Low level jobs in United Kingdom

At OFG, we work smarter so you can spend more time doing what makes you happy! Job Title: SEN Teacher Health and Social Care - Maternity Cover Location: Syon Manor College, Isleworth, London, TW7 5AJ Salary: Up to £45,000.00 per annum (salary negotiable) Hours: 37.5 hours per week | Monday to Wednesday 8.30am – 4.30pm | Thursday and Friday 8.30am – 4.00pm Contract: Fixed Term (Maternity Cover until August 2027) | Term Time Only Start: April 2026 Essential: Full UK Driving Licence UK applicants only – this role does not offer sponsorship About the Role We are seeking a committed and compassionate SEN Teacher (Health & Social Care) to join the team on a maternity cover basis at our Syon Manor, Isleworth campus. This role offers an exciting opportunity to deliver high-quality, inclusive education to pupils with a wide range of academic, social and emotional needs, ensuring every learner is supported to make meaningful progress from their individual starting points. The successful post holder will work flexibly across tutor groups, contributing to a positive, trauma-informed and nurturing learning environment that reflects and strengthens the wider ethos of the College. Key Responsibilities Teaching and Learning • Plan and deliver engaging, high-quality lessons aligned to Pearson examination boards., • Adapt curriculum content and teaching strategies to meet the needs of pupils with SEND, SEMH and low prior attainment., • Create a calm, consistent and emotionally safe classroom environment rooted in mutual respect., • Apply trauma-informed and attachment-aware approaches to support pupil regulation and engagement., • Deliver the College curriculum in an accessible, relevant and meaningful way., • Teach Entry Level English and Health & Social Care in line with College development plans., • Work creatively to integrate learning across subjects where appropriate., • Support thematic, topic-based or cross-curricular learning models., • Assess, track and record pupil progress using formative and summative assessment methods, including EFL., • Provide clear, constructive feedback to support pupils’ next steps in learning., • Establish clear routines and boundaries that promote positive behaviour and engagement., • Apply College behaviour policies consistently using restorative and relational approaches., • Support pupils’ emotional wellbeing within a safe, structured and nurturing environment. About Us Syon Manor College is a new post-16 provision for young people with autism and complex needs. The college will offer a broad curriculum of academic, vocational and life skills learning including BTECs, GCSEs, Functional Skills and ASDAN accreditations which will work towards Employability or Independence and Duke of Edinburgh qualifications. For over 19 years Options Autism have provided care and education to pupils, young people and adults with autism, complex needs and learning difficulties. We are a leading provider of education for neurodivergent young people and young adults. As part of Outcomes First Group, we are leading our sector in setting and delivering new approaches that provide measurable outcomes for those in our care. We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. Why join Options Autism? We place the outcomes of the pupils and vulnerable young adults in our services at the heart of everything we do, so you’ll wake every day in the knowledge that your role will have a significant positive impact on the lives of others. We are committed to the safeguarding and promoting the welfare of pupils and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales #1

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.

Location: London Company: Timebeat.app Reports to: Head of Engineering / CTO About Timebeat Timebeat is building next-generation infrastructure for precise, verifiable time and frequency synchronization across distributed systems. Our technology sits at the intersection of hardware, FPGA design, and large-scale systems, enabling customers to measure, guarantee, and reason about time in ways that were not previously possible. As we scale, we are looking for an FPGA engineer who wants to own major technical initiatives, help shape architecture decisions, and grow into a people- and project-leadership role. The Role This role is ideal for a strong FPGA engineer who is ready to take the next step in their career—moving beyond individual contribution into technical leadership, mentoring, and project ownership. You will remain hands-on with FPGA design while also: • Leading FPGA-centric projects end-to-end, • Acting as a technical point of contact across hardware, firmware, and software teams, • Supporting and mentoring other engineers, • Helping define best practices, processes, and technical direction for FPGA development at Timebeat Key Responsibilities Technical Leadership & Delivery • Own the architecture, design, and delivery of FPGA solutions used in production systems, • Translate system-level requirements into FPGA designs and implementation plans, • Drive design reviews, technical decision-making, and trade-off discussions, • Ensure designs meet performance, reliability, and maintainability requirements Hands-On FPGA Engineering • Design, implement, and verify FPGA logic using VHDL and/or Verilog/SystemVerilog, • Work with high-speed interfaces, clocks, timing closure, and synchronization logic, • Integrate FPGA designs with embedded software, drivers, and system-level components, • Support bring-up, debugging, and validation on real hardware Team Growth & Mentorship • Mentor junior and mid-level engineers through code reviews and technical guidance, • Contribute to hiring and onboarding as the FPGA team grows, • Help define engineering standards, documentation, and development workflows Cross-Functional Collaboration • Work closely with software, systems, and product teams to deliver customer-facing features, • Communicate complex technical topics clearly to both technical and non-technical stakeholders, • Support customer or partner engagements where deep FPGA expertise is required Required Skills & Experience • Strong experience in FPGA design and development in a production environment, • Proficiency in VHDL and/or Verilog/SystemVerilog, • Experience with FPGA toolchains (e.g. Xilinx / AMD, Intel / Altera), • Solid understanding of:, • Clocking and timing constraints, • CDC, synchronization, and deterministic timing, • Debugging FPGA designs on hardware, • Experience owning significant technical components or projects, • Comfortable reviewing others’ work and providing constructive feedback Nice to Have • Prior experience leading small teams or acting as a technical lead, • Experience with time-sensitive systems, networking, or high-precision timing, • Exposure to embedded Linux, drivers, or low-level software interfaces, • Familiarity with formal verification, simulation frameworks, or CI for FPGA, • Interest in growing into an engineering management or hybrid lead role What We're Looking For • An engineer who enjoys both building and leading, • Someone excited by ownership, responsibility, and seeing projects through to production, • A collaborative communicator who raises the bar for those around them, • A pragmatic problem-solver who balances technical excellence with delivery Why Join Timebeat • Work on deep technical problems with real-world impact, • Influence the technical direction of FPGA development from an early stage, • Grow into a leadership role at a fast-moving, highly technical company, • Competitive compensation, flexible working, and strong engineering culture

Senior Software Engineer (Node.js) London – Hybrid flexible Up to £80,000 + equity We’re currently partnered with a real-time sports data platform that is revolutionising how companies leverage data to empower their business. They are looking for a performance focused Senior Engineer with a passion for writing clean, efficient, and maintainable code. This is an exciting opportunity to join collaborative and innovative startup with opportunities for professional growth and learning. What You’ll Do • Design and develop high-throughput, low-latency APIs using Typescript/Node.js., • Build and maintain real-time data ingestion and processing pipelines., • Optimise backend services for scalability, reliability, and millisecond-level performance., • Implement websocket and streaming endpoints for live data delivery., • Collaborate with front-end teams to power trading consoles and dashboards., • Profile and tune Node.js applications for performance and memory efficiency., • Ensure secure API design and compliance with data privacy regulations., • Contribute to architecture discussions, code reviews, and documentation. Key requirements • Strong experience with Node.js in production environments., • Experience with VPS-based deployments., • Solid understanding of microservice architecture and distributed systems., • Knowledge of concurrency patterns and performance optimisation., • Experience with APIs, networking, and real-time data systems., • Familiarity with observability tools., • Ability to write clean, maintainable, and well-documented code. Nice to Have • Experience building high-throughput, low-latency APIs., • Knowledge of real-time data ingestion and streaming pipelines., • Exposure to profiling and optimisation tools., • Understanding of fault-tolerant, scalable microservice architectures., • Experience with websocket or streaming endpoints for live data delivery., • Awareness of observability best practices. Why Apply? • Salary up to £80,000., • Remote working possibility & flexible hybrid set up, • London Office, • Opportunities for professional growth., • Strong Equity offering, • All expenses paid work trips to exciting locations., • A collaborative team where every role is respected equally., • Strong learning environment., • The ability to shape an early-stage start-up and contribute to building a company that puts its internal teams and customers first. This is an exciting opportunity for a Senior Software Engineer to help shape the future of a transformative real-time data platform. If you’re passionate about building world-class, high-performance systems and want to make your mark in a fast-growing tech company, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!

