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hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. \n ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations. \n We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers. \n Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. \n We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.\n, • 3 years of experience in software development, ML engineering, or ML research.\n, • Experience working with research teams.\n\n Preferred qualifications: \n\n • Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.\n, • Experience with training large models (e.g., supervised finetuning, RLHF).\n\n Responsibilities: \n\n • Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.\n, • Develop adversarially robust AGI control systems and implement them in production.\n, • Research interpretability techniques to understand what AI systems are ‘thinking’.\n, • Work with product teams to ensure that our research is correctly adopted.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a GE Activation Lead, you will serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud’s accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment of AI agents and workflows. \n In this role, you will lead the GE Accelerator efforts, acting as the bridge between Google’s AI product roadmap and partner field execution. By arming partners with technical architecture and programmatic, you will help customers move beyond pilot phases into full-scale production-grade deployments that meet the standards of operational impact. \n Minimum qualifications: \n\n • Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent technical field.\n, • \n 10 years of experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. \n • Experience leading, coordinating, or architecting AI/ML technical transformations.\n, • Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles.\n\n Preferred qualifications: \n\n • Master’s degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background.\n, • Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI.\n, • Ability to navigate complex co-investment models and milestone-based incentive agreements that align partner business with actual customer ROI.\n, • Ability to view the partner ecosystem as a product, constantly iterating on feedback loops between funding, partner capabilities, and customer success.\n\n Responsibilities: \n\n • Manage the end-to-end activation model, guiding partners through stages from value establishment to active transformation. Manage partner performance using a 5-KPI scorecard focusing on the number of deployments, WAU alignment, partner headcount with GE seats, practitioner delivery experience, and pipeline health.\n, • Oversee the deployment and continuous improvement of the activation library, including technical assets such as ROI calculators, business cases, and workshops designed to help partners activate seats and prove customer value.\n, • Facilitate coordination between Customer Account Leads (CALs), Customer Engineers (CEs), Professional Services (PSO), and partner engineers to troubleshoot technical blockers and maintain a clear log of product issues for feedback to engineering.\n, • Identify customer solutions and transform them into repeatable Ecosystem Playbooks. Translate successful partner-led transformations into global design patterns \n

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Senior Data Scientist I \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job Responsibilities \n\n • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n, • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.\n, • Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods\n, • \n Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments \n • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities , and skills: \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n\n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\n, • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field.\n, • Experience building and deploying agentic AI applications in production environments.\n, • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\n, • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\n, • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.\n, • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\n, • Familiarity with cloud platforms and containerization technologies.\n, • Strong problem-solving skills and ability to work independently and collaboratively.\n, • Effective communication skills for technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in financial services, especially investment banking operations.\n, • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\n, • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Hands-on experience with AWS services related to AI deployment and workflow orchestration.\n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Position: Senior Forward Deployed Engineer \n Location: London or Amsterdam, 3 days a week in office \n The Role: \n We're looking for a technically sharp, product-minded engineer to help push the frontier of AI across Just Eat Takeaway. You'll work with some of our most ambitious internal teams and technology partners - helping them get the most out of advanced AI, and turning those learnings into durable improvements across our organisation. \n This is a builder role. You'll dig into complex workflows, identify the gaps that matter, and translate them into concrete technical insights that shape how we build. If you're as comfortable debugging a live workflow as you are designing an evaluation framework or presenting findings to a non-technical audience, you'll fit right in. \n Key Responsibilities: \n\n • \n Work directly with internal teams and strategic partners to understand critical workflows, uncover failure modes, and identify the highest-impact opportunities for AI improvement. \n • \n Prototype and iterate on prompts, agents, and workflow designs to understand system behaviour and unlock real value - not just theoretical improvements. \n • \n Synthesise findings for our Product Engineering and Platform teams, turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artefacts that improve product and platform quality. \n • \n Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases - not just one-off fixes. \n • \n Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement. \n • \n Build relationships across our engineering and product communities, serving as a trusted technical partner to individuals and teams alike. \n\n These are some of the key components to the position: \n You'll thrive here if you have strong software engineering and AI fundamentals - whether that's from experience in a startup, or a product focused role in a larger org. Software engineer, ML engineer, data scientist, or equivalent. Product Managers, BAs or Technical Programme Managers keen to return to a builder role. A track record of shipping production systems end-to-end is a strong plus. \n What will you bring to the team? \n\n • \n Experience building AI applications, agents, or evaluation systems, with the ability to reason clearly about model behaviour in complex workflows. \n • \n Comfort working directly with highly experienced functional SMEs and translating their challenges into concrete technical signals. \n • \n Fluency moving between prototyping, debugging, evaluation design, and cross-functional collaboration - sometimes all in the same day. \n • \n Working across every layer of the stack - Able to switch between configuring a connector in an admin panel to prompting an agent to contribute code back to our underlying platform. \n • \n Clear communication across technical and non-technical audiences - you can explain what you found and why it matters. \n • \n High agency and a strong product sense, with a bias toward building things that last rather than one-off fixes. \n • \n AI First problem solving, deeply experienced with AI tools to drive fast solution creation, able to balance model usage to maximise ROI, everything from coding to design and more. \n • \n Bonus: Familiarity with complex market place businesses. Experience as an early-stage startup engineer or in a previous FDE style role. None of these is a dealbreaker - we're more interested in how you think than what you've already shipped. \n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n Are you ready to take your seat? Apply now! \n #LI-CA1

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Data Scientist III \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to the employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results \n . \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

ServiceNow Developer \n Salary: Up to £85,000 + BenefitsLocation: Hybrid (UK - office, client site and home working)Security Requirements:Active SC Clearance and Sole UK Nationality are essential for this role. \n The Opportunity \n We are looking for an experienced ServiceNow Developer to join a growing technology team delivering innovative ServiceNow solutions across enterprise environments. This is an exciting opportunity to work on a combination of project delivery and platform enhancement, helping to improve business processes, automate workflows and enhance the end-user experience. \n Working alongside technical specialists and automation teams, you will play a key role in designing, developing and optimising ServiceNow solutions with a particular focus on Virtual Agent and intelligent automation. \n Key Responsibilities \n\n • Design, develop and maintain ServiceNow applications, modules and integrations.\n, • Configure and enhance ServiceNow Virtual Agent capabilities.\n, • Develop and support workflow automation using RPA technologies.\n, • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable technical solutions.\n, • Optimise platform performance, troubleshoot issues and ensure high availability.\n, • Contribute to the continuous improvement of the ServiceNow platform and development standards.\n\n Essential Skills & Experience \n\n • Proven experience developing and customising the ServiceNow platform.\n, • Strong knowledge of ServiceNow workflows, scripting and integrations.\n, • Experience with ServiceNow Virtual Agent and/or Robotic Process Automation (RPA).\n, • Strong JavaScript development skills.\n, • Excellent analytical and problem-solving abilities.\n, • Strong communication skills with the ability to work collaboratively across technical and business teams.\n\n Essential Requirements \n Applicants must meet the following criteria: \n\n • Active SC (Security Check) Clearance.\n, • Sole UK National (dual nationality cannot be considered for this position).\n, • Eligible to work on secure UK Government programmes.\n, • Able to work in a hybrid environment, including client sites and UK offices as required.\n\n What's on Offer \n\n • Salary up to £85,000.\n, • Hybrid working model with flexibility.\n, • Opportunity to work on complex, high-profile programmes.\n, • Ongoing training and professional development.\n, • Collaborative and supportive technical environment.\n, • Excellent career progression opportunities.\n\n If you're a skilled ServiceNow Developer looking to work on secure, business-critical projects while continuing to develop your expertise, we'd love to hear from you. \n

\n GCP AI Infrastructure & Cloud Engineer Role - London - £90-115k \n Location: Hybrid - 3-4 days per week in the London officeSalary: £90,000 - £115,000 + benefitsSponsorship: Applications welcome from candidates requiring sponsorship, provided you are currently living and working in the UK. \n A leading financial services organisation is seeking an experienced GCP AI Infrastructure & Cloud Engineer to join its growing AI function. This is a fantastic opportunity to play a critical role in building, managing and optimising the secure cloud environments that underpin a rapidly expanding AI portfolio. \n Working as part of a specialist AI Cloud & Environments team, you will be responsible for ensuring AI developers, innovation teams and technology partners have access to scalable, compliant and highly available environments that enable the delivery of cutting-edge AI solutions. This role combines cloud engineering, platform operations, AI infrastructure and governance, making it ideal for someone who wants to be at the forefront of enterprise AI adoption. The Role\n As the AI Infrastructure & Cloud Engineer, you will take ownership of AI-specific cloud environments across development, testing and production, ensuring they remain secure, well-governed and operationally efficient. \n You will work closely with AI, infrastructure, security and compliance teams to deliver robust cloud platforms that support model hosting, vector databases, AI integrations and LLMOps capabilities. Key Responsibilities\n\n • Build, manage and maintain AI cloud environments across Google Cloud Platform (GCP) and Microsoft Azure.\n, • Support AI development, testing and production workloads including model hosting, vector databases and API gateway services.\n, • Implement and operate LLMOps tooling, including model registries, evaluation frameworks, monitoring pipelines and prompt management solutions.\n, • Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors.\n, • Provision and maintain sandbox and staging environments to support rapid AI development and experimentation.\n, • Work closely with Information Security and Compliance teams to ensure environments meet regulatory, governance and data residency requirements.\n, • Support incident management activities and maintain service levels across the AI platform.\n, • Own cloud cost governance, including budgets, quota management, spend monitoring and optimisation initiatives.\n, • Produce and maintain infrastructure documentation, runbooks and operational knowledge articles.\n, • Identify, remediate and manage security vulnerabilities and compliance risks across cloud platforms.\n, • Contribute to the wider infrastructure and platform engineering function as required.\nAbout You\n We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments. Essential Experience\n\n • Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such as Vertex AI, Gemini Enterprise and Gemini Agent Platform.\n, • Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID.\n, • Practical experience supporting AI/ML infrastructure, including:\n \n, • Vector databases\n, • Model hosting solutions\n, • Serverless inference\n, • Containerised AI workloads\n, • Model versioning and evaluation pipelines\n \n, • Experience configuring and securing API gateways and AI integration services.\n, • Understanding of MCP (Model Context Protocol) and modern AI connector architectures.\n, • Strong Infrastructure-as-Code experience using Terraform.\n, • Experience working with CI/CD pipelines, Azure DevOps and GitOps methodologies.\n, • Strong cloud cost management and optimisation experience.\n, • Scripting and automation skills using Python and/or PowerShell.\n, • Experience with Graph API and cloud automation tooling.\n, • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.\nWhy Apply?\n\n, • Be part of a high-profile enterprise AI transformation programme.\n, • Work with the latest AI, cloud and LLMOps technologies.\n, • Join a collaborative, forward-thinking technology team within financial services.\n, • Competitive salary of £90,000-£115,000 plus an attractive benefits package.\n, • Hybrid working model with 3-4 days per week in the office.\n, • Sponsorship available for candidates who currently live and work in the UK.\n\n If you're passionate about AI infrastructure, cloud engineering and enabling enterprise-scale AI innovation, we'd love to hear from you. Submit your CV or contact David Airey at . \n

SENIOR PROPERTY MANAGERRendall & Rittner £Competitive, aligned to experience and portfolio size HybridROLE OVERVIEWYou will take the lead on a large development in Greenwich that is set for remarkable growth, evolving from around 1000 homes to approximately 1900 over the coming years. This is a rare opportunity to shape the resident experience and operational model for a new London neighbourhood. Partnering closely with the client, contractors and on site teams.ROLE EXPECTATIONSThis is a fast-paced, high-responsibility role requiring strong leadership, sound judgement and commercial awareness.You will:Take full ownership of your portfolio, ensuring consistently high service deliveryLead, support and mentor junior team membersBuild strong, trusted relationships with clients, residents and stakeholdersOversee budgets, forecasts and financial performance with accuracy and controlManage major works projects and Section 20 consultations end-to-endEnsure full compliance with H&S, legislation and industry best practiceProactively identify risks, resolve issues and drive improvements.WHAT SUCCESS LOOKS LIKEYoull be successful in this role if:Your portfolio is stable, compliant and performing to a high standardClients see you as a trusted advisor and go-to expertYour team is engaged, supported and consistently deliveringFinancial management is accurate, transparent and well-controlledMajor works and projects are delivered smoothly and professionallyHOW YOULL SPEND MOST OF YOUR TIMEMost weeks, youll be:Managing and overseeing a residential property portfolioSupporting and mentoring Property Managers and team membersAttending client meetings, AGMs and board presentationsReviewing budgets, forecasts and financial performanceOverseeing major works and contractor performanceConducting site visits and ensuring compliance standards are metProviding expert advice on leasehold legislation and best practiceYoull work in a hybrid way, with a mix of home working, time in the office and site visits as required, trusted to manage your time and priorities effectivelyWHO THIS ROLE IS FORThis role suits someone who:Has strong experience in residential block/property managementHas previously operated at Senior Property Manager level or is ready to step upIs confident leading people and influencing stakeholdersHas strong financial, operational and commercial awarenessCommunicates clearly, professionally and with authorityTakes pride in delivering a high-quality, proactive serviceEXPERIENCE THAT HELPSProven experience managing residential portfoliosExperience mentoring or managing team membersStrong understanding of Landlord & Tenant Act and leasehold legislationKnowledge of RICS, ARMA and industry best practiceExperience with Section 20 consultations and major worksTPI qualification (or working towards)WHAT WE OFFERCompetitive salary, aligned to experienceDiscretionary bonusHome-based working with portfolio travel25 days holiday plus bank holidaysPrivate medical insurance, life assurance and enhanced family leaveFully funded training and professional developmentPaid sabbaticals as a loyalty rewardPension scheme and employee assistance programmeDiscounts across travel, retail, fitness and entertainmentABOUT RENDALL & RITTNERRendall & Rittner is one of the UKs most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo.We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year.HOW WE HIREInitial conversation with our talent teamInterview focused on experience, judgement and approachWe aim to complete the process within two to three weeks and communicate clearly throughout.INTERESTED?Apply with your CV.All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required.TPBN1_UKTJ

Applied AI Engineer - London - Up to £190,000 - Permanent \n A rare opportunity has risen for a Senior Applied AI Engineer to join a dedicated team at the heart of a leading global financial organisation's AI function. \n As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. \n The Role \n \n\n • Translate business challenges and problem statements into working proofs of concept and production-grade AI solutions.\n, • Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies.\n, • Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.\n, • Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions.\n, • Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude.\n, • Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js and Svelte.\n, • Build robust backend services, APIs and orchestration frameworks to support AI-powered applications.\n, • Design and manage data architectures across SQL, NoSQL and vector database environments.\n, • Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value.\n, • Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability.\n, • Conduct model benchmarking, technical due diligence and framework evaluations to inform technology decisions.\n\n Skills & Experience \n\n • Demonstrated experience designing, developing and deploying Applied AI and Generative AI solutions in production environments.\n, • Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks.\n, • Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems.\n, • Advanced Python development skills, with exposure to TypeScript considered highly advantageous.\n, • Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design.\n, • Hands-on experience building applications using React, Next.js, Svelte or comparable modern front-end frameworks.\n, • Strong understanding of SQL, NoSQL and vector database technologies, including platforms such as PostgreSQL and Firestore.\n, • Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies.\n, • Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform.\n, • Strong problem-solving, stakeholder engagement and architectural design skills, with the ability to translate business requirements into scalable AI solutions.\n\n Why Apply? \n\n • Impressive base salary of £190,000 with a strong 20% bonus structure.\n, • Great opportunity to work on genuinely innovative AI and agentic systems.\n, • Visa sponsorship available for UK-based candidates (must be exceptional)\n\n If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great to hear from you. \n Apply below or submit your CV at \n All candidates must be UK-based. \n

