Application support 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.

Flood Risk & Drainage Engineer Location: Richmond, London Type: Full-time, Permanent Working Model: Hybrid (flexible working supported) Experience Level: 2-4 years A leading Civil & Environmental Engineering Consultancy is seeking a Flood Risk & Drainage Engineer to join their team in Richmond, London. With a strong reputation for sustainable design and public sector work-including with Transport for London and local authorities-you'll be supported to develop your technical skills and grow your career in a collaborative, inclusive environment. Your Role You'll support the delivery of drainage and flood risk projects from early-stage feasibility to detailed design. Responsibilities include: • Designing SuDS and drainage systems using MicroDrainage / InfoDrainage or Causeway Flow, • Assisting with Flood Risk Assessments and planning submissions, • Producing technical drawings with AutoCAD, • Liaising with internal teams, clients, and local authorities, • Supporting junior colleagues and learning from senior engineers What You'll Bring • 2-4 years' UK consultancy experience, • Understanding of SuDS, drainage policy, and planning, • Experience with AutoCAD and drainage design software, • Strong written and verbal communication skills, • A degree in Civil or Environmental Engineering (or similar) Desirable: Knowledge of CDM Regs, foul drainage, GIS, Civil 3D, or local authority experience. Benefits • Discretionary 10% bonus, • Hybrid working and 37.5-hour weeks, • 25 days holiday (+ up to 10 unpaid days), • Private healthcare and matched 4% pension, • Paid professional memberships, • Cycle-to-work scheme & travel loan, • Ongoing training and career progression, • Friendly, mission-driven team culture Submit your CV or contact Will Herman for an informal discussion: 07581619823 Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

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.

We’re seeking a skilled Linux Infrastructure Engineer to join our client's core infrastructure team working closely with engineering and support teams to deliver secure, high-performance systems. Senior Linux Infrastructure Engineer - Full Time - London Based. Partner with application and support

My client, an elite systematic trading firm, is looking for an Application Support Engineer to join a high-impact, London-based team at the cutting edge of global markets.

Principal or Associate Electrical Engineer Data Centres and Mission Critical London About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to inclusivity and flexibility as we are to sustainability and high performance. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, our thriving community groups (ethnicity, families, gender, LGBTQ+, and neurodiversity), our varied social and networking events, and our extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We have an exciting opportunity for a Principal or Associate Electrical Engineer to join our Data Centre and Mission Critical team. It's an exciting time to join the industry. Data centres are increasingly important to the economy, with the technology that drives them changing at a blisteringly fast rate, and our Mission Critical team assists clients in navigating the evolving requirements of this sector. Our experience covers everything in the Data Centre & Mission Critical sector – from complex live plant upgrades, close control, data halls, financial-sector trading floor environments, critical engineering, and due diligence reviews of existing facilities, you will get to work on projects across the UK, Ireland and Europe. Working collaboratively with our specialist groups, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do. Our teams have a wealth of experience and offer a positive, supportive and flexible culture. Working alongside the Project Leader, you will be facing clients, responding to our clients’ needs, developing designs and producing reports, specifications and guidance or overseeing testing and commissioning activities. We work closely as a team to ensure we achieve the best results and deliver a consistent, high-quality service for our clients. In this key and varied role, you can expect to: • Be responsible for the day-to-day technical delivery of the electrical design services for data centre and mission-critical projects., • Lead the development of initial strategic concepts for projects ensuring solutions are appropriate for the brief and regulatory standards., • Interact regularly with internal and external stakeholders, ensuring a communicative, collaborative and timely approach to delivery. You will be in a client-facing role, attending project meetings and disseminating the brief to the project team., • Work with the team leader to help monitor fee expenditure, resources and work delivered., • Mentor and support our ‘next gen’ professionals, including apprentices and graduates. About you To be successful in this role, you’ll need: • Proven experience working as an Electrical Engineer or closely related role, with a track record delivering on Mission Critical and Data Centre projects., • Experience with modern technical delivery processes and use of relevant software/tools such as Revit, BIM, Electrical OM, Dialux and Relux., • Demonstrable experience working with clients/contractors/architects in a design-oriented / consultant role., • Self-awareness, an open mind, and a spirit of generosity, • Experience in supporting others to develop knowledge, skills, and confidence. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, ___ Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

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!

I am partnering with an early-stage UK tech startup focused on using data and AI to optimise and accelerate the design of clinical trails. Senior Back-End Engineer – Founding Team (London, Full-Time) Role: Senior Back-End Engineer – Founding Team Location: London, UK (on-site/hybrid) Type: Full-time, Senior Level About the Role: We’re seeking a highly experienced Senior Back-End Engineer to join a fast-growing, deep-tech venture at an early stage. As a key member of the founding engineering team, you will shape and build the core server-side architecture that underpins our next-generation platform. You’ll work closely with product and engineering leadership to design, implement, and scale reliable backend services, APIs, and systems — helping to turn cutting-edge ideas into real-world products. What You’ll Do • Lead the design, development, and maintenance of scalable, secure, and high-performance backend services and APIs., • Collaborate across the engineering team — including frontend, product, and QA — to architect solutions that address business needs and technical challenges., • Drive the full development lifecycle: requirements, design, implementation, testing, deployment, and support., • Improve and optimise existing systems for performance, reliability, and maintainability., • Conduct code reviews, provide technical leadership, and mentor junior engineers to uphold best practices., • Identify and address security, performance, and scaling bottlenecks. What We’re Looking For • 4+ years of hands-on experience building backend systems in a production environment., • Strong experience with backend languages and frameworks (e.g., Java, Spring, Python, Go, Node.js — adaptable to your stack)., • Proven track record designing and implementing RESTful APIs and microservices., • Solid understanding of databases (SQL and NoSQL) and effective data modeling., • Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines., • Experience with performance optimisation, security best practices, and scalable architectures., • Excellent communication skills and ability to work effectively in an agile, cross-functional team. Nice-to-Have • Experience with distributed systems and asynchronous architectures., • Knowledge of observability tools, testing frameworks, and containerisation (Docker, Kubernetes)., • Previous involvement in early-stage or founding engineering teams. Why Join? • Play a pivotal role in shaping a product from the ground up, • Influence technical direction and engineering culture, • Work in a collaborative, fast-paced environment where your impact is visible, • Competitive compensation and growth opportunities Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment. Please click ‘apply’ or contact Jay Robins for any further information. Email:

