18182 jobs found

Client Manager Join us and earn a £2,000 milestone bonus on passing probation! Let s be honest a lot of accountancy job ads look the same. This one doesn t because this isn t the same kind of firm. Fuel Accountancy Services is a modern, fast-growing, and genuinely forward-thinking practice that s built an outstanding reputation locally not just for doing great work, but for doing things differently. With ambitious growth plans, a vibrant culture, and a fresh approach to client relationships, we re now looking for a Client Manager to join our journey and play a key role in shaping what comes next. The Opportunity This is more than a portfolio management role. You ll work closely with the Directors, take ownership of a diverse and growing client base, and become a central part of both client success and internal team development. You ll have real influence not just over your clients, but over how we continue to build and evolve as a firm. What You ll Be Doing: Managing and delivering accounts and tax assignments from planning to completion. Supporting clients with ongoing accounting, tax, PAYE, and VAT responsibilities. Building strong, proactive relationships with clients (new and existing). Working closely with Directors to drive client service and growth. Mentoring, coaching, and developing junior team members. Contributing to a positive, collaborative team culture. About You You re an experienced Practice Accountant who enjoys working closely with clients and being part of a team that s going somewhere. You ll likely have: ACA / ACCA part-qualified, newly qualified, or AAT qualified. Around 7+ years experience in practice. Strong accounts preparation and tax knowledge. Experience with cloud accounting software, VAT and PAYE. Confident dealing directly with clients. A proactive, can-do mindset with energy and ambition. What You ll Get in Return: Competitive salary: £36,000 £41,000 depending on experience. 30 days holiday rising to 35 days. Training and study support. Professional subscriptions paid. Pension with employer contributions. Death-in-service cover. Regular team events. Flexi-working; 9:00am 4:30pm hours (total of 35 hours per week). £2,000 new recruit bonus payable upon successful completion of 6-month probation. Clear career progression with no glass ceilings. A voice in the future direction of the firm. Why Fuel A modern, waterfront, open-plan working environment. A business that s grown rapidly and is still accelerating. A team where you ll be trusted, supported and developed and a role where you can make an impact from day one. Ready for Your Next Step If you re looking for a role where you can grow, influence, and be part of something genuinely exciting, this could be exactly what you ve been waiting for.

We are actively looking to engage automotive product experts for an exciting role as an Ecommerce Manager in Alfreton, Derbyshire! The role will be based in Alfreton in Derbyshire on a hybrid basis of 2 days per week. Client Details Our client is a market-leading producer of high-end manufactured automotive products distributed across the UK and worldwide. You will be joining a fast-paced environment in a production and distribution logistics hub with circa 250 colleagues across operations, supply chain and production. The business is a growing SME business dedicated to bespoke UK manufacturing based in Alfreton, Derbyshire. The business is currently on-going a large transition into activating their product range within the E-Commerce space - utilising channels such as Amazon, Ebay etc. Job Description As a Ecommerce Manager you will report in to the Sales Director on a daily basis. You will be responsible for the following areas across the Alfreton, Derbyshire office: Set up, launch, and manage online sales channels across marketplaces such as eBay and Amazon, ensuring accurate product listings and consistent brand presentation. Independently develop and execute e-commerce sales strategies to drive revenue growth across a high-SKU automotive parts catalogue. Create, optimise, and maintain product listings, including pricing, descriptions, images, and keyword strategies to maximise visibility and conversion rates. Monitor marketplace performance metrics (sales, margins, traffic, conversion rates) and implement data-driven improvements. Collaborate closely with the Sales Director to align online sales strategies with overall commercial objectives and targets. Work alongside the Customer Service Manager to ensure a seamless customer journey, including handling queries, returns, and feedback effectively. Manage inventory coordination and stock availability across platforms, ensuring accurate syncing with internal systems for a large and complex SKU base. Stay up to date with marketplace policies, trends, and competitor activity, proactively identifying opportunities to expand channels and improve performance. The Ideal Candidate The successful candidate will have an expansive background in the manufacturing industry, ideally within the automotive parts sector. The ideal Ecommerce Managerwill have the following skills and experience: 3+ year's experience in a similar e-commerce sales based role (ideally within automotive or high volume manufactured products). Proven experience managing e-commerce marketplaces (e.g. eBay, Amazon), including setting up and optimising product listings. Strong analytical skills with the ability to interpret sales data, KPIs, and performance metrics to drive growth. Experience working with large product catalogues (high SKU environments), ideally within automotive parts or a similar technical industry. Ability to work independently, take initiative, and manage multiple priorities in a fast-paced environment. Excellent communication and collaboration skills to work effectively with sales leadership and customer service teams. Commutable to Alfreton, Derbyshire, on a hybrid basis. What's On Offer? 45,000- 55,000 32 days annual leave Company managerial bonus (uncapped in line with company profits) Comprehensive company benefits account. High-end training & development and large opportunities to progress.

