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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Finance Analyst - Stock & Operations Manchester 28,000 - 32,000 + benefits Onsite Consumer / E-commerce / Retail This is an exciting opportunity to join a fast-growing, founder-led consumer business operating at significant scale. The company is experiencing rapid growth driven by digital and social commerce demand, creating complexity across stock management, fulfilment, and operational decision-making. The business is fast-paced, entrepreneurial, and highly commercial. This role sits close to senior decision-makers and focuses on turning financial and operational data into insight that directly impacts margin, cost control, and customer experience. The Role This is a newly created Finance Analyst role designed to improve visibility and decision-making across stock, cancellations, and operational performance. The focus is on actionable insight rather than reporting for reporting's sake. You will support Finance and Operations leadership by identifying risks, inefficiencies, and opportunities for cost savings across the supply chain. Key responsibilities include: Analyse stock levels, stock movement, and availability across the business, highlighting risks to sales and customer experience Identify patterns leading to overstocking, stockouts, and inefficiencies Own reporting on order cancellations and refunds, identifying root causes such as stock issues, fulfilment delays, or system errors Track trends over time and flag issues before they escalate Quantify the commercial impact of cancellations, lost revenue, and avoidable cost Produce regular, clear reporting for Finance and senior leadership teams Identify cost leakage across operations and fulfilment, supporting margin improvement Support decisions around warehouse efficiency, logistics performance, and service levels Improve data accuracy and consistency across finance, operations, and e-commerce systems Help shift the business from reactive reporting to proactive, insight-led decision-making This role works closely with Finance, Operations, E-commerce, and Customer Service teams and offers high exposure to commercial decision-making. About You This role is well suited to a strong graduate or junior analyst looking to build a career in a commercial finance environment. A strong analytical or numerical background (e.g. Maths, Statistics, Economics, Finance, Data Science, or similar) Experience working with data in a professional, placement, or internship environment Strong Excel or Google Sheets skills The ability to interpret data and explain financial insight clearly to non-technical stakeholders Enjoys problem-solving and asking "why" Is comfortable working with imperfect data in a fast-moving business What's on Offer A hands-on, commercially focused finance role Close exposure to senior leadership and operational decision-making Opportunity to make a visible impact quickly Supportive, collaborative working culture Up to 32,000 and benefits package Zachary Daniels and our client are both equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Zachary Daniels is a Niche, National & International Recruitment Consultancy. Specialising in Buying, Merchandising & Ecommerce Design, Technical, Wholesale & Production Finance HR & Talent H&S & Compliance Marketing, Digital & Technology Property & Centre Management Retail, Trade, Leisure & Wholesale Operations Senior Appointments & Exec Sales Supply Chain & Logistics BBBH35304
Jan 21, 2026
Full time
Finance Analyst - Stock & Operations Manchester 28,000 - 32,000 + benefits Onsite Consumer / E-commerce / Retail This is an exciting opportunity to join a fast-growing, founder-led consumer business operating at significant scale. The company is experiencing rapid growth driven by digital and social commerce demand, creating complexity across stock management, fulfilment, and operational decision-making. The business is fast-paced, entrepreneurial, and highly commercial. This role sits close to senior decision-makers and focuses on turning financial and operational data into insight that directly impacts margin, cost control, and customer experience. The Role This is a newly created Finance Analyst role designed to improve visibility and decision-making across stock, cancellations, and operational performance. The focus is on actionable insight rather than reporting for reporting's sake. You will support Finance and Operations leadership by identifying risks, inefficiencies, and opportunities for cost savings across the supply chain. Key responsibilities include: Analyse stock levels, stock movement, and availability across the business, highlighting risks to sales and customer experience Identify patterns leading to overstocking, stockouts, and inefficiencies Own reporting on order cancellations and refunds, identifying root causes such as stock issues, fulfilment delays, or system errors Track trends over time and flag issues before they escalate Quantify the commercial impact of cancellations, lost revenue, and avoidable cost Produce regular, clear reporting for Finance and senior leadership teams Identify cost leakage across operations and fulfilment, supporting margin improvement Support decisions around warehouse efficiency, logistics performance, and service levels Improve data accuracy and consistency across finance, operations, and e-commerce systems Help shift the business from reactive reporting to proactive, insight-led decision-making This role works closely with Finance, Operations, E-commerce, and Customer Service teams and offers high exposure to commercial decision-making. About You This role is well suited to a strong graduate or junior analyst looking to build a career in a commercial finance environment. A strong analytical or numerical background (e.g. Maths, Statistics, Economics, Finance, Data Science, or similar) Experience working with data in a professional, placement, or internship environment Strong Excel or Google Sheets skills The ability to interpret data and explain financial insight clearly to non-technical stakeholders Enjoys problem-solving and asking "why" Is comfortable working with imperfect data in a fast-moving business What's on Offer A hands-on, commercially focused finance role Close exposure to senior leadership and operational decision-making Opportunity to make a visible impact quickly Supportive, collaborative working culture Up to 32,000 and benefits package Zachary Daniels and our client are both equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Zachary Daniels is a Niche, National & International Recruitment Consultancy. Specialising in Buying, Merchandising & Ecommerce Design, Technical, Wholesale & Production Finance HR & Talent H&S & Compliance Marketing, Digital & Technology Property & Centre Management Retail, Trade, Leisure & Wholesale Operations Senior Appointments & Exec Sales Supply Chain & Logistics BBBH35304
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - Engine careers page - careers/ We're looking for Engineers who can lead and inspire teams, collaborating to spearhead the development of the Engine platform for clients all over the world. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women in Tech . Running a Backend Team Day in the Life of a Software Engineer Check out our shiny new Engineering careers page As a Staff Engineer you will: Coach, mentor, and grow a high-performing team, ensuring their well-being as they work on high-impact solutions that bring value to Engine and our customers. Have the opportunity to lead multiple complex projects from inception through to run Get hands-on when needed, using your strong system design skills to help the team make smart architectural decisions and unblock complex challenges. Take ownership of technical challenges critical to the success of the business Identify where existing tooling, applications, or processes can be enhanced and deliver innovative change Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals Obtain a wide and varied understanding of how banks operate around the world Shape the future capabilities of Engine, including our approach, tooling, automation and architecture. Lead by example in your contributions to the codebase, setting a high bar for others to aim for Champion a healthy engineering culture built on continuous improvement, technical excellence, and a focus on the customer. As an Engineer you will: Contribute to our award winning platform and internal tooling Build new features and products from scratch in a configurable way Share your knowledge with those around you, contributing to our learning culture Own your projects, working in small teams across the bank to collaboratively deliver Aim for greatness in everything you do, staying curious and inquisitive Be part of a scaling team and organisation as we change banking for good Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We are very open about how we deliver software. For the most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. As a Staff Engineer you will bring the below experience or knowledge: Proven experience leading and mentoring high-performing engineering teams. Delivering change to critical systems in a distributed environment Be a highly proficient developer, maintaining a high standard for technical and coding excellence in the collective, through your own work Good understanding of DevOps practices Delivering complex outcomes across multiple domains and teams Working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business Coaching and mentoring members of a team to upskill and develop them in their career Leading the technical delivery on large scale projects to successful completion The main part of our Backend Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with a Staff or Principal Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical & Leadership interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO / Engineering Director / Principal Engineer 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information. Requirements Benefits
Jan 21, 2026
Full time
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - Engine careers page - careers/ We're looking for Engineers who can lead and inspire teams, collaborating to spearhead the development of the Engine platform for clients all over the world. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women in Tech . Running a Backend Team Day in the Life of a Software Engineer Check out our shiny new Engineering careers page As a Staff Engineer you will: Coach, mentor, and grow a high-performing team, ensuring their well-being as they work on high-impact solutions that bring value to Engine and our customers. Have the opportunity to lead multiple complex projects from inception through to run Get hands-on when needed, using your strong system design skills to help the team make smart architectural decisions and unblock complex challenges. Take ownership of technical challenges critical to the success of the business Identify where existing tooling, applications, or processes can be enhanced and deliver innovative change Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals Obtain a wide and varied understanding of how banks operate around the world Shape the future capabilities of Engine, including our approach, tooling, automation and architecture. Lead by example in your contributions to the codebase, setting a high bar for others to aim for Champion a healthy engineering culture built on continuous improvement, technical excellence, and a focus on the customer. As an Engineer you will: Contribute to our award winning platform and internal tooling Build new features and products from scratch in a configurable way Share your knowledge with those around you, contributing to our learning culture Own your projects, working in small teams across the bank to collaboratively deliver Aim for greatness in everything you do, staying curious and inquisitive Be part of a scaling team and organisation as we change banking for good Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We are very open about how we deliver software. For the most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. As a Staff Engineer you will bring the below experience or knowledge: Proven experience leading and mentoring high-performing engineering teams. Delivering change to critical systems in a distributed environment Be a highly proficient developer, maintaining a high standard for technical and coding excellence in the collective, through your own work Good understanding of DevOps practices Delivering complex outcomes across multiple domains and teams Working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business Coaching and mentoring members of a team to upskill and develop them in their career Leading the technical delivery on large scale projects to successful completion The main part of our Backend Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with a Staff or Principal Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical & Leadership interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO / Engineering Director / Principal Engineer 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information. Requirements Benefits
Harvest Manager I am seeking an experienced Harvest Manager to take full responsibility for the planning, organisation and delivery of the harvest operation for a grower based in Chichester. The Role Reporting to the Production Manager, you will lead the harvest team and manage all aspects of harvest activity, ensuring produce is picked, handled and delivered safely, efficiently and to the highest quality standards. Key Responsibilities Plan and manage harvest operations, labour and logistics Produce short- and medium-term harvest plans and forecasts Lead, motivate and manage harvest teams and team leaders Set picking rates and monitor earnings in line with company policy Ensure quality, food safety, legality and shelf life standards are met Oversee chilling, handling and communication with the packhouse Control harvest costs, budgets and accurate record-keeping Support other departments outside the main harvest season as required About You At least 2 years' experience in the soft fruit industry Proven team management experience Strong organisational and communication skills Competent with basic computer systems Flexible with working hours during peak periods This is a hands-on leadership role for someone who enjoys responsibility, problem-solving and working in a fast-paced harvest environment. Benefits Opportunity to work for an innovative, growing business. Salary to 44k doe 5% bonus Private Healthcare WR Engineering are the recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent jobs UK wide. WR is acting as an Employment Agency in relation to this vacancy.
