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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. The Developer Platform team builds internal tools and platform that improve velocity, quality and developer experience for Synthesia’s engineering teams. You will own the operational health of systems you build and shape the technical direction of your area. #J-18808-Ljbffr

You are an analytical, research-minded, and innovative professional with a passion for artificial intelligence and natural language processing. You thrive in technical environments and understand the nuances of deploying machine learning models into production. Deeply curious yet collaborative, you have the ability to design efficient AI workflows and naturally translate complex dataset patterns into robust, scalable intelligent features. • Strong academic background or demonstrable project experience focused on Machine Learning, Natural Language Processing (NLP), or Artificial Intelligence., • Proficiency with core AI/ML libraries and languages, including Python, PyTorch/TensorFlow, Scikit-Learn, and LLM integration frameworks., • Demonstrable experience with data preprocessing, model fine-tuning, evaluation metrics, and optimizing inference performance. Design, train, and fine-tune machine learning and deep learning models tailored for text classification, sentiment analysis, and pattern recognition. Build and optimize scalable data ingestion and preprocessing pipelines to clean, structure, and feed high-volume customer feedback data into models. Collaborate with product and backend teams to integrate trained models into production-ready APIs, monitoring performance and drift. Stay at the forefront of AI research, experimenting with emerging LLM capabilities and novel algorithms to continually enhance insight accuracy. • Location: Commutable to our Truro HQ., • Work Model: 100% Office-based attendance required., • Software: Confident with Python, ML frameworks, Git, and JIRA., • Right to Work: Must have the right to work in the UK. Please note: While Hertzian is licensed to issue Sponsorship Visas, we are not electing to do so for this position. • Training and fine-tuning machine learning models., • Preprocessing and analyzing complex feedback datasets., • Participating in daily stand-ups and AI sprint planning., • Reviewing peer model logic and submitting pull requests., • Collaborating with engineers on production deployments. At the end of your 3-month probation, you will deliver a technical presentation to your Engineering Lead. This presentation must outline your current performance, key AI model experimentations, code contributions, and provide your professional feedback moving forward. Delivery of high-performing, validated, and efficient machine learning models. Successful and timely completion of assigned AI engineering tickets. Ensuring stability, speed, and low latency for production AI inference. Basic benefits package applies to this role: 28 days annual leave (inclusive of all UK bank holidays). Company laptop provided. Full access to our Employee Assistance Programme (EAP). We recognise economically it is a difficult time for many, and as a result, we expect to receive a high volume of applications. We want to assure you that we do not use automated methods or AI to scan or review CVs. Every single application is reviewed manually by our team on its own merit. We do our very best to get back to everyone; however, if we are not able to respond to you directly, we sincerely apologise. It likely means that your application did not quite meet the criteria to reach the interview stage on this occasion. We thank you for your interest in Hertzian. #J-18808-Ljbffr

Hertzian in the United Kingdom is seeking an analytical AI/ML Engineer to design, train, and deploy text-focused models. You will work on NLP tasks, build scalable data pipelines, and integrate models into production APIs with a focus on latency and accuracy. Based at our Truro HQ with 100% on-site work, you will collaborate with product and back-end teams, review model logic, and contribute to sprint planning. Right to work in the UK is required; sponsorship is not offered. #J-18808-Ljbffr

production), developer insights and SDLC metrics, developer infrastructure (CI/CD systems), AI-assisted QA/testing and AI-assisted development. AI Adoption has grown to 90%+ employees with 100%~ adoption in engineering in the last 8 months. You'll have a big surface area and real ownership from day one into making Synthesia's engineering go faster but with quality in this day and age of AI-driven development. You will work end-to-end owning the architectural decisions that govern how features are built, released safely to customers, and supported long-term. You'll mentor engineers and embed technical practice through code review and design partnership. You will lead projects that span quarters, breaking down complex problems into milestones that can be validated iteratively. You'll operate with high autonomy: defining success criteria, calling trade-offs, and knowing when to escape to leadership. You will partner directly with leadership to shape the roadmap and technical strategy. 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. The Developer Platform team builds internal tools and platform that improve the velocity, quality and developer experience of Synthesia's engineering teams. They own developer productivity (from code commit to, You'll have the skills to push back on requirements, propose alternatives, and influence what we build and when. You will own the operational health of systems you build and you'll use data to drive decisions about iteration, maintenance, and deprecation. You will be accountable for the technical direction of your area. You'll anticipate 12+ month technical challenges, propose solutions that scale, and build the engineering capabilities that will let us execute ahead of the curve. At least seven (7) years of experience as a software engineer, with at least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity or reduced cognitive load. Previous experience leading the adoption of new AI-powered developer tools or capabilities across an engineering organization. You have operated in a high-performing engineering organization (scale-up or established) where you've seen how infrastructure choices directly impact team velocity and product quality. You understand what it means to build for other engineers. Experience integrating third-party services (APIs, SaaS tools, external platforms) into internal systems, with attention to reliability, security, and user experience. You understand the operational constraints of running other people's code/services at scale. Clear understanding that platform and infrastructure work directly enables commercial outcomes. Previous experience owning large technical areas end-to-end. We're living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here's why, 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 here. We're trusted by leading brands such as Heineken, Zoom, Xerox, McDonald's and more. Read stories from happy customers and what 1,200+ people say on G2. Since 2017, we've been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety. #J-18808-Ljbffr

