether it’s a copy of our application form in another format or additional assistance, we’re available through email. You can contact us at

The Role: AI Engineer We are looking for top tier engineers to support us in building AI products. You will lead the development of algorithms that push the limirs of what is possible with LLMs. What You’ll Own • Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents., • SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D., • Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy., • Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. We are the fastest-growing startup transforming the legal landscape. Our AI platform manages everything from invention harvesting to patent generation. • Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques)., • Impact: Users report 50-90% efficiency improvements., • Backing: Recently featured in___ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Must-Haves • Expert Python Skills: Deep experience building and shipping AI solutions., • Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments., • LLM Mastery: Practical experience with prompt engineering and modern LLM architectures., • Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React)., • Clear Communication: Ability to articulate complex technical decisions clearly.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

Python Engineer (AI / LLM Focus) London (Hybrid) | 🚀 Fintech Scale-Up We’re partnering with a fast-growing fintech company in London that’s redefining how financial data is leveraged through cutting-edge AI. They’re now looking for a Python Engineer with strong experience in AI and Large Language Models (LLMs) to help build intelligent, scalable products used by thousands of customers. This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production. What you’ll be doing: • Designing and building scalable backend systems using Python, • Developing and integrating LLM-powered features into core products, • Working with modern AI frameworks (e.g. OpenAI, LangChain, Hugging Face), • Collaborating with data scientists to productionise models, • Improving system performance, reliability, and scalability, • Contributing to architectural decisions in a growing engineering team What they’re looking for: • Strong experience with Python in a production environment, • Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.), • Experience building APIs and backend services, • Solid understanding of cloud platforms, • Ability to work in a fast-paced, product-driven environment Why join? • Work on genuinely impactful AI products in fintech, • Strong engineering culture with a focus on innovation, • Backed by top-tier investors, • Competitive salary + meaningful equity, • Flexible hybrid working in London

Contract Senior Software Engineer (Java or Python) | Inside IR35 Contract length: 6 months (with potential to extend) Location: London Working Environment: On-site You will be joining a private equity firm as a senior software engineer, to work across the following responsibilities: • Develop and support P&L, accounting, and returns-calculation applications across trading books, • Build and extend our Client Reporting Framework, • Add instrument and asset class coverage in our Trade Repository system, • Manage data exchange with third-party vendors via SFTP and AWS S3, • Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability, • Collaborate with quant researchers and traders to translate complex financial requirements into auditable, production-grade code, • 8+ years commercial experience in Python or Java across the full development lifecycle, • 5+ years in financial services (buy-side strongly preferred), • Solid relational database skills; MS SQL Server a strong plus, • Snowflake experience required, • Familiarity with AWS (S3, Lambda, EC2, Glue or similar), • Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog)AI & Tooling:, • Proven, hands-on experience shipping production code using AI coding assistants such as Claude, Cursor, or GitHub Copilot, • Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task, • Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracyDesirable, but no essential:, • Experience with Apache Airflow or similar workflow schedulers, • REST or GraphQL API design experience, • Knowledge of fixed income, FX, or derivatives products and associated P&L/risk methodologies

