24 jobs found

Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!

About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue chip international enterprise customer base, our mission is to become the world's preeminent Customer Intent Engine by combining privacy first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers. We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose built to handle data at this enormous scale efficiently, delivering tangible results. What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies. Today, Intent HQ is home to an exciting, diverse, and fast growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages. Recent Awards & Recognition: Best AI Ethics & Diversity Award 2025 - AI World Series Awards AI Business of the Year 2025 - The National AI Awards Analytics Company of the Year 2025 - British Data Awards AI Company of the Year 2024 - British Data Awards FT1000 Europe's Fastest Growing Companies - Financial Times & Statista Top 100 Edge Computing Company 2024 - STL Partners Why Join Us: Exciting Work Environment: Work on cutting edge technology at the intersection of AI and data analytics. Impactful Role shaping how the company moves forward Growth Opportunities: Advance your career in a fast paced, innovative industry Hybrid role: 3 days per week in our state of the art London office plus access to the onsite gym (including towel serviced showers and changing facilities) The Opportunity The AI Orchestration Architect is a hybrid business & technical role responsible for designing, building, and optimising intelligent AI systems composed of agents, workflows, and prompts-while simultaneously supporting the organisational transformation required to make these systems successful. You will sit at the intersection of multi agent orchestration, workflow design, prompt engineering, and organisational change. You will be our technical expert on agentic systems, but equally, you will be a change champion and trusted partner to stakeholders across the business as we transition to AI native operations where humans and agents work seamlessly together. You will translate ambiguous human goals into precise AI instructions, architect reusable frameworks, ensure AI agents collaborate safely and efficiently at scale, and help the organisation build the capabilities and confidence to embrace new ways of working. This role is critical to scaling AI driven automation while maintaining clarity, quality, and performance-and to bringing people along on the journey. Key Responsibilities Agent Architecture & Orchestration Design and maintain AI agent networks-roles, capabilities, handoff logic, and how agents interact with each other and humans. Build modular, reusable agent components and establish interaction protocols (delegation, escalation, safety guardrails). Ensure agents operate within clear boundaries and meet governance and compliance standards. Continuously evaluate and improve orchestration patterns based on real world performance. Prompt Engineering & Framework Management Design prompt chains for multi step and multi agent workflows. Build and maintain centralised prompt/agent libraries with versioning and testing frameworks. Translate business requirements into reliable, structured AI instructions. Establish quality standards and maintain auditable records of changes and experiments. Monitoring & Continuous Improvement Monitor agent behaviour, system health, and performance in production. Detect emergent behaviours-both beneficial and risky-and intervene proactively. Run experiments and A/B tests; lead post mortems to extract learnings and improve reliability. Connect technical improvements to measurable business outcomes. Enablement & Change Management As part of your team's mandate, champion the organisation's transition to AI native operations where humans and agents work seamlessly together. Design and deliver training on human AI collaboration. Help teams reimagine their processes and identify opportunities for AI augmentation. Build enthusiasm through clear communication and demonstrated value. Stakeholder Partnership Build trusted relationships across teams (product, engineering, operations, and leadership). Translate complex technical concepts for non technical audiences. Align competing priorities and bring diverse perspectives toward shared goals. Keep leadership informed on system performance, transformation progress, and emerging opportunities. About You You will thrive in this role if you are: A technical expert who can also lead change: You're deeply skilled in building AI systems, but you understand that technology alone doesn't drive transformation-people do. You're as comfortable coaching a colleague as you are debugging a prompt chain. An exceptional communicator: You can translate complex technical concepts for any audience, write with precision and clarity, and present a compelling vision that gets people excited. A systems thinker: You see connections and dependencies others miss. You design modular, reusable architectures and anticipate second order effects. Autonomous and ownership driven: You don't wait to be told what to do. You identify what needs doing, take responsibility for outcomes (not just tasks), and drive initiatives to completion. Stakeholder savvy: You build relationships easily, navigate organisational complexity, and influence without authority. You can work with multiple stakeholders simultaneously and manage competing priorities with grace. Metrics driven: You connect your work to business outcomes. You're energised by measurable improvements and use data to guide decisions. Detail oriented but pragmatic: You care deeply about quality, safety, and reliability-but you also know when "good enough" is the right call to keep momentum. Curious and adaptable: You're genuinely excited about AI's potential to transform work. You experiment freely, learn quickly, and stay calm in ambiguity. Experience & Qualifications Experience 3+ years working with LLMs, AI systems, workflow automation, software engineering, applied ML, or prompt engineering. Track record designing and deploying AI workflows, agent systems, or orchestration logic in production environments. Track record of influencing stakeholders at multiple levels. A plus if you have: Experience supporting or leading organisational change, transformation, or adoption initiatives. Experience designing and delivering training, enablement, or coaching (formal or informal). Background in technical writing, UX writing, linguistics, or systems design. Technical Skills Strong understanding of LLM behaviour, prompt engineering, and instruction design. Strong understanding of agent architectures and multi agent systems. Ability to analyse logs, metrics, and anomalous system behaviour. Familiarity with APIs, workflow tools, and system integration concepts. Comfortable with experimentation, A/B testing, and data driven optimisation. Communication & Influence Excellent written and verbal communication skills. Ability to present complex ideas clearly to technical and non technical audiences. Experience building trusted relationships across functions. Comfortable facilitating workshops, training sessions, and cross functional discussions is a plus. Mindset & Behaviours Proactive and autonomous; takes ownership of outcomes, not just tasks. Strong commercial instinct-connects technical work to business value. Energised by helping others succeed. Comfortable operating with ambiguity and pioneering new ways of working. High adaptability and commitment to continuous learning. What We Offer Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards . click apply for full job details

