Creandum Advisor LLP is seeking a Senior Staff Machine Learning Engineer to shape the architecture and strategy for machine learning systems. This role focuses on content understanding and ensures safe, high-quality experiences for listeners and creators. You will build, scale, and deploy ML systems across text, audio, image, and video, collaborating with various teams to uphold content standards while enabling automated decision-making. The position offers flexibility with the option to work from London or Stockholm, with potential in-person meetings.
24/05/2026
Full time
Creandum Advisor LLP is seeking a Senior Staff Machine Learning Engineer to shape the architecture and strategy for machine learning systems. This role focuses on content understanding and ensures safe, high-quality experiences for listeners and creators. You will build, scale, and deploy ML systems across text, audio, image, and video, collaborating with various teams to uphold content standards while enabling automated decision-making. The position offers flexibility with the option to work from London or Stockholm, with potential in-person meetings.
We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow, driven by advances in AI and new creation tools-we're investing in systems that ensure content remains safe, compliant, and high quality. We're seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you'll shape how automated systems evaluate and act on content-ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real time and large scale content evaluation Collaborate with product, policy, and trust & safety teams to operationalize content standards Improve automation to reduce manual intervention, maintaining high quality and safety standards Drive best practices in evaluation, fairness, and system reliability Mentor engineers and contribute to technical direction across teams Who You Are You have strong experience building production grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar You have worked on systems where ML outputs influence real world decisions You understand how to design systems that balance automation with safety and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems and understand how models connect to platform level outcomes You care about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non technical teams Where You Will Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
24/05/2026
Full time
We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow, driven by advances in AI and new creation tools-we're investing in systems that ensure content remains safe, compliant, and high quality. We're seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you'll shape how automated systems evaluate and act on content-ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real time and large scale content evaluation Collaborate with product, policy, and trust & safety teams to operationalize content standards Improve automation to reduce manual intervention, maintaining high quality and safety standards Drive best practices in evaluation, fairness, and system reliability Mentor engineers and contribute to technical direction across teams Who You Are You have strong experience building production grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar You have worked on systems where ML outputs influence real world decisions You understand how to design systems that balance automation with safety and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems and understand how models connect to platform level outcomes You care about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non technical teams Where You Will Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow-driven by advances in AI and new creation tools-we're building intelligent systems that can evaluate, manage, and route content reliably at global scale. We're seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you'll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design and deploy models across text, audio, image, and video domains Build systems that enable controlled, reliable access to content and metadata for downstream applications Collaborate with product, policy, trust & safety teams to operationalize content standards across platform Improve automation to reduce manual intervention while maintaining high standards of trust and quality Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design Who You Are You have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems, connecting models to platform-level outcomes and user experiences You care deeply about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non-technical teams Where You Will Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
24/05/2026
Full time
We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow-driven by advances in AI and new creation tools-we're building intelligent systems that can evaluate, manage, and route content reliably at global scale. We're seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you'll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design and deploy models across text, audio, image, and video domains Build systems that enable controlled, reliable access to content and metadata for downstream applications Collaborate with product, policy, trust & safety teams to operationalize content standards across platform Improve automation to reduce manual intervention while maintaining high standards of trust and quality Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design Who You Are You have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems, connecting models to platform-level outcomes and user experiences You care deeply about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non-technical teams Where You Will Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
23/05/2026
Full time
About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
Computer Vision Research Engineer (Biometric Platform) at iProov Computer Vision Research Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Biometric Platform Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. How you can make an impact Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution Improve upon existing biometric functionality, looking for opportunities to improve the accuracy, interpretability and speed of biometric systems Work with the Platform developers to produce production code Provide Guidance and collaborate on Cross functional projects Understand the impact of changes, ensuring the best outcomes for our customers and end-users What we would like to see from you Proficiency in Machine Learning Experience in Computer Vision Organised and driven Excellent communication with both technical and non-technical audiences Enjoys collaborating with cross-functional teams Python Docker/Github/Jira 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service) Growth Shares allocated after passing probation (6 months of service) Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme Nursery Sacrifice Scheme Work Overseas Perk - Work globally for up to 2 weeks Life Assurance SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist Award winning L&D platform with personal allocated training budgets Enhanced paid family leave Flexible hybrid working environment Free Barista Coffee/Tea, biscuits with fruit in the WeWork office Free access to WeWork discounts and free online well-being sessions Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology 50% off monthly gym memberships Apple watches significantly discounted based member vitality status Half price trainers with Runners Need Weekly rewards - Free coffee with Café Nero Monthly rewards - Free Cinema ticket Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status Amazon prime free months based on activity Up to 25% cashback at Waitrose when buying healthy foods 75% off stays at Champneys Health Spas Allen Carr's £299 no smoking programme for free Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace Discounts on Weight Watchers Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We're a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We're committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to
23/05/2026
Full time
Computer Vision Research Engineer (Biometric Platform) at iProov Computer Vision Research Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Biometric Platform Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. How you can make an impact Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution Improve upon existing biometric functionality, looking for opportunities to improve the accuracy, interpretability and speed of biometric systems Work with the Platform developers to produce production code Provide Guidance and collaborate on Cross functional projects Understand the impact of changes, ensuring the best outcomes for our customers and end-users What we would like to see from you Proficiency in Machine Learning Experience in Computer Vision Organised and driven Excellent communication with both technical and non-technical audiences Enjoys collaborating with cross-functional teams Python Docker/Github/Jira 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service) Growth Shares allocated after passing probation (6 months of service) Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme Nursery Sacrifice Scheme Work Overseas Perk - Work globally for up to 2 weeks Life Assurance SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist Award winning L&D platform with personal allocated training budgets Enhanced paid family leave Flexible hybrid working environment Free Barista Coffee/Tea, biscuits with fruit in the WeWork office Free access to WeWork discounts and free online well-being sessions Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology 50% off monthly gym memberships Apple watches significantly discounted based member vitality status Half price trainers with Runners Need Weekly rewards - Free coffee with Café Nero Monthly rewards - Free Cinema ticket Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status Amazon prime free months based on activity Up to 25% cashback at Waitrose when buying healthy foods 75% off stays at Champneys Health Spas Allen Carr's £299 no smoking programme for free Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace Discounts on Weight Watchers Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We're a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We're committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high value workflows across global markets. Today, 9fin powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, 9fin is accelerating toward becoming the category defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state of the art models to deliver innovative, practical solutions that streamline decision making and unlock new efficiencies. Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment. Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates. Translate complex problems into well defined scoped bets in an internal startup style environment, dynamic and fast paced. Learn and apply ground breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality. Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin. About You This role will be a great fit if you: Strong proficiency in Python for production ready delivery. Deep understanding of the GenAI landscape and agentic frameworks. Hands on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! Good knowledge of AWS's AI infrastructure. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
23/05/2026
Full time
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high value workflows across global markets. Today, 9fin powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, 9fin is accelerating toward becoming the category defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state of the art models to deliver innovative, practical solutions that streamline decision making and unlock new efficiencies. Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment. Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates. Translate complex problems into well defined scoped bets in an internal startup style environment, dynamic and fast paced. Learn and apply ground breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality. Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin. About You This role will be a great fit if you: Strong proficiency in Python for production ready delivery. Deep understanding of the GenAI landscape and agentic frameworks. Hands on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! Good knowledge of AWS's AI infrastructure. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Samba sits at the heart of Spotify's personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems-balancing what users love with how Spotify supports creators and the business. Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real time personalization at scale. What You'll Do Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces Develop multi objective optimization strategies that balance user satisfaction with business outcomes Collaborate closely with cross functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions Work across ML, backend, and data layers to bring models into production Contribute to scalable infrastructure supporting high volume user interactions Run experiments and use insights to continuously improve performance Help shape technical direction and raise the bar for engineering excellence within the team Who You Are You have 5+ years of experience in machine learning, data, or backend engineering You are experienced with production grade systems and scalable architectures You have worked on recommendation systems, ranking, or optimization problems You bring a T shaped skillset across ML, data, and backend domains You are comfortable navigating ambiguity and solving complex problems You care about user experience and measurable impact You enjoy collaborating across disciplines and geographies Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. 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. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
23/05/2026
Full time
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Samba sits at the heart of Spotify's personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems-balancing what users love with how Spotify supports creators and the business. Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real time personalization at scale. What You'll Do Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces Develop multi objective optimization strategies that balance user satisfaction with business outcomes Collaborate closely with cross functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions Work across ML, backend, and data layers to bring models into production Contribute to scalable infrastructure supporting high volume user interactions Run experiments and use insights to continuously improve performance Help shape technical direction and raise the bar for engineering excellence within the team Who You Are You have 5+ years of experience in machine learning, data, or backend engineering You are experienced with production grade systems and scalable architectures You have worked on recommendation systems, ranking, or optimization problems You bring a T shaped skillset across ML, data, and backend domains You are comfortable navigating ambiguity and solving complex problems You care about user experience and measurable impact You enjoy collaborating across disciplines and geographies Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. 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. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
Overview Job Requisition ID # 25WD91668 AI Research Scientist/Engineer (Multimodal) Position Overview As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Research Manager in the AI Lab. Location: UK, Germany, US or Canada. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience) Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain Company Autodesk Ltd. (United Kingdom) Salary and Benefits Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. Salary transparency: salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Additional Information Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Not quite ready to apply? Join our talent community to stay up to date on new job opportunities and the latest Autodesk news. Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tags Bayesian Methods, Classification, Clustering, Industry, NLP, United Kingdom
23/05/2026
Full time
Overview Job Requisition ID # 25WD91668 AI Research Scientist/Engineer (Multimodal) Position Overview As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Research Manager in the AI Lab. Location: UK, Germany, US or Canada. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience) Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain Company Autodesk Ltd. (United Kingdom) Salary and Benefits Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. Salary transparency: salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Additional Information Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Not quite ready to apply? Join our talent community to stay up to date on new job opportunities and the latest Autodesk news. Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tags Bayesian Methods, Classification, Clustering, Industry, NLP, United Kingdom
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Support Engineer - End User Computing. The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e mail, third party productivity tools, and finance specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). We currently operate 4 days a week in office, 1 from home. Responsibilities You will support our employees in their day to day use of the computer systems in our Bristol Office and offer remote support to other European offices as required. Perform day to day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems. Co own and continuously improve the onboarding processes for both users and hardware in the Bristol office. Co Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal). Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement. Diagnose and resolve issues across: Windows desktops and servers. Active Directory and Entra ID. Hardware and peripherals. Develop and maintain automation solutions to improve efficiency and scalability, including: Automated builds and provisioning. Configuration management. Patch management and application deployment. Monitoring, observability, and performance tooling. Once fully integrated into the business, there is an on call rota to provide IT coverage. This includes occasional weekend support/maintenance tasks, approximately once every 6 weeks with time off in lieu the following week. Qualifications We estimate that you will have at least 5 years' experience in a relevant technical role and you will have many of the following technical skills: Active Directory. Windows 11, Windows Server (2019 / 2022 / 2025). Solid PowerShell scripting skills for automation. Experience with endpoint management tools: SCCM. Microsoft Intune (OS and application deployment/management). Familiarity with Linux command line environments. Working knowledge of version control systems (e.g., Git). Basic understanding of networking concepts and Cisco CLI commands. High proficiency with Microsoft Office applications. Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc's, switches, servers). Personality and Soft Skills As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is: Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems. Able to explain technical concepts and events to non technical staff members. Articulate, numerate and capable of negotiating high value technology equipment and services. Able to reason logically and consistently deliver under pressure. Able to spot new opportunities and follow through with them. Onboarding Note To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.
