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How would you like to get paid for five days, but only work four? At Outcomes First Group, we believe in better work/life balance — and we’re putting wellbeing first. That’s why we’re proud to be part of a 4-Day Working Week (4DWW) trial, where you can work one day less each week (or equivalent hours), while still receiving your full-time pay. Many of our schools have already introduced the 4DWW — and others are preparing to roll it out as soon as they reach full staffing. So, whether it’s already in place or just around the corner, now’s the perfect time to join #teamOFG. Job Title: School Chef Location: Hillingdon Manor School, Uxbridge UB8 3HD Salary: £27,300.00 per annum (not pro rata) Hours: 38.5 hours per week | Monday to Friday Contract: Permanent, Term Time Only Start Date: January 2026 UK applicants only. This role does not offer sponsorship. About the Role Hillingdon Manor School is looking for a talented, creative School Chef to join our team and lead the preparation of delicious, nutritious meals that energise and inspire our pupils and staff. This is more than just cooking — it’s about shaping healthy habits, introducing exciting flavors, and contributing to a vibrant school community. You’ll have the opportunity to design innovative menus, manage a small kitchen team, and ensure every meal meets the highest standards of taste, presentation, and nutrition. Your work will make a real difference to the wellbeing, happiness, and daily life of our school community. What You’ll Do • Plan, prepare, and serve high-quality, nutritious meals that pupils and staff enjoy, • Develop exciting and varied menus that balance nutrition, creativity, and budget, • Lead, inspire, and manage kitchen staff, fostering a team-focused and innovative environment, • Maintain food safety, hygiene, and allergen compliance at all times, • Manage stock efficiently, minimise waste, and maximise resources We’re seeking a confident, imaginative, and driven Chef who thrives in a busy environment and is passionate about creating meals that delight and nourish. Essential: • Strong catering experience, ideally in a school, residential, or similar setting, • Knowledge of food safety, allergen management, and kitchen operations, • Experience in menu planning, stock control, and supervising staff, • Previous management experience within a catering team At Hillingdon Manor Secondary School, we provide specialist education for c185 pupils, aged between 11-19 years old. Our students are taught in smaller class sizes and all students work towards a variety of qualifications dependent on their needs and ability. The aim of the site is to provide enough support to unlock each pupil’s potential so they can live fulfilling and productive lives. We provide students with as much freedom as possible in a safe and supervised environment. This is achievable due to the dedication and support from a range of employed professionals who are passionate, reliable, and understanding. For over 19 years Options Autism have provided care and education to pupils and adults with autism, complex needs and learning difficulties. As part of Outcomes First Group, we are leading our sector in setting and delivering new approaches that provide measurable outcomes for those in our care. We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. Why join Options Autism? We place the outcomes of the pupils in our services at the heart of everything we do, so you’ll wake every day in the knowledge that your role will have a significant positive impact on the lives of others. We are committed to safeguarding and promoting the welfare of pupils. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover *You’ll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. 4DWW is subject to successful completion of probation and is not a contractual benefit Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. #1