Jan 21, 2026
Full time
Harvest Manager I am seeking an experienced Harvest Manager to take full responsibility for the planning, organisation and delivery of the harvest operation for a grower based in Chichester. The Role Reporting to the Production Manager, you will lead the harvest team and manage all aspects of harvest activity, ensuring produce is picked, handled and delivered safely, efficiently and to the highest quality standards. Key Responsibilities Plan and manage harvest operations, labour and logistics Produce short- and medium-term harvest plans and forecasts Lead, motivate and manage harvest teams and team leaders Set picking rates and monitor earnings in line with company policy Ensure quality, food safety, legality and shelf life standards are met Oversee chilling, handling and communication with the packhouse Control harvest costs, budgets and accurate record-keeping Support other departments outside the main harvest season as required About You At least 2 years' experience in the soft fruit industry Proven team management experience Strong organisational and communication skills Competent with basic computer systems Flexible with working hours during peak periods This is a hands-on leadership role for someone who enjoys responsibility, problem-solving and working in a fast-paced harvest environment. Benefits Opportunity to work for an innovative, growing business. Salary to 44k doe 5% bonus Private Healthcare WR Engineering are the recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent jobs UK wide. WR is acting as an Employment Agency in relation to this vacancy.
We re hiring for a Production Manager to join a growing engineering business based in Stockport, Greater Manchester. This is a fantastic opportunity for someone with CNC experience to take the reins of a busy, multi-department production team and play a key role in driving output, quality and process improvements across the shop floor. What s on offer? £50k- £55k p/a Mon Fri 8am 5pm Early finish on Fridays 23 days holiday (plus bank holidays) Annual bonus Pension contribution scheme What will you be doing as a Production Manager? Leading daily operations across the CNC workshop, assembly and finishing teams Producing and optimising CAM programs and CNC workflows Planning production schedules to meet demand Implementing quality assurance and resolving quality issues quickly Mentoring and motivating a team of 8+ engineers Championing continuous improvement and best practices Working closely with the engineering and procurement teams to manage inventory, tooling and process improvements Managing apprenticeships and supporting staff development What do you need? Previous experience in a manufacturing or engineering environment Strong leadership and team management skills Hands-on CNC machining experience including CNC Milling Centres, CNC Lathes and Manual Lathes Working knowledge of CAM software such as Edgecam (or similar) Understanding of lean manufacturing principles and ERP systems (SAP/other) Apply today or speak with Sadiye at KPJ Group for more information between 9:00am 5:00pm Monday Friday. KPJ Group are a specialist Recruitment Consultancy with more than 50 years of experience delivering staffing solutions. We treat each application with a high degree of care however due to the high volume of applications are sometimes unable to contact all individuals. If you do not hear from us within 5 days of submitting your application, please assume that unfortunately you have not been shortlisted.
Jan 21, 2026
Full time
We re hiring for a Production Manager to join a growing engineering business based in Stockport, Greater Manchester. This is a fantastic opportunity for someone with CNC experience to take the reins of a busy, multi-department production team and play a key role in driving output, quality and process improvements across the shop floor. What s on offer? £50k- £55k p/a Mon Fri 8am 5pm Early finish on Fridays 23 days holiday (plus bank holidays) Annual bonus Pension contribution scheme What will you be doing as a Production Manager? Leading daily operations across the CNC workshop, assembly and finishing teams Producing and optimising CAM programs and CNC workflows Planning production schedules to meet demand Implementing quality assurance and resolving quality issues quickly Mentoring and motivating a team of 8+ engineers Championing continuous improvement and best practices Working closely with the engineering and procurement teams to manage inventory, tooling and process improvements Managing apprenticeships and supporting staff development What do you need? Previous experience in a manufacturing or engineering environment Strong leadership and team management skills Hands-on CNC machining experience including CNC Milling Centres, CNC Lathes and Manual Lathes Working knowledge of CAM software such as Edgecam (or similar) Understanding of lean manufacturing principles and ERP systems (SAP/other) Apply today or speak with Sadiye at KPJ Group for more information between 9:00am 5:00pm Monday Friday. KPJ Group are a specialist Recruitment Consultancy with more than 50 years of experience delivering staffing solutions. We treat each application with a high degree of care however due to the high volume of applications are sometimes unable to contact all individuals. If you do not hear from us within 5 days of submitting your application, please assume that unfortunately you have not been shortlisted.