HR Systems and Administration Co-ordinator Cannock Office Based Permanent Full-Time 37 hours per week 08 00 Role Overview: We are looking for a HR Systems and Administration Co-ordinator to join our clients HR Operations team based in Cannock. This role provides essential support across the full employee life cycle, managing HR administration processes, maintaining HR systems, supporting payroll, and ensuring compliance through auditing, reporting, and analytics. This is a varied and hands on role where no two days are the same from minute taking and data entry to analysing workforce trends and supporting HR projects. You ll play an integral part in ensuring the accuracy, efficiency, and integrity of our HR operations. If you have a keen eye for detail, enjoy working with data and systems, and have a background in HR and payroll administration, this role is a great opportunity to grow and develop with a dynamic and expanding business. Key Responsibilities: Systems Management Support the day-to-day management, maintenance, and development of HR systems. Ensure data accuracy through regular audits and system checks. Troubleshoot and resolve colleague HR system queries. Contribute to the continuous improvement of HR system processes and functionality. Maintain system security, access permissions, and compliance with data protection standards. Reporting and Analytics Produce regular and ad-hoc HR reports for management and business stakeholders. Analyse HR data to identify trends and support data-driven decision-making. Monitor workforce metrics such as absence, turnover, and training activity. Support the preparation of monthly payroll data and ensure accuracy in reporting. Administration Manage HRHelp inbox and respond promptly to employee and manager queries. Process all employee life-cycle transactions including new starters, leavers, and contractual changes. Maintain accurate and up-to-date personnel records in line with GDPR and company policies. Support HR team members with administrative tasks such as meeting coordination, minute-taking, and recruitment documentation. Ensure all HR documentation, forms, and templates are current and stored appropriately. Engagement and Communication Manage internal HR communication channels such as notice boards and digital updates. Support HR initiatives and projects that promote employee engagement and wellbeing. Contribute to a positive and collaborative HR service by providing excellent internal customer support. Assist with onboarding and induction activities for new starters to ensure a smooth transition into the business. Candidate Requirements Proficient in Microsoft Office packages (with a focus on Excel), HR systems and payroll processes. Excellent time management skills with the ability to prioritise multiple workloads. Previous administrative and system experience Strong communication skills with ability to build strong relationships across the business. A proactive, customer-focused approach with a commitment to delivering a high quality HR service. Apply If you have experience in HR administration, HR systems, or payroll support and are looking to develop your career within a fast moving HR Operations team, we would love to hear from you. Please apply with your CV. Early applications are encouraged.

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.