How would you like to get paid for five days, but only work four? At Outcomes First Group, we believe in better work/life balance — and we’re putting wellbeing first. That’s why we’re proud to be part of a 4-Day Working Week (4DWW) trial, where you can work one day less each week (or equivalent hours), while still receiving your full-time pay. Many of our schools have already introduced the 4DWW — and others are preparing to roll it out as soon as they reach full staffing. So, whether it’s already in place or just around the corner, now’s the perfect time to join #teamOFG. Job Title: Design & Food Tech Teacher Location: Baston House School, Bromley, Kent BR2 7AB Salary: £39,000 - £46,000 per annum, dependent on experience (not pro rata) Hours: 37.5 hours per week | Monday to Friday | 8.30am – 4.30pm Contract: Permanent | Term Time Only Start: December 2025 UK applicants only; no sponsorship available As part of our continued growth, Baston House School in Bromley is seeking an experienced Design & Food Technology Teacher to join our dynamic and supportive team, inspiring pupils to explore creativity and develop practical skills. About the Role At Baston House, we believe learning should be engaging, hands-on, and full of possibilities. You will deliver exciting lessons that encourage pupils to explore, experiment, and discover new skills—whether in smart materials, CAD/CAM, graphics, textiles, resistant materials, electronics, photography, or animation. We welcome teachers who are passionate about developing their own expertise alongside pupils, bringing energy, creativity, and a growth mindset to the classroom every day. You’ll be part of a team that values collaboration, innovation, and the celebration of each child’s achievements. What You’ll Be Doing • Deliver inspiring, practical lessons that bring learning to life, • Develop creative resources and activities tailored to pupils’ needs, • Support pupils’ social, emotional, and academic development, • Maintain a safe, inclusive, and engaging classroom environment, • Collaborate with colleagues, parents, and external professionals to enhance learning, • Participate in ongoing professional development, sharing ideas and learning with the team, • Qualified Teacher Status (QTS), • Experience working with autistic or SEN pupils (highly desirable), • Creative, adaptable, and enthusiastic about inspiring young people, • Collaborative, supportive, and committed to fostering an inclusive school environment About Us Baston House is an independent day specialist provider of education and care for young people and adults aged 5 to 19 years who have been diagnosed with Autism (ASC). Baston House School ensures that our school environment supports learning and promotes the well-being of pupils and staff through a strong sense of community cohesion. Creating a sense of community, develop social understanding, improve well-being, enhance academic achievement, and develop independence are at the root of our school community. We work hard to provide a safe school where pupils are included in every aspect of school life. For over 19 years Options Autism have provided care and education to pupils, young people and adults with autism, complex needs and learning difficulties. We are a leading provider of education for neurodivergent young people and young adults. As part of Outcomes First Group, we are leading our sector in setting and delivering new approaches that provide measurable outcomes for those in our care. We are really proud to say that in 2024, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the fifth year running. Why join Options Autism? We place the outcomes of the pupils in our services at the heart of everything we do, so you’ll wake every day in the knowledge that your role will have a significant positive impact on the lives of others. We are committed to safeguarding and promoting the welfare of pupils. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover *You’ll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. 4DWW is subject to successful completion of probation and is not a contractual benefit Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. #1

How would you like to get paid for five days, but only work four? At Outcomes First Group, we believe in better work/life balance — and we’re putting wellbeing first. That’s why we’re proud to be part of a 4-Day Working Week (4DWW) trial, where you can work one day less each week (or equivalent hours), while still receiving your full-time pay. Many of our schools have already introduced the 4DWW — and others are preparing to roll it out as soon as they reach full staffing. So, whether it’s already in place or just around the corner, now’s the perfect time to join #teamOFG. Job Title: Lifeskills Teacher Location: Baston House School, Bromley, BR2 7AB Salary: £39,000 – £46,000 per annum, dependent on experience (not pro rata) Hours: 37.5 hours per week, Monday to Friday, 8:30am – 4:30pm Contract: Permanent, Term Time Only Start: January 2026 UK applicants only. This role does not offer sponsorship. As part of our continued growth, we have an exciting opportunity for a Lifeskills Teacher to join our close-knit team at Baston House School in Bromley. About the Role We are seeking a passionate and creative Lifeskills Teacher to deliver high-quality education for pupils diagnosed with Autism (ASC). This role focuses on helping pupils develop practical skills, independence, and confidence within a supportive and structured environment. You will plan and deliver a curriculum combining functional academics, vocational learning, and personal development, tailored to the sensory, communication, and social needs of autistic learners. Lessons may include: • Independent living skills, • Money management, • Communication, • Health and wellbeing, • Community engagement Who We’re Looking For We are seeking a qualified teacher (QTS/QTLS) who: • Has experience or a strong interest in working with pupils diagnosed with Autism (ASC), • Can design and deliver structured, engaging lessons that meet the communication, sensory, and social needs of autistic learners, • Is passionate about developing functional skills and preparing pupils for independence and future success, • Can differentiate the curriculum to ensure access and engagement for pupils with a range of abilities, • Works collaboratively with a multidisciplinary team to support each pupil’s holistic development Every day presents new opportunities to make a real difference, and with ongoing guidance, training, and support, you will develop your skills and grow your career while working alongside a dedicated and passionate team at Baston House School About The School Baston House is an independent day specialist provider of education and care for young people and adults aged 5 to 19 years who have been diagnosed with Autism (ASC). Baston House School ensures that our school environment supports learning and promotes the well-being of pupils and staff through a strong sense of community cohesion. Creating a sense of community, develop social understanding, improve well-being, enhance academic achievement, and develop independence are at the root of our school community. We work hard to provide a safe school where pupils are included in every aspect of school life. For over 19 years Options Autism have provided care and education to pupils, young people and adults with autism, complex needs and learning difficulties. We are a leading provider of education for neurodivergent young people and young adults. As part of Outcomes First Group, we are leading our sector in setting and delivering new approaches that provide measurable outcomes for those in our care. We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. Why join Options Autism? We place the outcomes of the pupils and vulnerable young adults in our services at the heart of everything we do, so you’ll wake every day in the knowledge that your role will have a significant positive impact on the lives of others. We are committed to safeguarding and promoting the welfare of pupils and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme *You’ll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. #1

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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.