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for people who are will be excited by the potential for Engine's technology to transform banking in different markets around the world. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - We're looking for Backend Software Engineers to work on the Engine Platform and make our existing features work for banks all over the world as well as building new features from scratch that Starling hasn't released in the UK market. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women In Tech . Day in the Life of a Software Engineer Running a Backend Team Check out our shiny new Engineering careers page We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they can make to banking around the world. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Engine, to continue changing banking for good. As a Staff Engineer you will: Have the opportunity to lead multiple complex projects from inception through to run Be a Technical Leader, whether that be with a team to manage or without Take ownership of technical challenges critical to the success of the business Identify where existing tooling, applications, or processes can be enhanced and deliver innovative change Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals Obtain a wide and varied understanding of how banks operate around the world Shape the future capabilities of Engine, including our approach, tooling, automation and architecture. Lead by example in your contributions to the codebase, setting a high bar for others to aim for As an Engineer you will: Contribute to our award winning platform and internal tooling Build new features and products from scratch in a configurable way Share your knowledge with those around you, contributing to our learning culture Own your projects, working in small teams across the bank to collaboratively deliver Aim for greatness in everything you do, staying curious and inquisitive Be part of a scaling team and organisation as we change banking for good Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We are very open about how we deliver software. For the most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. As a Staff Engineer you will bring the below experience or knowledge: Delivering change to critical systems in a distributed environment Be a highly proficient developer, maintaining a high standard for technical and coding excellence in the collective, through your own work Good understanding of DevOps practices Delivering complex outcomes across multiple domains and teams Working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business Coaching and mentoring members of a team to upskill and develop them in their career Leading the technical delivery on large scale projects to successful completion The main part of our Backend Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Jan 21, 2026
Full time
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for people who are will be excited by the potential for Engine's technology to transform banking in different markets around the world. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - We're looking for Backend Software Engineers to work on the Engine Platform and make our existing features work for banks all over the world as well as building new features from scratch that Starling hasn't released in the UK market. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women In Tech . Day in the Life of a Software Engineer Running a Backend Team Check out our shiny new Engineering careers page We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they can make to banking around the world. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Engine, to continue changing banking for good. As a Staff Engineer you will: Have the opportunity to lead multiple complex projects from inception through to run Be a Technical Leader, whether that be with a team to manage or without Take ownership of technical challenges critical to the success of the business Identify where existing tooling, applications, or processes can be enhanced and deliver innovative change Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals Obtain a wide and varied understanding of how banks operate around the world Shape the future capabilities of Engine, including our approach, tooling, automation and architecture. Lead by example in your contributions to the codebase, setting a high bar for others to aim for As an Engineer you will: Contribute to our award winning platform and internal tooling Build new features and products from scratch in a configurable way Share your knowledge with those around you, contributing to our learning culture Own your projects, working in small teams across the bank to collaboratively deliver Aim for greatness in everything you do, staying curious and inquisitive Be part of a scaling team and organisation as we change banking for good Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We are very open about how we deliver software. For the most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. As a Staff Engineer you will bring the below experience or knowledge: Delivering change to critical systems in a distributed environment Be a highly proficient developer, maintaining a high standard for technical and coding excellence in the collective, through your own work Good understanding of DevOps practices Delivering complex outcomes across multiple domains and teams Working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business Coaching and mentoring members of a team to upskill and develop them in their career Leading the technical delivery on large scale projects to successful completion The main part of our Backend Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Job Description: SECURITY CLEARANCE: You will be subject to BPSS and Export Control checks (including a criminal record check) TRAVEL REQUIRED: Occasional travel within UK/EU LOCATION: Belfast TYPE : Full time WHAT'S IN IT FOR YOU Financial Reward: Competitive salary, annual profit share, contributory pension, share options, Work / Life Balance: 36 hour week, flexible working around core hours and Friday afternoons off, flexible working Overview Reporting to the Production Support Leader, the successful candidate's responsibilities will include: Controlling and maintaining consumable materials and tooling Liaison with Facilities and Services to ensure adherence to agreed Service Level Agreements and delivery requirements. Management interface between Tool Control Centre and Operations (Calibration Process). Support Capex projects and facility improvements Assessing continuous improvement opportunities and implementing new process in line with lean manufacturing principles. Support Safety engineer with regard to compliance to health, safety & environmental issues NPO analysis, control and reporting. Support and maintenance of lean manufacturing system. 5C/housekeeping. Visual management process Process improvement activity. Key Attributes: The ideal candidate will be able to demonstrate the following: General knowledge and experience of the aircraft assembly tools and techniques that apply to the stage to which you're applying. Experience of tooling and site procedures. The ability to investigate and to introduce continuous improvement ideas. Practical competence of current 'PC' based packages (essential) and experience of mainframe SAP (desirable). Knowledge of Lean systems. The successful candidate will be qualified to HNC/HND level and or have relevant experience to an equivalent depth and breadth. The role will involve working within a dedicated team to plan and prioritise workloads alongside the maintenance of effective customer and supplier relationships and, as such, will require the following behavioural competencies to be demonstrated: Innovation & Problem Solving Direction & Purpose Drive & Commitment Two Way Communication Customer Focus Teamworking Not a 100% match? No worries! Airbus supports your personal growth with customised development solution s. We employ people from all sections of the community and are committed to the appointment of the best candidate based upon the merit principle alone. In pursuit of our equal opportunities programme, we would particularly welcome more applications from Catholics and females, as these groups are currently under-represented in our workforce HOW WE CAN SUPPORT YOU Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we'll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process - you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence. As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To 'opt in', just select the option during your application submission and your application will be considered accordingly. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Belfast Limited Employment Type: Permanent - Experience Level: Professional Job Family: Production Planning & Scheduling By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Jan 21, 2026
Full time
Job Description: SECURITY CLEARANCE: You will be subject to BPSS and Export Control checks (including a criminal record check) TRAVEL REQUIRED: Occasional travel within UK/EU LOCATION: Belfast TYPE : Full time WHAT'S IN IT FOR YOU Financial Reward: Competitive salary, annual profit share, contributory pension, share options, Work / Life Balance: 36 hour week, flexible working around core hours and Friday afternoons off, flexible working Overview Reporting to the Production Support Leader, the successful candidate's responsibilities will include: Controlling and maintaining consumable materials and tooling Liaison with Facilities and Services to ensure adherence to agreed Service Level Agreements and delivery requirements. Management interface between Tool Control Centre and Operations (Calibration Process). Support Capex projects and facility improvements Assessing continuous improvement opportunities and implementing new process in line with lean manufacturing principles. Support Safety engineer with regard to compliance to health, safety & environmental issues NPO analysis, control and reporting. Support and maintenance of lean manufacturing system. 5C/housekeeping. Visual management process Process improvement activity. Key Attributes: The ideal candidate will be able to demonstrate the following: General knowledge and experience of the aircraft assembly tools and techniques that apply to the stage to which you're applying. Experience of tooling and site procedures. The ability to investigate and to introduce continuous improvement ideas. Practical competence of current 'PC' based packages (essential) and experience of mainframe SAP (desirable). Knowledge of Lean systems. The successful candidate will be qualified to HNC/HND level and or have relevant experience to an equivalent depth and breadth. The role will involve working within a dedicated team to plan and prioritise workloads alongside the maintenance of effective customer and supplier relationships and, as such, will require the following behavioural competencies to be demonstrated: Innovation & Problem Solving Direction & Purpose Drive & Commitment Two Way Communication Customer Focus Teamworking Not a 100% match? No worries! Airbus supports your personal growth with customised development solution s. We employ people from all sections of the community and are committed to the appointment of the best candidate based upon the merit principle alone. In pursuit of our equal opportunities programme, we would particularly welcome more applications from Catholics and females, as these groups are currently under-represented in our workforce HOW WE CAN SUPPORT YOU Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we'll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process - you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence. As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To 'opt in', just select the option during your application submission and your application will be considered accordingly. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Belfast Limited Employment Type: Permanent - Experience Level: Professional Job Family: Production Planning & Scheduling By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Job Title: CNC Manufacturing Team Lead Location: Bedford Salary: Up to 42,550 - We are booking interviews next week! Please call or email for a slot We are seeking an experienced CNC Manufacturing Team Lead to join our team in Bedford. This is a hybrid leadership and hands-on role, operating within a low-volume, high-value, precision machining environment, producing critical hardware and R&D components. You will lead and develop a team of skilled CNC machinists while remaining technically active on the shop floor, supporting complex, one-off and small-batch manufacturing activities. About Us: As a distinguished leader in the defence engineering industry, we are dedicated to delivering innovative solutions and pioneering projects. Our commitment to excellence has earned us a strong reputation, and we're looking for a talented CNC Manufacturing Team Lead to contribute to our continued success. The Role: So, what will you be doing as a CNC Manufacturing Team Lead ? Leadership & Team Management (Primary Focus) Lead, coach and supervise a team of up to 10 CNC machinists and technicians Own and manage a production cell, ensuring safety, quality, delivery and cost targets are achieved Plan, schedule and prioritise workloads to meet programme milestones and customer deadlines Conduct performance reviews, mentoring and skills development (including apprentices) Promote a strong safety culture, ensuring compliance with HSE, 6S and FOD control Track and deliver key KPIs including Safety, Quality, Cost, Schedule Adherence and On-Time Delivery Lead root cause analysis and corrective action activities Drive continuous improvement initiatives (lean manufacturing, process optimisation, cost reduction) Collaborate closely with Manufacturing Engineering, Design, Quality, Planning and Materials teams Provide manufacturability feedback to engineering teams to improve efficiency and reduce cycle times Support load balancing and best-practice sharing across the wider manufacturing function CNC Machining & Technical Support Hands-on CNC programming, machine setup, tooling selection and proving out Operate multi-axis CNC machining centres (3-6 axis) Produce high-value, complex, one-off or low-volume components to engineering drawings Support development of machining processes, tooling and fixture design Liaise with tooling suppliers to optimise tool selection and performance Troubleshoot machine and process issues and implement corrective actions Develop and improve work instructions and procedures with engineering teams What are we looking for in our next CNC Manufacturing Team Lead? Proven hands-on CNC machining background (milling or turning) Strong preference for 5-axis CNC milling experience Experience leading or supervising CNC teams in a precision machining environment Background in complex, low-volume or one-off component manufacture (not high-speed mass production) Ability to read and work from detailed engineering drawings and specifications Strong problem-solving skills and attention to quality Comfortable working in a safety-critical, regulated environment Machinery & Programming Experience Machines may include: Matsuura Correa Anayak Hurco Programming Languages / Controls: Fanuc Heidenhain (Hypermill experience beneficial but not essential) My client is keen to get this position filled ASAP, so if you feel you have the skills and desire to provide passion and drive as the next CNC Manufacturing Team Lead, this is the opportunity for you! How to Apply: Showcase your expertise and passion for leading teams. Submit your updated resume and a cover letter outlining your experience and enthusiasm for joining our team in Bedford. PLEASE NOTE Security Clearance (SC) or eligibility to gain is required to be considered for this vacancy Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Jan 21, 2026
Full time
Job Title: CNC Manufacturing Team Lead Location: Bedford Salary: Up to 42,550 - We are booking interviews next week! Please call or email for a slot We are seeking an experienced CNC Manufacturing Team Lead to join our team in Bedford. This is a hybrid leadership and hands-on role, operating within a low-volume, high-value, precision machining environment, producing critical hardware and R&D components. You will lead and develop a team of skilled CNC machinists while remaining technically active on the shop floor, supporting complex, one-off and small-batch manufacturing activities. About Us: As a distinguished leader in the defence engineering industry, we are dedicated to delivering innovative solutions and pioneering projects. Our commitment to excellence has earned us a strong reputation, and we're looking for a talented CNC Manufacturing Team Lead to contribute to our continued success. The Role: So, what will you be doing as a CNC Manufacturing Team Lead ? Leadership & Team Management (Primary Focus) Lead, coach and supervise a team of up to 10 CNC machinists and technicians Own and manage a production cell, ensuring safety, quality, delivery and cost targets are achieved Plan, schedule and prioritise workloads to meet programme milestones and customer deadlines Conduct performance reviews, mentoring and skills development (including apprentices) Promote a strong safety culture, ensuring compliance with HSE, 6S and FOD control Track and deliver key KPIs including Safety, Quality, Cost, Schedule Adherence and On-Time Delivery Lead root cause analysis and corrective action activities Drive continuous improvement initiatives (lean manufacturing, process optimisation, cost reduction) Collaborate closely with Manufacturing Engineering, Design, Quality, Planning and Materials teams Provide manufacturability feedback to engineering teams to improve efficiency and reduce cycle times Support load balancing and best-practice sharing across the wider manufacturing function CNC Machining & Technical Support Hands-on CNC programming, machine setup, tooling selection and proving out Operate multi-axis CNC machining centres (3-6 axis) Produce high-value, complex, one-off or low-volume components to engineering drawings Support development of machining processes, tooling and fixture design Liaise with tooling suppliers to optimise tool selection and performance Troubleshoot machine and process issues and implement corrective actions Develop and improve work instructions and procedures with engineering teams What are we looking for in our next CNC Manufacturing Team Lead? Proven hands-on CNC machining background (milling or turning) Strong preference for 5-axis CNC milling experience Experience leading or supervising CNC teams in a precision machining environment Background in complex, low-volume or one-off component manufacture (not high-speed mass production) Ability to read and work from detailed engineering drawings and specifications Strong problem-solving skills and attention to quality Comfortable working in a safety-critical, regulated environment Machinery & Programming Experience Machines may include: Matsuura Correa Anayak Hurco Programming Languages / Controls: Fanuc Heidenhain (Hypermill experience beneficial but not essential) My client is keen to get this position filled ASAP, so if you feel you have the skills and desire to provide passion and drive as the next CNC Manufacturing Team Lead, this is the opportunity for you! How to Apply: Showcase your expertise and passion for leading teams. Submit your updated resume and a cover letter outlining your experience and enthusiasm for joining our team in Bedford. PLEASE NOTE Security Clearance (SC) or eligibility to gain is required to be considered for this vacancy Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
About The Role: An established, mid-sized multidisciplinary creative studio, renowned for delivering complex, large-scale brand experiences, events and permanent installations, is seeking an experienced Head of Technical Production to join its team in London. This is a pivotal role with overall responsibility for the technical and production delivery of high-profile projects internationally, spanning live events, exhibitions and architectural installations. Working closely with creative leadership, senior producers and directors, you will ensure projects are delivered to the highest technical, safety and quality standards, on time and within budget. The successful candidate will be a highly experienced technical leader who has spent the majority of their career within the events or closely associated industries, and who brings deep, hands-on expertise across complex build environments. You will combine strategic oversight with practical problem-solving, confidently leading in-house teams while driving production excellence across all disciplines. Our client offers a collaborative, ambitious studio culture where high standards, creativity and teamwork sit at the core. The role comes with a competitive salary, performance-related incentives, long-term growth opportunities and a considered benefits package, alongside a studio-led, hands-on way of working and international exposure. Key Responsibilities: Lead, mentor and develop the in-house technical production team, fostering a collaborative, high-performing culture with clear reporting lines to director level Take full ownership of the technical delivery of multiple complex projects concurrently, ensuring seamless coordination across design, production and installation Work closely with creative leads, producers and clients to interpret project briefs and translate them into robust, tailored technical solutions Oversee large-scale scenic and experiential builds, including metalwork, CNC fabrication, GRP casting, carpentry and specialist finishes Manage integrated technical scopes including mappable LED lighting, power infrastructure, theatrical lighting, audio, video, staging, rigging, logistics and site operations Develop, manage and report on detailed production schedules, budgets, resource plans and risk assessments Establish and maintain rigorous quality control and H&S processes across all phases of delivery Conduct site visits and inspections internationally to monitor progress, resolve technical challenges and ensure compliance with design intent, regulations and best practice Drive innovation in materials, methods and production techniques, continually improving internal systems and workflows Build and manage strong relationships with fabricators, suppliers and subcontractors, negotiating contracts and overseeing performance Key Skills / Experience: Minimum 10+ years' experience in senior technical or production management roles, with at least 5 years operating at senior leadership level (e.g. Senior Production Manager, Technical Director or equivalent) Extensive background in the technical delivery of complex, large-scale projects within the events or related industries Proven experience being solely responsible for managing high-value, technically complex international projects Deep technical knowledge across scenic construction, integrated lighting systems, AV, power, staging and rigging Strong understanding of construction methodologies, materials and technical systems for public-facing and experiential installations Demonstrable experience running an in-house production team with responsibility at director level Proven track record of managing significant budgets and delivering projects to demanding timelines IOSH qualification required; NEBOSH strongly preferred Confident, respected leader with the ability to motivate and manage multidisciplinary technical teams Excellent communication and negotiation skills, comfortable engaging with clients, creatives and suppliers at senior level Highly detail-oriented with a strong commitment to quality, safety and best practice Proficient in production planning, project management and reporting tools To apply for this position please click on the apply button to attach your CV (and portfolio for design positions). By applying for this role, you are confirming that you agree to our Privacy Policy (full details are shown at the bottom of our website), and that all details submitted by you are correct and to the best of your knowledge. The Crowd is an equal opportunities employer and agency.
