7091 jobs found

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Tunbridge Wells, United Kingdom Posted on 22/01/2026 TPF Recruitment is recruiting for a Private Client Tax Senior Manager on behalf of a fantastic large, top 10, Kent based firm of chartered accountants. This is a fantastic career opportunity for a Private Client Tax Senior Manager to join a highly reputable accountancy practice in an autonomous and exciting career. You can be based in multiple locations across Kent. Our client is a highly reputable and well known top 10 firm of chartered accountants based in Kent with offices across the UK and a national, and international reach. They have a fantastic reputation, excellent culture and have seen significant growth over the last 5 years. They are now looking for a Private Client Senior Manager to join their team in a highly rewarding position. They prioritise their staff's welfare and offer a great flexible working environment. Joining the firm as a Private Client Tax Senior Manager, with a clear path to progress, you will deliver personal tax and advisory services to a wide ranging client base of directors of owner-managed businesses, property clients, wealthy individuals and private clients. You will be supported by a medium size, and very experienced tax team. You will take a client facing position, overseeing the provision of advisory services across a wide spectrum of personal tax issues, IHT, CGT, trusts estates etc. You will lead and influence your team and look to drive the development of the private client tax services in this leading Top1firm. You will be responsible for developing client relationships, maintaining and bringing in new business to bolster the businesses private client offering, and play a lead role in the growth and development of the Kent office's private client offering. Requirements ATT and CTA, ACA, ACCA or STEP qualified Previous experience operating at a senior level within Private Client Tax Proven experience in client handling - ability to provide a high level of client relationship that is vital to this role Proven tax experience in producing high quality work on complex UK private client matters, within budget Tax experience from a practice background would be a distinct advantage preferably within a top 100/ large independent firm Private Client Tax Senior Manager -Top 10 Accountants in Tunbridge Wells Private medical insurance Life assurance Pension contribution Generous holiday package Option to purchaseadditional holiday Shared parental leave Please apply for the vacancyor contact Tristan Finch for a confidential conversation regarding thisposition, and similar opportunities.

Baked Product Development Manager Billingham (Home of McCoys, POM-BEAR, and more!) We operate a dynamic working model built on trust, choice and balance. Colleagues typically connect in person 3 days per week, as we know the best ideas and relationships grow when we collaborate side by side click apply for full job details

Role : HR Officer Sector: Public and Not-for-Profit Duration: Permanent Location: Derby - Hybrid Salary: up to 28000 per annum Sellick Partnership are currently recruiting for an experienced HR Officer to join our client based in Derbyshire, working on a hybrid basis. The HR Officer will act as a first point of contact for all employee relations, policy and contractual issues across a multi-site operation. This role would be ideal for someone who is looking to move into their first management position. The role will support the wider HR Team in delivering the HR strategy to the people across all the organisations subsidiaries. Providing pragmatic advice and guidance as well as supporting in the implementation of key projects. The duties of the HR Officer include: Being the first point of contact for all people related issues across each of the subsidiaries. Developing robust relationships with managers within the business to provide proactive support to any people related issues. Leading investigations and supporting managers through the various HR processes. Actively working with the HR team to develop and delivery HR Training as required across the subsidiaries. Ensuring managers are dealing effectively with employee relations issues. Providing, monitoring and analysing HR information for managers, highlighting areas for concern. Proactively working with managers to put plans in place to resolve areas of concern. Bring responsible for the Skills Matrix ensuring that our people across all subsidiaries are up to date with mandatory and essential to role training. Managing a team of recruitment administrators is the delivery of their day-to-day activities including the delivery of recruitment related projects. Ensuring that appraisals / performance and development review targets are set, monitored, delivered and proactively promoted across the business. Being an active member in HR and Operational related projects as required. Taking both supporting and leading roles depending on the nature and scope of the project. To undertake any other duties as may be required for the optimum efficiency of organisation's operations, including working within other departments as directed. Ensuring continuing, personal and professional development, taking ownership and accountability for remaining up-to-date. As duties and responsibilities change, the job description will be reviewed and amended in consultation with the postholder. The ideal HR Officer will: Be qualified to CIPD Level 3 or equivalent Have a minimum of 1 years' experience in employee relation cases Have a minimum of 1 