ServiceNow DeveloperSalary: Up to £85,000 + BenefitsLocation: Hybrid (UK - office, client site and home working)Security Requirements: Active SC Clearance and Sole UK Nationality are essential for this role.The OpportunityWe are looking for an experienced ServiceNow Developer to join a growing technology team delivering innovative ServiceNow solutions across enterprise environments. This is an exciting opportunity to work on a combination of project delivery and platform enhancement, helping to improve business processes, automate workflows and enhance the end-user experience.Working alongside technical specialists and automation teams, you will play a key role in designing, developing and optimising ServiceNow solutions with a particular focus on Virtual Agent and intelligent automation.Key ResponsibilitiesDesign, develop and maintain ServiceNow applications, modules and integrations.Configure and enhance ServiceNow Virtual Agent capabilities.Develop and support workflow automation using RPA technologies.Collaborate with business and technical stakeholders to gather requirements and translate them into scalable technical solutions.Optimise platform performance, troubleshoot issues and ensure high availability.Contribute to the continuous improvement of the ServiceNow platform and development standards.Essential Skills & ExperienceProven experience developing and customising the ServiceNow platform.Strong knowledge of ServiceNow workflows, scripting and integrations.Experience with ServiceNow Virtual Agent and/or Robotic Process Automation (RPA).Strong JavaScript development skills.Excellent analytical and problem-solving abilities.Strong communication skills with the ability to work collaboratively across technical and business teams.Essential RequirementsApplicants must meet the following criteria:Active SC (Security Check) Clearance .Sole UK National (dual nationality cannot be considered for this position).Eligible to work on secure UK Government programmes.Able to work in a hybrid environment, including client sites and UK offices as required.What's on OfferSalary up to £85,000.Hybrid working model with flexibility.Opportunity to work on complex, high-profile programmes.Ongoing training and professional development.Collaborative and supportive technical environment.Excellent career progression opportunities.If you're a skilled ServiceNow Developer looking to work on secure, business-critical projects while continuing to develop your expertise, we'd love to hear from you.TPBN1_UKTJ

\n Senior Applied AI Engineer - London - £150-190k \n Location: Central London (minimum 3 days per week in the office) Salary: Up to £190,000 base salary + 20% bonus + comprehensive benefits package Sponsorship: Visa sponsorship available for exceptional candidates. Applicants must be currently based in the UK. \n A leading financial services organisation is seeking a Senior Full Stack Applied AI Engineer. \n This is a rare opportunity to work at the forefront of Generative AI, Agentic AI and Large Language Models, building end-to-end AI-native applications that solve real business problems. You'll take concepts from ideation through rapid prototyping and help shape the technical foundations of solutions that ultimately scale into enterprise production environments. \n The Role \n As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. \n Key Responsibilities \n\n • Take concepts from problem statement through to working proof-of-concept and production-ready prototypes.\n, • Design and build AI-native applications leveraging LLMs, agents and multimodal AI frameworks.\n, • Develop and orchestrate agentic workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.\n, • Design and implement Retrieval Augmented Generation (RAG) architectures, Vector Search solutions and agent memory management.\n, • Deploy and manage AI agents using Google's managed agent runtime and foundation models including Gemini and Claude.\n\n\n, • Build intuitive front-end applications using modern frameworks such as React, Next.js or Svelte.\n, • Develop scalable backend services, APIs and orchestration layers supporting AI applications.\n, • Design and manage data solutions across SQL, NoSQL and vector database platforms.\n\n\n, • Partner with business stakeholders to identify opportunities where AI can deliver measurable value.\n, • Evaluate AI models, platforms, frameworks and third-party tools based on capability, cost, latency, security and maintainability.\n, • Conduct model benchmarking, technical assessments and framework evaluations.\n\n Required Experience \n\n • Proven experience designing, building and deploying Applied AI or Generative AI solutions.\n, • Strong hands-on experience with Large Language Models, AI agents and modern orchestration frameworks.\n, • Experience working with Google Cloud AI technologies, particularly Gemini-based solutions.\n, • Strong Python development skills, with TypeScript experience highly desirable.\n, • Full stack development experience, with a particular strength in backend engineering and API development.\n, • Experience building applications using React, Next.js, Svelte or similar modern front-end technologies.\n, • Strong knowledge of SQL, NoSQL and vector databases including technologies such as Postgres and Firestore.\n, • Experience implementing RAG solutions, prompt engineering and model evaluation frameworks.\n, • Hands-on experience with Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code tools such as Terraform.\n\n Why Apply? \n\n • Base salary of up to £190,000 plus 20% annual bonus\n, • Opportunity to work on genuinely cutting-edge AI and agentic systems\n, • Visa sponsorship available for UK-based candidates\n\n If you're passionate about building the next generation of AI-powered applications and want to play a key role in shaping how a leading financial services organisation leverages Generative AI, we'd love to hear from you. \n To apply, submit your CV or contact David at . \n

Lead the development of enterprise AI solutions that deliver real business impact\n\n • Join a newly expanding AI & Automation team with significant investment and visibility.\n, • Build production AI agents and automation solutions using cutting-edge Microsoft technology. \n, • Influence technical standards whilst helping shape the future direction of the function.\nThis Senior AI Automation Engineer position offers the chance to work on projects that move quickly from concept into production. You'll build solutions that are used by real users and have measurable business impact. You'll sit within a highly visible team that is investing heavily in modern AI capabilities.What you'll be doingYou'll design and build AI agents, automation workflows and production-grade applications using Python, Azure and Microsoft AI technologies. Working closely with technology and business stakeholders, you'll integrate AI solutions into existing platforms, develop reusable engineering components and help establish best practices across the team. You'll also support technical design reviews, contribute to engineering standards and help ensure solutions are scalable, reliable and secure.This is a fantastic opportunity for someone who enjoys solving complex problems and building technology that genuinely improves the way people work. You'll also help define the future of the team's engineering capability.What experience you'll need to apply\n\n, • Several years of commercial experience building and deploying AI-powered solutions (ideally within medium to large organisations)\n, • Strong hands-on experience with Microsoft Copilot Studio, ideally including the design and deployment of AI agents over the last 12 months or more\n, • Strong Python development experience, including building production-ready applications, APIs and automation workflows\n, • Experience working with Azure, particularly within AI, automation or cloud-based development environments\n, • Experience implementing AI solutions in production environments rather than purely proof of concept work\n, • Strong understanding of AI orchestration, agent design and systems integration\n, • Experience working closely with stakeholders to understand business challenges and turn them into technical solutions\n, • Experience operating within professional services, financial services, insurance, tax or other regulated environments would be highly beneficial\n, • Previous experience providing technical leadership, mentoring engineers or helping establish engineering standards would be advantageous\n, • Please note that this role is best suited to candidates who have been applying AI within a commercial business environment rather than solely through freelance, consultancy or personal projects\nWhat you'll get in return for your experienceA salary of up to £80,000 plus discretionary bonus, alongside hybrid working, generous annual leave, wellbeing benefits, ongoing professional development and the opportunity to join a highly visible and rapidly expanding AI function.Location & Working PatternThis role can be based from either Birmingham, London or Manchester, with a hybrid working model of three days per week in the office.Please note that sponsorship is not available for this position. Applicants must already have the unrestricted right to work in the UK on a permanent basis. Unfortunately, applications from candidates who require sponsorship now or in the future cannot be considered.What's next?Apply today with your CV! We're supporting this organisation with three vacancies within the same AI & Automation team. Please apply for the role that best suits your experience and requirements. To avoid duplicates, applications will be reviewed against the selected position and may also be considered for the other opportunities where appropriate.

We’re looking for a hardworking, driven and passionate candidate to join our team as we continue our growth in 2025, helping our owners to maintain their high quality properties, and to ensure our guests receive the very best customer service whilst staying with us. This is a fantastic opportunity to join one of the fastest growing holiday management companies in the UK. Reporting to the Sales Director you will be an ambitious and energetic individual who will help the business to expand its clientele and be the ambassador for Host & Stay and its brands across Norfolk. You will be front of the company and will have the dedication to create and apply an effective sales strategy. The goal of the Property Consultant is to drive sustainable financial growth through boosting sales and forging strong relationships with clients. The Property Consultant helps the business obtain better brand recognition and financial growth. You will coordinate with company executives and sales & marketing professionals to review current market trends in order to propose new business ideas that can improve revenue margins. The Property Consultant is often the first point of contact a new potential client will have with our company when they are seeking information about what we offer. You will need to build long-standing and successful relationships with clients and have a clear, decisive way of communicating to adapt solutions for different needs on behalf of the clients ensuring our existing owners receive a market leading service to maximise retention. This is a hybrid role, and the successful candidate will work mainly from home and ideally reside locally to the area they will be responsible for. Pay & Rewards: Starting salary will be in line with experience and skill set, with base rate starting from £28k, with the potential earnings of £75k with the bonus structure and a £4k car allowance. • Bonus Structure, • Company Events, • Wellness programme, • Employee Discount, • Company Car, • Health Cash Back Plan, • Death in Service, • Pay Protection And Day to Day? …….. You will be responsible for: Owner and Property Recruitment • In line with the portfolio and recruitment plan, recruit new owners and properties by optimising the conversion of head office leads and the generation of self-sourced leads., • Passionately sell the brand and business negotiating the best commercial terms with property owners in line with company guidelines., • Maximise the commercial ‘opt ins’ with new and existing property owners, improving property margin and commercial success of each property., • Promote the benefits of the dynamic pricing model and provide accurate pricing data., • Promote our property management offering where it is featured to increase penetration across the portfolio., • Work collaboratively with colleagues in our offices to ensure all leads and sales opportunities are maximised. Owner Retention • Build long-term relationships with new and existing customers ensuring every touchpoint delivers a market leading experience and leads to retention., • Carry out owner business review meetings and quality assessments in line with company guidelines and timescales ensuring both the owner and business have the information to maximise the commercial opportunity., • Area and Business Development, • Design and implement a series of engaging & market leading tactical in-resort/territory promotional campaigns, network smartly and intensively undertaking any necessary recruitment activity., • Establish a strong presence in the estate agent and rural community as the face of Host & Stay to be the go to holiday rental agency of choice. To be considered for this role you MUST have the following skills: • Strong negotiation and influencing skills., • Full UK Licence, • Passionate about sales and customer service., • An efficient communicator with a professional and customer orientated approach., • Confident to challenge and approach conversations in the right manner., • Ability to build rapport and build relationships with customers and stakeholders., • Excels at multi-tasking, is organised, and has good time management., • Good commercial and business awareness., • Strong analytical skills to evaluate data and to make recommendations., • Proven working experience as a business development manager, sales executive, or a relevant role., • Proven sales track record., • Experience in cold calling desirable, • Market knowledge., • Being a self-starter is a must., • Be able to work remotely., • Full driving license (if you have a disability, we will explore reasonable adjustments with you). Who is Host & Stay? Host & Stay is based in Saltburn-by-the-sea and provides full-service holiday home property management to over 1100 properties across the UK. Host & Stay was born from a love and passion for property, and a desire to lead the change in an age-old industry. Our vision is simple, to help property owners maximise their income, maximise their returns, and reduce their fees and their hassle. We’re on a mission to make the UK one of the most popular, guest centric holiday destinations in the world – but not at the expense of holiday homeowners paying high management fees and seeing very little, if any return on their investments. We want our customers and communities to succeed and thrive. We have ambitious plans for further growth and impact, and we need the right people to take this leap with us. It may be challenging at times, but you can be assured that it is going to be rewarding and inspiring. After all, we are changing lives, every day, in all that we do. Any Questions? If you have any questions about the recruitment process, or you have access requirements you would like us to be aware of, please contact the Recruitment Team on e: _ - we will be happy to help! We are proud to be a Disability Confident Employer.

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. Spotted Zebra helps large enterprise customers adopt AI-enabled hiring in a way that is practical, responsible and defensible. As AI becomes more central to hiring, our customers need more than a great product. They need to understand how it works, how it is governed, how risk is managed, and how to secure internal approval to use the capabilities in our product from stakeholders across AI governance, legal, privacy, procurement, HR and the business. We are looking for an AI Governance & Legal Counsel to lead this work, reporting directly to our Co-founder & CCO. This is a blended, customer-facing role. Your predominant focus will be helping our enterprise customers navigate AI and data governance from pre-sales through implementation, with particular responsibility for helping them secure the internal approvals required to deploy Spotted Zebra successfully. Internally, you will help Spotted Zebra build and maintain the documentation, processes, regulatory understanding and product-governance requirements needed to support responsible enterprise AI adoption at scale. Alongside these core responsibilities, you will act as Spotted Zebra’s primary in-house legal counsel. You will review, draft and advise on agreements with customers and suppliers, help the business take pragmatic and commercially sound positions on contractual risk, and support other general legal matters as they arise. This is not a traditional back-office legal role. You will sit within the implementation team, reporting to our Co-founder & CCO, and spend the substantial majority of your time ensuring that AI and data governance does not become a blocker to successful customer deployment. You will work closely with the Implementation Manager, Occupational Psychology Solutions Consultant and Integration Solutions Consultant, as well as our Commercial, Product and Engineering teams. Our ambition is to reduce AI-governance sign-off from the three to four months it can often take today to closer to one to two months. This role will be central to making that possible. For someone excited by the growth of AI governance, this role offers an exceptional development opportunity. You will work at the intersection of AI, regulation, product, occupational psychology and enterprise implementation in one of AI’s most consequential and highly scrutinised applications: hiring and employment. Our ambition is to support you in becoming one of the world’s leading practitioners in applying AI responsibly and practically within high-risk HR contexts. You will own the AI and data governance workstream across customer implementations. Working alongside the Implementation Manager, OP Solutions Consultant and Integration Solutions Consultant, you will identify what each customer needs to achieve internal approval, coordinate the right Spotted Zebra inputs, and make sure the governance process moves forward with clarity and pace. You will support both pre-sales and post-sales. In pre-sales, you will help commercial teams answer customer questions around AI governance, human oversight, automated decision-making, fairness, explainability, bias, data protection and privacy and regulatory readiness. During implementation, you will take a more active role in helping the customer secure internal sign-off and prepare for deployment. A major part of the role will be creating, maintaining and tailoring customer-facing governance documentation. This may include AI governance packs, DPIA support materials, risk assessments, model and product documentation, human oversight explanations, bias-audit evidence, candidate notice wording, FAQs, due-diligence responses and materials that help our buyer present Spotted Zebra confidently to their internal stakeholders. You will also own important internal governance activity. You will help track relevant legislation and regulatory expectations across the regions in which we operate, maintain our jurisdiction-by-obligation matrix, support day-to-day data and privacy protection and automated decision-making governance, keep key documentation up to date, and communicate legal or governance changes that may affect the product, implementation process or customer commitments. You will coordinate external and internal assurance work, including independent bias audits, and maintain core AI governance artefacts, such as: DPIAs, risk assessments, provider documentation, technical files, model cards, risk registers and evidence required for AI management system maturity, including ISO/IEC 42001 readiness. You will also help translate governance requirements into product and process improvements. That could include requirements around consent capture, candidate notices, human review, retention, contestability, audit trails, reporting or customer configuration. You will not be expected to be the technical sign-off owner, but you will need to understand the governance requirement clearly enough to help Product and Engineering act on it. Over time, you will help turn this into a repeatable customer assurance function: building templates, playbooks, standard responses, implementation checklists and governance workflows that make each future customer approval faster and easier than the last. Alongside your primary AI-governance responsibilities, you will act as Spotted Zebra’s primary in-house legal counsel. You will review and, in some limited cases, negotiate customer and supplier agreements, advise the business on contractual risk and other day-to-day legal matters, and engage specialist external counsel where required. Your approach will be pragmatic and commercially minded, helping to protect the business without creating unnecessary barriers to growth. Success means customer governance questions are answered clearly, implementation delays are reduced, buyers feel supported in internal conversations, and Spotted Zebra has a stronger, more repeatable approach to AI governance across pre-sales, implementation and product development. It also means customer and supplier contracts are reviewed efficiently and pragmatically, with clear advice that protects the business without creating unnecessary barriers to growth. Within your first 6-12 months, we would expect you to have improved the quality and consistency of our customer-facing governance materials, helped multiple enterprise customers secure AI and data-governance approval, contributed to reducing approval timelines, created a more scalable internal process for future customer approvals, and established an effective approach to customer and supplier contract review. Requirements • Are a qualified lawyer in the UK or another relevant jurisdiction., • Enjoy working directly with enterprise customers and senior stakeholders., • Can explain legal, regulatory and governance topics clearly and practically., • Are comfortable dealing with AI governance committees, legal teams, privacy teams, procurement, business leaders and product/engineering teams., • Have experience reviewing and negotiating commercial technology or SaaS agreements., • Like writing clear, high-quality documentation., • Enjoy helping customers move through complex internal decision-making., • Can balance governance rigour with commercial pragmatism., • Enjoy creating repeatable processes, templates and playbooks., • Are interested in responsible AI, especially in high-stakes hiring and talent workflows., • Want to help build an important new function inside a fast-growing AI-native company., • Have experience working in a start-up or scaling technology company. Experience in one or more of the following would be valuable: • Supporting enterprise customers through AI-governance, legal, compliance or procurement approval., • Legal, compliance, privacy or data protection., • Enterprise SaaS due diligence or customer assurance., • HR technology, hiring, assessment or occupational psychology., • Regulated software implementation., • Customer-facing consulting or solutions roles., • Drafting policies, DPIAs, risk assessments, governance packs or customer-facing documentation., • Managing specialist external counsel. Benefits Meaningful share options Health insurance Enhanced pension Nursery salary sacrifice scheme ️ 25 days holiday (excluding bank holidays) Remote-first Work from home budget L&D budget Dental cover Eye-care support Co-working space budget Wellbeing allowance ✈️ Travel insurance Electric car scheme Beyond our core benefits, you'll get access to the latest AI-powered tools and technologies, giving you everything you need to do your best work. At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods Develop robust evaluation approaches to measure model quality and reliability Develop scalable AI systems Build and deploy production-grade NLP pipelines and services Ensure models operate efficiently with low latency and high availability Integrate models into scalable cloud infrastructure and real-world applications Data strategy and model training Lead the acquisition, processing and governance of large structured and unstructured datasets Apply exploratory data analysis and validation techniques to improve training pipelines Ensure data privacy and governance standards suitable for financial services Engineering best practices Contribute to DevOps and MLOps pipelines Implement robust version control, testing and CI/CD workflows Support reliable deployment and monitoring of models in production environments Technical leadership Mentor engineers and contribute to the technical growth of the team Work closely with product, engineering and data teams to deliver AI solutions Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines Experience implementing software engineering best practices including Git and agile development Experience working with cloud environments (preferably AWS) Nice to have Experience with containerisation technologies such as Docker or Kubernetes Experience with frameworks such as vLLM or NeMo Knowledge of financial services NLP applications Experience designing evaluation methodologies for LLM outputs Experience building intelligent agents or multi-agent systems Skills and mindset Strong analytical problem-solving skills Ability to design scalable, production-ready AI systems Clear communication with both technical and non-technical stakeholders Passion for AI innovation and continuous learning Leadership and mentoring capability Qualifications MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) and your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions) Private health and dental care Potential share options Enhanced family leave