Job Description: Lead Electrical Design Engineer / Technical Design Manager (EV Infrastructure) Company: Neertec UK Location: Hybrid/Flexible Reports to: Head of Operations Contract: Permanent, Full-time About Us Neertec is an ambitious, rapidly scaling force in the UK's EV infrastructure market. As part of an established global leader in the energy and mobility transition, we combine international expertise with agile, local delivery. We are focused on deploying robust, high-power charging solutions for business, fleet, and heavy transport, building the critical infrastructure that will decarbonise road transport across the UK. The Opportunity This is a foundational and highly visible role critical to our UK growth. We need a pragmatic, hands-on engineer who can both design complex systems and act as a key technical partner to our sales team. You will be our technical design authority, shaping the department, building our technical credibility, and leading the charge on our NERS accreditation journey. This is a unique chance to build something from the ground up in a fast-paced start-up environment, with a clear path to directorship. Key Responsibilities Technical Design & Delivery (50%) • Serve as the hands-on technical lead for the design of high-power DC EV charging solutions, focusing on destination charging hubs, fleet depot electrification, and HGV charging infrastructure., • Produce and approve all key design deliverables: SLDs, layout drawings, cable calculations, containment designs, and equipment specifications using AutoCAD, Amtech/ProDesign, etc., • Act as the primary technical liaison for Distribution Network Operators (DNOs), Independent DNOs (IDNOs), and Independent Connection Providers (ICPs), leading the G99 application process., • Develop and standardise our design processes and technical specifications from the ground up. Commercial & Sales Support (30%) • Be a key stakeholder for the sales team. Provide crucial technical input during early client consultations, site surveys, and tender responses to ensure solutions are feasible, compliant, and competitive., • Develop preliminary designs, budgetary estimates, and technical narratives to help win new business., • Translate complex technical requirements for commercial colleagues and clients, building trust and credibility from first contact., • Play a central role in our roadmap to achieve NERS (National Electricity Registration Scheme) accreditation in 2026, a key credential for our commercial growth. Team & Capability Building (20%) • Shape our technical department. Initially managing external consultants, you will be responsible for recruiting, building, and leading a team of electrical design engineers as we scale., • Establish and champion our technical standards, quality assurance, and peer-review processes., • Mentor junior staff and provide expert support to project delivery teams. Experience & Qualifications – The Must-Haves • Essential: A strong background in electrical design within the UK, with experience in HV/LV distribution, building services, or energy infrastructure. Proficiency in AutoCAD and Amtech/Trimble ProDesign., • Essential: Demonstrated ability to support commercial teams, contributing to bids, proposals, and client-facing technical discussions., • Highly Desirable: Proven, hands-on experience in managing the full technical relationship with UK DNOs/IDNOs, including submitting and gaining approval for connection applications., • Highly Desirable : Direct experience working with or for an ICP (Independent Connection Provider)., • Highly Desirable: Prior involvement in a NERS accreditation process., • Highly Desirable: Specific design experience with DC fast-charging equipment and high-power industrial installations. Career Progression We are a high-growth start-up within a global group. This role is designed to grow with the UK business: • Immediate Impact: Become the recognised technical authority and key sales enabler., • Near-Term Growth: Build, hire, and formally manage the electrical design team., • Future Leadership: Progress into a Director-level position (e.g., Engineering Director, Technical Director) with P&L and strategic responsibility as the UK business scales. What You Bring • A degree/HND in Electrical Engineering or equivalent., • A pragmatic, hands-on, and resourceful "start-up mindset". You are comfortable with ambiguity, happy to work on everything from high-level strategy to detailed design, and driven to build processes and a team., • Excellent communication skills, with the ability to build credibility with both technical peers and commercial/client stakeholders., • The leadership ambition and interpersonal skills to build, lead, and inspire a future team., • A passion for clean technology and infrastructure. What We Offer • Salary: Competitive package, • Foundational Role: The unique opportunity to shape our technical department and capability from its early stages., • Clear Leadership Path: A direct route to Director-level leadership within the UK entity., • Impact & Credibility: Be the face of our technical expertise, directly influencing sales and building our market reputation., • Global Strength, Start-Up Agility: The stability of an international group with the dynamism of a UK scale-up., • Benefits: Competitive pension, private medical insurance, 30 days holiday, A fully funded EV and significant professional development opportunities. How to Apply If you are a hands-on technical leader who thrives in a start-up environment, enjoys commercial engagement, and is ready to build a department that will underpin our UK success, we want to hear from you. Please send your CV and a cover letter explaining your relevant experience with DNOs/IDNOs and your motivation for joining and shaping a scale-up to . Neertec is an equal opportunities employer.

Senior System Engineer (AI/ML) | Permanent position • Location: Central London, • Onsite: 5 days a week (South Kensington / Waterloo), • Salary: Up to £82,500 + Excellent Benefits, • Available position: 2 positions Our client, an IT consulting and services provider, is seeking an experienced AI/ML Platform Engineer to support a transformative project within the UK education sector. You'll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform for a prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: • Deploy and configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration, • Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements, • Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches, • Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements, • Create comprehensive documentation covering configuration, test integration and maintenance procedures, and troubleshooting guides, • Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases Required Qualifications & Experience: • Strong experience deploying and supporting HPC environments for AI/ML workloads, • Extensive experience in Ubuntu server administration and Kubernetes cluster management experience, • Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable), • Understanding of networking in containerised environments and experience supporting complex computing infrastructures, • Strong documentation and knowledge transfer capabilities To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

I am partnering with an early-stage UK tech startup focused on using data and AI to optimise and accelerate the design of clinical trails. Senior Back-End Engineer – Founding Team (London, Full-Time) Role: Senior Back-End Engineer – Founding Team Location: London, UK (on-site/hybrid) Type: Full-time, Senior Level About the Role I am seeking a highly experienced Senior Back-End Engineer to join a fast-growing, deep-tech venture at an early stage. As a key member of the founding engineering team, you will shape and build the core server-side architecture that underpins their next-generation platform. You’ll work closely with product and engineering leadership to design, implement, and scale reliable backend services, APIs, and systems — helping to turn cutting-edge ideas into real-world products. What You’ll Do • Lead the design, development, and maintenance of scalable, secure, and high-performance backend services and APIs., • Collaborate across the engineering team — including frontend, product, and QA — to architect solutions that address business needs and technical challenges., • Drive the full development lifecycle: requirements, design, implementation, testing, deployment, and support., • Improve and optimise existing systems for performance, reliability, and maintainability., • Conduct code reviews, provide technical leadership, and mentor junior engineers to uphold best practices., • Identify and address security, performance, and scaling bottlenecks. What We’re Looking For • 5+ years of hands-on experience building backend systems in a production environment., • Strong experience with backend languages and frameworks (e.g., Java, Spring, Python, Go, Node.js — adaptable to your stack)., • Proven track record designing and implementing RESTful APIs and microservices., • Solid understanding of databases (SQL and NoSQL) and effective data modeling., • Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines., • Experience with performance optimisation, security best practices, and scalable architectures., • Excellent communication skills and ability to work effectively in an agile, cross-functional team. Nice-to-Have • Experience with distributed systems and asynchronous architectures., • Knowledge of observability tools, testing frameworks, and containerisation (Docker, Kubernetes)., • Previous involvement in early-stage or founding engineering teams. Why Join? • Play a pivotal role in shaping a product from the ground up, • Influence technical direction and engineering culture, • Work in a collaborative, fast-paced environment where your impact is visible, • Competitive compensation and growth opportunities Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment. Please click ‘apply’ or contact Jay Robins for any further information. Email:

AWS Platform Engineer | AWS, Terraform & Kubernetes | High-Impact Cloud Consulting • Salary: £75,000–£100,000, depending on Senior or Principal level, • Location: Hybrid working – minimum 1 day per month in the London office, • Requirement: UK Security Clearance eligibility required, • Permanent, full-time position We’re hiring Senior and Principal AWS Platform Engineers to join a fast-growing cloud and platform engineering consultancy delivering complex, large-scale programmes for enterprise and public sector clients. This is a hands-on consulting role, not a support or BAU position. You’ll design and build modern AWS platforms, work directly with client engineering teams, and rotate across varied projects every few months. Alongside AWS, the wider business is scaling across Azure, data & AI, software engineering, and emerging cloud practices, so you’ll be joining during a genuine growth phase with real opportunity to influence standards and direction. The Role As an AWS Platform Engineer, you will play a key role in delivering cloud foundations that enable organisations to move faster and operate more securely. Depending on level: • Senior: you’ll focus on hands-on delivery, building and evolving AWS platforms and landing zones., • Design and build AWS platform foundations and landing zones., • Automate infrastructure using Infrastructure as Code., • Build and improve CI/CD pipelines for cloud-native delivery., • Work with Kubernetes-based platforms where appropriate., • Enable application teams to adopt DevOps and cloud-native best practices., • Lead and contribute to consulting engagements across discovery, design, build, and handover phases. Non-Negotiables • Strong AWS cloud engineering experience in production environments., • Terraform infrastructure as code (essential)., • Proven CI/CD and automation mindset., • Solid understanding of cloud networking, security, and scalable AWS design., • Comfortable working in client-facing consulting roles., • Eligibility for UK Security Clearance. What You’ll Work With • AWS platform engineering and landing zones., • Terraform infrastructure as code., • CI/CD pipelines (GitHub Actions or similar)., • Kubernetes platforms (EKS exposure preferred)., • Cloud-native security, networking, and identity patterns. Nice to Haves • Background in cloud or DevOps consultancies., • Kubernetes experience beyond the basics., • Experience rotating across multiple client environments., • Enjoyment of mentoring others and raising engineering standards., • Exposure to public sector or regulated environments. Why Join / Projects • Deliver high-impact AWS platforms for enterprise and public sector clients., • Join during a major growth phase with multiple platform, data, and software hires underway., • Projects typically run 3–12 months, keeping work varied and technically challenging., • High engineering standards paired with a collaborative, people-first culture., • Strong emphasis on learning through delivery, workshops, and shared problem-solving. Employee Benefits • Performance-related bonus., • Share options with long-term upside., • £1,000 annual learning and development budget., • Funded cloud certifications., • Hybrid working, with a minimum of one day per month in the London office., • Paid client travel. AWS Platform Engineer | AWS, Terraform & Kubernetes | High-Impact Cloud Consulting

