Product design engineer jobs in United Kingdom

Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. If you join us, you’ll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Top reasons to join our team: • Be a catalyst to deliver a truly disruptive products that are growing rapidly, • Define, build, own, and run a service in high growth environment, • Solve unique and first-order problems at massive-scale across many AWS Services, • Learn how to build and operate distributed systems at massive scale, • Build and influence the tools and utilities that are part of the AWS fleet running our internal services Key job responsibilities WHAT DOES A SYSTEMS ENGINEER DO AT AMAZON? Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.” On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes. Our Systems Engineering roles help engineers develop a broad range of skills. They utilise their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. They draw on their networking knowledge to identity and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About the team About AWS Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Working knowledge of Linux system administration and good troubleshooting skills at all levels, from application to network to host, • Experience of systems automation using BASH, Python, Perl, etc, • Experience of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP), • Exposure to cloud computing concepts and design considerations, • Knowledge of configuration management systems, such as: Puppet, Chef, Ansible, or related systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Principal Engineer – Combat Systems (External Communications) Location: Frimley- we offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role. Salary: Competitive What you’ll be doing: • Define and develop the ECS design through systems engineering principles, including; architecture, requirements, concept solutions and interfaces to enable the development and production of the component sub-systems, • Understand the contractual and performance requirements for communication products and sub-systems, and support the definition and associated acceptance criteria and events through design, build, integration, installation and commissioning activities, • Understand and support the flow-down of requirements to suppliers and acceptance of their specific deliverables, ensuring it is captured and recorded appropriately, • Support the EM and PM in supporting bids, proposal development and project planning activities, • Provide technical support to integrated performance and acceptance activities, including acceptance of equipment from suppliers through to system acceptance by the customer, • Knowledge and experience in wireless communication systems and products in the maritime, defence and/or commercial domains and an understanding of how such systems are used and interact with the overall submarine build programme, • STEM-related degree or equivalent experience within the aerospace/defence/telecommunications/marine environment, • Knowledge of the complete engineering lifecycle with experience in operating in a number of the key lifecycle phases including requirements/system design, and integration and acceptance, • Have a strong awareness of product safety and SHE As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive. The ECS Team The ECS team primarily focuses on designing, developing, and integrating the communications system on-board submarine platforms. As part of this growing team, you’ll explore innovative technologies and integrate them into cutting-edge designs. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 10th February 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-KP1 #LI-hybrid

Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work." We are looking for a Senior Data Engineer to join our Anti-Piracy team who will be responsible for expanding and optimizing our data pipeline as well as optimizing data flow and collection within the Anti-Piracy Team The Senior Data Engineer will be responsible for designing, building, and scaling the data infrastructure that powers our anti-piracy operations and intelligence capabilities. You'll develop and maintain data pipelines, architect data storage solutions, and help shape data standards and governance across the org. You'll partner closely with data scientists, analysts, and engineering teams to ensure our data is accurate, reliable, secure, and available when needed. The successful candidate must have strong technical skills as well as excellent communication skills. What you'll do: • Design, develop, and maintain scalable data pipelines for ingestion, transformation, storage, processing, analysis, and visualisation across multiple sources, • Build and optimize data infrastructure and ETL workflows to support reliable extraction, transformation, and loading of large, complex datasets, • Create and refine SQL queries, data models, and data structures to support reporting, analytics, and business-critical workloads, • Monitor, validate, and troubleshoot data systems to ensure accuracy, performance, security, and scalability, resolving issues proactively, • Automate manual workflows and implement internal process improvements to enhance data delivery efficiency and system reliability, • Contribute to data governance standards, metadata management, and versioning processes while collaborating with data science and cross-functional teams, • Maintain thorough documentation for data pipelines, systems, and processes, and stay current on modern data engineering tools, architecture patterns, and best practicesWhat you'll bring:, • Proven experience designing and scaling data pipelines and architectures in cloud environments (GCP and AWS desirable), • Deep experience with data modelling, schema design, ETL/ELT, warehousing concepts, and distributed data systems, • Hands-on experience working with large, complex, or messy datasets and making them usable, • Strong SQL and scripting/programming skills (Python required; Java/Scala/C++ a plus), • Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.), • Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.), • Knowledge of data security, access control, and best practices for handling sensitive data, • Experience collaborating across engineering, analytics, and product teams, • Strong communication skills, especially explaining data concepts to non-technical stakeholdersTeam overview: Sky's Group Anti-Piracy team's purpose is to make our great content unavailable to pirates, and to make pirated content unattractive to consumers. We prevent the theft of Sky's content by making sure our platforms, like Sky Q, are secure and we deploy cutting edge technology, intelligence and investigations to stay one step ahead. We enforce the law and we work with our partners, like the big tech and social media platforms, to make sure that they understand the threat, and take action. The Rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesHow you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do • Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle., • Proven Automation experience using Public Cloud or Microsoft Technologies, • Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards., • Proven record of delivering AI solutions from concept to production with measurable business impact., • Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability., • Passionate about AI technologies, automation, and innovation at speed and scale., • Experience in refactoring, optimisation, and writing clean, performant code., • Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry., • Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards • There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:, • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

A London-based creative design and production agency specialising in high-impact retail environments for the skincare and beauty sector is seeking a Product Design Engineer to join one of its multidisciplinary account teams. Known for delivering next-level brand experiences, the studio combines crea

