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Are you looking for an employer who can offer you opportunities for growth and development in your occupational therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider occupational therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist OT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a ‘Great Place to Work’ for the 6th year running? Does working 4 days a week with FULL pay sound like a dream?!* It doesn't have to be! Have a better work/life balance and come and work for Outcomes First Group! Job Title: Specialist Occupational Therapist Location: Hillingdon Manor School – Middlesex UB8 3HD Salary: Up to £53,200 FTE DOE Hours: 37.5 hours per week Monday to Friday; 8.30am-4.30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. We understand the value of helping our employees develop in their careers. For clinicians to achieve their Continued Professional Development (CPD) goals we offer a £2000 training allowance, so that you can complete role specific training tailored to your individual requirements once your probation has been completed. About the Group: Outcomes First Group is the leading provider of world-class education. Our schools are a vital part of local communities in England, Scotland and Wales, with a renowned reputation for quality and positive outcomes for the children and young people we educate for. Our Acorn schools are there to meet the social and emotional needs of pupils who have faced trauma or adversity, equipping them for life’s important steps. Our Options Autism schools support autistic pupils to value their uniqueness and access the world in their own way. Another division, Momenta Connect, supports young people to overcome barriers and engage with education. While our most recent addition, Blenheim Schools, enables outstanding futures through high-quality independent and international schools. Our Vision Empower every child, whatever their ability, with a world-class education that nurtures potential, inspires lifelong learning, and equips them to thrive in a diverse and evolving world. Our Mission We commit to unlocking our pupils’ potential through personalised learning, innovation, and opportunity, supporting growth and aspirations. Our Promise • WE LISTEN. We never assume., • WE WORK TOGETHER. To make the remarkable happen. The role: We are looking for a Specialist Occupational Therapist to join our in-house clinical team at Hillingdon Manor school Working collaboratively with the education team, you will deliver bespoke Occupational Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Occupational Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding an occupational therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for a Specialist Occupational Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Manor School – Middlesex UB8 3HD – Hillingdon Manor School forms part of our Options Autism brand, and is an independent specialist day school, supporting children and young people aged 11 – 19 For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: • Bsc or Msc in Occupational Therapy., • HCPC registered and member of RCOT, • Relevant experience in a previously held job (LD, SEMH, neurodivergence), • Enhanced knowledge and clinical understanding of OT theory and its practical application, • Experience of multi-disciplinary working in a range of settings, with some responsibility for service & team performance, • Experience of communicating with/working with families/relatives and carers, • Experience of working with autistic children and young people, • Experience of working in an education setting, • Good communication including relationship, analytical and judgemental skills, • Clear understanding of the relationship between behaviour and communication, • Clear understanding of physical needs, dexterity, coordination and sensory skills for assessment and treatment of client group, • Clear understanding of other developmental needs that may impact on an individual and skills needed for independence, • Up to date knowledge of a range of approaches relating to neurodivergence, learning disability and trauma informed practice, • Knowledge of legislation and its implications for both clinical practice and professional management in relation to the client group, • Good clinical reasoning skills and able to confidently express rationale, • Able to engage in quality improvement and enhanced service delivery, • Understanding of information governance, confidentiality and record keeping standards, • Ability to work collaboratively as part of the multi-disciplinary team, as well as support with supervision of staff and students, • Sound knowledge of different assessment tools, intervention programmes and formulation of treatment plans from a range of OT modalities, • Evidence of continuous professional development and consistently undertakes self-development, • Ability and willingness to travel on company business, • Flexible approach to working environments, creative problem solver, • 3+ years practicing as an OT Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward and flexible benefits package including: • £2,000 training allowance, • Life Assurance, • Pension scheme with options to increase your contributions, • Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical health checks, • 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, • Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support., • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 299878 #occupationaltherapy#CareersinEducation#SpecialEducation#CareersinCare #CareersinSpecialEducation #Therapists #specialistoccupationaltherapist

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.