Senior 360 Recruitment Consultant Technology (Cloud, AI, Data, Security, Networking & Infrastructure) Location: Remote (UK-based), with monthly team meet-ups in Exeter Salary: Up to £40,000 basic + uncapped commission Employment type: Full time, permanent 3 years + agency IT recruitment experience is essential for this role. About us Set2Recruit is a specialist technology recruitment business. We partn... CRWG1_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. Location: Europe remote or London hybrid The role: Synthesia is used by over 90% of the Fortune 100. The largest deployments now run thousands of creators across dozens of markets, languages, and compliance regimes. What decides whether those accounts expand or stall is not another avatar - it's whether admins, legal teams, and programme owners can actually stay in control. We're looking for a Staff (L6) Product Designer to own that layer end-to-end: workspace setup and governance, the content lifecycle, and the analytics and integrations that close the loop. This is the work that turns a proof of concept into a seven-figure renewal, and right now it is wide open. You'll operate as a senior IC: setting direction, influencing roadmap decisions (not just contributing), shaping bets with Product and Engineering leaders, and raising the bar on how we think about enterprise design problems. What you'll be doing: Own the Enterprise surface end-to-end, from problem framing to shipped outcomes and iteration - often dealing with ambiguity. You'll reach out to the right stakeholders, get the right eyes in the room, and make decisions independently. Design complex governance and compliance systems that give admins, legal teams, and compliance officers genuine control and transparency. Examples include: Permission models and role hierarchies that scale across thousands of creators without collapsing into chaos. Audit log experiences that make compliance auditable - not just for the system, but for the humans who need to understand what happened. Workspace setup and identity workflows that integrate with real enterprise infrastructure (SSO, SCIM, MCP). License and billing models that admins can actually understand and manage at scale. Analytics and reporting that tell admins whether their deployment is working as intended. Work with technical constraints and possibilities . You'll develop fluency in APIs, widget architectures, developer hub patterns, and how backend systems shape what's actually achievable in the UX. You're not designing in isolation from engineering - you're designing in partnership with it. Drive pragmatic iteration . You'll scope ruthlessly, build POCs to get signal early, and iterate based on what you learn from enterprise customers. Set a design vision for our Enterprise surface and influence adjacent product areas to stay coherent. As things scale across SSO, compliance, analytics, and billing, you're keeping the mental model consistent. You should apply if you bring: Significant experience designing complex, large-scale product surfaces - ideally admin dashboards, governance layers, analytics platforms, or other domains where system thinking matters. Technical fluency. You understand APIs, integrations, how services communicate, how widgets and developer hubs work. You can read a technical architecture doc and understand the constraints it creates for design. You don't need to be an engineer, but you think like one. Systems thinking: not just about interaction flows, but about enterprise systems. You understand how identity systems, compliance regimes, and scale constraints shape what's actually possible in the UX. You think in mental models and multi-step workflows, not single screens. Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity. Excellent communication in design reviews and cross-functional decision-making contexts. Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded. The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale. At Synthesia we expect everyone to: Put the Customer First Own it #J-18808-Ljbffr

2026-10-03T00:00:00 Cornwall Cornwall GB TR1 2AF Any 2027-01-01T19:03:07.567 Spotify is on an ambitious path to reach one billion users and $100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #s1-Gen Spotify is on an ambitious path to reach one billion users and $100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You'll Do Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs with long-term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #J-18808-Ljbffr

You’ll help create impactful solutions by supporting operational output, maintaining safety and regulatory compliance, and helping colleagues grow through guidance, training, and mentoring. Promote compliance with the Health and Safety at Work Act 1974, environmental procedures, the Serco Naval Ai