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Apply service design mindset and methods-research, synthesis, mapping, modelling, prototyping-based on what the context needs Plan and run interviews, workshops and desk research to build a clear picture of users, operations and constraints Turn complexity into clear insights and practical opportunities Co create future service options with stakeholders; facilitate alignment and decision making Choose the right level of fidelity to communicate how services work-from simple visually compelling design led narratives to detailed process models Test concepts through lightweight pilots, simulations or behavioural experiments. Use AI tools (e.g., Copilot, Miro, ChatGPT, Claude, agentic workflows, and other generative tooling) to accelerate sensemaking and option exploration Present implications and recommendations in straightforward, actionable terms for senior stakeholders Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. A systems oriented thinker who treats service design as a way of thinking, not a set of deliverables Confident conducting research and synthesising evidence into direction Skilled at communicating across operations, policy, product and technology-both technically and creatively to inspire and Comfortable challenging assumptions constructively and proposing alternatives. Curious and already integrating AI into analysis, synthesis or modelling Adaptable across roles - researcher, facilitator, modeller, prototyper - based on need. Adapt the approach to the situation; avoid rigid frameworks Use AI intentionally to speed analysis and broaden scenario exploration Produce outputs that teams use to make decisions and deliver change Guide teams through ambiguity with structure and plain language Work well in multidisciplinary teams and as an IC when the project requires it Keep focus on outcomes: better decisions, better services, better experiences. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Competency interview (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

Product Manager - Tech Against Terrorism Tech Against Terrorism - London TAT HQ - Hybrid - Full Time Job Title: Product Manager - Threat Intelligence Reports to: Head of Product Start date: ASAP Location: London, UK, hybrid (3 days per week in central London office) About Tech Against Terrorism Tech Against Terrorism aims to save lives and prevent harm by disrupting terrorist activity online while upholding human rights, combining open-source intelligence investigations with sophisticated technical tooling and capacity-building for governments and tech platforms. The organisation works closely with the United Nations, democratic governments, tech companies, and civil society, and its Threat Intelligence team underpins threat analysis, specialist services, and training delivered to partners worldwide. Our flagship technical product is the Terrorist Content Analytics Platform (TCAP), a secure alerting and analytics system that detects and verifies terrorist or violent extremist content online and notifies platforms so it can be reviewed and removed. Since launch, TCAP has alerted a large and growing number of technology companies to tens of thousands of pieces of terrorist content, and now also provides a curated archive and hash-sharing capability to support research, moderation, and disruption efforts. The Role Tech Against Terrorism is seeking a Product Manager to own the development, roadmap, and strategic impact of our open-source intelligence technical products that disrupt online terrorism. You will act as the bridge between our threat intelligence operations and our engineering capabilities. To succeed, you must understand the tradecraft and the data; you will use this expertise to design tools that empower analysts and disrupt terrorist networks. You will have a remit across the entire tech stack, primarily focusing on the TCAP, but also driving the internal adoption of agentic AI workflows, proprietary tools, and licensed third-party software. This role is suited to either an experienced threat intelligence professional who has transitioned into product management, or a product manager with demonstrable experience working in an open-source intelligence role. Either way, you must be able to operate credibly across both disciplines from day one. This is a new role with a broad and varied remit, and the opportunity to lead a world-leading threat intelligence technical capability with demonstrable impact on the core mission of disrupting terrorist use of the internet. Further to this role, you will on occasion contribute to projects delivered through our sister organisation QuantSpark, an AI consultancy that builds data products for enterprise and public sector clients. On these projects, you will deploy your expertise to build products for government and national security clients, ensuring delivery to budget, scope, and a high standard of client satisfaction. What You Will Do Own the TCAP Manage the full lifecycle of the Terrorist Content Analytics Platform: roadmap, performance, and delivery. This means driving innovation and new capabilities by directing the priorities of our data science, software engineering, and cloud engineering team. Drive AI AdoptionLead the introduction of new tools within the OSINT team, identifying where technology can reduce analyst burden and accelerate operational disruption. You do not need to write code, but you will need a solid conceptual understanding of how LLMs and AI agents work to manage engineers effectively and make good build-vs-buy decisions. Deliver Operational Impact Your product decisions should translate directly into increased analyst capacity, broader coverage of terrorist activity online, improved analytical precision, and more effective disruption. You will own the metrics that demonstrate this, building dashboards and reports that give stakeholders clear, actionable evidence of mission impact. Intelligence Collection and Monitoring This role includes fractional participation in TAT's core OSINT collection rota, estimated at approximately one day per week. This involves monitoring, investigating, and analysing emerging terrorist and violent extremist activity online, producing timely and accurate assessments using best-practice OSINT tooling and tradecraft, and helps ensure that technical products remain grounded in the latest understanding of the threat landscape. During periods of surge activity, such as live crisis incidents, you will operate as a core member of the Threat Intelligence team. Enable Commercial CustomersOversee the success of external users accessing our Data-as-a-Service products, APIs, and hash-sharing capabilities, and work with senior leadership to communicate value to