Building Maintenance Engineer Kingston. My client is currently recruiting for a building maintenance engineer based in their site in Kingston. You will have electrical or mechanical qualification as well as experience in commercial maintenance.

PLEASE NOTE THAT THIS IS A UK-BASED POST. ONLY UK-BASED APPLICANTS WILL BE CONSIDERED. THE POSITION IS NOT OPEN FOR APPLICANTS FROM OUTSIDE THE UK. Civil/Structural Engineer Job Description Beta Design Consultants is a firm of consulting engineers developing bespoke engineering solutions to clients in the construction industry. Established in West London in June 2009, we have been providing innovative solutions to local, national and international projects. We are a member of the UK Association for Consultancy and Engineering, an ISO9001/ISO14001 UKAS Accredited firm who holds Gold Membership in Construction Line. We believe in delivering low-zero carbon solutions and are one of the first signatories to the Engineers Declaration of Climate and Biodiversity Emergency. We are looking for a Civil/Structural Engineer to join our office in South West London, Kingston. We are looking for an ambitious team-player with at least five years experience. The position would suit a highly technical engineer, with at least a Master's degree, confident in concept design and in pushing boundaries of design. The following technical skills and abilities would be treated as suitable for our workload: • Ability to design steel and concrete structures and push the design to the limit., • Ability to consider details in connections and optimize connections for fabrication and assembly., • Ability to consider rebar detailing in RC structures., • Ability to adapt skills to work on complex structures such as large span, tower structures, rehabilitation., • Experience in retrofit and strengthening., • Seismic design and the use of EC8, ASCE or IBC., • Bridge inspections and experience in proposing bridge repair solutions., • Building inspections and experience in detailing repair solutions., • Structural investigation and NDT testing., • Familiarity with SCIA/IdeaStatica., • Temporary works design. We are one of the first signatories to the Engineers Declare movement and as such have a passion for delivering very cost-efficient solutions that push the boundaries of what is possible. We provide the following services: • Design and Value Engineering of Structures for Logistics, Data Centres, Industrial Facilities and Energy projects. This may include dynamic analysis and seismic analysis, • Structural investigations and assessments that include intrusive and NDT testing of foundations, buildings and bridges., • Slope stability analysis, retaining walls design, soil-structure interaction studies and design of various types of foundations and ground solutions., • Design of RC Framed Buildings to the Eurocode., • Repair design of RC Framed Buildings. We provide bespoke repair solutions for flexural and shear strengthening, columns strengthening, frames strengthening and modification., • Bridge inspections and principal inspections, followed by repair proposals and strengthening design., • Design of Steel Structures (single storey and multi-storey) to Eurocodes and AISC including application of seismic loads, non-linear behaviour and local/global failure modes., • Design and detailing of Steel Structures., • Modification and strengthening of steel structures including plating, connections strengthening, restoring or adding bracing, reducing loading and repurposing buildings., • Bespoke foundations solutions including rafts, piled rafts, retaining walls, embedded piles, basements. Experience in geotechnical design is a plus., • Temporary works design including propping and shoring of deep excavations. Experience in similar schemes is a plus. As a result of our growth, we are looking for a civil structural engineer to join our team. You will be expected to work on design projects involving concrete and steel mainly. You will also be required to work on site investigation and evaluate design proposals. You will be provided with support to meet the project commitments. You would be expected to start to work autonomously after completing few supervised tasks. Depending on attitude and aspiration, you will be encouraged to participate in business and company development as we are constantly improving our processes. Job Summary • Analysis and design of structural components and systems for various construction projects, including but not limited to residential, commercial, and industrial buildings., • Understanding and preparation of detailed design reports., • Design of roads and strong understanding of the construction regulations, codes and standards., • Conducting site visits and inspections to monitor construction progress, assess structural conditions, resolve any technical issues that may arise., • Conducting building surveys and investigations and preparing investigation reports., • Conducting bridge inspections and preparing inspection reports., • Performing calculations, simulations and analysis to ensure structural integrity and compliance with safety standards., • Structural assessment of existing buildings., • Design and understanding of drainage systems and their construction methods., • Earthworks, cut and fill and retaining walls design and specifications., • Managing and running structural design projects with autonomy (building repairs, residential developments, civil engineering designs for foundations and retaining walls)., • Liaising with contractors, clients and architects., • Representing the company at design team and contractor/client meetings and business., • Development/networking events as may be required., • Communicating clearly with team members, manager and contractors, architects, clients. Required Attributes • Educated to degree level or equivalent in structural or civil engineering. A UK MEng/MSc is a minimum requirement. A European degree would have to be four years as a minimum., • Minimum five years design experience with exposure to British Standards, European Codes or American Codes., • Good organisational and interpersonal skills, • Good technical writing and presentation skills, • Effective analytical and problem-solving skills, • We have a track record of successful completion of residential, commercial and industrial projects to client's satisfaction., • We specialize in bespoke solutions for steel structures (single storey, multi storey, façade supports, residential refurbishment)., • We have a track record in completing the repair and refurbishment of RC framed buildings. We use traditional strengthening, jacketing, composite repairs (fibre reinforced polymers) or high-performance concrete., • We have a loyal client base who use our steel connections design service and steel detaining service., • Our current design team of 5 people would support the growth of the new team member and offer flexibility and recognition opportunities. Job Type: Full-time, Permanent We provide a safe working environment based on government guidelines. We do not support working from home. We work from a small office in a very professional setting. Job Types: Full-time, Permanent Additional pay: • Bonus scheme, • Performance bonus, • Casual dress, • Company pension, • Flexible schedule, • Gym membership, • 8-hour shift We provide a safe working environment based on government guidelines. We do not support working from home. We work from a small office in a very professional setting. Education: • No

Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering billions of consumer electronics, connected cars and digital content titles, we make entertainment more immersive, driving more intelligent and every interaction seamlessly personalized through our renowned consumer brands: DTS®, HD Radio™, and TiVo®. Xperi (NYSE: XPER) is a publicly traded technology company headquartered in San Jose, CA with employees across North America, Europe and Asia. Come join a thriving team where you can play an integral role in shaping the future of entertainment technology. All In Media (___) is a leader in the radio technology industry, supplying broadcast systems and mobile apps to broadcasters across the world. The company has a range of products and services that we provide to radio stations across the world. These include broadcast systems, mobile apps, integrations with Sonos, Apple CarPlay, Android Auto, Apple Watch and Android Wear. Our studio broadcast system, Rapid, has recently won the NAB Product of the Year award, and is used to by hundreds of radio stations across the world. We have released over 500 apps, and dominate the UK, Irish & Australian markets. We have recently expanded our business to the USA. We work with several major radio groups across the world, including the ABC, BBC, Bauer, Global Radio, Hubbard Broadcasting, MediaCo, New York Public Radio, Nova Entertaiment, and SBS. We have a fantastically talented team, and this is a great opportunity for someone to join our team in Twickenham, London, and help us to continue to grow our business serving radio customers with our products and services. About the role: We are looking for an experienced Android Staff Engineer to join our UK team in Twickenham and help build world-class apps for radio stations across the globe. Our apps reach millions of users on mobile, TV, and automotive platforms, delivering seamless audio experiences everywhere. As an Android Staff Engineer, you will play a key role in designing and developing high-quality Android applications, mentoring other engineers, and driving technical excellence across the team. What you will get to do: • Lead the development of Android applications using Kotlin and Jetpack Compose., • Collaborate with cross-functional teams to define architecture, design patterns, and best practices., • Ensure robust, scalable, and maintainable code through code reviews and technical guidance., • Work on apps that integrate with Android Automotive, Android Auto, Android TV, and support audio streaming., • Contribute to the full software development lifecycle: planning, development, testing, deployment, and maintenance., • Advocate for automation in build, testing, and deployment processes. Must have: • Strong expertise in Kotlin and Jetpack Compose., • Solid understanding of software development processes, including agile methodologies., • A fundamental understanding of coding and an ability to work things out from first principles., • Excellent attention to detail, and a desire to be proud of what you do., • Audio streaming technologies, • Android Auto and Android TV, • Firebase services, • Client/server development, • Automated build and testing pipelines, • Experience with RESTful API’s, • The ability to propose, design and develop solutions that scale, • Keen troubleshooting skills and practiced agile development methodology, • Ability to work in a distributed team, with the confidence to work independently as well as seek assistance and work collaboratively when required., • Excellent written and oral communication skills, • Expert problem-solving skills Life @ Xperi: At Xperi, we value People, Customers, Performance and Innovation. We are dedicated to creating a workplace where all employees have a voice and sense of belonging, feel safe and valued, and are acknowledged for how their unique differences contribute to organizational culture and business outcomes. Our employees and their families are important to us, and our comprehensive pay, stock and benefits programs reflect that. Xperi supports personal well-being, builds financial security and enables employees to share in our collective success. Rewards include: • Competitive compensation (salary, equity and bonuses) and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future., • Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community., • Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities., • A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.

