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Job Description Oncology Pharmacist Springfield Hospital Full Time - 37.5 Hours Fixed Term Contract ending April 2027 Springfield Hospital opened in 1987 and is one of Essex’s leading private hospitals. It is a 64-bedded hospital all with ensuite facilities, with parent and child rooms, a 14-bed Day unit and a high dependency unit. The role A fantastic opportunity has arisen for an enthusiastic and highly motivated and experienced Oncology Pharmacist to join Springfield Hospital. The successful Oncology Pharmacist will be expected to take ownership of the service and to work closely with the Pharmacy Manager to deliver excellent levels of service to patients. As the Oncology Pharmacist, you will work within a team of Pharmacists and Technicians providing clinical, technical and prescribing support to the hospital. * Collaborate with Consultants to produce and review new SACT protocols, working alongside the Lead Cancer Pharmacist and peers from other hospitals. * Verify prescriptions for SACT and supportive treatments. * Oversee the ordering, storage, supply, and billing of SACT; support staff training and accreditation; review and develop related procedures. * Provide specialist input into patient information and communication regarding SACT treatment. * Support and train staff in the use of the hospital’s SACT EPMA system. * Assist in implementing corporate SACT policies, procedures, and training programmes within the hospital. * Contribute to the development of cancer pharmacy services and staff. * Review SACT audits, incidents, and usage data to ensure safe and cost-effective treatment. * Collaborate with cancer services pharmacists across hospitals and represent Rivers Hospital on the SACT Committee. * Provide pharmacist cover outside of cancer services when required. What you will bring with you: * Clinical pharmacy services in haematology/oncology within secondary care. * Appraisal of new medicines. * Delivery of training to pharmacy staff. * Experience in audit and incident review. * Training delivery to cancer services pharmacy staff. * Appraisal of new SACT. * Familiarity with EPMA systems. * Peer review experience in cancer pharmacy services. * MPharm or equivalent. * GPhC registered pharmacist. * Postgraduate qualification in clinical pharmacy (e.g. Certificate or Diploma). * BOPA SACT Verification Passport. * Member of BOPA. * Awareness of resources supporting SACT services. * Understanding of cancer standards relevant to pharmacy. Benefits * * Buy & Sell Flexi Leave Options * Private Pension (up to 5% matched after qualifying period) * Flexible shift patterns (where possible) * Enhanced Parental Leave Policies * Private Healthcare (includes online GP) * Life Assurance * Free Training & Development via Ramsay Academy * Free On-site Parking (where possible) * Subsidised Staff Restaurant (where possible) * Over 8,000 discounts via benefits portal * Discounted cinema tickets via dedicated portal * Access to Blue Light Card Scheme About us Ramsay Health Care UK is a well-established global hospital group with over 50 years’ experience. We are a global provider operating in 11 countries with 77,000 staff who treat 8 million patients each year. It is well respected within the healthcare industry and is one of the leading providers of independent hospital services in England. We are well known for our strong, long-standing relationship with the NHS. We love people with a positive, “can do” attitude who want to make a difference in their work. "Our employees are Ramsay." The skills and commitment of our employees forms the basis for our success. We know our people are our greatest asset, our business is growing and we would like you to join us. “The Ramsay Way” culture recognises that people – staff and doctors – are Ramsay Health Care’s most important asset and this has been key to our ongoing success. We are proud of our ‘Speak Up for Safety’ programme and ensure that the patient is at the heart of everything we do. Join us and have more ‘Time to Care’. Please contact Amy on to ask any questions before applying. Please note - we do not accept email applications please apply via We are committed to equality of opportunity for all. This position is subject to an Enhanced DBS check. We value your application and welcome any questions you may have prior to applying. Please be advised that we reserve the right to close our advertisements prior to the announced closing date to ensure a quality recruitment process. We care. It’s more than what we do, it’s who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. “The Ramsay Way” culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK’s Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD’s Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date Lift Bexleyheath is seeking a talented and enthusiastic Media Teacher to join our forward-thinking team. In this exciting role, you'll teach Media Studies across Key Stages 4 and 5, while also contributing to the wider delivery of combined Computer Science, Business and Media to Key Stage 3. We're looking for someone who can bring creativity, curiosity, and real-world relevance into the classroom, helping our students explore how media, technology, and enterprise shape the world around them. Whether you're an experienced teacher or early in your career, you'll find a welcoming, collaborative environment where your ideas are valued and professional growth is encouraged. We're looking for someone who: • Is a qualified media teacher with QTS or working towards, • Can teach engaging, inclusive lessons across KS4 and KS5., • Enjoys making links between Media, Computer Science, and Business. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interview date: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. , Location: Romford, ENG - RM1 4ED

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date We are seeking an enthusiastic and inspiring Humanities Teacher to join our team. This is an exciting opportunity for a passionate educator who can deliver engaging lessons across History, Geography, and Religious Education at Key Stage 3. About the Role: • Teach a broad range of humanities subjects (History, Geography, and RE) to KS3 students., • Inspire curiosity and critical thinking, helping students to understand the world around them and their place within it., • Work collaboratively with colleagues in a supportive and forward-thinking department., • Have a strong background in one or more humanities disciplines., • Able to deliver engaging and well-structured lessons across all three subjects at KS3. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Humanities & Arts Teacher, Location: Romford, ENG - RM1 4ED

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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.