About Health & Happiness Group Health & Happiness (H&H) Group is a publicly traded company, with established market positions in more than 15 countries in Asia-Pacific, Europe, North America and Oceania with over 3,000 team members working across the globe. Our vision is focused on premium nutrition and lifetime wellness. We have 3 business segments – Baby, Adult and Pet Nutrition and Care – supporting whole-family health and happiness across 8 international brands. As we grow, our people and our culture are essential to our success. We are recognised as a ‘Great Place to Work’ and have over 3,400 employees working globally, both in-office and remotely to support the company’s rapid growth. We are looking for more brilliant people who can turn complex problems into simple solutions. Your role within the team: • We are seeking a skilled and experienced Amazon Paid Media Manager to join our team., • The ideal candidate will have a minimum of 4 years of proven experience in managing and optimizing Amazon Paid Media campaigns., • As an Amazon Paid Media Manager, you will play a crucial role in driving the success of our e-commerce business by strategically managing and optimizing our Amazon advertising efforts. Key Responsibilities: • Media Ownership: Build, manage, and optimise all Amazon Ads (Sponsored Products, Brands, Display, and DSP) to achieve ROAS, ACoS, and revenue targets., • Seller Central Management: Maintain and optimise campaigns, listings, and product data directly within Seller Central,ensuring everything from budgets to bids to catalogue data is accurate and optimised, • Strategic Execution: Work with the Amazon EU Lead to design and deliver a cohesive media plan that supports both short-term sales goals and long-term brand growth., • Search & Conversion Optimisation: Leverage keyword analysis, category insights, and competitive data to improve ranking and conversion., • Creative Collaboration: Partner with the brand and content teams to test and optimise assets in paid media campaigns., • Performance Analysis: Build weekly and monthly media performance dashboards, delivering actionable insights and recommendations., • Experience managing Amazon 3P accounts through Seller Central., • Deep experience in Amazon Advertising, including campaign setup, optimisation, and reporting., • Strong analytical skills with comfort using Helium10, Pacvue, JungleScout, or similar tools., • Experience scaling revenue in consumer brands (ideally supplements, beauty, or pet care). Campaign Strategy and Planning: • Develop and execute effective Amazon PPC strategies aligned with overall business objectives., • Conduct thorough keyword research and analysis to identify relevant and high-performing keywords., • Create and manage comprehensive PPC campaigns, ad groups, and keywords to maximize ROI. Budget Management: • Set, monitor, and optimize advertising budgets to ensure efficient allocation of resources., • Implement bidding strategies to achieve target ACoS (Advertising Cost of Sales) and other key performance indicators. Ad Creative and Copywriting: • Collaborate with the creative team to develop compelling ad creatives that resonate with the target audience., • Write persuasive and engaging ad copy to increase click-through rates and conversions. Performance Analysis and Reporting: • Regularly analyze campaign performance metrics and key performance indicators., • Provide insightful reports and actionable recommendations to enhance campaign performance., • Utilize analytics tools to track and measure the success of campaigns. Competitor Analysis: • Stay informed about industry trends and competitive landscape., • Conduct competitor analysis to identify opportunities and areas for improvement. Continuous Optimization: • Implement A/B testing strategies for ad creatives, targeting, and bidding., • Stay abreast of Amazon algorithm changes and update strategies accordingly. Desired Skills and Experience: To make sure we are setting new starters up for success, we ask that you meet a few criteria relevant to the role to be considered for this opportunity: • Minimum of 3-4 years of hands-on experience in managing Amazon PPC campaigns., • DSP experience would be a big plus too., • Proven track record of improving ACoS, conversion rates, and overall campaign performance., • In-depth knowledge of Amazon Advertising platform and best practices., • Strong analytical skills with proficiency in data interpretation and reporting., • Excellent communication and collaboration skills., • Familiarity with e-commerce and understanding of consumer behaviour on online marketplaces., • Creative thinker with a passion for pets and wellness., • Excellent problem-solving and decision-making skills – seeks to solve problems and bring recommendations rather than just reporting on issues or challenges., • Results-oriented self-starter that takes initiative without being asked and has a proven track record of excellent results in a fast-growth environment., • Highly organized and disciplined with strong attention to detail., • Collaborative - proven collaborative leadership style and a team player., • Strong written, verbal and listening communication skills, • Excelling at operating in a fast paced & entrepreneurial environment., • Ability to work in a cross-functional matrix environment. Benefits: • Hybrid working with 3 days a week in the office., • Note: Our current Office days are Tuesday, Wednesday and Thursday. Occasionally, an extra day in the office will be required for Group Town hall, Events, team meetings, etc., • Gym Membership (28 credits per month), • On-site Gym, • 30 Annual Leave days per year, • 40% discount for UK Brands, • Pension, • Health Insurance, • Life Insurance, • Private Dental Insurance, • Dog-friendly office., • Coffee shop within the building., • Complimentary office drinks on Thursday evenings H&H Group believes in the benefits of a diverse and inclusive workplace and aims to reflect the varied cultures within which we exist. We are committed to providing a working environment that is free from discrimination and harassment, creating a safe and inclusive environment for all. We encourage applications from people of all ages, nationalities, religions, racial and gender identities, sexual orientations, abilities and cultures, and our hiring decisions will be based on business needs, position requirements, and the qualifications and experience of individuals. If you require support or assistance during the application process, please notify us at the time of application and we will be sure to enable reasonable adjustments where suitable. If you have what it takes, please apply via the online portal and we will be in touch soon. We move quickly and may fill the role prior to the application close date, so we suggest you get in touch today! Salary and benefits will be competitive and commensurate with experience. All personal data collected is for recruitment purposes only.