Job title: Senior Full-Stack AI Engineer Location: GSK HQ Team: Enterprise AI - Data Science UK Contract: 6 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview GSK are seeking a Senior Full Stack AI Engineer with a strong focus on frontend engineering, user experience and product delivery. You will lead the design and implementation of immersive, interactive web experiences that leverage large language models (LLMs) as core product capabilities. In this role you will collaborate closely with product, UX/design, ML research and platform teams to translate user needs into elegant, reliable AI-powered experiences, and drive agile delivery from prototype to production. Key Responsibilities • Deliver highly interactive frontends (involving text based and video based chat experiences) built with modern frameworks like React that integrate LLM-driven features (conversational interfaces, tool-assisted workflows, structured editors, visualizations) to boost marketing productivity., • Enable measurement / analytics to track usage of the app and of LLM features, • Own the end-to-end product experience for LLM-enabled features: collaborate with UX/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics., • Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability., • Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks, Context, Redux/Zustand/Recoil, server-state patterns)., • Build responsive, accessible, and performant UI components and design systems (component libraries, theming, design tokens) to ensure consistent product quality and fast iteration., • Implement real-time and progressive UX patterns (WebSockets, SSE, streaming LLM responses, optimistic updates, incremental rendering) that make AI interactions feel fast and human-centered., • Collaborate on frontend work with UX designers and researchers, follow standard coding conventions, and implement best practices for design, accessibility, testing and observability., • Work with backend and platform engineers to define APIs, ingestion pipelines, vector retrieval, caching and rate-limiting strategies that support robust LLM behavior., • Drive agile delivery: break down features into deliverable increments, run sprint planning, pair with the tech PM on prioritization, and ensure production readiness through CI/CD, feature flags and canary releases., • Define and instrument UX and model-level metrics (engagement, latency, hallucination rates, user satisfaction) and use those signals to prioritize improvements., • Ensure security and privacy are integrated into the UX (PII handling, consent flows, data minimization, redaction and access controls). Minimum Requirements • 6+ years building production web applications with proven ownership of user-facing features; significant experience in frontend engineering and product delivery., • Deep expertise with React (functional components, hooks) and modern frontend ecosystems including CI/CD., • Demonstrable experience building highly interactive, immersive frontends (rich state, animations, canvas/visualizations, streaming UIs or collaborative editing)., • Strong UX sensibility and experience working directly with designers to translate wireframes and prototypes to polished, accessible product UIs., • Hands-on experience integrating LLMs / generative models into applications (OpenAI, Anthropic, local/open-source LLMs): prompt engineering, response handling, safety guardrails, RAG architectures., • Good understanding of how large language models work, including transformer architecture, tokenization, attention mechanisms, decoder/encoder-decoder variants, fine-tuning/few-shot approaches, and common failure modes (hallucinations, bias, context-window limitations)., • Solid backend experience (Node.js/TypeScript, Python, or similar) to collaborate on APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features., • Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing)., • Proven track record delivering features in agile teams: sprint planning, incremental delivery, feature flagging, A/B tests and operationalizing metrics., • Strong software engineering fundamentals: testing (unit/integration/E2E), observability, performance profiling, and security-aware development., • Excellent communication skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements • Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs)., • Advanced visualization/graphics skills or experience building interactive applications, • Experience with design systems and component libraries (Figma workflows, design tokens), • Background in regulated industries (healthcare, pharma, finance) with awareness of compliance and data governance constraints., • Contributions to open-source projects, public talks or technical writing about LLM-enabled UX or frontend engineering. How to Apply Please submit your CV via the application form. If your initial application is successful, one of our recruiters will be in touch. Should you reach this stage, you will likely be required to submit the following in addition to your CV: • One or two recent projects where you led the frontend/UX for an LLM-enabled product (provide links, screenshots, architecture diagrams or repos where possible)., • The primary UX decisions you made and why (trade-offs, accessibility/performance considerations)., • Key technical challenges you faced (model behavior, latency, security) and how you solved them. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Pre-Sales Engineer | Legal Tech | London (Hybrid) We’re working with a fast-growing legal tech business that’s redefining how professional services firms use technology. As they scale in the UK, they’re looking for a confident, client-facing Pre-Sales Engineer who loves showing great software to real people. This role is perfect for someone who’s genuinely good at demoing solutions, can translate technical capability into business value and enjoys working closely with both clients and internal teams. What you’ll be doing • Leading the technical side of the sales cycle including discovery, solution design, demos and RFPs, • Configuring the system to deliver tailored, high-impact demonstrations that address client pain points, • Acting as a trusted technical advisor to prospective clients, from first conversation through to decision, • Collaborating closely with sales, product and engineering to ensure client needs are clearly understood and well represented, • Helping qualify opportunities, identify risks and shape the right solution early, • Contributing to sales collateral, technical documentation and internal enablement materials What we’re looking for • 2-3+ years experience in pre-sales, sales engineering or a consultative technical role within B2B SaaS or enterprise software (legal tech would be a bonus), • Someone who is genuinely strong at live demos and comfortable presenting to senior stakeholders, • A collaborative mindset with the ability to work effectively across sales, product and engineering, • Hands-on experience with system configuration and solution design, • The ability to explain complex technical concepts clearly to both technical and non-technical audiences, • Python or SQL experience would be useful but not essential, • Self-motivated, curious and comfortable in a fast-moving environment Why this role You’ll be joining a business with strong momentum, a modern cloud-based platform and big ambitions. Your work will directly influence deals, product direction and client success, not just sit in the background. If you enjoy being front and centre with clients, shaping solutions and making technology come alive through great demos, this one’s worth a conversation. There is a competitive base salary, bonus and benefits package on offer as well as excellent scope to progress your career. Candidates for this role need to have the right to work in the UK as the hiring company are unable to offer any form of visa sponsorship.

Founding Engineer – Early-Stage Deep Tech Startup Full-time | Onsite in London £180,000 + Substantial Equity An early-stage, stealth-mode startup is looking for a Founding Engineer to join the team in central London. This is a unique opportunity to help build a transformative new platform at the intersection of software systems, automation, and intelligent infrastructure. Founded by leading academics and proven entrepreneurs, the business is backed by top-tier investors and is solving complex technical problems that demand creativity, rigour, and ambition. The Role • Build and own core systems and architecture from the ground up, • Work closely with the founding team on product direction and technical strategy, • Make key decisions across the full stack — from infrastructure to user-facing elements, • Contribute to the early engineering culture, processes, and hiring Ideal Background • Experience building complex systems in a startup or high-growth tech environment, • Strong computer science fundamentals; comfortable working across multiple layers of the stack, • Demonstrated ability to operate in fast-moving, ambiguous environments, • Bonus: familiarity with compilers, distributed systems, systems design, or programming languages theory Offer • £180,000 base salary, • Significant equity in a high-potential startup, • London-based, full-time — onsite collaboration with a world-class founding team

🔥 Senior Software Engineer – Build a Platform Used by Millions Join a fast-growing consumer brand powering real-time, personalised customer experiences at scale. Package 💷 £70–90k + 5% bonus 🏢 Hybrid (2 days onsite, London) What you’ll do • Own the full lifecycle of services: API design, architecture, deployment, and production, • Build an internal platform delivering consistent, real-time communications across multiple digital touchpoints, • Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack • Node.js (TypeScript), Ruby, • Event-driven systems (Kafka), APIs, • AWS / GCP, Kubernetes Why it’s exciting • Work at scale in a high-traffic, consumer-facing environment, • Strong engineering culture: automated testing, reliable CI/CD, observability, distributed systems, • True end-to-end ownership and impact 📩 Interested? DM your CV and notice period today! 🔥 Senior Software Engineer – Build a Platform Used by Millions