Jan 21, 2026
Full time
About The Role: An established, mid-sized multidisciplinary creative studio, renowned for delivering complex, large-scale brand experiences, events and permanent installations, is seeking an experienced Head of Technical Production to join its team in London. This is a pivotal role with overall responsibility for the technical and production delivery of high-profile projects internationally, spanning live events, exhibitions and architectural installations. Working closely with creative leadership, senior producers and directors, you will ensure projects are delivered to the highest technical, safety and quality standards, on time and within budget. The successful candidate will be a highly experienced technical leader who has spent the majority of their career within the events or closely associated industries, and who brings deep, hands-on expertise across complex build environments. You will combine strategic oversight with practical problem-solving, confidently leading in-house teams while driving production excellence across all disciplines. Our client offers a collaborative, ambitious studio culture where high standards, creativity and teamwork sit at the core. The role comes with a competitive salary, performance-related incentives, long-term growth opportunities and a considered benefits package, alongside a studio-led, hands-on way of working and international exposure. Key Responsibilities: Lead, mentor and develop the in-house technical production team, fostering a collaborative, high-performing culture with clear reporting lines to director level Take full ownership of the technical delivery of multiple complex projects concurrently, ensuring seamless coordination across design, production and installation Work closely with creative leads, producers and clients to interpret project briefs and translate them into robust, tailored technical solutions Oversee large-scale scenic and experiential builds, including metalwork, CNC fabrication, GRP casting, carpentry and specialist finishes Manage integrated technical scopes including mappable LED lighting, power infrastructure, theatrical lighting, audio, video, staging, rigging, logistics and site operations Develop, manage and report on detailed production schedules, budgets, resource plans and risk assessments Establish and maintain rigorous quality control and H&S processes across all phases of delivery Conduct site visits and inspections internationally to monitor progress, resolve technical challenges and ensure compliance with design intent, regulations and best practice Drive innovation in materials, methods and production techniques, continually improving internal systems and workflows Build and manage strong relationships with fabricators, suppliers and subcontractors, negotiating contracts and overseeing performance Key Skills / Experience: Minimum 10+ years' experience in senior technical or production management roles, with at least 5 years operating at senior leadership level (e.g. Senior Production Manager, Technical Director or equivalent) Extensive background in the technical delivery of complex, large-scale projects within the events or related industries Proven experience being solely responsible for managing high-value, technically complex international projects Deep technical knowledge across scenic construction, integrated lighting systems, AV, power, staging and rigging Strong understanding of construction methodologies, materials and technical systems for public-facing and experiential installations Demonstrable experience running an in-house production team with responsibility at director level Proven track record of managing significant budgets and delivering projects to demanding timelines IOSH qualification required; NEBOSH strongly preferred Confident, respected leader with the ability to motivate and manage multidisciplinary technical teams Excellent communication and negotiation skills, comfortable engaging with clients, creatives and suppliers at senior level Highly detail-oriented with a strong commitment to quality, safety and best practice Proficient in production planning, project management and reporting tools To apply for this position please click on the apply button to attach your CV (and portfolio for design positions). By applying for this role, you are confirming that you agree to our Privacy Policy (full details are shown at the bottom of our website), and that all details submitted by you are correct and to the best of your knowledge. The Crowd is an equal opportunities employer and agency.
Storrington, West Sussex (RH20 3EA) Want to work for a world leading engineering company specialising in the manufacture of high-precision electromagnetic devices for the science and healthcare sectors? At Tesla Engineering Ltd, you can be proud of the part you are playing in addressing important issues such as the diagnosis and treatment of serious illnesses, and research into the fundamental nature of matter and the origins of the universe. Our growing company is enthusiastically looking to recruit highly-motivated, ambitious and committed individuals to join our friendly and supportive machine shop. Purpose: To safely and sustainably machine high quantity production work and low volume project work by achieving a specified level of output in terms of time, quality and cost standards in the build/test of Tesla's products. Duties include the following: To set and operate CNC Machines including programme editing when required under the guidance of the Production Engineer. Ensuring all equipment & tooling is functioning to achieve the required results for the operations undertaken. Ensuring that all work produced meets the specified level of quality. Maintaining a high standard of housekeeping and safe working practices in the section having due regard to the Company's Health & Safety policy. Ensure that accurate and timely booking procedures are maintained with SEIKI AIR and that all the relevant production documentation/records are processed correctly. Inform the Department Cell Leader of any relevant problems which could affect the achievement of the required output, with recommendations as to their solution. Carry out any other reasonable task that is required by the Company. Must haves: Knowledge in one or all languages, FANUC, HEIDENDAIN and MAZATROL. Experience of 3, 4 or 5 Axis Machining operations. An understanding of setups and work holding techniques. Note: There will be times when you may be required to undertake additional tasks, duties and responsibilities within your capabilities. The Company reserves the right to vary your tasks, duties and responsibilities at any time and from time to time according to the needs of the Company's business. However, you will not be assigned to duties or required to perform services which you cannot reasonably perform. There will also be times when you may be asked to transfer, either temporarily or permanently, to an alternative job within the Company. Where this is agreed with you, either on a temporary or a permanent basis, it will be confirmed to you in writing. Shift Pattern: Night Shift - Monday-Thursday 5:30 p.m. - 4:00 a.m. 40 hours per week A career with us means Working alongside supportive and highly experienced colleagues to achieve your potential 6.6 working weeks holiday per leave year (January to December) Career development and training opportunities Group Pension Plan (3% company contribution immediately, then 6.5% after 12 months) Access to Life Assurance (with pension), Osteopath and Mental Health/Well-being services Free onsite parking and electric vehicle charging points Electric vehicle purchase scheme through salary sacrifice after qualifying period Free tea and coffee Free yearly flu vaccination scheme Cycle-to-work scheme, discounted gym membership and a 5-A-Side Football Team Discounted Gym Membership Job Type: Full-time Expected hours: 40 per week Benefits: Company pension Cycle to work scheme Free flu jabs Health & wellbeing programme On-site parking Referral programme Sick pay Schedule: Night shift Ability to commute/relocate: Pulborough RH20 3EA: reliably commute or plan to relocate before starting work (required) Application question(s): 1. Do you require sponsorship now or in the future? - please answer yes or no 2. When does your current Right to Work in the UK expire? Experience: CNC: 4 years (required) Work authorisation: United Kingdom (required) Work Location: In person Reference ID: CNCN25
Jan 21, 2026
Full time
Storrington, West Sussex (RH20 3EA) Want to work for a world leading engineering company specialising in the manufacture of high-precision electromagnetic devices for the science and healthcare sectors? At Tesla Engineering Ltd, you can be proud of the part you are playing in addressing important issues such as the diagnosis and treatment of serious illnesses, and research into the fundamental nature of matter and the origins of the universe. Our growing company is enthusiastically looking to recruit highly-motivated, ambitious and committed individuals to join our friendly and supportive machine shop. Purpose: To safely and sustainably machine high quantity production work and low volume project work by achieving a specified level of output in terms of time, quality and cost standards in the build/test of Tesla's products. Duties include the following: To set and operate CNC Machines including programme editing when required under the guidance of the Production Engineer. Ensuring all equipment & tooling is functioning to achieve the required results for the operations undertaken. Ensuring that all work produced meets the specified level of quality. Maintaining a high standard of housekeeping and safe working practices in the section having due regard to the Company's Health & Safety policy. Ensure that accurate and timely booking procedures are maintained with SEIKI AIR and that all the relevant production documentation/records are processed correctly. Inform the Department Cell Leader of any relevant problems which could affect the achievement of the required output, with recommendations as to their solution. Carry out any other reasonable task that is required by the Company. Must haves: Knowledge in one or all languages, FANUC, HEIDENDAIN and MAZATROL. Experience of 3, 4 or 5 Axis Machining operations. An understanding of setups and work holding techniques. Note: There will be times when you may be required to undertake additional tasks, duties and responsibilities within your capabilities. The Company reserves the right to vary your tasks, duties and responsibilities at any time and from time to time according to the needs of the Company's business. However, you will not be assigned to duties or required to perform services which you cannot reasonably perform. There will also be times when you may be asked to transfer, either temporarily or permanently, to an alternative job within the Company. Where this is agreed with you, either on a temporary or a permanent basis, it will be confirmed to you in writing. Shift Pattern: Night Shift - Monday-Thursday 5:30 p.m. - 4:00 a.m. 40 hours per week A career with us means Working alongside supportive and highly experienced colleagues to achieve your potential 6.6 working weeks holiday per leave year (January to December) Career development and training opportunities Group Pension Plan (3% company contribution immediately, then 6.5% after 12 months) Access to Life Assurance (with pension), Osteopath and Mental Health/Well-being services Free onsite parking and electric vehicle charging points Electric vehicle purchase scheme through salary sacrifice after qualifying period Free tea and coffee Free yearly flu vaccination scheme Cycle-to-work scheme, discounted gym membership and a 5-A-Side Football Team Discounted Gym Membership Job Type: Full-time Expected hours: 40 per week Benefits: Company pension Cycle to work scheme Free flu jabs Health & wellbeing programme On-site parking Referral programme Sick pay Schedule: Night shift Ability to commute/relocate: Pulborough RH20 3EA: reliably commute or plan to relocate before starting work (required) Application question(s): 1. Do you require sponsorship now or in the future? - please answer yes or no 2. When does your current Right to Work in the UK expire? Experience: CNC: 4 years (required) Work authorisation: United Kingdom (required) Work Location: In person Reference ID: CNCN25