Building Maintenance Engineer Kingston. My client is currently recruiting for a building maintenance engineer based in their site in Kingston. You will have electrical or mechanical qualification as well as experience in commercial maintenance.

He or she will be required to carry out planned and reactive building maintenance alongside the maintenance team on-site. Mechanical Maintenance Engineer - FM Service Provider - Hospital - Isleworth- Up to £45,219. Basic electrical duties (Lamp changes etc).

Telesales Executive Dental by Design – Hammersmith, London (On-site) Turn Enquiries Into Action – Join Dental by Design Dental by Design is redefining what private dental care means in London. As we continue to grow, we’re looking for a confident, commercially minded Telesales Executive with strong B2C sales experience to take ownership of inbound enquiries and convert them into booked appointments. This role is about sales, conversion, and customer experience. You’ll be the first person prospective patients speak to—and the person who gives them the confidence to take the next step. If you’re used to selling high-consideration services to consumers and know how to build rapport quickly, this role will suit you perfectly. The Essentials • Position: Internal Sales & Patient Conversion Advisor, • Location: Hammersmith, London (modern private clinic), • Responding promptly and professionally to inbound enquiries via phone, email, and web forms, • Building rapid rapport, understanding customer needs, and confidently guiding conversations forward, • Converting warm B2C enquiries into booked consultations, • Managing a high daily volume of leads while maintaining a premium, personalised approach, • Following up consistently to maximise conversion rates, • Updating CRM records accurately and maintaining clear enquiry notes, • Working closely with front-of-house and clinical teams to ensure seamless handover, • 2+ years’ B2C telesales or inbound sales experience (e.g. private healthcare, dental, aesthetics, property, automotive, travel, education, fitness, luxury services, or similar), • A confident communicator who builds trust quickly and knows how to close, • A proven track record of converting enquiries into bookings or sales, • Comfortable working to targets and KPIs in a fast-paced environment, • Highly organised, proactive, and excellent at follow-up Why Join Dental by Design? • Warm inbound leads only — no cold calling, • Structured training and support to help you succeed, • Clear progression opportunities within a growing private clinic group, • Modern, well-connected Hammersmith location, • Meaningful work helping people take an important first step towards better confidence and health