years' experience in human resources Have experience in managing and prioritisation of conflicting deadlines The HR Officer will need to have excellent communication skills and effectively be able to communicate to stakeholders of all levels. Furthermore, the ideal candidate will have an impeccable eye for detail and accuracy to ensure all workload is carried out effectively and efficiently. They will also need to able to prioritise their workload and be efficient and effective to meet unpredictable deadlines and deal with conflicting demands, whilst working in a high-pressured environment. This role would be the perfect position for a current HR Administrator, HR Assistant or HR Co-ordinator who is looking to progress to the next stage Our client is hoping to have the HR Officer in the role as soon as possible, therefore if you believe your experience meets the criteria above, please contact Charlotte Broomfield by Monday 9th February or call the Derby office for more information. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Job Title: Trainee Purchasing Coordinator Department: Purchasing / Supply Chain Reports To: Purchasing and Supplier Manager Salary: £26,000 £27,000 per annum (depending on experience) Job Purpose To ensure that all purchase orders are fulfilled in an accurate, timely, and commercially viable manner, while supporting the effective acquisition of products and contributing to efficient stock control and purchasing administration. This role is designed to provide ongoing training and development to build experience and a long-term career in purchasing. Key Responsibilities and Accountabilities Purchasing & Administration Purchase furniture, accessories, and related products as required to support order fulfilment. Undertake purchasing administration in line with customer shortfalls, product reorder levels, and instructions from the line manager. Review and create purchase orders and contracts, ensuring compliance with company and departmental policies. Maintain accurate purchasing and inventory records within internal systems. Systems & Stock Control Maintain and update inventory databases, including WMS and Sage 200 systems. Collaborate closely with the warehouse team to ensure effective stock management in line with agreed stock value targets. Collaboration & Communication Work collaboratively with Sales and Customer Service teams to maximise operational efficiency and customer satisfaction. Escalate any issues relating to delivery, quality, pricing, or terms of sale to the Purchasing and Supply Chain Manager in a timely manner. Reporting & Continuous Improvement Update and understand purchasing reports as required, including KPI dashboards and supplier scorecards. Support continuous improvement initiatives within the purchasing and supply chain function. General Carry out any other reasonable tasks as requested by the senior management team. Health, Safety & Information Security The post holder must: Comply at all times with health and safety legislation, company procedures, and safe working practices. Report any health and safety concerns or contraventions to a manager immediately. Adhere to all information security policies and best practices in line with ISO 9001, 14001, 45001, and 27001 standards. Report any information security incidents or risks via the established reporting process or to a manager. Skills, Knowledge & Qualifications Essential Skills and Attributes Excellent interpersonal and problem-solving skills. Ability to exercise tact, courtesy, and professionalism when dealing with suppliers and colleagues. Strong organisational skills with high attention to detail. Excellent time management skills with the ability to meet deadlines. Proficient in Microsoft Office Suite (or equivalent) and inventory management software. Desirable Previous experience in a purchasing, supply chain, or administrative role (not essential training provided). An interest in developing a career within purchasing or supply chain management. What We Can Offer 25 days annual leave plus bank holidays Competitive benefits package Sponsored subscriptions and professional memberships Continual professional and occupational training and development A friendly and supportive working environment Hybrid working model (3 days office-based, 2 days home-based) Additional Information This job description is intended as a general guide to the duties of the role. Flexibility is required to ensure the needs of the business are met.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

W Talent - Property & Real Estate is delighted to be working exclusively with Medivet to appoint a talented Estates Manager to their Property team. Founded in 1987 and now backed by CVC Capital Partners , Medivet is a leading veterinary care provider operating across the UK, Germany and Spain. With more than 500 branches and 27 state-of-the-art, 24-hour veterinary centres, Medivet's ambition is to become a leading player in Europe and the first choice for pet owners and veterinary professionals. Medivet has experienced rapid growth in recent years through acquisition of new clinics, with further growth planned. In the UK, the Property team manages a portfolio of over 350 properties , ensuring they operate efficiently and effectively, maintaining strong landlord relationships and mitigating property-related challenges to support Medivet's business goals. The Estates Manager will work closely with Steven Holley, Head of Property , with key responsibilities including: Leading all professional work across the estate, including lease renewals, rent reviews, and