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Description Hello, we're Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. To support our growth, we are looking for a Senior Statutory Reporting Manager to join the Group Statutory Reporting team reporting to the Head of Group Statutory Reporting. This role will be instrumental in meeting the Group statutory reporting requirements as the Starling Group expands internationally and considers an IPO. Group statutory reporting encompasses both Starling Bank Limited and Engine by Starling Limited as well as their subsidiaries and branches. This is a senior level position and would suit someone who has significant technical post qualification experience but is looking for a unique challenge as the Group charters into new territories, expands its product ranges and develops cutting-edge technology solutions to meet our customer needs. On an unrivaled growth path, Starling will provide the Senior Statutory Reporting Manager with exposure to a wide range of opportunities to take ownership as well as develop new knowledge. We are looking for a candidate with a strong technical accounting knowledge and proven ability in applying this practically. We also require someone with an analytical mindset, someone who is able to ask thoughtful questions, and looks to identify opportunities for improvement as they arise. Responsibilities : Lead Group Reporting & Consolidation: Own the timely and accurate preparation of the complex, multinational Group consolidation, ensuring compliance with IFRS Manage Financial Reporting: Manage the end-to-end production of certain of the group Annual Report and Accounts (ARA) and interim reports, coordinating all stakeholders and ensuring alignment with listed entity type best practices. Manage External Audit: Serve as one of the primary points of contact for the external auditors, managing the group audit process to ensure a smooth and efficient close. Technical Accounting Leadership: Act as the key technical expert for Group expansion as well as specific other areas. These include IFRS 15, providing guidance on complex SaaS revenue streams and owning the accounting under IFRS 2 for all complex, group-wide share-based payment schemes. Establish Best Practice: Develop, implement, and maintain group accounting policies, driving the adoption of best practices suitable for a listed entity. Process Improvement & Mentorship: Proactively identify and implement improvements to the financial reporting process, while mentoring and developing other team members for readiness for a listed reporting environment. Requirements A Big-4 qualified chartered accountant with at least 10 years PQE in a listed, multinational firm in similar roles Has led IFRS consolidation and audit in a large international group Exposure to an IPO process will be an advantage Proven expertise in the application of complex accounting standards, particularly IFRS 15 (SaaS revenue models preferred) and IFRS 2 (share-based payments) Advanced proficiency with financial tools, including Microsoft Excel, Oracle NetSuite and statutory reporting systems such as W-Desk Workiva Extensive experience writing technical papers for Executive Committees. Experience presenting at Executive Committees would be desirable Excellent presentation and interpersonal skills, capable of influence at senior levels, and being able to hold technical challenges from the auditors A can-do attitude, belief in our vision, and a willingness to roll-up your sleeves and get stuck in wherever required Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Step 1 - In person interview with the Head of Statutory Reporting Step 2 - In person interview with the Group Financial Controller Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Jan 21, 2026
Full time
Description Hello, we're Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. To support our growth, we are looking for a Senior Statutory Reporting Manager to join the Group Statutory Reporting team reporting to the Head of Group Statutory Reporting. This role will be instrumental in meeting the Group statutory reporting requirements as the Starling Group expands internationally and considers an IPO. Group statutory reporting encompasses both Starling Bank Limited and Engine by Starling Limited as well as their subsidiaries and branches. This is a senior level position and would suit someone who has significant technical post qualification experience but is looking for a unique challenge as the Group charters into new territories, expands its product ranges and develops cutting-edge technology solutions to meet our customer needs. On an unrivaled growth path, Starling will provide the Senior Statutory Reporting Manager with exposure to a wide range of opportunities to take ownership as well as develop new knowledge. We are looking for a candidate with a strong technical accounting knowledge and proven ability in applying this practically. We also require someone with an analytical mindset, someone who is able to ask thoughtful questions, and looks to identify opportunities for improvement as they arise. Responsibilities : Lead Group Reporting & Consolidation: Own the timely and accurate preparation of the complex, multinational Group consolidation, ensuring compliance with IFRS Manage Financial Reporting: Manage the end-to-end production of certain of the group Annual Report and Accounts (ARA) and interim reports, coordinating all stakeholders and ensuring alignment with listed entity type best practices. Manage External Audit: Serve as one of the primary points of contact for the external auditors, managing the group audit process to ensure a smooth and efficient close. Technical Accounting Leadership: Act as the key technical expert for Group expansion as well as specific other areas. These include IFRS 15, providing guidance on complex SaaS revenue streams and owning the accounting under IFRS 2 for all complex, group-wide share-based payment schemes. Establish Best Practice: Develop, implement, and maintain group accounting policies, driving the adoption of best practices suitable for a listed entity. Process Improvement & Mentorship: Proactively identify and implement improvements to the financial reporting process, while mentoring and developing other team members for readiness for a listed reporting environment. Requirements A Big-4 qualified chartered accountant with at least 10 years PQE in a listed, multinational firm in similar roles Has led IFRS consolidation and audit in a large international group Exposure to an IPO process will be an advantage Proven expertise in the application of complex accounting standards, particularly IFRS 15 (SaaS revenue models preferred) and IFRS 2 (share-based payments) Advanced proficiency with financial tools, including Microsoft Excel, Oracle NetSuite and statutory reporting systems such as W-Desk Workiva Extensive experience writing technical papers for Executive Committees. Experience presenting at Executive Committees would be desirable Excellent presentation and interpersonal skills, capable of influence at senior levels, and being able to hold technical challenges from the auditors A can-do attitude, belief in our vision, and a willingness to roll-up your sleeves and get stuck in wherever required Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Step 1 - In person interview with the Head of Statutory Reporting Step 2 - In person interview with the Group Financial Controller Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Remote (UK-based) Full-time £106,918 + benefits Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We re a national not-for-profit organisation working in partnership with teachers to create high-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups. Our culture has been independently recognised through: Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling) Escape the City's Top 1% Employers based on anonymous colleague reviews of culture, development, and impact Investors in People Gold - through external accreditation and colleague feedback About the Role Oak is entering a critical new phase. Over the next three years, we will support the implementation of a revised digital national curriculum, deepen adoption of our curriculum resources across schools, and play a leading role in shaping the safe and ethical use of AI in education. We are now seeking a Director of Product to lead this work. This is a senior leadership role responsible for setting and delivering Oak s product strategy across curriculum, platform, data, research, design and AI quality and safety. You will ensure our products deliver real impact for teachers and pupils, are grounded in evidence and pedagogy, and exemplify what a modern, digital public service can be. We welcome applications from candidates with senior leadership experience in education, technology, digital or related fields, including those who have not previously held a formal product title. If this sounds exciting and is something you could thrive on, we want to hear from you. What You ll Be Doing Develop and manage a high-performing Product department, leveraging internal and/or external relationships. Manage the Product department budget (minimum of 6-figures). Accountable for the department's delivery against division and organisation-wide KPIs. Maintain specialist expertise in digital product and strategy development, and be the authority across Oak and, more widely, across the sector. Lead Oak s product strategy and roadmap, ensuring alignment with organisational strategy, user research and evidence. Ensure our products meet high standards for user experience, pedagogy, evidence and AI safety, supported by robust evaluation and insight. Build strong relationships across education, government and technology to ensure Oak s products solve real-world needs ethically, safely and cost-effectively. Member of the Senior Leadership Team. Lead the strategy, planning and model the culture of the organisation. Work in cross-functional and product oriented squads with colleagues from across the organisation, as required. Deputise for the CEO and take on other general responsibilities as required. What We re Looking For 3+ years holding responsibility for product/strategy development across a department/organisation. Experience of being part of a senior or wider leadership team. Experience of recruiting, developing and managing a high performing department. Experience of managing a 6-figure budget and ensuring value for money. Extensive experience using qualitative and quantitative data to guide decisions and measure impact. Proven success leading strategy implementation grounded in user needs, research and evidence. Proven ability to articulate complex or technical concepts to senior stakeholders. Good understanding of education policy and the UK education system (desirable) You will be comfortable working at pace, with a range of digital systems (including proprietary ones as required) and you will continuously look at ways that the team can keep getting better. You will be excellent at working as part of a remote team, building relationships and managing your time effectively. Our Benefits 25 days annual leave, plus one extra day for each year of service (up to 28) Additional Oak closure days over Christmas/New Year 11% employer pension contribution (with no minimum employee contribution) A 36-hour working week, with half-days on Fridays or every other Friday off Fully remote working we ll support your home set-up and offer coworking options if preferred Twice-yearly in-person offsites to collaborate, connect, and have fun A culture that genuinely supports flexibility, autonomy, and trust Inclusion and Belonging We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors. We use the Applied recruitment platform to help reduce bias in our hiring process. Key Info Location: Remote, but you must be based in the UK with the legal right to work here Sponsorship: Unfortunately, we re unable to offer visa sponsorship at this time Closing date: 23:59 on Wednesday, 4 February 2026. We ll be reviewing applications as they come in, and may close the role early If this sounds like the kind of role and team where you could do your life s best work, we d love to hear from you. Next Steps We aim to run a fair, inclusive process that helps people show what they can really do. Stage 1: Apply (via Applied) You ll apply through the Applied platform. Your application will be scored anonymously against the published criteria and reviewed by multiple assessors. Stage 2: Short practical exercise (video) If you progress, we ll send you a short brief and a few suggested technologies you could use. You ll then have time to go away, create a simple prototype or generate an insight in response to the brief, and record a short video walking us through what you have produced and why. This exercise is designed to be accessible to both technical and non-technical candidates, so please don t be put off by it. We are not assessing production quality or technical polish. We see it as an opportunity for you to show us how you approach problems, test ideas, and think differently. Videos will be scored by a group of assessors using clear criteria. Stage 3: Interview A shortlist of candidates will be invited to a competency-based interview, assessed against the criteria set out in the job description. We ll share full details, timelines and support as you progress. We re happy to make reasonable adjustments at any stage. Use of AI in applications You can use AI to help draft your answers, but remember, we are looking for your experiences and insights, not generic or AI-generated responses. We score for specific, real examples and your own judgement. If your answers read like AI output or could describe anyone s experience, they will score poorly. We are receiving excellent responses to our job advertisements. This may lead us to close the role early, so if you are considering applying, then please get your application in early to avoid missing out.