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’re looking for a commercially driven Senior Manager, Ecommerce, Retail to lead our growth across key offline and online retail channels (excluding Amazon and DTC), • This role will be responsible for developing and executing channel strategies that drive sustainable revenue, profitability, and brand growth., • The ideal candidate is a hands-on commercial leader with strong account management experience, capable of balancing strategic thinking with day-to-day execution., • You should bring a solid understanding of retail dynamics, ecommerce pure players, , ideally within the pet, FMCG, or supplement categories. Key Responsibilities: Commercial Ownership • Own the P&L and deliver revenue and profit targets across ecommerce (excluding Amazon and DTC), retail., • Build and execute joint business plans with key customers to maximise growth and profitability., • Identify and secure new commercial opportunities across emerging ecommerce. Account Management • Manage relationships with key UK and PAN EU retail and ecommerce accounts, ensuring excellent customer engagement and execution., • Negotiate annual terms, promotional calendars, and in-store/online activations., • Drive optimal product assortment, pricing, and visibility across channels. Ecommerce Strategy • Partner with online retail customers and pure players to optimise content, promotions, and conversion performance., • Collaborate with marketing to drive visibility and traffic through effective media and trade marketing initiatives. Planning and Reporting • Lead monthly performance reviews, forecasting, and annual planning cycles., • Use data and insights to track performance, identify risks/opportunities, and build corrective action plans. Cross-Functional Collaboration • Work closely with marketing, supply chain, and finance to ensure flawless execution and customer satisfaction., • Serve as the commercial voice of the customer within the organisation. 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 across retail, ecommerce., • Proven success managing major retail or online accounts (pet, FMCG, or supplements preferred)., • Strong commercial acumen with P&L management experience., • Experience launching and scaling brands through retail and international channels., • Demonstrated success in a hands-on, fast-paced environment., • Hands-on operator: comfortable managing the details as well as the big picture., • Commercially astute: strong negotiation and financial management skills., • Analytical mindset: able to interpret data and translate insights into action., • Collaborative and influential: works effectively across teams and with external partners., • Results-oriented: highly accountable, focused on delivering targets., • Pet industry experience (or a strong interest in it) is a major plus., • Excellent communication and collaboration skills., • Fluent in any other languages is a plus, • 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.

Summary\n 49,500*- 66,000* per annum | 35 days holiday (pro rata) | 10% in-store discount | Pension scheme Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. Were curious, collaborative, and ready to make a tangible impact on where we work. Just like you. Our Head Office Property Department is looking for a motivated and dedicated Consultant to join the Property Portfolio Team. This is the heart of Lidl GBs Property Team where regional proposals for new stores, regional distribution centres and our existing portfolio are analysed and presented to the board. It is an exciting area of the business with exposure to senior management and an opportunity to showcase your expertise and knowledge. At Lidl, we offer a hybrid working model to give you the best of both worlds. Spend three days or more in our state-of-the-art office, where you can enjoy an on-site gym, restaurant, and more of the perks you deserve. And with up to two days at home, youll find the work/life balance you need to thrive. What you'll do\n • Reviewing store and warehouse expansion proposals (new and existing) and presenting to Senior Management and the Board of Directors, • Ensuring due diligence and compliance of all submitted proposals, • Undertaking Feasibility assessments on proposals inc Profitability and Return on Investment, • Ensuring compliance with legal requirements and operational specifications (internal policies etc), • Reviewing legal contracts and presenting to the Board of Directors, • Taking the lead on ad-hoc project work, • Liaising with and providing support to the Regional Property Offices in relation to store development proposals and Head Office stakeholders regarding warehouse development proposals, • Building relationship and coordination with relevant internal and external stakeholders, • Providing support with in-house property systems and procedures, • Presenting key findings and action points to the team following store / warehouse proposal review, • Store lifecycle analysis, • Administration (document management, trackers and logs) and system management in relation to the presentation and analysis of store and warehouse proposals, • Accountable for a diverse range of property matters, providing assistance to both your property associates, Team Manager and senior management as required, • Continuously understanding the companys bigger picture, and the role of property within the organisation as a wholeWhat you'll need\n, • A background or experience in Real Estate, • Experience in portfolio management would be advantageous, • Preparing & Reviewing development appraisals and real estate contracts would be beneficial, • A high level of due diligence to ensure that proposals are presented with accuracy and in line with company guidance is essential, • Solid communication and presentation skills, • Strong organisational skills, and an ability to work to regular weekly deadlines whilst remaining calm under pressure, • Ability to identify risks and problem solve pragmatically, • The ability to work independently and as part of a team, whilst on occasion leading project work, • An inquisitive mindset, not afraid to scrutinise and ask questions, • Numeracy skills, with the ability to understand financial appraisals / return on investments, • Proficiency in Excel, and an ability to grasp new in-house systems and procedures, • Drivers license is advantageous, • German language skills are beneficial but not essential What you'll receive\n • 35 days holiday (pro rata), • 10% in-store discount, • Enhanced family leave, • Pension scheme Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment If youre ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. *includes 10% non-contractual London Weighting allowance