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities • Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML), • Build infrastructure to monitor model performance, data drift, and other key metrics in production, • Develop and maintain tools for model versioning, reproducibility, and experiment tracking, • Optimize model serving infrastructure for latency, scalability, and cost, • Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring, • Collaborate with data scientists to ensure models are production-ready, • Implement security, compliance, and governance practices for ML systems, • Support troubleshooting and incident response for deployed ML systems Required Skills and Experience • Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch, • Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer, • Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI), • Experience with CI/CD pipelines and automation tools such as GitHub Actions, • Understanding of monitoring and logging tools (e.g., NewRelic, Grafana) Desirable Skills and Experience • Prior experience deploying ML models in production environments, • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation, • Familiarity with model interpretability and responsible AI practices, • Experience with feature stores and model registries

PLEASE NOTE THAT THIS IS A UK-BASED POST. ONLY UK-BASED APPLICANTS WILL BE CONSIDERED. THE POSITION IS NOT OPEN FOR APPLICANTS FROM OUTSIDE THE UK. Civil/Structural Engineer Job Description Beta Design Consultants is a firm of consulting engineers developing bespoke engineering solutions to clients in the construction industry. Established in West London in June 2009, we have been providing innovative solutions to local, national and international projects. We are a member of the UK Association for Consultancy and Engineering, an ISO9001/ISO14001 UKAS Accredited firm who holds Gold Membership in Construction Line. We believe in delivering low-zero carbon solutions and are one of the first signatories to the Engineers Declaration of Climate and Biodiversity Emergency. We are looking for a Civil/Structural Engineer to join our office in South West London, Kingston. We are looking for an ambitious team-player with at least five years experience. The position would suit a highly technical engineer, with at least a Master's degree, confident in concept design and in pushing boundaries of design. The following technical skills and abilities would be treated as suitable for our workload: • Ability to design steel and concrete structures and push the design to the limit., • Ability to consider details in connections and optimize connections for fabrication and assembly., • Ability to consider rebar detailing in RC structures., • Ability to adapt skills to work on complex structures such as large span, tower structures, rehabilitation., • Experience in retrofit and strengthening., • Seismic design and the use of EC8, ASCE or IBC., • Bridge inspections and experience in proposing bridge repair solutions., • Building inspections and experience in detailing repair solutions., • Structural investigation and NDT testing., • Familiarity with SCIA/IdeaStatica., • Temporary works design. We are one of the first signatories to the Engineers Declare movement and as such have a passion for delivering very cost-efficient solutions that push the boundaries of what is possible. We provide the following services: • Design and Value Engineering of Structures for Logistics, Data Centres, Industrial Facilities and Energy projects. This may include dynamic analysis and seismic analysis, • Structural investigations and assessments that include intrusive and NDT testing of foundations, buildings and bridges., • Slope stability analysis, retaining walls design, soil-structure interaction studies and design of various types of foundations and ground solutions., • Design of RC Framed Buildings to the Eurocode., • Repair design of RC Framed Buildings. We provide bespoke repair solutions for flexural and shear strengthening, columns strengthening, frames strengthening and modification., • Bridge inspections and principal inspections, followed by repair proposals and strengthening design., • Design of Steel Structures (single storey and multi-storey) to Eurocodes and AISC including application of seismic loads, non-linear behaviour and local/global failure modes., • Design and detailing of Steel Structures., • Modification and strengthening of steel structures including plating, connections strengthening, restoring or adding bracing, reducing loading and repurposing buildings., • Bespoke foundations solutions including rafts, piled rafts, retaining walls, embedded piles, basements. Experience in geotechnical design is a plus., • Temporary works design including propping and shoring of deep excavations. Experience in similar schemes is a plus. As a result of our growth, we are looking for a civil structural engineer to join our team. You will be expected to work on design projects involving concrete and steel mainly. You will also be required to work on site investigation and evaluate design proposals. You will be provided with support to meet the project commitments. You would be expected to start to work autonomously after completing few supervised tasks. Depending on attitude and aspiration, you will be encouraged to participate in business and company development as we are constantly improving our processes. Job Summary • Analysis and design of structural components and systems for various construction projects, including but not limited to residential, commercial, and industrial buildings., • Understanding and preparation of detailed design reports., • Design of roads and strong understanding of the construction regulations, codes and standards., • Conducting site visits and inspections to monitor construction progress, assess structural conditions, resolve any technical issues that may arise., • Conducting building surveys and investigations and preparing investigation reports., • Conducting bridge inspections and preparing inspection reports., • Performing calculations, simulations and analysis to ensure structural integrity and compliance with safety standards., • Structural assessment of existing buildings., • Design and understanding of drainage systems and their construction methods., • Earthworks, cut and fill and retaining walls design and specifications., • Managing and running structural design projects with autonomy (building repairs, residential developments, civil engineering designs for foundations and retaining walls)., • Liaising with contractors, clients and architects., • Representing the company at design team and contractor/client meetings and business., • Development/networking events as may be required., • Communicating clearly with team members, manager and contractors, architects, clients. Required Attributes • Educated to degree level or equivalent in structural or civil engineering. A UK MEng/MSc is a minimum requirement. A European degree would have to be four years as a minimum., • Minimum five years design experience with exposure to British Standards, European Codes or American Codes., • Good organisational and interpersonal skills, • Good technical writing and presentation skills, • Effective analytical and problem-solving skills, • We have a track record of successful completion of residential, commercial and industrial projects to client's satisfaction., • We specialize in bespoke solutions for steel structures (single storey, multi storey, façade supports, residential refurbishment)., • We have a track record in completing the repair and refurbishment of RC framed buildings. We use traditional strengthening, jacketing, composite repairs (fibre reinforced polymers) or high-performance concrete., • We have a loyal client base who use our steel connections design service and steel detaining service., • Our current design team of 5 people would support the growth of the new team member and offer flexibility and recognition opportunities. Job Type: Full-time, Permanent We provide a safe working environment based on government guidelines. We do not support working from home. We work from a small office in a very professional setting. Job Types: Full-time, Permanent Additional pay: • Bonus scheme, • Performance bonus, • Casual dress, • Company pension, • Flexible schedule, • Gym membership, • 8-hour shift We provide a safe working environment based on government guidelines. We do not support working from home. We work from a small office in a very professional setting. Education: • No