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Responsibilities • Global Al Client Acquisition: Scale outreach to global Al clients, including Al-native startups, ISVs, Al data providers, and enterprises undergoing Al transformation, to build a high-conversion sales pipeline., • Al Revenue Ownership: Own the full lifecycle of Al Maas opportunities in international markets, from lead generation and qualification to solution design, commercial negotiation, and deal closure, driving growth in token consumption and revenue., • Market & GTM Strategy Support: Track GenAl trends (foundation models, agents, Al infrastructure, and competitor moves); translate customer insights into tailored solutions and support GTM strategy with product and marketing teams., • Strategic Account Management: Build trusted relationships with C-level and technical decision-makers at global AI-focused companies to ensure satisfaction, retention, and expansion., • Al Use Case Co-Creation: Understand clients' Al goals and business challenges; through deep dialogue and industry insight, jointly identify high-value Al opportunities, • Communicate the value of Alibaba Cloud's large models in the client's language, co-design practical solutions, and validate them to drive real business impact., • Bachelor's degree or above. Maior preferred in Computer Science. Al. Data Science. Business or related fields: Master's or MBA preferred., • 3+ years of experience in sales, pre-sales, technical, or product operations in AI, cloud, or software, with proven results. Experience at Al-native companies or major cloud providers is a plus., • Al MaaS Sales Expertise:, • Actively uses leading LLMs and multimodal models in daily work; stays current on model evolution, agent frameworks, and industry trends. Familiarity with prompt engineering and "vibe coding" is a plus., • Deep understanding of Maas business models and the ability to articulate value clearly; knowledgeable about GenAl market dynamics and vertical-specific use cases., • Proven ability to guide clients from POC to production, covering discovery, solution fit, pricing, and contracting, while collaborating with solution architects and product teams, • Cloud Experience: Familiar with cloud and AI infrastructure products (e.g., servers, GPU, MaaS, RAG, Agents); hands-on experience in cloud sales, business consulting, and operations., • Mindset: Fast learner, customer-obsessed, results-driven, self-motivated, and passionate about Al innovation in fast-paced environments., • Business Acumen: Understands the token-based business model and can leverage Alibaba's products to help customers scale their businesses., • Global Collaboration: Fluent in English with the ability to communicate with diverse clients, comfortable with international travel and cross-time-zone teamwork.

1. Support Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support., 2. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in international markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth., 3. Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development., 4. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention., 5. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events. Qualifications 1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors., 2. Availability: Minimum 3 days per week on-site, able to commit to at least 3 months of internship., 3. AI Awareness & Interest: -Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends. -Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus. -Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred. 4. Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly., 5. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments., 6. Global Communication: Fluent in English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Chinese is a plus.

Company Description BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members' high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity. 🧠 Technical Co-Founder / CTO — BLACKLINE Overview BLACKLINE is a private, invite-only membership across London focused on health, beauty, and personal care. We are building a concierge layer powered by AI — designed to handle booking, coordination, and member preferences across messaging and voice, with the standard and discretion expected of a private members’ network. This is not a typical startup role. We are building infrastructure for experience, not a product for scale. ⸻ What You’ll Build You will architect and ship the BLACKLINE Concierge Agent, operating across: 1. WhatsApp (Primary Interface) • Natural conversation handling (LLM-driven), • Booking coordination with providers, • Memory of member preferences, • Context-aware responses (time, location, history) 2. Voice (Phone Concierge) • Real-time conversational agent, • Natural, human-like voice (e.g. ElevenLabs or equivalent), • Call handling (inbound + outbound), • Seamless escalation to human when required 3. Backend Intelligence Layer • User profiles + preference memory, • Provider availability + scheduling logic, • Workflow orchestration (requests → bookings → confirmations), • CRM integration ⸻ Core Responsibilities • Design and build the end-to-end AI concierge system, • Select and integrate LLMs, voice models, and orchestration frameworks, • Build WhatsApp automation (e.g. via Twilio, Meta APIs, or equivalent), • Implement real-time voice pipeline (speech-to-text → reasoning → text-to-speech), • Ensure low latency and high reliability, • Maintain strict data privacy and security standards, • Define architecture that scales without degrading experience ⸻ Technical Requirements You should have strong hands-on experience in: AI / LLM Systems • Prompt engineering + agent design, • Tool use / function calling, • Memory systems (vector DBs, session memory), • Multi-step workflow orchestration Voice Systems • Real-time speech pipelines (STT / TTS), • Latency optimisation for conversational flow, • Experience with providers like ElevenLabs or similar Messaging Infrastructure • WhatsApp API integrations, • Event-driven systems, • Webhooks and async processing Backend Engineering • Node.js / Python (preferred), • API design, • Database design (relational + vector), • Cloud infrastructure (AWS / GCP) ⸻ What We Care About (More Than Stack) • You ship fast — not just design systems, • You understand user experience in conversation, not just code, • You can balance automation vs human touch, • You care about detail, tone, and discretion This is not: • a chatbot, • a support tool, • a generic AI assistant It must feel like: 👉 a private concierge that already knows the member ⸻ Nice to Have • Experience building AI agents in production, • Experience with booking / scheduling systems, • Familiarity with CRM tools (HubSpot, custom pipelines), • Background in high-end consumer or service experiences ⸻ Stage & Commitment • Early-stage / pre-scale, • Building MVP → live concierge → refined system, • Equity-based co-founder role, • London-based preferred (not mandatory) ⸻ What Success Looks Like • A member can message or call BLACKLINE, • Make a request in natural language, • Have it handled seamlessly end-to-end No friction. No repetition. No drop in standard. ⸻ Why This Matters Most AI products optimise for efficiency. We’re optimising for: • trust, • consistency, • experience If you get this right, you’re not building a feature — • you’re building the operating system of the brand.