ASIC Design Engineer Location: London HQ | Fully remote within the UK (quarterly visits) Salary: Up to £80,000 base only I’m currently recruiting for an ASIC Design Engineer on behalf of a leading managed service provider that is partnering with a global semiconductor powerhouse to build and grow a UK-based chip development team. This is a great opportunity to join a rapidly expanding UK operation while working on technically challenging, large-scale ASIC/SoC projects, alongside well-established global engineering teams. The role is fully remote within the UK, with quarterly visits to the London headquarters. There are multiple openings available as the team continues to scale. In this role, you’ll be responsible for defining, implementing, and optimising RTL-level digital logic for complex ASIC and SoC designs. Key Responsibilities • Translate architectural specifications into efficient, synthesizable SystemVerilog RTL., • Develop detailed micro-architecture specifications for functional blocks and subsystems., • Integrate IP blocks and ensure robust connectivity and data flow across the SoC. Requirements • BSc or MSc in Electrical Engineering, Computer Engineering, or a related discipline., • 3+ years’ experience in digital logic / RTL design for ASIC or SoC projects., • Strong SystemVerilog skills., • Solid understanding of digital design fundamentals., • Experience using EDA tools for simulation, synthesis, and linting., • Familiarity with low-power design techniques, timing analysis, and common interfaces such as AXI, AMBA, PCIe, or DDR., • Working knowledge of scripting languages (Python, Perl, or Tcl) for automation., • Exposure to FPGA prototyping or emulation is a plus. Eligibility & Package • UK residency is required; relocation is not supported and only UK-based candidates can be considered., • Visa sponsorship is available, where applicable., • Base salary up to £80,000, dependent on experience, plus standard benefits.

Renewables Commissioning & Service Engineer Overview • Job type: Permanent, full-time, • Industry: Energy management systems, battery energy storage, EV charging, distributed energy resources, • Location: Site-based role with occasional travel to a London office, • Remuneration: Competitive salary plus participation in a performance-related bonus scheme. Company vehicle provided, • Experience: 5+ years in a relevant engineering role, • Languages: English required; additional languages advantageous, • Education: Higher-level qualification in Electrical Engineering, • Professional certifications: 18th Edition preferred (not essential) The Role An established and growing clean energy technology business is seeking a Renewables Commissioning and Service Engineer to strengthen its delivery function. The delivery team is responsible for the end-to-end implementation of battery storage and energy management projects, from pre-installation through commissioning and aftersales support. This role combines hands-on electrical engineering with project coordination and technical support, working closely with internal teams, suppliers, and installation partners. Key activities include: • Supporting project delivery through pre-configuration of equipment and technical assistance to installation partners, • Assisting with procurement activities, including supplier liaison, goods-in processes, and stock management, • Diagnosing and resolving faults during commissioning and on existing operational systems, • Collaborating with engineering and development teams to implement new system enhancements, • Interpreting and producing electrical drawings to support commissioning and aftersales work The successful candidate will have a strong understanding of low-voltage renewable energy systems and demonstrate a methodical, proactive approach to problem-solving. Clear communication and the ability to explain technical concepts simply are essential. Responsibilities • Work closely with project managers and third-party installers to provide technical guidance and on-site support, • Oversee and support system installation and commissioning activities, • Respond to and resolve system faults or operational issues as they arise, • Read, understand, and contribute to technical manuals, schematics, and diagrams, • Diagnose and correct electrical installation issues, • Provide both remote and on-site aftersales technical support Required Experience • Practical experience with electrical and control/supervisory circuits, • Good knowledge of electrical regulations, industry best practices, and standard components, • Familiarity with IT infrastructure and communication networks Skills & Aptitude • Strong analytical and numerical skills with a structured problem-solving approach, • Excellent organisational and communication skills, written and verbal, • Ability to work independently and travel as required while collaborating with remote colleagues, • High level of IT literacy and networking competence, • Proficiency with Microsoft Office and willingness to learn new software tools, • Full UK driving license, • Strong attention to detail, • Confident, proactive, and resilient mindset Desirable Qualifications & Experience • Level 3 Award in the Requirements for Electrical Installations (BS 7671:2018 – 18th Edition), • Experience working in a fast-paced or scaling organisation, • Valid CSCS card

Dynamics 365 CRM Developer We are seeking a highly experienced Dynamics 365 CRM Developer with 10–16+ years of enterprise CRM and cloud development experience, bringing strong hands-on expertise across the Dynamics 365 and Power Platform ecosystem. The ideal candidate has delivered end-to-end implementations across Dynamics 365 Customer Insights, Customer Service, and Sales, with a proven ability to build scalable, secure, and high-performing CRM solutions. This role is hands-on and technical, focused on development, customization, integrations, and automation within complex enterprise environments. You will work closely with architects, product owners, and business stakeholders to translate requirements into robust technical solutions, while adhering to platform best practices and governance standards. Key Responsibilities • Develop and customize Dynamics 365 CRM solutions for Sales, Customer Service, and Customer Insights, • Implement plugins, custom workflows, custom actions, and business rules, • Build and maintain Power Apps (model-driven) and enhance user experience through form and UI customizations, • Develop and support Customer Insights data ingestion pipelines, • Implement data unification rules, segmentation logic, and calculated measures, • Build and maintain integrations using:, • Dataverse APIs, • REST/OData APIs, • Azure Functions, Logic Apps, and Service Bus, • Middleware / ESB platforms, • Develop and consume custom APIs and ensure reliable data synchronization across systems, • Build enterprise automations using Power Automate, Azure Functions, and custom connectors, • Develop reusable components and frameworks to support scalable CRM development, • Implement AI-driven capabilities using AI Builder, Dynamics 365 AI features, and Azure Cognitive Services, • Optimize CRM performance, data quality, and user adoption, • Participate in DevOps and CI/CD pipelines for Dynamics 365 and Power Platform solutions, • Support ALM, solution packaging, environment management, and deployments, • 10–16+ years of experience in enterprise CRM development, • 8+ years of hands-on development experience with Microsoft Dynamics CRM / Dynamics 365

QA Engineer (First SDET Hire) | Social Impact Tech – Remote UK | £45K–£80K Are you scrolling through roles that all feel the same? Would you like to use your engineering skills to genuinely improve the lives of some of the most vulnerable people in the UK? We’re working with a mission-led technology company that uses data and technology to help households access the financial support they’re entitled to. They’ve already helped millions of people unlock billions in unclaimed support and are now entering an exciting scale-up phase. This is their first dedicated QA / SDET hire, giving you a rare opportunity to shape quality engineering from the ground up in a product that truly matters. As the QA Engineer, this is far more than a test execution role. You’ll act as the advocate for quality across a growing product suite – from user-facing calculators to complex data and analytics services. What you’ll be doing • Owning and defining the QA strategy from scratch as the first SDET in the business, • Expanding test coverage across existing systems while setting standards for the future, • Leading testing across front-end, back-end, integration, and security, • Driving automation and scalability, reducing manual QA through robust frameworks and infrastructure-as-code approaches, • Coaching and mentoring engineers through pairing, code reviews, and promoting meaningful test coverage, • Ensuring reliability and security in mission-critical, data-driven systems that directly impact low-income families This role is open to mid-level through to senior engineers — mindset, ownership, and motivation matter more than ticking every box. What they’re looking for • Experience with (or enthusiasm to learn) JavaScript / TypeScript, Node.js, React, and AWS (Lambda, Fargate, S3), • Exposure to modern testing tools such as Cypress, Playwright, Mocha, or Chai, • A pragmatic, methodical approach to improving legacy systems while continuing to deliver value, • Strong communication skills and confidence collaborating with both technical and non-technical stakeholders, • A genuine interest in using technology to drive positive social impact Why consider this opportunity? • Meaningful impact – your work directly helps people access essential financial support, • Greenfield QA ownership as the first dedicated SDET, • Clear career progression as the engineering function scales, • Primarily remote (UK-based) with quarterly travel to London (fully paid for), • Inclusive, supportive culture where people genuinely look out for one another, • The chance to shape QA in a purpose-driven organisation at an early stage If you’re curious to learn more, feel free to apply or drop me a message for a confidential chat.