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. The Role Desktop Support Engineer (DSS) . Required Technical Skill Set : Install, Configure, Maintain and troubleshoot end user desktops, Laptops, Peripherals, Printers...etc. Your responsibilities: • Deskside Support will provide incident and request management support to all end user devices. E.g. Desktop, Laptop, Tablet, Thin-client, Mac, Monitor, Mobile device, VPN Token, Printers, Scanner, etc., • Incident handling: including troubleshooting, break fix; follows incident management process., • Service Requests: Installation, Movement, Addition or Change (IMAC) of new or existing end user device hardware/software component., • Software application support for applications both commercial off the shelf and customer developed., • Perform ICMS and PC sign off on every PC deployment and collection, • Assist in end user support or consultations., • Analyze completed end user device requests and incidents to identify and recommend process improvements and identify any process compliance issues., • Receive, diagnose, assess and resolve Deskside Incidents, • IMAC’s - Prepare new and existing equipment for deployment, • Move existing equipment (PC, notebook, Thin Client, network printer etc.…) and update configurations, as necessary., • Change an existing hardware/software component and verify functionality upon completion, • IMAC Update in CMDB, • Install and configure hardware/software as requested in the IMAC record and verify functionality upon completion (software which could not be installed by SCCM) Your Profile Essential skills/knowledge/experience: • Strong English proficiency and inter personal skills., • Provide incident and request management support to all end user devices. E.g. Desktop, Laptop, Tablet, Thin-client, Mac, Monitor, Mobile device, VPN Token, Printers, Scanner, etc, • Experience in Windows & non-Windows Operating environment, • Installation, Movement, Addition or Change (IMAC) of new or existing end user device hardware/software component., • Provide and maintain warranty/maintenance documentation for Assets, to be included in Operations Manual., • Install, organize, test, maintain, check and troubleshoot end user workstations and interrelated hardware and software., • Provide support to end users relating to hardware and software, computer applications, LAN components and peripherals., • Carry out on-site analysis, identification, and resolution of difficult desktop problems for end users., • Supervise complaint ticketing system and follow timely resolution of all work orders., • Able to configure and use Microsoft Enterprise applications (including SCCM and Active Directory)., • Creation/restoration of images and up gradation of patches using SCCM., • Ability to participate in the design, architect and engineering of software deployments/installation process., • Demonstrated ability to provide user support by means of remote access tools., • Ability to communicate effectively with both Business/Management and Vendor resources & acquire knowledge from them., • Knowledge on Asset management., • Preferred Certifications: MCSA (Win 7 Enterprise Desktop Support) & ITIL Foundation / Intermediate. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Company Description Goaco is a global consultancy established in 2010 and headquartered in the UK, specialising in delivering secure, innovative, and user-focused digital solutions. With expertise in digital transformation, cybersecurity, data & AI, software development, and cloud services, Goaco serves clients in both public and private sectors across the UK, UAE, and Saudi Arabia. The company is powered by over 100 in-house professionals and a vast network of 16,000+ associate consultants under the Goaco Group. As trusted UK Government digital experts, Goaco is dedicated to providing scalable and secure solutions that address real-world challenges, driving impactful and sustainable transformation. This role is ideal for an experienced .NET Software Developer who wants to progress into AI Engineering, with full training, mentoring, and certification support provided. ROLE OBJECTIVE The AI Engineer (Training & Certification Provided) will design, build, and integrate AI-enabled capabilities into enterprise-grade software solutions. While prior AI engineering experience is not required, you must have strong .NET development skills and a genuine interest in AI. Goaco will provide structured training and support towards Microsoft Azure AI certifications, including Azure AI Engineer Certified, enabling you to grow into the role while delivering real solutions. KEY RESPONSIBILITIES 1. Software Engineering (.NET Focus) • Design and develop high-quality services using C# and .NET (.NET 6+)., • Build secure, scalable APIs and backend components., • Apply clean code, testing, and modern engineering practices., • Contribute to cloud-native application architectures. 2. AI Engineering (Training Provided) • Learn and apply AI technologies using Microsoft Azure AI services and Azure OpenAI., • Integrate AI capabilities into .NET applications., • Build AI-assisted features such as:, • Intelligent search and knowledge retrieval, • Workflow automation, • Natural language interaction, • Implement prompt handling, embeddings, and AI service orchestration. 3. Data & Integration • Work with structured and semi-structured data sources., • Support data preparation and integration for AI workflows., • Collaborate with data specialists to understand data quality and constraints. 4. Responsible & Secure AI Delivery Deliver AI-enabled solutions aligned with: • Responsible AI principles, • Security and privacy requirements, • Governance and audit expectations, • Support monitoring, evaluation, and continuous improvement of AI features. 5. Collaboration & Professional Development • Work closely with engineers, architects, analysts, and delivery leads., • Participate in technical workshops, code reviews, and design sessions., • Complete supported training and achieve Microsoft AI certifications. KEY DELIVERABLES • Production-ready .NET services enhanced with AI capabilities, • Well-documented APIs and integration components, • Secure and compliant AI-enabled features, • Contributions to reusable engineering patterns and standards SKILLS & EXPERIENCE Essential • Strong commercial experience with C# and .NET (mandatory), • Experience building backend services and APIs, • Solid understanding of software engineering best practices, • Interest in AI and applied machine learning, • Willingness to undertake training and certification Highly Desirable • Microsoft Azure AI Engineer Certification (or willingness to achieve), • Experience using Microsoft Azure, • Familiarity with DevOps and CI/CD pipelines, • Exposure to data-driven or intelligent systems WORKING STYLE • Developer-led, analytical, and outcome-focused, • Curious and motivated to learn AI technologies, • Comfortable working in evolving problem spaces, • Clear communicator across technical and non-technical audiences

Infrastructure Support Engineer – AWS Location: London Comepnsation: £200,000+ A leading global quantitative investment firm is seeking an experienced Infrastructure Support Engineer with strong AWS expertise. This role offers the opportunity to maintain and optimize a secure, scalable cloud infrastructure supporting advanced trading strategies. Responsibilities: • Manage and support AWS environments using core services such as EC2, S3, and VPC., • Troubleshoot and resolve complex infrastructure issues independently., • Automate cloud operations using Terraform, CloudFormation, Python, and Bash., • Monitor performance and costs, implementing optimizations as needed., • Collaborate with development teams to support application deployment and operations., • Assess new cloud technologies to improve infrastructure reliability and security., • Document processes and support knowledge sharing across teams. Requirements: • Proven hands-on experience with AWS services and cloud infrastructure., • Strong troubleshooting skills in complex, distributed environments., • Proficiency with scripting languages and configuration management tools (Ansible, Terraform)., • Experience with container technologies such as Docker, ECS, and Kubernetes., • Knowledge of Windows and Linux system administration., • Familiarity with performance tuning and cost management in the cloud., • Agile development experience and strong communication skills. This position offers the chance to play a key role in maintaining critical infrastructure within a fast-paced, innovative environment. Candidates with a passion for AWS and cloud infrastructure are encouraged to apply.

Niche Central London consultancy requires a Structural Design Engineer to join one of its expanding teams in its city design studio. Candidates will need to be a Graduate member of IStructE (preferred) and/or ICE, have a MEng/MSc in Structural, Civil or Architectural Engineering (2:1 minimum) from a top UK Russell Group university and must have proven design skills in high-profile London consultancy. They should be design-focused and have a past portfolio of working on prestigious projects. Current workload is a diverse mixture of high-profile new-builds and refurbishments with project values up to £75million across London and the South East. Many of the consultancy's previous project shave been award-winning and they continue to work on some of London’s best small-medium-sized projects. Top base salary and extended benefits working in a stylish design studio on challenging projects and good support for Chartership with IStructE and or ICE. We regret that due to the high volume of applications we receive, if you have not heard from us within 7 days, your application has not been successful on this occasion. Walker Dendle Technical Limited acts as an employment business for temporary positions and an employment agency for permanent positions. Walker Dendle Technical is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. By applying to this position, you acknowledge that you have read and accepted the terms available on our website.

Integrated Logistics Support Engineers • Multiple hires at Senior and Principal level within Integrated Logistics Support and Obsolescence, • UK Defence programmes, • South West London with hybrid working (typically three days on site), • Salaries up to £62,000 plus benefits, • Opportunity to build and influence a growing ILS capability from the ground up ABOUT THE CLIENT Our client is a UK Defence organisation delivering complex, safety critical maritime systems that operate in demanding environments. They are investing in the growth of a specialist Integrated Logistics Support and Obsolescence capability that will become embedded across engineering programmes. As part of this growth, they are looking to appoint multiple Integrated Logistics Support Engineers at different levels of seniority to support delivery today and shape future capability. THE BENEFITS • Hybrid and flexible working options, • Performance related bonus, • Autonomous working with opportunity to influence culture, • Clear development and progression opportunities, • Active SC use THE INTEGRATED LOGISTICS SUPPORT ENGINEER ROLE These roles will form part of a small, specialist team embedded into one or more UK Defence projects. Initially, the focus will be on reactive and corrective ILS and obsolescence activities, stabilising delivery and addressing real world support challenges. Over time, the roles will evolve to take on a more strategic focus, influencing engineering decisions, programme behaviours, and the wider approach to supportability across projects. Depending on experience and seniority, you may operate in a hands on delivery role or take a more holistic, cross project view, providing oversight, challenge, and technical leadership. INTEGRATED LOGISTICS SUPPORT ENGINEER ESSENTIAL SKILLS • Experience delivering Integrated Logistics Support or Support Engineering within Defence or a regulated engineering environment, • Understanding of ILS and supportability activities such as FMECA, LORA, life cycle costing, maintenance planning, training, or disposal, • Awareness of systems engineering and engineering lifecycles, • Ability to operate in dynamic, delivery focused environments, • Active UK SC clearance required TO BE CONSIDERED Please either apply through this advert or email me directly via . For further information please call me on 0203 854 0120 or 07889 589 648. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Integrated Logistics Support, ILS Engineer, Senior ILS Engineer, Principal ILS Engineer, Obsolescence Engineering, Defence, Maritime, Systems Engineering, NSD

Full Stack Engineer – New Launch Hedge Fund (L/S Equity) Location: London Type: Full-time (5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Engineer to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • No sponsorship available – candidates must have the right to work in the UK.