Carbon Emission/Green Tech Start-up | Lead & Full Stack Engineer | LDN 2 Days Per Week | £50K - £120K + Healthy Equity Company: I'm looking for Full Stack Engineers who are excited about elegant systems as they are about real-world impact. Their mission is to reduce carbon emissions in the UK building a razor sharp platform for heat pumps to be installed in homes up and down the Country. You'll join a lean, talented team of engineers and work directly on tools that accelerate the energy transition — like: -> Automated design tools for heat pump systems -> A survey app for collecting property data on-site -> 2D/3D floorplan creators (maybe even with LiDAR and CV!) -> Country-wide data tools through large-scale scraping + mapping -> Hardware integrations (e.g. bluetooth laser measures, sensors) -> Offline-first/PWA apps for installers on the move Tech Stack: -> React, TypeScript, Konva, Tailwind -> Node.js, PostGREST, Prisma -> PostgreSQL / PostGIS, Docker, Atlas -> (Sunsetting Python + FastAPI) Requirements for Carbon Emission/Green Tech Start-up | Lead & Full Stack Engineer | LDN 2 Days Per Week | £50K - £120K + Healthy Equity -> 2+ years commercial experience -> STEM Background -> React + TypeScript (you’re confident building fast, dynamic UIs) -> SQL and relational database design -> RESTful APIs and distributed systems -> Scalable and secure architectures -> Owning features end-to-end, from shaping the product idea to shipping the code. Type of engineer for Carbon Emission/Green Tech Start-Up | Lead & Full Stack Engineer | LDN 2 Days Per Week | £50K - £120K + Healthy Equity ->You’re product-minded — you care about the user and the why behind every line of code. ->You’re impact-driven — you want to move fast and make a real dent in the climate crisis. ->You’re collaborative — you're excited to work closely with a tight-knit, in-person team. ->You’re into sustainable tech, heat pumps, or building a greener future. Remuneration & Benefits -> £50,000 - £120,000 + meaningful equity -> 33 days holiday + work abroad up to 30 days/year -> Hybrid working between London & Bristol studios -> Work closely with a brilliant, mission-led team If you want to hear more about the Carbon Emission/Green Tech Start-up | Lead & Full Stack Engineer | LDN 2 Days Per Week | £50K - £120K + Healthy Equity please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

Full Stack Engineer / Developer (Python TypeScript) London / WFH to £120k Are you a technologist with start-up experience looking for your next opportunity? You could be progressing your career at a tech start-up that is producing an AI native data pipelining platform. As a Full Stack Engineer within a small team, you will build and implement new features across the full tech stack, with a focus on backend Python and TypeScript and some React work on the front end. You'll take ownership and work across the full development lifecycle, collaborating with customers to build and scale the product. The work is interesting and complex, you'll be able to contribute to the product vision and strategy playing a pivotal role in the company's success. Location / WFH: You'll join colleagues in the London office (close to Waterloo) with flexibility to work from home twice a week. About you: • You have strong backend Python coding skills, including API development, • You have full stack experience, including TypeScript and React (or another framework), • You have a good understanding of system design and scalability, • You're familiar with other technology in the stack including: AWS, Terraform, Docker, PostgreSQL, DynamoDB, CI/CD, GitHub actions, Blacksmith runners, • You're collaborative and pragmatic with great communication skills, keen to input into technical discussion and decision making What's in it for you: As a Full Stack Engineer you will receive a competitive package: • Salary to £120k, • Equity, • Impactful role with excellent career progression as the company scales, • Hybrid working, • Pension Apply now to find out more about this Full Stack Engineer / Developer (Python TypeScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

AdvisoryAI is building the AI co-pilot that's transforming wealth management. We automate the tedious middle-office work that buries financial advisors, freeing them to focus on what matters: their clients. Founded by Entrepreneur First alumni, we've scaled to thousands of daily active users and are currently valued at £100 million. We're raising our Series A in 2025. We need cracked Software Engineer to help us scale. You'll build the infrastructure powering the next generation of financial advice—working directly with founders, shipping fast, and capturing meaningful equity in a rocket ship company. This is your chance to join early, build something that matters, and win big. 🧑🏻‍💻 Our Current Tech • Infrastructure: Python 3.11+, FastAPI, React/TypeScript, AWS (Lambda, ECS, Bedrock, SageMaker), PostgreSQL + Qdrant, Redis, Docker, Kubernetes, GitHub Actions, Terraform, • Vector Search: Pinecone, pgvector, hybrid retrieval (dense + sparse + re-ranking), • Fine-tuning: LoRA, full fine-tuning pipelines, RLHF for compliance alignment, • MLOps: LangSmith for tracing, custom evaluation frameworks, A/B testing infrastructure, • Monitoring: Real-time hallucination detection, PII scanning, cost tracking, latency monitoring Location: UK More than just code, you'll be: • A builder: Design production LLM systems handling 10K+ daily requests, build meta-prompt engines for regulatory compliance, and architect RAG systems with <100ms query times, • A collaborator: Work alongside founders and engineers shipping ML infrastructure that directly impacts thousands of financial advisors, • An innovator: Push boundaries with model fine-tuning, advanced prompt engineering, and MLOps infrastructure for mission-critical financial applications We're looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset. • Strong Python development with production ML/LLM systems, • Experience deploying and monitoring LLMs at scale, • Deep understanding of prompt engineering, RAG architectures, and LLM evaluation, • Comfortable with AWS/GCP services (Lambda, Bedrock, SageMaker) and cloud infrastructure, • Very comfortable with PostgreSQL/Qdrant and vector databases, • Experience building scalable systems (APIs, Docker, Kubernetes, distributed systems), • Experience shipping products from 0 to production, • Autonomous in your work, proactive while working with cross-functional teams, • Preferably with prior experience in high-velocity startup environments, • Prefer people either living in UK Our values We’re a small team with big dreams - and the culture we create is just as important to us as the product we’re building. 📈 Growth oriented Slope y intercept. We invest in people and growth as the company grows. 💚 Humility Everyone has a lot to give and a lot to learn. Egos are not allowed. 🌟 Customer focused We love our customers. We make decisions by focusing relentlessly on them - and accept if this means changing our ideas. Customer success is our success. 💡 Intellectual honesty We believe in creating an environment where the best ideas win and acknowledging when we are wrong. 👾 Hack to success We move fast and take big swings. We always aim for a solution that addresses 80% of the problem in 20% of the time. We make educated bets, launch MVPs, and iterate. 🔥 Having fun Be unapologetically you! We love our game-nights, ping pong tournaments, bufo emojis, and cow jokes. Company Benefits Not sold yet? Check out some benefits you’ll have access to as well: 🧧 Competitive compensation and equity ✈️ Flexible work culture 🌻 Unlimited days paid time off every year 🍱 Free lunch and dinners 💻 $700/year work setup stipend 🌴 Annual team offsite 🌿 Unlimited snacks and caffeine (because brilliant ideas need fuel).