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date We are seeking a creative and committed Teacher of Geography to join our thriving Humanities team. This is an exciting opportunity for an enthusiastic practitioner-whether an Early Career Teacher or an experienced educator-who is eager to inspire students and develop a love of Geography. Geography is a popular and well-regarded subject, with strong uptake at Key Stage 4 and a curriculum that encourages curiosity, critical thinking and a deep understanding of the world around us. You will teach across Key Stages 3, 4 and Key Stage 5, within a supportive department that values collaboration, high expectations and innovative teaching. What we're looking for: • A qualified Geography teacher with strong subject knowledge, • An engaging classroom practitioner with high expectations of all learners, • A team player who is keen to contribute to curriculum development and enrichment Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. This is a full time, permanent position. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Geography Teacher, Location: Ilford, ENG - IG2 6PF

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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.

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Fixed term (December 2026) Start date: As soon as possible We are seeking an enthusiastic Teacher of Business to join our forward-thinking team. This is an exciting opportunity for an ambitious teacher to deliver engaging Business lessons across KS4 and KS5, while also contributing to our KS3 Innovation & Technology curriculum. About the Role • Teach Business Studies at GCSE and A Level, inspiring students to think critically and creatively about the world of enterprise, finance, and marketing., • Deliver engaging and practical Innovation & Technology lessons at KS3, helping younger learners develop problem-solving, design, and entrepreneurial thinking skills., • Work collaboratively within a supportive department that values creativity, teamwork, and professional growth., • A qualified teacher (QTS) or working towards with a strong subject knowledge in Business Studies., • Able to deliver high-quality lessons that motivate and challenge students. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Business Teacher, Location: Ilford, ENG - IG2 6PF

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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.

Behaviour Mentor Redbridge - £95-£105 per day (dependent on experience) Immediate start Full Time Behaviour Mentor Extensive experience with children with SEMH needs required Behaviour Mentor Experience with children with SEN required Behaviour Mentor Strong behaviour management skills required Behaviour Mentor Required full time ASAP Do you have previous experience with students with SEN/SEMH?... ZIPC1_UKTJ

From every day life, to changing someone's world.Support Worker – BrentwoodSalary: £12.Contract Type: Part Time 22 hours per week.Shifts: Typically 10 or 12 hours (e.Driving Licence Preferred: Full UK Manual.Are you looking for a career where you can make a genuine difference every

CNC Machine Setter (4-Axis Turning) Location: Rainham, Essex Salary: £17 + per hour (Dependent on experience) Contract: Permanent, Full-Time (40 Hours) Shift Patterns Available: • Day Shift: 08:00 16:30 (or 06:00 14:30), • Night Shift: 19:00 05:30 The Role Join the renowned Perrin & Rowe Brassware team in Rainham. As a CNC Machine Setter, you will be the technical expert responsible for setting and support... ZIPC1_UKTJ

Complete online training designed to take you from zero experience to your first Cyber Security role. Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and i

Job Title: Registered Care Manager Location: Ilford, Redbridge Salary: £35000-£45000per annum (Based on experience) Job Type: Full-Time, Permanent About Us: Verity Healthcare Limited is a trusted provider of high-quality care services dedicated to enhancing the lives of individuals in our community. We provide domiciliary care services and are committed to delivering compassionate and personalized care that meets the unique needs of each of our clients. Our team of professionals is passionate about making a positive difference in the lives of those we serve. The Care Manager Role: We are seeking an experienced and compassionate Care Manager to join our team. In this role, you will be responsible for overseeing the delivery of care services, managing a team of care staff, and ensuring that our clients receive the highest standard of care. The ideal candidate will have a strong background in care management, excellent leadership skills, and a deep commitment to providing person-centered care. Care Manager Key Responsibilities: • Oversee the day-to-day operations of care services, ensuring that all clients receive high-quality, person-centered care., • Manage, support, and mentor a team of care staff, including scheduling, performance evaluations, and ongoing training., • Develop and implement individualized care plans in collaboration with clients, families, and healthcare professionals., • Conduct regular assessments and reviews of care plans to ensure they meet the changing needs of clients., • Ensure compliance with all relevant regulations, standards, and policies, including CQC requirements., • Handle client inquiries, concerns, and complaints, resolving issues in a timely and effective manner., • Monitor and manage the budget for care services, ensuring efficient use of resources., • Maintain accurate and up-to-date records, including client care plans, staff schedules, and incident reports., • Build and maintain positive relationships with clients, families, staff, and external stakeholders. Care Manager Requirements: • Proven experience as a care manager or in a similar role within the healthcare or social care sector., • Must have a full UK driving license., • Strong understanding of care regulations, standards, and best practices., • Excellent leadership and people management skills, with the ability to inspire and motivate a team., • Exceptional communication and interpersonal skills, with a compassionate and empathetic approach., • Ability to develop and implement effective care plans tailored to individual client needs., • Proficiency in managing budgets, resources, and scheduling., • Relevant qualifications in health and social care, such as a Level 5 Diploma in Leadership for Health and Social Care., • Experience with CQC inspections and compliance is highly desirable. Benefits: • Competitive salary with opportunities for career progression., • Comprehensive health and wellness benefits., • Support for ongoing professional development and training., • Flexible working arrangements and a supportive work environment., • The opportunity to make a meaningful difference in the lives of clients. How to Apply: If you are a dedicated care manager with a passion for delivering exceptional care, we would love to hear from you. Our Commitment to Safer Recruitment: Verity Healthcare is committed to safeguarding and promoting the welfare of our clients. As part of our safer recruitment process, all successful applicants will be subject to a thorough vetting process, including • Enhanced Disclosure and Barring Service (DBS) check., • Verification of qualifications and experience., • Comprehensive reference checks, including a recent employer reference., • Right to work check

