4760 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.

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.

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.

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.

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.

Our client is a progressive, privately owned land and farming business operating at scale across the UK. With a strong focus on regenerative agriculture, environmental stewardship, and long-term land value, the business integrates modern technology, sustainable practices, and commercial discipline to deliver high-performing farming enterprises alongside natural capital and environmental schemes. An exciting opportunity has arisen for an experienced and highly motivated Farm Manager to take responsibility for a 6,000-acre mixed arable operation . This is a senior leadership role within a forward-thinking organisation committed to soil health, biodiversity, and the practical application of modern agricultural systems. The successful candidate will have overall responsibility for the operational, financial, and strategic performance of the farm, delivering against the farm business plan while ensuring the efficient, profitable, and compliant running of the enterprise. Key Responsibilities Full operational management of the farm, including planning and execution of all farming activities Development and delivery of regenerative agriculture practices, including soil health, biodiversity enhancement, and digestate management Strategic cropping and rotation planning across the holding Leadership and management of farm staff, contractors, and seasonal labour Oversight of machinery, infrastructure, and maintenance programmes Use of precision agriculture systems, data, and farm management software to support decision-making Financial management, budgeting, and accurate record keeping Ensuring compliance with health & safety, environmental, and assurance standards Management of SFI, carbon credit, and Biodiversity Net Gain schemes across the farm The Ideal Candidate Will Demonstrate Proven experience in a senior farm management role within a large-scale operation Strong understanding of regenerative agriculture and sustainable land management Confidence in the use of modern agricultural technology and data-driven farming Excellent leadership, organisational, and communication skills Sound commercial awareness with a disciplined approach to cost control A proactive, professional, and solutions-focused approach A competitive remuneration package is offered, including modern accommodation and a vehicle. To find out more, get in touch with me, Hannah, on (phone number removed), email me at (url removed) or apply below!

Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions businesses need to navigate today's changing world. Our clients are Britain's economic engine - ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and the owners and management teams that lead them. We'll broaden your horizons BDO's Corporate Tax practice sits at the heart of our Tax function and plays an important role in the wider business. Our team works collaboratively with others across BDO, offering clients in the UK and overseas expert advice and solutions that help them overcome their challenges. If you're looking for exposure and the chance to make an impact, you're looking in the right place. Tax is a dynamic, ever-changing industry. As our clients' needs and the regulatory environment evolve, you'll encounter new problems to solve and new opportunities for growth. Whether it's advising clients on high-profile specialisms like Corporation Tax or leading the implementation of intelligent technology solutions, you'll enjoy variety as well as stretch in your role. BDO supports all kinds of different businesses in different sectors across the UK and around the world. You'll be providing Tax Advisory services to start-ups and scale-ups, to private businesses and FTSE listed multinationals. Each of our clients has different needs and in applying your expertise in different contexts, you'll develop your skills and gain valuable experience that will serve you throughout your career. We'll help you succeed Our clients trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with clients and building long-lasting relationships. You'll be someone who can work pro-actively, managing your own tasks, but you'll also be confident collaborating with others, communicating regularly with senior managers, Directors, and BDO's Partners to enable us to serve our clients effectively. You'll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to our clients. We are looking for someone with; An in depth, up to date, knowledge of taxation with specialist knowledge and the ability to deal with complex tax issues Project and staff management experience Ability to manage a substantial client portfolio profitably whilst being able to actively seek opportunities for developing new clients and for selling new services to existing clients. Ability to provide Tax compliance and advisory services to a wide range of clients using resource from a shared service team or via technology tools. Experience of managing a substantial portfolio of clients including control of client take on and engagement, billings, and identification of opportunities to improve recoveries, together with cash collection. Understanding of potential risks to the Firm in relation to the Firm's quality control procedures and raising to the appropriate person. Guide and supervise less experienced colleagues, proving support, training and mentoring where appropriate. Experience of leading complex projects Educated to degree level and/or CTA and/or ACA qualified or equivalent. Demonstrable post qualified experience You'll also be able to be yourself; we'll recognise and value you for who you are and celebrate and reward your contributions to the business. We're committed to agile working, and we offer everyone the opportunity to work in ways that suit them, their teams, and the task in hand. At BDO, we'll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development. We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. We can provide the best support for our clients and people when we're working side by side. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for our clients and satisfying experiences at work, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in them. Across 17 UK locations, we are 6,500 unique minds coming together to help our clients reach their ambitions. We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.

Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We'll broaden your horizons Working, achieving, and thriving together, our Tax team move with every challenge. Friendly, driven and diverse, they service our clients across the country and around the world. By providing expertise in many different specialist areas of tax, they collaborate across BDO to deliver wider business solutions. From meeting clients' evolving business needs to managing changes to legislation, there are always fresh challenges to face in the Tax team. If you're after a career that will keep you on your toes, we'll give you the autonomy to drive your career forward. Global Employer Services help companies and individuals moving countries and assist with any tax implications that occur in the move. Working with a broad client base, from start-ups to multinationals who are often moving abroad for the first time, the team work with companies as a whole and with individual employees to help them with some of the biggest decisions of their lives. That means you'll need strong people skills so you can build relationships defined by trust. You'll be part of growing tight-knit team with an emphasis on assigning work that broadens your capabilities. Combined with the direct access you'll have to partners on a day-to-day basis, this is your chance to become an expert and build a career based on what you're good at and what you find interesting. We'll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You'll be someone who is both comfortable working pro-actively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO's partners to help businesses effectively. You'll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. You will be a key member of the Global Employer Services group, this role will provide reward and share schemes services for a wide range of clients. You will be responsible for assisting Directors & Partners in providing Tax compliance and advisory services to a wide range of clients. The primary responsibility will be to deal with all matters relating to the management of a portfolio of existing clients and assist with the development of targets in order to ensure the continued growth of the business. You will also provide assistance to senior members of staff in both client work and in the management of the group, as appropriate. We're looking for someone with: Ability to advise on the tax treatment of share options and other forms of employee share ownership An in depth knowledge of EMI, ESS and knowledge of reward tax and related areas such as employment, NIC and capital gains tax etc Expertise on split interest, freezer and nil paid arrangements Experience in the preparation of share valuations and liaison with HMRC Staff management and mentoring experience Awareness of accounting, employment law and company law implications of share incentives Experience of dealing direct with clients including agreement of fees Educated to degree level (LLB preferred), and/or CTA and/or ATT/ACA qualified or equivalent You'll be able to be yourself; we'll recognise and value you for who you are and celebrate and reward your contributions to the business. We're committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand. At BDO, we'll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development. We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.

At Places for People, we hire People, not numbers! So, if you like the sound of one of our jobs, please apply - you could be just who?we're?looking for! Of course, experience and?track record?are important, but?we'remore interested in hiring someone that embodies our People Promises.?That's?someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social?Enterprise?we're?dedicated to creating inclusive and thriving Communities for both our Customers and Employees. So, what are you waiting for? Join a community that cares about you! More about your role Are you passionate about creating meaningful change in communities? Do you thrive on building partnerships, empowering people, and delivering projects that make a real difference? If so,we'dlove to hear from you. We'relooking for a dynamic and committedCommunity Investment Managerto lead the design, development and delivery of impactful programmes that improve the lives of our customers and strengthen the communities we serve. This is an exciting opportunity to shape community initiatives, collaborate with partners, and ensure our investment creates lasting social value. More about you You'rea proactive,peoplefocusedproject leader with experience delivering impactful programmes in the charitable, social enterprise or housing sectors. You understand the challenges our customers face and are driven to create positive change. Confident in building partnerships and navigating the VCSE sector, you combine strong organisational skills with an empathetic,community mindedapproach. The role is primarily home based with an expectation you will be in the community up to 3 days a week across North East and Hull, however will support colleagues and business needs in the north, your base location will be your nearest office location. The essential criteriaislisted below ?Proven track record in Programme or Project Management, ideally within the charitable, social enterprise or housing sectors ?Strong understanding of the challenges and barriers faced by our customers, with a people-first, empathetic approach ?Knowledge of the voluntary, community and social enterprise (VCSE) sector, including partnership working and funding environments The benefits We are a large diverse and ambitious business, which will give you all the challenge you could wish for.? We know that?there's?always more we can do to make you smile,?that's?why we offer a comprehensive benefits package with each role, yours will include:? Competitive salary, with a salary review yearly? Pension with matched contributions up to 7%? Excellent holiday package up to 35 days annual leave with the?option?to buy or sell leave? Cashback plan for healthcare costs up to £500 saving per year? A bonus scheme for all colleagues at 2%? Training and development? Extra?perks?including huge discounts and offers from shops, cinemas and much more? What's next? If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. As part of ourcommitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities JBRP1_UKTJ