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

Would you like to be part of Vital Energi’s Strategy of Growth? If so, due to our ongoing growth, we are looking for a number of Intermediate, Senior and Principal Electrical Design Engineers to join our growing teams based in our London, Blackburn and Glasgow office. Key Projects • Gatwick Airport Decarbonisation: Work on a prestigious project involving the installation of over 12MW of heat pumps at one of the UK’s busiest airports, supporting major sustainability objectives., • Utility Scale Solar and Battery Schemes: Participate in the design and implementation of large-scale solar and battery projects, which provide power to industrial clients, universities, and hospitals., • Decarbonisation Initiatives: Contribute to projects featuring significant air source and water source heat pump installations for government bodies, industrial partners, universities, and healthcare institutions., • Vital Energi Owned Assets: Engage in energy from waste developments and transmission-level battery energy storage solutions within the company’s portfolio. The Company Vital Energi is a leading provider of renewable energy infrastructure and systems to the public and private sectors. We are supporting Hospitals, Universities, New Build developments, Towns and Cities as well as Industrial and Commercial clients to decarbonise their buildings. We have and continue to work on ground-breaking projects throughout the UK which are supporting the UK’s Net Zero targets, such as the recently announced £1 billion low-carbon infrastructure project for Westminster. With plans to double our headcount over the coming years, supported by offices opening in new locations across the country and our strong investment pipeline, coupled with our expansion into new markets such as industrial power generation with our very own Energy-from-Waste facility, there is no better time to join the family here at Vital Energi. About the role- You will play a crucial role in the Design function by producing calculations, drawings and documentation used to deliver major Renewable Energy, Sustainability, Power Infrastructure and Power Generation projects involved in the transition to Net Zero. As well as receiving tailored support from other experienced Electrical Engineers at all levels, you will be put on a comprehensive development plan designed to encourage internal progression through to the Senior, Principal, Associate Director and Director levels while gaining Chartered status and developing knowledge covering a range of Renewable Energy and Power Generation projects. Key responsibilities. • Developing technical specifications, calculations, electrical designs and drawings used in a variety of projects, • Producing things such as power cable calculations, C&I cabling specifications, cable & interconnection schedule projection and electrical building service designs, • Supporting the compilation and production of design documentation to bespoke project specifications, client specifications and/or legislative compliance, • Inputting into the preparation of HAZOP studies, • Carrying out relevant equipment selection for projects Skills/Experience • Demonstrable experience producing electrical designs for Power Generation, Power Transmission, Renewable Energy, Building Services or similar equipment, • Ideally educated to at least HNC/HND level in Electrical Engineering, preferably to Degree level, • Knowledge of BS7671 Wiring Regulations, • Experience with Amtech design software (advantageous), • An understanding of pneumatic & hydraulics (advantageous), • Experience with motor VSD controls and MCC equipment (advantageous), • Ex-Forces and Forces leavers with transferrable experience are also invited to apply, • Full UK manual driving licence The Package: • Salary negotiable DOE, • Car/ Car Allowance, • Contributory Company Pension Scheme, • Non-contributory death-in-service insurance, • Employee Assistance Programme, • 25 Days Holiday plus 8 days bank holidays., • Additional holidays awarded in line with length of service, • Option to purchase/sell additional holidays, • Onsite gym/wellbeing centre at our Blackburn Head Office, • Discounted gym membership across the UK, • EV charging points where possible The company is opposed to all forms of discrimination and will select for employment, training and promotion on the basis of suitability for the job and/ or merit. It is company policy that no job applicant or employee receives less favourable treatment than another on the grounds of sex, race, colour, age, ethnic or national origins, political affiliations, religious beliefs, marital status, physical disability or is disadvantaged by unjustifiable conditions or requirements. Only applicants who are legally entitled to work in the UK and are currently resident in the UK are invited to apply. Notice to Agency and Search Firm Representatives: Vital Energi Utilities Ltd is not accepting unsolicited CVs from agencies and/or search firms for this job posting. CVs submitted to any Vital Energi Utilities Ltd employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Vital Energi Utilities Ltd. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you

Earn up to £57,937 plus £4,000 call-out retainer, London allowance, van, and 26 days’ holiday — support district heating networks across East London. Join one of the UK’s leading energy providers in a vital role maintaining low-carbon heating infrastructure across key sites in the capital. Why you’ll love this role: • High base salary with generous overtime and allowances, • Company van, fuel card, and tools provided, • Long-term role supporting sustainable urban energy What you’ll be doing: • Maintaining district heating assets including boilers, pipework, and plant rooms, • Supporting both electrical and mechanical maintenance tasks, • Travelling to local sites and working 1-in-5 on-call rota, • Ensuring safe systems of work across varied environments What we want from you: • ONC/NVQ Level 3 in Engineering, • Experience with commercial heating systems and plant isolation, • IOSH or NEBOSH desirable, • Full UK driving licence Apply now to join this company and deliver reliable heat to thousands of homes and businesses.

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity Urban Digital is partnering with a high-growth deep-tech AI scale-up building on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores globally. Their platform powers real-time computer vision and PoS automation across large, distributed retail environments. This is production-grade AI operating at significant scale. They’re hiring a Technical Solutions Engineer to take full technical ownership of enterprise deployments and ongoing account success (technically). This is not a TAM, not a PM, and not an implementation role. This role is for engineers who enjoy deep troubleshooting, systems thinking, and hands-on ownership across complex, live environments. If you like pulling systems apart, debugging across devices, networks, cloud services, and AI behaviour, and being the technical authority when things get complex, this role will suit you well. What You’ll Be Doing • Own the technical success of enterprise deployments across thousands of PoS and on-device systems, • Troubleshoot end-to-end across:, • AI model behaviour, • Device integrations and performance, • Store networks and connectivity, • Cloud infrastructure and data flows, • Analyse logs, metrics, and telemetry (Grafana, Metabase) to identify root cause, • Work hands-on with Linux, SQL, Docker, and cloud platforms (AWS / GCP / Azure), • Lead pilots, rollouts, and on-device testing across major retail estates, • Manage incidents from first alert through to identifying product-level or architectural issues, • Collaborate closely with Engineering, ML, and Product teams to improve reliability and performance, • Translate complex technical issues into clear, confident guidance for enterprise retail stakeholders, • Act as the dedicated technical point of contact for strategic global accounts Ideal Background You’re a hands-on, client-facing technical engineer with real ownership experience in live production environments. You’re comfortable moving between: • Low-level debugging, • System-level reasoning Technical Requirements Strong troubleshooting experience across: • Linux (OS-level commands and diagnostics), • SQL (querying and debugging data issues), • Docker / containerised services, • Cloud platforms (AWS, GCP, or Azure), • Log analysis, monitoring, and performance metrics, • Diagnosing issues spanning:, • AI models, • APIs and integrations, • Networks, • Device hardware Highly Relevant Backgrounds • Technical Support Engineer (L2 / L3), • Solutions Engineer (deeply technical), • Platform Support Engineer / SRE-lite, • Technical Account Manager with hands-on ownership, • Engineers experienced with distributed systems, IoT, or ML/AI platforms Why Join? • Work across AI, computer vision, , hardware, and cloud technologies, • Significant technical variety, no two problems are the same, • Direct input into product and technical decision-making, • Equity with meaningful upside, • Real-world impact across thousands of retail devices globally, • Customer-facing work without sacrificing technical depth Interested? If you’re a strong technical problem-solver who enjoys complex systems and customer-facing engineering in modern AI environments, we’d love to speak with you.

