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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Posted Thursday 12 February 2026 at 01:00 Do you have previous security experience and excellent communication skills? Do you provide exceptional customer service and maintain a professional demeanour at all times? Can you keep a positive mindset with any challenge that comes your way? Apply now! We are recruiting a professional and highly motivated Security Officer to support the daily operation of a fast paced, client focused site. This role is ideal for someone who thrives in a dynamic environment, takes pride in their presentation, and consistently demonstrates a positive, approachable attitude. The Security Officer will play a key role in maintaining site security while delivering a high standard of customer service. The client has a strong expectation around professionalism, appearance, and attitude, and the successful candidate must be able to always represent the security team and the client to the highest standard. Role Security Officer - Pay Rate: £15.58 per hour - Shift Pattern: Monday - Friday (60 hours) - Location: EC3M, London - Role Requirements: SIA License Benefits include Financial support for SIA Licensing and renewal Cycle to work salary sacrifice scheme Company Pension scheme Life Assurance benefits Progression, training, and development opportunities Additional benefits via our ReWard membership Discounted gym membership Discounts at major retailers and travel suppliers Restaurant and Supermarket vouchers Cinema tickets Access to 24/7 free Employee Assistance programme Must have Valid SIA licence Good customer service and communication skills Proven work experience as a Security Officer (min 1 year) Excellent customer service and communication skills Professional attitude and appearance Have an ability to deliver succinct and clear verbal and written reports where necessary. Ability to be resourceful and proactive when issues arise Excellent organizational skills Experience within a Cooperate Security (min 1 year) Surveillance skills and detail orientation 5-year checkable work history IT literate - Ability to operate detecting systems and emergency equipment Main Duties Operational Support Report directly to the Security Control Room and operate under the direction of the Duty Shift Manager, or the CCTV Supervisor in their absence. Act as a first point of contact for assistance during shifts, supporting colleagues and management as required. Ensure the security operation runs smoothly by proactively identifying issues and offering support where needed. Maintain high visibility across the site and respond promptly to operational demands. Patrolling & Break Relief Carry out regular internal and external patrols in line with site procedures. Provide break relief across the site to ensure continuous operational coverage. Identify, report, and expand any security, safety, or operational concerns. Front of House (FOH) & Visitor Management Support FOH operations, including visitor management and access control. Deliver a professional, friendly, and confident front-facing presence at all times. Assist with event activity at FOH, working closely with the Control Room. Ensure visitors and staff experience a safe, well managed, and welcoming environment. Security Control Room Support Assist with operational duties within the Security Control Room when required. Support the monitoring of events, alarms, and incidents under management direction. Communicate clearly and maintain accurate records and reports. Loading Bay Support Assist with loading bay operations during peak and busy periods. Support the safe and secure movement of vehicles, deliveries, and contractors. Liaise effectively with site teams to maintain safety and operational flow. Presentation & Client Standards Maintain a high standard of personal presentation at all times, in line with site and client expectations. Demonstrate a consistently positive, professional, and approachable attitude. Represent the security team and client in a manner that reflects the site's high standards. Who We Are Ward Security provides security services solutions to a range of UK businesses. Security services include: CCTV security systems, property management, guard dog security, key holding services, security guard patrol services, response alarm systems and more. With over 1500+ of our amazing people operating nationally. We seek the best talent to uphold our vision "We look after our people; our people look after our clients. We aim to retain and attract the very best of both." Why Work For Us Apart from joining our friendly team we offer Uniform, SIA Licensing savings scheme, Cycle to Work Salary Sacrifice scheme, Pension and Life Assurance benefits. We strongly believe in growing our own talent, and we provide opportunities through our in house Training Academy, our Leadership Development Programme, online eLearning and development programmes for a career path. To support the wellbeing of our people we have an in house Mental Health Team, Wellbeing Platform, an inclusive culture recognised in our Diversity Champion & International Inclusion Awards. We uphold our wellbeing as a MIND Workplace Wellbeing Silver Award holder. We offer Reward membership to all employees, which includes retail discounts, cinema tickets, gym membership, 24/7 free Employee Assistance Programme, and many other fantastic benefits. At Ward Security, we believe in fostering an inclusive workplace where diversity is celebrated, and every individual is valued. We are committed to providing equal opportunities to all employees and applicants regardless of race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or any other characteristic protected by law. As an equal opportunity employer, we strive to create an environment that promotes fairness, respect, and collaboration. We are dedicated to recruiting, hiring, training, and promoting individuals based on their qualifications, skills, and abilities. We embrace the unique perspectives and backgrounds of our team members, recognising that diversity enriches our organisation and contributes to our success.
Mar 10, 2026
Full time
Posted Thursday 12 February 2026 at 01:00 Do you have previous security experience and excellent communication skills? Do you provide exceptional customer service and maintain a professional demeanour at all times? Can you keep a positive mindset with any challenge that comes your way? Apply now! We are recruiting a professional and highly motivated Security Officer to support the daily operation of a fast paced, client focused site. This role is ideal for someone who thrives in a dynamic environment, takes pride in their presentation, and consistently demonstrates a positive, approachable attitude. The Security Officer will play a key role in maintaining site security while delivering a high standard of customer service. The client has a strong expectation around professionalism, appearance, and attitude, and the successful candidate must be able to always represent the security team and the client to the highest standard. Role Security Officer - Pay Rate: £15.58 per hour - Shift Pattern: Monday - Friday (60 hours) - Location: EC3M, London - Role Requirements: SIA License Benefits include Financial support for SIA Licensing and renewal Cycle to work salary sacrifice scheme Company Pension scheme Life Assurance benefits Progression, training, and development opportunities Additional benefits via our ReWard membership Discounted gym membership Discounts at major retailers and travel suppliers Restaurant and Supermarket vouchers Cinema tickets Access to 24/7 free Employee Assistance programme Must have Valid SIA licence Good customer service and communication skills Proven work experience as a Security Officer (min 1 year) Excellent customer service and communication skills Professional attitude and appearance Have an ability to deliver succinct and clear verbal and written reports where necessary. Ability to be resourceful and proactive when issues arise Excellent organizational skills Experience within a Cooperate Security (min 1 year) Surveillance skills and detail orientation 5-year checkable work history IT literate - Ability to operate detecting systems and emergency equipment Main Duties Operational Support