Senior JavaScript / TypeScript Engineer | Data Visualisation | 2D Graphics London | to £200,000 depending on exp. I'm hiring a Senior Engineer to work on a widely-used, open-source charting library relied on by thousands of engineers building data-intensive products. This is not a typical frontend role. You’ll be working at the heart of a graphics and visualisation engine — solving problems around rendering, performance, correctness, and API design. Why engineers take this role You work on the hard stuff This is core library engineering: rendering engines, chart primitives, 2D graphics, and public APIs — not feature churn or framework glue. Your skills compound, fast You’ll deepen fundamentals that actually last: algorithms, performance, graphics, and system design. The kind of experience that makes you harder to replace and easier to trust. Real ownership, end to end You take features from concept through to release. No product theatre. No endless hand-offs. Just proper engineering responsibility. Your work is visible and respected You’ll be contributing to a well-known open-source project used in serious production environments — experience that carries weight long after this role. A grown-up engineering culture No outsourcing. No heroics. No late nights disguised as “passion.” High standards, good planning, and engineers who care about craft. It future-proofs your career As tooling gets automated, engineers who understand systems, performance, and primitives become more valuable — not less. What you’ll be doing • Designing, building, testing and releasing features end-to-end, • Working across rendering, chart types, animations, and APIs, • Solving performance-sensitive and correctness-critical problems, • Collaborating with other senior engineers on integrated visual systems, • Optionally contributing to technical blogs, talks or demos What I'm looking for • 5+ years building serious software (products, platforms, or libraries), • Strong JavaScript and/or TypeScript fundamentals, • Experience with 2D graphics (Canvas, SVG, Processing, or similar), • Solid grounding in data structures, algorithms, and software design, • Experience with at least one statically typed language, • Working understanding of basic linear algebra Apply in confidence. Company details shared at first conversation.

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Senior Backend Engineer (Go) — London | Onsite We’re hiring an experienced Go Engineer to help build and scale high-throughput, real-time data platforms. You’ll work closely with product and data teams to design systems that reliably ingest, process, and deliver market-scale data — with a big focus on performance, resilience, and clean engineering practices. What you’ll be doing • Designing and building high-throughput backend services, • Owning technical decisions + improving system performance, • Integrating multiple external data + API sources, • Writing scalable, well-tested, maintainable Go code, • Collaborating with data + infrastructure teams What you’ll bring • Strong experience building scalable, reliable backend systems, • Proficiency in Go, • Experience with relational + non-relational DBs, • (PostgreSQL + Redis = big plus), • Solid testing mindset (unit, integration, E2E) Nice to have • Experience with websockets / streaming / queues, • Real-time data platforms, • Interest in fintech / digital assets If you enjoy solving real-time, large-scale data challenges and want to work onsite with a collaborative engineering team — let’s chat.

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

Founding Software Engineer | AI Voice Agents for Skilled Trades £150k to £300k base + meaningful equity + benefits London (on-site, 5 days per week) Founding-level role, high ownership from day one Sponsorship + relocation bonus from anywhere in the world offered. The mission Build AI voice agents that help trades and field services businesses run smoother, scale faster, and deliver a genuinely better customer experience. This is not “AI for vibes.” It’s production automation that answers calls, handles messages, books jobs, and takes actions inside the tools these businesses already use. The story so far (the bit candidates actually care about) • Backed by Y Combinator (S23), founded in 2023, • A ~10 person team building fast and in-person, • Recently raised a Series A, • ~$1.5m ARR If you want a founding role where the product already works, the market is huge, and the backing is real, this is that. What you will do • Build and ship core product features across the stack (Python, TypeScript, cloud infra, event-driven systems, third-party integrations), • Own the lifecycle end-to-end: work directly with customers, scope solutions, ship outcomes, iterate quickly, • Make smart speed decisions: hack an MVP when it unlocks value, then harden it into scalable foundations, • Raise the bar across testing, documentation, reliability, and security as the platform scales, • Build the “hard stuff”: LLM workflows, speech-to-text, text-to-speech, real-time automation, and the glue that makes it reliable in production What you will bring • Strong engineering fundamentals: you can design, debug, and ship reliable systems, • Proficiency in Python or TypeScript, or clear proof you ramp fast, • Experience shipping AI products end-to-end (startup, side project, open source, or at scale), • Comfort working across frontend, backend, and infrastructure (you go where the problem is), • Confidence working with customers or non-technical stakeholders to scope, negotiate, and deliver, • A track record of ownership (shipping gnarly projects, building things people actually use) Bonus points for: early-stage startup experience, voice platforms, event-driven systems The process Screening chat → hands-on technical → architecture deep dive → references → offer. Adjustments available. Understanding Recruitment is acting as an employment agency for this vacancy. We welcome applicants from all backgrounds. If you need adjustments, tell us and we will make it work.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