funders and commercial partners. Technical Strategy and Global StandardsApply a solid foundational understanding of LLMs and AI principles to guide how these technologies are adopted within the organisation. Contribute to TAT's mission of setting global standards for the use of technology and AI in countering terrorist use of the internet. Working Arrangements Core hours are .On occasion you will require an early start or late finish to overlap with international team members in Canada and Australia. Working hours can be flexed to accommodate this. On call:a minimum of one weekend on call per month. Longer hours may be required during live incidents, but these are the exception rather than the norm. Travel:international travel approximately once per quarter to attend conferences or run stakeholder training sessions. Subject matter:this role involves regular exposure to terrorist and violent extremist material. We take the wellbeing of our team seriously and have support structures in place, including the use of a dedicated counselling and therapeutic support service. Why This Role You will have genuine influence over tools that are actively used in counter-terrorism operations globally. You will represent TAT and contribute to the global conversation on technology standards in counter-terrorism, building a public profile that few roles offer. A dedicated training and development budget to support your growth. A small, expert team where your contributions are visible and your voice is heard. The rare opportunity to apply deep domain expertise to a product challenge that genuinely matters. What We Are Looking For Essential Intelligence Background:Experience in intelligence analysis, OSINT, or counter-terrorism. You must understand the adversary, the data, and the analytical tradecraft involved. Product Management Foundations:A solid grounding in product management principles with demonstrable experience leading or overseeing the delivery of a technical product. Technical Literacy:A strong conceptual understanding of core technical principles, specifically how LLMs and AI agents work and how they can be effectively deployed. You do not need to be a developer, but you must be technically fluent. Project Delivery:Experience delivering complex projects to scope and budget. Stakeholder Communication:Excellent written and verbal skills, capable of explaining complex technical concepts to non-technical stakeholders such as funders and government officials. Working at Pace:Demonstrable experience working on early-stage products within fast-paced environments, with high ambiguity and fast-changing requirements. Desirable Formal product management experience in a software environment. Familiarity with OSINT platforms and technology. Experience developing data products using low/no-code application development tools. Proficiency in languages relevant to counter-terrorism (Arabic, Urdu, etc.). Experience with SQL or dashboarding tools. Equal Opportunities We welcome applications from everyone We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.

About the roleWe're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient.Our mission is to supercharge internal teams - from Finance and Compliance to Product, QA and beyond - by building AI-powered tools, integrations and automated workflows. You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work.This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you.You'll also be working at the frontier of AI tooling - building with LLMs, experimenting with new approaches, and figuring out what's possible. What you'll be doing Build AI integrations and data sources Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more) Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business Work with security and data governance requirements to ensure integrations are safe and appropriate Enable others to build with AI Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions Deliver measurable impact Work closely with the PM and engineering lead to identify the highest-leverage opportunities Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn Stay curious about emerging tools and techniques - and apply them where they'll genuinely move the needle What we're looking for Essential 4+ years of software engineering experience Strong full-stack skills in Python or TypeScript Experience shipping containerised software to Kubernetes Proven experience building AI tooling used by others in a commercial environment Comfortable working with LLMs, embeddings and AI application patterns Experience designing and building API integrations Self-starter who takes ownership end-to-end - from understanding the problem, through design and implementation, to monitoring and iteration Motivated by impact - you want to see your work used and making a difference Nice to have Experience with workflow automation tools (n8n, Zapier, Make or similar) Familiarity with vector databases (Pinecone, Weaviate, pgvector) Experience with AWS Bedrock or other LLM provider APIs Knowledge of MCP (Model Context Protocol) Frontend skills with Next.js or React for internal tooling How you'll work You'll join a small, focused team where you'll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM - you'll figure out the "how", design the approach, build it, and make sure it keeps delivering value.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business - and you'll hear about it when something you built makes their day easier. See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency. High leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership. Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable. Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling - applied to real problems, not just proof-of-concepts. Interview process 1. Screening call with Hiring Manager2. Take-home task3. Technical interview based on the task4. Final interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London

Job Title: Full stack Engineer Location: Cardiff Hybrid / Flexible Working Salary: up to £50,000 + up to 20% annual bonus + benefits Stability, flexibility and the opportunity to work on greenfield projects within one of Europe's leading financial experts, sound interesting to you? LDMS - About Us Founded in 2018, LDMS is part of the LC Financial Holdings group, a 3 pillar organisation that has over 950 employees across Europe. Together, we have an impressive track record of providing world class credit expertise that spans over 20 years. We are a Fintech company focused on digital lending software, a market growing around 18% per year and set to be worth $27 billion by 2028. Given our expertise within the company and across the group we aim to be the leader in the space, and in order to do that we need a team of people who can not just write quality code but can think, create and challenge others to come up with the best solutions for our customers. We are an ambitious team with a pretty big 'to do list' including improving existing products, building new ones and delivering to new markets. The Role We're hiring a full stack engineer to help own the shared foundation that every Product Team builds on - shared components, design system