Aveni is redefining how financial institutions use AI. We build production-ready agentic systems that reshape how banks, advisers, and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. Recognized as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025, we are backed by leading investors and supported by major financial institutions as we scale rapidly amid accelerating AI adoption in financial services. Our platform enables some of the UK’s largest financial institutions to deploy AI safely in FCA-regulated environments, powering everything from compliance monitoring to AI-driven adviser guidance. We are seeking a Product Manager – Assurance to play a central role in Aveni’s Assurance portfolio: products that help financial services firms govern, test, and assure AI agents and human interactions across the customer journey. This role is primarily focused on Agent Approve, Aveni’s pre-deployment simulation and testing product, with additional responsibility for Detect, our post-interaction compliance assessment product. Agent Approve is a growth-stage product operating in a dynamic regulatory environment. You will own the product from discovery through commercial readiness, helping define Aveni’s position in an emerging market. This is a hands-on, high-ownership product role. You will collaborate closely with the Head of Assurance Products on strategy and roadmap direction while independently driving discovery, prioritisation, delivery, and go-to-market readiness. You will work with engineering, design, customer success, marketing, and commercial teams to turn complex customer and regulatory problems into clear, valuable, and shippable product outcomes. You are well suited to this role if you enjoy operating in ambiguity, can bring structure to complex problem spaces, and possess the judgement to prioritize effectively, distinguishing what matters, what can wait, and what needs validation before building. Own the Agent Approve and Detect product roadmaps from problem discovery and opportunity sizing through prioritisation, delivery, and launch readiness. Lead continuous discovery with customers, prospects, and internal stakeholders, developing an evidence-based view of market direction and urgent problem areas. Translate ideas and customer problems into low- and high-fidelity prototypes to validate assumptions early, reduce delivery risk, and accelerate decision-making. Collaborate closely with engineering and design to convert strategy into executable delivery plans, maintain a prioritized backlog, and support squads through delivery. Build strong relationships across engineering, commercial, customer success, and marketing, serving as a trusted voice on what we are building, why it matters, and how it supports Aveni's Assurance portfolio. Stay current with industry trends, regulatory developments, and competitor activity in financial services compliance, QA technology, and AI assurance, ensuring product decisions are grounded in market context. Use data and metrics to inform prioritization, define product KPIs, and measure the success of features and capabilities. Proven experience as a Product Manager in a B2B SaaS environment, ideally owning a roadmap from discovery to delivery. Domain expertise in financial services, compliance, risk, or regulatory technology, and experience leading stakeholder discovery and translating insights into product strategy. Strong product judgement, clear communication skills, and confidence in shaping problem spaces, defining direction, defending prioritization decisions, and explaining trade-offs to diverse audiences. Analytical rigor, comfort using data to guide decisions, and ability to build trusted relationships with engineers, designers, and senior commercial stakeholders. Self-directed, proactive individuals comfortable in early-stage or ambiguous product environments where the path is not fully defined. Experience with AI-powered products, analytics, or model-driven tooling; familiarity with FCA regulatory frameworks, Consumer Duty, or conduct risk. Exposure to pre-deployment testing, quality assurance, or compliance workflows. Experience writing compelling product narratives for commercial or go-to-market purposes, especially relevant for the growth-stage nature of Agent Approve. You will work on complex and meaningful challenges at the intersection of AI, regulation, and financial services. You will help shape a product category that is growing in importance as financial institutions move from experimenting with AI to deploying it safely, responsibly, and at scale. You will have real ownership, visibility, and the opportunity to influence both product direction and market positioning during a pivotal stage of Aveni’s growth. Remote-first working across the UK Company-wide offsites and regular in-person gatherings Work abroad policy Optional Personal Development Plan Flexible benefits platform for selecting the benefits that matter most to you Life insurance, income protection, critical illness cover, and pension with up to 5% matched employer contribution Private health and dental care At Aveni, we believe diversity drives innovation. We strive for an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you are passionate about technology and its role in shaping the future of financial services, we encourage you to apply—even if you do not meet every requirement. We would love to hear from you if you believe you could be a great fit.

Research Scientist/Engineer - Agent Systems & Reinforcement Learning \n Location: LondonSalary: £ per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-site \n About the Opportunity \n We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent the next frontier of artificial intelligence. This team is exploring how autonomous AI agents can operate effectively across complex environments, continuously learn from experience, and improve their capabilities over extended periods of execution. \n This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems, contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). \n You will work alongside internationally recognised researchers and engineers, with access to significant computational resources and the freedom to investigate ambitious research challenges while helping translate breakthrough ideas into practical AI systems. \n The Role \n As a key member of the research team, you will contribute to the design and development of next-generation Agent systems, focusing on long-term reasoning, memory, self-improvement and reinforcement learning-driven optimisation. \n Key Responsibilities \n Agent Memory & Long-Term Reasoning \n\n • Design and develop advanced Agent memory architectures capable of supporting ultra-long context processing.\n, • Research techniques to mitigate memory degradation in long-running Agent environments.\n, • Improve information retrieval, storage and utilisation mechanisms to enhance long-term planning and decision-making.\n, • Explore scalable approaches for persistent memory systems across complex task environments.\n\n Agent Self-Evolution & Autonomous Learning \n\n • Develop self-evolving Agent capabilities that enable continuous improvement through experience.\n, • Research unified Agent representations and optimisation frameworks to support autonomous adaptation.\n, • Build systems that facilitate iterative self-improvement and long-term learning.\n, • Contribute to the development of Agent Harness frameworks that enable scalable evolution of autonomous agents.\n\n Agentic Reinforcement Learning \n\n • Investigate advanced reinforcement learning methodologies for Agent optimisation.\n, • Develop both parametric and non-parametric RL approaches to improve Agent performance.\n, • Build collaborative update pipelines connecting Agent policy models and Agent execution frameworks.\n, • Evaluate and improve learning efficiency across diverse environments and task domains.\n\n Research & Innovation \n\n • Conduct novel research in Agent systems, Large Language Model reasoning and reinforcement learning.\n, • Publish findings and contribute to the broader AI research community.\n, • Collaborate with multidisciplinary teams to translate research breakthroughs into practical systems.\n, • Stay at the forefront of emerging developments within autonomous AI and intelligent agent technologies.\n\n About You \n Essential Requirements \n\n • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline.\n, • Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI.\n, • Demonstrated expertise in at least one of the following areas: Agent Systems, Reinforcement Learning, Large Language Models, Autonomous AI or Reasoning Systems.\n, • Excellent programming skills, particularly in Python and modern machine learning frameworks.\n, • Strong analytical and problem-solving abilities with a passion for tackling complex research challenges.\n, • Excellent communication and collaboration skills within multidisciplinary research teams.\n, • Commitment to working within a highly ambitious and fast-paced research environment.\n, • First-author publications at leading conferences including NeurIPS, ICML, ICLR, ACL, EMNLP or equivalent.\n\n Desirable Requirements \n\n • Experience conducting cutting-edge research in Agent systems, reinforcement learning or foundation models.\n, • High-impact research contributions, highly cited publications or influential open-source projects.\n, • Track record of success in relevant competitions such as Kaggle, ARC-AGI or similar AI benchmarks.\n, • Experience developing large-scale AI systems within industry, academia or advanced R&D environments.\n\n

\n Power Platform and AI Developer - London - hybrid - 2 days per week - £65,000 - £70,000 DOE \n Power Platform/Canvas Apps/Model-driven Apps/Copilot Studio/Azure AI/Agent Builder/AI \n Our client is looking for an experienced Power Platform and AI Developer to join their team. This role would be hybrid working and would require you in the office 2 days per week in London. As the Power Platform and AI Developer, you will develop and support custom applications, integrations and AI solutions using Power Platform, Copilot Studio, Agent Builder and Azure AI Foundry. \n You will help develop cloud flows using Power Automate, support logic apps and support responsible AI adoption across the business. \n Experience: \n\n • Experience building applications with Power Apps (Canvas Apps and Model-Driven Apps) and Power Automate\n, • Exposure to AI agents using Copilot Studio, Agent Builder or similar AI tools\n, • Knowledge of Dataverse, data connections, API's and custom connectors\n, • Good experience across the M365 ecosystem including Azure fundamentals, Azure AI services and M365\n\n Power Platform/Canvas Apps/Model-driven Apps/Copilot Studio/Azure AI/Agent Builder/AI \n If you feel you have the experience required for the Senior Data Analyst role, then please do apply!

Software Developer \n\n • Annual Salary: £40k - £45k, dependent on experience\n, • Location: Cannon Street, London\n, • Job Type: Permanent - 4 days a week onsite \n, • Start Date: Immediately\n\n A new exciting permanent opportunity, for a Software Developer to join an exciting financial bridging loan, property lender organisation in an exciting phase of growth and are now seeking to develop and implement a highly automated lending process. \n They are currently building an in-house, bespoke software to execute various day-to-day lending analyses and processes. This software is expected to significantly enhance their operating efficiency and scalability, contributing to future growth. This role is backend-focused but will require frontend skills. You will have the opportunity to work closely with key stakeholders in the company. \n Day-to-day of the role: \n\n • Develop and implement frontend and backend components for bespoke software.\n, • Collaborate with co-founders and other team members to define software requirements and take the lead on operational and technical projects.\n, • Utilise React and Next.js for modern web application development.\n, • Use Node.js and related tools for effective backend development.\n, • Design and implement effective UIs with a focus on user experience, using TypeScript, JavaScript, and CSS.\n, • Integrate frontend and backend aspects of the application using RESTful APIs.\n, • Participate in continuous integration and deployment (CI/CD) pipelines.\n, • Ensure software quality by incorporating best practices in testing, including TDD.\n\n Required Skills & Qualifications: \n\n • Strong experience with React and Next.js.\n, • Proficiency in Node.js and related web development tools.\n, • Proven ability in UI development and design, focusing on clean, intuitive user interfaces.\n, • Proficiency in TypeScript and JavaScript.\n, • Solid understanding of CSS, styling libraries, and modern styling approaches.\n, • Working knowledge of RESTful APIs and frontend-backend integration.\n, • Experience with CI/CD pipelines.\n, • Understanding of testing practices, including TDD.\n\n Nice to have: \n\n • Familiarity with cloud platforms such as AWS, GCP, or Azure.\n, • Experience with Python/Fast API for backend development.\n, • Experience using AI-assisted development tools.\n, • Awareness or exposure to Model Context Protocol.\n, • Experience working with Figma or collaborating from design files.\n, • Exposure to AI agents or agent-based workflows.\n\n Benefits: \n\n • Competitive salary based on experience.\n, • Opportunity to work on transformative technology in a dynamic environment.\n, • Exposure to critical and strategic projects.\n, • Professional growth and development opportunities.\n\n To apply for this Software Developer position, please submit your CV to be immediately considered for this role.