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

This role sits within an established FPGA engineering team supporting performance-critical trading systems. The position offers hands-on exposure across the full FPGA development lifecycle, working closely with software engineers and trading stakeholders to deliver production-ready solutions. The successful candidate will contribute to the design, implementation, testing, and integration of FPGA applications, gaining experience in low-latency systems while building a strong foundation within a collaborative engineering environment. Key Responsibilities • Work alongside software engineers and trading teams to design and deploy FPGA solutions across trading platforms, • Deliver FPGA applications end-to-end, including RTL design, synthesis, place & route, and static timing analysis, • Develop and maintain shared testing and validation frameworks, • Support FPGA–software integration by building APIs and optimising interfaces, • Identify and propose practical solutions to FPGA, hardware, and system-level constraints Required Experience & Skills • 2–3 years’ experience in FPGA engineering within defence, aerospace, telecoms, or research-driven environments, • Minimum 2 years of hands-on, full-time FPGA development experience, • Strong VHDL development capability with supporting Python skills, • Experience working in Linux-based development environments, • Solid engineering fundamentals with good coding and design discipline, • Comfortable collaborating within multi-disciplinary teams, • Working knowledge of networking, computer architecture, and verification concepts, • Prior exposure to C/C++ is beneficial but not essential, • Clear interest in technology-driven trading or financial markets Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

Senior C++ Developer / Engineer (C++ Rust Low Latency Trading) London / WFH to £180k+ Are you a Senior C++ Developer to progress your career and transfer your skills to Rust? You could be joining a hugely profitable High Frequency Trading firm that specialise in crypto markets and earning substantial bonuses in a senior, hands-on Senior C++ Developer role. What's in it for you: • Salary to £180k, • Bonus (c50% of base), • Pension, • Hybrid working, • Career progression Your role: As a Senior C++ Developer you will design and develop high throughput backend services for microsecond real-time risk, pricing, trading engines and market making systems, working across the full software development lifecycle using Rust (and some C++ for legacy systems). You'll collaborate with a small, talented team, problem solving and working on complex and challenging systems with interesting work. Location / WFH: You'll join the team in Central London with flexibility to work from home 1-2 days a week. About you: • You have strong backend OOP, multithreaded software engineering experience with C++ and are comfortable working with Rust going forward, • You have experience of working on high throughput, low latency systems with microseconds / nanoseconds, within a finance (or games) environment, • You have a good understanding of low level system design, Operating Systems, Networking, Socket Level programming, hardware, compilers, FPGA, • You achieved a 2.1 or above in Computer Science from a top tier university, • You are collaborative and pragmatic with great communication and stakeholder management skills, also with some leadership or mentoring experience Apply now to find out more about this Senior C++ Developer / Software Engineer (C++ Rust High Frequency Trading) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Quantitative Developer – HFT (C++) | Ultra-Low-Latency Trading | High-Performance Systems We are looking for an experienced C++ engineer to join a high-performance trading team focused on building ultra-low-latency systems that operate at global scale. This is a unique opportunity to work on cutting-edge technology where every nanosecond counts. ⭐ The Role As part of the HFT team, you will: • Design, develop, and optimize latency-critical C++ systems for trading, market data, and infrastructure., • Work on end-to-end ultra-low-latency architectures, including kernel-level tuning, network optimization, and highly efficient system components., • Collaborate with FPGA engineers and hardware teams to integrate hardware and software pathways., • Profile and fine-tune performance across CPU, cache, and memory layers, ensuring maximum efficiency., • Contribute to the evolution of a high-throughput, front-office tech stack. 🎯 What We’re Looking For • 5+ years of experience in performance-critical C++ (C++17 or newer)., • Strong expertise in systems programming, memory management, and CPU architectures., • Deep knowledge of Linux internals, kernel parameters, and low-level profiling., • Passion for high-performance computing, networking, and hardware-software optimization., • Experience in systematic trading, HFT, or quantitative environments is a plus., • Proven ability to architect, optimize, and scale ultra-low-latency systems. 🌍 Why This Opportunity Is Exceptional • Work in a front-office, revenue-driving engineering environment., • Build and optimize state-of-the-art HFT systems across software, FPGA, and infrastructure., • Join a culture that values innovation, autonomy, and technical excellence., • Direct impact on strategy performance and technology evolution., • Opportunities to work in global offices. If you’re a C++ engineer excited by ultra-low-latency systems, HFT, and high-performance software design, this is a rare opportunity to make a tangible impact on a top-tier trading desk.

Job Title: Senior Embedded Software Engineer Rank: Determined by the confirmed level and scope of experience Company: Chevalier Tech Limited Location: Colindale, Greater London (On-site) Salary: Salary is competitive and negotiable based on experience. Job Type: Full-time, Permanent About Us Chevalier Tech Limited is a tier-one supplier specialising in advanced technology systems, primarily for the automotive industry. Our products include Safety-Critical and Access Control Systems, Power Actuators, Smart Door Handles, and Control Electronics, which are integrated into high-end passenger and super cars worldwide. About the Role As a highly Experienced Software Engineer, you will lead the software engineering team, play a pivotal role in the design, development, and implementation of embedded software solutions for new and existing products. You shall ensure the relevant software development processes and records are applied and secured. Ultimately, you are expected to efficiently drive the development of new products, enhance existing ones, while always ensuring our products meet the highest industry standards for reliability and advances in technology. This is a highly important position offering the right candidate an excellent career growth coupled with a unique opportunity to fulfil own potential as a leader in innovation. Key Responsibilities • Lead the design, development of embedded software for automotive applications., • Oversee the development of new products, ensure high performance, reliability, compliance with industry standards, and suitability for volume production., • Enhance and refine existing software solutions., • Delegate tasks to the engineering team to ensure timely delivery, quality and efficiency., • Provide technical support and guidance to the team as and when needed., • Collaborate with hardware and mechanical engineers to integrate and test embedded systems., • Develop and use existing methodology to enforce best practices for software development, testing and preservation., • Produce and maintain high-quality technical documentation., • Ensure compliance with industry standards such as ISO 26262 and cybersecurity protocols. Essential Skills & Experience • Minimum of 8 years' experience in embedded systems development, preferably in the automotive or similar industry., • Proven leadership and team management skills, with experience in art of leading and delegating, • Proven experience in software development for volume production., • Extensive expertise in C programming for safety and security critical applications., • Hands-on experience with microcontrollers such as NXP, Onsemi, nRF, PIC, ARM and TI., • Familiarity with CAN and LIN communication standards., • Strong knowledge of SPI, UART, and I2C communication protocols., • Experience with BLE (Bluetooth Low Energy)., • Solid understanding of software debugging, troubleshooting, and testing strategies., • Ability to create and maintain production-level technical documentation., • Strong accountability and ability to drive technical projects from concept to completion., • Familiarity with ISO 26262 and automotive cybersecurity. Desirable Skills & Experience • Knowledge of Pulsed Radio UWB (Ultra-Wide Band Pulsed Radio Frequency)., • Familiarity with AUTOSAR., • Knowledge of Motor Drives and Controlled Systems. What We Offer • Competitive salary with Private Pension Scheme., • Career progression opportunities, including leadership and project ownership., • The chance to work on cutting-edge automotive products., • A friendly and dynamic work environment., • A significant role in shaping the future of embedded systems in the automotive industry., • Benefits: Casual dress, company events, worldwide travel opportunities., • Lump sum bonuses and ad-hoc promotion in addition to the standard year-end salary review Working Hours • Monday to Friday, • 9:00 AM - 5:00 PM Requirements • Must be based in the UK to apply., • Ability to commute or to relocate. If you are an ambitious and experienced engineer with a passion for innovation, leadership, and an inclination toward the automotive technology, we would be delighted to hear from you!