standards, tooling, and architecture. This isn't a feature team. Your work has a multiplying effect, the components you build and the standards you help shape are used by every team that ships product. You'll rotate into Product Teams to support them on new patterns and challenges, staying close to how the foundation is used and bringing what you learn back. We believe AI and agentic development has thrown out the old playbook. The way software gets built is being rethought from the ground up, and we're not sitting that out. We're figuring out what it looks like for us - and you'll be part of shaping it. If you want to influence how teams develop software, this is for you Key Responsibilities From time to time, the key responsibilities may change or be adapted to the needs of the business; however, the below gives an overview of the key focus areas. Own and evolve the shared component library Build and maintain shared backend modules, SDKs, and platform-level services used across Product Teams Contribute to shared modules and platform-level services Own and evolve the backend architecture - APIs, data models, and service patterns Improve the backend build pipeline, tooling, and developer experience Support Product Teams through rotations, reviews, and direct collaboration Drive continuous improvements to engineering practices Essential Experience developing REST APIs with Java (preferably Java 8+) and Spring Boot Knowledge of SQL DB's, preferably Postgres or Oracle Experience building frontend applications with React and TypeScript (or a comparable modern framework) Experience with Docker or other containerization tools Experience working with modern Continuous Integration tooling such as Jenkins Experience with version control systems such as Git Experience with automated unit and integration testing A passion for solving problems Good verbal, written and communication skills Desirable Experience developing on the Cloud such as AWS, GCP, Azure Experience with end-to-end testing tools such as Playwright, Selenium, or WDIO Experience using Temporal for workflow orchestration Financial services or regulated industry background You've been working with AI-assisted or agentic development, or you're actively excited about where it's heading What's important to us? It's safe to say our passion is tech, but we recognise that the people we hire and bring together are at the heart of the organisation. Over the years, we have acquired and recruited a pretty eclectic bunch with hobbies ranging from gaming to ultra marathon running, snowboarding to chess and hiking and climbing; However, what we do have in common are our values: Teamwork Merit Develop Honest Impactful Integrity They may look like corporate jargon, but they mean something to us. If you can relate to the above, get in touch, as there's a good chance that you'd be a great addition to the team. Benefits Discretionary Bonus (Up-to 20%) 25 days annual leave (plus bank holidays) 1 day Birthday leave day Charity leave Private Health Insurance EAP Pension (3% / 5% contribution) Salary sacrifice - (Bike & Electric Vehicle Scheme) Monthly socials Charity Events

About the roleWe're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient.Our mission is to supercharge internal teams - from Finance and Compliance to Product, QA and beyond - by building AI-powered tools, integrations and automated workflows. You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work.This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you.You'll also be working at the frontier of AI tooling - building with LLMs, experimenting with new approaches, and figuring out what's possible. What you'll be doing Build AI integrations and data sources Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more) Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business Work with security and data governance requirements to ensure integrations are safe and appropriate Enable others to build with AI Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions Deliver measurable impact Work closely with the PM and engineering lead to identify the highest-leverage opportunities Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn Stay curious about emerging tools and techniques - and apply them where they'll genuinely move the needle What we're looking for Essential 4+ years of software engineering experience Strong full-stack skills in Python or TypeScript Experience shipping containerised software to Kubernetes Proven experience building AI tooling used by others in a commercial environment Comfortable working with LLMs, embeddings and AI application patterns Experience designing and building API integrations Self-starter who takes ownership end-to-end - from understanding the problem, through design and implementation, to monitoring and iteration Motivated by impact - you want to see your work used and making a difference Nice to have Experience with workflow automation tools (n8n, Zapier, Make or similar) Familiarity with vector databases (Pinecone, Weaviate, pgvector) Experience with AWS Bedrock or other LLM provider APIs Knowledge of MCP (Model Context Protocol) Frontend skills with Next.js or React for internal tooling How you'll work You'll join a small, focused team where you'll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM - you'll figure out the "how", design the approach, build it, and make sure it keeps delivering value.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business - and you'll hear about it when something you built makes their day easier. See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency. High leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership. Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable. Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling - applied to real problems, not just proof-of-concepts. Interview process 1. Screening call with Hiring Manager2. Take-home task3. Technical interview based on the task4. Final interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London

Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Job Title: Frontend Engineer Location: Cardiff Hybrid / Flexible Working Salary: up to £50,000 + up to 20% annual bonus + benefits Stability, flexibility and the opportunity to work on greenfield projects within one of Europe's leading financial experts, sound interesting to you? LDMS - About Us Founded in 2018, LDMS is part of the LC Financial Holdings group, a 3 pillar organisation that has over 950 employees across Europe. Together, we have an impressive track record of providing world class credit expertise that spans over 20 years. We are a Fintech company focused on digital lending software, a market growing around 18% per year and set to be worth $27 billion by 2028. Given our expertise within the company and across the group we aim to be the leader in the space, and in order to do that we need a team of people who can not just write quality code but can think, create and challenge others to come up with the best solutions for our customers. We are an ambitious team with a pretty big 'to do list' including improving existing products, building new ones and delivering to new markets. The Role We're hiring a frontend engineer