About the job Reporting to a Software Engineering Manager or Head of Engineering, we are seeking a Lead Back End Software Engineer to be the go-to authority for backend engineering, setting the technical vision, guiding architecture, and driving improvements in tools, processes, and delivery practices. You’ll remain hands-on for critical work, but your greatest impact will come from technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy with business goals and ensuring our backend capabilities are future-ready. ___ ✨ 📝 What You'll Be Doing… Technical Leadership • Define and evolve backend architecture to ensure scalability, maintainability, and performance., • Set coding standards and champion secure development practices (e.g. OWASP)., • Influence technology choices, frameworks, and tools to support engineering excellence., • Oversee improvements to CI/CD pipelines, build processes, and operational workflows., • Can clearly and confidently articulate risk of technical problems to non technical stakeholders (e.g legal, product owner, designer), • Leads projects and features to good outcomes, ensuring appropriate engineering decisions are made to factor in technical debt, systems design, stability/reliability, monitoring/observability and business need. Hands-On Guidance • Contribute to key backend systems when your expertise is needed., • Review and refine critical code, ensuring alignment with architectural goals and best practices., • Provide technical oversight for major initiatives, ensuring architectural soundness. Mentoring & Collaboration • Coach, mentor, and develop engineers, raising capability across the backend discipline., • Facilitate design discussions, code reviews, and collaborative problem-solving sessions., • Build consensus for architectural and technical decisions across teams and stakeholders. Check out the full details, including day-to-day duties and responsibilities on our website: ___ 🤩We’d love to hear from you if… • You have strong backend engineering experience, ideally including Java (Java 11+) and Spring Boot., • You have proven ability to design and lead backend architectures for complex systems., • You are familiar with cloud environments (AWS is mandatory) and container orchestration (Kubernetes)., • You are experienced in event-driven architectures and messaging platforms such as Kafka., • You have strong understanding of RESTful APIs, microservices, and distributed system design., • You have knowledge of SQL and NoSQL databases., • You are experienced in CI/CD pipelines, automated testing, and modern deployment practices., • You are a skilled mentor with the ability to influence technical direction across teams., • You have strong problem-solving skills, balancing technical, product, and delivery considerations., • You are comfortable in agile environments using Git-based SCM and tools like Jira or Redmine., • You are aware of compliance frameworks such as ISO27001 and PCI. 🙌What’s in it for you? 🌴Annual Leave – 23 days holiday, plus all bank holidays, increasing by 1 day per year of service, after 3 years (up to 29 days), Birthday Day-Off, Extra day-off over Christmas, Annual volunteer day. 💰Recognition & Rewards - Annual Performance Bonus and Profit Share Scheme, Tech Loan, Length of Service rewards – 5 & 10 year clubs! 📍Hybrid Working (2-4 days per month office-based minimum) either in our London or Newcastle office; 💸Group Income Protection ❤️Life Insurance 💰Salary Sacrifice Pension, with 5% employer contribution match 🏃🏽Health & Wellbeing - Employee Assistance Programme, 24/7 Smart Health GP Access, Cycle to Work scheme, Bi-Annual Health Check 🌎 Digital Nomad policy – allowing you to work from anywhere for 4 weeks per year. 📚 Growth and Development – Relevant individual training budget and the opportunity to grow within a dynamic and supportive team. 👌Generous refer a friend scheme. ➕ Plus lots more! ___ About us We have an open, supportive, dynamic culture where talented people are trusted to contribute to the team and company by carrying out their roles in a professional, collaborative, and skilled manner. We value the expertise of our team members and offer opportunities for personal development and career progression within the company. 👉If this is the opportunity you have been waiting for, to work in a fast-paced company with innovative products and cutting-edge technology, please apply now. 📢The candidates must be eligible to work in the UK as no visa sponsorship can be provided.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job - Foundation Models for Retail We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: • Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems., • Innovate upon state-of-the-art ML research applied to consumer personalisation., • Month 1: Implement and evaluate current SOTA models, benchmark against existing internal models, and identify performance bottlenecks in existing implementations for optimisation., • Month 3: Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows., • 3-5+ years implementing applied machine learning research in a production setting, • MSc in Computer Science, Machine Learning, or a closely related field, • Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks), • Proven experience in recommender systems, behavioural AI, and/or reinforcement learning., • Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt)., • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

Senior Software Engineer Location: London (x3 days a week onsite) Salary: Up to £80k DOE Type: Perm Job Description We are looking for a passionate Senior Java Engineer in London to lead the design and development of core product features and services that power an app used by thousands of travellers on a daily basis. As a Senior Java Engineer for an loyalty program team, you will have the opportunity to make a massive impact on traveller's behaviour and booking experience. Specifically, you’ll be responsible for driving improvements to loyalty offerings that enable millions of business & leisure travellers. What You’ll Do: • Designing and implementing APIs and core services, • Developing models and business logic, • Building out impactful product features, • Ensure the quality of the features you built, follow-up on usage/issues post release., • Work closely with product and design team to deliver new features that align with the needs of the business, • Provide technical leadership and mentoring to other engineers on the team, • Contribute and drive frameworks that lead to significant user experience improvements, • Assist the team in understanding and adopting new technologies What We're Looking For: • Strong programming skills and CS fundamentals combined with 5+ years of experience building products, • Deep architecture and API design skills to build core services and new product features, • Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation, • Passion for solving problems and learning new tools and technologies, • Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems, • Ability to thrive in a fast-paced environment, • Prior experience working at startups and/or on consumer-facing products, • Experience with Java, AWS and/or distributed systems is a plus, • Experience with Hibernate or similar ORM technologies is a plus, • Experience with Spring Framework is a plus

Senior Backend Engineer Salary: Up to £90,000 + Bonus and Benefits Hybrid: 2 days a week onsite (London) Permanent, Full Time We are partnered with an innovative start-up transforming the way people see and experience the world's best locations and experiences, financially facilitating people to explore the world with incredible savings. They are currently looking for a Senior Backend Engineer to join an existing team of circa 5 passionate and like-minded Engineers. As Senior Backend Engineer you will play a pivotal role in driving innovation, as well as working on their innovative product utilising a JVM stack ensuring quality across their code base. What we expect from the Senior Backend Engineer: • Proven experience across backend engineering utilising JVM technologies, • Proven hands-on experience in system design and architecture, • Focus on producing clean code whilst promoting excellent coding practices throughout the team Tech stack: • Java 11-17, Springboot, • PostgreSQL / Kafka, • AWS / Kubernetes / Terraform, • Typescript / React Benefits: • 10% bonus, • Life assurance, • 25 days annual leave (option to buy 5 extra), • Flexible/hybrid working, • Work from anywhere up to 4 weeks a year, • Personal learning budget This is an incredible opportunity for a driven Senior Backend Engineer to join an innovative start-up organisation and collaborate with expert teams in the travel space. Senior Backend Engineer Salary: Up to £95,000 + Bonus and Benefits Hybrid: 2 days a week onsite (London) Permanent, Full Time

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Junior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to build and improve our web and mobile products. You will play a pivotal role in high-impact projects across our entire stack, from crafting polished user interfaces in Next.js and React Native to building robust backend services in Python. This is a high-impact opportunity for someone eager to learn fast, take ownership, solve real problems, and help power the next generation of educational technology. Role Responsibilities • Build and maintain features across our web app (Next.js) and mobile app (React Native), • Contribute to our Python backend and help improve API performance, • Collaborate on database design and write efficient queries in Postgres, • Work with AWS services to deploy and maintain our infrastructure, • Ship polished, user-facing features that directly impact student learning, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • Recent graduate or up to 1 year of professional experience, • Familiarity with JavaScript and Next.js (React or React Native experience is a plus), • Basic knowledge of Python, • Understanding of SQL and relational databases, • Eagerness to learn cloud services (AWS experience is a plus but not required) Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