Report directly to the Security Control Room and operate under the direction of the Duty Shift Manager, or the CCTV Supervisor in their absence. Act as a first point of contact for assistance during shifts, supporting colleagues and management as required. Ensure the security operation runs smoothly by proactively identifying issues and offering support where needed. Maintain high visibility across the site and respond promptly to operational demands. Patrolling & Break Relief Carry out regular internal and external patrols in line with site procedures. Provide break relief across the site to ensure continuous operational coverage. Identify, report, and expand any security, safety, or operational concerns. Front of House (FOH) & Visitor Management Support FOH operations, including visitor management and access control. Deliver a professional, friendly, and confident front-facing presence at all times. Assist with event activity at FOH, working closely with the Control Room. Ensure visitors and staff experience a safe, well managed, and welcoming environment. Security Control Room Support Assist with operational duties within the Security Control Room when required. Support the monitoring of events, alarms, and incidents under management direction. Communicate clearly and maintain accurate records and reports. Loading Bay Support Assist with loading bay operations during peak and busy periods. Support the safe and secure movement of vehicles, deliveries, and contractors. Liaise effectively with site teams to maintain safety and operational flow. Presentation & Client Standards Maintain a high standard of personal presentation at all times, in line with site and client expectations. Demonstrate a consistently positive, professional, and approachable attitude. Represent the security team and client in a manner that reflects the site's high standards. Who We Are Ward Security provides security services solutions to a range of UK businesses. Security services include: CCTV security systems, property management, guard dog security, key holding services, security guard patrol services, response alarm systems and more. With over 1500+ of our amazing people operating nationally. We seek the best talent to uphold our vision "We look after our people; our people look after our clients. We aim to retain and attract the very best of both." Why Work For Us Apart from joining our friendly team we offer Uniform, SIA Licensing savings scheme, Cycle to Work Salary Sacrifice scheme, Pension and Life Assurance benefits. We strongly believe in growing our own talent, and we provide opportunities through our in house Training Academy, our Leadership Development Programme, online eLearning and development programmes for a career path. To support the wellbeing of our people we have an in house Mental Health Team, Wellbeing Platform, an inclusive culture recognised in our Diversity Champion & International Inclusion Awards. We uphold our wellbeing as a MIND Workplace Wellbeing Silver Award holder. We offer Reward membership to all employees, which includes retail discounts, cinema tickets, gym membership, 24/7 free Employee Assistance Programme, and many other fantastic benefits. At Ward Security, we believe in fostering an inclusive workplace where diversity is celebrated, and every individual is valued. We are committed to providing equal opportunities to all employees and applicants regardless of race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or any other characteristic protected by law. As an equal opportunity employer, we strive to create an environment that promotes fairness, respect, and collaboration. We are dedicated to recruiting, hiring, training, and promoting individuals based on their qualifications, skills, and abilities. We embrace the unique perspectives and backgrounds of our team members, recognising that diversity enriches our organisation and contributes to our success.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mechanical Site Manager - 6 weeks freelance - Richmond, Surrey - £320 per day - Start Feb 2026 AndersElite require an experienced Mechanical Site Manager to support the existing project team on a large decarbonisation project in Richmond, Surrey. This is a freelance position offering a chance to join an established building services contractor on a flagship project and could lead to further wo click apply for full job details
Mar 10, 2026
Seasonal
Mechanical Site Manager - 6 weeks freelance - Richmond, Surrey - £320 per day - Start Feb 2026 AndersElite require an experienced Mechanical Site Manager to support the existing project team on a large decarbonisation project in Richmond, Surrey. This is a freelance position offering a chance to join an established building services contractor on a flagship project and could lead to further wo click apply for full job details
Project & Programme Administrator Location: Gateshead Office-based Contract: Permanent Full-Time (Monday - Friday) Salary: 28,500 per annum (DOE) Start: ASAP / Immediate Summary Join our client, a thriving engineering organisation, as a Project & Programme Administrator ! You'll play a pivotal role in supporting diverse programmes and projects, working closely with Project Managers, Operations teams, and clients. If you're proactive, organised, and ready to make an impact, this is the role for you. Perks & Benefits Monday to Friday, 8:00 AM - 5:00 PM Full office-based role Includes a 30-minute unpaid lunch and two 15-minute unpaid breaks Free onsite parking 24 days annual leave + birthday off + public holidays Long service benefits, including pension contribution matching and extra annual leave Enhanced maternity and paternity pay Corporate rate private healthcare plan The Role As a Project & Programme Administrator, you will be at the heart of project coordination, ensuring programmes are accurately planned, resourced, and documented. Your input will be key in helping projects run smoothly, efficiently, and to schedule. Key Responsibilities Keep project schedules and key dates up to date and record weekly meeting notes. Capture weekly progress updates, lessons learned, and any planning changes. Maintain project trackers, Gantt charts, and client documentation. Manage weekly Change Requests (CRs) to ensure everything is accurate and complete. Plan weekly and longer-term labour requirements for all programmes. Communicate upcoming labour needs clearly to the teams. Keep track of where Operations and VMO2 teams are working. Take part in internal planning meetings to make sure resources are aligned. Lead client progress calls and provide structured programme updates. Keep track of project issues and feed them into client reporting. Send Practical Completion (PC) emails and handover documentation. Make sure all stakeholders are informed and aligned throughout the project. Upload and check CDM documentation and carry out regular compliance checks. Ensure EVision is set up correctly for each project. Record and manage received Purchase Orders (POs). Process Sales Order Confirmations. Attend resource and labour meetings to make sure delivery aligns with the programme. About You Previous experience as a Project Administrator, Programme Administrator, or in a similar coordination role Strong organisational and planning skills Confident communicator, comfortable liaising with internal teams and clients High attention to detail with excellent documentation skills Proficient in MS Office (Excel, Word, Outlook) and project tracking systems Please apply today!Please note that we are unable to provide individual feedback at this stage. If you are shortlisted, you will be contacted directly. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Mar 10, 2026
Full time