Fire – Engineer or Senior Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Fire – Principal or Associate Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety experts, many of whom are Chartered Engineers through the Institution of Fire Engineers. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Leading Investment Bank - Software Developer - Finance Technology We’re hiring a Software Developer to join a Greenfield, next-generation Regulatory Technology platform within a leading global investment bank. This role sits within the Finance Technology – Regulatory Reporting organisation, focused on building and evolving a critical regulatory reporting platform used globally. While the platform is built around Axiom, prior Axiom experience is not required. We’re looking for strong engineers who are keen to learn a new, specialist technology and grow their skillset within a complex, high-impact environment. Full training on Axiom will be provided. You’ll work closely with international engineering teams, contributing to platform development, automation, and infrastructure, while helping drive modern engineering practices across a mission-critical system. What You’ll Do • Build and support a Greenfield, next-generation regulatory reporting platform, • Develop and maintain backend services, tooling, and automation supporting regulatory processing, • Implement platform upgrades, releases, and security patches across global environments, • Coordinate testing cycles with engineering and delivery teams, • Expand CI/CD, test-driven development, and release automation practices, • Contribute to architectural decisions, standardisation, and platform design, • Support a high-availability, business-critical regulatory reporting system Skills & Experience • 2–5 years’ experience as a Software Developer or Engineer, • Strong Python development skills, • Solid Linux / Shell scripting experience, • Database development experience (Sybase or other relational databases), • Understanding of application infrastructure and system architecture, • Experience designing and building web-based applications, • Background working in large-scale, enterprise environments Nice to Have • Interest in regulatory systems, financial platforms, or enterprise technology, • Exposure to CI/CD tooling (e.g. Jenkins) and Agile delivery methodologies, • Strong SQL and ETL knowledge, • Experience with database performance analysis and tuning, • Axiom experience is a plus, but not essential – full training provided This is an excellent opportunity for engineers looking to learn a niche, in-demand technology, work on a next-generation platform, and develop their career within one of the world’s leading investment banks.

World Wide Technology (WWT), a global technology integrator and IT solutions provider. World Wide Technology, established in 1990 in St. Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in various sectors. With over 10,000 employees globally, we generate $20 billion in annual revenue and operate in regions including the US, UK, Canada, Europe, Costa Rica, APAC, and Middle East. We're proud to be consistently recognized as a top employer by Fortune and Glassdoor for 14 years in a row. World Wide Technology is looking for a Network Engineer. This role is part of WWT’s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner. Please help me with the information needed to process your application, and I will contact you to discuss the role. This is a contract Role & Inside IR35 Network Engineer Contract Duration: 6 months contract Location: London, United Kingdom (Hybrid - 2 days onsite per week) About the role: Ideal candidate will handle a mix of design and implementation tasks for multiple office moves and branch network refreshes, including logical and in some cases physical site setup , automation via scripting and pushing configurations from DNA/ catalyst center , device configuration, and user acceptance test execution, with flexibility to work on both physical and non-physical aspects of campus builds. CNP – CCIE with proven experience on enterprise LAN and WAN design and implementation. Responsibilities: • Strong experience in campus Cisco network technologies, Wi-Fi, campus security, and ideally some knowledge of Fortinet firewalls, though internal support for Fortinet is available; familiarity with Cisco Catalyst Centre, automation pipelines, and a willingness to perform a range of tasks from racking equipment to liaising with end users is essential., • Involved in network design, implementation standards, automation, testing procedures, and the use of third-party and internal resources for specialized tasks., • Network Design and Implementation: High-level designs for new sites are in place, with templates under development; engineers will focus on implementation, requirements gathering, and delivery, with most sites being straightforward (e.g., two switches, a few access points), and more complex fabrics planned for future larger sites., • WAN and Firewall Configuration: Most sites use internet connectivity with VPNs to data centres and local internet breakout; Fortinet firewalls are standard, and while Fortinet skills are advantageous, internal experts will handle advanced configuration, with the expectation that engineers can perform basic troubleshooting and testing., • Testing and Quality Assurance: Testing standards and runbooks are being developed by another internal team, though support for execution of the defined testing with a focus on synthetic and real-user transaction testing, failover scenarios, and ensuring robust handover to end users will be expected to avoid past issues with insufficient site testing., • Wi-Fi Survey and Deployment: For large sites, third parties conduct active Wi-Fi surveys; for smaller sites, the same vendors are used, with potential for in-house surveys in the future; engineers are expected to handle physical installation, controller configuration, and performance validation, but not survey/ placement of WAP designs. All candidates will need to go through a background check. Must be eligible to live and work in the UK. Only successful candidates will be contacted. EQUAL OPPORTUNITIES World Wide Technology is committed to equal opportunities and actively seeks applications from all sectors of the community irrespective of sex, race, color, nationality, ethnic or national origin, disability, marital status, sexual orientation, having responsibility for dependents, age, religion/beliefs, or any other reason which cannot be shown to be justified. Equal Opportunity Employer Minorities/Women/Veterans/Disabled