NEW BUYER ROLE IN HAYES, MIDDLESEX Are you an experienced procurement professional looking for a new challenge in a dynamic and innovative company? Look no further! Our client based in Hayes, Middlesex is seeking a motivated Senior Buyer to support their strategic supply solutions, optimize quality, and ensure impeccable delivery to our valued customers. Position: Buyer Reporting To: Purchasing Manager Role and Responsibilities for the Buyer: You will have a pivotal role in managing their supply chain operations, ensuring consistent delivery of goods and materials, and implementing procurement best practices. Your responsibilities will include: • Ensuring a continuous supply of goods and materials in alignment with company guidelines, while promptly addressing any potential supply problems., • Collaborating with stakeholders and suppliers to understand new projects, demand, and supply initiatives, and communicating their potential impact on purchasing and production activities., • Implementing cost-saving strategies through effective negotiation and procurement best practices., • Identifying opportunities for operational efficiency improvements, value addition, and continuous business enhancement., • Ensuring compliance with procurement procedures by internal customers and guiding colleagues in utilizing ERP/MRP systems for procurement and supply activities. Qualifications and Experience for the Buyer role: • A-level and University degree (desirable)., • Professional qualifications such as CIPS, Institute of Supply Chain, or APICS (minimum: Advanced Diploma in Procurement and Supply Operations)., • Extensive knowledge of Microsoft Office, SharePoint, and ERP systems (Oracle JD Edwards preferred)., • Strong organizational skills, attention to detail, and methodical approach., • Proven ability to drive improvements and take ownership of tasks., • Excellent influencing skills and a team-oriented mindset. Our client has a strong internal culture of teamwork and work-life balance. They host regular gathering and team building exercises, they value their employees and strive to create a positive, relaxed and enjoyable working environment.