dilapidations Building excellent working relationships with key stakeholders including Branch Partners, Clinical Operations, Finance and landlords Supporting expansion initiatives, remote space projects, and residential portfolio development Developing exit strategies for non-trading sites and proposing commercial solutions Ensuring legal compliance and governance across all estates activity Managing relationships with specialist agents, auditors, and legal advisors Providing strategic advice to internal teams on maintenance obligations and property risks Contributing to monthly Board reporting and forecast reporting Playing a key role in portfolio growth to support the acquisitions strategy This is a hybrid role , with 1-2 days per week required at Medivet's Head Office in Watford , and travel across the estate as needed. Suitable applicants will demonstrate: Strong experience in UK-wide landlord/tenant law Proven success in managing multi-site estates across national geographies Experience leading rent review and rates programmes in partnership with external agents Commercial acumen and confident decision-making aligned with business goals Strong stakeholder management - experience in franchisee/joint venture partner environments is beneficial Strategic thinking and the ability to thrive when prioritising and solving complex problems Remuneration: Basic Salary: 60,000- 65,000 + Car Allowance & Benefits This appointment is being managed by Richard Insley of W Talent - Property & Real Estate . All direct or third-party applications will be forwarded to Richard for consideration.

Role Overview: Join Busy Bees - The UK's Leading Nursery Group - as a Nursery Manager Gloucester Denmark Road! Ready to inspire, lead, and make every day amazing for children? Busy Bees is searching for a passionate Nursery Manager with a Level 3 childcare qualification and at least two years of leadership experience in early years. Bring your creativity, EYFS knowledge, and energy - and we'll provide the perfect place for your career to flourish. Why Choose Busy Bees? With nearly 400 nurseries across the UK (and growing internationally), Busy Bees is proud to be the UK's leading nursery group. We're dedicated to giving every child the very best start in life - and we're equally committed to building a workplace where our people feel valued, supported, and celebrated. Join a team recognised for award-winning culture, ongoing professional development, and genuine opportunities to grow. About the Role As our Nursery Manager, you'll lead with passion, ensuring outstanding care, learning, and development for every child. You'll also be introduced to our inspiring Bee Curious curriculum , designed to spark imagination, confidence, and curiosity. Community & Charity We're proud partners with BBC Children in Need , giving our teams meaningful ways to get involved, fundraise, and make a difference to children nationwide. About Busy Bees Gloucester Denmark Road Our Ofsted-rated Good nursery supports up to 68 children and is home to a dedicated, long-standing team. With a large outdoor play area, strong family communication, active social media presence, and free staff parking , it's the perfect environment to nurture young minds and grow your career. Amazing Busy Bees Benefits Enjoy a market-leading package designed to support your wellbeing, lifestyle, and career: Annual bonus up to 25% Competitive salary Extensive training, CPD and clear career progression Up to 33 days holiday , including bank holidays Your birthday off - our treat! Generous childcare discount Enhanced family leave + return-to-work bonus Menopause support via Peppy Financial wellbeing support through Salary Finance Employee Assistance Programme + Mental Health First Aiders Cycle to Work scheme Easy workplace pension access through Cushon Discounted Private Medical Insurance Opportunities to travel, experience new cultures, and learn global best practices via our Talent exchange program And there's even more Enjoy our Hive Benefits & Wellbeing Platform , packed with: Huge retail discounts Wellbeing resources for mind and body Recognition and reward features "Grow with Us" development hub tailored to support your future at Busy Bees If you're ready to lead a passionate team, shape children's futures, and grow within the UK's top early years provider - Busy Bees is the place for you. Role Responsibilities: Key Responsibilities: Lead & Inspire: Drive excellence and motivate your team. Quality Improvement: Enhance educational programs and operational processes. Compliance: Ensure a safe and secure environment, meeting all regulations. Financial Oversight: Manage budgets and resources effectively. Engagement: Build strong relationships with parents, staff, and the community. Professional Development: Foster team growth to provide exceptional care. Required Qualifications: About you: We are looking for a passionate and ambitious Nursery Manager whose primary goal is to deliver the highest standards of childcare and early years education. You will be resourceful, commercially minded, have strong leadership ability and excellent communication skills. You will have strong organisational skills with a keen attention to detail and be able to prioritise your workload effectively. Qualifications and Experience: NNEB, BTEC Nat Dip, CACHE Dip in Childcare, or NVQ Level 3. Experience as a Nursery Manager or Assistant Nursery Manager. Strong leadership, organisational, and communication skills. A focus on delivering high-quality childcare and early education. Apply now and be part of our dynamic team!