Your Responsibilities: • Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines., • AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions., • Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack., • Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions., • Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment. Essential skills/knowledge/experience: • Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK)., • Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation., • Hands-on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph)., • Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes)., • Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services., • Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems., • Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (eg, Pinecone, Weaviate, FAISS)., • Proven experience in full stack development and AI/ML system implementation within enterprise environments., • Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design., • Excellent communication and stakeholder management skills., • Experience working on client proposals and leading technical presentations.

Centuro Global simplifies business travel and immigration with expert legal support and award-winning technology. Leading companies in over 170 countries choose us over legacy providers for our speed, transparency, and ability to handle complex requirements. 🌍✈️ About the role: We are looking for someone to raise the standard of the entire client services function. At Centuro Global, we operate in a fast-moving, complex, global environment across visa and immigration, expansion and technology. Our client services team sits at the core of this. This role is for someone who can: 🏆 Build high-performing teams ⚡ Drive accountability and speed ⚙️ Improve how we operate using systems, tools, and technology 🚀 Turn good people into exceptional operators What you’ll be responsible for: • Leading and developing a client services team across multiple markets, • Driving performance across response times, client satisfaction, and delivery quality, • Embedding a culture of ownership, speed, and commercial awareness, • Identifying inefficiencies and improving workflows using tools and technology, • Coaching team members on communication, client handling, and escalation management, • Implementing structured training and development programmes, • Creating visibility across performance (metrics, reporting, accountability), • Working closely with leadership to continuously raise standards Technology, AI & execution mindset (Critical for success) 🛠️ This is not a traditional operations role. We are looking for someone who thinks in systems, leverages AI instinctively, and operates at a pace that outperforms the norm. You should: • Naturally look for ways to automate, streamline, and remove manual work using AI and modern tools, • Be obsessed with speed and efficiency — you don’t wait, you execute and iterate quickly, • Constantly ask: “How can this be done faster, better, or at scale?”, • Be confident implementing and experimenting with AI tools (e.g. workflow automation, prompt engineering, process optimisation) to improve team output, • Have a mindset of continuous optimisation, not maintenance — you upgrade systems, not just manage them, • Be comfortable making decisions with imperfect information and driving rapid change without over-analysis What this role really is: • A performance transformation role, • A people + systems role, • A hands-on leadership position, • A technology-enabled execution role You will be expected to: • Challenge existing behaviours, • Introduce better ways of working, • Drive change quickly What we are really looking for is someone who has experience managing teams in a client-facing environment (legal, immigration, relocation, EOR, or similar). You must have a proven track record of improving team performance and delivery standards as well as experience working with enterprise or complex clients. But more importantly, you are someone who: • Naturally holds high standards and does not accept “average”, • Knows how to motivate, challenge, and develop people, • Is structured, organised, and operationally strong, • Uses tools, systems, and technology to improve performance, • Communicates clearly and confidently at all levels, • Is proactive and solution-oriented What will make you stand out: • You’ve transformed or significantly improved a team’s performance, • You’ve implemented systems or tools that increased efficiency, • You are comfortable using AI or modern tools to improve workflows, • You combine empathy with accountability (you can support and challenge), • You move fast and create momentum What you’ll get: • The opportunity to shape and lead a critical function, • Direct impact on client experience and business performance, • A fast-moving, ambitious environment, • The ability to build and develop a high-performing team, • Real ownership and visibility Apply now - send your CV and a short cover letter to . ✉️