Jan 21, 2026
Full time
Remote (UK-based) Full-time £106,918 + benefits Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We re a national not-for-profit organisation working in partnership with teachers to create high-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups. Our culture has been independently recognised through: Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling) Escape the City's Top 1% Employers based on anonymous colleague reviews of culture, development, and impact Investors in People Gold - through external accreditation and colleague feedback About the Role Oak is entering a critical new phase. Over the next three years, we will support the implementation of a revised digital national curriculum, deepen adoption of our curriculum resources across schools, and play a leading role in shaping the safe and ethical use of AI in education. We are now seeking a Director of Product to lead this work. This is a senior leadership role responsible for setting and delivering Oak s product strategy across curriculum, platform, data, research, design and AI quality and safety. You will ensure our products deliver real impact for teachers and pupils, are grounded in evidence and pedagogy, and exemplify what a modern, digital public service can be. We welcome applications from candidates with senior leadership experience in education, technology, digital or related fields, including those who have not previously held a formal product title. If this sounds exciting and is something you could thrive on, we want to hear from you. What You ll Be Doing Develop and manage a high-performing Product department, leveraging internal and/or external relationships. Manage the Product department budget (minimum of 6-figures). Accountable for the department's delivery against division and organisation-wide KPIs. Maintain specialist expertise in digital product and strategy development, and be the authority across Oak and, more widely, across the sector. Lead Oak s product strategy and roadmap, ensuring alignment with organisational strategy, user research and evidence. Ensure our products meet high standards for user experience, pedagogy, evidence and AI safety, supported by robust evaluation and insight. Build strong relationships across education, government and technology to ensure Oak s products solve real-world needs ethically, safely and cost-effectively. Member of the Senior Leadership Team. Lead the strategy, planning and model the culture of the organisation. Work in cross-functional and product oriented squads with colleagues from across the organisation, as required. Deputise for the CEO and take on other general responsibilities as required. What We re Looking For 3+ years holding responsibility for product/strategy development across a department/organisation. Experience of being part of a senior or wider leadership team. Experience of recruiting, developing and managing a high performing department. Experience of managing a 6-figure budget and ensuring value for money. Extensive experience using qualitative and quantitative data to guide decisions and measure impact. Proven success leading strategy implementation grounded in user needs, research and evidence. Proven ability to articulate complex or technical concepts to senior stakeholders. Good understanding of education policy and the UK education system (desirable) You will be comfortable working at pace, with a range of digital systems (including proprietary ones as required) and you will continuously look at ways that the team can keep getting better. You will be excellent at working as part of a remote team, building relationships and managing your time effectively. Our Benefits 25 days annual leave, plus one extra day for each year of service (up to 28) Additional Oak closure days over Christmas/New Year 11% employer pension contribution (with no minimum employee contribution) A 36-hour working week, with half-days on Fridays or every other Friday off Fully remote working we ll support your home set-up and offer coworking options if preferred Twice-yearly in-person offsites to collaborate, connect, and have fun A culture that genuinely supports flexibility, autonomy, and trust Inclusion and Belonging We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors. We use the Applied recruitment platform to help reduce bias in our hiring process. Key Info Location: Remote, but you must be based in the UK with the legal right to work here Sponsorship: Unfortunately, we re unable to offer visa sponsorship at this time Closing date: 23:59 on Wednesday, 4 February 2026. We ll be reviewing applications as they come in, and may close the role early If this sounds like the kind of role and team where you could do your life s best work, we d love to hear from you. Next Steps We aim to run a fair, inclusive process that helps people show what they can really do. Stage 1: Apply (via Applied) You ll apply through the Applied platform. Your application will be scored anonymously against the published criteria and reviewed by multiple assessors. Stage 2: Short practical exercise (video) If you progress, we ll send you a short brief and a few suggested technologies you could use. You ll then have time to go away, create a simple prototype or generate an insight in response to the brief, and record a short video walking us through what you have produced and why. This exercise is designed to be accessible to both technical and non-technical candidates, so please don t be put off by it. We are not assessing production quality or technical polish. We see it as an opportunity for you to show us how you approach problems, test ideas, and think differently. Videos will be scored by a group of assessors using clear criteria. Stage 3: Interview A shortlist of candidates will be invited to a competency-based interview, assessed against the criteria set out in the job description. We ll share full details, timelines and support as you progress. We re happy to make reasonable adjustments at any stage. Use of AI in applications You can use AI to help draft your answers, but remember, we are looking for your experiences and insights, not generic or AI-generated responses. We score for specific, real examples and your own judgement. If your answers read like AI output or could describe anyone s experience, they will score poorly. We are receiving excellent responses to our job advertisements. This may lead us to close the role early, so if you are considering applying, then please get your application in early to avoid missing out.