22/05/2026
Full time
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Support Engineer - End User Computing. The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e mail, third party productivity tools, and finance specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). We currently operate 4 days a week in office, 1 from home. Responsibilities You will support our employees in their day to day use of the computer systems in our Bristol Office and offer remote support to other European offices as required. Perform day to day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems. Co own and continuously improve the onboarding processes for both users and hardware in the Bristol office. Co Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal). Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement. Diagnose and resolve issues across: Windows desktops and servers. Active Directory and Entra ID. Hardware and peripherals. Develop and maintain automation solutions to improve efficiency and scalability, including: Automated builds and provisioning. Configuration management. Patch management and application deployment. Monitoring, observability, and performance tooling. Once fully integrated into the business, there is an on call rota to provide IT coverage. This includes occasional weekend support/maintenance tasks, approximately once every 6 weeks with time off in lieu the following week. Qualifications We estimate that you will have at least 5 years' experience in a relevant technical role and you will have many of the following technical skills: Active Directory. Windows 11, Windows Server (2019 / 2022 / 2025). Solid PowerShell scripting skills for automation. Experience with endpoint management tools: SCCM. Microsoft Intune (OS and application deployment/management). Familiarity with Linux command line environments. Working knowledge of version control systems (e.g., Git). Basic understanding of networking concepts and Cisco CLI commands. High proficiency with Microsoft Office applications. Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc's, switches, servers). Personality and Soft Skills As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is: Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems. Able to explain technical concepts and events to non technical staff members. Articulate, numerate and capable of negotiating high value technology equipment and services. Able to reason logically and consistently deliver under pressure. Able to spot new opportunities and follow through with them. Onboarding Note To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.
Job category Business intelligence & analytics Efekta is investing in product innovation to deliver the next generation of educational experiences. We are reinventing online language learning and are driving new and engaging ways for students and teachers to get the best out of our platform with a strong focus on AI and customer facing data products. We're looking for like-minded individuals who love to grow, solve new and exciting problems, and make a genuinely positive impact on our customers' lives. The Role As part of the Efekta's AI & Analytics team your mission is to transform our product experience in innovative and impactful ways. You'll be working closely with our Learning, Product, & Engineering teams to understand opportunities & challenges and deliver AI driven solutions, which we can prove make an impact on student learning. Main Responsibilities Contribute to the Efekta AI platform that enables data-informed learning for our students, from understanding student progress to recommending content and learning paths. Build models using diverse learning signals (written, spoken, and behavioural data). Apply Machine Learning across NLP, speech/audio, and user interaction data. Help us create measurable business impact by working on data products. Research and recommend new innovative ways AI can optimise our business operations. We ask that you have A proven track record of making an impact with Data Science Experience building predictive models using user behaviour, sequence data, or time-series signals, ideally in real-world product environments. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Experience using cloud environments (AWS, GCP, Azure) Ability to work with engineering teams to productionise AI solutions Other useful skills include Comfortable taking ownership of loosely defined problems, translating open-ended questions into clear data science approaches and measurable outcomes. Thrives in fast-moving, evolving environments, iterating quickly with incomplete data and adapting solutions as requirements and insights change. Experience in developing data processing applications in Java/Scala/Python Experience working with streaming data sources (e.g. Kinesis Streams or Apache Flink) What we offer Working in a multicultural global team with vibrant and energetic team of colleagues by your side Comprehensive and supportive onboarding and further personal and professional development and career progression opportunities A competitive salary and benefits package Length of Service Recognition including paid sabbatical To thrive at EF, you will Have strong personal drive and energy Be curious about our clients' businesses and how our solutions can enable their success Possess an entrepreneurial spirit with a nothing is impossible mindset Excited by having ownership and autonomy Enjoy working in a fast-paced results-driven environment Be passionate about learning and language
21/05/2026
Full time
Job category Business intelligence & analytics Efekta is investing in product innovation to deliver the next generation of educational experiences. We are reinventing online language learning and are driving new and engaging ways for students and teachers to get the best out of our platform with a strong focus on AI and customer facing data products. We're looking for like-minded individuals who love to grow, solve new and exciting problems, and make a genuinely positive impact on our customers' lives. The Role As part of the Efekta's AI & Analytics team your mission is to transform our product experience in innovative and impactful ways. You'll be working closely with our Learning, Product, & Engineering teams to understand opportunities & challenges and deliver AI driven solutions, which we can prove make an impact on student learning. Main Responsibilities Contribute to the Efekta AI platform that enables data-informed learning for our students, from understanding student progress to recommending content and learning paths. Build models using diverse learning signals (written, spoken, and behavioural data). Apply Machine Learning across NLP, speech/audio, and user interaction data. Help us create measurable business impact by working on data products. Research and recommend new innovative ways AI can optimise our business operations. We ask that you have A proven track record of making an impact with Data Science Experience building predictive models using user behaviour, sequence data, or time-series signals, ideally in real-world product environments. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Experience using cloud environments (AWS, GCP, Azure) Ability to work with engineering teams to productionise AI solutions Other useful skills include Comfortable taking ownership of loosely defined problems, translating open-ended questions into clear data science approaches and measurable outcomes. Thrives in fast-moving, evolving environments, iterating quickly with incomplete data and adapting solutions as requirements and insights change. Experience in developing data processing applications in Java/Scala/Python Experience working with streaming data sources (e.g. Kinesis Streams or Apache Flink) What we offer Working in a multicultural global team with vibrant and energetic team of colleagues by your side Comprehensive and supportive onboarding and further personal and professional development and career progression opportunities A competitive salary and benefits package Length of Service Recognition including paid sabbatical To thrive at EF, you will Have strong personal drive and energy Be curious about our clients' businesses and how our solutions can enable their success Possess an entrepreneurial spirit with a nothing is impossible mindset Excited by having ownership and autonomy Enjoy working in a fast-paced results-driven environment Be passionate about learning and language
Clutch Canada is looking for a Software Engineer to join its data team at Speechify. This role involves sourcing audio data for machine learning and managing cloud infrastructure on GCP. The ideal candidate has at least 5 years of software development experience and skills in bash/Python, Docker, and cloud systems. This position allows for significant impact in a rapidly growing AI sector, fostering an inclusive work environment and the opportunity to support individuals with learning differences.
20/05/2026
Full time
Clutch Canada is looking for a Software Engineer to join its data team at Speechify. This role involves sourcing audio data for machine learning and managing cloud infrastructure on GCP. The ideal candidate has at least 5 years of software development experience and skills in bash/Python, Docker, and cloud systems. This position allows for significant impact in a rapidly growing AI sector, fostering an inclusive work environment and the opportunity to support individuals with learning differences.
Our Mission Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance? Dex's mission is to close the gap between Talent & Opportunity; we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world. We're starting by connecting the world's most ambitious software engineers with the companies that deserve them. About Dex Dex is backed by a16z Speedrun, Concept Ventures and angels from OpenAI, Wise, ElevenLabs, Meta's board, and many more. We're an ambitious, direct and kind group of people, we value authenticity, ambition and people who make things happen. We're a team of 12 (and growing) based in London (Borough). We work together 3-ish times a week because we value in person time, but we're person centric and flexible. We hire adults who can manage their own schedules. About the Role ML engineering role, not a research role, not a prompt engineering role. You understand the underlying mechanics: how embeddings encode meaning, how attention shapes retrieval, and how to build and evaluate representations that power matching and ranking systems. You use LLMs where they're the right tool, but your first instinct is to understand the problem at a model level, not to reach for an API. The work is concrete: building a system that takes a new role and stack ranks the entire candidate database against it in seconds. You own the representations and scoring models that sit at the core of how Dex connects engineers with companies. The matchmaking engine you build here is the foundation that powers everything that comes next-candidate facing products, automated outreach, smarter sourcing-so you're building for durability, not just the immediate use case. Your ML judgment is backed by solid engineering execution. What You'll Do Own the matchmaking engine-build and improve the AI driven talent matching system; design representations, scoring models, and instrumentation from the ground up. Work with embeddings and retrieval-build and evaluate embedding models, vector search, and semantic retrieval systems that power candidate to role matching. Design and run evaluations-build practical eval frameworks for model behaviour and output quality; make rollout safety and failure handling first class concerns. Contribute to agent and LLM systems-work on the voice agent backend and LLM pipelines with a model level understanding of what's actually happening. Ship reliable backend services-build production grade Python services, not prototypes; handle errors, retries, latency, and observability as standard. About you ML foundations-you understand how embeddings, attention, and retrieval systems work at a model level; you can reason about representations, not just API responses. Production judgment-you know when to use an LLM, when to use classical ML, and when to use neither; you've made these calls in production, not just in notebooks. Evaluation and guardrails mindset-you build evals before things go wrong; you design failure handling and rollout safety into systems from the start. Backend execution strength-you ship reliable, maintainable services; your track record shows production ML systems, not just impressive demos. Strong technical depth in: Python backend (FastAPI or equivalent, async patterns, Postgres, Redis) Embeddings, vector search, and semantic retrieval (building and evaluating, not just calling) ML model evaluation-Metrics design, offline/online eval, failure analysis LLM integration with model level understanding (attention, context windows, trade offs) Nice to Have Experience with recommendation systems, ranking models, or candidate/item matching Classical ML background (supervised/unsupervised, feature engineering, gradient boosting) Experience with voice agents or real time audio pipelines Familiarity with Pydantic AI or similar agent frameworks Experience in recruiting tech or marketplace systems Why this is a great opportunity Dex represents an opportunity to join a well funded, early stage business that is solving a real and relatable problem in a gigantic market. This is an opportunity to build a brand from the early stages in a team that cares deeply about brand and design. We work in a market that has an absolute dearth of intentional brands and designs; we want to stand out from that. There will be a generational company built in this space, we believe it's going to be Dex. What we offer Above market salary-you're building a world class team and believe pay should match that ambition. Significant equity- we want this to be the last job you 'have' to take. Full private healthcare & dental-because life happens and we want to support you. Fertility benefits & enhanced parental support Gym membership & wellness benefits Claude tokens-lots and lots of Claude tokens Regular socials, offsites, and an annual trip MacBook Pro + team kit "Whatever you need" approach to tools and support