🌍 Location: London (Hybrid: 4-8 days a month) 💷 Salary Range: £70,000-100,000 📈 Equity: Meaningful early-stage equity 🕒 Stage: Seed → Series A 🌐 Website: Cyb3roperationsCyb3r Operations | Supply Chain & Third Party Intelligence About Cyb3r Operations Cyb3r Operations is building a modern third-party risk intelligence platform that gives organisations real-time visibility into: • Supply-chain and vendor risk, • Financial stress indicators, • Cyber exposure and shadow IT, • Surface, deep and dark-web intelligence, • Breach data, impersonation activity and industry-specific signals Our platform ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly. We have: • Closed our seed round and are entering the next stage of growth, • Expanding the platform, engineering team and customer footprint, • Preparing for Series A with a focus on platform maturity and deeper integrations We're hiring a Senior Lead Software Engineer as a foundational member of our engineering team, someone who will help us build robust, scalable systems and shape how we grow the team around them. Role Overview This is a key early hire. You'll work across the full stack with a strong emphasis on backend services and infrastructure, helping us build systems that scale as we grow. You'll work closely with the Director of Engineering to establish patterns, improve reliability, and lay the groundwork for a larger engineering team. You will: • Design and build backend services that ingest, process and serve intelligence at scale, • Own and evolve our AWS infrastructure, ensuring it's secure, cost-effective and production-ready, • Work across the stack when needed, comfortable contributing to frontend, APIs and data layers, • Help define engineering practices, tooling and processes as the team grows, • Be a key voice in technical decisions and architectural direction, • Mentor and support engineers as we expand the team This role suits someone who wants to build things properly, cares about the foundations, and is excited by the opportunity to shape both the platform and the team. Key Responsibilities Backend Development • Design and build performant, maintainable backend services in TypeScript/Node.js and Python, • Develop APIs using Fastify and integrate with internal and external data sources, • Build data pipelines and processing workflows that handle high-volume intelligence feeds, • Implement robust error handling, logging, monitoring and alerting, • Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering • Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.), • Design for scale, reliability and cost efficiency from the outset, • Implement infrastructure-as-code using Terraform, • Build and maintain CI/CD pipelines for consistent, reliable deployments, • Establish security best practices across infrastructure and application layers, • Monitor, troubleshoot and optimise production systems Architecture & Technical Leadership • Contribute to architectural decisions that support long-term scalability, • Identify technical debt and propose pragmatic approaches to address it, • Evaluate and introduce tools and technologies where they add genuine value, • Document systems, decisions and patterns to support team growth, • Participate in incident response and post-mortems, driving continuous improvement Team Growth & Collaboration • Work closely with the Director of Engineering on priorities, planning and team development, • Help interview, onboard and mentor new engineers as we scale, • Communicate clearly and proactively, flag risks early, share context generously, • Collaborate with Product and other stakeholders to refine requirements and trade-offs, • Foster a culture of learning, quality and mutual support Technical Environment Backend: • Node.js, TypeScript, Fastify, • Python for data processing and automation, • Postgres, Supabase, Redis, • Event-driven microservices architecture, • n8n for workflow automation, • LLM-powered enrichment pipelines Infrastructure: • AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC), • Terraform for infrastructure-as-code, • GitHub Actions for CI/CD, • Monitoring and observability tooling Frontend (for fullstack context): • React, TypeScript, Vite, Next.js Bonus familiarity: • Graph databases and GraphML for relationship modelling, • .NET for legacy integration or specific tooling, • Cyber Security, • SOC2 / CE+ / Regulatory experience What Success Looks Like (First 12 Months) • Core backend services and infrastructure are more scalable, reliable and observable, • Clear architectural patterns established that the team can build upon, • Meaningful contribution to at least one significant platform capability, • Infrastructure costs are understood, monitored and optimised, • Strong working relationships across engineering, product and leadership, • Actively contributed to hiring and onboarding new team members, • Recognised as a trusted technical voice in decisions and planning Ideal Experience • 5+ years of backend development experience, with strong TypeScript/Node.js and Python skills, • Solid, hands-on AWS experience—you've built and operated production infrastructure, not just used managed services, • Experience designing systems for scale, even if you haven't yet operated at massive scale, • Comfortable across the stack—backend-focused but can contribute meaningfully to frontend when needed, • Worked in startup or scale-up environments where you've had to build, ship and iterate quickly, • Experience with infrastructure-as-code (Terraform preferred), • Clear, confident communicator who can explain technical concepts to varied audiences Bonus: • Experience with graph databases or GraphML for modelling complex relationships, • .NET experience for specific integrations, • Familiarity with cyber security, threat intelligence or risk platforms, • Experience building data pipelines or working with high-volume data ingestion, • Previous involvement in growing or mentoring engineering teams What We're Looking For Beyond technical skills, we're looking for someone who: • Loves building: Energised by creating products that solve real problems, • Builds for scale: Thinks about what happens when it grows, not just when it works, • Grows people: Wants to help others develop—shares knowledge, gives feedback, lifts the team, • Stays curious: Asks questions, digs deeper, never assumes they know everything, • Keeps learning: Actively develops their skills and stays engaged with the craft, • Stays humble: Ego-free, open to challenge, happy to be wrong if it leads to better outcomes, • Communicates clearly: Can articulate ideas, trade-offs and concerns directly and constructively This is an early, foundational role. We need someone who cares about getting it right and wants to help us build something that lasts. Why Join Cyb3r Operations This isn't a 9-5. We're building something meaningful, and we're looking for people who want to be part of that. • Foundational impact: Join as a key early hire and shape how we build—both the platform and the team, • Real ownership: Your decisions matter, your code ships, your influence is tangible, • Talented team: Work alongside experienced engineers, intelligence analysts and security professionals who care about their craft, • Shared success: We celebrate wins together and recognise the people who make them happen, • Growth opportunity: Help us scale from seed to Series A and beyond, your career grows with us, • Cyber security domain: Work on problems that matter, in a space that's only becoming more critical, • Competitive package: Salary, matched pension contribution, unlimited leave and flexibility that reflects your experience and contribution If you want to build robust systems, help grow a strong team, and be part of something from the early days, we'd love to hear from you.

Applied AI Engineer Location: Bristol or London (In-person + hybrid option) Employment Type: Full-time Start Date: June-September 2026 Salary: £35,000 to £55,000 Application: Rolling About GenFinance.AI GenFinance.AI is the UK's emerging leader in bringing generative AI to finance and accounting professionals. Our mission: To accelerate the world's finance professionals through rapid, reliable and responsible AI. We work with the institutions that matter: the ICAEW, finance teams in £20m to £150m businesses, and accounting practices navigating the AI transition. We do not build AI models. We deploy them, train people to use them, and advise leadership on adoption strategy. Since launching in June 2024, we have achieved 72% operating margins and repeat contracts with blue-chip clients. Our work includes developing the ICAEW GenAI Accelerator Programme, accessible to 200,000+ members with 250+ videos and 500+ practical use cases. We are building the founding team that will make GenFinance the definitive name in AI for finance. About the Founder Peter Beard has over ten years of experience in finance and accounting. At Ernst and Young (EY), he managed a range of audits (including FTSE and EURO Stoxx 50-listed), contributing to EY's AI research and leading technology transformation projects. Peter was awarded twice by EY UK for his "Significant contributions to innovation initiatives" and "Exceptional technical proficiency and quality commitment". The ICAEW GenAI Accelerator Programme has been produced in collaboration with Peter and GenFinance.AI. He now sits on two ICAEW Advisory Boards (Audit and Assurance Faculty, Members and Commercial Board) and is an Advisory Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca What We Believe Rapid, reliable, responsible Generative AI needs all three to be successfully implemented. Miss one and it fails. We do not compromise on any of them. Trust is a precious commodity In finance and accounting, trust is the currency that matters most. It takes years to build and seconds to destroy. Everything we do must earn, protect and extend that trust. Speed of thought Generative AI is the step closer for humans to work at the speed of thought. That is the standard we are building towards. From cost centre to value maker Finance teams should make money, not just count it. We help them make that shift. First principles thinking This is the bedrock of effective decision making. No assumptions. Solve from the ground up. The back office is neglected Everyone is chasing the prize for the front office. Meanwhile, the back office of GenAI adoption is largely ignored, despite real demand from business owners. That is where we focus. Lasting change, not demos Value is created through lasting work with customers that truly changes their results and work patterns. It means they can go home slightly earlier. It means they can take that project off the shelf because they have saved the time. It means they can cut prices to consumers so everyone benefits. That is what success looks like. How We Work We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. This is not a place where you wait to be told what to do. If that does not excite you, this is not the right role. About the Role This is a founding team role. We are a lean company, just a handful of people building something that matters. You will be joining at the ground floor, not as employee number fifty. You will be the person who knows our tools better than anyone. How they work, where they break, and how to connect them to real business data. You will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build will be used. By clients, by the team, and by the thousands of finance professionals who will come to rely on our guidance. Here is what you will actually do: • Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok), • Master Model Context Protocol (MCP), API, and build our library of data integrations, • Test, evaluate, and grade AI tools for finance, • Participate in research, both field and desk, to help disseminate signal from noise. We are the ones who help our clients decipher what matters, with the trust that has been earned., • Create setup guides, scripts, and documentation for rapid client deployment, • Conduct research on AI developments and translate findings into practical insights, • Contribute to published thought leadership content, • Support client engagements by handling technical integration questions, • Help develop proprietary AI tools, from proof-of-concept to client demos, • Represent GenFinance in our online community, fielding technical questions This is a startup. The nature of a founding team role means there will be ancillary tasks beyond your core remit. You will need to be open to what the business needs. It is a varied role, and that is part of what makes it valuable. Why This Role Matters (For You) If you are hungry to grow, this is your shot. You will get exposure to every major AI platform before most people know they exist. You will work directly with a founder who has Big 4 technology and AI advisory experience. You will shape a company's technical direction, not just execute someone else's vision. Your skill set will grow exponentially faster here than it would inside a larger company. You will develop more in one year than in three elsewhere. More importantly, you will help an entire profession work better. If you find meaning in that kind of work, you will love this role. If you are not ready for a fast-paced environment where you figure things out yourself, this is not the role for you. To Win In This Role, You Need Required: • Demonstrated obsession with generative AI tools. Daily usage, pushed limits, informed opinions., • Deeply curious about the world and likes to connect dots, • Technical ability to work with APIs, read documentation, and figure out integrations independently, • Strong written communication. You can explain complex concepts to non-technical audiences., • Self-directed learning. You do not wait to be told what to explore., • Comfort working hard and solving hard problems, • Excitement for the challenge of a founding team, not looking for structure handed to you Preferred: • BSc or MSc in a related field (Computer Science, Mathematics, Engineering, or similar), • Experience with MCP or similar data integration approaches, • Background in a technical role (software development, data engineering, technical consulting), • Familiarity with finance or accounting concepts, • Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP), • Experience producing technical content (blogs, documentation, tutorials) Not Required: • Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: • Build and maintain GenFinance's integration capability. The playbooks, documentation, and tooling for any client deployment., • Create the industry's most trusted AI tool directory for finance professionals, • Produce published content that establishes GenFinance as a technical authority, • Support successful client deployments with zero integration failures, • Contribute to product development that results in working prototypes in front of real clients, • Help secure technical partnerships with major AI platform providers Location and Environment Bristol or London. In person We come to the office because the best work happens in unexpected moments of collaboration. We will give you focused work zones and the assets you need to succeed. Quality equipment, proper setup, the tools to do your best work. Work from home can be offered. Once we know your capability to get the job done, flexibility follows. Visa sponsorship is possible for exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits • £35,000 to £55,000 base salary (dependent on experience), • £1,500 annual learning and development stipend to focus on your interests in the field, • Pension contributions, • Free gym membership, • Quality equipment (Mac, etc.), • Various discounts and perks, • Equity participation discussed with exceptional candidates Interview Process • Application review. CV, LinkedIn, and application form (see below), • Initial chat. Get to know each other, discuss basic qualifications and mutual fit, • Project. Demonstrate your hands-on capability with generative AI, and your ability to explain something complex clearly, • Final conversation. Meet the founder, discuss the role in detail Our goal is to complete the process within two weeks of first contact. We believe recruitment should be a good experience regardless of outcome. Every candidate who completes an interview will receive specific feedback and a decision within 14 business days. To Apply Apply via LinkedIn AND complete the application form. Application form: We will only consider applications that include both. If you have only clicked "Easy Apply" without completing the form, your application will not be reviewed. This is not bureaucracy. It is how we identify candidates with genuine interest versus passive applicants. This is a rolling application. We will review applications on an ongoing basis until the role is filled.