Trainee Cyber Security Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Cyber Security role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and incident response, while building practical experience with Live Labs. The programme includes earning CompTIA certifications (A+, Network+, Security+) recognised by UK employers, expert tutor support throughout your studies, dedicated job placement support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure cyber security roles within 3 months. Starting salaries: 28,000 38,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Cyber Security? Limited spaces available. Apply now for the next available cohort.

Trainee Business Analyst Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Business Analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, including business process modelling, stakeholder analysis, and requirements engineering, while building practical experience with real-world case studies. The programme includes earning BCS certification recognised by UK employers, expert tutor support throughout your studies, dedicated recruitment support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure business analyst roles within 3 months. Starting salaries: 30,000 40,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Business Analysis? Limited spaces available. Apply now for the next available cohort.

An excellent opportunity for an experienced Bench Joiner / Cabinet Maker to join a well-established company.Full-Time, Self-employed position.Competitive Salary, Depending on Experience Starting from £22 Per Hour.Monday Friday, Day Shift with overtime available.The company are seeking a dedica

Job Title: SEN Teaching Assistant Location: Romford, London Start Date: ASAP or February 2026 Pay Rate: £90-£95 per day (depending on experience) Contract: Full-time, long-term Year Group: KS1/KS2 (1:1 support) Teacher training available from September 2026An exciting opportunity has ari

Are you someone that enjoys working with individuals with additional needs?. Primary SEMH Teaching Assistant Havering, London January or February 2026 start Full Time Contract (Monday-Friday 8:30-4pm) Long term contract until July 2026 Permanent from September 2026 £90 - £115 per day**

Part-Time PPA Primary Teacher Dagenham Heathway £180 – £230 per day Part-time | Long-term We are seeking a qualified PPA Teacher to provide PPA cover in a friendly primary school in Dagenham Heathway. Role includes: * Delivering PPA cover across EYFS, KS1 & KS2 *

We are in need of multiple Van Delivery Drivers for their 'next day to store delivery' services to work on an ongoing/full time basis. We are in need of day drivers on a 7 day a week operation - (we will work around your availability), starting between 0500-0800 working a 8-10 hour shift. Van drivin

If you're interested in this Science Teacher role, please contact Alexandra Mayhew-Lewis at Veritas Education. Science Teacher Pay: £150+ a day Full-time/ Term Time onlyIlford. We are looking for a dedicated and adaptable Science Teacher to join our specialist SEMH school.

Job Type: Full time We have a new opportunity for a Senior Site Manager to join our team within Vistry East London, at our site in Barking, IG11 7BG. As our Senior Site Manager, you will organise resources and to direct the management of designated development projects to achieve progressive project completion to quality and specification and on budget. We value in-person collaboration and team culture, but we’re also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Company car, car allowance or travel allowance, • Salary sacrifice car scheme available to all employees, • Up to 33 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Employee rewards portal with many more benefits…, • Behave in line with our company values – Integrity, Caring and Quality, • Valid SMSTS certificate, • Valid First Aid at Work certificate, • A proven background in new build housing site management, • NHBC knowledge and experience, • Proven ability to manage projects and deliver quality work on time, within budget, • Able to work as part of a team as well as autonomously, • Able to demonstrate a thorough understanding of Health & Safety legislation, • Thorough, with strong attention to detail, • Strong Time management skills with an ability to prioritise, • Proficient in MS Office programmes; particularly Word and Outlook, • Ability to build productive stakeholder relationships, • Ability to communicate well with individuals at all levels, • Strong leadership skills with an ability to mentor and develop others, • NHBC experience preferable, • PIJ winner preferable, • Major House Builder experience, • NVQ Level 6, BTEC diploma in Building Construction or similar, • Valid Scaffold Appreciation certificate, • Valid LOLER certificate, • Achieved PIJ Award in previous role, • To direct the necessary labour, plant, staff and equipment to achieve both plot and project completion on time, to specification and within budget., • Monitor that the Buying team and Surveying department order the correct materials and sub-contract services in good time to meet contract objectives., • Manage site teams by monitoring performance against contract targets and instigating any necessary corrective actions., • Ensure compliance with Group Safety Policy and Health and Safety Regulations., • Ensure that staff and operatives are managed and led effectively by developing the skills and attitudes of managers leading to provision of a working environment that engenders high morale., • Train and develop subordinates to meet current and assessed future requirements., • 100% compliance with current NHBC standards., • Achieve 95% overall satisfaction levels on the completed Customer satisfaction survey questionnaire., • Establish that staff training and development has occurred as plan at annual appraisal and appraisal review stages. Join us in making Vistry. #LI-HA1