Project & Programme Administrator Location: Gateshead Office-based Contract: Permanent Full-Time (Monday - Friday) Salary: 28,500 per annum (DOE) Start: ASAP / Immediate Summary Join our client, a thriving engineering organisation, as a Project & Programme Administrator ! You'll play a pivotal role in supporting diverse programmes and projects, working closely with Project Managers, Operations teams, and clients. If you're proactive, organised, and ready to make an impact, this is the role for you. Perks & Benefits Monday to Friday, 8:00 AM - 5:00 PM Full office-based role Includes a 30-minute unpaid lunch and two 15-minute unpaid breaks Free onsite parking 24 days annual leave + birthday off + public holidays Long service benefits, including pension contribution matching and extra annual leave Enhanced maternity and paternity pay Corporate rate private healthcare plan The Role As a Project & Programme Administrator, you will be at the heart of project coordination, ensuring programmes are accurately planned, resourced, and documented. Your input will be key in helping projects run smoothly, efficiently, and to schedule. Key Responsibilities Keep project schedules and key dates up to date and record weekly meeting notes. Capture weekly progress updates, lessons learned, and any planning changes. Maintain project trackers, Gantt charts, and client documentation. Manage weekly Change Requests (CRs) to ensure everything is accurate and complete. Plan weekly and longer-term labour requirements for all programmes. Communicate upcoming labour needs clearly to the teams. Keep track of where Operations and VMO2 teams are working. Take part in internal planning meetings to make sure resources are aligned. Lead client progress calls and provide structured programme updates. Keep track of project issues and feed them into client reporting. Send Practical Completion (PC) emails and handover documentation. Make sure all stakeholders are informed and aligned throughout the project. Upload and check CDM documentation and carry out regular compliance checks. Ensure EVision is set up correctly for each project. Record and manage received Purchase Orders (POs). Process Sales Order Confirmations. Attend resource and labour meetings to make sure delivery aligns with the programme. About You Previous experience as a Project Administrator, Programme Administrator, or in a similar coordination role Strong organisational and planning skills Confident communicator, comfortable liaising with internal teams and clients High attention to detail with excellent documentation skills Proficient in MS Office (Excel, Word, Outlook) and project tracking systems Please apply today!Please note that we are unable to provide individual feedback at this stage. If you are shortlisted, you will be contacted directly. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Posted Thursday 12 February 2026 at 01:00 Do you have previous security experience and excellent communication skills? Do you provide exceptional customer service and maintain a professional demeanour at all times? Can you keep a positive mindset with any challenge that comes your way? Apply now! We are recruiting a professional and highly motivated Security Officer to support the daily operation of a fast paced, client focused site. This role is ideal for someone who thrives in a dynamic environment, takes pride in their presentation, and consistently demonstrates a positive, approachable attitude. The Security Officer will play a key role in maintaining site security while delivering a high standard of customer service. The client has a strong expectation around professionalism, appearance, and attitude, and the successful candidate must be able to always represent the security team and the client to the highest standard. Role Security Officer - Pay Rate: £15.58 per hour - Shift Pattern: Monday - Friday (60 hours) - Location: EC3M, London - Role Requirements: SIA License Benefits include Financial support for SIA Licensing and renewal Cycle to work salary sacrifice scheme Company Pension scheme Life Assurance benefits Progression, training, and development opportunities Additional benefits via our ReWard membership Discounted gym membership Discounts at major retailers and travel suppliers Restaurant and Supermarket vouchers Cinema tickets Access to 24/7 free Employee Assistance programme Must have Valid SIA licence Good customer service and communication skills Proven work experience as a Security Officer (min 1 year) Excellent customer service and communication skills Professional attitude and appearance Have an ability to deliver succinct and clear verbal and written reports where necessary. Ability to be resourceful and proactive when issues arise Excellent organizational skills Experience within a Cooperate Security (min 1 year) Surveillance skills and detail orientation 5-year checkable work history IT literate - Ability to operate detecting systems and emergency equipment Main Duties Operational Support Report directly to the Security Control Room and operate under the direction of the Duty Shift Manager, or the CCTV Supervisor in their absence. Act as a first point of contact for assistance during shifts, supporting colleagues and management as required. Ensure the security operation runs smoothly by proactively identifying issues and offering support where needed. Maintain high visibility across the site and respond promptly to operational demands. Patrolling & Break Relief Carry out regular internal and external patrols in line with site procedures. Provide break relief across the site to ensure continuous operational coverage. Identify, report, and expand any security, safety, or operational concerns. Front of House (FOH) & Visitor Management Support FOH operations, including visitor management and access control. Deliver a professional, friendly, and confident front-facing presence at all times. Assist with event activity at FOH, working closely with the Control Room. Ensure visitors and staff experience a safe, well managed, and welcoming environment. Security Control Room Support Assist with operational duties within the Security Control Room when required. Support the monitoring of events, alarms, and incidents under management direction. Communicate clearly and maintain accurate records and reports. Loading Bay Support Assist with loading bay operations during peak and busy periods. Support the safe and secure movement of vehicles, deliveries, and contractors. Liaise effectively with site teams to maintain safety and operational flow. Presentation & Client Standards Maintain a high standard of personal presentation at all times, in line with site and client expectations. Demonstrate a consistently positive, professional, and approachable attitude. Represent the security team and client in a manner that reflects the site's high standards. Who We Are Ward Security provides security services solutions to a range of UK businesses. Security services include: CCTV security systems, property management, guard dog security, key holding services, security guard patrol services, response alarm systems and more. With over 1500+ of our amazing people operating nationally. We seek the best talent to uphold our vision "We look after our people; our people look after our clients. We aim to retain and attract the very best of both." Why Work For Us Apart from joining our friendly team we offer Uniform, SIA Licensing savings scheme, Cycle to Work Salary Sacrifice scheme, Pension and Life Assurance benefits. We strongly believe in growing our own talent, and we provide opportunities through our in house Training Academy, our Leadership Development Programme, online eLearning and development programmes for a career path. To support the wellbeing of our people we have an in house Mental Health Team, Wellbeing Platform, an inclusive culture recognised in our Diversity Champion & International Inclusion Awards. We uphold our wellbeing as a MIND Workplace Wellbeing Silver Award holder. We offer Reward membership to all employees, which includes retail discounts, cinema tickets, gym membership, 24/7 free Employee Assistance Programme, and many other fantastic benefits. At Ward Security, we believe in fostering an inclusive workplace where diversity is celebrated, and every individual is valued. We are committed to providing equal opportunities to all employees and applicants regardless of race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or any other characteristic protected by law. As an equal opportunity employer, we strive to create an environment that promotes fairness, respect, and collaboration. We are dedicated to recruiting, hiring, training, and promoting individuals based on their qualifications, skills, and abilities. We embrace the unique perspectives and backgrounds of our team members, recognising that diversity enriches our organisation and contributes to our success.