Senior Software Engineer (Python - FastAPI) This fast-growing consultancy is pushing the boundaries of AI and data science, helping clients turn complex challenges into scalable, production-ready solutions. They’re now hiring a Senior Software Engineer who can blend deep technical expertise with a practical, delivery-focused mindset. Role Overview: Location: London (hybrid) Package: Competitive salary + bonus + benefits Industry: AI, Data Science & Technology Consulting Security Clearance: Applicants Must have Active SC Clearance or above What You’ll Be Doing: • Leading the end-to-end design and build of applications that utilise advanced AI and data-led software solutions., • Developing scalable data pipelines and backend services that support complex modelling work., • Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments., • Training, tuning and deploying machine learning models into production., • Creating processes for robust data extraction, transformation and management., • Integrating new solutions with existing systems and ensuring smooth deployment., • Producing clear technical documentation and presenting findings to clients., • Staying current with emerging technologies and bringing fresh ideas into the team., • Contributing to proposals and shaping new project opportunities., • Mentoring junior engineers and driving best practice across the engineering team. Main Skills Needed: • Strong track record delivering complex software projects end-to-end., • Deep expertise in Python Application Development (FastAPI), with a strong SQL capability., • Hands-on experience building data pipelines, APIs and backend services., • Solid understanding of cloud platforms (Azure/GCP) and Bash scripting., • Advanced Docker knowledge, including storage, volumes and permissions., • Strong grounding in software engineering principles, version control and CI/CD., • Ability to review and improve others’ code with a collaborative approach., • Excellent communication skills and confidence presenting technical work., • Experience mentoring or line-managing technical team members., • Eligible for UK security clearance (British citizenship and UK residency for 5+ years). What’s in It for You: • A genuinely entrepreneurial environment with autonomy and variety., • Projects spanning multiple industries, technologies and data challenges., • 26 days’ holiday + bank holidays + your birthday off., • BUPA private healthcare and a £1,000 annual development budget., • Performance-based bonus and hybrid working from a modern Shoreditch office., • Work from abroad for one month each year., • Regular socials, snacks and a supportive, ambitious team. Think it could be a fit? We’d love to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Service Engineer – Audio Visual Location: St Albans & London Salary: £40,000 + benefits (pay review after 3-month probation) We’re looking for a professional, client-facing Service Engineer to take ownership of our service and aftercare work across high-end AV residential projects. This role suits someone who is technically strong, organised, well presented, and comfortable dealing directly with clients in their homes. About the role Our service department is lean and growing. You’ll be responsible for: • Diagnosing and resolving network, AV and smart home issues, • Managing service calls from booking through to completion, • Communicating clearly and professionally with clients by email, phone and on site, • Planning your own visits and managing your workload effectively, • Keeping accurate records of work carried out within our systems Essential skills & experience We’re looking for someone who ticks most or all of the below: • Minimum 2 years’ experience as an AV / Smart Home / Service Engineer, • Strong networking knowledge (this is essential), • VLANs, switches, fault finding, structured troubleshooting, • Confident with UniFi (switches, gateways, access points) or quick to learn it., • Lutron experience is essential (HomeWorks / RA / diagnostics and fault finding), • Experience working with integrated systems, • Working on your own with strong fault-finding capability., • Strong problem-solving skills and the ability to work calmly under pressure, • Excellent communication skills, written and verbal, • Comfortable booking appointments and liaising directly with clients, • Well presented, professional, and client-facing, • Able to work independently and take responsibility, • Full UK driving licence Desirable (but not essential) • Experience with Savant, • You don’t need to be an expert, but you must be able to pick it up quickly, • Broader AV experience (audio distribution, control systems, racks), • An understanding of upselling or identifying additional works, • This is welcomed but not a sales role What we’re offering • £40,000 salary (starting), • Pay review after 3 months, based on skill level, attitude and application., • Company van, • Pension, • Proper tools, systems and support, • A company that values quality, professionalism and long-term client relationships, • Opportunity to grow as the service side of the business expands into service management. About us We’re an established AV and lighting company delivering high-end residential projects. Our clients expect professionalism, discretion, and quality workmanship, and we support our engineers in providing exactly that. If you take pride in your work, your appearance, and how you deal with clients — and you enjoy solving problems correctly — you’ll fit in well here. How to apply Please apply with your CV and a short summary of your experience via LinkedIn

About the role We are seeking an experienced Security Engineer to play a pivotal role within a client team based in London. You will oversee and drive the successful mobilisation and delivery of access control and CCTV projects across the client’s portfolio. This position will involve supporting enterprise-level application implementations, managing migrations from legacy systems, and providing expert troubleshooting. The ideal candidate must excel in multitasking and thrive in a fast-paced, dynamic environment. This is an on-site role, based in the St Pauls, London area, requiring five days per week on-site presence. Occasional travel, particularly to Europe, may be necessary. What you will do • Supporting Enterprise level application implementations, including programming, testing and commissioning, and project completion activities., • Provide remote support and expert advice for break-fix events across client sites in the UK, Ireland, EMEA, and APAC regions., • Oversee and manage the service and maintenance of Planned Preventative Maintenance (PPM) and break-fix requirements, integrating these responsibilities into the Business-as-Usual (BAU) operations, particularly for senior engineers., • Participation in the Request for Change (RFC) Change Control process system to support PPM and break-fix activities., • Supervise and oversee documentation for the commissioning process and ensure final sign-off., • Manage and maintain the commissioning folders for each project, ensuring accuracy and completeness., • Occasionally travel within the UK and Central Europe to support critical security infrastructure projects or to resolve urgent break-fix issues., • Oversee and execute the system configuration of the C-Cure and Victor servers for adding new or modifying existing installations, • Process the administration of systems, providing a robust triage service through a 24/7 Command Centre for all reported technical issues and manage any subsequent requirement and fault resolution from the vendor engineer., • Monitor technical bulletins and liaise with the technical support functions to manage any known issues that could affect the specific product lines and provide management with advice on recommended mitigations., • Responsible for ensuring that system projects are completed, from requirements gathering, and system/solutions design, through to deployment within agreed deadlines, within budget, and any potential issues escalated in line with internal policy while maintaining the client's best interests., • Act as the main point of escalation technically and operationally., • Work collaboratively in a multidisciplinary global team., • Prepare and deliver accurate weekly reports covering incidents, downtime, and business impact across all platforms, in alignment with the client lead requirements., • Provide communications within the group and actively participate in meetings., • Continually ensure that practices, policies, strategy, and services represent the client’s and the Company’s best interests. What we are looking for • Experienced and certified in C-Cure 9000 AACS Application level 2 and Genetec Synergis and security centre., • Experienced and certified in Victor VMS/CCTV Application., • A high level of proficiency and expertise relevant to the design, deployment, and management of integrated Enterprise physical and technical security systems. This will include a comprehensive understanding of ICT Infrastructure, hosting arrangement, and networks., • Proven record of working on successful physical security system implementations/migrations, capable of delivering quality solutions and outcomes within complex and time-sensitive environments., • Highly proficient in the use of Microsoft Office suite including Project, Word, Excel, and PowerPoint., • The ability to identify and meet project deadlines and deliverables., • Excellent written and verbal communication skills with both internal and external parties. NB: The successful candidate will be required to pass our security screening procedures and those required by our client(s) if necessary y screening procedures and those required by our client(s) if necessary.