About Health & Happiness Group Health & Happiness (H&H) Group is a publicly traded company, with established market positions in more than 15 countries in Asia-Pacific, Europe, North America and Oceania with over 3,000 team members working across the globe. Our vision is focused on premium nutrition and lifetime wellness. We have 3 business segments – Baby, Adult and Pet Nutrition and Care – supporting whole-family health and happiness across 8 international brands. As we grow, our people and our culture are essential to our success. We are recognised as a ‘Great Place to Work’ and have over 3,400 employees working globally, both in-office and remotely to support the company’s rapid growth. We are looking for more brilliant people who can turn complex problems into simple solutions. Your role within the team: Aurelia Cellular is seeking an ambitious, strategic, and commercially minded Direct-to-Consumer (DTC) lead for Beauty to own and accelerate our DTC growth in UK and FR. • This leader will set the DTC strategy, drive acquisition and retention, oversee digital performance, and ensure every interaction with the brand is premium, high-impact, and conversion-driving., • This is a transformational role for a pioneering brand at the intersection of beauty, wellness and advanced skincare science., • The ideal candidate has subject-matter expertise in digital beauty growth models and understands how consumers discover, evaluate and fall in love with beauty brands online., • You have a proven track record of scaling DTC beauty businesses, converting trial to ritual and building strong LTV through retention and loyalty. Key Responsibilities: DTC Strategy & P&L Ownership • Define and execute Aurelia Cellular’s DTC strategy with a premium beauty lens., • Own the DTC P&L, driving sustainable, profitable growth., • Set ambitious acquisition, retention, conversion, and revenue targets., • Champion premium brand experience while driving cost efficiency and scale. Acquisition, Performance Marketing & Media • Oversee performance marketing across Meta, Google, YouTube, affiliates, influencers, and emerging platforms., • Develop a robust growth roadmap that balances brand building with performance efficiency., • Partner with Brand & Creative teams to deliver high-impact beauty storytelling in conversion-driven campaigns. Customer Lifecycle, CRM & Retention • Own the consumer lifecycle from first impression through long-term beauty ritual., • Oversee CRM strategies (email/SMS/loyalty) to maximize LTV and retention., • Increase LTV by driving subscription, replenishment, and advocacy., • As the brand grows, develop segmentation, customer journeys, and personalized experiences. Ecommerce, Conversion & Digital Experience • Own site experience, CRO, digital merchandising, and UX to reflect Aurelia’s premium beauty identity., • Ensure the digital consumer journey reflects the brand’s premium positioning and scientific authority., • Lead product launch plans, promotional strategy, and digital merchandising. Insights, Forecasting & Data-Driven Decision Making • Partner with analytics to build dashboards, interpret insights, and drive data-based decisions., • Lead DTC forecasting aligned with marketing plans, promotions, and growth strategies., • Identify growth opportunities and build business cases for new initiatives. Desired Skills and Experience: To make sure we are setting new starters up for success, we ask that you meet a few criteria relevant to the role to be considered for this opportunity: • 7+ years of commercial experience as a commercially-driven digital leader with deep experience in Beauty DTC (skincare, supplements, cosmetics, or premium consumer health)., • Expert in scaling brands online through acquisition growth + high-retention models., • Passionate about premium brands, beauty culture, community-driven advocacy, and category innovation., • Obsessed with metrics but equally with creativity, brand equity, and product desire., • Comfortable building and leading high-performing teams in a fast-growth environment., • Creative thinker with a passion for wellness., • Excellent problem-solving and decision-making skills – seeks to solve problems and bring recommendations rather than just reporting on issues or challenges., • Results-oriented self-starter that takes initiative without being asked and has a proven track record of excellent results in a fast-growth environment., • Highly organized and disciplined with strong attention to detail., • Collaborative - proven collaborative leadership style and a team player., • Strong written, verbal and listening communication skills, • Excelling at operating in a fast paced & entrepreneurial environment., • Ability to work in a cross-functional matrix environment. Benefits: • Hybrid working with 3 days a week in the office., • Note: Our current Office days are Tuesday, Wednesday and Thursday. Occasionally, an extra day in the office will be required for Group Town hall, Events, team meetings, etc., • Gym Membership (28 credits per month), • On-site Gym, • 30 Annual Leave days per year, • 40% discount for UK Brands, • Pension, • Health Insurance, • Life Insurance, • Private Dental Insurance, • Dog-friendly office., • Coffee shop within the building., • Complimentary office drinks on Thursday evenings H&H Group believes in the benefits of a diverse and inclusive workplace and aims to reflect the varied cultures within which we exist. We are committed to providing a working environment that is free from discrimination and harassment, creating a safe and inclusive environment for all. We encourage applications from people of all ages, nationalities, religions, racial and gender identities, sexual orientations, abilities and cultures, and our hiring decisions will be based on business needs, position requirements, and the qualifications and experience of individuals. If you require support or assistance during the application process, please notify us at the time of application and we will be sure to enable reasonable adjustments where suitable. If you have what it takes, please apply via the online portal and we will be in touch soon. We move quickly and may fill the role prior to the application close date, so we suggest you get in touch today! Salary and benefits will be competitive and commensurate with experience. All personal data collected is for recruitment purposes only.