Office Manager / Coordinator Freelance - ongoing work 20/hour PAYE Derby Are you a highly organized professional with a knack for facilities management and team leadership? We are seeking an Office Manager & Operations Co-ordinator to support our Area Director in driving business efficiency and maintaining a professional environment for our staff and customers. The Role Reporting directly to the Area Director , you will ensure the smooth day-to-day running of our regional hub. Your mission is to maximize office efficiency and evolve our internal procedures to support business growth. Key Responsibilities Team Leadership: Manage and motivate the Administration Team through regular communication, performance reviews, and continuous improvement meetings. Facilities Management: Oversee building maintenance, utility services, and the upkeep of general office equipment (telephones, AC, etc.). Health & Safety: Act as the regional lead for H&S, ensuring all procedures comply with legislation and emergency protocols are robust. Supplier Management: Maintain strong relationships with external vendors, manage ordering within budgets, and source new suppliers when necessary. Operations & HR: Assist with recruitment, inductions, and absence management in line with company policy and employment legislation. What We're Looking For Technical Proficiency: Strong skills in Microsoft Office (Word, Excel, PowerPoint, and Outlook). Operational Knowledge: A deep understanding of office procedures, building maintenance, and H&S legislation. People Skills: Proven ability to manage teams, support staff learning and development (PDPs), and maintain professional relationships with both internal and external stakeholders. Growth Mindset: The ability to adapt procedures as the region grows while ensuring all departments work together effectively. Apply here or call (phone number removed) Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Resident Service Associate Build to Rent (North London) An exciting opportunity to join a brand-new Build to Rent development launching in North London in Spring 2026. This is a fast-paced, front-of-house role combining leasing, sales, and hospitality-led customer service . You will be the first point of contact for prospects and residents, playing a key role in driving leasing performance while delivering a five-star resident experience. Key Responsibilities Actively drive leasing performance by managing enquiries, nurturing leads, conducting apartment viewings, and converting prospects into signed leases Respond promptly to all leads via the property management system and manage the full customer journey from enquiry to move-in Meet and exceed leasing targets with a confident, sales-driven approach Be the welcoming face of the building, managing the concierge desk and handling walk-in enquiries Ensure show apartments and communal areas are immaculately presented at all times Coordinate move-ins and move-outs, including preparing welcome packs and completing check-in/check-out processes Support unit turns in line with agreed service level agreements Organise and deliver resident engagement and community events to support retention Maintain regular communication with residents and proactively gather feedback Oversee deliveries and ensure the concierge and front-of-house areas are well managed Work closely with the onsite team and General Manager to meet KPIs across leasing, operations, and health & safety Monitor local market and competitor activity and feedback insights to the wider leasing and marketing teams Ensure all security, health & safety, and emergency procedures are followed at all times About You Sales-driven with experience in leasing, property, hospitality, or customer-facing sales roles Confident conducting viewings and engaging with prospective customers Passionate about delivering a premium, service-led resident experience Highly organised, proactive, and comfortable working in a fast-paced environment A strong communicator who builds rapport easily and works well as part of a team