EMPLOYMENT TYPE: Permanent DEPARTMENT: Information SystemsDIVISION: GroupWORKPLACE STRUCTURE: HybridROLE OVERVIEWPURPOSE OF JOBAs JTC enters the Genesis era of growth and transformation under private equity ownership, the Group's ambition is to become a data- and AI-powered specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. The Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that turns JTC's AI & Agentic Strategy 2030 into working, governed and value-generating systems.The postholder will build and lead the team responsible for AI/ML model development and agentic engineering across the three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans the JTC Agentic Platform (MCP-enabled orchestration and validation across JTC systems and market tools), the enterprise document extraction platform, end-to-end billing agents (Agentic Thames and the Agentic Wheel), conversational AI analytics on the Klondike data platform, function-specific JTC Agents and the Group-wide Agent Builder; all delivered on a consolidated, Claude-based AI stack that preserves in-house control and avoids vendor lock-in.This is a hands-on engineering leadership role. Acting as the Group's hub for AI in the Businesses and Group functions, the postholder pairs deep technical credibility with commercial judgement: every model and agent shipped must deliver measurable operational ROI against the Technology Value Creation Plan, operate within the AI Governance & Model Risk framework, and stay cost-disciplined through FinOps controls. The ideal candidate combines frontier LLM and agentic engineering expertise with the leadership skills to build and scale a high-performing team in a PE-backed environment.MAIN RESPONSIBILITIES AND DUTIESAI & Agentic Engineering Delivery Lead the design, development and production deployment of AI/ML models and agentic systems across the Group, delivering the prioritised use cases on JTC's two-year roadmap (55 use cases selected on value, feasibility and strategic fit) to enterprise quality.Build and scale the near-term delivery priorities: Agentic Thames (the end-to-end billing agent combining contract-reading, scoping, billing and timesheet quality-assurance AI skills), the Agentic Wheel billing transformation, AI-enabled tax workflow redesign, the standardised AI assistant, and AI-enabled analytics on the Klondike financial reporting platform.Engineer Digital Integrated Agents for JTC's client-facing digital products, enabling non-linear user journeys, content and dynamic UI generation, conversational AI-enabled analytics and reporting, and persona-aware hyper-personalisation services.Deliver the enterprise document extraction platform and agent supporting workflows across service delivery, driving timeliness, accuracy and efficiency in middle- and back-office operations.Ship function-specific JTC Agents (e.g. Billing, Data Quality Control), individual AI productivity assistants with secure access to JTC data and systems and institutionalise the multi-platform Agent Builder for craft-your-own agents.Agentic Platform & AI ArchitectureOwn the engineering of the JTC Agentic Platform, MCP-enabled orchestration and validation across JTC systems and market tools, maintaining in-house control of the agentic layer to avoid LLM lock-in.Build around the consolidated Claude stack (Claude, Cowork, Claude Code and the developer platform), migrating existing agentic workloads onto it and prioritising app-agnostic agents on the JTC Agentic Layer over vendor-embedded AI.Partner with Data Engineering & Provisioning to ensure AI-ready data, reusable, governed structured and unstructured data pipelines feeding models, agents and analytics across the Group.Define and enforce AI engineering standards, deployment patterns, integration patterns, testing and evaluation frameworks, and contribute AI/data positions to the Architecture Forum's buy-vs-build and standards decisions.Evaluate third-party embedded AI and SaaS agents (e.g. Safebooks.ai, Rossum) for benefit and cross-application scalability, integrating those that earn their place on the platform.Prioritisation & Value Delivery Co-own use-case prioritisation with the AI Product Management function, impact and feasibility assessment, quarterly roadmap refresh, dependency and sequencing management, and capacity and investment planning across the AI portfolio.Embed measurable operational ROI in every AI deployment and support the VCP PMO's monthly delivery and value reviews, portfolio reporting and benefit realisation tracking for the Enterprise AI & Knowledge and related initiative clusters.Work with AI Product Managers who sit with users to convert real business requirements into engineered agents, iterating rapidly from pilot to production based on user feedback and delivered value.Translate engineering progress into business and financial narratives for the Executive Committee, Steerco and PE sponsor reporting cadences.AI Governance, Model Risk & Fin OpsCo-develop and operate within the AI Governance & Model Risk framework, model risk and assurance, responsible-AI policy, audit trail and human-in-the-loop controls, and support the AI Governance Forum's oversight of fairness, explainability and control of AI use cases.Embed security, resilience and regulatory control by design in every AI system, working with Cyber & Infrastructure to scale controls for data and AI initiatives rather than bolting them on late.Apply FinOps discipline to AI at scale, AI/token and cloud cost management, usage monitoring and unit-economics control to stay ahead of run-cost.Ensure AI systems are auditable and evidenced for regulators, clients and internal risk functions across JTC's regulated, multi-jurisdiction environment.Team Leadership & Capability Building Build, lead and develop the AI Engineering & Data Science team, hiring targeted internal capability in AI Engineering and AI Modelling, with phased headcount growth aligned to investment and business case.Act as the Group's hub for AI in the Businesses and Group functions, upskilling Tech-Ops in AI and agentic workflow delivery and championing adoption of coding assistants (Claude Code) across engineering.Represent JTC AI engineering in external forums, vendor engagements and PE portfolio technology networks.Continuously horizon-scan the frontier of model and agent development, translating advances into practical opportunity for JTC's AI roadmap.ESSENTIAL REQUIREMENTSCandidates should bring demonstrable progressive experience across AI/ML engineering, data science and enterprise software delivery; including leading engineering teams, ideally in Financial Services, Professional Services or PE-backed environments.Demonstrable track record shipping production-grade AI/ML and LLM-based systems at enterprise scale from prototype through governed production deployment and ongoing operation.Deep hands-on expertise in LLMs and agentic systems: prompt and context engineering, retrieval-augmented generation, tool/MCP orchestration, multi-agent workflows and evaluation frameworks. Experience with the Anthropic stack (Claude, Claude Code, agent SDKs) is strongly advantageous.Strong software engineering foundations; APIs, cloud platforms, CI/CD, data pipelines and experience integrating AI into core enterprise systems and business workflows.Proven experience building document intelligence/extraction, workflow automation or conversational analytics solutions in control-heavy, regulated environments where specialists retain oversight and judgement.Working knowledge of AI governance and model risk: responsible-AI policy, explainability, human-in-the-loop controls, audit trails and model assurance.FinOps awareness; token and cloud cost management, usage monitoring and the unit economics of running AI at scale.Experience partnering with product management to prioritise use cases by value and feasibility, and to measure and report realised benefit against investment cases.Proven leadership of engineering or data science teams; hiring, developing and retaining talent in a scaling environment with the executive presence to represent AI engineering at senior leadership level.Sector experience in trust, fund administration, wealth management, asset management, or professional financial services is highly advantageous.A relevant degree in computer science, machine learning or a related discipline, and relevant professional certifications, are valued but not required.OUR COMMITMENT TO INCLUSION & WELLBEING JTC is committed to fostering a healthy, inclusive organisation where all individuals feel welcome and feel able to participate in the workplace fully. We value different perspectives, backgrounds and lived experiences. This includes supporting employee wellbeing so that people feel equipped to thrive.#LI-AM1

TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsHands on experience building and deploying agentic AI / multi-agent systems within regu

Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves. Maintain strict data stewardship, model risk and compliance standards as AI agent and decision-support solutions scale acro

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySalesJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The Distinguished Technical Architect, Data & AI is a senior technical leadership role within Salesforce's EMEA Go-to-Market organization.The Agentforce & Data360 Specialist team includes an elite group of Technical Architects operating at the intersection of Data, AI, and enterprise transformation. We are purpose-built to accelerate Agentforce and Data360 sales and value realization across EMEA's most strategic enterprise customers. This isn't a generalist architect role — it's a field-facing, C-suite-adjacent function where the best architects in the industry come to work on the hardest problems at the highest stakes.This team sits at the centre of Salesforce's GTM strategy in EMEA, connecting the dots between Data & AI Products, Product Marketing, Enablement, Customer Success, and the Partner Ecosystem — and operating across the full customer lifecycle to ensure customers don't just buy Agentforce and Data360, but genuinely succeed with them.Your ImpactAs Distinguished Technical Architect, Data & AI, you are Salesforce's most senior technical voice on Data and AI in EMEA — a Field Chief Data and AI Officer in practice, even when the room doesn't know your title. Your impact spans three primary dimensions:1. Thought Leadership & Industry PresenceBe a compelling, credible voice for Data and AI at Salesforce events, industry conferences, analyst briefings, and customer roundtables across EMEA.Present on stage and command a room — with the depth to hold a conversation with a Chief Scientist and the clarity to move a CEO to action.Publish technical thought leadership (blogs, whitepapers, reference architectures) that shape how the market thinks about enterprise AI and data strategy.Represent Salesforce's architectural point of view in the external ecosystem — with partners, analysts, press, and the broader technical community.Build and maintain a personal brand as a trusted authority on the intersection of Data, AI, and enterprise architecture.2. Strategic Architecture in Complex Deal CyclesOperate as a senior technical authority in Salesforce's most strategic and complex EMEA deal cycles — not as an executive presence at meetings, but as a material influence on buying decisions, architectural direction, and adoption outcomes.Engage at CDAO, CTO, and CIO level to shape enterprise data and AI strategy — connecting Salesforce's platform to the customer's most important business outcomes.Lead architectural deep-dives, whiteboard sessions, and design sprints that give customers the confidence to make bold decisions on Agentforce and Data360.Collaborate with AEs and SEs to build hands-on prototypes and proof-of-value demonstrations — targeting delivery in under two weeks — that make the architecture real and accelerate buying decisions.Own technical architecture decisions at customer engagements: data modelling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); advise customers on how these systems collaborate within their enterprise architecture.Navigate ambiguous, high-stakes technical conversations with authority — knowing when to prescribe, when to co-design, and when to challenge.Support early adoption engagements post-sale by tuning agents and guiding customers toward self-sufficient enablement.Serve as a long-term trusted advisor to strategic customers — building relationships that outlast any single deal cycle.3. Reusable Assets & Internal Force MultiplicationPackage and codify architectural patterns, reference designs, proof-of-concept frameworks, and technical playbooks that other Technical Architects across EMEA can deploy directly in their deal cycles.Be an internal multiplier — elevating the architectural quality of the broader team through coaching, IP contribution, and program leadership.Develop scalable enablement assets — including demo environments, architectural workshop templates, and POV accelerators — that compress time-to-value for the field.Partner with Product and Engineering to translate field-driven architectural insights into roadmap input and product improvements.Contribute to the global Architect community, sharing reusable IP and best practices that raise the bar across the function.QualificationsYou are a rare combination: technically elite, commercially sharp, and compelling on stage.15+ years of progressive experience in enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical advisor — influencing architecture decisions, not just presenting in them.Track record of presenting at major industry events, publishing technical thought leadership, or building a recognized personal brand in the Data and AI ecosystem.Proven ability to design and deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.Understanding of agent interoperability standards (MCP, A2A) and the broader external agent ecosystem.Experience operating in complex, matrixed enterprise environments across multiple EMEA markets.Exceptional communicator and storyteller — able to translate architectural complexity into board-level narratives and back again.Fluent English required; additional EMEA language skills are a strong plus.Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like Databricks, Snowflake, SageMaker, or Vertex. Agent lifecycle management, observability, and governance frameworks.Agentforce & Salesforce Platform Deep architectural understanding of how Data and AI are activated within Salesforce — including Agentforce, Data360, Sales Cloud, Service Cloud, and Industry Clouds. Hands-on experience with Agentforce Studio and Agent Builder to configure conversational and background agents; integration with external channels including voice via hyperscaler APIs. Proficiency in prompt design, testing, monitoring, and iteration; familiarity with agent lifecycle best practices from development through refinement. Understanding of how external agents (Copilot, Gemini, etc.) integrate with Agentforce via open standards (MCP, A2A).Analytics & BI Working knowledge of Tableau, PowerBI, or Looker and how they connect to enterprise data strategy.Integration Patterns MuleSoft APIs, hyperscaler SDKs, cross-platform integrations, and enterprise governance and compliance frameworks.Key QualitiesFuturist: Consistently brings a forward-looking perspective to customers, the team, and the product roadmap. Connects today's architectural decisions to tomorrow's possibilities.Gravitas: Commands a room — from a customer whiteboard session to a 2,000-person conference stage.Depth: Goes beyond the talking points. Materially engages with the architecture, the data model, the trade-offs, and the edge cases.Multiplier: Naturally codifies what they learn and gives it back to the team.Storytelling: Translates complex technical concepts into compelling narratives that resonate with both technical and business audiences.Trusted Advisor: Demonstrates integrity, transparency, and reliability with customers, teammates, and partners.Curiosity: Stays close to the technology — continuously learning, experimenting, and bringing new ideas back to the team.Benefits & PerksCheck out our benefits site that explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

Level: Senior — engineer-turned-architect, still hands-on \n Type: Permanent · Location: London (hybrid, some client travel) · \n Reports to: Delivery Lead \n \n About Lumo \n Lumo is an AI transformation consultancy. We help businesses embed AI into their SDLC, processes, and practices — from advisory through to hands-on application and data build. Our delivery model is AI-native: small senior teams orchestrating AI tooling (Claude, Claude Code, Devin, Cursor/Windsurf, agentic workflows) to ship work faster, leaner, and with more rigour than traditional consultancies. \n \n Why this role exists \n First, the most important thing: this role is built around a strong, experienced engineer-turned-architect — someone with real delivery behind them and the credibility that comes with it. You do not need to be an AI expert today. If you have deep AI tooling experience, brilliant. If you don't, but you have the engineering depth and a genuine track record of learning fast, we will back you to pick it up here. The experience is the hard part; the AI we can teach. \n Here's the context. Our clients are trying to change how they build software — they want AI woven through their delivery lifecycle, not as a novelty, but as the default way their teams design, build, test, and ship. They need someone credible who can sit alongside their engineering and product leaders, work out what that actually looks like for them, and help them get there. Credibility is everything: you have shipped real systems, you have led delivery, and people listen to you because of it. \n That is this role. You work directly with client teams in an advisory capacity, helping them evolve their AI SDLC — where AI tooling earns its keep, how delivery changes around it, what good looks like, and how to get there without breaking what already works. It is not a whiteboard-only solution architect role: you stay hands-on, with AI tooling doing serious work alongside you, because the point is to demonstrate the way of working, not just describe it. Whether you arrive already fluent in those tools or grow into them with us, the foundation is the same — proven engineering judgement and the appetite to keep learning. \n \n What you'll do: \n\n • Work with client teams. Sit alongside our clients' engineers, architects, and product leads to understand how they deliver today and where AI changes the picture. Run working sessions, advise on practice and tooling, and translate the work for technical and non-technical stakeholders without losing precision.\n, • Help evolve their AI SDLC. Shape how AI tooling fits into a client's delivery lifecycle — design, build, review, test, release. Recommend where to lean in, where to be cautious, and what good looks like, then help them adopt it.\n, • Stay hands-on with AI. Show, don't just tell. Use Claude Code, Devin, Cursor/Windsurf, and agentic workflows as a force multiplier. Know what to delegate to agents, what to keep yourself, what to put behind an eval, and what to throw away.\n, • Set credible technical direction. Bring architecture judgement built on real delivery — sensible system design, integration patterns, and trade-offs that hold up in production, not just on a slide.\n, • Partner with the Lumo delivery team. Work with our delivery lead and the wider team to scope engagements, raise risks early, and keep things moving. We are a start-up, so the shape of the team is still forming — you are comfortable with that.\n\n \n What we're looking for \n Must-have \n\n • A strong engineering background, with a backend bias. You came up building production systems — services, data, integration — and you have a deep appreciation for how technology actually gets delivered.\n, • A move into architecture, while staying hands-on. You took on architecture and led deliveries, but you never stopped building. You are not a diagrams-only architect.\n, • A track record of learning and adapting. This matters most. You can point to times you picked up an unfamiliar stack, tool, or way of working and shipped with it. You are self-sufficient and you thrive in new delivery methods rather than waiting to be shown.\n, • Credibility with technical leaders. You have led delivery and can hold your own in a room with a client's senior engineers — advising, challenging, and being trusted.\n, • Comfortable working directly with clients. You can run a working session, explain progress and trade-offs clearly, raise risks early, and adjust register for technical and non-technical audiences.\n, • Enough breadth to use AI across the stack. You don't need to be a specialist front-end engineer or platform engineer, but you understand front-end, IaC, and the broader stack well enough to direct AI tooling across them confidently.\n, • London-based and happy with hybrid working and occasional travel to client sites.\n\n \n Nice-to-have (and genuinely fine to learn on the job) \n We would love someone who already lives in AI tooling — but we know that person is rare. If you bring the engineering experience, the architecture judgement, and the track record of adapting, we will back you to pick up the AI side fast. So these are a bonus, not a barrier: \n\n • Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep.\n, • LLM application engineering — agent orchestration, RAG, structured outputs, evals.\n, • Prior consultancy or client-facing delivery experience.\n, • Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL).\n, • Front-end or IaC delivery experience to complement the backend core.\n\n \n How you'll know this job is for you \n You like being the person clients trust to tell them the truth about how to build better — and then to roll up your sleeves and show them. You would rather learn a new tool and ship with it than defend the way you have always worked. And you are energised, not unsettled, by a start-up where the role will keep changing as AI delivery itself changes. \n \n How we work \n\n • AI-native delivery is the default. We are a small senior team because we orchestrate AI tooling well. If you would rather pretend that isn't happening, this isn't the place.\n, • Honest, not over-sold. Our client posture is candid. We flag risk, recommend gates, and prefer documentation and handover over perpetual retainer. You'll be expected to do the same.\n, • Fast paced. Change is relentless. Roles, teams, and methods are evolving — that is the opportunity, and it is why self-sufficiency matters so much.\n

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. \n For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. \n \n \n Job Summary \n As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables \n \n Key Responsibilities \n • Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not weeks. \n • Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI. \n • Own efficiency as the scorecard: drive delivery efficiency and operational efficiency; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. \n • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration. \n • Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. \n • Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. \n • Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. \n • Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships. \n • Own AgentOps / DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one. \n • Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design. \n • Stay ahead of the curve: adopt evolving agent frameworks and patterns quickly and bring field learnings back to the practice. \n • Lead and mentor: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability. \n \n Must Have Skills \n\n • python\n, • LangGraph\n, • Open AI Agents SDK\n, • Model Context Protocol (MCP)\n, • Amazon Bedrock\n, • Large Language Models (LLMs)\n\n

About the company \n We build AI infrastructure for enterprises — specifically, a platform that takes complex, heterogeneous data and auto-generates knowledge graphs from it. Those graphs power LLM agents that automate workflows previously requiring skilled human judgement. Our two core verticals are pharma and financial services. We sell outcomes: compliance teams getting ahead of regulatory change, advisors spending less time on manual research. \n The role \n This role bridges pre-sales, client deployment, and product engineering. You will work directly with enterprise clients — scoping and pitching solutions, deploying our platform on live data, building prototypes, and feeding what you learn back into the product. The product is early-stage and you will be working at codebase level. You need to be able to hold a room with a CTO and write Python on the same day. \n What you'll do \n • Lead technical pre-sales — discovery sessions, solution architecture, and pitching to senior client stakeholders. \n • Configure and deploy the platform at client sites across pharma and financial services. \n • Inspect auto-generated knowledge graphs for correctness and identify which workflows are worth automating. \n • Build working prototypes on real client data — live, explainable, specific enough to hand off. • Enable implementation partners and manage the technical handoff to production. \n • Work directly with the product and engineering team to translate field learnings into new functionality. \n What we're looking for \n • Experience in pharma, financial services, or both — you know what's worth automating and why. \n • Comfortable working directly with a Python codebase — building, debugging, and extending features. \n • Graph literacy — Neo4j, SPARQL, or equivalent. Can inspect a knowledge graph and judge its fitness. \n • Agent fluency — has built LLM agents in production. Knows what goes wrong. \n • Strong communicator — can translate complex technical concepts to non-technical senior stakeholders. \n • Pre-sales experience — comfortable leading discovery, scoping engagements, and presenting solutions. \n • Integration thinking — can map a client's data environment to the connectors needed. \n Nice to have \n • GraphRAG, multi-hop reasoning, or graph quality assessment experience. • Prior FDE or technical consulting background. \n • Regulatory data fluency — MiFID II, MLR, ACPR. \n • Experience enabling SI or implementation partners. \n • Streamlit or similar rapid prototyping tools. \n Why this role \n Most enterprise AI deployments stall between the model and the workflow. This role exists to close that gap across pharma and financial services — with a product built specifically for it. You will have direct input into how the product evolves, work on real client problems, and own outcomes you can point to.