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production — unlocking even the most complex sites. We’re currently seeking a Robotics Software Engineer to build the control software for electro-mechanical systems, develop tooling for data logging and analysis, implement low-level device drivers and create simulation and validation workflows to support rapid prototyping and fast iteration. Responsibilities: • Designing and implementing control software for electro-mechanical and robotic systems;, • Developing tooling for data logging, analysis, and system performance insights;, • Building and maintaining device drivers for fieldbus interfaces (EtherCAT, CAN);, • Creating simulation environments for system behaviour, testing, and validation;, • Rapidly prototyping new features and system behaviours to support early-stage development;, • Collaborating with mechanical and control teams for integration;, • Ensuring reliability, safety, and maintainability across all software components. Expertise: • Proficiency in C++ and Python;, • MS degree providing a good foundation in mathematics;, • First-principles approach to problem-solving with the ability to break down complex systems;, • Experience with real-time control systems for robotic platforms or mechatronics platforms;, • Experience with data logging, analysis pipelines, and performance tooling;, • Prior robotics experience is beneficial but not required. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

We're hiring an Android OS Engineer to help build the operating systems behind next-generation AR/VR devices. This is deep technical work across Android internals, AOSP integrations, system frameworks, and performance-critical components. If you enjoy working close to the metal and shaping the foundations of immersive hardware, you'll feel at home here. What's on offer • Annual Salary from £98,000-£110,000 doe and location, paid weekly via Principle HR, • Fully remote within the UK (must already be UK-based with full right to work), • 6-month PAYE contract, inside IR35, strong potential to extend, • Opportunity to work on OS components that ship on market-leading AR/VR products What we're looking for • 6+ years' software engineering experience, • Strong background in Android internals, AOSP, frameworks or OS-level development, • Proficiency in C++ and Java (Kotlin is useful but not essential), • Experience building or maintaining system components rather than apps, • Exposure to embedded, device-level or resource-constrained environments is beneficial What you'll work on • Integrate new Android/AOSP releases into custom AR/VR system frameworks, • Build, debug and optimise OS-level services, APIs and internal infrastructure, • Work with engineering teams across the UK and Europe on system design and stability, • Contribute to performance profiling, low-level debugging and system tooling, • Support the evolution of a complex, large-scale Android-based platform Interested? Next Steps... If you'd like to work on real AR/VR system software that reaches millions of users, apply now with your CV and I'll be in touch to discuss the next steps. Som |

About us: Encompass Digital Media is a global managed services company focused on supporting TV networks, broadcasters, sports leagues and digital platforms with the delivery of their linear/nonlinear video and audio content across television, radio and digital platforms. We design, implement and operate reliable video and audio solutions that capture, process and deliver clients’ content from any source, in any format, to any destination in the most efficient and reliable way possible. Main Purpose: As a key member of the global Live Engineering team, the Live Engineer is responsible for the design, build, testing, and delivery of live and occasional use broadcast services worldwide. The role is both proactive - anticipating technical needs, driving improvements, and supporting innovation, and reactive - responding swiftly to operational challenges and escalations. Working closely with internal teams across regions, the Live Engineer ensures robust solutions, seamless service delivery, and effective support for critical live events. By adhering to company standards and collaborating with colleagues, the Live Engineer directly supports the Director, Live Engineering in achieving strategic objectives, operational excellence, and continuous improvement across the broadcast organisation. The role is part of a multi-regional engineering team that adopts a ‘follow-the-sun’ project and support model to ensure coverage for Encompass’ regional operations. Principal Responsibilities: Technical Delivery & Support • Proactively configure, set up, and test broadcast systems and services, preparing for both planned deployments and unexpected incidents, in line with global standards and best practices., • Provide 3rd line support and act as an escalation point for complex live broadcast issues, ensuring rapid resolution and minimal service disruption to uphold operational excellence., • Implement technical changes to the broadcast chain based on customer requests, internal findings, or root cause analysis, ensuring changes are documented, risks are assessed, and the Director is kept informed., • Attend and contribute to internal, technical, supplier, and customer meetings, representing engineering interests and sharing expertise to support collaborative decision-making., • Participate in kick-off and design sessions, collaborating with internal teams to shape technical solutions that align with strategic goals and standardisation initiatives., • Arrange cable schedules, produce detailed low-level designs, and create rack elevation diagrams for new and existing systems, supporting the groups drive for consistency and scalability., • Engage with the network team, peers and other technical specialists as required to deliver complex broadcast solutions., • Update and produce comprehensive end-to-end documentation for handover to operations and support teams, ensuring clarity, completeness, and compliance with company standards., • Lead proof of concept initiatives and complex testing prior to deployment, validating new technologies and workflows to support innovation and continuous improvement. Collaboration & Communication • Work closely with Operations, Support Engineering, PMO, Solution Architects, and other internal teams to ensure seamless project delivery and operational readiness, supporting the groups vision for global alignment., • Facilitate knowledge sharing and process alignment across global teams, contributing to continuous improvement and standardisation., • Escalate, open tickets, and follow up with internal and external parties to resolve issues efficiently and maintain service quality, ensuring transparency and accountability. Standards & Compliance • Ensure all work adheres to company policies, SOPs, and security standards, maintaining compliance with industry best practices for live broadcast environments and supporting the groups governance responsibilities., • Contribute to the standardisation of technology, tools, and processes across regions, enabling the groups drive global consistency and efficiency. Additional Requirements • Point of escalation for major customer impacting issues, • Strong judgement, critical thinking, communication, and adaptability Experience / Knowledge: • Strong understanding of the end-to-end live broadcast chain and its operational requirements., • Working knowledge of UHD, HDR, SDR, colour conversion processes, SCTE, Dolby, captions/subtitles, and standards conversion., • Familiarity with Playout, MCR, and Streaming environments., • Knowledge of fiber, internet, and satellite contribution/distribution., • Experience with compression and IP signal flows., • Proficient in troubleshooting and escalation processes., • Working knowledge of live broadcast control interfaces and systems., • Ability to assess risk and make sound judgements under pressure., • Experience in escalating, opening tickets, and following up with internal and external stakeholders. Personal Skills • Composed and decisive under pressure, with strong judgement and risk assessment abilities., • Excellent communication and collaboration skills, able to engage with diverse teams and stakeholders., • Self-motivated, adaptable, and proactive in maintaining technical competency., • Demonstrates integrity, accountability, and a commitment to organisational values., • Flexible and prepared to operate across time zones and outside standard hours when necessary. Benefits include: • 25 days annual leave per annum, plus bank holidays, • Matched up to 5% pension contributions and independent pension advice, • Health benefits including eye care vouchers, health cash plan and 24/7 employee assistance programme, • Income protection and life assurance benefits, • Regular wellness and engagement events, • Performance recognition awards