My client is a London-based fintech building secure mobile products that help people manage and protect their money in challenging economic environments. Their mission is to make modern financial tools accessible, trustworthy, and resilient—especially for customers who are underserved by traditional banking. This is a full-time, onsite role in London (Shoreditch). As a React Native Mobile Engineer, you’ll lead the development of key mobile experiences end-to-end—from crafting high-quality, performant interfaces to integrating with backend APIs that power critical financial functionality. You’ll collaborate closely with product, design, and engineering leadership to ship features that users rely on for sensitive, high-trust financial workflows. Who You Are • Strong React Native engineer: You build polished, reliable mobile experiences and care about performance and UX details., • TypeScript-first: Confident shipping production apps using TypeScript and modern React patterns., • API & data fluent: Comfortable integrating with backend services and designing/consuming clean, efficient APIs., • Quality-driven: Experience with testing strategies for mobile (unit/integration/e2e), and a pragmatic approach to release stability., • Security-conscious: You understand secure coding, privacy principles, and the expectations of regulated or high-trust environments (fintech a plus)., • Product-minded collaborator: You work well across disciplines and optimize for customer outcomes, not just code., • Curious and empathetic: Motivated by building technology that improves real people’s financial lives. Nice to have • Exposure to Node.js/NestJS services (or similar), authentication flows, and fintech integrations., • Familiarity with Postgres, event-driven systems (e.g., Kafka), and cloud infrastructure (e.g., AWS, Docker, CI/CD). How You’ll Make a Difference • Build core mobile features: Deliver secure, scalable React Native functionality used in critical financial journeys., • Create exceptional app experiences: Develop accessible, intuitive, and responsive UI that makes complex money management feel simple and trustworthy., • Integrate with fintech-grade services: Work with authentication, account management, and compliance-related workflows through robust API integrations., • Collaborate across teams: Partner with design, product, and operations to translate user needs into thoughtful technical solutions., • Raise engineering standards: Improve code quality, reliability, developer experience, and observability for mobile systems., • Balance speed with rigor: Move quickly while maintaining the discipline required for financial products and sensitive data.

Build the engine behind the platform, transforming frontline access. At Cocentric, we’re scaling Connect – our flagship SaaS platform built to simplify workforce access, provisioning, and digital identity. From automated onboarding to secure SSO and real-time data integrations, Connect is helping frontline organisations empower their people at scale. We’re looking for a Software Engineer to help shape and build the next generation of Connect. You’ll work as part of a multidisciplinary team across engineering, product, and architecture – designing services, writing code, and solving meaningful problems that impact thousands of employees. This is a hands-on, delivery-focused role for someone who enjoys building secure, scalable back-end systems and thrives in a high-trust, collaborative environment. WHAT YOU WILL DO • Develop and maintain back-end services, APIs, and integrations for the Connect platform, • Write clean, efficient, and testable C# code that performs at scale, • Contribute to the design and evolution of Connect’s architecture, working closely with architects and senior engineers, • Collaborate with front-end developers, QA, and product teams to deliver end-to-end features, • Build with performance, security, and maintainability in mind – always, • Write and maintain automated unit and integration tests within our CI/CD pipeline, • Contribute to technical planning, estimation, and documentation, • Continuously improve our development processes and engineering standards WHAT YOU’LL BRING • Strong experience in C# and the .NET ecosystem, • Experience building scalable, secure applications in Azure (Service Fabric, Cosmos DB, Azure Functions, etc.), • Solid understanding of modern back-end architecture – including microservices, APIs, and messaging patterns, • Familiarity with CI/CD pipelines, automated testing, and DevOps practices, • Experience troubleshooting production issues and delivering resilient solutions, • A collaborative mindset and great communication skills – able to work well across disciplines, • Bonus: experience with identity systems (e.g. Microsoft Entra ID / Azure AD), SSO, or HRIS integration OUR TECH STACK • Frontend: React, JavaScript, • Backend: C#, .Net, Azure Service Fabric, Kubernetes, • Infrastructure: Azure, Service Fabric, Cosmos DB WHY COCENTRIC • Be a key part of a product that’s transforming how the frontline workforce connects, • Help shape the technical foundation of a platform built for scale and impact, • Work alongside a talented, fast-growing team backed by investment and momentum, • Hybrid working model with a base in our London office and flexibility to work from home, • 29 days annual leave, including a day off for your birthday, plus bank holidays., • Our office closes over Christmas, • Generous private medical care and additional perks with Vitality, • Cocentric recognise that your family is important and being able to spend quality time with your family as it grows is a wonderful experience. This is why we offer enhanced Maternity, Paternity, Adoption and Parental leave.

Typescript Full Stack Engineer – Consultant Salary: £45,000–£55,721 base plus benefits, perks, and healthcare options! Base Locations: London, Manchester, Newcastle or Glasgow (Hybrid working - operate out of any base!) Organisation: Global IT Consultancy Are you a Full Stack Engineer with deep expertise in Typescript and modern JavaScript frameworks? Join a fast-paced digital engineering community delivering innovative solutions across a wide range of transformation programmes. You’ll work with the latest technologies, collaborate in multi-disciplinary teams, and help shape high-impact digital products used across the UK What You’ll Do • Build high-quality microservices using NodeJS, • Develop responsive, modern front-end applications using React, Typescript, JavaScript, • Work with NextJS and Vite to build fast, scalable front-end solutions, • Deliver cloud-native applications using AWS or Azure, • Contribute to robust CI/CD pipelines (GitLab, GitHub, Jenkins), • Use containerisation tools such as Docker and Docker Compose, • Collaborate closely in agile teams across engineering, design and product, • Apply best practice in security, quality and maintainability What We’re Looking For.... Required • Strong experience building microservices with NodeJS, • Front-end engineering experience using React + Typescript/JavaScript, • Experience with NextJS and Vite, • Cloud experience (AWS or Azure), • Knowledge of Git and Git-based version control tools, • Experience with CI/CD (GitLab, GitHub, Jenkins), • Experience with Docker / Docker Compose, • Strong background working in agile delivery teams Desirable • Terraform or other Infrastructure-as-Code tools, • NoSQL databases (especially MongoDB) or SQL (e.g., Postgres), • Understanding of web standards, accessibility and development best practice Bonus Skills • Building microservices in C# or Java, • Integrating LLMs (e.g., LangChain, Vercel AI), • Using the GOV.UK Design System and Nunjucks What You’ll Love You’ll join a community that values technical excellence, continuous learning and collaboration. Expect: • Exposure to high-profile digital transformation programmes, • Access to extensive training and certifications across cloud, DevOps, engineering, cybersecurity and agile, • A dedicated international learning campus for immersive training experiences, • Monthly team events, digital showcases, breakfasts and away days, • Hybrid working and flexibility to support your work–life balance, • Strong wellbeing support, including wellbeing apps and trained mental health champions Ready to shape the next generation of digital excellence? If you’re a talented full stack engineer who wants to build innovative products, grow your skills and make a real impact, we’d love to hear from you. Apply today!