IN HOUSE COMMERCIAL AND CONSTRUCTION LAWYER – ENERGY & POWER LONDON HYBRID WORKING – 3 DAYS PER WEEK IN OFFICE; 2 DAYS FROM HOME PERMANENT ROLE Role Overview: Morgan Philips Specialist Recruitment are presently representing a fast growing, UK based owner, operator and developer of energy assets in their search for an In House Lawyer. The successful candidate will be responsible for advising on project development, construction, commercial, procurement and operational matters for energy & infrastructure projects. Our client’s legal team legal team works closely with the commercial, technical and finance teams to provide high quality, business focused advice and support. Their in house lawyers play an active part in key commercial decision making and risk management. This role will focus on supporting the legal team in all activities related to the development and commercial management of power projects. This will involve working closely with the project development, engineering and procurement teams and external stakeholders. Key Accountabilities: • Advising project and execution teams on legal and commercial issues and risks arising through the whole lifecycle of renewable and conventional energy projects;, • Advising, independently and in conjunction with senior lawyers and/or external counsel, on a range of contracts with local and international counterparties related to the construction, project development and commercial operation of our assets;, • Drafting and negotiating standard form and bespoke contracts for the procurement of assets and services;, • Advising on the acquisition of renewable and conventional energy assets, businesses, and development opportunities;, • Working closely with and advising the commercial and financial specialists within the team in negotiations and assisting prompt decision-making among key stakeholders;, • Assessing project risks and risk management strategies and presenting these to directors and senior team members;, • Providing proactive legal support to commercial and operations teams on projects that are in-contract and completed and assist monitoring of on-going performance to enable the business to anticipate issues and manage risks that may arise;, • Ensuring that projects and transactions comply with all relevant corporate and regulatory requirements;, • Reviewing or performing legal due diligence where required;, • Ensuring ongoing compliance with responsibilities under law and regulation;, • Instructing, liaising with, and working alongside external legal counsel where required, including managing such external legal counsel to ensure that costs are minimised and delivered on budget; and About You: • UK qualified Solicitor with 3-6 years post qualification experience either in private practice or In House, • Previous experience within the energy or infrastructure sectors, • Experience drafting and negotiating key commercial, construction and/or procurement contracts, • Experience of advising on and managing disputes within the infrastructure or energy sectors would be desirable although not essential.