Sonata Software Overview In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation™ playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space. Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms. Job Title: Program & Account Manager – (Europe Team) Role Summary We are seeking a dynamic Program & Account Manager to join our Europe team. This role will act as the primary UK-based point of contact overseeing the implementation and ongoing support of Microsoft Fabric and Commercial Analytics solutions. In addition to program delivery, the individual will manage the Sonata account, drive client satisfaction, and identify opportunities for growth. Key Responsibilities: Program & Project Management • Serve as the primary UK-based point of contact during implementation and support phases., • Lead program governance, planning, timelines, and execution for Microsoft Fabric and commercial analytics implementation., • Coordinate with cross-functional delivery teams to ensure milestones and deliverables are met., • Manage risks, issues, dependencies, and escalation paths effectively., • Provide regular status updates and reports to internal and client leadership., • Facilitate meetings, align expectations, and maintain high client satisfaction. Post-Implementation Support • Act as the continuous point of contact for all support-related queries., • Collaborate with European support and technical teams to triage and resolve issues., • Establish and maintain support structures, processes, and documentation. Strategic Advisory • Advise BioPharma stakeholders on data and analytics strategy, including commercial analytics and associated technologies., • Identify opportunities for process improvement, optimization, and future initiatives., • Present recommendations and roadmaps to senior stakeholders. Account Management & Growth • Manage the Sonata account for the BioPharma client, ensuring strong relationships and trust., • Identify and pursue opportunities to grow the account through new initiatives, services, and solutions., • Work closely with sales and leadership teams to develop proposals and strategic plans., • Monitor account health, revenue, and client satisfaction metrics. Qualifications • Proven experience in program and project management within data and analytics domains., • Excellent client-facing communication and stakeholder management skills., • Ability to manage risks, dependencies, and complex delivery timelines., • Experience in account management and growth strategies., • Familiarity with BioPharma industry processes and compliance is a plus. Skills • Program governance and delivery, • Data and analytics strategy, • Relationship building and account growth, • Risk and issue management, • Strong presentation and communication skills

Senior Sourcing Manager up to £78,000 DOE North London I am currently recruiting for an experienced Sourcing Manager to join a leading national retailer within their Commercial team in the central office in North London You will be responsible for maximising the growth in both sales & profitability while maintaining a strategic business focus to ensure continued development within the own brand buying department. Some of your duties will include; • Develop and manage the Sourcing strategy for the specified categories within own brand, • Building & maintaining strong relationships with suppliers, • Understand key cost drivers (and impacts) within your category and continuously identify opportunities for improvement, • Full responsibility of negotiation of cost price increases and ensuring timelines are communicated throughout the process., • Continue to work collaboratively with current suppliers on reducing COGS and expand the range opportunities, • Maintain outstanding levels of supplier service and work seamlessly with internal departments to resolve and issues promptly., • Always seeking new suppliers to deliver a stronger commercial offer than current suppliers, or to supply new / alternate products and categories to the business, • Analysing sales figures to plan successful future lines with the own brand team., • Working closely with the new product development teams to maintain quality levels within products., • Presenting reports, figures and trend information to the Senior Management team Key requirements for the role; • Proven previous Buying / Procurement / Sourcing experience within a fast-moving FMCG / Food environment., • Ability to influence and negotiate effectively., • Able to adapt swiftly in a fast paced, ever changing retail market., • Excellent communication skills and the ability to liaise effectively at all levels, • Excellent understanding of all MS Office products. If you think you have the right experience and looking for a new opportunity to develop your career with a leading national retailer, then get in touch and apply today

SEN Teacher seeking a full-time, long-term position. Are you an experienced SEN Teacher looking for a new opportunity in Brent?. Are you an SEN Teacher available full-time to start ASAP?.

Full-Time Cover Teacher | Harrow | Immediate Start. An exceptional two-form entry primary school in Harrow is seeking a dedicated Cover Teacher to join their team starting immediately. This is a fantastic opportunity for an experienced primary teacher looking to take on a new challenge without the d

Entry Level Sales and Customer Service Role - Full time equivalent - No Experience Required! Are you ready to launch a long-term career in sales, with real opportunities for personal and professional growth? Based in the City Centre of London, our client is currently recruiting for driven individuals, due to ongoing expansion and high client demand. This is more than just a job — it’s a chance to kickstart your career in sales, where your hard work translates into real rewards and progression. You'll be involved in all aspects of sales, customer service, and promotional campaigns, gaining valuable skills in a fast-paced, supportive environment. The key attributes they are looking for; • Positive and proactive attitude, • Professional Manner, • High customer service standards, • Excellent English communication skills, • Team collaboration skills Previous experience in sales, direct marketing or customer service is not required; however previous retail, call centre, hospitality, front oh house, care, warehouse, customer service or sales experience is welcome. This is a great opportunity to gain experience and grow your long-term career in this sector. Role and responsibilities: • Generating new customer base for their clients, • Working with an enthusiastic team, • Working towards collective and individual targets, • Customer Service, • Sales Acquisition What they offer: • Extensive training and mentorship from seasoned professionals., • Fantastic working environment and social calendar., • Progression for those willing to grow and learn., • Successful and established Sales Team to support you., • Brand awareness fee plus commission & incentives for hitting targets, • Exciting travel opportunities. This is a unique opportunity for individuals to progress through their company based purely on individual merit and results. If you are someone who is self-motivated and serious about your own career, this would be more suitable for you. Recognition for hard work is given with excellent uncapped performance related commissions and incentives as earnings. To apply for this role please use this site's online system, remembering to attach your CV to your application. Please make sure your full name, address and contact details are available so they can contact you if you are successful. You will be representing clients in face-to-face field sales campaigns in the London area, within this self employed role. This role is not suitable for candidates still in education (school/College/University), or current international students. Due to availability, our client is seeking candidates that can work 4/5 full days per week (between Mon-Sat) Roles Based in London • Please note, by applying to this advert you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