19/05/2026
Full time
Our Mission Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance? Dex's mission is to close the gap between Talent & Opportunity; we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world. We're starting by connecting the world's most ambitious software engineers with the companies that deserve them. About Dex Dex is backed by a16z Speedrun, Concept Ventures and angels from OpenAI, Wise, ElevenLabs, Meta's board, and many more. We're an ambitious, direct and kind group of people, we value authenticity, ambition and people who make things happen. We're a team of 12 (and growing) based in London (Borough). We work together 3-ish times a week because we value in person time, but we're person centric and flexible. We hire adults who can manage their own schedules. About the Role ML engineering role, not a research role, not a prompt engineering role. You understand the underlying mechanics: how embeddings encode meaning, how attention shapes retrieval, and how to build and evaluate representations that power matching and ranking systems. You use LLMs where they're the right tool, but your first instinct is to understand the problem at a model level, not to reach for an API. The work is concrete: building a system that takes a new role and stack ranks the entire candidate database against it in seconds. You own the representations and scoring models that sit at the core of how Dex connects engineers with companies. The matchmaking engine you build here is the foundation that powers everything that comes next-candidate facing products, automated outreach, smarter sourcing-so you're building for durability, not just the immediate use case. Your ML judgment is backed by solid engineering execution. What You'll Do Own the matchmaking engine-build and improve the AI driven talent matching system; design representations, scoring models, and instrumentation from the ground up. Work with embeddings and retrieval-build and evaluate embedding models, vector search, and semantic retrieval systems that power candidate to role matching. Design and run evaluations-build practical eval frameworks for model behaviour and output quality; make rollout safety and failure handling first class concerns. Contribute to agent and LLM systems-work on the voice agent backend and LLM pipelines with a model level understanding of what's actually happening. Ship reliable backend services-build production grade Python services, not prototypes; handle errors, retries, latency, and observability as standard. About you ML foundations-you understand how embeddings, attention, and retrieval systems work at a model level; you can reason about representations, not just API responses. Production judgment-you know when to use an LLM, when to use classical ML, and when to use neither; you've made these calls in production, not just in notebooks. Evaluation and guardrails mindset-you build evals before things go wrong; you design failure handling and rollout safety into systems from the start. Backend execution strength-you ship reliable, maintainable services; your track record shows production ML systems, not just impressive demos. Strong technical depth in: Python backend (FastAPI or equivalent, async patterns, Postgres, Redis) Embeddings, vector search, and semantic retrieval (building and evaluating, not just calling) ML model evaluation-Metrics design, offline/online eval, failure analysis LLM integration with model level understanding (attention, context windows, trade offs) Nice to Have Experience with recommendation systems, ranking models, or candidate/item matching Classical ML background (supervised/unsupervised, feature engineering, gradient boosting) Experience with voice agents or real time audio pipelines Familiarity with Pydantic AI or similar agent frameworks Experience in recruiting tech or marketplace systems Why this is a great opportunity Dex represents an opportunity to join a well funded, early stage business that is solving a real and relatable problem in a gigantic market. This is an opportunity to build a brand from the early stages in a team that cares deeply about brand and design. We work in a market that has an absolute dearth of intentional brands and designs; we want to stand out from that. There will be a generational company built in this space, we believe it's going to be Dex. What we offer Above market salary-you're building a world class team and believe pay should match that ambition. Significant equity- we want this to be the last job you 'have' to take. Full private healthcare & dental-because life happens and we want to support you. Fertility benefits & enhanced parental support Gym membership & wellness benefits Claude tokens-lots and lots of Claude tokens Regular socials, offsites, and an annual trip MacBook Pro + team kit "Whatever you need" approach to tools and support
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, 9fin is accelerating toward becoming the category defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Applied AI Manager to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: Lead the design and delivery of complex ML and GenAI systems, ensuring solutions are robust, scalable, and aligned with business goals. Guide the team in end to end model development - from experimentation and evaluation through deployment and monitoring - with a focus on reproducibility and reliability. Drive architectural decisions for data intensive, AI driven applications, making informed trade offs between cutting edge approaches and practical production readiness. Mentor and grow engineers across levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure. Collaborate cross functionally with stakeholders across the company to shape roadmaps, scope ambitious projects, and balance technical innovation with delivery. Champion engineering excellence - from coding standards and CI/CD pipelines to observability and incident management - creating a culture of technical rigor and continuous improvement. Be a visible technical leader within 9fin, pushing forward the adoption of AI/ML across teams and influencing company wide strategy. About You This role will be a great fit if you: Have proven experience leading engineering teams in a high growth, fast paced environment. Care deeply about people development - mentoring engineers, conducting thoughtful performance reviews, and building inclusive, high performing teams. Combine strong software engineering skills (Python preferred) with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data/infra stacks. Have hands on experience building and deploying ML/GenAI systems in production, ideally in domains with high complexity (finance, legal, or similar data heavy spaces). Lead architectural discussions and technical trade offs while staying close enough to dive into details when needed. Know your way around cloud infrastructure (AWS preferred) and modern MLOps practices. Thrive in a collaborative, startup style environment: adaptable, decisive, and excited to work cross functionally to deliver real business impact. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget AI experimentation budget of £800 (UK) per employee to trial AI tools Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