Mar 10, 2026
Full time
Posted Thursday 12 February 2026 at 01:00 Do you have previous security experience and excellent communication skills? Do you provide exceptional customer service and maintain a professional demeanour at all times? Can you keep a positive mindset with any challenge that comes your way? Apply now! We are recruiting a professional and highly motivated Security Officer to support the daily operation of a fast paced, client focused site. This role is ideal for someone who thrives in a dynamic environment, takes pride in their presentation, and consistently demonstrates a positive, approachable attitude. The Security Officer will play a key role in maintaining site security while delivering a high standard of customer service. The client has a strong expectation around professionalism, appearance, and attitude, and the successful candidate must be able to always represent the security team and the client to the highest standard. Role Security Officer - Pay Rate: £15.58 per hour - Shift Pattern: Monday - Friday (60 hours) - Location: EC3M, London - Role Requirements: SIA License Benefits include Financial support for SIA Licensing and renewal Cycle to work salary sacrifice scheme Company Pension scheme Life Assurance benefits Progression, training, and development opportunities Additional benefits via our ReWard membership Discounted gym membership Discounts at major retailers and travel suppliers Restaurant and Supermarket vouchers Cinema tickets Access to 24/7 free Employee Assistance programme Must have Valid SIA licence Good customer service and communication skills Proven work experience as a Security Officer (min 1 year) Excellent customer service and communication skills Professional attitude and appearance Have an ability to deliver succinct and clear verbal and written reports where necessary. Ability to be resourceful and proactive when issues arise Excellent organizational skills Experience within a Cooperate Security (min 1 year) Surveillance skills and detail orientation 5-year checkable work history IT literate - Ability to operate detecting systems and emergency equipment Main Duties Operational Support Report directly to the Security Control Room and operate under the direction of the Duty Shift Manager, or the CCTV Supervisor in their absence. Act as a first point of contact for assistance during shifts, supporting colleagues and management as required. Ensure the security operation runs smoothly by proactively identifying issues and offering support where needed. Maintain high visibility across the site and respond promptly to operational demands. Patrolling & Break Relief Carry out regular internal and external patrols in line with site procedures. Provide break relief across the site to ensure continuous operational coverage. Identify, report, and expand any security, safety, or operational concerns. Front of House (FOH) & Visitor Management Support FOH operations, including visitor management and access control. Deliver a professional, friendly, and confident front-facing presence at all times. Assist with event activity at FOH, working closely with the Control Room. Ensure visitors and staff experience a safe, well managed, and welcoming environment. Security Control Room Support Assist with operational duties within the Security Control Room when required. Support the monitoring of events, alarms, and incidents under management direction. Communicate clearly and maintain accurate records and reports. Loading Bay Support Assist with loading bay operations during peak and busy periods. Support the safe and secure movement of vehicles, deliveries, and contractors. Liaise effectively with site teams to maintain safety and operational flow. Presentation & Client Standards Maintain a high standard of personal presentation at all times, in line with site and client expectations. Demonstrate a consistently positive, professional, and approachable attitude. Represent the security team and client in a manner that reflects the site's high standards. Who We Are Ward Security provides security services solutions to a range of UK businesses. Security services include: CCTV security systems, property management, guard dog security, key holding services, security guard patrol services, response alarm systems and more. With over 1500+ of our amazing people operating nationally. We seek the best talent to uphold our vision "We look after our people; our people look after our clients. We aim to retain and attract the very best of both." Why Work For Us Apart from joining our friendly team we offer Uniform, SIA Licensing savings scheme, Cycle to Work Salary Sacrifice scheme, Pension and Life Assurance benefits. We strongly believe in growing our own talent, and we provide opportunities through our in house Training Academy, our Leadership Development Programme, online eLearning and development programmes for a career path. To support the wellbeing of our people we have an in house Mental Health Team, Wellbeing Platform, an inclusive culture recognised in our Diversity Champion & International Inclusion Awards. We uphold our wellbeing as a MIND Workplace Wellbeing Silver Award holder. We offer Reward membership to all employees, which includes retail discounts, cinema tickets, gym membership, 24/7 free Employee Assistance Programme, and many other fantastic benefits. At Ward Security, we believe in fostering an inclusive workplace where diversity is celebrated, and every individual is valued. We are committed to providing equal opportunities to all employees and applicants regardless of race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or any other characteristic protected by law. As an equal opportunity employer, we strive to create an environment that promotes fairness, respect, and collaboration. We are dedicated to recruiting, hiring, training, and promoting individuals based on their qualifications, skills, and abilities. We embrace the unique perspectives and backgrounds of our team members, recognising that diversity enriches our organisation and contributes to our success.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Alexander Lloyd is partnering an established firm of Accountants based in Surrey who are seeking an experienced and Qualified ACCA/ ACA Audit Manager to join their team. This role is office based, offers flexible working and a friendly / welcoming environment. You will be responsible for a diverse portfolio of clients focused on delivering audits and associated financial reporting. Working closely with the Senior Management team and external clients you will deliver high quality work and build strong relationships. There is an opportunity to play a significant part in shaping the firms ongoing technological resources. Mentoring, advising and leading juniors in the team Opportunity to get involved with change projects This is an excellent opportunity for someone looking to step out of a high pressured audit environment and join a firm with growth plans but an emphasis on work/life balance. The Person Qualified Accountant ACCA/ ACA Experience gained in an audit firm, with hands on audit experience Professional and personable manner Leadership qualities Please quote 52259 when calling at Alexander Lloyd. This is only one of many vacancies we are handling. Alexander Lloyd is the leading recruiter across a range of roles within the Finance and Accountancy space. From part to fully qualified accountants within Financial Reporting, Management Accounts, FP&A, commercial finance up to Director level throughout Surrey, Sussex, London & Kent. Due to the high amount of interest that we receive for each of our roles unfortunately we cannot respond to each application individually, therefore if you do not hear back from one of our consultants you have not been shortlisted for this role. Please continue to check our website for any other roles which may be of interest.
Mar 10, 2026
Full time
Alexander Lloyd is partnering an established firm of Accountants based in Surrey who are seeking an experienced and Qualified ACCA/ ACA Audit Manager to join their team. This role is office based, offers flexible working and a friendly / welcoming environment. You will be responsible for a diverse portfolio of clients focused on delivering audits and associated financial reporting. Working closely with the Senior Management team and external clients you will deliver high quality work and build strong relationships. There is an opportunity to play a significant part in shaping the firms ongoing technological resources. Mentoring, advising and leading juniors in the team Opportunity to get involved with change projects This is an excellent opportunity for someone looking to step out of a high pressured audit environment and join a firm with growth plans but an emphasis on work/life balance. The Person Qualified Accountant ACCA/ ACA Experience gained in an audit firm, with hands on audit experience Professional and personable manner Leadership qualities Please quote 52259 when calling at Alexander Lloyd. This is only one of many vacancies we are handling. Alexander Lloyd is the leading recruiter across a range of roles within the Finance and Accountancy space. From part to fully qualified accountants within Financial Reporting, Management Accounts, FP&A, commercial finance up to Director level throughout Surrey, Sussex, London & Kent. Due to the high amount of interest that we receive for each of our roles unfortunately we cannot respond to each application individually, therefore if you do not hear back from one of our consultants you have not been shortlisted for this role. Please continue to check our website for any other roles which may be of interest.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Assistant Garden Centre Manager Location: West Sussex Salary: Recently increased 30,000 - 32,000 Hours: 40 hours/week About the Role We're looking for an Assistant Manager to join a thriving independent garden centre in West Sussex. This is a key leadership position, supporting the Garden Centre Manager and deputising in their absence. You'll oversee the Fertiliser, Feeds, Chemicals, and Houseplants departments, ensuring strong retail standards, great customer service, and smooth day to day operations. We're open to applications from both experienced Managers looking for a new challenge and Supervisor candidates ready to take the next step in their career, but garden centre experience is necessary, or experience in a DIY retail setting at the very least. Key Responsibilities Oversee the Fertilisers, Feeds, Chemicals, and Houseplants departments, ensuring excellent product presentation and stock quality. Lead a small team (around 3 staff off-season, increasing to 6 during peak periods). Support the Garden Centre Manager with daily operations and deputise during their absence. Maintain high standards of merchandising, stock control, and customer experience. Motivate, develop, and lead your team to deliver strong sales and great service. Work closely with other department leads to drive overall centre performance. What We're Looking For Garden Centre Experience: Essential - ideally in a supervisory or assistant management capacity. Experience in a DIY retail environment may also be considered. Leadership: A positive, approachable personality and the ability to blend well with a small, close-knit team. Commercial Awareness: Understanding of retail operations, stock management, and seasonal sales trends. Customer Focus: Friendly and proactive approach to customer service, with good product knowledge. Perks & Benefits Free on-site parking Staff discount after probation 28 days annual leave (inclusive of bank holidays) Workplace pension scheme Supportive and collaborative working environment What's Next? To apply, please send your CV to (url removed) Or call (phone number removed) for a confidential chat about the role.