We are working with a highly regarded professional services firm seeking an experienced Executive Assistant to support senior partners within a high-performing Commercial Real Estate team. \n \n The successful candidate will act as a true business partner to senior stakeholders, taking full ownership of diaries, inboxes, financial processes, and operational support, while contributing to continuous improvement across the team. \n \n This is a full-time, permanent role with hybrid working and great benefits. Working hours of 9.30 am to 5.30 pm. \n \n Key Responsibilities \n \n Partner & Stakeholder Support \n\n • Act as a professional, client-focused ambassador for partners both internally and externally\n, • Build highly effective working relationships with multiple partners\n, • Develop a strong understanding of partners’ practice areas, clients, priorities, and strategic goals\n, • Arrange and lead regular catch-ups with partners to review diaries, commitments, and priorities\n, • Attend meetings, take minutes where required, and proactively follow up on actions\n\n \n Diary & Inbox Management \n\n • Take full ownership of complex and demanding partner diaries\n, • Proactively manage conflicts, queries, and last-minute changes\n, • Ensure partners are fully prepared for meetings and commitments\n, • Manage inboxes on behalf of partners, including:\n, • Drafting and sending emails\n, • Highlighting urgent or sensitive correspondence\n, • Redirecting client-critical emails to relevant fee earners or team members\n\n \n Financial, Billing & Matter Management \n\n • Demonstrate strong commercial and financial awareness\n, • Coordinate billing processes on behalf of partners\n, • Proactively organise WIP and financial review meetings\n, • Work closely with finance teams and client administrators to meet billing deadlines\n, • Take ownership of financial and matter management processes, including chasing unpaid bills\n, • Handle complex compliance and billing-related matters\n\n \n Business Development & Marketing Support \n\n • Liaise with Marketing and Business Development teams\n, • Coordinate BD activities for the team\n, • Play a key role in organising client events, seminars, and conferences\n\n \n Travel & Logistics \n\n • Arrange complex travel end-to-end, including:\n, • Flights, accommodation, visas, and currency\n, • Manage arrangements in line with individual preferences\n, • Ensure diaries are fully updated with all travel details\n\n \n Process Improvement & Leadership \n\n • Introduce and implement best practice operational processes\n, • Act as a role model and change agent within the support function\n, • Work closely with the Secretarial Team Leader to improve ways of working\n, • Take full ownership of tasks, managing workload against deadlines and business needs\n\n \n Working Environment \n\n • Collaborative, inclusive, and high-performing culture\n, • Hybrid working model, balancing office presence with flexibility\n, • Central London office location\n, • Strong emphasis on wellbeing, teamwork, and professional growth\n\n \n Candidate Profile \n \n Essential Skills & Experience \n\n • Proven experience supporting senior partners or executives in a Property/Real Estate department within a law firm\n, • Exceptional diary and inbox management skills\n, • Strong commercial and financial awareness\n, • Highly organised, proactive, and detail-focused\n, • Confident communicator with strong stakeholder-management skills\n, • Comfortable working at pace and handling competing priorities\n\n \n For more information, please apply directly or contact Jess at AJ Chambers.

At S&W, we help our clients thrive by simplifying the complex, illuminating new paths, and shaping solutions that make a difference. As one of the UK’s top 10 fastest-growing accountancy firms, we have been a trusted partner since 1881—helping businesses and individuals meet challenges and seize opportunities across generations. Built on expertise and driven by ambition, we provide a comprehensive range of services, including tax and accountancy, advisory and assurance, corporate finance, and restructuring. We are defined by our purpose—to help navigate challenges, unlock potential, and achieve the extraordinary. We’re seeking a talented individual to join our US/UK Private Client Tax team in London, where we are looking for a Private Client US / UK Tax Associate wh0 is responsible for preparation of US & UK tax returns. As a Private Client US / UK Tax Associate, your responsibilities will include among others: • Preparation of US & UK tax returns for a diverse portfolio of clients, • Training and mentoring 1st year associates, • Assisting Managers with tax planning and advisory services to private clients, addressing their unique tax situation., • Maintain and build strong client relationships through exceptional service and communication., • Stay updated on tax legislation changes in both the US and the UK, • Lending support to the Management team in continuing to build the US/UK tax team To be successful in this role, you should: • Relevant experience gained within a professional services firm., • Sound knowledge of private client tax issues with particular experience of advising US clients and non domiciled individuals, • In-depth knowledge of US and UK individual tax laws and regulations, • Demonstrable experience of managing complex compliance issues., • Good communication skills and ability to work in a team Professional Qualifications and Education • US Enrolled agent (EA) (or studying towards), • ATT (or studying towards) As a colleague here at S&W you will have access to benefits that include: • Competitive salary, • Private medical insurance, • Life assurance, • Pension contribution, • Hybrid working model (role dependent), • Generous holiday package, • Option to purchase additional holiday, • Shared parental leave, • Fully funded training towards professional qualifications, • Cycle to work scheme, • Season ticket loan, • Eye care support We are proud to value the differences that a diverse workforce brings, representative of society and our clients. At S&W we have a wide range of highly active employee resource groups and we’re delivering multiple diversity, equity and inclusion initiatives across the organisation. It is our commitment to provide a workplace where all colleagues, regardless of identity, background, or circumstance, feel respected as individuals and feel that they can achieve their full potential and work in a safe, supportive, and inclusive environment. We are happy to make any reasonable adjustments to accommodate for your needs throughout the application process. Please let your Recruiter know.

Kigen is an Arm and SoftBank backed technology company building the operating system that secures connectivity for the Internet of Things. Our eSIM and iSIM OS is embedded in devices shipping around the world, and we serve customers across Europe, Asia-Pacific and beyond. We are a growing, multi-entity group operating across the UK, India, Japan, South Africa, Denmark, France and United States running a single global ERP (NetSuite) with a consolidated group ledger, with third party local accounting and tax support where required. Our commercial model spans perpetual software licensing, hardware module supply, SaaS subscriptions and over-the-air (OTA) services — which makes our billing and receivables environment unusually varied and genuinely interesting to work in. Purpose of the role This role owns the financial accuracy of the accounts receivable and customer invoicing desk for the group. Acting as the bridge between finance and commercial operations, it exists to make sure every sale — across every entity, currency and revenue model — is billed accurately and on time, that cash is collected efficiently, and that our receivables ledger is clean, well-reconciled and audit-ready. It is a hands-on, detail-driven position with real ownership. You will be the go-to person for billing queries and collections across the group, working closely with the wider finance team, commercial operations and customers directly. What makes this role different Kigen's receivables environment is more complex than a typical AR desk — and that's a big part of what makes it rewarding: • Multi-entity and multi-currency, all consolidated in a single NetSuite ledger with a March year-end., • Several distinct revenue models — perpetual OS licences, hardware module reselling (including drop-ship), recurring SaaS subscriptions and usage-based OTA services — each with its own billing logic and timing., • Cross-border transactions that bring indirect tax (VAT / GST) and withholding-tax considerations into the invoicing chain., • A varied customer base, from global tier-one device makers to smaller connectivity providers — so credit-control judgement and relationship handling matter., • A scale-up in build mode — we're actively improving and automating finance processes, so there's genuine scope to shape how the AR desk runs rather than just operate it., • AI in the finance function — our CFO actively champions the adoption of Claude by Anthropic, and you'll help shape how billing is run with AI assistance while keeping key human-in-the-loop controls. What you'll do • Raise, review and issue customer invoices in NetSuite across all group entities, currencies and revenue models, with the correct commercial terms, purchase orders, contract detail and tax treatment. A third-party billing module will go live and will need managing and integrating with NetSuite., • Own credit control and collections group-wide using our automated dunning agent — proactively chasing overdue accounts, monitoring ageing and keeping days-sales-outstanding under control, and issuing customer statements., • Match and allocate customer receipts across multiple bank accounts and currencies, reconcile the AR ledger, clear differences and maintain accurate customer master data, credit terms and limits., • Support month-end close with AR reporting, revenue cut-off and aged-debt analysis, and provide receivables information for management reporting, cash forecasting and the annual audit., • Contribute to continuous improvement and automation of the order-to-cash process — with scope to cross-train and support the employee expense platform and bank reconciliations. What you'll bring Essential • Solid, demonstrable experience in accounts receivable, billing and/or credit control, ideally in an international or multi-entity business., • Hands-on ERP experience — NetSuite strongly preferred; comparable systems (SAP, Oracle, MS Dynamics) considered., • Experience of international transactions, working with multiple currencies and reconciling across bank accounts., • A high standard of accuracy and attention to detail., • A confident, professional communicator — able to chase payment firmly but tactfully and liaise across finance, sales and customers., • Well organised and self-directed, comfortable owning a workload with limited supervision in a fast-moving environment. Nice to have • Demonstrable experience of using AI without compromising accuracy or integrity., • Exposure to technology, SaaS, telecoms, semiconductor or IoT billing., • Familiarity with subscription and usage-based billing models., • Working knowledge of indirect tax (VAT / GST) and/or cross-border withholding tax., • Experience in a private-equity- or venture-backed scale-up., • Part-qualified accountant (CIMA / ACCA / equivalent) or actively studying — or a strong qualified-by-experience track record., • Experience with collections / billing automation or cash-application tooling. The working arrangement This is a permanent, part-time role, fully remote within the UK — ideal for an experienced AR specialist who wants a reduced-hours arrangement. You'll work within our global finance team and interact daily with colleagues across time zones, so some flexibility to overlap with UK/European and APAC counterparts is helpful. We'll tailor the hours to the right candidate. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, colour, sex, age, national origin, religion, sexual orientation, gender identity, disability or any other protected characteristic.

Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready. Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.How does this role contribute to our collective success?Data and analytics are of critical importance for AXIS. We turn data into information so the business can make decisions with confidence, identify opportunities early, and operate more efficiently. The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery team and is responsible for the quality of the AI the team produces, much of which now uses large language models and agentic approaches. The role leads this work from the point a business problem is framed, through the choice of approach and the build itself, to how the resulting solution is evaluated, validated and monitored in production. Working alongside the engineering lead, it sets the scientific standards that give the business confidence in what the team delivers.What will you do in this role?You will lead the team’s approach to solving business problems through advanced analytics and AI, guide how solutions are designed and built, and continue to contribute directly to technical work such as model development, experimentation, code review and solution architecture.You will lead the design and development of the team’s AI and ML solutions, choosing the right approach for each problem, with large language models and agentic AI increasingly central to the work.You will bring mathematical and statistical rigor to how problems are framed, how uncertainty is handled, and how the team judges whether a solution is good enough. You will build and evaluate solutions to the most demanding problems the team takes on, review the work of others to keep standards high across the delivery scrums. and act as the point of escalation for difficult technical decisions. You will hold sign-off on scientific approach and solution quality.In this role you will be responsible for:Leading the design and development of the team’s AI/ML solutions, and framing business problems so that the right approach can be chosen and the result measured against clear success criteria.Leading the design of generative and agentic AI solutions, including prompting, retrieval augmented generation, tool use and multi-step agent workflows, and the techniques needed to make them accurate and reliable.Selecting the right approach for each problem, with large language models and agentic AI to the fore, and drawing on deep learning, machine learning and statistical methods where they are the better fit.Owning the evaluation and accuracy methodology for the team’s models, agents and AI systems, including the metrics, test sets and acceptance thresholds that govern performance, with proper treatment of uncertainty and statistical significance, and the monitoring needed to detect drift in production.Leading the team’s responsible AI work, including bias and fairness testing, explainability, and validation of model and agent behavior against regulatory expectations.Solving the team’s most challenging problems, such as extracting information from unstructured documents, automating expert workflows with agents, optimization, forecasting, and portfolio and claims analytics.Owning the scientific design decisions on each solution, including choice of approach, model and method selection, and evaluation strategy, while working closely with the engineering lead on architecture and deployment.Writing production quality code and building solutions directly, particularly on novel or higher risk work.Setting the experimentation, evaluation, coding and documentation standards for the team, and raising them through code review, pairing and technical mentoring.Explaining methods, results and trade-offs clearly to business stakeholders, model risk, and governance forums.What you need to haveStrong, hands-on expertise with large language models and generative AI, including prompt engineering, retrieval augmented generation, fine tuning, and the design and evaluation of agentic systems that use tools and operate over multiple steps.Strong programming ability in Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior.A sound grounding in machine learning, including model validation and experimental design, applied where it is the right tool for the problem.Demonstrable experience designing evaluation and validation frameworks for AI systems, including methods for measuring the quality of large language model, retrieval augmented generation and agent outputs.A strong track record of building AI solutions that solve real business problems and of taking them from prototype to production.Practical experience with Databricks, MLflow and Spark based data processing.Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk.The ability to explain complex technical concepts clearly to non-technical and senior audiences.A track record of setting technical standards and developing other scientists and engineers.What we prefer you to haveExperience with agent frameworks and orchestration tools for building multi-step, tool-using AI systems.Experience in the insurance or reinsurance industry, with an understanding of underwriting, claims or actuarial data.A postgraduate qualification in a quantitative or computational subject such as computer science, statistics, mathematics or a related field.Role LevelExpertise: A recognized specialist in applied AI, including large language models and agentic systems, underpinned by strong mathematical and statistical foundations, who sets the scientific approach for the team and advises the wider function. The role typically requires a degree in a mathematical, statistical or computational field, often at postgraduate level, together with substantial experience building and evaluating AI solutions in production.Relationship Management: Acts as a trusted technical advisor. Influences senior stakeholders and governance forums, represents the scientific view of the function, and develops other members of the team.Complexity and Strategic Impact: Sets the approach for new and ambiguous problems where no established method exists. The work is strategic, the planning horizon spans quarters, and the decisions affect the reliability and trustworthiness of the team’s models, agents and AI systems.Autonomy and Authority: Works with a high degree of independence and is the technical authority that others escalate to. Holds sign-off on scientific approach and solution quality.Contribution: Sets best practice and standards for the design and evaluation of AI systems, including generative and agentic AI, responsible AI and overall solution quality, shapes how the team works, and drives improvements that raise the quality and confidence of the team’s AI work.Role FactorsIn this role, you will typically be required to:Attend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.Engage in company activities to grow your network and build a strong team culture.For this position, we currently expect to offer a base salary in the range of $110,000 - $130,000 CAD (Halifax, Nova Scotia); $175,000 - $200,000 USD (New York, NY) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. Where this role is based in the United States of America, this role is Exempt for FLSA purposes. This posting is for an existing vacancy.SummaryLocation: Halifax, NS; London - ScalpelType: Full time