£34,151 - £38,560 assuming good attendance and 1-2 sleep ins per month Those huge small victories Working in our Children's Homes means being a part of a young person's day to day life. This means being there for the highest highs and lowest lows. Our shift leaders enable our young people to get their childhood back and create pathways to become well rounded adults - an incredibly rewarding role to have. There will be challenges along the way but there will also be the smallest moments which feel like a huge small victory! Our homes accommodate young people with social, emotional and mental health needs, and our aim is to create the best possible outcome for the young people in our care. Our shift leaders are fulfilled by the idea of affecting even the smallest positive changes in our young people, so we celebrate the little things. Get out what you put in You'll be a part of taking care of our young people day to day, making sure things run smoothly and creating lasting memories. As a shift leader you will also make sure that the staff team are supported and the home is operating at our high standards, prepared to step up to deputise for the Team Leaders. We're looking for someone able to relate to and build relationships with our young people. Compassionate, emotionally resilient, and supportive, you'll also be able to provide the leadership that inspires your colleagues. What we do for you We know you're going to do great things. For your hard work and commitment, we reward you with the best salary and benefits package in the care sector. With us, you'll get to make a genuine difference to the lives of our young people - plus you'll get: Salary: Base salary of £30,991 - £35,400 Bonuses: In addition to your base salary you'll do up to 4 sleep ins per months, these are paid at £80 per sleep (approx. £3,840 per year) and £1,400 Attendance Allowance - assuming good attendance, £1,000 Welcome Bonus - on successful completion of probation & £1,000 Loyalty Bonus (after 12 months of employment) Training: A full 4-week induction on our Care Academy Holiday: You'll work hard at WG, so you'll be rewarded with 7 weeks' holiday Progression: If career development is your thing, most of our team leaders and managers have been promoted from within our group - plus you could join our 'Aspire' future managers programme Flexible benefits package: meaning you can increase/decrease your holiday allowance, pension and life insurance - check out our benefits here Wellbeing: a host of wellbeing tools and advice including employee assistance Medical cover so you can claim back the cost of things like an opticians or dentist appointment and a host of high-street discounts Meals provided while you're at work Beautiful working environments with the very best facilities - check out our homes here A recommend a friend scheme that offers a £1,000 bonus every time Bring your whole-self to work Here at Witherslack Group, we celebrate everyone's differences as that's what makes us the best at what we do. Our young people come from all walks of life, diverse backgrounds and with different needs - and our workforce reflects that diversity, so that our teams can engage, encourage and inspire our young people to be themselves. You don't need experience, but there are a few things we'll be looking for from you: A 'can do' attitude - a team player who rolls up their sleeves to help others We genuinely care about our young people (and each other) so honesty and empathy is a must The resilience to be able to deal with challenging situations A full UK driving licence which you've held for at least 12 months If you don't have a Level 3 Diploma in Residential Childcare (or equivalent), we'll pay for you to study and support you every step of the way You'll start life as a RSW by joining our 'Care Academy' - 4 weeks of off the job training with experienced WG professionals to help you feel confident and ready to support our young people. Join the UK's best special education and care provider At Witherslack Group, inclusion is part of who we are. We're committed to creating an environment where everyone feels respected, valued and that they truly belong. As a specialist provider of education and care for children and young people with special educational needs, we understand the importance of embracing individuality and championing difference- especially when it comes to neurodiversity. We celebrate diverse perspectives, lived experiences, and the unique strengths that each person brings to our community. We welcome applications from people of all backgrounds, identities, and abilities. We are proud to be recognised as an inclusive employer and are committed to making our recruitment and workplace practices inclusive and accessible. If you need any adjustments to support you through the recruitment process or in the workplace, we'll be there every step of the way. By building a diverse and inclusive team, we're better able to support the children, young people and families we serve and ensure every member of our team can thrive, grow, and be their authentic self. The Witherslack Group is committed to safeguarding and promoting the welfare of its young people. This post is subject to an enhanced DBS check (we will cover the cost) and an online search. We are an equal opportunities employer welcoming applications from all sections of the community. For a full job description and person specification, please click here . To view our ex-offenders policy please click here . Children's Support Worker / Residential Support Worker / Care Worker / Career in Care / Working with Children / SEMH

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.