L3 Network Engineer, Assoc Manager UK (London) Locations: London (must be willing to travel to client sites throughout the UK on an ad hoc basis) Salary: Competitive salary and package (Depending on level of experience). Accenture are partnering with scaled UK AI compute pioneers to lead the charge on next-generation infrastructure. To support this endeavor, we’re building a high-performance compute operations team in London. Our work will be sensitive, secure and on the most up-to-date high density compute stacks available. Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Key Responsibilities: -Manage network and firewall security. -Troubleshoot network connectivity incidents (this includes routing, switching and security). -Build, configure and maintain network infrastructures as per best practices. -Identify service improvements to reduce risk and improve stability. -Producing high quality implementation scripts, test plans and change controls for all network changes -Respond to real-time alerts and dashboards for networking resources to detect service-impacting events. -Perform initial triage and isolation for incidents following established runbooks and procedures. -Document incidents, actions, and outcomes accurately in the incident management system. Support service delivery and SLA compliance -Investigate and resolve incidents escalated from L1.5 Engineers, conducting in-depth analysis of compute, storage, and network issues. -Develop and refine troubleshooting guides, runbooks, and knowledge base articles. -Coordinate with engineering, automation, and vendor teams for persistent or complex technical problems. -Monitor and analyse performance metrics and incident trends, recommending proactive measures for reliability improvements. -Mentor L1.5 Engineers to support skill development and knowledge sharing. -Participate in on-call schedules as required. -Eligibility for UK Government security clearance Required Skills: -Working knowledge of network security including firewall configuration and security policy management. -Working knowledge of networking protocols and an understanding of EIGRP, BGP, OSPF, and IP multicast. -Management of LAN/WAN environments including device protocols and communication standards, such as Juniper, Arista or Fortinet -Administration of Firewall systems such as FortiGate, Palo Alto Juniper, and Checkpoint -VPN and Remote Access solutions -Associate level Network certification (CCNA, JNCIA or equivalent) -Working knowledge of Implementing and supporting large corporate or data centre networks preferably in a multi-client, service provider environment. -Experience in incident management, advanced troubleshooting, and operational best practices. -Advanced network troubleshooting skills. -2+ years of routing protocols (OSPF, BPG) -Scripting for automation (Python, Bash) -Familiarity with ITSM, Agile methodologies and tools eg ServiceNow, Jira. #LI-EU Job Qualifications Job Qualifications -Bachelors Degree in Electrical Engineering (Relevant experience will be considered)

Technical Design Director - Data Centres - Electrical or MEP Location: London Salary: £75-110k DOE Our client is a globally recognised engineering consultancy, specialising in innovative building services and ICT solutions. With a strong commitment to sustainability, they have been at the forefront of low-carbon advancements for over two decades. Renowned for technical excellence and a collaborative culture, they empower world-class projects while fostering a diverse and inclusive workplace. We now seek a fully experienced Electrical Technical Director to be based out of their London office. Role Responsibilities: • Team Management and leadership role in the development, design and coordination of engineering project services, including reporting, • Carries out cost and profit diagnosis on projects including feasibility studies and preparation of project fee proposals, • Reviews status advised by project personnel and external parties and modifies schedules or plans as required., • Develops and specifies applications of controls, instruments, and operating systems for all building engineering services purposes, • Surveys tests and reports on existing electrical/mechanical installations, • Fiscal and commercial management of projects to ensure they return the target margin, • Leadership and hands on delivery of monitoring of construction and installation on projects, • Liaising with existing clients to establish long term relationships and future upcoming projects, • Liaising with future client prospects and general business development., • Specifies activities to ensure that manufacturing, construction, installation, and operational testing confirm to functional specifications and customer requirements, • Represents Company at technical meetings with customers, professional teams and contractors teams, • Carries out engineering calculations to ensure drawings meet required robust industry and legal standards, • Support clients in tender and procurement of MEP contractors and MEP equipment., • Leads on the coordination of engineering services, incl. delivery of concept and details designs, • Ensures risk and performance monitoring analysis, • Mentoring and development of younger members of the engineering team, • Production of technical white papers to promote the technical capabilities of the Company, • Surveys and due diligence reports of existing data centres, • Presenting technical papers at industry events where the opportunity arises, • BSc/BEng in appropriate engineering discipline/BEng General Building Services or have sufficient equivalent experience, • MCIBSE/MIEE or HND/HNC + appropriate experience or equivalent, • Chartered Engineer status, • Significant experience of specification design for a range of building types, • Experience of having managed projects abroad (desirable), • Sound knowledge & working application of key health and safety issues and legislation, • Appreciation & working knowledge of contract and business law, • Ability to use IT based calculation and spreadsheet software, • Good understanding of BS standards/ UK regulations/codes, • Experience and understanding of invoicing and credit control, • Strong Leadership & mentoring skills, • Background in consulting or construction preferred., • Good understanding of international working and business operations of a global consultancy.

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Our vision for the role We are searching for an experienced Senior Cloud Infrastructure Security Engineer with an unquenchable thirst for automation and a passion for DevSecOps methodology. You'll be working with a team of other engineers to build out and secure our expanding cloud infrastructure in AWS. While this is a hands-on engineering position (not a CISO or a consulting role), you will need the confidence and gravitas to heavily influence engineers and managers across a wide technical function. The team holds itself accountable to a high standard of build quality. We have recently completed the first major phase of a completely green-field infrastructure and platform rebuild that is designed to underpin Cint’s business applications for the next decade, while scaling to support a 10-fold growth in revenue. We are compulsive about infrastructure as code (nothing in our platform is created or deployed unless via a code change) and driven to achieve a full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. You will be someone that shares our values and ambitions and can bring security best practices and specific cloud security expertise to the party. You will additionally be the kind of person that is energised by complex challenges, teamwork and problem solving. In return, we can offer a great tech culture, highly competitive compensation packages and employment benefits. Qualifications Responsibilities • Work as part of the Infrastructure team defining and improving our general security posture across legacy and green field resources including data, applications and networks, • Provide point of expertise on application, data and network security to our wider engineering teams - engaging with them in order to ensure consistent adoption of security policies and best practice, • Participate in the automation of software to our cloud platform and embed security into our methodology, embracing DevSecOps, • Improve our monitoring and alerting systems to enhance them with specific and relevant security data points, • Participate in an on-call rotation and assist with troubleshooting issues that arise, • Three years or more experience in Cloud Infrastructure roles (predominantly AWS) working within teams that practice DevSecOps, • Ability to interact comfortably with AWS via CLI and/or API, • Proficient in managing Infrastructure exclusively with Terraform, • Specific expertise in threat assessment, attack surface management, data security, the network stack at L4 and L7, DNS, VPC security, IGW, WAF and CloudFront, • Experience designing and managing IAM policies, roles and trust policies, • Good knowledge of most of VPN, MFA, SAML, OAuth2, KMS and TLS, • Good knowledge of some IdP (Okta, OneLogin, Auth0) frameworks and integrations, • Experience building and running Docker images/containers securely, including container orchestration security, • Experience of code security audit, static and dynamic analysis, defensive programming techniques and visualisation and measurement of security KPIs, • Expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java), • AWS Certified Security Specialist, • Hands on experience designing and implementing security controls within GCP, • Experience defining and operating a Security Incident Response process, • Good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, OpenSearch, • Any experience of ISO27001 certification processes, • Understanding of “cloud native” and 12-Factor applications, • Offensive or defensive penetration testing experience Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our ___.