19/05/2026
Full time
About 9fin 9fin is the AI platform powering global debt markets - the world's largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best in class retention driven by deep workflow adoption. We're at a defining inflection point. With proven product market fit and strong, global market pull, 9fin is accelerating toward becoming the category defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world class work with groundbreaking technologies to build data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Applied AI Manager to accelerate our application of AI across teams and products. Come and join us, you will get to build large scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers! Every day is different, but here's an example of the kind of things you'll work on: Lead the design and delivery of complex ML and GenAI systems, ensuring solutions are robust, scalable, and aligned with business goals. Guide the team in end to end model development - from experimentation and evaluation through deployment and monitoring - with a focus on reproducibility and reliability. Drive architectural decisions for data intensive, AI driven applications, making informed trade offs between cutting edge approaches and practical production readiness. Mentor and grow engineers across levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure. Collaborate cross functionally with stakeholders across the company to shape roadmaps, scope ambitious projects, and balance technical innovation with delivery. Champion engineering excellence - from coding standards and CI/CD pipelines to observability and incident management - creating a culture of technical rigor and continuous improvement. Be a visible technical leader within 9fin, pushing forward the adoption of AI/ML across teams and influencing company wide strategy. About You This role will be a great fit if you: Have proven experience leading engineering teams in a high growth, fast paced environment. Care deeply about people development - mentoring engineers, conducting thoughtful performance reviews, and building inclusive, high performing teams. Combine strong software engineering skills (Python preferred) with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data/infra stacks. Have hands on experience building and deploying ML/GenAI systems in production, ideally in domains with high complexity (finance, legal, or similar data heavy spaces). Lead architectural discussions and technical trade offs while staying close enough to dive into details when needed. Know your way around cloud infrastructure (AWS preferred) and modern MLOps practices. Thrive in a collaborative, startup style environment: adaptable, decisive, and excited to work cross functionally to deliver real business impact. Benefits We're a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance Competitive Salary (our salary bands are benchmarked at the top end of the market) Equity Pension (your minimum contributions are 4% with 9fin matching up to 7%) Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes Time off 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget AI experimentation budget of £800 (UK) per employee to trial AI tools Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you're excited about this role but your experience doesn't perfectly align with the job description, we encourage you to apply anyway. You might just be who we're looking for - either for this role, or perhaps another.
Information Facilities Management Ltd.
Birmingham, Staffordshire
Senior Product Analyst - Band D - Attachment/FTC (12 months) Department: Product Analytics Locations: Salford, London, Newcastle, Birmingham, Glasgow, Edinburgh, Cardiff, Bristol Salary: up to £59,500 (depending on relevant skills, knowledge and experience) We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC has been serving audiences online for a quarter of a century. Across key products including iPlayer, Sounds, Bitesize, BBC News and BBC Sport, we entertain, educate and inform audiences in their millions every day. Behind the scenes, we are making the shift from broadcasting to a service shaped by our audiences and designed around their wants and needs. We are creating personalised products and services that bring the right content to the right people at the right times- a personalised BBC. Data is fundamental to our future and in Product Analytics we help shape that future by harnessing broad and exciting data sets to understand the experiences and needs of our audiences, providing data driven insights that help Product Group create richer, more personalised experiences that our audiences love. Key Responsibilities and Impact Build a clear understanding of our audiences' experience and needs to guide product design and development Work closely with product managers, engineers and business analysts, championing data and taking the lead in understanding problem areas and working collaboratively on solutions Develop and mentor members of the wider team Support decision making across the Product Group by gaining a broad understanding of our Product portfolio and working flexibly to support business goals Build and maintain dashboards and reports to facilitate data led decision making Support experimentation by working with product and engineering teams to set up and run experiments, and analyse and draw insight from the results Proactively look for opportunities to optimise audience experience and drive engagement Work to improve and shape our data analysis capabilities through automating data pipelines and working to understand and resolve any data issues Advocate for the value of data in driving effective decision making Your Skills and Experience Essential Significant experience in an analytical role, preferably in digital products Proactive self starter, focused on working strategically and for maximum value Advanced SQL skills, experience working with very large and complex datasets and working knowledge of how digital products use experimentation A focus on collaboration and thrives working as part of a cross functional team, ability to mentor and develop others Excellent data visualisation skills and experience with tools such as Tableau Desired Knowledge of R or Python Experience working with on demand audio media products Familiarity with agile or other rapid application development methods Experience with Data Science & Machine Learning and an understanding of data pipelines and/or data modelling Experience with Optimizely integrations and tooling Excellent time management skills and the ability to prioritise effectively Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. This listing expired on 16 Mar. Applications are no longer accepted.
