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A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

Ready to step up into a role where you own real projects, inherit a full design system, and do work that actually matters? This could be it. Salary & package £42,000 £45,000 Permanent London / Hybrid (2 3 days in office) 25 days holiday + bank holidays + your birthday off Private medical insurance (WPA) Pension matched up to 5%, ethically invested 6 paid volunteering days per year Life assurance at 4x salary About Social Value Portal Social Value Portal is the UK's leading platform for measuring and reporting social value - and it has been since 2014. The business works with organisations across the public, private, and voluntary sectors, helping them quantify and grow the positive impact they create. To date, more than £60bn in social value has been unlocked through its platform and customer relationships. The team is growing and internationalising. The product sits at the heart of it all, and this role sits at the heart of the product. The role You'll join as a Product Designer reporting to the Head of Product, working closely day-to-day with the senior designer who has built the existing design system from the ground up. You're not starting from scratch - you'll inherit a full design system, a pattern library, an established research group, and a platform that's already live and scaling. Initially you'll pick up defined projects and ad hoc improvements, getting to know the product and the team. As you settle in, you'll take on more complex research and strategic design work. It's a genuine step up -not a sideways move. The office is based in Elephant and Castle, London (moving there around May 2026), with 2 to 3 days a week on-site. Day to day: user research, wireframes, high-fidelity specs, prototype testing, and contributing to a design system that keeps the whole product coherent as it scales. You'll: Research and define user personas that reflect real behaviour and goals Translate product requirements into wireframes and interactive prototypes Run usability testing and validation - then act on what you learn Deliver high-fidelity UX/UI specs for developers to implement Maintain and evolve the SVP design system for consistent, scalable output Collaborate with Product, Engineering, and Marketing across the full Agile cycle Champion the user - advocate for customer-centric decisions across the product team What you'll bring Essential: A strong product design portfolio demonstrating both process and outcome Solid proficiency in Figma, Sketch, or Adobe XD Proven experience applying UX principles, user research methods, and design systems Working knowledge of Agile/Scrum environments and software development processes Experience conducting qualitative and quantitative user research Useful, not essential: Experience using Productboard Demonstrable use of AI tools within a design workflow Salesforce and Lightning Design System (SLDS) Benefits & culture Financial: £42,000 £45,000 base, ethically invested pension matched to 5%, retail discounts with 200+ brands, salary sacrifice schemes (childcare, cycling, EV). Flexibility: Hybrid working with 2 3 days in the London HQ. 25 days holiday plus bank holidays, your birthday off, and annual increases after 3 years. Development: Access to The Knowledge Academy for accredited training. Wellbeing: Private medical insurance, 24/7 Employee Assistance Programme, life assurance at 4x salary, elderlycare support, independent financial advice through Mintago. Community: 6 paid volunteering days, gym access at the London HQ, and a business with a clear social purpose baked in from day one. Working arrangements Location: Walworth Town Hall, London SE17 1RS Working pattern: Hybrid - 2 to 3 days per week in the office Contract: Permanent, full-time- Core hours- 9am-5:30pm Reporting to: Head of Product Interested? If this sounds like the kind of role you've been looking for, apply with your CV and a link to your portfolio. If you'd like to find out more before applying, get in touch and we'll talk you through it.

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.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

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.

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.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

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.