Must be eligible SC or DV ClearancePermanent or ContractHYBRID (2 days a week onsite) Oxfordshire Initially but could change to London. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day.If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you.What You Will Be DoingWe are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped environments for defence and national security customers.This is a delivery role. You will own features end-to-end - from design through to deployment in constrained environments where reliability and security matter more than speed to market.Key ResponsibilitiesArchitect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalentIntegrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task executionDeploy AI systems into cloud, on-premises, and air-gapped environmentsBuild production-ready pipelines from data ingestion through to inferenceExperience with observability for AI systems, including agent behaviour, model performance, and failure modesCollaborate with engineers, product leads, and customers to translate requirements into working systemsContribute to evaluation frameworks, system integration, and performance trackingAct as a technical authority for agentic AI - setting design patterns for junior engineersRequirements RequiredActive SC clearanceCommercial experience building multi-agent or agentic AI systems in productionStrong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar)Experience deploying AI/ML systems into production environmentsFamiliarity with Docker, Git, and cloud platforms (AWS preferred)Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloudPreferredExperience with multimodal reasoningExperience with edge or offline AI deploymentsFamiliarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applicationsMLOps experience - model evaluation, monitoring, reproducibilityObservability tooling for agentic systems (model drift, agent behaviour, performance monitoring)Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A)Familiarity with MCPs for tool and context integration in agentic systemsFamiliarity with secure-by-design development principles (ISO 27001, NIST, OWASP)Experience in defence, national security, or similarly regulated environmentsContributions to open-source AI/ML projectsSoft SkillsDelivery-focused - you ship working systems, not prototypesComfortable operating across the stack when neededStrong communicator - can present to technical and non-technical stakeholdersThrives in small teams with high ownershipBenefits include:Rapid career progression and personal growthFlexible working hoursOpportunity to shape the future of a fast-growing businessHybrid working modelCompany pension (NEST) with 4% employer contributionPrivate Healthcare29 days holiday + public holidaysTPBN1_UKTJ

Overview:A globally recognised financial institution is seeking an ECA Agency Client Service Manager to join its Loan Agency Client Services team . This role focuses on delivering first-class relationship management to clients involved in Export Finance transactions , ensuring compliance with ECA policies and managing a complex portfolio with minimal supervision.Key Responsibilities:Portfolio Management: Act as Facility Agent, ECA Agent, and Intercreditor Agent for a portfolio of syndicated Export Finance loan transactions.ECA Coordination: Liaise with Export Credit Agencies on policies, insurance, and covered facilities.Deal Lifecycle Oversight: Manage the end-to-end lifecycle of deals, from mandate to final repayment, including amendments, waivers, and consents.Stakeholder Collaboration: Work with internal teams, clients, lenders, lawyers, and ECAs to onboard, execute, and close deals while resolving operational issues.Client Relationships: Develop and maintain strong client relationships to identify new business opportunities.Pricing & Repricing: Focus on pricing for out-of-scope events and opportunities to reprice on refinances and amendments.Requirements:Experience: Proven background in a comparable role , with a strong understanding of the Syndicated Loan Market and ECA-backed financing .Technical Skills: Ability to review agency provisions, manage amendments/waivers, and ensure compliance with ECA policy obligations .Soft Skills:Client-focused with a commitment to excellent customer service .Strong communication (written and verbal), time management, and presentation skills .Ability to work under pressure, manage priorities, and build relationships with internal and external stakeholders.Desirable: Experience in Project and Infrastructure Finance and credit exposure.Why Apply?This role offers the opportunity to manage a complex portfolio independently , work and specialist with global ECAs , and contribute to high-value transactions in a collaborative, client-centric environment . The hybrid working model and competitive salary make it an attractive proposition for experienced professionals.Location: LondonWorking Arrangement: Hybrid (2 days in office, 3 days at home)TPBN1_UKTJ

About BarhaleWho are Barhale?Barhale is a business founded on family values, having been established by our Chairman, Dennis Curran, in 1980. We are one of the largest privately owned civil engineering and infrastructure specialists in the UK, with over 40 years of experience in providing design, civil engineering and maintenance services working across multiple sectors, including:WaterTransportBuilt environmentEnergyWe operate as a tier one partner for blue chip, regulated and private clients, working as part of large frameworks, joint ventures and alliances, as well as on individual standalone projects, developing long-term relationships based on delivering to the Barhale values which have been integral to our business since their inception in 1985.Our direct delivery model is at the core of everything we do, as we believe that people are our greatest asset. Therefore, we robustly source, train and retain all our own frontline delivery teams as well as management and support services. We employ over 1,200 employees nationwide.We possess a range of specialist skills to support our civil engineering and infrastructure activities, including:TunnellingMEICATemporary and permanent designSteel-fabricationSigns (design and fabrication)Health & safety equipment and products, including PPECompany Website:https://www.barhale.co.uk/Company Showcase Video:https://www.youtube.com/watch?v=XFqsoclCUZAWhy join Barhale?As Gold Investors in People, we are committed to a high standard of people practices, creating an inclusive environment and ensuring cultural alignment to business strategy, ethos and philosophies.Job security, long-term secured work through various frameworks and large infrastructure schemesA broad range of civil engineering, mechanical and electrical schemes across some of the UKs largest infrastructure projects and clientsStrong career progression as demonstrated by our track record in promoting from within, as we believe this is a key driver of our successSub AgentThe RoleAs a Sub Agent, you will be responsible for the management of small-value civil engineering and construction sites or assist the Site Agent and Project Manager on larger value schemes, to achieve the required project delivery to the customers objectives while maintaining standards of health and safety, quality, environmental impact and cost control.Key ResponsibilitiesSite ManagementMaintain commercial performance of the contractBe responsible for the successful delivery of projectsProduce and manage the project programme and supervise the delivery of itUnderstand and interpret drawings and specificationsProvide engineering expertise and support to the project teamEnsure all staff, subcontractors and visitors are properly inducted, meet the competencies required of them and hold relevant qualifications and ticketsUndertake an ambassadorial role, representing the Business to customers, the public and official bodiesDeliver product to customer satisfactionProduce good quality, accurate monthly reports for the Client and internallyChair weekly site meetings in line with Company proceduresObtain all as built information ensuring that it is accurate and relevantHealth, Safety, Environment and QualityAlways comply with Company procedures and legal obligations, promoting best practicePromote the Barhale cardinal rules and establish safe working cultures and practices and environmental complianceMaintain and manage construction sites and subcontractors, developing positive working relationshipsOversee and ensure that all HSEQ-related documentation is kept up to date and briefed as necessaryEnsure that daily, weekly, and monthly inspections are carried out and that all audits and reports are producedLiaise with relevant third parties and government agenciesEnsure that the QA file is produced and maintainedEnsure the work is delivered snag/defect-free and on timeCost ControlPopulate and manage the Barhale cost plan for the projectMaximise project value and maintain commercial tension to drive out cost and challenge the status quoEnsure detailed site diaries/records are completedManaging ResourcesDeal with any actual or potential problems with resources promptlyEnsure that records of resources are complete and accurateAbout youEssentialConsiderable experience in Civil EngineeringWorking knowledge of NEC contract conditions, CDM regulations, design management, programme and risk management and cost control including forecasting, actual cost, and value reportingGood knowledge of specifications and testing regimes relevant to general civil engineeringDegree/HNC in Civil Engineering, or equivalentCSCS cardSMSTS cardNEBOSH or IOSHFull driving licenceExcellent communication, people, and team management skills with the ability to motivate others to achieve high standards of complianceAbility to challenge designs and resolve problems to a conclusionDesirableWorking towards CEng, IEng AMICE, or equivalentWater ExperienceTemporary Works Co-ordinatorLeadership experienceService avoidance trainingConfined space trainingAppointed person CPCS cardCaring and investing in youOur values have been embedded at Barhale for over 40 years, and they are our guiding principles regarding how we care and invest in people. Our values are our commitment to being a people-centric company.As a Gold Investors in People company and a Sunday Times 100 Best Company to Work For, we are committed to investing in people. We are passionate about creating a working environment where people are supported throughout their careers, where people can enjoy security and be part of a company that cares about them.From the moment you join us, your well-being and career aspirations will be supported by.Competitive salaryCompany PensionLife AssurancePrivate Medical25 days of annual leave in addition to 8 public bank holidays and loyalty days8 hours volunteeringEmployee Assistance Programme to support your mental, physiological and financial wellbeingFlexible benefits via salary sacrificeCompany car/green car scheme/car allowance/Van (dependent on position)Leadership & management training and coachingRegular line management engagement and appraisal to support your career progressionDevelopment supported by internal and externally delivered trainingContinuous service awardsWould you like to know more?Please contact our Recruitment team viaTPBN1_UKTJ

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Customer Experience Engineer – Technical (CXE-T) is a post-sales technical subject matter expert responsible for scaling deep product adoption through 1:many technical enablement, structured Proof of Concepts (PoCs), and high-impact technical assets. Unlike traditional program or lifecycle roles, this position is focused on technical depth and applied architecture guidance. The CXE-T designs and delivers scalable technical sessions, builds reusable PoC frameworks, produces advanced technical recordings and blogs, and serves as an escalation point for non-support Solutions Engineering–type questions across customer cohorts. This role amplifies impact across large customer populations through structured enablement systems, while occasionally leading targeted 1:1 workshops for high-impact customers or strategic technical initiatives. 1:Many Technical Enablement Design and deliver advanced technical sessions (webinars, live builds, architecture deep dives, workshops) for platform, DevOps, security, and engineering audiences. Create structured enablement series aligned to customer maturity stages (e.g., secure SDLC, supply chain hardening, container governance). Develop repeatable technical learning paths that drive adoption beyond initial onboarding. Structured PoCs & Applied Architecture Design scalable PoC frameworks that customers can adopt independently or via cohort-based execution. Define technical success criteria and evaluation benchmarks for common adoption scenarios (e.g., policy enforcement, image integrity, SBOM visibility, secure pipelines). Translate Docker capabilities into practical architectural patterns customers can implement. On exception, lead 1:1 customer workshops or guided PoCs for complex or high-value technical initiatives. Technical Content & Thought Leadership Produce deep technical assets: Recorded walkthroughs Architecture reference guides Advanced implementation blogs Reusable demo environments Build assets that directly support customer journey stages and remove common technical blockers. Act as a field-informed voice into Product and Engineering, surfacing real-world technical friction. Technical Advisory & SE/SA Overflow Support Serve as a subject matter expert for non-support technical questions that exceed standard documentation. Provide architectural guidance across: Secure build pipelines Software supply chain integrity Container security and governance AI/ML workload governance (where applicable) AI agent architecture patterns: isolated execution environments, MCP policy enforcement, model artifact provenance Partner with Sales Engineers and Post-Sales teams to ensure technical continuity without owning deal cycles. You are a deeply technical practitioner who enjoys teaching, systematizing expertise, and scaling architectural excellence across customer populations. You prefer building reusable technical systems over repetitive 1:1 firefighting, but can step into consultative workshops when required. Required 5+ years in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles. Strong hands-on expertise in: Docker and container ecosystems Secure software supply chain practices CI/CD pipelines and modern cloud-native architecture Experience designing and executing structured PoCs with defined success criteria. Ability to present complex technical topics clearly to senior engineering audiences. Strong written communication skills; experience producing technical blogs or deep technical content. Preferred Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments. Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance) Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads Familiarity with secure software supply chain practices, including SBOM generation and consumption, artifact signing, provenance (e.g., SLSA concepts), vulnerability management, and policy enforcement. Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production. Practical experience implementing or advising on Secure Software Development Lifecycle (SSDLC) practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration. Exposure to governance frameworks or regulatory models impacting modern development environments (e.g., NIST guidance, EU AI Act, internal enterprise policy frameworks). Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences. Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions directly influenced developer experience and risk posture. Primary Goal: Build product mastery, understand recurring customer friction patterns, and identify high-leverage enablement opportunities. Deeply immerse in Docker platform capabilities across security, supply chain, governance, and developer workflows, with particular focus on AI Gov and MCP Gateway as emerging customer conversation areas ahead of GA. Review existing CXE, SE, and Post-Sales materials to identify: Common architectural blockers Repeated SE/SA escalation themes Gaps in advanced technical documentation Shadow live enablement sessions and recent PoCs to understand maturity gaps. Audit current technical assets (recordings, demos, blogs) for depth and reusability. Define 2–3 high-impact technical themes where scalable enablement can reduce friction. Outcome by Day 30: Clear map of recurring advanced technical questions. Identified priority PoC/use-case patterns to formalize. Proposed first scalable technical asset or session outline. Primary Goal: Launch repeatable technical enablement and codify structured PoC frameworks. Design and deliver at least one advanced 1:many technical session (live or recorded). Build a structured PoC framework for a priority adoption scenario: Defined success criteria Clear architectural reference pattern Reusable demo environment or walkthrough Publish at least one deep technical asset (e.g., advanced blog, architecture guide, recorded lab). Establish lightweight intake process for non-support technical advisory questions. Partner with SE/Post-Sales to ensure technical consistency across pre- and post-sales. Outcome by Day 60: At least one repeatable enablement session running. One codified PoC pattern reusable across customer cohorts. Measurable reduction in repeated advanced technical questions in a target area. Primary Goal: Operate as the recognized post-sales technical authority and multiplier. Deliver a structured enablement series aligned to a customer maturity theme (e.g., secure pipelines, governance implementation). Expand PoC frameworks into reusable “customer-ready” kits. Develop a technical content backlog aligned to customer journey stages. Contribute field-informed feedback to Product and Engineering based on: Architectural friction Governance gaps Adoption blockers On exception, lead 1:1 advanced workshop or guided PoC for a high-impact customer use case. Outcome by Day 90: Demonstrable lift in technical adoption across a defined customer cohort. Library of scalable technical assets supporting key journey stages. Recognized internally as the go-to SME for advanced post-sales architecture questions. Docker does not offer visa sponsorship for this role. Compensation & Equity EU: €70,700K – €101K + equity Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave (after 6 months of employment) Technology stipend equivalent to $100 USD net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: The Synthetic Monitoring squad builds and operates _, used by teams globally to proactively verify that their critical user journeys, APIs, and services work as expected - before their customers notice they don't. Synthetic Monitoring is a multi-tenant distributed system implemented in Go, running on Kubernetes across all major cloud providers (AWS, GCP, Azure), executing billions of synthetic tests each month from probe locations around the world and from customer-operated private probes. The product is in a scale phase, and our focus is on making Synthetic Monitoring a deeply integrated part of Grafana Cloud: connecting checks to real user experience and cross-product investigation workflows, making check results a trusted signal for AI-assisted workflows, and enabling large organizations to operate the product at enterprise scale on our infrastructure and on their own private probes. The role is full-stack in the real sense: the same engineer who designs how a check execution flows through scheduling, probes, and the telemetry pipeline should also be able to build the workflow that lets a user understand and act on the result. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Software Engineers who are passionate about building reliable systems and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What you'll be doing: As a Software Engineer on the Synthetic Monitoring squad, you will work across the whole system - Go services and agents on the backend, a TypeScript/React application on the frontend and you'll be expected to reason about it as one system, not two halves. Specifically, you will: • Own features end-to-end across the stack: from API and data model design in Go, through the execution pipeline, to the user-facing workflows in TypeScript/React, • Design and evolve systems, not just features: contribute to architectural decisions on scheduling, probe lifecycle, telemetry ingestion, and API design that shape how the product scales, • Build the cross-product and AI-assisted workflows that connect Synthetic Monitoring to the wider Grafana Cloud platform, • Make the product operable at enterprise scale: the governance and organization primitives that let teams with hundreds of checks manage Synthetic Monitoring as code and with confidence, • Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback, • Ensure quality through testing, observability of your own systems, and documentation: our checks are something customers alert on, so reliability is a feature, • Be a part of the team's on-call rotation and take ownership of the services you're running We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Technologies you'll work with: • Go (backend services, APIs, and the synthetic monitoring agent), • TypeScript / React (the Synthetic Monitoring app in Grafana), • Kubernetes across AWS, GCP, and Azure, • k6 (the execution engine behind scripted and browser checks), • Grafana ecosystem (Mimir, Loki, Prometheus) What Makes You a Great Fit: • You are comfortable working in a remote-first company; communication is key., • For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team's decision. You are able to communicate design decisions clearly in written and spoken English., • Strong Go, or a path to it. We build Synthetic Monitoring in Go. Deep experience building and operating production backend systems in another systems language (Rust, Java, C++) translates well; backend experience limited to JavaScript/Node.js runtimes does not., • Operational mindset. You've run what you've built: you've owned production services, understand what it means to carry a pager, and treat reliability and toil reduction as part of the product., • You are a systems thinker: you reason about how components interact - data flow, failure modes, cost, and operational behavior - not just how a single feature works in isolation., • Pragmatism and short feedback loops. You break complex problems into increments: analyze, design, deliver an MVP, learn, iterate. You are able to design a solution, get feedback, and write a prototype by yourself - the ability to work on your own is crucial., • You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users' context and goals which will help you build the right solution with the maximum value., • You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: • Experience designing or operating multi-tenant SaaS systems at scale, • Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.), • Experience with Kubernetes in a production environment, • Familiarity with k6, Playwright, or browser automation at scale, • Experience contributing to or maintaining open source projects Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 72,000 - GBP 90,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