We are now recruiting for a Building Service Engineer to join our team, carrying out PPMs and Reactive Maintenance works to the site!. As our Building Services Engineer you will assume responsibility for:. KUSCO (Kingston University Service Company Ltd) is a wholly owned subsidiary company of Kingst

Learning Support Assistant The role is a Permanent, Term-Time only role Monday to Friday (08:30am – 17:00pm) (approx. 36 teaching weeks per annum) No working required during school holidays Salary from: £27,008 - £29,700 pro rata, depending on experience (£23,150 - £25,457 salary for term-time, 36 weeks pa) To Start: Spring Term 2026 • Are you outgoing and confident with consistent energy and enthusiasm?, • Are you pro-active?, • Do you enjoy working in an environment that is constantly changing?, • Do you have a passion for learning and positive re-enforcement? Our special outstanding school is constantly growing, providing a supportive, nurturing learning environment for more and more children. Due to this expansion we have an opportunity for you to be a part of a transdisciplinary team of dedicated friendly Teachers, Therapists and Learning Support Assistants. What the role involves: You will not find yourself getting bored in this role! Each day brings new challenges, opportunities for development and to demonstrate your supportive skills as a Learning Support Assistant. Your role may involve providing ad-hoc or dedicated 1-1 support to specific children and providing whole-class support in lessons. You’ll also help maintain the learning environments, assist with administration and provide ad-hoc management or support with challenging behaviour. We offer: • A supportive working environment in a modern, well-equipped building., • Small class sizes and the opportunity to work 1-1 with children where possible., • Support from an enthusiastic and dedicated team of Therapy staff and Teachers who will work alongside you in the classroom. Our Speech & Language Therapists, Occupational Therapists, Physiotherapist, Art Therapists, Music Therapists, and Play Therapists aim to maximise each child’s potential in a nurturing and supportive environment., • Continued professional development and training., • The opportunity to obtain a City & Guilds accredited training course in Behaviour Support Management while working here. We will also train you on how to use Makaton, a unique language programme that uses symbols, signs and speech to enable people to communicate., • An opportunity to pursue a career in Teaching or Therapy where applicable., • Great staff non-contractual benefits such as free lunch on Fridays, termly wellbeing claims, annual bonuses and pay rises and a friendly nurturing environment., • Close to a good transport network and on-site free parking is available., • Supporting our students can sometimes be challenging, mental and physical resilience are qualities necessary for all our staff., • Confidence, enthusiasm and a passion for learning., • Good English (clear written and spoken English) and numeracy skills., • Knowledge and experience of behaviour management., • The ability to build good working relationships with children, teachers, parents and carers., • Experience of working with children with Special Education Needs (SEN), particularly children on the Autism Spectrum., • The ability to manage a small group of children with complex social communication needs. Click on the 'Apply now' button below. You can find the application form in the supporting documents below. Please upload your CV and a completed application form. The closing date for applications is 22nd February 2026 This role is subject to the relevant Safeguarding checks, which will include an Enhanced DBS check, the disclosure of criminal records and vetting checks. We can only shortlist based on completed applications and not CV’s alone.

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