Mar 10, 2026
Full time
Assistant Garden Centre Manager Location: West Sussex Salary: Recently increased 30,000 - 32,000 Hours: 40 hours/week About the Role We're looking for an Assistant Manager to join a thriving independent garden centre in West Sussex. This is a key leadership position, supporting the Garden Centre Manager and deputising in their absence. You'll oversee the Fertiliser, Feeds, Chemicals, and Houseplants departments, ensuring strong retail standards, great customer service, and smooth day to day operations. We're open to applications from both experienced Managers looking for a new challenge and Supervisor candidates ready to take the next step in their career, but garden centre experience is necessary, or experience in a DIY retail setting at the very least. Key Responsibilities Oversee the Fertilisers, Feeds, Chemicals, and Houseplants departments, ensuring excellent product presentation and stock quality. Lead a small team (around 3 staff off-season, increasing to 6 during peak periods). Support the Garden Centre Manager with daily operations and deputise during their absence. Maintain high standards of merchandising, stock control, and customer experience. Motivate, develop, and lead your team to deliver strong sales and great service. Work closely with other department leads to drive overall centre performance. What We're Looking For Garden Centre Experience: Essential - ideally in a supervisory or assistant management capacity. Experience in a DIY retail environment may also be considered. Leadership: A positive, approachable personality and the ability to blend well with a small, close-knit team. Commercial Awareness: Understanding of retail operations, stock management, and seasonal sales trends. Customer Focus: Friendly and proactive approach to customer service, with good product knowledge. Perks & Benefits Free on-site parking Staff discount after probation 28 days annual leave (inclusive of bank holidays) Workplace pension scheme Supportive and collaborative working environment What's Next? To apply, please send your CV to (url removed) Or call (phone number removed) for a confidential chat about the role.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 are currently looking for a Governance & Policy Lead - Pandemics to join our Business Operations Function within the Safety & Surveillance group. This is a full time opportunity, on a permanent basis. The role will be based in 10 South Colonnade, Canary Wharf London, E14 4PU. Government departments and agencies are working towards implementing a minimum 60% attendance in office sites. We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly. Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Safety and Surveillance (S&S) Group brings together into a single integrated structure expertise on the safety of all medical products with enforcement capabilities. These functions are supported by the Agency's data and evidence generating capabilities, complementing our signal generating abilities. Against this background and the drive to improve treatment availability for patients, safety remains at the heart of all our decision making across the product life cycle. The central mission of the Safety & Surveillance portfolio is to protect the public by appropriately identifying, assessing and managing the risks associated with medical products. In every aspect of this work, we harness the best science, technology, information and professional practice to protect patients in new and impactful ways. Further to the Government announcing it would establish an independent statutory inquiry into its handling of the COVID 19 pandemic, the Inquiry was formally launched in June 2022, with full powers under the Inquiries Act 2005. Around the same time, the Scottish Government committed to a Scottish COVID 19 Inquiry which is also underway. Both inquiries seek to establish the facts about the response to the COVID 19 pandemic to identify lessons for the future. The MHRA has played, and continues to play, a vital role in supporting the Government's response to pandemics. It will also play an active role in responding to public inquiries regarding pandemics and ensuring that lessons learned from pandemics are acted on. The Governance and Policy Lead will report to the Pandemics Programme and Strategy Manager within the Regulatory Affairs Business Operations Team and will support regulatory affairs within S&S, including preparing all aspects of our response to the Covid 19 public inquiries and ongoing response to broader pandemic preparedness efforts. What's the role? The Governance and Policy Lead will play a key role in the MHRA's preparations and response to the Covid 19 public inquiries, and ongoing response to broader pandemic preparedness efforts to both inquiries. The post holder will work independently and collaboratively, as circumstances require, in managing pandemic related governance arrangements and developing the MHRA's strategic narrative, providing an overview of how we supported the Government response to the pandemics, and how we prepare to continue to do so. This will involve working with cross agency pandemic preparedness and Government Legal Department (GLD) colleagues as well as liaising with Department of Health and Social Care (DHSC) counterparts. The post holder will support the project management of pandemic preparedness activities across the Agency, including MHRA's contribution to the Tier 1 cross government pandemic preparedness exercise in , ensuring lessons learned from the Inquiry and from previous pandemic responses translate into future operational and policy planning. The post-holder will also support more general regulatory affairs and legislative changes in the S&S Group, including responding to complex Freedom of Information requests and supporting ongoing legal cases. Key responsibilities: Build relationships and establish effective interfaces with DHSC counterparts, lawyers, MHRA teams and other bodies, to support successful delivery. Manage effective Inquiry governance arrangements, including secretariat duties - facilitating cross Agency input - and working with Government Legal Department and Counsel to successfully prepare for and engage with the Inquiries. Play a lead role in developing the MHRA response to requests for evidence commissioned via Rule 9 requests, helping to shape the MHRA's narrative and overall approach to collating and disclosing information, including supporting current and former MHRA officials in preparing for and potentially giving evidence to the Inquiries. Prepare project management and governance documentation - coordinating activity, undertaking regular monitoring, and planning, identifying / mitigating / escalating risks / issues, and supporting contract / budget management - ensuring Agency decisions are audited and plans are delivered. Lead the coordination and response to COVID 19 and pandemic related correspondence, including Freedom of Information (FOI) requests, media enquiries, parliamentary questions, and public correspondence. This includes managing fluctuating demand around Inquiry hearings and supporting legal disclosure and coroner's inquests. Ensure that insights and lessons from the COVID 19 Inquiry and other past pandemic responses- both domestic and international-are captured, analysed, and applied to strengthen the Agency's future preparedness and response capabilities. Support more general regulatory affairs and legislative changes in the S&S Group, including responding to complex Freedom of Information requests and supporting ongoing legal cases. Who are we looking for? Seeing the Big Picture: Understand the strategic drivers for your area of work. Remain alert to emerging issues and trends which might impact your work area. Understand how the strategies and activities of the team create value and meet the diverse needs of all stakeholders. Delivering at Pace: Ensure the most appropriate resources are available for colleagues to use to do their job effectively. Regularly monitor your own and team's work against milestones ensuring individual needs are considered when setting tasks. Act promptly to reassess workloads and priorities when there are conflicting demands to maintain performance. Communicating and Influencing: Communicate in a straightforward, honest and engaging manner, choosing appropriate styles to maximise understanding and impact. Share information as appropriate and check understanding. Ensure that important messages are communicated with colleagues and stakeholders respectfully, taking into consideration the diversity of interests. Experience of and ability to build excellent working relationships with stakeholders at all levels. A track record of providing high quality advice and briefing, interpreting, and succinctly communicating complex information to wider audiences. Previous programme / project experience, including planning and prioritisation. Person Specification Method of assessment: A=Application, I=Interview, P=Presentation. Behaviour Criteria: Seeing the Big Picture (A, I, P) Delivering at Pace (A, I, P) Communicating and Influencing (A, I, P) Experience Criteria: A track record of providing high quality advice