Job Type: Full time We have an exciting new opportunity for an Assistant Technical Manager to join our team within Vistry Services, at our Brentwood office working within our Special Projects division. As our Assistant Technical Manager, you will be responsible for providing technical and administrative support to the technical management team in the planning, co-ordination and design functions on each allocated project from Tender to Post Contract. We value in-person collaboration and team culture, but we’re also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Company car, car allowance or travel allowance, • Salary sacrifice car scheme available to all employees, • Up to 33 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Employee rewards portal with many more benefits…, • Behave in line with our company values – Integrity, Caring and Quality, • Experience and understanding of maintaining Technical schedules, • Able to work on your own initiative with minimal supervision in an assistant and administrative., • capacity, • Written and verbal communication skills, • Excellent attention to detail, • Able to build and maintain relationships with both internal and external partners, • Strong IT skills and experience of using computers, preferably Excel, Power Projects & Word., • Ability to prioritise and organise our work, • Knowledge and understanding of residential or contracting developments, • Professional qualification from recognised institution or experience in an appropriate role, • Evidence of an understanding of financial, legal, and planning processes., • Architecture, Engineering or Project Management experience in either a development, • company or professional practice., • An ability to effectively communicate with all levels of management with respect to Client,, • Professional Practices and site operators, both internal and external to the Company., • An understanding of the construction process., • Experience in a similar role., • Experience using a document management system such as Viewpoint/4P/Docelite, • Assist the Technical Managers in compiling Pre-Construction Information Packs, O&M and, • H&S Files and other handover documentation packs., • Support collation of QA records for final record information packs., • Assist the Technical Managers with checking of all drawings., • Monitor sub-contractors’ approvals and keep up dated approvals schedule in line with build, • Update and co-ordinate technical reports and schedules, • Set up EDMS system for all jobs., • Assist training new Technical Administrators that join., • Assist with creation of and update Logistics Plans with Construction team., • Liaise with Local Authority, Building Control and Warranty providers for approvals and, • Create and update Local Authority, Building Control and Warranty schedules and approvals., • Assist with setting up central project directories and utility contact lists., • Monitor and obtain all critical certificates to ensure documentation is in place for handovers., • Assist with obtaining section agreements and technical approvals., • Assist in obtaining local authority licencing quotes and utility company quotes., • Obtain licences as required for road closure, build over, over sail etc, • Ensure all CDM documentation is up to date for the role of PD under the CDM regulations, • Ensure the RAMs are approved in line with programme and approval schedule kept up to date, • Assisting the technical manager and document controllers in ensuring accurate and effective, • information management including filing and distribution., • Support consultants, subcontractors, clients and client in the use of the EDMS., • Attend site meetings as required to assist the Technical Manager Join us in making Vistry. #LI-WS1

Job Type: Full time We have an exciting opportunity for a Finance Analyst to join our team within Vistry London Division, at our Brentwood office. As our Finance Analyst, you will support the Divisional Finance Team and Regional Finance Director in the provision of internal/external reporting (with a focus on joint venture activities), financial control, and financial/commercial analysis. We value in-person collaboration and team culture, but we’re also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Salary sacrifice car scheme available to all employees, • Up to 33 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Employee rewards portal with many more benefits…, • Behave in line with our company values – Integrity, Caring and Quality, • Strong academic record, • Strong GCSE/A levels or equivalent, • Recognized accountancy qualification (i.e. ACA/ACCA/CIMA or equivalent), • Very good understanding of Microsoft Office, Outlook and particularly Excel is vital, • Excellent analytical and organizational skills, • Strong mathematical and IT skills, • Ability to work to a high degree of accuracy, • Good understanding of the business, • Ability to explain technical financial information clearly to non-finance people, • Ability to work under pressure and meet deadlines, • Attention to detail, • Able to communicate to individuals at all levels, • Good team working skills, • Time management, • Honest and discretion, • Construction/housebuilder industry experience, • Experience using COINS (ERP system), • Review outputs from junior members of the team (month-end / banking journals, JV/JC Funding requests, debtor analysis etc.). Coach and mentor junior members of the team., • Completion of monthly management information relating to our joint venture activities., • Regular chasing and reporting of outstanding debtors., • Support the Divisional FC in maintaining a strong financial control environment across the Division (including maintenance of balance sheet reconciliations) and in providing technical accounting support and challenge to the Regions., • Execution of HY and FY external reporting requirements of the London Division and its Joint Ventures, building good working relationships with Group Finance and the External Auditors., • Support the wider operations of the Regional business unit, liaising with Commercial / Development / Sales and Marketing teams to provide financial insight and support alongside the Regional Finance Director., • Support in the delivery of new initiatives to improve current systems and processes., • Ad Hoc reporting and generation of information to support joint venture activities. Join us in making Vistry. #LI-HA1