to help own the shared foundation that every Product Team builds on - shared components, design system standards, tooling, and architecture. This isn't a feature team. Your work has a multiplying effect, the components you build and the standards you help shape are used by every team that ships product. You'll rotate into Product Teams to support them on new patterns and challenges, staying close to how the foundation is used and bringing what you learn back. We believe AI and agentic development has thrown out the old playbook. The way software gets built is being rethought from the ground up, and we're not sitting that out. We're figuring out what it looks like for us - and you'll be part of shaping it. If you want to influence how teams develop software, this is for you. Key Responsibilities Own and evolve the shared component library Maintain and improve the design system and UI standards Improve the frontend build pipeline and developer experience Build and maintain shared frontend testing frameworks and quality standards Contribute to shared modules and platform-level frontend features Drive continuous improvements to frontend architecture Support Product Teams through rotations, reviews, and direct collaboration Essential 3-5 years of frontend engineering experience, with time spent on platform work or component libraries Strong React and TypeScript fundamentals Experience building with MUI or a comparable component library You've built and maintained a design system, not just used one You can take a UI idea - sketch, design file, or conversation - and turn it into something engineers can build from You care about the details. Not just whether it works, but whether it feels right. You take pride in UI and UX that's genuinely good Solid across unit, integration, and end-to-end testing (Vitest, WebDriver, Playwright) Experience with version control systems such as Git Comfortable working within Agile teams and contributing to sprint ceremonies Desirable Experience with Figma, wireframing, or prototyping Familiarity with Vite, Rollup, or similar build tooling Experience with Docker or other containerisation tools Cloud platform exposure (AWS, GCP, or Azure) Financial services or regulated industry background You've been working with AI-assisted or agentic development, or you're actively excited about where it's heading What's important to us? It's safe to say our passion is tech, but we recognise that the people we hire and bring together are at the heart of the organisation. Over the years, we have acquired and recruited a pretty eclectic bunch with hobbies ranging from gaming to ultra marathon running, snowboarding to chess and hiking and climbing; However, what we do have in common are our values: Teamwork Merit Develop Honest Impactful Integrity They may look like corporate jargon, but they mean something to us. If you can relate to the above, get in touch, as there's a good chance that you'd be a great addition to the team. Benefits & Perks Discretionary Bonus (Up-to 20%) 25 days annual leave (plus bank holidays) 1 day Birthday leave 1 day Charity leave Private Health Insurance EAP Pension (3% / 5% contribution) Salary sacrifice - (Bike & Electric Vehicle Scheme) Monthly socials Charity Events

About us At Fenergo, we're not just building software-we're transforming how the world's leading financial institutions fight financial crime. Headquartered in Dublin and trusted by over 100 of the world's top financial institutions, we're on a mission to change the game. We're more than a global leader in AI-powered client lifecycle management-we're reimagining how financial institutions tackle compliance. From Know Your Customer (KYC) and Anti-Money Laundering (AML) to rapidly evolving regulations, we turn complexity into clarity. Our FinCrime Operating System, powered by agentic AI and intelligent automation, helps financial institutions move faster, act smarter, and stay safer across 120+ countries. But we don't stop there. At Fenergo, we believe in a world where financial institutions aren't just compliant-they're confident. Where technology doesn't just meet regulations-it stays ahead of them. Our mission is to empower financial institutions to stop financial crime and create a safer world. Every product we build, every innovation we deliver, and every partnership we forge is shaped by that belief. We're tackling some of the toughest challenges in financial technology. From speeding up onboarding to uncovering hidden risks, our work empowers banks to serve their customers with speed, integrity, and peace of mind. Join us, and be part of a team that's building smart solutions, solving real problems, and shaping the future-together. The Role We are seeking a Director of Product Design to lead and evolve Fenergo's design function across our product portfolio. This is a senior role responsible for defining and driving a bold design vision, building a high performing team, and embedding user centric and workflow centric thinking across the organisation. You will play a critical role in reimagining both user experience and underlying workflows, simplifying complex financial processes into intuitive, scalable, and impactful B2B SaaS solutions. This includes working closely with clients and internal stakeholders to uncover pain points, challenge existing paradigms, and design future state experiences. You will partner closely with Product, Engineering, and Customer teams to shape product strategy, influence the roadmap, and deliver differentiated experiences for complex, data rich financial workflows. This is a unique opportunity to work on mission critical software used by leading global financial institutions and to redefine how users interact with compliance and regulatory platforms in a modern SaaS fintech. Key Responsibilities Define and execute a forward looking UX and workflow design vision aligned with Fenergo's product strategy and business goals Reimagine end to end user journeys and operational workflows to simplify complex financial crime, onboarding, and regulatory processes Partner with clients and customer facing teams to co create solutions, deeply understanding user needs, pain points, and real world constraints Lead, mentor, and scale a high performing product design team, fostering a culture of innovation, ownership, and excellence Establish and evolve design processes, standards, and best practices, with a focus on outcome driven and hypothesis led design Champion user centered and workflow centric design, ensuring insights and data directly shape product direction Collaborate closely with Product and Engineering leadership to align vision with feasible, scalable delivery Drive the development and adoption of a robust, scalable design system that supports consistency and speed across the platform Ensure cohesive, intuitive experiences across complex, configurable, enterprise grade SaaS products Act as a strategic partner at the executive level, advocating for design as a driver of business value and competitive advantage Measure and continuously improve design impact through user outcomes, workflow efficiency gains, and product metrics Requirements Proven experience in a senior design leadership role (Director or Head