Senior Agentic & Generative AI Consultant Location London, United Kingdom (Hybrid) Role Overview We are seeking a Senior Agentic & Generative AI Consultant who is a recognized thought leader and hands on practitioner in modern AI systems. This individual will play a pivotal role in shaping AI led transformation for enterprise clients, leading complex deals, architecting solutions, and translating cutting edge AI capabilities into measurable business outcomes. This role requires a rare combination of deep technical expertise, strategic thinking, and client facing leadership. The successful candidate will work closely with business leaders, architects, and delivery teams to design and deliver agentic, generative, and enterprise scale AI solutions, while also influencing AI strategy and go to market motions. Key Responsibilities AI Strategy & Thought Leadership • Act as a senior thought leader in Agentic AI and Generative AI, shaping client conversations, executive briefings, and AI transformation roadmaps, • Advise C suite and senior stakeholders on AI strategy, operating models, governance, and responsible AI adoption, • Contribute to internal AI points of view, reference architectures, accelerators, and best practices, • Stay ahead of industry trends in agentic systems, foundation models, orchestration frameworks, and enterprise AI platforms Deal Leadership & Solutioning • Lead AI led deal pursuits, including opportunity shaping, solution design, estimations, and executive presentations, • Own the end to end solution architecture for complex AI engagements, from discovery through implementation, • Partner with sales, industry leaders, and delivery teams to craft compelling AI value propositions and business cases, • Act as a trusted advisor during client evaluations, PoCs, and pilots Hands on Technical Leadership • Design and guide the implementation of Agentic AI systems, including: o Multi agent architectures o Tool using and reasoning agents o Human in the loop workflows o Orchestration and memory patterns • Lead solution design using Generative AI and LLM ecosystems, including: o Prompt engineering and prompt pipelines o RAG (Retrieval Augmented Generation) architectures o Model fine tuning and evaluation strategies • Provide technical oversight and mentoring to engineering and data science teams Enterprise AI Delivery & Governance • Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms), • Ensure solutions align with security, compliance, data privacy, and responsible AI principles, • Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability Required Skills & Experience Core Experience • 15+ years of experience in technology consulting, digital transformation, or advanced analytics, • 5+ years of hands on experience in AI / ML, with strong recent focus on Generative AI and Agentic AI, • Proven experience leading complex enterprise deals and large scale solutioning efforts Technical Expertise • Strong hands on experience with: o Large Language Models (LLMs) and GenAI platforms o Agentic frameworks and orchestration patterns o RAG pipelines, vector databases, and embeddings • Experience across major AI ecosystems (e.g., cloud AI platforms, open source LLM tooling), • Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills • Strong client facing presence, capable of leading executive level discussions, • Ability to translate complex AI concepts into clear business value narratives, • Experience mentoring senior architects, engineers, and consultants, • Comfortable operating in ambiguous, fast evolving AI landscapes Nice to Have • Experience with enterprise platforms (e.g., ERP, digital experience platforms, CRM, or industry specific systems), • Exposure to regulated industries (financial services, healthcare, public sector, etc.), • Publications, speaking engagements, or visible contributions to the AI community, • Experience shaping AI Centers of Excellence (CoEs) or enterprise AI operating models What We Offer • Opportunity to shape and lead AI transformation for global enterprises, • Work at the forefront of Agentic and Generative AI innovation, • High impact role with visibility across senior leadership and marquee clients, • Competitive compensation and benefits, • Flexible working model based in London

Applied AI Solution Engineer £80,000-£120,000 + Benefits Depending on Experience London with Flexible Working Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the world’s leading AI technologies? Our client helps enterprises harness the power of Generative AI—from crafting meaningful strategies to deploying production-ready AI solutions. As a Applied AI Solution Engineer, you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributed systems, and LLMs ✅ Shape AI strategy, mentor engineers, and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we’re looking for: enterprise software development experience A track record of delivering scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both technical and non-technical stakeholders Team Leadership & Mentorship – Can guide teams, translate high-level ideas into action plans, and drive innovation

Role: Machine Learning Specialist Location: Central London (2 Days per week) Daily Rate: Up to £725 Per Day (Inside IR35) Duration: 6 Months Lumora Solutions is seeking a Machine Learning Specialist for a 6-month rolling contract with a global consultancy operating inside IR35. The role involves building AI models, agentic systems, RAG pipelines, and automated ML workflows while collaborating with cross-functional teams to deliver production-ready AI applications. What you will be doing: • Build and deploy AI/ML and Generative AI solutions, including LLMs, RAG, and agentic AI systems., • Develop data pipelines, automate ML workflows, and manage cloud-based MLOps infrastructure., • Fine-tune LLMs using prompt engineering, vector databases, and PEFT methods., • Monitor and optimize AI models for performance, scalability, and reliability., • Collaborate with technical and business teams to deliver AI solutions. What you will bring: • Strong experience in AI/ML engineering, MLOps, and LLM application development., • Advanced Python skills with hands-on experience using PyTorch or TensorFlow., • Experience building RAG pipelines, working with vector databases, prompt engineering, and LLM fine-tuning., • Knowledge of cloud platforms, Docker, Kubernetes, CI/CD, and automation tools., • Understanding of Responsible AI, model monitoring, and governance best practices., • Strong problem-solving, communication, and collaboration skills.