Job Type: Full time Our Graduate Real Estate Pathway is the perfect place for aspiring Land Managers, Development Managers & Planning Managers, or anyone with a natural interest in land acquisition, planning policies or project management. This pathway is tailored to expose you to key areas of the business that will develop you into a strong all-rounder within the Real Estate field. This pathway includes rotations within the business areas below, all constructed with key learning objectives in mind to equip with you all of the knowledge you need: Land & Partnerships > Technical > Commercial > Development> Regional Finance > Construction> Development & Land Based in our Brentwood office from September 2026, you’ll rotate through all these areas across your 18 months programme, starting and finishing within the Land & Partnerships or Development department. During your final rotation, transition talks are held with the possible opportunity to transition into the Land, Partnerships or Development teams once all of rotations have been completed. Taking the next step onto the Real Estate career path. Due to high interest, we may close applications earlier than expected. If this role appeals to you, we recommend submitting your application at your earliest convenience. • Competitive basic salary and annual bonus, • Car allowance or company car, • Up to 34 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Follow the Real Estate Pathway, completing all rotations to the best of your ability and meeting the targets set to you by each rotational supervisor., • Take all learning opportunities that are presented to you through the programme, seeking ways to further develop and challenge yourself., • Integrate yourself into each team that you work with along your pathway, supporting each team to achieve their goals and establishing meaningful, long lasting professional relationships., • Absorb the knowledge, expertise and advice given to you throughout your rotations by our talented teams, ask questions and probe to develop your understanding., • Contribute to continuous development within Vistry Group by being proactively involved in key business initiatives, projects and launches. Offering ideas and suggestions where opportunities are identified., • Be an active member of the Vistry Group Graduate community, supporting your peers, taking part in (and occasionally hosting) quarterly Graduate meetings, attending masterclasses and professional development opportunities., • Act as an advocate for careers in Construction, to effectively represent Vistry Future Talent at careers events, fairs and other engagement opportunities., • Act as a buddy to future new Graduates joining the community, to ensure that they are positively supported through their learning journey., • Commit to completing further study, qualifications and accreditations as appropriate, should you wish to undertake further professional development., • Positively engage with your leaders and support system throughout the programme, regularly meeting to discuss your progress, identify areas for further focus and development and seek advice. We build more than homes, we’re making Vistry. Being a responsible developer and award-winning employer means we live each day through our ethos - doing the right thing. Our behaviours reflect this, as well as our values of integrity, caring and quality. Shaping all we do; they empower us to develop sustainable communities across affordable and private housing. We work in a partnership-led way, and you’ll recognise our renowned brands Bovis Homes, Linden Homes and Countryside Homes. Together with Vistry Works, our manufacturing operation, and the functional support of Vistry Services, we’re a proud UK Green Building Council member, UK top five housebuilder with a five-star House Builders Federation (HBF) customer satisfaction rating, and winner of many awards including Top Employer, Global Top Inspiring Workplaces, and Best for Talent Attraction and Outreach. Join us in making Vistry.

What makes this role a great opportunity: • Long-term, full-time placement • Potential to extend to perm • Consistent hours with a 3:30pm finish • A chance to make a real difference Key responsibilities: • Supporting pupils with SEMH needs throughout the school day • A

Are you passionate about supporting children with special educational needs in a nurturing primary school environment? Job Title: SEN Teaching Assistant (SEN TA) Location: Barking and Dagenham Salary Range: £90-£110 per day (Depending on Experience) Start Time: December Make a

Job Type: Full time We have a fantastic opportunity for a Development Manager to join our team within Vistry East London, at our Brentwood office. As our Development Manager, you will be responsible for the pre-construction phases of development projects, overseeing all legal, design and planning issues and coordinating with estimating, mobilisation, and construction teams. The Development Manager will be expected to coordinate the skills and resources of each function within the organisation together with appointing and managing external consultants to ensure that each development is optimized through efficient management. We value in-person collaboration and team culture, but we’re also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Company car, car allowance or travel allowance, • Salary sacrifice car scheme available to all employees, • Up to 33 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Employee rewards portal with many more benefits…, • Behave in line with our company values – Integrity, Caring and Quality, • As a minimum, educated to A level standard or equivalent, or ability to demonstrate relevant experience in a similar position, • Proficient in MS Office programmes; particularly Excel, Word, and Outlook, • Experience in a development role within the Construction, Property Development or Housing Industry, • Proven ability to manage multiple projects and lead the development process, • Good geographic knowledge of the area, • Organised and methodical, with good attention to detail, • Highly numerate with the ability to undertake feasibility appraisals, • Highly literate and able to understand and interpret complex legal documentation, • Strong time management skills with an ability to prioritise, • Able to work under own initiative, having good decision-making skills and a keen sense of responsibility, • Professional manner, • Able to work as part of a team as well as autonomously, • Ability to communicate well with individuals at all levels, • Able to travel on a regular basis throughout the area, with access to a vehicle on a daily basis, • A desire to continue with further education, • Experience of all stages of development including legal, design, planning related activities, and health and safety, • Assist the Land / New Business department during the pre-development programme and in certain instances to lead on land acquisition or renegotiation of terms on existing projects. Give advice to ensure all development issues are addressed in outline at the outset prior to conclusion of the purchase process and where appropriate coordination with the Technical team., • Ensuring the active involvement of the Development Team to facilitate early Handover of prospective Development sites from the Land / New Business Team to the full Project Team, • Settlement of the Construction Budget and programme, monitoring all Developments through a thorough review of development co-ordination checklists on a regular basis. Set realistic programmes to determine construction starts, sales opening and selling periods., • Management of the relevant Development Budgets and programme information in line with the Development Appraisal system at all times., • Liaison with the Legal department / appointed Solicitor / Technical department as required to ensure all relevant documentation is available at the requisite time including:, • Conveyance Plans, • Section 38 / 104 Agreements, • Open Space Agreements, • Service Wayleaves / Easements, • Freehold Transfer Contracts, • Carry out duties in compliance with the Company’s ISO9001 accreditation., • Support the Group Environmental Policy., • Prepare and submit a Post Investment Review and Ensure Project Close out Reports are completed and concluded, where appropriate via the Technical Team., • Drive the progress of each project by active management and mitigate against slippage, to ensure the Development Programme is delivered to set timescales., • Carry out Land Appraisals using Group software and ensure accurate ongoing monitoring and updating for budgeting purposes., • Prepare reports and risk registers to gain internal approvals and ensure audit compliance., • Appoint Solicitors via the framework. Work with land agents and appointed legal advisors to negotiate and agree land contracts, ensuring any development related matters are fully resolved prior to entering contracts., • Work with clients and their agents to negotiate and agree the form of building contract (Development Agreement or JCT) in conjunction with the Legal Director and other internal stakeholders as appropriate., • Appoint and manage consultant teams e.g. architects, engineers, to produce scheme specific information and ensure the timely submission of schemes to the appropriate planning authority and statutory bodies in line with agreed timescales., • Procure suitable supporting information e.g. surveys, reports, assessments etc. required to support the planning process and enable sufficient pre delivery planning/design., • Maintain excellent communication with the project team and internal stakeholders to ensure relevant information is correctly shared and circulated, and all actions are progressed in a timely manner., • Identify and mitigate against risk and work with colleagues, partners, and stakeholders to manage risk prestart on site., • When required, organise and lead/ attend client meetings acting in a professional manner to positively represent the company at all times., • Follow the internal development process, ensuring all systems are maintained with accurate information at all times., • Resolve problems in collaboration with the project teams and colleagues and share learning to champion continuous improvement and ensure successful delivery of schemes., • Promote and represent the company when appropriate in order to maximise development opportunities and the reputation of the company., • When required, assess new business opportunities, undertake feasibility work, and prepare ‘offer documentation’ as required., • Network with new and existing clients to identify opportunities to expand the business. Join us in making Vistry. #LI-HA1