and briefing, interpreting, and succinctly communicating complex information to wider audiences (A, I, P) Previous programme / project experience, including planning and prioritisation (A, I, P) Experience of and ability to build excellent working relationships with stakeholders at all levels (A, I, P) Experience working on and responding to public Inquiries and drafting complex regulatory information with consideration for legal implications and public understanding Lead Criteria - (A, I, P) Technical Criteria: Strong IT skills with the ability to effectively use in a project environment including Word, PowerPoint, and Excel (A) A degree (desirable in a scientific discipline) or equivalent experience (A) Strengths Criteria: Efficient (I) Explainer (I) Resilient (I) Application and Selection Process Online application form, including questions based on the Behaviour, Experience and Technical Success Profiles. Presentation, to be prepared as part of your interview, with further information being supplied when you reach this stage. Interview, which can include questions based on the Behaviour, Experience, Technical and Strengths Success Profiles. In the instance that we receive a high number of applications, we will hold an initial sift based on the lead criteria of: Experience working on and responding to public Inquiries and drafting complex regulatory information with consideration for legal implications and public understanding. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role . click apply for full job details
Mar 10, 2026
Full time
We are currently looking for a Governance & Policy Lead - Pandemics to join our Business Operations Function within the Safety & Surveillance group. This is a full time opportunity, on a permanent basis. The role will be based in 10 South Colonnade, Canary Wharf London, E14 4PU. Government departments and agencies are working towards implementing a minimum 60% attendance in office sites. We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly. Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Safety and Surveillance (S&S) Group brings together into a single integrated structure expertise on the safety of all medical products with enforcement capabilities. These functions are supported by the Agency's data and evidence generating capabilities, complementing our signal generating abilities. Against this background and the drive to improve treatment availability for patients, safety remains at the heart of all our decision making across the product life cycle. The central mission of the Safety & Surveillance portfolio is to protect the public by appropriately identifying, assessing and managing the risks associated with medical products. In every aspect of this work, we harness the best science, technology, information and professional practice to protect patients in new and impactful ways. Further to the Government announcing it would establish an independent statutory inquiry into its handling of the COVID 19 pandemic, the Inquiry was formally launched in June 2022, with full powers under the Inquiries Act 2005. Around the same time, the Scottish Government committed to a Scottish COVID 19 Inquiry which is also underway. Both inquiries seek to establish the facts about the response to the COVID 19 pandemic to identify lessons for the future. The MHRA has played, and continues to play, a vital role in supporting the Government's response to pandemics. It will also play an active role in responding to public inquiries regarding pandemics and ensuring that lessons learned from pandemics are acted on. The Governance and Policy Lead will report to the Pandemics Programme and Strategy Manager within the Regulatory Affairs Business Operations Team and will support regulatory affairs within S&S, including preparing all aspects of our response to the Covid 19 public inquiries and ongoing response to broader pandemic preparedness efforts. What's the role? The Governance and Policy Lead will play a key role in the MHRA's preparations and response to the Covid 19 public inquiries, and ongoing response to broader pandemic preparedness efforts to both inquiries. The post holder will work independently and collaboratively, as circumstances require, in managing pandemic related governance arrangements and developing the MHRA's strategic narrative, providing an overview of how we supported the Government response to the pandemics, and how we prepare to continue to do so. This will involve working with cross agency pandemic preparedness and Government Legal Department (GLD) colleagues as well as liaising with Department of Health and Social Care (DHSC) counterparts. The post holder will support the project management of pandemic preparedness activities across the Agency, including MHRA's contribution to the Tier 1 cross government pandemic preparedness exercise in , ensuring lessons learned from the Inquiry and from previous pandemic responses translate into future operational and policy planning. The post-holder will also support more general regulatory affairs and legislative changes in the S&S Group, including responding to complex Freedom of Information requests and supporting ongoing legal cases. Key responsibilities: Build relationships and establish effective interfaces with DHSC counterparts, lawyers, MHRA teams and other bodies, to support successful delivery. Manage effective Inquiry governance arrangements, including secretariat duties - facilitating cross Agency input - and working with Government Legal Department and Counsel to successfully prepare for and engage with the Inquiries. Play a lead role in developing the MHRA response to requests for evidence commissioned via Rule 9 requests, helping to shape the MHRA's narrative and overall approach to collating and disclosing information, including supporting current and former MHRA officials in preparing for and potentially giving evidence to the Inquiries. Prepare project management and governance documentation - coordinating activity, undertaking regular monitoring, and planning, identifying / mitigating / escalating risks / issues, and supporting contract / budget management - ensuring Agency decisions are audited and plans are delivered. Lead the coordination and response to COVID 19 and pandemic related correspondence, including Freedom of Information (FOI) requests, media enquiries, parliamentary questions, and public correspondence. This includes managing fluctuating demand around Inquiry hearings and supporting legal disclosure and coroner's inquests. Ensure that insights and lessons from the COVID 19 Inquiry and other past pandemic responses- both domestic and international-are captured, analysed, and applied to strengthen the Agency's future preparedness and response capabilities. Support more general regulatory affairs and legislative changes in the S&S Group, including responding to complex Freedom of Information requests and supporting ongoing legal cases. Who are we looking for? Seeing the Big Picture: Understand the strategic drivers for your area of work. Remain alert to emerging issues and trends which might impact your work area. Understand how the strategies and activities of the team create value and meet the diverse needs of all stakeholders. Delivering at Pace: Ensure the most appropriate resources are available for colleagues to use to do their job effectively. Regularly monitor your own and team's work against milestones ensuring individual needs are considered when setting tasks. Act promptly to reassess workloads and priorities when there are conflicting demands to maintain performance. Communicating and Influencing: Communicate in a straightforward, honest and engaging manner, choosing appropriate styles to maximise understanding and impact. Share information as appropriate and check understanding. Ensure that important messages are communicated with colleagues and stakeholders respectfully, taking into consideration the diversity of interests. Experience of and ability to build excellent working relationships with stakeholders at all levels. A track record of providing high quality advice and briefing, interpreting, and succinctly communicating complex information to wider audiences. Previous programme / project experience, including planning and prioritisation. Person Specification Method of assessment: A=Application, I=Interview, P=Presentation. Behaviour Criteria: Seeing the Big Picture (A, I, P) Delivering at Pace (A, I, P) Communicating and Influencing (A, I, P) Experience Criteria: A track record of providing high quality advice and briefing, interpreting, and succinctly communicating complex information to wider audiences (A, I, P) Previous programme / project experience, including planning and prioritisation (A, I, P) Experience of and ability to build excellent working relationships with stakeholders at all levels (A, I, P) Experience working on and responding to public Inquiries and drafting complex regulatory information with consideration for legal implications and public understanding Lead Criteria - (A, I, P) Technical Criteria: Strong IT skills with the ability to effectively use in a project environment including Word, PowerPoint, and Excel (A) A degree (desirable in a scientific discipline) or equivalent experience (A) Strengths Criteria: Efficient (I) Explainer (I) Resilient (I) Application and Selection Process Online application form, including questions based on the Behaviour, Experience and Technical Success Profiles. Presentation, to be prepared as part of your interview, with further information being supplied when you reach this stage. Interview, which can include questions based on the Behaviour, Experience, Technical and Strengths Success Profiles. In the instance that we receive a high number of applications, we will hold an initial sift based on the lead criteria of: Experience working on and responding to public Inquiries and drafting complex regulatory information with consideration for legal implications and public understanding. Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role . click apply for full job details