Senior Software Engineer Location: London (x3 days a week onsite) Salary: Up to £80k DOE Type: Perm Job Description We are looking for a passionate Senior Java Engineer in London to lead the design and development of core product features and services that power an app used by thousands of travellers on a daily basis. As a Senior Java Engineer for an loyalty program team, you will have the opportunity to make a massive impact on traveller's behaviour and booking experience. Specifically, you’ll be responsible for driving improvements to loyalty offerings that enable millions of business & leisure travellers. What You’ll Do: • Designing and implementing APIs and core services, • Developing models and business logic, • Building out impactful product features, • Ensure the quality of the features you built, follow-up on usage/issues post release., • Work closely with product and design team to deliver new features that align with the needs of the business, • Provide technical leadership and mentoring to other engineers on the team, • Contribute and drive frameworks that lead to significant user experience improvements, • Assist the team in understanding and adopting new technologies What We're Looking For: • Strong programming skills and CS fundamentals combined with 5+ years of experience building products, • Deep architecture and API design skills to build core services and new product features, • Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation, • Passion for solving problems and learning new tools and technologies, • Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems, • Ability to thrive in a fast-paced environment, • Prior experience working at startups and/or on consumer-facing products, • Experience with Java, AWS and/or distributed systems is a plus, • Experience with Hibernate or similar ORM technologies is a plus, • Experience with Spring Framework is a plus

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are looking for a Robotics Test Automation Engineer to ensure that our robots move, think, and interact with the world safely and reliably. You will own the quality gate for our software releases and lead the validation of new hardware revisions.This is not a standard web-QA role; you will be working directly with Hardware-in-the-Loop (HIL) systems and whole robots, designing automated test benches, and testing regression in complex electromechanical systems. You will play a critical role in decoupling software development from hardware dependencies. What You’ll Do • Software Release Testing, • Release Validation: orchestrate the end-to-end testing pipeline for new software versions, ensuring every release meets safety and performance standards before deploying to the fleet., • CI/CD Integration: Integrate automated tests into our CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to catch regressions immediately after code merges., • Simulation vs. Reality: Expand testing coverage in our simulation environments (e.g., Gazebo, Webots, Isaac Sim) to parallelize software testing before physical validation., • Hardware-in-the-Loop (HIL) & Hardware Revisions, • HIL Framework Design: Build and maintain HIL test benches that simulate real-world inputs (sensor data, motor feedback) to validate control logic on actual target hardware., • New Hardware Bring-up: Collaborate with Electrical and Mechanical Engineering teams to validate new hardware revisions (PCBs, sensors, actuators). You will write the test suites that verify if the new hardware plays nicely with the existing software stack., • Latency & Performance: Measure real-time performance, ensuring that software changes do not introduce dangerous latency in control loops., • Tooling & Infrastructure, • Develop Python/C++/Shell scripts to automate the flashing of firmware and configuration of robot parameters., • Experience: 3+ years in software test automation, with at least 1 year specifically in Robotics, Embedded Systems, or Automotive., • Coding: Strong proficiency in Python (for scripting/testing) and familiarity with C++ (reading production code)., • Robotics Middleware: Hands-on experience with ROS2. You understand nodes, topics, services, and actions., • HIL Experience: Experience building or maintaining Hardware-in-the-Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN)., • OS: Deep comfort with Linux (Ubuntu) environments., • Nice-to-Have:, • Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim)., • Knowledge of containerization (Docker) for consistent test environments., • Basic electrical debugging skills (using a multimeter/oscilloscope to verify hardware triggers)., • Experience with safety-critical standards (IEC 61508, ISO 26262)., • Languages: Python, C++, Bash scripts, • Robotics: ROS / ROS2, • CI/CD: [e.g., Jenkins, GitLab, GitHub Actions], • Hardware Interfaces: CAN bus, Serial, EtherCAT, • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences. Role: We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: • Architect and drive the development of complex Android features, including robust real-time communication and bi-directional data flows., • Design offline-first architectures, implementing sophisticated prefetching, caching, and background sync engines., • Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment., • Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface., • Define and evolve the mobile codebase using modern architectural patterns (MVI/MVVM, Clean Architecture) to ensure scalability., • Mentor and collaborate, working closely with product and design to turn complex technical capabilities into polished user interactions. Essential Qualifications: • Experience with real-time protocols and data-heavy applications (e.g. WebSockets, gRPC, MQTT, SSE)., • Expert-level understanding of Android internals: concurrency, memory management, and the full lifecycle constraints., • Proven track record of building resilient, offline-capable systems (familiarity with sync queues, local databases, and reactive flows)., • Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly., • Comfort working in fast-paced, product-driven environments where you are expected to make high-level technical decisions., • Curiosity about behavioural data and context-aware design. What Sets You Apart: • Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app., • Experience with hardware integration (Bluetooth, Sensor APIs, or USB-C peripherals)., • Background in early-stage product design or MVP development.