Job Type: Full time We have a fantastic opportunity for a Assistant Development Manager to join our team within Vistry East London , at our Brentwood office. As our Assistant Development Manager, you will be responsible for supporting the Land & Development Managers in the pre-construction phases of their development projects, including feasibility, legal, design, planning and health and safety related activities and assist the Development Manager in the progress of potential new developments or phases through the technical, legal, planning and financial hurdles to the stage of signing off the Budget Pack and starting on site. We value in-person collaboration and team culture, but we’re also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Company car, car allowance or travel allowance, • Salary sacrifice car scheme available to all employees, • Up to 33 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Employee rewards portal with many more benefits…, • Behave in line with our company values – Integrity, Caring and Quality, • As a minimum, educated to A level standard or equivalent, or ability to demonstrate relevant experience in a similar position., • Proficient in MS Office programmes; particularly Excel, Word, and Outlook, • A keen interest in Development or preconstruction activities, • Good geographic knowledge, • Organised and methodical, with good attention to detail, • Highly numerate with the ability to undertake feasibility appraisals, • Highly literate and able to understand and interpret complex legal documentation, • Able to work under own initiative, having good decision making skills and a keen sense of responsibility, • Ability to follow and lead change management programmes, • Firm commitment to accountability, performance management, target setting and monitoring, • Professional manner, • Able to work as part of a team as well as autonomously, • Ability to communicate well with individuals at all levels, • A desire to continue with further education, • Some experience in a Development role within the Construction industry; ideally in either Affordable Housing, Care or Property Development, • Assist other Development Managers in their work with the Land / New Business department during the pre-development programme., • Support the Development Team in facilitating early Handover of prospective Development sites from the Land / New Business Team to the full Project Team, • Assist senior members in the Development Team in settling the Construction Budget and programme, monitoring all Developments through a thorough review of development co-ordination checklists on a regular basis., • Assist the Development Managers in preparing and submitting a Post Investment Review and Ensure Project Close out Reports are completed and concluded, where appropriate via the Technical Team., • Assist with the preparation of land and build contracts, to ensure land is secured and contracts are entered into in line with agreed timescales., • Assist the team to prepare consultant appointments and collateral warranties, and to co-ordinate signatures, scan and circulate documents as required., • Assist the team to complete paperwork and reports in order to gain internal approvals and ensure audit compliance., • Assist the team to procure suitable supporting information e.g. surveys, reports, assessments etc. required to support the planning process and enable sufficient pre delivery planning/design. This may include placing orders and dealing with invoice enquiries., • Assist the team to approve invoices via the company financial systems, • Liaison with the Legal department / appointed Solicitor / Technical department as required to ensure all relevant documentation is available at the requisite time including:, • Conveyance Plans, • Section 38 / 104 Agreements, • Open Space Agreements, • Service Wayleaves / Easements, • Freehold Transfer Contracts, • Carry out duties in compliance with the Company’s ISO9001 accreditation., • Support the Group Environmental Policy., • Management of several small projects, with the support of a Development Manager, to enable development and career progression. Join us in making Vistry. #LI-HA1