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Big C is proud to support people affected by cancer across Norfolk and the generosity of our supporters makes that possible. We re looking for an enthusiastic and driven Community Fundraiser to join our Fundraising, Marketing and Communications Team. This is a hands-on, varied and relationship-led role where you ll build meaningful connections, deliver engaging fundraising initiatives. This is an exciting opportunity for someone with fundraising experience who wants to contribute directly to the charity s income and see the real impact of their work within the community. About the role Reporting to the Events and Engagement Manager, you ll coordinate and deliver a range of community fundraising initiatives that contribute directly to Big C s income targets. A key focus of this role is responsibility for developing and growing our Regular Giving and Legacies income streams. You ll nurture supporter relationships, promoting long-term giving and legacy pledge opportunities to help ensure these vital areas of income continue to grow. Alongside this, engage with local groups and organisations helping to deliver activities that inspire individuals and communities to get involved. You ll act as a visible ambassador for Big C, representing the charity at events and cheque presentations. This is a proactive role that combines relationship-building, income generation and coordination ideal for someone who enjoys being out in the community while keeping everything organised behind the scenes. Key Responsibilities: Coordinate and deliver community fundraising initiatives that directly contribute to agreed income targets Take ownership of Big C s Regular Giving and Legacies fundraising activity, driving engagement and income growth Build and maintain strong relationships with supporters, local organisations and community groups Identify new fundraising opportunities and support the development of agreed campaigns and activities Provide tailored support to third-party fundraisers to help maximise their fundraising potential If viewing this vacancy from our website, you can download the full job description here: Community Fundraiser. An accessible version of the job description for visually impaired applicants is available here: Community Fundraiser - accessible version. About Big C Big C is one of East Anglia s largest cancer charities, having raised £50 million in 45 years. Each year, our supporters help us raise around £3 million to support people affected by cancer in our community. We provide holistic care through Cancer Support Centres and Hubs, as well as online and telephone support via our Virtual Support Centre. Income comes from donations, local businesses, grants, legacies, and 11 charity shops across the region. Committed to equity, diversity, and inclusion, Big C was recently awarded Gold Accreditation in the Best Employers Eastern Region 2025 and offers a supportive environment that values wellbeing and work/life balance. Why Big C? We re proud to be a Best Employer (Gold, Eastern Region 2025) and offer a supportive, inclusive working environment that values wellbeing, development, and work-life balance. Our benefits include: 33 days holiday (FTE, including bank holidays) 5% employer pension contribution Company sick pay and life assurance Health Cash Plan and Employee Assistance Programme Cycle to Work Scheme Opportunities for professional development If you share these values and want to make a real difference, we d love to hear from you. Apply Now Big C are committed to safeguarding and promoting the welfare of vulnerable adults, young adults and children and expect all staff and volunteers to share this commitment. When applying, please complete the online application fully. Information to support your application can be in your attached covering letter or where indicated in the application. If you have questions about this role, would prefer to apply another way, or require information in an accessible format, please get in touch. Please note that this vacancy may close earlier once sufficient applications received. Interviews will take place as soon as possible.
Mar 10, 2026
Full time
Big C is proud to support people affected by cancer across Norfolk and the generosity of our supporters makes that possible. We re looking for an enthusiastic and driven Community Fundraiser to join our Fundraising, Marketing and Communications Team. This is a hands-on, varied and relationship-led role where you ll build meaningful connections, deliver engaging fundraising initiatives. This is an exciting opportunity for someone with fundraising experience who wants to contribute directly to the charity s income and see the real impact of their work within the community. About the role Reporting to the Events and Engagement Manager, you ll coordinate and deliver a range of community fundraising initiatives that contribute directly to Big C s income targets. A key focus of this role is responsibility for developing and growing our Regular Giving and Legacies income streams. You ll nurture supporter relationships, promoting long-term giving and legacy pledge opportunities to help ensure these vital areas of income continue to grow. Alongside this, engage with local groups and organisations helping to deliver activities that inspire individuals and communities to get involved. You ll act as a visible ambassador for Big C, representing the charity at events and cheque presentations. This is a proactive role that combines relationship-building, income generation and coordination ideal for someone who enjoys being out in the community while keeping everything organised behind the scenes. Key Responsibilities: Coordinate and deliver community fundraising initiatives that directly contribute to agreed income targets Take ownership of Big C s Regular Giving and Legacies fundraising activity, driving engagement and income growth Build and maintain strong relationships with supporters, local organisations and community groups Identify new fundraising opportunities and support the development of agreed campaigns and activities Provide tailored support to third-party fundraisers to help maximise their fundraising potential If viewing this vacancy from our website, you can download the full job description here: Community Fundraiser. An accessible version of the job description for visually impaired applicants is available here: Community Fundraiser - accessible version. About Big C Big C is one of East Anglia s largest cancer charities, having raised £50 million in 45 years. Each year, our supporters help us raise around £3 million to support people affected by cancer in our community. We provide holistic care through Cancer Support Centres and Hubs, as well as online and telephone support via our Virtual Support Centre. Income comes from donations, local businesses, grants, legacies, and 11 charity shops across the region. Committed to equity, diversity, and inclusion, Big C was recently awarded Gold Accreditation in the Best Employers Eastern Region 2025 and offers a supportive environment that values wellbeing and work/life balance. Why Big C? We re proud to be a Best Employer (Gold, Eastern Region 2025) and offer a supportive, inclusive working environment that values wellbeing, development, and work-life balance. Our benefits include: 33 days holiday (FTE, including bank holidays) 5% employer pension contribution Company sick pay and life assurance Health Cash Plan and Employee Assistance Programme Cycle to Work Scheme Opportunities for professional development If you share these values and want to make a real difference, we d love to hear from you. Apply Now Big C are committed to safeguarding and promoting the welfare of vulnerable adults, young adults and children and expect all staff and volunteers to share this commitment. When applying, please complete the online application fully. Information to support your application can be in your attached covering letter or where indicated in the application. If you have questions about this role, would prefer to apply another way, or require information in an accessible format, please get in touch. Please note that this vacancy may close earlier once sufficient applications received. Interviews will take place as soon as possible.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Mar 10, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