of Design level), with ownership of design vision and strategy Strong background in B2B SaaS product design within complex, workflow heavy or enterprise environments Demonstrated ability to simplify complex systems and reimagine user workflows, not just interfaces Experience working directly with customers or end users to shape product direction and validated design decisions Track record of building and scaling high performing design teams and design functions Deep expertise in UX, product design, service design, and design systems Strong strategic thinking with the ability to translate vision into tangible product outcomes Experience working cross functionally with Product and Engineering in agile environments Excellent communication and stakeholder management skills, with the ability to influence at executive level Nice to Have Experience in financial services, fintech, or regulatory technology (RegTech) Familiarity with compliance driven, operational, or workflow intensive platforms Experience designing for data rich, highly configurable, or rules driven systems Exposure to service design, journey mapping, or operational transformation initiatives Experience incorporating AI/automation into user experiences, particularly in complex decisioning environments Our promise to you We are striving to become global leaders across all of the categories we operate in and as part of that we are a high performing highly collaborative team that works cross functionally to accommodate our client's needs. Collaboration: Working together to achieve our best Outcomes: Drive Success in every engagement Respect: A collective feeling of inclusion and belonging Excellence: Continuously raising the bar What's in it for you Health insurance 25 days annual leave plus, 3 company days Work From Home set up allowance Exposure to our local wide partner community Opportunity to work with clients and colleagues on a global scale for a world leader in Client Lifecycle Management Other competitive company benefits, such as flexible working hours, work from home policy, sports and social committee and much more Extensive training programs, through 'Fenergo University' where you will be certified in all of the Fenergo products Opportunity to work on a cutting edge Fintech Product, using the latest tools and technologies harnessing AI Defined training and role tracking to allow you to see and assess your own career development and progress Diversity, Equality, and Inclusivity Fenergo is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, where all employees are valued, respected, and can reach their full potential. We do not discriminate based on race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law. Our hiring decisions are based solely on qualifications, merit, and business needs. We believe that a diverse workforce enriches our company culture, fosters innovation, and contributes to our overall success. We strive to provide a fair and supportive environment for all employees, promoting equal opportunities for career development and advancement. We encourage all qualified individuals to apply for employment opportunities and join our team in contributing to a collaborative and inclusive work environment.

Senior Platform Engineer page is loaded Senior Platform Engineerlocations: London: Manchestertime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-3675 Senior Platform Engineer Manchester or London (UK) We're hybrid, spending 2 days a week in the office We build tools that help people save money.Through MoneySuperMarket, MoneySavingExpert, Quidco, and our B2B partnerships, we support over 24 million people every month and help UK households save billions each year. It's something we genuinely care about, and it shows in how we build our tech.Our products are built by small, friendly, highly collaborative teams of engineers, designers and product managers. We pair and mob when it makes sense, write tests, automate as much as we can, and ship to production multiple times a day through well oiled CI/CD pipelines. We like simple solutions, fast feedback, and learning together. The roleWe're looking for a Senior Platform Engineer to join our Platform Engineering team. This is the team that empowers our engineers to do the above.You'll help shape and evolve our internal platform, with a big focus on developer tooling and developer experience. Your work will make life easier for hundreds of engineers, helping teams move faster, safer, and with more confidence. What you'll be working onYou won't be bored. Here's a flavour of what you'll get stuck into: Building and evolving internal platform capabilities using infrastructure as code Creating and maintaining tools that support the full software development lifecycle + Tools we use include GitHub Actions, Artifactory, Cortex, ReTool, Datadog Developing shared, agentic engineering capabilities that help teams ship customer value faster Building serverless tooling and guardrails that give teams freedom without chaos Improving our build, test, deploy and monitoring setup - always looking for better ways Helping keep our AWS environments secure, observable and reliable Spotting opportunities to improve things through automation, documentation, or better ways of working Challenging assumptions (including our own) and raising the bar on how good our platform can be What we're looking forWe're not expecting perfection. If most of this sounds like you, you'll probably enjoy the role. Solid experience with infrastructure as code (CloudFormation, CDK, Terraform) Someone who really cares about DevOps and developer experience You focus on solving the right problems, not just writing code for the sake of it Strong understanding of platform engineering and how product teams actually ship software You think about architecture, scalability, and reliability as part of everyday engineering Bonus points if you've: Written production software in TypeScript Picked up an AWS certification Worked across other IT areas (networking, firewalls, identity, directories) Invested in test automation and quality from the start Owned systems and cared deeply about their performance and uptime Helped mentor or support more junior engineers Enjoy explaining technical ideas clearly - and listening to feedback tooMost importantly: You enjoy learning You want your work to have real impact You like collaborating with people who care about what they buildWe're big on inclusion and flexibility. If you need adjustments at any stage - application, interview, or beyond - just let us know and we'll work with you.We're proud to be an inclusive, anti racist and equal opportunity employer. We welcome people from all backgrounds and encourage applications from women and Black, Asian and ethnic minority candidates as we continue to build teams that better reflect the communities we serve.Hiring decisions are based on merit, using a clear and fair assessment process.Job ads never tell the whole story. If you want to ask about the role, the team, location, salary, or anything else before applying, just drop a note to Tom at . If helping millions of people save money and building great developer experiences sounds like your thing, we'd love to hear from you.