Senior Embedded Software Engineer Salary: Up to £100,000 Location: London - 3 days a week We’re working with a rapidly growing tech for good company that is transforming how data, automation, and smart integrations shape the future of digital infrastructure. Their platform optimises real-time operations, connecting users with seamless, intelligent technology solutions. We are looking for a modern, innovative and driven Senior Embedded Software Engineer to join their growing team. They are looking for someone who has commercial experience working with C software development in an IoT, hardware or embedded solutions environment , who is interested in a data-driven AI-first journey. Responsibilities: • Design, implement, and test firmware for embedded systems across diverse market applications., • Enhance codebase architecture to support scalability, maintainability, and future development., • Maintain and support released products, ensuring long-term reliability and performance., • Provide third-level technical support, diagnosing and resolving complex hardware and firmware issues., • Develop and manage automated test frameworks for embedded devices to ensure robust validation., • Create and execute both manual and automated test cases. Key requirements: • 5+ years experience in software development with C in an embedded environment., • Proven knowledge in digital electronics and working at the interface between hardware and firmware., • Strong experience debugging embedded software and associated electronics and hardware tools., • Strong experience in wireless communications, • Familiar with building test applications in Python., • Proven expertise in developing multi-tasking embedded software on microcontrollers, with hands-on experience in low-level peripherals and communication protocols. This is a chance for a Senior Embedded Software Engineer to join an ambitious and increasingly successful business who deliver impact with their modern technology. **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

QA Engineer | Social Impact Tech - London (Westminster) / Hybrid - £45K – £80K Are you scrolling through roles that all feel the same? Would you like to use your engineering skills to genuinely improve the lives of some of the most vulnerable people in the UK? We’re working with a mission-led technology company that uses data and technology to help households and ensure they have access the financial support they’re entitled to. They’ve already helped millions of people unlock billions in unclaimed support and are now entering an exciting scale-up phase. As the a QA, this is far more than a test execution role. You’ll act as the advocate for quality across a growing product suite – from user-facing calculators to complex data and analytics services. You’ll have the opportunity to: • Own and shape the QA approach from the ground up, expanding coverage across existing systems and defining future standards, • Lead testing strategy across front-end, back-end, integration, and security, • Drive automation and scalability, reducing manual QA through robust frameworks and infrastructure-as-code approaches, • Coach and mentor engineers through pairing, code reviews, and promoting meaningful test coverage, • Ensure reliability and security in mission-critical, data-driven systems that directly impact low-income families This role is open to mid-level through to senior engineers — mindset and motivation matter more than ticking every box. What They’re Looking For • Experience with (or enthusiasm to learn) JavaScript / TypeScript, Node.js, React, and AWS (Lambda, Fargate, S3), • Exposure to modern testing tools such as Cypress, Playwright, Mocha, or Chai, • A pragmatic, methodical approach to improving legacy systems while continuing to deliver value, • Strong communication skills and the ability to collaborate confidently with engineers and non-technical stakeholders, • A genuine interest in using technology to drive positive social impact Why Consider This Opportunity? • Meaningful impact – your work directly helps people access essential financial support, • Clear career progression as the engineering function scales, • Flexible, hybrid working (Westminster office + home), • Inclusive, supportive culture where people genuinely look out for one another, • The chance to shape QA in a purpose-driven organisation from an early stage Expectation is for one day a week in their office near Westminster. If you’re curious to learn more, feel free to apply or drop me a message for a confidential chat.

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

We are looking for an experienced Developer with strong computer vision experience to design, build, and maintain a high-performance Software Development Kit (SDK) used in security-critical mobile applications. This role sits at the intersection of mobile engineering, applied computer vision, and SDK architecture, and will play a key role in delivering reusable, secure, and developer-friendly components used by third-party teams and partners. Key Responsibilities SDK Design & Development • Design and develop a cross-platform mobile SDK (iOS & Android) using Swift and Kotlin, • Create clean, modular, well-documented SDK APIs for external developers, • Ensure the SDK is easy to integrate, versioned correctly, and backward compatible, • Own the full SDK lifecycle: design, development, testing, packaging, and release Computer Vision & Biometrics • Implement and optimise computer vision pipelines on mobile devices, • Work with camera frameworks, image processing, and real-time analysis, • Integrate vision-based features such as:, • Face detection / liveness detection, • Image validation and anti-spoofing, • Multi-signal identity verification (where applicable), • Optimise performance for low latency, low power usage, and on-device processing Security, Quality & Performance • Apply secure coding practices suitable for identity, authentication, or trust-based systems, • Write comprehensive unit, integration, and performance tests, • Profile and optimise memory usage, CPU/GPU usage, and battery impact, • Support internal and external developers during SDK integration Collaboration & Documentation • Collaborate with product, security, and backend teams, • Produce clear SDK documentation, sample apps, and integration guides, • Contribute to technical design discussions and architectural decisions Required Skills & Experience Core Technical Skills • Proven experience building and maintaining SDKs or developer platforms, • Hands-on experience with computer vision on mobile, • Deep understanding of mobile performance constraints Computer Vision Experience • Experience with mobile CV frameworks such as:, • Apple Vision / CoreML, • OpenCV (mobile), • Custom ML or image processing pipelines, • Experience working with real-time camera input, • Understanding of lighting conditions, motion, spoofing, and edge cases, • Experience in using Tensaflow Software Engineering • Strong knowledge of software architecture and API design, • Experience with CI/CD for mobile libraries, • Versioning, semantic releases, and dependency management, • Comfortable working in high-assurance or security-focused environments Nice to Have • Experience with biometrics, identity verification, or liveness detection, • Experience writing SDKs consumed by external customers or partners, • Familiarity with cryptography, secure enclaves, or trusted execution, • Experience with cross-platform SDK strategies, • Background in regulated industries (finance, legal, insurance, defence, healthcare) What Success Looks Like • A robust, secure, and performant SDK that external developers enjoy using, • Vision features that work reliably across devices and environments, • Clear documentation that reduces integration friction, • SDK releases that are predictable, stable, and well-supported Ideal Seniority • Senior or Lead level, • Comfortable owning complex technical problems end-to-end, • Able to balance performance, usability, and security trade-offs

We are seeking an exceptional C++ Engineer to join one of the world's most advanced high-frequency trading firms. This is a rare opportunity to work at the intersection of cutting-edge technology and global financial markets, where performance is measured in nanoseconds and innovation drives competitive advantage. You'll be part of a team that designs and builds ultra-low latency trading systems deployed across global exchanges. Your work will directly impact trading performance, and you'll be empowered to push the boundaries of what's possible in software and hardware optimisation. Key Responsibilities • Architect and implement high-performance C++ systems with extreme latency sensitivity., • Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O., • Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading solutions., • Profile, benchmark, and tune systems using advanced tooling and custom diagnostics., • Contribute to the design of proprietary protocols, lock-free data structures, and real-time analytics pipelines. Ideal Candidate • Expert-level proficiency in modern C++, with a deep understanding of low-level systems programming., • Strong grasp of computer architecture, concurrency, and performance engineering., • Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking., • Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management., • Proven track record of building latency-critical systems in trading, gaming, or telecom environments., • Bonus: Experience with FPGA acceleration, RDMA, or custom NIC firmware. Why Apply? • Work with some of the fastest systems and smartest minds in the industry., • Direct impact on trading performance and strategy execution., • Access to bespoke infrastructure, bleeding-edge hardware, and proprietary tooling., • Culture of excellence: flat structure, minimal bureaucracy, and relentless focus on performance., • Compensation at the top end of the market, with significant upside tied to impact. Apply Now!