17/05/2026
Full time
Senior Product Analyst - Band D - Attachment/FTC (12 months) Department: Product Analytics Locations: Salford, London, Newcastle, Birmingham, Glasgow, Edinburgh, Cardiff, Bristol Salary: up to £59,500 (depending on relevant skills, knowledge and experience) We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC has been serving audiences online for a quarter of a century. Across key products including iPlayer, Sounds, Bitesize, BBC News and BBC Sport, we entertain, educate and inform audiences in their millions every day. Behind the scenes, we are making the shift from broadcasting to a service shaped by our audiences and designed around their wants and needs. We are creating personalised products and services that bring the right content to the right people at the right times- a personalised BBC. Data is fundamental to our future and in Product Analytics we help shape that future by harnessing broad and exciting data sets to understand the experiences and needs of our audiences, providing data driven insights that help Product Group create richer, more personalised experiences that our audiences love. Key Responsibilities and Impact Build a clear understanding of our audiences' experience and needs to guide product design and development Work closely with product managers, engineers and business analysts, championing data and taking the lead in understanding problem areas and working collaboratively on solutions Develop and mentor members of the wider team Support decision making across the Product Group by gaining a broad understanding of our Product portfolio and working flexibly to support business goals Build and maintain dashboards and reports to facilitate data led decision making Support experimentation by working with product and engineering teams to set up and run experiments, and analyse and draw insight from the results Proactively look for opportunities to optimise audience experience and drive engagement Work to improve and shape our data analysis capabilities through automating data pipelines and working to understand and resolve any data issues Advocate for the value of data in driving effective decision making Your Skills and Experience Essential Significant experience in an analytical role, preferably in digital products Proactive self starter, focused on working strategically and for maximum value Advanced SQL skills, experience working with very large and complex datasets and working knowledge of how digital products use experimentation A focus on collaboration and thrives working as part of a cross functional team, ability to mentor and develop others Excellent data visualisation skills and experience with tools such as Tableau Desired Knowledge of R or Python Experience working with on demand audio media products Familiarity with agile or other rapid application development methods Experience with Data Science & Machine Learning and an understanding of data pipelines and/or data modelling Experience with Optimizely integrations and tooling Excellent time management skills and the ability to prioritise effectively Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. This listing expired on 16 Mar. Applications are no longer accepted.
Location London, UK Employment Type Full time Location Type On-site Department Engineering About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
16/05/2026
Full time
Location London, UK Employment Type Full time Location Type On-site Department Engineering About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
Location London Employment Type Full time Location Type Hybrid Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role Working closely with the Product Lead, you will be an Engineer who operates at the intersection of core product development and clinical application. This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate, and ship AI features that support real-world care delivery. Experience working on clinical AI products is highly valued, as you'll be shaping systems that must perform safely in production environments. What you'll do: Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows. Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments. Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling. Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience. Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters. What we will look for: Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction. Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature. Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer. Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently. Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild. Medical degree with clinical experience, and ideally experience working on clinical AI products What do we believe in? Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world's health demands it. We believe in progress built through precision, pace, and ownership. Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters. Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character. Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on. Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output. Our mission is clear: expand the world's capacity to care, and do it without losing the humanity that makes care worth delivering. Why you should Join Heidi Real product momentum. We're not trying to generate interest, we're channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia's fastest growing start-up. Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day. Work alongside world-class talent. Join a team of operators and builders who've scaled unicorns. Global reach. Help shape our international expansion as we bring Heidi to key international markets. Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi's commitment to Diversity, Equity and Inclusion Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
15/05/2026
Full time
Location London Employment Type Full time Location Type Hybrid Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role Working closely with the Product Lead, you will be an Engineer who operates at the intersection of core product development and clinical application. This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate, and ship AI features that support real-world care delivery. Experience working on clinical AI products is highly valued, as you'll be shaping systems that must perform safely in production environments. What you'll do: Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows. Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments. Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling. Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience. Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters. What we will look for: Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction. Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature. Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer. Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently. Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild. Medical degree with clinical experience, and ideally experience working on clinical AI products What do we believe in? Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world's health demands it. We believe in progress built through precision, pace, and ownership. Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters. Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character. Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on. Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output. Our mission is clear: expand the world's capacity to care, and do it without losing the humanity that makes care worth delivering. Why you should Join Heidi Real product momentum. We're not trying to generate interest, we're channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia's fastest growing start-up. Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day. Work alongside world-class talent. Join a team of operators and builders who've scaled unicorns. Global reach. Help shape our international expansion as we bring Heidi to key international markets. Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi's commitment to Diversity, Equity and Inclusion Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