Remote (UK-based) Full-time £123,969 + benefits Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We re a national not-for-profit organisation working in partnership with teachers to create high-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups. Our culture has been independently recognised through: Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling) Escape the City's Top 1% Employers based on anonymous colleague reviews of culture, development, and impact Investors in People Gold - through external accreditation and colleague feedback About the Role Oak is entering a critical new phase. Over the next three years, we will support the implementation of a revised national curriculum, deepen adoption of our digital products across schools, and play a leading role in shaping the safe and ethical use of AI in education. We are now seeking a Director of Engineering to lead the technology that underpins this work. This is a senior leadership role with responsibility for Oak s engineering strategy, technical architecture and platform delivery. You will lead engineering teams to build and operate reliable, secure and scalable systems that support teachers at scale and enable innovation across the education sector. You ll work closely with product, design, data, teachers and content leaders to ensure our technology choices are grounded in real classroom needs, strong pedagogy and value for money, while also pushing forward what s possible with the latest approaches and tools. You ll empower teams to get solutions built and products and features shipped. We welcome applications from candidates with senior engineering leadership experience across technology, digital or public service environments, including those who have not previously worked in education. If you re excited by the challenge of building dependable systems that quietly do the heavy lifting for teachers, and shaping how safe AI is used across the sector, we d love to hear from you. What You ll Be Doing Develop and manage a high-performing Engineering department, leveraging internal and/or external relationships Manage the Engineering department budget (minimum of 6-figures) Accountable for the department's delivery against division and organisation-wide KPIs. Set and lead Oak s technical direction, ensuring secure, scalable and high-performing platforms aligned with organisational and product priorities and public sector digital standards. Oversee software engineering, architecture, embedding engineering excellence, operational reliability, strong SDLC practice and continuous improvement, and ensuring compliance with relevant digital, security and data standards (including GDS and GDPR). Lead the implementation of data-intensive and emerging technologies (including AI/ML), ensuring production-ready systems and compliance with Oak s technical and safety requirements. Member of the Senior Leadership Team. Lead the strategy and planning, and model the culture of the organisation. Work in cross-functional and product-oriented squads with colleagues from across the organisation, as required. Deputise for the CEO and take on other general responsibilities as required. What We re Looking For 3+ years experience overseeing engineering or technical capabilities of a department or division. Experience of being part of a senior or wider leadership team. Experience of recruiting, developing and managing a high-performing department Experience of managing a 6-figure budget and ensuring value for money. Extensive experience delivering secure, scalable, high-quality digital services in production environments. Experience implementing and operating data-intensive or emerging technologies (e.g., AI/ML), ensuring safe, reliable and responsible deployment. Experience leading the evolution of engineering systems over time, including evaluating new technologies, scaling cloud-based services, and ensuring high availability, CI/CD maturity and long-term platform resilience. Experience having deployed production ready AI technology (desirable). You will be comfortable working at pace, with a range of digital systems (including proprietary ones as required) and you will continuously look at ways that the team can keep getting better. You will be excellent at working as part of a remote team, building relationships and managing your time effectively. Our Benefits 25 days annual leave, plus one extra day for each year of service (up to 28) Additional Oak closure days over Christmas/New Year 11% employer pension contribution (with no minimum employee contribution) A 36-hour working week, with half-days on Fridays or every other Friday off Fully remote working we ll support your home set-up and offer coworking options if preferred Twice-yearly in-person offsites to collaborate, connect, and have fun A culture that genuinely supports flexibility, autonomy, and trust Inclusion and Belonging We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors. We use the Applied recruitment platform to help reduce bias in our hiring process. Key Info Location: Remote, but you must be based in the UK with the legal right to work here Sponsorship: Unfortunately, we re unable to offer visa sponsorship at this time Closing date: 23:59 on Wednesday, 4 February 2026. We ll be reviewing applications as they come in, and may close the role early If this sounds like the kind of role and team where you could do your life s best work, we d love to hear from you. Next Steps We aim to run a fair, inclusive process that helps people show what they can really do. Stage 1: Apply (via Applied) You ll apply through the Applied platform. Your application will be scored anonymously against the published criteria and reviewed by more than one assessor. Stage 2: Short practical exercise (video) If you progress, we ll send you a short brief and a few suggested technologies you could use. You ll then have time to go away, create a simple prototype or generate an insight in response to the brief, and record a short video walking us through what you have produced and why. For this role, we will be looking for evidence of technical judgement and engineering thinking, for example, how you approach system design, reliability, security, data or AI safety, rather than production quality or polished demos. The exercise is designed to be accessible to candidates who lead engineering teams and may not code day to day. Videos will be scored by a small group of assessors using clear criteria. Stage 3: Interview A shortlist of candidates will be invited to a competency-based interview, assessed against the criteria set out in the job description. We ll share full details, timelines and support as you progress. We re happy to make reasonable adjustments at any stage. Use of AI in applications You can use AI to help draft your answers, but remember, we are looking for your experiences and insights, not generic or AI-generated responses. We score for specific, real examples and your own judgement. If your answers read like AI output or could describe anyone s experience, they will score poorly. We are receiving excellent responses to our job advertisements. This may lead us to close the role early, so if you are considering applying, then please get your application in early to avoid missing out.
Jan 21, 2026
Full time
Remote (UK-based) Full-time £123,969 + benefits Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We re a national not-for-profit organisation working in partnership with teachers to create high-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups. Our culture has been independently recognised through: Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling) Escape the City's Top 1% Employers based on anonymous colleague reviews of culture, development, and impact Investors in People Gold - through external accreditation and colleague feedback About the Role Oak is entering a critical new phase. Over the next three years, we will support the implementation of a revised national curriculum, deepen adoption of our digital products across schools, and play a leading role in shaping the safe and ethical use of AI in education. We are now seeking a Director of Engineering to lead the technology that underpins this work. This is a senior leadership role with responsibility for Oak s engineering strategy, technical architecture and platform delivery. You will lead engineering teams to build and operate reliable, secure and scalable systems that support teachers at scale and enable innovation across the education sector. You ll work closely with product, design, data, teachers and content leaders to ensure our technology choices are grounded in real classroom needs, strong pedagogy and value for money, while also pushing forward what s possible with the latest approaches and tools. You ll empower teams to get solutions built and products and features shipped. We welcome applications from candidates with senior engineering leadership experience across technology, digital or public service environments, including those who have not previously worked in education. If you re excited by the challenge of building dependable systems that quietly do the heavy lifting for teachers, and shaping how safe AI is used across the sector, we d love to hear from you. What You ll Be Doing Develop and manage a high-performing Engineering department, leveraging internal and/or external relationships Manage the Engineering department budget (minimum of 6-figures) Accountable for the department's delivery against division and organisation-wide KPIs. Set and lead Oak s technical direction, ensuring secure, scalable and high-performing platforms aligned with organisational and product priorities and public sector digital standards. Oversee software engineering, architecture, embedding engineering excellence, operational reliability, strong SDLC practice and continuous improvement, and ensuring compliance with relevant digital, security and data standards (including GDS and GDPR). Lead the implementation of data-intensive and emerging technologies (including AI/ML), ensuring production-ready systems and compliance with Oak s technical and safety requirements. Member of the Senior Leadership Team. Lead the strategy and planning, and model the culture of the organisation. Work in cross-functional and product-oriented squads with colleagues from across the organisation, as required. Deputise for the CEO and take on other general responsibilities as required. What We re Looking For 3+ years experience overseeing engineering or technical capabilities of a department or division. Experience of being part of a senior or wider leadership team. Experience of recruiting, developing and managing a high-performing department Experience of managing a 6-figure budget and ensuring value for money. Extensive experience delivering secure, scalable, high-quality digital services in production environments. Experience implementing and operating data-intensive or emerging technologies (e.g., AI/ML), ensuring safe, reliable and responsible deployment. Experience leading the evolution of engineering systems over time, including evaluating new technologies, scaling cloud-based services, and ensuring high availability, CI/CD maturity and long-term platform resilience. Experience having deployed production ready AI technology (desirable). You will be comfortable working at pace, with a range of digital systems (including proprietary ones as required) and you will continuously look at ways that the team can keep getting better. You will be excellent at working as part of a remote team, building relationships and managing your time effectively. Our Benefits 25 days annual leave, plus one extra day for each year of service (up to 28) Additional Oak closure days over Christmas/New Year 11% employer pension contribution (with no minimum employee contribution) A 36-hour working week, with half-days on Fridays or every other Friday off Fully remote working we ll support your home set-up and offer coworking options if preferred Twice-yearly in-person offsites to collaborate, connect, and have fun A culture that genuinely supports flexibility, autonomy, and trust Inclusion and Belonging We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors. We use the Applied recruitment platform to help reduce bias in our hiring process. Key Info Location: Remote, but you must be based in the UK with the legal right to work here Sponsorship: Unfortunately, we re unable to offer visa sponsorship at this time Closing date: 23:59 on Wednesday, 4 February 2026. We ll be reviewing applications as they come in, and may close the role early If this sounds like the kind of role and team where you could do your life s best work, we d love to hear from you. Next Steps We aim to run a fair, inclusive process that helps people show what they can really do. Stage 1: Apply (via Applied) You ll apply through the Applied platform. Your application will be scored anonymously against the published criteria and reviewed by more than one assessor. Stage 2: Short practical exercise (video) If you progress, we ll send you a short brief and a few suggested technologies you could use. You ll then have time to go away, create a simple prototype or generate an insight in response to the brief, and record a short video walking us through what you have produced and why. For this role, we will be looking for evidence of technical judgement and engineering thinking, for example, how you approach system design, reliability, security, data or AI safety, rather than production quality or polished demos. The exercise is designed to be accessible to candidates who lead engineering teams and may not code day to day. Videos will be scored by a small group of assessors using clear criteria. Stage 3: Interview A shortlist of candidates will be invited to a competency-based interview, assessed against the criteria set out in the job description. We ll share full details, timelines and support as you progress. We re happy to make reasonable adjustments at any stage. Use of AI in applications You can use AI to help draft your answers, but remember, we are looking for your experiences and insights, not generic or AI-generated responses. We score for specific, real examples and your own judgement. If your answers read like AI output or could describe anyone s experience, they will score poorly. We are receiving excellent responses to our job advertisements. This may lead us to close the role early, so if you are considering applying, then please get your application in early to avoid missing out.
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
Jan 21, 2026
Full time
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There 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.