As a Care Assistant, you could be doing anything from supporting residents with their food and drink and following care plans to ensuring that each of our residents has one-to-one time. ABOUT THE ROLE As a Care Assistant at a Barchester care home, you'll help residents enjoy each day by making sure

Mayesbrook Park area RM9 - UET1.We are working with a specialist secondary school in the Mayesbrook Park RM9 area who are looking for a part time Design Technology Teacher.This is a three day a week position and the school is open to discussing which days work best.They are looking for someone confi

Job Type: Full time Our Graduate Real Estate Pathway is the perfect place for aspiring Land Managers, Development Managers & Planning Managers, or anyone with a natural interest in land acquisition, planning policies or project management. This pathway is tailored to expose you to key areas of the business that will develop you into a strong all-rounder within the Real Estate field. This pathway includes rotations within the business areas below, all constructed with key learning objectives in mind to equip with you all of the knowledge you need: Land & Planning > Development > Technical > Project Management > Commercial Property > Finance Based in our Brentwood office from September 2026, as part of our Strategic Land and Major Projects team, you will rotate through some or all these disciplines across your 18 months programme. During your final rotation, transition talks are held with the possible opportunity to transition into one of these disciplines once all of rotations have been completed The Strategic Land and Major Projects team is one of the largest and most successful, with the skill sets and experience required to masterplan, promote and deliver large-scale residential led new communities from start to finish, including the delivery of major infrastructure. This has given us a reputation that sets us apart. The Strategic Land team operate nationally to secure land and planning consent for residential schemes ranging from 200 to 3,000 plus new homes providing Vistry's housebuilding regions with a supply of consented units. The Major Projects delivery team is renowned for delivering significant new infrastructure and high-quality community facilities as part of our strategic developments. These facilities have included new schools, neighbourhood centres, health services, community buildings, hotels and business parks alongside extensive sports facilities, country parks and open spaces. This place making expertise ensures we are able to create sustainable mixed-use communities, whilst delivering value for its stakeholders. Due to high interest, we may close applications earlier than expected. If this role appeals to you, we recommend submitting your application at your earliest convenience. • Competitive basic salary and annual bonus, • Car allowance or company car, • Up to 34 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Follow the Real Estate Pathway, completing all rotations to the best of your ability and meeting the targets set to you by each rotational supervisor., • Take all learning opportunities that are presented to you through the programme, seeking ways to further develop and challenge yourself., • Integrate yourself into each team that you work with along your pathway, supporting each team to achieve their goals and establishing meaningful, long lasting professional relationships., • Absorb the knowledge, expertise and advice given to you throughout your rotations by our talented teams, ask questions and probe to develop your understanding., • Contribute to continuous development within Vistry Group by being proactively involved in key business initiatives, projects and launches. Offering ideas and suggestions where opportunities are identified., • Be an active member of the Vistry Group Graduate community, supporting your peers, taking part in (and occasionally hosting) quarterly Graduate meetings, attending masterclasses and professional development opportunities., • Act as an advocate for careers in Construction, to effectively represent Vistry Future Talent at careers events, fairs and other engagement opportunities., • Act as a buddy to future new Graduates joining the community, to ensure that they are positively supported through their learning journey., • Commit to completing further study, qualifications and accreditations as appropriate, should you wish to undertake further professional development., • Positively engage with your leaders and support system throughout the programme, regularly meeting to discuss your progress, identify areas for further focus and development and seek advice. We build more than homes, we’re making Vistry. Being a responsible developer and award-winning employer means we live each day through our ethos - doing the right thing. Our behaviours reflect this, as well as our values of integrity, caring and quality. Shaping all we do; they empower us to develop sustainable communities across affordable and private housing. We work in a partnership-led way, and you’ll recognise our renowned brands Bovis Homes, Linden Homes and Countryside Homes. Together with Vistry Works, our manufacturing operation, and the functional support of Vistry Services, we’re a proud UK Green Building Council member, UK top five housebuilder with a five-star House Builders Federation (HBF) customer satisfaction rating, and winner of many awards including Top Employer, Global Top Inspiring Workplaces, and Best for Talent Attraction and Outreach. Join us in making Vistry.