Location London, Melbourne, Sydney Employment Type Full time Location Type Hybrid Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role Working closely with the Product Lead, you will be a Mid level or Senior Fullstack Engineer who operates at the intersection of core product development and clinical application. This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate and ship AI features that support real world care delivery. Experience working on clinical AI products is highly valued, as you'll be shaping systems that must perform safely in production environments. What you'll do: Build end to end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows. Operationalize Voice AI: Implement and fine tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real world medical environments. Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behaviour, prompting strategies and audio handling. Optimise for real time interaction: Tune fullstack performance to handle real time audio streaming and token generation, minimising latency so clinicians have a seamless conversational experience. Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters. What we will look for: Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction. Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature. Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer. Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently. Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild. Medical degree with clinical experience, and ideally experience working on clinical AI products. What do we believe in? Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world's health demands it. We believe in progress built through precision, pace and ownership. Live Forever - Every release moves care forward: measured, safe and built to last. Data guides us, but patients define the truth that matters. Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking and our character. Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on. Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output. Our mission is clear: expand the world's capacity to care, and do it without losing the humanity that makes care worth delivering. Why you should Join Heidi Real product momentum. We're not trying to generate interest, we're channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia's fastest growing start up. Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day. Work alongside world class talent. Join a team of operators and builders who've scaled unicorns. Global reach. Help shape our international expansion as we bring Heidi to key international markets. Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership and your birthday off to recharge. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi's commitment to Diversity, Equity and Inclusion Heidi is dedicated to creating an equitable, inclusive and supportive work environment that brings people together from diverse backgrounds, experiences and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
15/05/2026
Full time
Location London, Melbourne, Sydney Employment Type Full time Location Type Hybrid Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role Working closely with the Product Lead, you will be a Mid level or Senior Fullstack Engineer who operates at the intersection of core product development and clinical application. This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate and ship AI features that support real world care delivery. Experience working on clinical AI products is highly valued, as you'll be shaping systems that must perform safely in production environments. What you'll do: Build end to end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows. Operationalize Voice AI: Implement and fine tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real world medical environments. Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behaviour, prompting strategies and audio handling. Optimise for real time interaction: Tune fullstack performance to handle real time audio streaming and token generation, minimising latency so clinicians have a seamless conversational experience. Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters. What we will look for: Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction. Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature. Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer. Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently. Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild. Medical degree with clinical experience, and ideally experience working on clinical AI products. What do we believe in? Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world's health demands it. We believe in progress built through precision, pace and ownership. Live Forever - Every release moves care forward: measured, safe and built to last. Data guides us, but patients define the truth that matters. Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking and our character. Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on. Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output. Our mission is clear: expand the world's capacity to care, and do it without losing the humanity that makes care worth delivering. Why you should Join Heidi Real product momentum. We're not trying to generate interest, we're channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia's fastest growing start up. Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day. Work alongside world class talent. Join a team of operators and builders who've scaled unicorns. Global reach. Help shape our international expansion as we bring Heidi to key international markets. Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership and your birthday off to recharge. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi's commitment to Diversity, Equity and Inclusion Heidi is dedicated to creating an equitable, inclusive and supportive work environment that brings people together from diverse backgrounds, experiences and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Help us reimagine primary care and change the face of healthcare in Australia and then around the world.
Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 498 - 679 Per Day Inside IR35 We're hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale. This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work. What you'll be doing: Build and maintain dashboards tracking experiment performance and platform adoption Analyse A/B tests, ensuring data quality, validity, and actionable insights Perform deep-dive and ad-hoc analysis on experiment health and user behaviour Work closely with product, engineering, and data teams to support decision-making Translate complex data into clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work independently in a distributed team environment Nice to have: Experience with BigQuery and dbt Exposure to experimentation platforms (e.g., Optimizely, LaunchDarkly) Familiarity with experiment quality frameworks or advanced testing methods If you're a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
13/05/2026
Contractor
Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 498 - 679 Per Day Inside IR35 We're hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale. This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work. What you'll be doing: Build and maintain dashboards tracking experiment performance and platform adoption Analyse A/B tests, ensuring data quality, validity, and actionable insights Perform deep-dive and ad-hoc analysis on experiment health and user behaviour Work closely with product, engineering, and data teams to support decision-making Translate complex data into clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work independently in a distributed team environment Nice to have: Experience with BigQuery and dbt Exposure to experimentation platforms (e.g., Optimizely, LaunchDarkly) Familiarity with experiment quality frameworks or advanced testing methods If you're a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Spotify is seeking a machine learning specialist to enhance its Personalization team. You will design innovative features and integrate emerging technologies like AI to improve user engagement. The role demands expertise in ML, natural language processing, and generative AI, with experience in deploying large-scale solutions. Applicants should collaborate effectively across teams and be ready to explore the intersection of audio and technology. Remote work flexibility is offered, with competitive compensation and comprehensive benefits.
13/05/2026
Full time
Spotify is seeking a machine learning specialist to enhance its Personalization team. You will design innovative features and integrate emerging technologies like AI to improve user engagement. The role demands expertise in ML, natural language processing, and generative AI, with experience in deploying large-scale solutions. Applicants should collaborate effectively across teams and be ready to explore the intersection of audio and technology. Remote work flexibility is offered, with competitive compensation and comprehensive benefits.
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
11/05/2026
Full time
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