You’ll help create impactful solutions by supporting operational output, maintaining safety and regulatory compliance, and helping colleagues grow through guidance, training, and mentoring. Promote compliance with the Health and Safety at Work Act 1974, environmental procedures, the Serco Naval Ai

You’ll help create impactful solutions by supporting operational output, maintaining safety and regulatory compliance, and helping colleagues grow through guidance, training, and mentoring. Promote compliance with the Health and Safety at Work Act 1974, environmental procedures, the Serco Naval Ai

Synthesia Limited is seeking a Staff Product Designer (L6) to own the enterprise surface end-to-end, including governance, content lifecycle and analytics integrations, in a fast-moving AI enterprise setting. You will partner with Product and Engineering to shape roadmap decisions, design complex go

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Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Trainee AI Engineer – No Experience Needed. Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

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Trainee AI Engineer - No Experience Needed. Train online at your own pace and land your first AI Engineer role in 1-3 months. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed

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Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is desig

We are seeking a Senior Safety Domain Expert for Veeva Falcon to shape next-gen safety automation, bridging hands-on case processing with strategic PV operations. You will guide safety workflows, review AI-driven outputs for accuracy, and collaborate with product and.

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Grafana Labs, a fully remote observability company, seeks a Staff Technical Writer in the UK to create and maintain documentation for Grafana’s products. You will collaborate with engineers, PMs, and the writing team to deliver clear, accurate content for diverse audiences and evolve AI-assisted w

You’ll work across cloud data platforms, design scalable pipelines and apply GenAI tooling to accelerate engineering delivery while maintaining quality and governance. Accenture Bristol is seeking a Data & AI Engineer to join our AI-enabled delivery practice.

Work closely with editors and producers to maintain speed, quality, and consistency. Partner with Commercial teams to integrate branded content and paid partnerships into video output. We operate at the intersection of content, creators, and brands — delivering premium editorial, video programming

If you are currently leading AI initiatives, building AI platforms, or working on responsible AI and governance frameworks, I would be very interested to connect and exchange perspectives on how the market is evolving. Scaling AI and machine learning platforms – “Make AI work!”. Many firms are

You’ll own end-to-end recruiting across engineering, AI/ML, product, and leadership, sourcing top talent in competitive markets and partnering with founders for role definition and market positioning.

You will be responsible for developing a proprietary platform that utilizes data analytics and AI.

The role may involve exposure to AI tools; comfort with uncensored/NSFW AI products is a plus, and you will work closely.

A leading recruitment firm in the UK is seeking a Head of Permanent Recruitment to build and scale a high-performing division focused on the US Data & AI market.

You will collaborate with the Principal Product Manager, Development, Design and Product Operations to keep delivery moving, resolve issues quickly and explain what is shipping and why it matters to customers.

A leading AI hospitality platform is seeking a Data Scientist to join their team in Camden. The role involves collaboration on advanced AI solutions to enhance the flexible workforce in hospitality.

We are looking for a commercially minded AI Project Leader to identify and implement AI and automation solutions across our business. Help us use AI to build a smarter, more profitable motor business. Identify processes where AI and automation can make a real difference.

This role offers the chance to innovate and shape the future in automation and AI.

Create and maintain product demos, tutorials, and training materials. In this role you will shape the strategy and delivery of AI-driven tools and workflows for pre-production in VFX/Animation. This is an opportunity to influence how AI accelerates creative processes at scale.

Webgains is seeking a proactive, solutions-focused leader to head client support and client success operations.

This role blends modern sales leadership with AI adoption, automation, and data discipline. Pax8 UK Limited in Bristol is hiring a Director of SDR to build a high‑performing, AI‑enabled SDR organisation that turns demand into predictable pipeline and partner growth. You’ll set the operating rh

Appnovation in the United Kingdom is seeking a Full-Stack AI Engineer to transform business ideas into production-ready applications. AI design tools, and a track record of delivering production-grade full-stack apps in.

Drives initial AI customer conversation and validates PCAI opportunity ,covering AI use cases and technical knowledge to position PCAI. Position PCAI with all AI personas: technical/SW personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP I

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Develop and execute sales strategies tailored to e-commerce and retail brands,. Maintain accurate sales forecasting and pipeline management via CRM tools,. The Sales Manager (UK) will be responsible for driving new business acquisition, managing the full sales cycle, and establishing Cypien AI as a

Maintain Documentation & Knowledge Management by preparing and maintaining comprehensive documentation including BRDs, FSDs, User Stories, Use Case Documents, and visual process flows (BPMN) while ensuring structured version control and knowledge sharing using tools like Confluence. Collaborate acro