Graduate Account Manager About the job Vertex Resourcing Ltd is the exclusively assigned partner for this project and will be managing all applications. Job Description White Rabbit was founded on the belief that no one should have to compromise on good food. With an Italian chef as a co-founder, we've used traditional family recipes and the very best ingredients to create gluten free dishes inspired by Italian classics. We’ve even built our very own gluten free bakery to deliver on our promise. Whilst pizza is our heartland, we’ve also dedicated ourselves to perfecting the beloved Italian-inspired dishes that you were missing, like focaccia, pasta and desserts. As we’ve expanded the range of food we make, we’ve remained true to our ambition to craft delicious, high-quality food that everyone is proud to eat. Our growth has always been driven for and by you, our consumer. It’s an incredibly exciting time at White Rabbit! We’re growing 4x faster than gluten free meal solutions in the market* & we’ve just re-launched. With a new & improved range, brand refresh and our latest investment into custom built equipment at our bakery, we’re truly challenging what it means to be gluten free. We have ambitious growth plans across the next few years, and our core behaviours Be Agile, Be Proud, Be a Leader, are at the heart of that. So, if you’re looking to learn in a fast paced environment with plenty of responsibility, then we’d love to hear from you. What you’ll be doing: This is a hands-on, learning-focused role that will give you exposure to all areas of our commercial function. You’ll report to the Head of Sales and work closely with teams across the business to help deliver growth and build strong customer relationships. • Support the management of key accounts: Working with a range of Foodservice and Wholesale accounts as well as a national retail account with budgets & KPIs to be delivered and variable and fixed spend management, in line with budgets., • A natural hustler: you’re a go-getter, proactively engaging new leads or landing new products, creating engaging sells that focus on White Rabbit’s gluten free credentials., • A customer champion: manage and develop strong relationships with key decision makers at these accounts, working closely with them to understand their needs, develop strategic plans and unlock sales growth., • A brand ambassador: clearly communicate our brand and product strategy externally to customers., • A strategic thinker: develop a strategic plan for accounts across channels, with consideration as to how this fits within the broader business plan for White Rabbit., • A collaborator: you’ll work within dynamic multi-functional teams which include supply chain managers, category managers, brand manager & the bakery team. Perks & Benefits • Be part of our next growth chapter - we’re already the UK’s #2 gluten-free pizza brand and just getting started., • Join an experienced, passionate team making gluten-free food more accessible every day., • Enjoy great benefits: competitive salary, bonus, pension, 25 days holiday plus your birthday off, volunteering days, socials, free snacks, coffee, onsite gym and more., • Gain valuable experience with real opportunities to grow and progress. Requirements Either six to twelve month experience ( Industry placement) in sales or account management however we will consider motivated graduates looking to join a high growth challenger brand within the FMCG market. • Ability to think strategically & not be afraid to go after new business across multiple channels., • Ability to build & maintain relationships with ease & a strong communicator with all levels of stakeholders (internally & externally)., • Succinct presentation of data through Excel and PowerPoint., • Time management & effective prioritisation to balance growing existing customers and winning new business., • Are committed to continuous improvement, seeking ways to optimise how we do things., • A team player with a collaborative mindset., • A passion for working in a fast paced & collaborative challenger brand environment! Location: Hammersmith 3 Days Ref: V11687 Salary: Competitive + Bonus

Job Title: Water Treatment Engineer.Salary/Benefits: £25k - £36k + Training & Benefits.Our client is a prestigious and successful Water Treatment / Hygiene specialist, who have a busy presence across the South Eastern region.Due to recently winning new contracts within the M25, they are seeking a