AI Tooling / Solutions Engineer Graduate / Early Career Hybrid - London Up to £50k We’re building something special, and we want the right people at the center of it. Our platform is used by tier-one banks, hedge funds, and trading firms to identify latency bottlenecks and performance issues in high-performance electronic trading environments. Rather than throwing money or hardware at problems, our technology pinpoints the real root causes, using insight that only comes from deep experience in trading system performance engineering and first-hand knowledge from ex-technical traders. We’re now entering an exciting growth phase. Alongside our existing offering, we’re developing a Cloud/SaaS platform and scaling globally, supported by industry leaders who have already validated the product as a category leader from a technical perspective. The Role We’re looking for an AI Tooling / Solutions Engineer to help us rapidly and safely leverage modern AI technologies to improve internal workflows, usability, and scalability. This role is not about embedding AI directly into our client-facing product. Instead, you’ll focus on using existing AI tools, models, and frameworks to design and build supporting tooling that sits around the product, enabling internal teams (and, over time, partners) to operate it more effectively. This is a newly created, high-impact role driven by a strategic shift. AI is now central to how we maintain our technical lead, accelerate development, and scale without compromising IP, data security, or client trust. The position would suit a highly capable graduate or early-career engineer who enjoys applied problem-solving, experimentation, and building practical tools that deliver real impact. What You’ll Be Doing • Researching and evaluating modern AI tools, models, and frameworks (e.g. LLMs, AI-assisted development tools, orchestration frameworks), • Identifying where AI can safely and effectively reduce complexity or manual effort, • Designing and building internal tools such as:, • Lightweight GUIs for operational tasks, • Workflow automations for engineering and support teams, • Data enrichment or metadata tooling, • Prototyping quickly, validating with users, and iterating towards production-ready solutions, • Advising on model selection, cost vs performance trade-offs, and deployment considerations (cloud vs on-prem), • Acting as an internal point of reference for “what’s possible now” in applied AI, with a pragmatic, non-hype-driven mindset, • Documenting tools, decisions, and lightweight roadmaps What This Role Is — and Isn’t This role is: • About using AI to build tools, not building AI products, • Focused on wrappers, interfaces, workflows, and developer tooling, • Experimental, exploratory, and delivery-oriented, • Hands-on: researching, prototyping, implementing, and shipping This role is not: • About embedding AI into a core, client-facing product, • A long-term blue-sky AI research role, • A traditional DevOps, network, or domain-specific finance role, • About building fully autonomous or agentic AI platforms What We’re Looking For Background • Strong academic background, ideally a Master’s or PhD in AI, Computer Science, Software Engineering, or a related field, • Exceptional graduates with equivalent capability and hands-on experience will also be considered Technical Skills • Solid software engineering fundamentals (e.g. Python, modern scripting languages, APIs, basic UI development), • Hands-on experience using AI tools for development or problem-solving (e.g. LLMs, prompt engineering, model comparison, AI-assisted coding), • Understanding of AI limitations and trade-offs (accuracy, cost, latency, hallucinations, data handling), • Comfortable working with cloud-based tools, with awareness of data governance and deployment constraints Mindset • Highly curious, self-directed, and motivated to learn quickly, • Practical and delivery-focused rather than purely theoretical, • Comfortable operating with ambiguity and minimal hand-holding, • Excited by working in a small, fast-moving, non-corporate environment Experience in financial services / capital markets beneficial but not essential What Success Looks Like (First 6 Months) • Delivery of 2–3 internal tools that measurably reduce operational friction, • Clear recommendations on how and when AI tools should be used internally, • Demonstrated ability to independently research, propose, and execute solutions, • Strong working relationships with senior engineers and technical leadership Salary & Benefits • £40,000–£50,000 base salary (open to discussion for the right candidate,), • Flexible hybrid work set-up, • Accelerated learning and meaningful ownership from day one This is a rare opportunity to help shape how a highly specialised technology company adopts AI from the ground up. You’ll work on real, high-impact engineering problems, with direct influence over the tools, workflows, and technical direction of the business. With hands-on ownership and close exposure to senior engineers, the learning curve is far steeper than in a traditional graduate programme, offering accelerated growth and meaningful responsibility from day one.

Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript I am currently working with one of the fastest-scaling platforms in the creator economy which is a creator-first, AI-powered product that enables creators around the world to directly monetise their audiences. Every system you build will operate at serious global scale. 🎯 The Role As a Senior Software Engineer, this is a hands-on, high-impact role for an engineer who thrives on complexity, scale, and ownership. As the different platforms grow, this role offers a clear path to progress as a Principal IC or Engineering Leader, scaling both the systems and your own influence. What you will do... • Architect scalable systems, • Own features end to end, • Build critical tooling, • Scale third-party integrations, • Raise the bar for developer experience, • Continuously improve code quality, testing, observability, and maintainability across different systems., • Collaborate cross-functionally, • Work closely with product, design, compliance, legal, and operations to balance user experience, regulation, and business priorities., • Move fast, without breaking trust, • Deliver high-quality systems at the pace of a rapidly scaling global platform. Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript Who you are... • Strong technical foundation, • Deep experience with TypeScript, React, Node.js, and SQL/Postgres., • Systems thinker, • Comfortable designing complex, interdependent systems with financial, regulatory, and UX constraints., • Hands-on senior engineer, • You love writing code and solving hard problems — from low-latency checkout flows to resilient retry, fallback, and routing logic., • Clear communicator & collaborator, • Able to explain trade-offs, manage stakeholders, and work transparently across teams., • High standards, high velocity, • You move quickly without compromising on security, reliability, or quality., • Ownership & passion, • You take projects end-to-end and genuinely care about building world-class systems. Why Join? • Work on systems that directly impact trust, conversion, and revenue, • Competitive salary, equity, and benefits, • Hybrid or remote flexibility with flexible working hours, • Unlimited holiday, growth & wellbeing budget, • Join a high-calibre, mission-driven team that values ownership, transparency and speed Remuneration & Benefits -> Up to £110,000 + meaningful equity + benefits -> Unlimited holiday -> UK Remote (Office in Canary Wharf if you want to go in) -> Work closely with a brilliant, mission-led team If you want to hear more about the Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

About Euphoric Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The Role We are looking for a Lead AI Engineer to drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback., • Be a "Full Stack" Partner: While the backend/data is your home, you are willing to jump into the frontend (React/TS) to implement features (AI or not) or debug an integration. You understand that an algorithm isn’t "done" until the user interacts with it successfully., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategic Advising: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimization. Skills & Experience • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model., • Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing) and how to evaluate them (cross-validation, precision/recall, business metrics)., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What We Look For We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What You’ll Get • Base salary c£140k, • Remote-first setup with optional shared work space passes and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays., • Career rocket fuel - real growth, real ownership, real impact

Automation Test Engineer London (Oxford Street) | Hybrid – 2 days onsite per week £45,000 PA Playwright with JavaScript or TypeScript We are looking for an experienced Automation Test Engineer to join a growing digital team working on complex, customer facing platforms. This role is ideal for someone who enjoys building automation capability from the ground up and influencing best practice across engineering teams. The role You will be responsible for designing, building and maintaining robust automation frameworks, working closely with developers, QA and product teams to ensure high quality, scalable solutions. Key responsibilities • Design and build automation frameworks from scratch using Playwright with JavaScript or TypeScript, • Create scalable, maintainable and reliable automated test solutions, • Define and champion automation best practices across the team, • Collaborate with engineers to embed quality throughout the development lifecycle, • Contribute to continuous improvement of testing processes and tooling Key skills and experience • Strong automation experience using Playwright with JavaScript or TypeScript, • Hands on experience building automation frameworks from the ground up, • Solid understanding of scalable test architecture and maintainable test design, • Experience with API automation is beneficial, • Mobile automation experience using Appium is a plus, • Hybris testing experience is helpful but not essential Location and working pattern Automation Test Engineer London (Oxford Street) | Hybrid – 2 days onsite per week £45,000 PA Playwright with JavaScript or TypeScript

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!