Are you looking for an employer who can offer you opportunities for growth and development in your speech and language therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider speech and language therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist SaLT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a 'Great Place to Work' for the 5th year running? At OFG we believe in creating a better work life balance Job Title: Senior Speech and Language Therapist Location: Hillingdon Granges - comprising of Yiewsley Grange, Colne Grange, Upton Grange, This role will be predominantly based at Upton Grange, there may be requirements for the role to support other sites within the Hillingdon Granges sites from time to time. Salary: Up to £53,200 FTE DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week, Monday to Friday 8.30-16.30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. We understand the value of helping our employees develop in their careers. For clinicians to achieve their Continued Professional Development (CPD) goals we offer a £2000 training allowance, so that you can complete role specific training tailored to your individual requirements once your probation has been completed. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow's leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: Our Services & Schools - Outcomes First Group The role: We are looking for a Senior Speech and Language Therapist to join our in-house clinical team. Working collaboratively with the education team, you will deliver bespoke Speech and Language Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Speech and Language Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding a Speech and Language therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for a Speech and Language Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange forms part of our Options Autism brand and is an independent specialist day school, supporting children and young people aged 3 - 14 Hillingdon Grange School Education - Options Autism For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: Undergraduate or Postgraduate degree in Speech and Language Therapy HCPC registered 1-2 yrs experience as a fully registered member of the RCSLT working in a similar setting. Some relevant experience in a previously held job of engaging and working with individuals presenting with complex and diverse communication profiles Some knowledge of neurodiversity and trauma informed practice Some experience of multi-disciplinary working in a range of settings Some experience of communicating with/working with families/relatives and carers An interest in developing knowledge and skills in different areas of SaLT practice Good relationship building, analytical and judgmental skills Good communication skills (oral and written) Good time management and organisational skills Competent in core areas of SaLT practice and clear understanding of RCSLT Communication Standards Knowledge of different SaLT assessment tools, types of intervention and knowledge of how to formulate support plans based on needs profile Knowledge of legislation and its implications for both clinical practice and professional management in relation to the client group Ability to work collaboratively as part of the multi-disciplinary team Willingness to attend training and working towards further qualifications relevant to the client group supporting Full valid driving licence and access to own vehicle Desirable: Some understanding of the other differences, e.g. sensory and motor, which may impact on an individual's communication strengths, differences, traits, difficulties and needs profile Some evidence of understanding the relationship between arousal levels and communication ASD experience Why work for us? Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options: Benefits Your health and wellbeing are important to us, so you'll get an exceptional reward and flexible benefits package including: Life Assurance Pension scheme with options to increase your contributions "Your Wellbeing Matters" - access to a wide range of first-class mental health support services and physical heath checks Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support. A wide range of health, wellbeing, and insurance benefits 100's of discount options valid in the UK and abroad Cycle to Work Schemes Electric Car Purchase Scheme Critical illness cover £5000 Welcome Bonus £2000 CPD Training Allowance At Outcomes First Group we are committed to the safeguarding and promoting the welfare of our pupils and young people. All successful applicants will be subject to social media checks and successful applicants to a fully enhanced DBS We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 304801

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

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.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

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.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

Audio Visual Service Engineer To provide field-based service and support to our clients. The successful candidate will be expected to work on their initiative; however, they will be part of a service team. The job will involve servicing and supporting audio-visual, video conferencing, pro audio, and control equipment. You will be responsible for the safe and correct diagnosis of faults, removal, repair, test, implementation, and operation of all aspects of audio-visual, video conference, display, and presentation technologies. Carrying out preventative maintenance visits and training end users where required at PM visits. This job requires a technical understanding of AV systems and service within a corporate environment and is open to candidates within commutable distance of Maidenhead. Whilst the salary budget is set at a max of 45K, there is some flexibility based on experience. Audio Visual Service Engineer Responsible for post-implementation fault finding, testing, and the repair of audio-visual equipment across various job sites and client types. Knowledge & Key Skills Onsite Work 80% Audio (Program and Speech, DSP-based systems) (QSC, Biamp, Shure, and Poly sound structure) Projection and Display Devices (Maintenance) Custom Control Systems (AMX/Crestron/Extron/SY) Audio and Video Conferencing (Cisco/Lifesize/Polycom/Zoom/Microsoft Teams) Microsoft Hub Digital Signage Systems (Scala/OneLAN/Brightsign) Video Wall Display Systems (Datapath/Dexon) IPTV (Exterity / Tripleplay) Live Event Work (VC/Presentation/Broadcast) Configuring, performing diagnostics, and firmware updates of videoconferencing codecs and AV hardware in general. Site cleanliness Communicating with customers and site contacts Adherence to site rules, procedures, and H&S Adhoc On-site Tech cover - annual leave, sickness In office 20% Completing post-job and PM reports Providing phone/email tech support Product research and development for client requirements Continue with PDP and applicable training IMS and Quality Policy awareness and development Essential: 4 years audio-visual experience - installation/onsite/tech support Ability to terminate cables (particularly Cat5/6, RS232 and Audio TRS) Knowledge of Audio room acoustic optimisation within various environments Effective communication skills at all levels, especially client-facing Good numeracy and written skills Must be well organised with the ability to prioritise workload effectively whilst dealing with clients proactively Quick response to service desk tickets Able to work individually and as part of a team Good time keeping and dressed according to the job in hand Fully compliant with The Health and Safety at Work Act 1974 Clean driving licence and a current passport holder AVIXA CTS Desirable: Crestron P101 Extron School of AV Cisco CCIP Microsoft Teams core skills Networking knowledge; not limited to, but including identifying issues regarding Dante/AES67 in respect to QoS/PTP/IGMP The Benefits: Salary up to 45K based upon experience 28 days holiday, including the 8 bank holiday days - with incremental increases for long service. Car Allowance. Pension: Auto-enrol commences at 3 months. If an employee pays 5% into the pension, our client pays 3%. After one year in the company pension, our client matches the 5%, after one years service a salary sacrifice option is available. There is a drink allowance during the day Tools & PC supplied Bupa Healthcare after 6 months including dental cover 28 days holiday, including the 8 bank holiday days - with incremental increases for long service. Bonus scheme: Our client also has a company scorecard bonus, which has financial goals. Once a successful candidate has passed their probationary period, they are eligible to participate when the company hits the targets. This is not a contractual bonus, but today the value is 10% of base salary.