Cutting Edge Music Tech - On-Demand Vinyl Records We are seeking a Senior Product Manager - Platform and AI to help us redefine the music industry. We've developed a new technology to produce on demand vinyl records and built a web platform that enables music creators to create and sell their products worldwide through our store at no cost. We partner with leading record labels, streaming services, digital providers, distributors, and iconic global artists to build a global solution for physical media, but most importantly, we give small and emerging artists frictionless access to offer vinyl and CDs to their fans through our innovative solution and planned production/fulfilment centres in Europe, the USA, and Asia. The vinyl market has grown over 20% yearly for the last 16 years, and CDs are growing again for the first time in two decades. By 2030, there will be nearly 200 million music creators worldwide (with AI accelerating this even further). Most would love to have their music on vinyl or CD for friends, family, and fans, many would happily buy a record for around $30 if accessible without high costs or minimums, which our scalable on demand tech makes possible. elasticStage delivers easy, affordable access to this booming opportunity. As Senior Product Manager for Platform & AI, you will own the strategy and execution of the technical foundations that unlock elasticStage's next phase of growth: the partner-embedded model, AI-native release and commerce capabilities, and the platform infrastructure required to scale across languages, markets and distribution channels. This is a role for a builder who is genuinely excited by technology. You will work at the frontier of how AI agents and LLMs are reshaping how physical music is created and distributed, and you will be the person at elasticStage who figures out what that means for our product. You will lead across three areas: For our partners in the music world, you will own our embedded model: the infrastructure that allows any partner to offer elasticStage's capabilities natively within their own products. This is central to elasticStage's path to 20X user growth by 2027. For AI & agents, you will define and build how creators and fans interact with elasticStage through AI-native surfaces, including agentic release flows where an LLM handles the end-to-end process of releasing a vinyl, and commerce integrations that allow fans to discover and purchase through AI-powered channels. For platform foundations, you will lead large-scale platform improvements, including full language localisation, AI-powered customer support, and the technical infrastructure needed to support growth without linear cost growth. Before we can move fast on AI-native journeys and an embedded partner model, the foundations must be solid. A meaningful part of this role is doing that groundwork first: supporting in understanding what we have across data architecture, platform structure and engineering practices, identifying what needs to change, and putting the right structures in place to build on. The right candidate will see this as the interesting problem it is, not the preamble to the real work. You will also play a central role in how elasticStage's engineering team operates, working closely with the engineering team to introduce structured agile practices, build product management rigour, and ensure the team is set up to execute at pace and quality. We value intellectual curiosity, a strong builder mindset and practical experimentation. You will work closely with engineering to shape how AI is used across the product lifecycle to accelerate validation, increase velocity and reduce dependency on full engineering cycles, influencing both our tooling and how we build. Responsibilities: Assess and help the engineering team define what needs to be true across data architecture, platform structure and engineering practices before we can scale, then lead the work to get us there. Own the platform and AI roadmap, balancing foundational investments with bold new product bets and maintaining a clear line of sight to commercial impact. Define and deliver AI-native creator journeys, including agentic flows where LLMs handle the end-to-end release process with minimal human input. Build the embedded partner model: the API and iframe infrastructure that allows distribution platforms and third-party services to offer elasticStage natively within their own products. Lead large-scale platform improvements, including full language localisation and AI-powered customer support, enabling growth without linear cost increases. Work closely with the Head of Engineering to embed structured agile practices, sharpen requirements and prioritisation, and raise the overall effectiveness of the software team. Align cross-functionally across Engineering, Growth, Operations and Data to sequence work sensibly and deliver measurable outcomes. Core Product & Technical Experience 5+ years of product management experience in a consumer, marketplace or commerce context. Strong technical fluency: comfortable reading and writing technical specifications, engaging deeply with engineering teams, and making informed trade offs between build approaches. Good to have, demonstrable experience in shipping API or integration products: you understand how to design for developer experience and build reliable, scalable interfaces. Experience delivering large, cross-functional platform projects (localisation, integrations, data infrastructure) to production. Experience assessing what a platform needs before it can scale, across data architecture, platform structure and engineering practices. Growth, Commercial & AI Builder Mindset You think customer and commercial outcomes first. Able to define and own KPIs tied to business performance, with a clear hypothesis driven approach to what you build and why. Genuine curiosity about AI and a hands on approach to understanding new capabilities: you experiment with the latest models, tools and agent frameworks. Good to have: some experience evaluating or shipping AI-powered product features, ideally including LLM-based workflows, chatbots or agentic systems. Comfortable operating in ambiguity with a bias toward action: you can define a path forward even when the technology or the market is still evolving. SQL familiarity and strong analytical capability; you use data to inform prioritisation and measure impact. Strong communicator who can "lead without authority" and mobilise technical and non-technical stakeholders around priorities and trade offs. What We Offer: Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work. Flexible time off: 25 days of paid holiday, a paid birthday off, and remote friendly working. Comprehensive Pension Scheme: Secure your future with our robust pension scheme. Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology. Medical Insurance: Protect yourself with our comprehensive medical insurance plan. Work Location: Enjoy a hybrid work model with the flexibility to work from home, while spending at least 3 days a week in our vibrant London, King's Cross office.