About us: At Pencil, we are driving innovation in advertising technology through our state-of-the-art SaaS product, which harnesses Generative AI to redefine content creation. Our mission is to make AI the default in advertising without replacing creative people. To achieve this, we need to make sure that our technology isn’t just in the hands of big brands - we need to try to help small businesses and creative individuals too. You’ll take over ownership of our platform that provides enterprise marketing teams and internal users with advanced planning and briefing capabilities. You’ll work closely with Engineering, Design and Creative teams to ship products that are innovative, reliable, and commercially impactful. This is a role for someone who loves experimentation, understands the realities of modern AI, and thrives in an environment where the future is constantly being rewritten. Key responsibilities: Drive product strategy and delivery for your area. Conduct product discovery through user research, data analysis, prototyping, and experiments to validate what really solves customer problems. Translate ambiguous opportunities into clear product plans, using structured thinking to bring focus, priorities, and alignment across teams. Create crisp PRDs, collaborate deeply with Design, and push projects from ideation to shipped with real tenacity. Define and evolve key systems such as workflows, agent behaviours, platform frameworks, APIs and creative tools, which combine human creativity with intelligent automation. Partner cross-functionally with Engineering, Design, Creative, and Go To Market teams to take features from concept to launch and iteration. Stay close to AI developments, understanding model capabilities, release cycles, and integration considerations so we build with the best available tools. Balance innovation with operational pragmatism, making trade-offs that keep us fast today and scalable tomorrow. Your background: Proven experience as a Senior Product Manager working on AI-enabled products, ideally experienced with creative, marketing or advertising technology, or complex platforms. Experience driving products from 0 → 1 and 1 → n, ideally in environments with high ambiguity and rapid iteration. Strong understanding of AI model behaviour, limitations, and opportunities, and how to design products that harness emerging capabilities responsibly. Experience structuring complex problem spaces, simplifying decisions, and creating clarity for teams. Strong product discovery skills: leading discovery workshops, forming hypotheses, running experiments, gathering insight from users and data. Experience working closely with cross-functional partners, including Engineering, Design and Commercial. Familiarity with creative ecosystems is a plus but not required. You’ll Thrive Here If you are… Curious and adaptable: thrive on learning what’s new and applying it quickly. A structured thinker: bring order to fast-moving, loosely defined spaces. Resilient and optimistic: see constraints as creative challenges. Commercially minded: connect product vision that solves customer problems with business outcomes. Collaborative and communicative: build strong, trusting relationships across teams. KPIs & Success Measures Delivery, adoption and engagement of new product capabilities that drive clients’ expected outcomes. Positive feedback from external and internal users on product quality, usefulness, and ease of integration. Improvements in efficiency, speed, stability,and output quality for workflows and tools you own. Contribution to frameworks, systems, or product foundations that empower other teams to build effectively. Clear documentation, roadmaps, and decision-making that help teams move quickly and in sync. Demonstrable impact on customer results, creative quality, or campaign performance through the product capabilities you deliver. Benefits: 25 days PTO plus public holidays, although we operate a Flexible Time Off scheme Health insurance / private medical cover Monthly stipend towards wellness, fitness, and learning and development Remote - work from anywhere in your home country Enhanced parental leave policies, whether you become a parent through birth, adoption or surrogacy Access to our Pencil office in The Shard, London for UK employees Flexible working hours Deep Dive About Pencil Pencil uses AI to make ads. Our mission is to make marketing effective and effortless. We want to become the default way ads get made - because AI ads are 10x faster and cheaper to make, and 2x better performing, than making them without AI. We’re called Pencil because we believe AI will be a tool for creative people, not a replacement - it may even be as fundamental a tool in the future as the pencil was in the past. Pencil was founded in 2018 with a team from Google, Facebook and Uber with backing from Sequoia and Entrepreneur First. We were acquired by The Brandtech Group in 2023 to pursue a shared vision of bringing GenAI to the Fortune 500. _ About The Brandtech Group The Brandtech Group’s mission is to be the best company in the world at helping leading global brands drive growth by connecting content, data and media using technology. It was founded in June 2015 (as You & Mr Jones) by former Havas Global CEO David Jones, with a simple mission to help brands do their marketing better, faster and cheaper using technology. It was renamed The Brandtech Group in January 2022. Today it generates more than $1BN in revenue and is the largest global digital content partner for many of the world's biggest brands and companies, often using its unique in-housing model. It works with eight of the world's top 10 global advertisers and 49 of the world's top 100. Clients include Banco Itaú, Danone, Google, Intuit, LVMH, Microsoft, Morgan-Stanley, Netflix, Reckitt, Renault-Nissan, PayPal, TikTok, Uber and Unilever. In addition, the Group invests in cutting-edge technology companies relevant to and with potential in marketing and has been investing in the AI, AR and the metaverse space since 2015. The Group was the first external investor in Niantic (creators of Pokémon Go), alongside investments in AI Foundation (AI digital twins, personalized AI, and deep-fake detection 2018), Automat (AI chatbots, 2016), Elsy (AI media planning, 2016), Jivox (dynamic automated content,, 2016), Crossing Minds (deep learning AI recommendation system, 2017), CreativeX (AI-driven content optimization, 2022), Zappar (AR, 2017), Provenance (blockchain, 2022) and GGP (the world's largest gaming fund). The Group is one of the most prominent marketing industry voices on the prediction and movement to AI-driven marketing, including Generative AI. It was named one of the World's Most Innovative Companies 2021 by Fast Company, and by CB Insights as one of the World's Most Valuable Private Unicorns. _

About This RoleAs a Senior Project Manager, you will lead Morningstar Wealth's most important strategic initiatives, partnering with senior stakeholders across the business to deliver meaningful change and measurable business outcomes.This role sits within the Wealth Project Management team, which serves as a bridge between strategy and execution. We partner with leaders across the business to deliver initiatives that improve how we operate, enhance the client experience, and support sustainable business growth.Success in this role requires more than strong project management skills. You will be a trusted partner to stakeholders, a leader of cross-functional teams, and a catalyst for change, bringing structure to ambiguity, aligning diverse perspectives, and translating strategic objectives into successful outcomes.Examples of initiatives may include platform and technology transformations, operating model improvements, regulatory and risk programmes, vendor implementations, business process optimisation, and strategic growth initiatives.What You'll DoLead strategic projects and transformation initiatives from initial scoping and business case development through implementation and close.Partner with senior stakeholders to define project objectives, scope, requirements, success measures, and delivery roadmaps.Build strong relationships across business functions, technology teams, and external partners to drive alignment and successful outcomes.Coordinate and motivate cross-functional teams across multiple regions, fostering collaboration, accountability, and a shared sense of purpose.Identify, manage, and communicate project risks, issues, dependencies, and decisions, ensuring challenges are addressed proactively.Provide clear and insightful project updates to stakeholders and senior leaders, focusing on progress, outcomes, value delivery, and key decisions.Analyse project and delivery metrics to identify trends, support decision-making, and improve project performance.Navigate complex and changing environments, helping teams prioritise effectively while maintaining momentum.Promote continuous improvement by identifying opportunities to enhance delivery practices, processes, ways of working, and stakeholder engagement.Contribute to the development of the Project Management team by sharing best practices, coaching team members, and helping strengthen project management capabilities across the organisation.Who You AreAn Experienced Project Leader: You have significant experience leading complex initiatives, typically gained through 5+ years of project management experience, ideally within financial services, wealth management, fintech, or another highly regulated environment.A Strategic Thinker: You understand how projects connect to broader business objectives and can translate strategy into actionable plans that deliver meaningful results.A Trusted Partner: Your communication skills, credibility, and collaborative approach enable you to build strong relationships and influence stakeholders at all levels, including senior leadership.A Confident Leader: You are comfortable leading cross-functional teams, facilitating difficult conversations, aligning competing priorities, and driving progress in complex environments.An Exceptional Problem Solver: You enjoy tackling ambiguity, breaking down complex challenges, and identifying practical, effective solutions that balance risk, effort, and value.An Agent of Change: You thrive in fast-paced environments and can help individuals and teams successfully navigate change while maintaining engagement and momentum.A Continuous Improver: You actively seek opportunities to improve processes, strengthen team performance, and elevate delivery standards across the organisation.Technically Versatile: You are experienced with a range of project management methodologies, including Agile, Lean, and traditional approaches, and understand when and how to apply each effectively. Experience with tools such as Jira, Confluence, Asana, or similar platforms is highly desirable.If you're passionate about delivering meaningful change, building strong partnerships, and helping teams achieve ambitious goals, we'd love to hear from you.Base Salary Compensation RangeGBP 59,400.00-82,866.66Bonus Target:12.5% AnnualWe expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate’s qualifications, experience, and other job-related factors.Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.U30_MstarAssocEur Morningstar Investment Management Europe Ltd. Legal EntitySummaryLocation: LondonType: Full time

Senior AI Product Manager | Series C FinTech | London (Hybrid) A well-funded Series C fintech is hiring an experienced product manager into an established AI team, to own a product surface and drive it toward agentic workflows. The company delivers data and analytics for institutional finance, trusted by leading banks and asset managers. AI here isn't a bolt-on. It's the core of the product, already live with real users, with the evaluation frameworks and engineering squads already built. You'll own a product area within a core product squad, embedded with an Engineering Lead, a Product Designer and 4-5 engineers. Your job is to ship features that save users hours of manual research and move core engagement, and to shape the next wave of agentic products. What you'll do • Own the end-to-end strategy and delivery for a core AI product surface., • Build agentic features: multi-step reasoning, tool orchestration, autonomous task completion., • Partner daily with ML engineers and data scientists on probabilistic systems., • Use the team's LLM-as-judge and SME evaluation cycles to hold output quality., • Interrogate model outputs and usage directly in Python notebooks and SQL., • Translate AI capabilities and limits clearly for non-technical stakeholders. What you'll bring • 5+ years in product, 2+ shipping GenAI, ML or agentic products to production., • Real working knowledge of RAG, embeddings, prompt engineering and LLM evaluation. This is the bar, not passing familiarity., • Enough Python and SQL to inspect model outputs yourself., • Evidence-led decisions that balance user needs against engineering constraints., • Comfort managing the tension between ML research and production deadlines. Nice to have: a data science or engineering background; fintech, B2B SaaS or data/analytics experience; NLP on complex documents; agent orchestration frameworks. Have you actually shipped LLM products, and want the ML engineers to treat you as a peer? Apply below! We champion the best people, regardless of background We know that exceptional product managers come from all walks of life and that great talent doesn't always fit into a neat set of bullet points. If you are a passionate builder who cares deeply about AI engineering and user craft, we want to hear from you. Please apply even if you don't match every single preferred criteria listed above.

ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're hiring our first Sales Enablement - Expansion to build the foundation of how ElevenLabs enables its global Customer Success and AE teams to drive adoption, expansion, and retention. This is a 0-to-1 builder role. You will define the strategy, build the infrastructure, and execute hands-on as we scale. What sets this role apart: we're looking for someone with a technical foundation and deep understanding of the post-sale motion. You've been in the room for complex customer implementations, usage reviews, and renewal negotiations. You understand what it takes for a CSM to drive product adoption and for an AE to identify and close expansion opportunities — because you've been that person. This role sits within Sales Enablement and reports to the Sales Enablement Lead, International. You will work in close partnership with: Customer Success leads, North America and International (owning customer outcomes, adoption, and retention) Sales leadership (owning expansion pipeline and commercial strategy) Product and Product Marketing (owning roadmap, messaging, and use case development) You will support a global team of CSMs and AEs across North America, EMEA, LATAM, and APAC. While CS and expansion enablement is your primary focus, you'll also support Sales Enablement across SDR and new business motions as needs arise. This is a full-stack enablement role on a lean team — you'll build content, deliver training, design e-learning, and flex across audiences as the business requires. Design and own ElevenLabs' global CS and expansion enablement strategy across onboarding, skill-building, and ongoing mastery Define what "Expansion Ready" and "Retention Ready" mean at ElevenLabs and build the paths to get CSMs and AEs there Establish scalable frameworks that support both the CSM motion (adoption, health, renewal) and the AE expansion motion (cross-sell, upsell) Create structured onboarding journeys for new CSMs covering product mastery, customer lifecycle management, health scoring, and renewal execution Design and deliver adoption playbooks that help CSMs drive usage, engagement, and value realization across customer segments Build churn prevention frameworks including early warning indicators, save plays, and escalation paths Enable CSMs to conduct effective business reviews, usage analyses, and value documentation Develop technical fluency programs so CSMs can confidently discuss APIs, agent configurations, integrations, and implementation best practices Create cross-sell and upsell playbooks for AEs covering expansion discovery, multi-product positioning, and deal execution Design enablement for identifying expansion signals — usage patterns, new use cases, stakeholder mapping, and whitespace analysis Enable AEs to articulate the full ElevenLabs platform story (Creative, Agents, and API) to drive multi-product adoption Develop competitive positioning for expansion conversations Partner with Customer Success leads to identify adoption gaps and build targeted enablement interventions Create customer-facing resources (guides, videos, best practices) that CSMs can use to drive self-serve adoption Build "Time to Value" programs that help customers realize ROI faster Develop renewal execution playbooks covering timeline management, stakeholder alignment, and negotiation frameworks Build and maintain enablement materials including playbooks, training decks, videos, workshops, and LMS content Collaborate with Product Marketing, Sales, and Product to translate product releases into CS and expansion-ready materials Develop role-play scenarios, call libraries, and coaching frameworks for managers Use ElevenLabs' voice and agent technology to create localized, voice-enabled training content Build AI-powered coaching tools and practice environments for CSMs and AEs Facilitate live virtual trainings, workshops, and certifications across regions and time zones Design async learning paths that scale globally Run regular enablement office hours and deal/account clinics Define and track enablement KPIs such as time to first value, net revenue retention, gross retention, expansion pipeline, CSM ramp time, and adoption metrics Partner with Customer Success and Sales leadership to connect enablement efforts to business outcomes Use data and feedback to continuously iterate on programs Document best practices, establish operating rhythms, and influence how CS and expansion enablement evolves as the customer base and sales org scale Measurable improvement in net revenue retention attributable to enablement initiatives Measurable reduction in churn rate CSM ramp time reduced to under 60 days to full productivity Expansion pipeline directly supported by enablement programs CS and expansion playbook library launched covering adoption, cross-sell, upsell, and renewal "Time to Value" framework adopted across the CS org Adoption enablement resources driving measurable increase in product usage metrics 4–7+ years of experience in customer success, sales enablement, solutions consulting, or GTM enablement in a SaaS or platform company At least 2 years in a customer-facing role (CSM, AM, Solutions, or similar) with direct experience driving adoption, retention, and/or expansion Technical fluency — you can navigate API documentation, understand integration architectures, and credibly discuss technical implementations Proven experience building enablement programs from scratch in fast-moving environments Full-stack enablement skills: live facilitation, content creation, e-learning development, and presentation design Strong understanding of B2B SaaS customer lifecycle, health scoring, and retention metrics Deep familiarity with expansion motions — cross-sell, upsell, and multi-product positioning Experience designing both live and self-serve training, including certification programs Confident facilitator and presenter for global audiences Strong stakeholder management skills across Customer Success, Sales, Product, and Marketing teams Analytical mindset with experience defining and tracking enablement effectiveness Comfortable operating across global time zones and cultures Fluency in English; additional languages are a plus Additional: Experience at a high-growth AI/ML, developer tools, or API-first company Background in voice AI, conversational AI, or contact center technology Experience with customer health scoring platforms (Gainsight, ChurnZero, Totango, etc.) Familiarity with usage-based pricing models and consumption-driven expansion Experience enabling both CSM and AE roles within the same organization Remote-first, globally distributed role. We have a strong preference for candidates based in Europe or the UK, to enable close collaboration with the Sales Enablement Lead, International, Customer Success leads, and London HQ. Exceptional candidates outside Europe will be considered if they can operate effectively across European and US time zones. The playbooks and programs you build will define how ElevenLabs retains and expands its customer base — directly impacting net revenue retention, customer outcomes, and the long-term health of our business. If you're excited to build from zero, operate at high velocity, and shape a foundational function, we'd love to hear from you.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI C3 AI's Forward Deployed Engineering organization sits inside some of the world's largest and most complex enterprises, turning signed contracts intoproductionAI systems that change how those businessesoperate. As Director, you will own a portfolio of our most strategic customer relationships end to end, from signature through production and into expansion, and you will lead the team of engineers who make that delivery happen. You will be two things at once: the executive the customer trusts to tell them the truth about their program, and theleaderyour team trusts to give them clear direction, real support, and room to grow. You set the technical and commercial roadmap for each engagement in your portfolio, run the relationship at the C-suite level, and build, staff, and develop the team of engineers executing against that roadmap. This is a role for someone who has run high-stakes client relationships, whether in top-tier consulting, enterprise software delivery, or technical program leadership, and who is ready to build and lead a team rather than sit inside a single account. You willoperateat the executive table with the customer, go deep enough technically to catch a bad scope or a wrong estimate before it becomes a delivery risk, and build a team capable of delivering without you in the room. • Own delivery outcomes across a portfolio of strategic accounts, from signed SOW through production go-live and into expansion, coordinating Forward Deployed Engineers (FDEs), Forward Deployed Team Leads (FDTLs), Presales, and customer stakeholders against a single delivery plan per engagement., • Set engagement structure across your portfolio - scope, milestones, dependencies, and value hypotheses - and hold the line on scope discipline as customer priorities shift., • Run executive briefings and steering committee updates across accounts, translating delivery status and technical trade-offs into language a C-suite sponsor acts on., • Own escalation management across your portfolio; when an engagement is at risk, you are the first call and the person who drives it back to green., • Manage a team of Forward Deployed resources across your portfolio, including hiring, onboarding, performance management, and career development., • Allocate staffing across accounts based on account priority, risk, and growth stage, and reallocate quickly when an engagement's needs change., • Set the technical and delivery bar for your team, and coach FDTLs and FDEs on how to run their own accounts with the same rigor you apply to yours., • Own headcount planning for your portfolio: build the case for new roles, identify underperformance early, and manage out where needed., • Create a bench strong enough that losing any single person does not put an account at risk., • Lead or oversee technical discovery across your portfolio, mapping customer workflows,identifyingdataand integration constraints, and defining MVP scope for new use cases., • Translate customer business objectives into sequenced technical roadmaps that FDEs and FDTLs execute against., • Hold architecture conversations with customer and internal engineering stakeholders credibly enough to evaluate trade-offs and catch scope or feasibility problems before they become delivery risk., • Get hands-on when it matters - pressure-test a data model, sketch an integration approach, or validate a data assumption yourself when it's faster than waiting on someone else., • Identifythe highest-value use cases across your portfolio and build the business case for each, including baseline metrics, target outcomes, and ROImeasurement., • Drive pilot-to-production conversion by removing organizational and technical blockers that stall adoption after a use case proves out technically., • Build the executive relationships that surface the next use case before the customer asks for it, turning single-workflow engagements into multi-year account growth., • Partner with Sales and Presales to shape expansion opportunities using direct field insight into where customer problems and appetite sit., • Codify what works across your portfolio into reusable patterns - scoping templates, value measurement frameworks, staffing models, and stakeholder playbooks - that other Directors and FDTLs can use., • Feed field signal back into Product and Solutions on where the platform and base applications fall short of what customers actually need., • 10+ years of experience in management consulting or FDE/delivery leadership, with meaningful time in enterprise software, professional services, or technical consulting; consulting leadership experience at the Associate Partner/Principal level (McKinsey, BCG, Bain, or equivalent) is strongly preferred., • BS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience., • Prior people management experience - hiring, developing, and performance-managing a team, not just leading a workstream., • A track record owning complex, multi-workstream delivery for Fortune 500 or large public-sector clients across multiple simultaneous engagements, with direct accountability for outcomes, not just process., • Direct experience with AI agent deployment, LLM-based systems, or enterprise AI platforms in production, with enough technical fluency to understand data architecture, integration patterns, and agentic system concepts well enough to scope work and evaluate trade-offs., • Comfortable enough with code to read a pull request, leverage agentic tools to write code, or follow a technical design doc without translation., • Executive presence: comfortable running C-suite briefings, navigating enterprise politics, and holding firm on scope and priorities under pressure from a sponsor., • High agency and comfort with ambiguity, including managing a team through it., • Demonstrated ability to build trust with both a customer's business stakeholders and their technical teams simultaneously, and to build that same trust with a team you manage., • Experience in a key industry vertical such as advanced manufacturing, energy, heavy industrial, CPG, agriculture, defense, or public sector., • Prior experience in a forward-deployed, embedded delivery model at another enterprise software or AI platform vendor with a professional-services or forward-deployed motion., • Experience building or scaling a delivery function or team, not just operating within one. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $180,000 — $230,000 USD C3 AI is proud to be an Equal Opportunity and Aff… #J-18808-Ljbffr