Senior Compiler Engineer Location: London Salary: £80k – £100k We’re partnering with a well-funded, fast-growing semiconductor and AI computing company building high-performance compute platforms at the intersection of advanced silicon, accelerators, and compiler technology. They are expanding their compiler organisation and are looking for Senior to Staff-level Compiler Engineers to work on performance-critical, hardware-aware compiler systems that directly impact next-generation compute products. Senior Compiler Engineer Responsibilities • Development and evolution of LLVM-based and custom compiler toolchains, • Performance optimisation for AI / ML and accelerator-driven workloads, • Low-level code generation, backend, and systems-level compiler work, • Close collaboration with architecture, silicon, and hardware teams to influence real products Senior Compiler Engineer Background • Strong experience in compiler development (LLVM strongly preferred), • Excellent C++ skills, • Background in systems programming, performance optimisation, or hardware-aware software, • Exposure to AI accelerators, CPUs, GPUs, or DSPs is a strong plus Interested in learning more? Message Harry Hansford at IC Resources for a confidential discussion.

Backend Engineer: Distributed Systems Specialist Location: New York or London (Hybrid) Salary: $300,000 – $350,000 USD About Us We’re a stealth-mode infrastructure venture building next-gen primitives for decentralized execution. Our mission: rethink how distributed systems scale, sync, and self-heal — with a focus on performance, modularity, and cryptographic integrity. Our team includes protocol veterans, systems engineers, and cryptography researchers pushing the limits of what’s possible in Web3 infra. The Role We’re hiring a Backend Engineer with deep distributed systems expertise to help architect and optimize our core infrastructure. You’ll work on low-latency, high-throughput systems that power decentralized coordination, execution, and data integrity across global nodes. What You’ll Build • Core backend services for distributed coordination and execution, • Fault-tolerant systems that scale across thousands of nodes, • Performance-critical modules for consensus, networking, and data pipelines, • Internal tooling for observability, testing, and simulation, • Contributions to open-source infra and protocol-level primitives What You Bring • 5+ years of backend engineering experience in systems-level environments, • Deep knowledge of distributed systems, fault tolerance, and consensus mechanisms, • Strong command of Rust, Go, or C++ (Rust preferred), • Experience with container orchestration, microservices, and cloud-native infra, • Familiarity with blockchain, cryptographic protocols, or decentralized coordination Bonus Points • Experience in zero-knowledge systems, MPC, or verifiable computation, • Contributions to open-source infra projects, • Prior work in Layer 1 or Layer 2 blockchain development Why Join • Stealth-stage impact with protocol-grade ownership, • Competitive comp: $300k–$350k base + equity, • Hybrid flexibility in NYC or London, • Work with a team of deep systems thinkers and protocol engineers

🚀 AVP Quant Developer – Algorithmic Trading | London We’re hiring for an AVP Quant Developer to join a leading global investment bank in London, working directly on high-performance algorithmic trading systems in a front-office environment. This team is responsible for building and enhancing latency-sensitive trading platforms, partnering closely with quants and traders to deliver live trading strategies across Credit, Rates, or FX. What they’re looking for: • Exceptional Java engineering skills (core focus), • Hands-on experience with algorithmic trading platforms, • Strong system-level understanding (performance, scalability, reliability), • Ability to work closely with quants and traders in a front-office setup 📌 While this role may suit candidates with relatively limited years of experience, the technical bar is very high—this is a true merit-based AVP position. Why consider this role? • Direct impact on live trading strategies, • Exposure to cutting-edge trading technology, • Strong career progression within a top-tier institution, • High-visibility, front-office work in London If you’re passionate about algo trading, low-latency systems, and real market impact, feel free to message me directly for more details.

Back End Engineer / Developer (Rust High Frequency Trading) London / WFH to £180k+ Do you have expertise with low latency software engineering within finance or gaming environments? You could be progressing your career in a senior, hands-on Back End Engineer role at a hugely profitable High Frequency Trading firm that specialise in crypto markets and earning substantial bonuses. What's in it for you: • Salary to £180k, • Bonus (c50% of base), • Pension, • Hybrid working, • Career progression Your role: As a Back End Engineer you will design and develop high throughput back end services for microsecond real-time risk, pricing, trading engines and market making systems, working across the full software development lifecycle using Rust. You'll collaborate with a small, talented team, problem solving and working on complex and challenging systems with interesting work. Location / WFH: You'll join the team in Central London with flexibility to work from home 1-2 days a week. About you: • You have commercial Rust development experience, • You have strong backend OOP, multithreaded software engineering experience (e.g. C++, Java, Python), • You have experience of working on high throughput, low latency systems with microseconds / nanoseconds, within a finance (or games) environment, • You have a good understanding of low level system design, Operating Systems, Networking, Socket Level programming, hardware, compliers, FPGA, • You achieved a 2.1 or above in Computer Science from a top tier university, • You are collaborative and pragmatic with great communication and stakeholder management skills, also with some leadership or mentoring experience Apply now to find out more about this Back End Engineer / Developer (Rust HFT High Frequency Trading) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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

Software Engineer – High-Performance Computing & Quant Tech HMx Labs – London (Hybrid), Permanent, ~£70k + benefits HMx Labs is a boutique consultancy focused on the messy, interesting intersection of high-performance computing, cloud, and quantitative finance. We help banks, hedge funds, and vendors design, build, and debug serious compute platforms – from CPU/GPU clusters for risk calculations to low-latency analytics and large-scale simulations. We’re hiring a Software Engineer to work in the HPC side of the company. One day you might be talking to finance quants about risk workloads, the next you’re deep in conversation with GPU engineers about kernels, memory layouts and performance – and plenty in between. More than a perfect CV, we care that you’re smart, highly motivated, and that you actually care about HPC (and maybe finance too). You should enjoy understanding how systems behave at a low level and be happy jumping between domains. You must have • The right to live and work in the UK indefinitely, • At least 1 year of experience as a software engineer in paid full-time employment, • Knowledge and commercial experience with at least one of, Java, C# or Python, • Experience with at least one non-managed / manual-memory language, e.g. C, C++, Rust. Experience working in financial services technology (risk, trading, analytics, etc.) Nice to have but not deal-breakers: • Experience with distributed systems, job schedulers, or batch frameworks, • Working with GPUs (CUDA, ROCm, or similar), • Familiarity with numerical methods, Monte Carlo, or risk systems, • Prior consultancy or client-facing experience About HMx Labs We’re a small, specialist shop, not a giant body-shop. That means: • You’ll have real ownership and direct impact on client work, • You’ll see a wide range of interesting HPC and quant problems, not the same ticket farm every day, • You’ll work closely with people who actually care about performance, correctness and cost – not just buzzwords Anyone applying with a recommendation from someone who has worked with HMx Labs goes to the top of the pile. Location, salary & working style • Role: Permanent, full-time, • Location: London-based, hybrid (some time in the office / with clients is expected), • Salary: Around £70k + benefits, depending on experience How to apply (and one important request) I’ll make the same offer as last time: I won’t use AI to filter or assess candidates if you don’t send me AI-generated applications or apply without thought. Deal? That means I will actually read your application, but in return: • Don’t send an obviously AI-generated CV or cover letter, • Your CV, • A short note explaining your experience with either HPC or financial services tech (or both)