Cutting Edge Music Tech - On-Demand Vinyl Records We are seeking a Senior Product Manager - Platform and AI to help us redefine the music industry. We've developed a new technology to produce on demand vinyl records and built a web platform that enables music creators to create and sell their products worldwide through our store at no cost. We partner with leading record labels, streaming services, digital providers, distributors, and iconic global artists to build a global solution for physical media, but most importantly, we give small and emerging artists frictionless access to offer vinyl and CDs to their fans through our innovative solution and planned production/fulfilment centres in Europe, the USA, and Asia. The vinyl market has grown over 20% yearly for the last 16 years, and CDs are growing again for the first time in two decades. By 2030, there will be nearly 200 million music creators worldwide (with AI accelerating this even further). Most would love to have their music on vinyl or CD for friends, family, and fans, many would happily buy a record for around $30 if accessible without high costs or minimums, which our scalable on demand tech makes possible. elasticStage delivers easy, affordable access to this booming opportunity. As Senior Product Manager for Platform & AI, you will own the strategy and execution of the technical foundations that unlock elasticStage's next phase of growth: the partner-embedded model, AI-native release and commerce capabilities, and the platform infrastructure required to scale across languages, markets and distribution channels. This is a role for a builder who is genuinely excited by technology. You will work at the frontier of how AI agents and LLMs are reshaping how physical music is created and distributed, and you will be the person at elasticStage who figures out what that means for our product. You will lead across three areas: For our partners in the music world, you will own our embedded model: the infrastructure that allows any partner to offer elasticStage's capabilities natively within their own products. This is central to elasticStage's path to 20X user growth by 2027. For AI & agents, you will define and build how creators and fans interact with elasticStage through AI-native surfaces, including agentic release flows where an LLM handles the end-to-end process of releasing a vinyl, and commerce integrations that allow fans to discover and purchase through AI-powered channels. For platform foundations, you will lead large-scale platform improvements, including full language localisation, AI-powered customer support, and the technical infrastructure needed to support growth without linear cost growth. Before we can move fast on AI-native journeys and an embedded partner model, the foundations must be solid. A meaningful part of this role is doing that groundwork first: supporting in understanding what we have across data architecture, platform structure and engineering practices, identifying what needs to change, and putting the right structures in place to build on. The right candidate will see this as the interesting problem it is, not the preamble to the real work. You will also play a central role in how elasticStage's engineering team operates, working closely with the engineering team to introduce structured agile practices, build product management rigour, and ensure the team is set up to execute at pace and quality. We value intellectual curiosity, a strong builder mindset and practical experimentation. You will work closely with engineering to shape how AI is used across the product lifecycle to accelerate validation, increase velocity and reduce dependency on full engineering cycles, influencing both our tooling and how we build. Responsibilities: Assess and help the engineering team define what needs to be true across data architecture, platform structure and engineering practices before we can scale, then lead the work to get us there. Own the platform and AI roadmap, balancing foundational investments with bold new product bets and maintaining a clear line of sight to commercial impact. Define and deliver AI-native creator journeys, including agentic flows where LLMs handle the end-to-end release process with minimal human input. Build the embedded partner model: the API and iframe infrastructure that allows distribution platforms and third-party services to offer elasticStage natively within their own products. Lead large-scale platform improvements, including full language localisation and AI-powered customer support, enabling growth without linear cost increases. Work closely with the Head of Engineering to embed structured agile practices, sharpen requirements and prioritisation, and raise the overall effectiveness of the software team. Align cross-functionally across Engineering, Growth, Operations and Data to sequence work sensibly and deliver measurable outcomes. Core Product & Technical Experience 5+ years of product management experience in a consumer, marketplace or commerce context. Strong technical fluency: comfortable reading and writing technical specifications, engaging deeply with engineering teams, and making informed trade offs between build approaches. Good to have, demonstrable experience in shipping API or integration products: you understand how to design for developer experience and build reliable, scalable interfaces. Experience delivering large, cross-functional platform projects (localisation, integrations, data infrastructure) to production. Experience assessing what a platform needs before it can scale, across data architecture, platform structure and engineering practices. Growth, Commercial & AI Builder Mindset You think customer and commercial outcomes first. Able to define and own KPIs tied to business performance, with a clear hypothesis driven approach to what you build and why. Genuine curiosity about AI and a hands on approach to understanding new capabilities: you experiment with the latest models, tools and agent frameworks. Good to have: some experience evaluating or shipping AI-powered product features, ideally including LLM-based workflows, chatbots or agentic systems. Comfortable operating in ambiguity with a bias toward action: you can define a path forward even when the technology or the market is still evolving. SQL familiarity and strong analytical capability; you use data to inform prioritisation and measure impact. Strong communicator who can "lead without authority" and mobilise technical and non-technical stakeholders around priorities and trade offs. What We Offer: Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work. Flexible time off: 25 days of paid holiday, a paid birthday off, and remote friendly working. Comprehensive Pension Scheme: Secure your future with our robust pension scheme. Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology. Medical Insurance: Protect yourself with our comprehensive medical insurance plan. Work Location: Enjoy a hybrid work model with the flexibility to work from home, while spending at least 3 days a week in our vibrant London, King's Cross office.

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget

AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.