London | Hybrid Working A leading international financial services organisation is seeking an experienced AI Solutions Architect to join a growing AI and Innovation function at a pivotal stage of its AI transformation journey. This is a unique opportunity to play a key role in designing and delivering enterprise-scale AI solutions that drive business value across a complex, highly regulated environment. The Role Working across business and technology teams, you will take ownership of AI solutions from initial use case discovery through to production deployment. You'll be responsible for translating business requirements into secure, scalable and governed AI architectures while ensuring alignment with enterprise standards, security requirements and regulatory expectations. This role combines strategic architecture leadership with hands-on involvement in solution design, prototyping and delivery. Key Responsibilities Lead end-to-end AI solution design from concept through to implementation. Design enterprise AI architectures aligned to business objectives and technology strategy. Develop solutions across Microsoft's AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, Power Platform and Azure AI services. Drive architecture governance, risk assessments and approval processes. Collaborate with stakeholders across technology, security, data, risk and business functions. Ensure solutions meet security, data privacy and regulatory requirements. Support proof-of-concepts, prototypes and early-stage delivery initiatives. About You You'll bring a strong blend of enterprise architecture expertise and modern AI delivery experience, ideally gained within a large, complex and regulated organisation. Essential Experience Solution Architecture, Enterprise Architecture or AI Architecture experience. Strong understanding of Generative AI, Large Language Models (LLMs) and AI agent frameworks. Experience designing AI solutions using RAG, prompt engineering and knowledge-grounded architectures. Expertise in Microsoft AI technologies, including Microsoft 365 Copilot, Copilot Studio, Azure AI and/or Power Platform. Experience delivering solutions through formal architecture governance processes. Strong understanding of cloud platforms, enterprise integration, security and identity management. Excellent stakeholder engagement and communication skills. Desirable Experience Financial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR, EU AI Act and operational resilience frameworks. Why Apply? Opportunity to shape AI strategy and solution delivery within a major international organisation. Work on high-profile, enterprise-scale AI initiatives. Significant exposure to business leaders and technology decision-makers. Collaborative and innovative environment. Hybrid working model and excellent long-term career prospects. If you're passionate about building secure, scalable AI solutions and want to help drive enterprise AI adoption within regulated environments, apply now to avoid disappointment. To find out more about Huxley, please visit TPBN1_UKTJ

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Senior Frontend Engineer on our Website team, you'll be a co-owner of the platform behind _: the component library, content model and rendering stack that every page on our marketing site is built from. You'll shape direction and make key technical decisions with the team, likely with a focus area of your own but context across the whole system. This is a hands-on engineering role, and your primary output is high-quality component and schema code, plus the tooling that lets others build with it. Millions of people visit _ every month, and it is one of the main ways we win new customers. That comes with real responsibility. The decisions you make are seen at scale, and we set the quality bar accordingly. The defining challenge of this role is composability: a marketing site that marketers, and increasingly AI agents, can build pages with, without breaking design, performance or SEO. Build, scale and evolve our section library: the Astro components, Sanity schemas and design tokens that let us compose marketing pages consistently and accessibly. Own the content model. Design schemas that resist misuse, so an editor, or an agent, can build a page that is correct by construction rather than correct by review. Take Figma component specs all the way to production: responsive across mobile, tablet and desktop, accessible by default, matching design intent precisely. Extend the platform for AI-assisted development, so coding agents can generate on-brand, on-spec sections from a design spec as reliably as a person can. Own SEO integrity as a first-class engineering concern: canonicals, sitemaps, structured data, redirects, and no traffic cliffs on launch. Raise the bar on engineering standards across the website surface: thorough code review, patterns others can follow, and tests around the parts that actually break. Maintain and extend localisation across nine locales and a translation pipeline, so the system works for a global audience. Shape the technical direction of the website platform over the next 6 to 12 months, and champion its adoption with the people who publish on it. At least five (5) years as a software engineer, including three (3) at senior level, building front end for content-driven or marketing platforms. Real ownership of a content model in Sanity. You've designed schemas other people had to live with, and you have opinions about references vs. embedded objects, when a variant belongs in the schema versus at runtime, and how to stop a section library sprawling. GROQ and Portable Text are familiar territory. Deep front-end expertise: expert HTML, CSS and TypeScript, with a strong command of component API design and the developer experience of a shared library. You can work end to end. Comfortable owning the server side as well as the front end: SSR, serverless and edge runtimes, API routes, a SQL database, secrets and CI. You should be able to take a feature from schema to component to the route that serves it without handing off, and be happy debugging something that only reproduces in production. Solid understanding of responsive design, cross-browser compatibility and web performance, and comfortable building to WCAG 2.2 AA. Accessibility is part of your definition of done, not a separate pass. You care that marketing sites are measured, on performance, SEO, analytics events and conversion, and you're happy being accountable to those numbers. A strong sense of craft and attention to detail, and the judgement to balance design intent against engineering constraints. Strong communication and collaboration skills. You explain your reasoning, review generously, and treat levelling up the people around you as part of the job. Prior experience working on a large SaaS marketing website, at real traffic and with real stakes attached. Astro, or another islands or static-site framework. Cloudflare Workers, or another edge or serverless platform. Experience with AWS Lambda. Tailwind CSS v4, and experience working from a token-based design system. Experience, or strong interest, in making component libraries and content models consumable by AI agents. A strong design sensibility: an eye for visual detail and the judgement to push back on and improve design decisions, not just build them. Experience with localisation and internationalisation at scale for a global audience. Analytics and tag management implementation: dataLayer events, server-side tagging, getting attribution right without hurting performance. At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles _. 30 min call with our Technical Recruiter 45 min call with the Head of Website about your past projects 75 min practical exercise with one of our engineers. We hand you a real Figma section spec and work through how you'd model and build it. Collaborative, not Leetcode. 60 min call with leadership, focused on examples of collaboration, growth, and the details of your future team. Our preference is for this role to be based either in-office or remote in London, UK. We can also accommodate remote workers elsewhere in Europe subject to compliance and right to work checks. This is full-time employment only, usually through OysterHR. No contractors possible.

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. You'll be joining Crimson, one of Spotted Zebra's AI Augmented Delivery (AAD) Crews - a lean team made up of a Product Manager and two Product Engineers. This is a role for someone who genuinely lives and breathes building for end users. You'll partner directly with your PM to shape and define what gets built, bringing your own product intuition to every conversation, and then go away and execute - owning the build out largely solo, with the support of your crew and subject matter experts in Data Science and Design, and seeing it all the way through to production. No long hand-off chains, no waiting on others to unblock you. Just ownership, momentum, and shipping things that matter. Key responsibilities: • Partnering closely with your Product Manager to define, scope, and prioritise features - bringing your own product thinking to the table, not just taking a ticket and running with it, • Owning features end to end, from architecture decisions through to production, across the full stack (front end, back end, and everything in between), • Leveraging AI tooling throughout your workflow to move fast, bridge skill gaps, and operate effectively within a lean crew, • Writing and maintaining clean, well-considered TypeScript across both frontend (React) and backend (NestJS), with GraphQL APIs connecting the two, • Collaborating with subject matter experts - including a Staff Engineers, Engineering Managers, Designers, Data Science, QA, and DevOps - on an ad hoc basis as your work demands, • Contributing to a delivery culture that values speed, ownership, and continuous improvement over bureaucracy and hand-offs Requirements • Proven experience as a full stack engineer with strong proficiency in TypeScript and React, • A product-oriented mindset - you care about the why behind what you're building, not just the how, • Demonstrable experience taking features from concept to production independently, • Comfort using AI tools (e.g. Cursor, Copilot, Claude) as a genuine part of your engineering workflow - not just experimenting, but integrating them meaningfully, • Strong communication skills and the ability to self-manage within a small, high-trust team, • Experience working in a startup or early-stage environment, • Experience working in a B2B SaaS environment, • Enthusiasm for helping shape how AI-augmented delivery teams actually work in practice - we're building this model as we go, and your input will matter, • Familiarity with our broader tech stack, including NestJS, PostgreSQL, Redis, RabbitMQ, GraphQL, Apollo, or similar technologies, • Experience in HR tech Benefits 🤝 Meaningful share options 🏥 Health insurance 💰 Enhanced pension 🍼 Nursery salary sacrifice scheme 🏖️ 25 days holiday 🏠 Remote-first 💻 Work from home budget 🧠 L&D budget 🦷 Dental cover 👀 Eyes care support 🏢 Co-working space 🧘 Wellbeing allowance ✈️ Travel insurance 🚗 Electric car scheme At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. 🦓 Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

forgd is the consultancy partnering exclusively with Anthropic to help enterprises build AI-native businesses. We start with engineering — helping organizations move from individual developers using Claude Code to entire teams shipping together with AI-native workflows — and expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software are the same teams equipped to shepherd the rest of the business into this new world. We embed and co-build with customer teams. Cycles are short, delivery is iterative and accountable to clear outcome goals. As an Applied AI Architect, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. Most engagements start in engineering. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance. From there, the work expands: co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization to sustain either. You build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. Collaborate directly with Anthropic on customer engagements — joint working sessions, early access to product changes, and a direct line to their product and engineering teams. Lead Claude Code Labs and customer workshops Take customer teams from beginner to power user across Claude Code, Claude for Work, Cowork, and the developer platform Codify deployment patterns and feed them back to forgd's methodology and Anthropic's product teams Lead discovery into customer environments — engineering toolchains and workflows, business operations, and organizational dynamics — and turn that into clear technical plans Advise on how AI-native development changes existing engineering practices: issue management, branching, testing, code review, and security Guide adoption programs that scale Claude across engineering organizations and into business teams Scope engagements: assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude developer platform Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering teams measurably change how they ship software Customers become references Accounts expand on the strength of the work You May Be a Good Fit If You Have 3–5 years in a customer-facing technical role — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical Consultant — or in a hands-on engineering role as a Software Engineer or Product Engineer Software development experience in a high-scale startup or enterprise environment; you know what it takes to write, ship, and operate production code Production experience with LLMs — prompt engineering, agent design, and evaluation frameworks. Power user of Claude Code or equivalent AI coding assistants; you live in AI-native development yourself Familiarity with enterprise development toolchains, CI/CD, and modern SDLC practices, and cloud-native deployment on AWS, GCP, or Azure Communication skills that work across the room — individual contributors, engineering leadership, and business stakeholders High agency and comfort with ambiguity; you operate autonomously in customer environments Background in professional services or consulting Track record leading developer productivity or developer experience at scale Vertical experience in financial services, healthcare, or other regulated industries Experience driving organizational change Work at the frontier: Direct partnership with Anthropic — joint engagements, early access to product changes, and working sessions with their Applied AI team Founding team: You shape how we work and grow as we scale Remote: Fully remote across North American and European time zones Compensation and benefits: Competitive salary, equity, and full benefits We encourage you to apply even if you don't meet every qualification. Research shows people from underrepresented groups often hesitate unless they meet every requirement, and we don't want you to exclude yourself prematurely. If you're excited about AI-native engineering and want to help enterprises change how they build software, we'd love to hear from you. forgd is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We make hiring decisions on merit, and we provide reasonable accommodations for candidates who need them during the hiring process. Please note that we are unable to provide visa sponsorship for this role. All applicants must have the right to work in the United Kingdom without employer sponsorship, now or in the future.