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

Java Software Engineer A leading trading firm in London is growing its engineering team and is looking for a high-performance Java Engineer to help build ultra-low-latency systems used directly on live trading desks. What You’ll Be Doing • Designing and building low-latency Java systems used in electronic trading, • Developing highly concurrent, multithreaded applications, • Optimising performance at the microsecond level, • Working closely with traders, quants, and infrastructure teams, • Improving throughput, stability, and execution speed, • Writing clean, well-tested production code What We’re Looking For • Strong commercial experience with Core Java, • Deep knowledge of multithreading, concurrency, and JVM internals, • Proven experience building low-latency / high-throughput systems, • Strong understanding of networking, memory management, and performance tuning, • Experience in trading, market data, risk, or execution systems preferred Nice to Have • Experience with FIX, market data feeds, or pricing engines, • Knowledge of Linux internals, • Background in finance, trading, or HFT environments What’s On Offer • £130k base, • Discretionary bonus, • 3 days a week in the office, 2 days a week WFH

Account Executive (E-Learning) £100k basic salary plus uncapped OTE London (Hybrid) This is not a job for the faint of heart. It’s for the AE who’s ready to walk into a £40M legacy revenue machine—and tear it down to rebuild something world-class. You will be handed a warm book of global logos, executive buy-in, and the green light to reshape how enterprise sales are done completely. The Current Reality: • 10,000+ low-value deals per year, • £3 - 10K average deal size, • Legacy sales culture that’s overrun by volume, not value The Mission: • Collapse that volume and go upmarket—fast, • Land suxfigure deals, expand to 7-figures, • Shift the mindset from transactional to transformational, • Build strategic, multi-year partnerships with the world's biggest brands Who We Want: • Sold into FTSE 250, • You’ve done the hard yards in SaaS / Consultancy / Platform sales., • You’re used to chaos, not process., • Closed £1M+ annually, • Operated in complex enterprise environments, • Know how to turn vision into pipeline, and pipeline into revenue, • Don’t flinch at a blank slate—you thrive on it What You’re Walking Into: • A name everyone already knows—but a GTM motion ready for reinvention, • Massive board-level appetite for change, • Direct access to the VP of Sales + C-suite backing, • A chance to lead the charge, shape the playbook, and become the story of the turnaround This isn’t for paper-pushers, process jockeys, or big-logo coasters. This is a career-defining role for a builder who wants to own the number, shape the narrative, and leave their mark.

VP Sales & Revenue Location: London, Hybrid Company A founder-led B2B SaaS scale-up operating at the intersection of workforce wellbeing, safety, and operational productivity. The company combines software with human-led services to support large, distributed, and predominantly blue-collar workforces. The business has achieved strong product-market fit in its home market and is now investing in building a scalable UK operation as the foundation for broader international growth. Product An integrated platform combining technology and human support to improve workforce wellbeing, reduce absenteeism, and increase operational productivity. In the UK market, the value proposition is increasingly positioned around measurable business and operational outcomes rather than traditional wellbeing narratives. Typical outcomes include reduced absenteeism, improved workforce availability, earlier intervention for physical and mental health issues, and lower disruption across critical services and frontline operations. Core customer outcomes • Reduced absenteeism, • Improved workforce availability, • Earlier medical and mental health intervention, • Lower operational disruption in critical services Reporting & stakeholders • Reports into global revenue leadership, • Close collaboration with founders and senior leadership team in different timezone, • Comfort working with senior, demanding stakeholders is essential UK team & structure • Most senior commercial leader in the UK, • Owns the full UK commercial function, • Small existing enterprise sales team, • Customer success and marketing support in place Customer profile & deal size • Enterprise and public-sector organisations, • Large, distributed blue-collar or frontline workforces, • Pricing typically per-employee per year, • Six-figure to low seven-figure annual contract values, • Net-new budget creation rather than vendor replacement Revenue context • Existing UK revenue base in place, • Active enterprise pipeline, • Mandate to scale UK into a meaningful, sustainable revenue contributor, • Focus on quality, repeatability, and long-term growth Role overview • Builder role with MD-level scope for the UK, • Full ownership of UK go-to-market and revenue outcomes, • Hands-on enterprise selling combined with strategic leadership, • Strong bias toward execution in the first 12–18 months, • Early delegation is limited Key objectives • Personally lead and close a material share of enterprise deals, • Build a strong, selective enterprise pipeline, • Land 1–2 marquee enterprise or public-sector customers, • Navigate pilot-led and RFP-driven sales cycles, • Develop UK reference customers and ROI proof points, • Define repeatable UK go-to-market “sweet spots”, • Build partner-led access where appropriate, • Maintain clear, transparent communication with global leadership Must-have experience • Built or scaled a market from an early stage, ideally in the UK, • Strong, hands-on enterprise sales background, • Experience selling into blue-collar or frontline organisations, • Track record of creating budget rather than replacing incumbents, • Experience selling to HR, People, Safety, Workforce, or Operations leaders, • Comfort with multi-stakeholder buying groups, • Ability to translate soft workforce challenges into hard ROI, • Strong judgment in deal and partner prioritisation Nice-to-have experience • Workforce optimisation, HCM, insurance, or operational platforms, • Public-sector or regulated enterprise sales exposure, • Partner-led go-to-market experience, • International or satellite-office leadership experience Compensation: Strong total OTE package up to 400K GBP. Hiring process • Initial screening via Bluebird, • Interviews with global commercial leadership, • Interviews with operational leadership, • Final stage with founder leadership, ideally in person

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity Urban Digital is partnering with a high-growth deep-tech AI scale-up building on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores globally. Their platform powers real-time computer vision and PoS automation across large, distributed retail environments. This is production-grade AI operating at significant scale. They’re hiring a Technical Solutions Engineer to take full technical ownership of enterprise deployments and ongoing account success (technically). This is not a TAM, not a PM, and not an implementation role. This role is for engineers who enjoy deep troubleshooting, systems thinking, and hands-on ownership across complex, live environments. If you like pulling systems apart, debugging across devices, networks, cloud services, and AI behaviour, and being the technical authority when things get complex, this role will suit you well. What You’ll Be Doing • Own the technical success of enterprise deployments across thousands of PoS and on-device systems, • Troubleshoot end-to-end across:, • AI model behaviour, • Device integrations and performance, • Store networks and connectivity, • Cloud infrastructure and data flows, • Analyse logs, metrics, and telemetry (Grafana, Metabase) to identify root cause, • Work hands-on with Linux, SQL, Docker, and cloud platforms (AWS / GCP / Azure), • Lead pilots, rollouts, and on-device testing across major retail estates, • Manage incidents from first alert through to identifying product-level or architectural issues, • Collaborate closely with Engineering, ML, and Product teams to improve reliability and performance, • Translate complex technical issues into clear, confident guidance for enterprise retail stakeholders, • Act as the dedicated technical point of contact for strategic global accounts Ideal Background You’re a hands-on, client-facing technical engineer with real ownership experience in live production environments. You’re comfortable moving between: • Low-level debugging, • System-level reasoning Technical Requirements Strong troubleshooting experience across: • Linux (OS-level commands and diagnostics), • SQL (querying and debugging data issues), • Docker / containerised services, • Cloud platforms (AWS, GCP, or Azure), • Log analysis, monitoring, and performance metrics, • Diagnosing issues spanning:, • AI models, • APIs and integrations, • Networks, • Device hardware Highly Relevant Backgrounds • Technical Support Engineer (L2 / L3), • Solutions Engineer (deeply technical), • Platform Support Engineer / SRE-lite, • Technical Account Manager with hands-on ownership, • Engineers experienced with distributed systems, IoT, or ML/AI platforms Why Join? • Work across AI, computer vision, , hardware, and cloud technologies, • Significant technical variety, no two problems are the same, • Direct input into product and technical decision-making, • Equity with meaningful upside, • Real-world impact across thousands of retail devices globally, • Customer-facing work without sacrificing technical depth Interested? If you’re a strong technical problem-solver who enjoys complex systems and customer-facing engineering in modern AI environments, we’d love to speak with you.