Jigsaw Pinner \n\n Deputy manager \n\n Salary £35,000 Per Annum \n\n 40 hours per week all year round Monday to Friday. \n\n Jigsaw Pinner Day Nursery is a warm and welcoming setting located within the Pinner Free Church, just a short walk from Pinner Memorial Park and the West House & Health Robinson Museum. Its prime location makes it easy to find and access. Currently rated Good by Ofsted, Jigsaw Pinner offers a nurturing environment with three bright and spacious classrooms, as well as a large, all-weather, secluded outdoor area and a nature garden—perfect for children to explore and enjoy. \n\n We are currently seeking a dedicated Deputy Manager to join our team at Jigsaw Nursery School Pinner. Established in 1994 and recently acquired by Family First Day Nurseries, we are looking for someone passionate about early years education to help us continue delivering excellent care. The ideal candidate will hold a Level 3 Childcare Qualification and be able to commit to a full-time role 40 hours per week with flexible shifts between 8:00 AM and 6:00 PM, Monday to Friday. \n\n If you're ready to make a difference in the lives of young children and be part of a supportive team, we'd love to hear from you! \n\n Why Join Us? \n\n At Family First, we value our team members and offer a comprehensive benefits package, including: \n\n\n\t • Annual Leave: Starting at 24 days, plus a paid day off for your birthday and bank holidays \n\t, • Employee Childcare Discounts: 75% off nursery fees for our team member’s\n\t, • Health and Wellbeing: Confidential employee assistance helpline available \n\t, • Career Development: Tailored learning and development opportunities to support your career growth\n\t, • Referral Programme: Refer a friend and earn upto £750\n\t, • Ensure the safety and wellbeing of every child, staff, parent, and visitor at all times.\n\t, • Understand and ensure that the requirements of the statutory framework for the EYFS are met throughout the nursery.\n\t, • Assist in managing the acceptance and administration of medication and ensure care plans are thorough and up to date for children or staff with health conditions.\n\t, • Ensure that all children receive stimulating and purposeful experiences, environments and resources that are appropriate to their age and stage of development.\n\t, • Promote respect and credibility for this position through effective communication skills, impartiality, and consistency.\n\t, • Inspire staff team with creative ideas and new challenges with aim to achieve outstanding practice.\n\t, • Maintain accurate records and accounts relating to children and staff on EyMan system and on file.\n\t, • Full and relevant Level 3 in Childcare qualification - Essential\n\t, • Over 1 years’ experience of working in Early Years - Essential\n\t, • Sound knowledge of the statutory framework for the EYFS and regulatory requirements - Essential\n\t, • Over 1 years’ experience of working in a management position - Desirable.\n\t, • Level 5 qualification in Childcare and/or Management and Leadership - Desirable\n\t

Sales Manager Stamford Bridge Hotel London, at Chelsea Football Clubis seeking a motivated and engaging Sales Manager with experience in hotel (rooms) sales and a passion for hunting new business. Reporting to the Hotel General Manager, working with the commercial team onsite and with The Ascott Lim

A leading retail company in Edgware is seeking a Team Leader to support managers and lead a diverse team in a dynamic and evolving environment.You will play a crucial role in ensuring customers have a unique shopping experience by empowering associates and embracing new challenges.This position offe

Job Title: Water Treatment Engineer. Our client is a prestigious and successful Water Treatment / Hygiene specialist, who have a busy presence across the South Eastern region. Due to recently winning new contracts within the M25, they are seeking a professional and reliable Water Treatment Engineer

Due to recently winning new contracts within the M25, they are seeking a professional and reliable Water Treatment Engineer to cover local, static contracts. Strong experience working as a Water Treatment Engineer. Future Select is recruiting in the Water Treatment/Hygiene industry; we work with the

A leading food and beverages company in Stanmore is seeking a full-time FMCG Grocery Sales Executive. The role involves managing key accounts, achieving sales targets, and identifying new business opportunities in the grocery retail sector.

Use Your Chief Operating Officer Skills in a new direction.

Global Banking institution seeking new IT Auditor. Citrus Global Finance are working with a leading global banking institution to source a new IT Auditor to join their offices in Frankfurt.

Leverage your teaching, presentation, and mentorship skills to connect with professionals seeking change. Self‑driven, organized, and open to new learning. Seeking alignment between career and life purpose.

We are urgently seeking reliable and experiencedWarehouse Counterbalance Forklift Drivers (Friday/Saturday & Monday only)to join the groupage team at ourWitham site.

Warehouse Operative/Van Driver - Electrical WholesaleWarehouse Operative/Van Driver.A Kendal based electrical wholesale firm are looking for a Van Driver / Warehouse Operative to join the team.This role will preferably suit an experienced driver/warehouse operative and o

Our client is seeking a dedicated and reliable Forklift Driver/Warehouse Operative to join their team.

As our village is open 365 days of the year, your working hours will include weekends, public / bank holidays and during Christmas and / or New Year on a rota basis.