Job Type: Full time Our Graduate Construction Pathway is the perfect place for aspiring Site Managers, Project Managers & Construction Directors or anyone with a natural interest in project management, Construction technology and quality. This pathway is tailored to expose you to key areas of the business that will develop you into a strong all-rounder within the Construction field. This pathway includes rotations within the business areas below, all constructed with key learning objectives in mind to equip with you all of the knowledge you need: Construction > Health & Safety> Technical > Development> Commercial> Customer Service > Construction Starting from September 2026, you’ll rotate through all these areas across your 18 months programme, starting and finishing within the Construction department. During your final rotation, transition talks are held with the possible opportunity to transition into the Build team once all of rotations have been completed. Taking the next step onto the Construction career path. Graduates on our Construction pathway are based at one of our sites, this anticipated site for this role is in Barking *please note that due to the nature of the role, site locations are subject to change. Due to high interest, we may close applications earlier than expected. If this role appeals to you, we recommend submitting your application at your earliest convenience. • Competitive basic salary and annual bonus, • Car allowance or company car, • Up to 34 days annual leave plus bank holidays increasing to up to 39 days with service, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes In your role as a Construction Graduate, your duties will vary depending on the department you are rotating through. Within each rotation, you’ll be set focused key objectives to ensure that you have the most tailored learning to your chosen pathway, but your core responsibilities as a graduate at Vistry include: • Follow the Construction Pathway, completing all rotations to the best of your ability and meeting the targets set to you by each rotational supervisor., • Take all learning opportunities that are presented to you through the programme, seeking ways to further develop and challenge yourself., • Integrate yourself into each team that you work with along your pathway, supporting each team to achieve their goals and establishing meaningful, long lasting professional relationships., • Absorb the knowledge, expertise and advice given to you throughout your rotations by our talented teams, ask questions and probe to develop your understanding., • Contribute to continuous development within Vistry by being proactively involved in key business initiatives, projects and launches. Offering ideas and suggestions where opportunities are identified., • Be an active member of the Vistry Graduate community, supporting your peers, taking part in (and occasionally hosting) quarterly Graduate meetings, attending masterclasses and professional development opportunities., • Act as an advocate for careers in Construction, to effectively represent Vistry Future Talent at careers events, fairs and other engagement opportunities., • Act as a buddy to future new Graduates joining the community, to ensure that they are positively supported through their learning journey., • Commit to completing further study, qualifications and accreditations as appropriate, should you wish to undertake further professional development., • Positively engage with your leaders and support system throughout the programme, regularly meeting to discuss your progress, identify areas for further focus and development and seek advice. We build more than homes, we’re making Vistry. Being a responsible developer and award-winning employer means we live each day through our ethos - doing the right thing. Our behaviours reflect this, as well as our values of integrity, caring and quality. Shaping all we do; they empower us to develop sustainable communities across affordable and private housing. We work in a partnership-led way, and you’ll recognise our renowned brands Bovis Homes, Linden Homes and Countryside Homes. Together with Vistry Works, our manufacturing operation, and the functional support of Vistry Services, we’re a proud UK Green Building Council member, UK top five housebuilder with a five-star House Builders Federation (HBF) customer satisfaction rating, and winner of many awards including Top Employer, Global Top Inspiring Workplaces, and Best for Talent Attraction and Outreach. Join us in making Vistry.

Love being on the move and interacting with people from all walks of life? Proud to deliver quality goods on time and put a smile on thousands of faces every week? Join Ocado Logistics where there are bags of possibilities. It's our mission to provide an outstanding customer experience. Whilst others might call you delivery drivers, here at Ocado Logistics our Customer Service Team Members play a vital role, delivering top quality products on time and in an efficient manner. You’ll be out on the road whatever the weather, but you’ll never have to fight over the radio station, and you can sing along as loud as you like! In return, we use our automated technology to pre plan your route and pre-load your van! Everyone likes their groceries at different times, so our working patterns will involve evenings and weekends in addition to weekdays - so on top of your base pay you will receive premiums that will increase your average hourly earnings to £13.75 per hour. You can also stack your earnings further with enhanced overtime to fund those special occasions! All your breaks are paid, meaning for every minute at work you get paid. That’s a great deal! (Everyone’s shifts will vary but more information is included at the bottom of this advert to help you understand what that might look like.) Whilst a safe working environment goes without saying, we offer a shopping list of perks that you can tailor to suit your lifestyle, including: • Company pension of up to 7% matched contributions after just 3 months, • An enhanced digital health and wellbeing service, including virtual GP appointments, for you and your dependents, • Hundreds of high street shopping, entertainment and restaurant discounts, • Life insurance coverage from day one of employment, • 15% off your weekly shop with Ocado.com, • Loads more voluntary benefits such as dental and travel insurance at a discounted price You don’t need any previous experience to join our good-natured team, just bring yourself and a positive attitude, and our amazing training team will do the rest! But you will need the following Driving Licence Requirements: • Full UK or EU driving licence., • Minimum of 12 months driving experience, • Maximum of 6 penalty points. As this is a customer facing role, good communication skills are also essential. How to apply: • Fill in an online application - there is no CV needed!, • Our friendly recruitment team will get in touch to conduct an Online Licence Check and Right to Work Checks., • You will be invited to take a tour of the site, giving you the opportunity to meet the team for a question-and-answer session, • We will run a Disclosure Barring System check (DBS). Contract Hours: 40 hours (including paid breaks) Contracted days: You will be required to work any 5 days out of 7 working 8 hour shifts, and will be provided with further information during pre-boarding. Shifts: AM & PM. You may start as early as 05:30 in the morning, and can finish as late as 12:00 (midnight). Please check your commute time prior to applying. You will receive your shift rota up to 13 weeks in advance. Pay Structure: The position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly Pay Rates: Monday to Saturday (Basic Rate) £13.26 Evening Premium (from 6pm) £1.12 Sunday Day Premium £1.33 Sunday Evening Premium £2.56 Overtime rate Monday to Saturday (Day Shift) £16.58 Overtime rate Monday to Saturday (Evening Shift) £17.98 We are proud to be a Disability Confident employer, prioritising inclusivity and equal opportunities for all individuals, ensuring a supportive and accessible workplace for people with disabilities. So, whatever your background or story, you’ll find a home at Ocado Logistics.