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.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

Our client is a young, growing grant making charity dedicated to transforming mental health support for young people aged 11-25 yrs across the UK. Founded in 2020, they invest around £8m each year in services and research that prevents and treats anxiety and depression, strengthens the evidence base for what works, and helps proven approaches reach the young people who need them the most. Prospectus is delighted to be working with the organisation to recruit a Senior Grants Manager to join its small but busy and experienced team, in this key role based at lovely offices in Central London. The role: The Senior Grants Manager will play a leading role in the design, assessment and management of our funding programmes. Reporting to the Head of Grants, this role will lead the assessment of complex proposals, manage a varied portfolio of grants, build strong relationships with grantees and partners, and contribute to shaping our grant-making strategy and growing our expertise in youth mental health. This is an exciting opportunity for an experienced grants professional ready to set into a senior role, to contribute to shaping the organisation's grant-making and make an impact in an important field. This role will work within a small but experienced and hard-working team, making a significant contribution to the delivery of the organisation's objectives. The primary aim of this role is to bring senior grant-making expertise and knowledge to the team, in addition to growing the Trust's expertise in the field of youth mental health. This is an opportunity to work with and support a wide range of organisations, individuals. It will involve designing and delivering programmes, managing relationships with grantees and exercising sound judgement whilst capturing learning to inform future decision making and strategy. There will also be an important database and reporting aspect to this role, where accuracy and process management expertise will be essential. The role is full-time and will be primarily office based at lovely offices in Central London. The person: The successful candidate will have substantial grant-making experience alongside previous exposure to the thematic aspects of the organisation's work on young people's mental health and wellbeing. Exposure to research and/or impact measurement tools and methodologies will also be very useful. This role would be suited to an adept grant maker who brings strong sector awareness and is energised by continuously deepening their understanding of youth mental health. Thoughtful, analytical and highly organised, this person will be a collaborative self-starter in addition to having excellent communication skills. Team work, professionalism and accuracy are all keys to success in this role so evidence of having worked in high paced and busy teams, in similar areas of work will be very important, in addition to being able to work independently and to manage your own time. The organisation believes that a greater diversity of ethnicity, gender, disabilities, religions and sexual orientation, in addition to views, skills, and approach make for a more successful team. They actively encourage applications from people with as diverse backgrounds as possible to achieve this aim. As a specialist Recruitment Practice, we are committed to building inclusive and diverse organisations, and welcome applications from all sections of the community. We invest in your journey as a candidate and are committed to supporting you in your application.