Position: Farming Officers x2 Location: 1x Sussex and 1x Hampshire Closing Date: 15 March 2026 Interview Date: 26 March 2026 Salary: £32,037 to £34,587 Hours: 37 hours per week Type of post: Fixed-Term 4 years We are looking for two experienced and knowledgeable Farming Officers to join the South Downs National Park Authoritys Farming Team, based in Sussex (Stamner Park) and Hampshire (either Singleton or Droxford) respectively. Enthusiastic and self-motivated, you will work with farmers, land managers and partners to deliver the Farming in Protected Landscapes (FiPL) Programme, and with Natural England to deliver Countryside Stewardship Higher Tier (CSHT) agreements. With a strong working knowledge of farming, land management and agri-environment schemes, you must be able to plan, organise and deliver projects and activities that achieve multiple outcomes across nature, climate, people and place. A strong team working ethic and well-developed negotiation and interpersonal skills are also essential to ensure you can work effectively with colleagues, farmers/landowners and partners to deliver FiPL, CSHT and organisational outcomes. You will need to have a degree or equivalent qualification in farming or land management. Previous experience in this area of work is also required. Does this sound like something that interests you? Think you can really add value to the role? Meet the person specification? Then please apply! To apply: Please apply via the button shown to upload your CV and complete our application, referring to the person specification. SDNPA is an inclusive organisation, and we welcome applications from everyone irrespective of sex, sexual orientation, gender identity, ethnicity, faith and religion, disability and age. We operate a Guaranteed Interview Scheme (GIS) for disabled applicants. In all circumstances, the SDNPA appoints on merit, based on evidence the applicant supplies in meeting the essential criteria for the post. Further information on our commitment to Equality, Diversity and Inclusion can be found on our website. SDNPA Enhanced Benefits - Flexible working (this is available for the majority of our roles. However, some positions may require on-site presence and /or specific hours due to business needs) - Local government pension scheme - Electric Vehicle Salary Sacrifice Scheme - Heat Scheme (capped interest-free green home improvement loan, available on a first-come, first-served basis) - Healthcare - includes cash plan, counselling and wellbeing discounts - Access to Health and Wellbeing portal and webinars - 27 days annual leave, increasing to 30 days, plus bank holidays - Professional development support - Cycle to work scheme - Car sharing - Use of pool cars - Regular staff events/activities, which support the SDNPAs Purposes and Duty JBRP1_UKTJ

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Housing Enabling Manager Contract: 6 months, full time Hybrid working: 2 days per week on site Rate: 500 per day Spencer Clarke Group are seeking an experienced Housing Enabling Manager to support the acceleration of housing delivery across the borough. This is a strategic, outward facing role within a Housing Regeneration function that plays a central role in shaping the council's HRA portfolio and driving borough wide housing development activity. The role exists to actively lead and promote housing delivery at pace. You will influence partners, remove barriers to delivery, and support landowners and developers to bring forward viable housing schemes. You will also play a key role within multi disciplinary regeneration and development teams, contributing to governance, programme management and delivery assurance. This role is well suited to a senior housing professional with strong enabling, partnership and programme experience who is comfortable operating at pace and influencing across organisational boundaries. Key Responsibilities Lead the council's housing enabling function to support delivery of affordable and specialist housing Actively promote housing delivery internally and externally, providing advice and guidance to landowners and delivery partners Build and maintain strong partnerships with Registered Providers, developers and public sector organisations Manage the Affordable Housing Framework and associated engagement forums Assess development proposals and negotiate affordable housing outputs to secure best value outcomes Provide expert advice on housing need, tenure mix, funding routes and delivery models Support and contribute to regeneration and development governance structures Contribute to housing strategy, regeneration initiatives and long term planning frameworks Experience Proven experience in housing enabling, housing delivery or regeneration within a local authority or similar environment Strong understanding of affordable housing delivery models, funding mechanisms and viability Experience working with Registered Providers, developers and public sector partners Ability to influence, negotiate and drive outcomes across multiple stakeholders Strong programme management, reporting and risk management capability Confident operating in a strategic, outward facing role with political awareness How to Apply If you're interested in applying, please apply now with your CV and contact Joe O'Halloran at Spencer Clarke Group on (phone number removed) ASAP.