Head of Building Surveying, (Offices located in London, Luton, Torquay, Worcester & Hampshire). c 75,000 - c 85,000 + Bonus Package, Car Allowance, Pension, & Health Care We are currently working on behalf of Innovus Group, an established, well respected, and growing property company, with offices located across the country. Innovus have 25 years of trading behind them, a highly successful track record, and broad client base covering the UK and currently looking to attract and recruit someone who can take on a senior role within the business as the Head of Building Surveying. This role will provide leadership, coaching and development to direct reports (often conducted remotely) as well as continuously improving service delivery and generating growth for the surveying business. Who we are looking to attract: Someone educated with a degree in Building Surveying. Holds membership to the RICS. Has excellent IT skills (NBS, MS Project Outlook, Word, Excel). Has experience of leading from the front and acting as a mentor to lesser experienced team members. Good technical writing, client-facing and communication skills. Ideally experience in Principal Designer. Experience of ECS (Emergency Call Systems specifically in specifications and tenders in advance of the analogue to digital switchover). This is a must-have due to this being a key part of the role. Experience of AOVs (Automated Opening Vents). General experience for fee quoting. About the role: Provide leadership and direction to Innovus Surveyors fostering a collaborative and high-performance work environment which focusses on service and growth. Mentor and develop staff, encouraging professional growth and skill enhancement. Drive a great people culture in the business that is inclusive, provides opportunity and delivers results. Define, measure and improve key performance indicators with a focus on service and efficiency. Oversee the planning, execution, and completion of surveying projects, ensuring adherence to timelines, budgets, and quality standards. Collaborate with project managers and teams to deliver successful surveying outcomes. Maintain a high level of technical expertise in surveying methodologies, tools, and technologies. Ensure that the surveying team is equipped with the latest tools and resources. Stay current with relevant laws, regulations, and industry standards related to land surveying. Ensure that all surveying projects comply with legal requirements. Identify and mitigate potential risks associated with surveying projects, ensuring the successful completion of deliverables. Engage proactively and positively with clients to provide confidence in services delivered. Agree and embed service level agreements for all business services activities with clients. Implement and maintain quality assurance processes to ensure the accuracy and precision of surveying data and deliverables. Manage the surveying department budgets across Innovus Surveyors. Effectively manage the surveying divisional budgets. Ensure costs are appropriately managed, forecasting is accurate, and risks are appropriately managed. This includes resource allocation, equipment procurement, and cost control measures. Stay abreast of technological advancements in surveying tools and methods. Integrate new technologies to enhance the efficiency and capabilities of the surveying businesses bespoke to their needs. Grow the business services division through organic, acquisitive and new product / market activities. Participate in business development activities to secure new surveying projects. If you are looking to take on a managerial role, you are a Chartered Building Surveyor, and would like to learn more, please click on the Apply Button today. Offices located London, Luton, Torquay, Worcester & Hampshire. 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.
Mar 10, 2026
Full time
Head of Building Surveying, (Offices located in London, Luton, Torquay, Worcester & Hampshire). c 75,000 - c 85,000 + Bonus Package, Car Allowance, Pension, & Health Care We are currently working on behalf of Innovus Group, an established, well respected, and growing property company, with offices located across the country. Innovus have 25 years of trading behind them, a highly successful track record, and broad client base covering the UK and currently looking to attract and recruit someone who can take on a senior role within the business as the Head of Building Surveying. This role will provide leadership, coaching and development to direct reports (often conducted remotely) as well as continuously improving service delivery and generating growth for the surveying business. Who we are looking to attract: Someone educated with a degree in Building Surveying. Holds membership to the RICS. Has excellent IT skills (NBS, MS Project Outlook, Word, Excel). Has experience of leading from the front and acting as a mentor to lesser experienced team members. Good technical writing, client-facing and communication skills. Ideally experience in Principal Designer. Experience of ECS (Emergency Call Systems specifically in specifications and tenders in advance of the analogue to digital switchover). This is a must-have due to this being a key part of the role. Experience of AOVs (Automated Opening Vents). General experience for fee quoting. About the role: Provide leadership and direction to Innovus Surveyors fostering a collaborative and high-performance work environment which focusses on service and growth. Mentor and develop staff, encouraging professional growth and skill enhancement. Drive a great people culture in the business that is inclusive, provides opportunity and delivers results. Define, measure and improve key performance indicators with a focus on service and efficiency. Oversee the planning, execution, and completion of surveying projects, ensuring adherence to timelines, budgets, and quality standards. Collaborate with project managers and teams to deliver successful surveying outcomes. Maintain a high level of technical expertise in surveying methodologies, tools, and technologies. Ensure that the surveying team is equipped with the latest tools and resources. Stay current with relevant laws, regulations, and industry standards related to land surveying. Ensure that all surveying projects comply with legal requirements. Identify and mitigate potential risks associated with surveying projects, ensuring the successful completion of deliverables. Engage proactively and positively with clients to provide confidence in services delivered. Agree and embed service level agreements for all business services activities with clients. Implement and maintain quality assurance processes to ensure the accuracy and precision of surveying data and deliverables. Manage the surveying department budgets across Innovus Surveyors. Effectively manage the surveying divisional budgets. Ensure costs are appropriately managed, forecasting is accurate, and risks are appropriately managed. This includes resource allocation, equipment procurement, and cost control measures. Stay abreast of technological advancements in surveying tools and methods. Integrate new technologies to enhance the efficiency and capabilities of the surveying businesses bespoke to their needs. Grow the business services division through organic, acquisitive and new product / market activities. Participate in business development activities to secure new surveying projects. If you are looking to take on a managerial role, you are a Chartered Building Surveyor, and would like to learn more, please click on the Apply Button today. Offices located London, Luton, Torquay, Worcester & Hampshire. 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.
RG Setsquare is actively hiring for Site Manager. Job Title : Site Manager - Office Refurbishment & Fit out Location : Cambridge, UK Contract Duration : 6 Weeks (Starting in 4-8 weeks) Salary/Rate : Competitive (Depending on experience) Desirable : Experience with office interiors and knowledge of current trends in commercial office fit-outs. CSCS card, SMSTS , and First Aid qualifications are desirable. Previous experience in short-term, high-intensity projects is a plus If you would be interested , please apply or you can send your CV at (url removed). Or you can contact me on (phone number removed). RG Setsquare is acting as an Employment Agency in relation to this vacancy.
Mar 10, 2026
Contractor
RG Setsquare is actively hiring for Site Manager. Job Title : Site Manager - Office Refurbishment & Fit out Location : Cambridge, UK Contract Duration : 6 Weeks (Starting in 4-8 weeks) Salary/Rate : Competitive (Depending on experience) Desirable : Experience with office interiors and knowledge of current trends in commercial office fit-outs. CSCS card, SMSTS , and First Aid qualifications are desirable. Previous experience in short-term, high-intensity projects is a plus If you would be interested , please apply or you can send your CV at (url removed). Or you can contact me on (phone number removed). RG Setsquare is acting as an Employment Agency in relation to this vacancy.