Project Manager Bristol 65,000 - 80,000 + Travel Allowance + Stay Away Included + Discretionary Bonus + Pension + Holidays + Private Medical Insurance + Package + Technical Progression + 'Immediate Start' Join a high-performing, fast-growing contractor delivering complex, high-value ( 100M+) mission-critical projects across the UK and Europe. Operating across data centres, pharmaceuticals, and advanced logistics, this business is known for delivering at pace, maintaining exceptional quality, and developing its people into senior leadership. This is a rare opportunity for an ambitious Project Manager to take ownership of technically demanding builds while stepping into a clearly defined path toward Senior Project Manager and ultimately Project Director level. You'll be part of a forward-thinking delivery team trusted by blue-chip clients, working in a business that gives you real responsibility, autonomy, and exposure to flagship projects. Your Role as a Project Manager Will Include: Monitor day-to-day site activities, reporting progress and issues to senior management Support in developing and tracking project programmes and budgets Liaise with contractors, consultants, and suppliers to maintain quality and compliance standards As a Project Manager, You Will Have: Strong Mechanical or Electrical bias with a build/construction background Demonstrated success delivering complex industrial, logistics, or pharmaceutical projects Background in delivering high-value construction projects within structured, fast-paced environments. Familiarity with full project lifecycle, from design coordination to commissioning and handover The Opportunity: You'll be assigned to a single long-term project at a time, giving you full ownership and continuity rather than being spread across multiple jobs. Projects are located across the UK, with travel and accommodation covered (Sunday-Friday) where required. There is also the opportunity to work on European projects, giving you exposure to major international builds. This is a business that rewards performance, accelerates careers, and puts you in a position to step up quickly into senior roles.

Sellick Partnership is currently recruiting an Interim Contracts Manager for our NHS Client based in the West Midlands. Please see details below: Role: Interim Contracts Manager Type: Interim Location: West Midlands - hybrid working Rate: 200- 300 per day Responsibilities: Contracts Manager Lead and manage a portfolio of Healthcare contracts and SLA Take lead responsibility for the development and independent negotiation of new and existing patient-related healthcare income contracts Preparing highly complex and sensitive contract documentation Coordinate with the Finance Department to obtain costed activity proposals Ensure that all income contracts achieve full cost recovery Provide specialist contract management training if required Represent the Trust at Contract Review meetings with commissioners Produce a monthly update report for senior colleagues on the progress of contracts To be responsible for prioritising and managing own workload along with supporting other team members, as and when required Person specification: Contracts Manager NHS experience The ability to work with minimal direct supervision, ensuring that time and quality requirements are met Strong organisational skills How to apply: To apply, please submit your CV or contact Adam Rouse in the Sellick Partnership Derby office for a confidential chat. 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.

An exciting opportunity has arisen at one of the Southeast's fastest-growing professional services firms for a full-time Corporate Governance Assistant Manager to join their market-leading Corporate Governance team. This role is central to a busy, high-performing department delivering first-class governance and company secretarial services to a broad portfolio of corporate clients and LLPs. The successful candidate will be CGI-qualified and capable of hitting the ground running, providing excellent support to the Manager and team, while managing their own client portfolio. Responsibilities include arranging company and LLP formations, assisting with reorganisations, maintaining statutory records, preparing and filing confirmation statements and other statutory documents with Companies House, drafting minutes and resolutions, and conducting Companies House searches. The role also covers day-to-day company secretarial duties such as officer appointments and resignations, changes of registered office, updates to accounting reference dates, and ensuring compliance with all corporate governance requirements. Candidates should be CGI-qualified with relevant experience, strong corporate administration skills, and proficiency in MS Office. Familiarity with Diligent Entities is desirable. The ideal candidate will be highly organised, detail-oriented, and able to work effectively with senior management, demonstrating initiative, professionalism, and a strong commitment to delivering exceptional client service.

Commercial Finance Manager - £55000-£65000 - Chester Hays Senior Finance are working with a rapidly growing wholesale business in the Chester area to recruit a Commercial Finance Manager. As the Commercial Finance Manager, you will play a pivotal role within our Finance Team, partnering with the Senior Leadership Team to shape decisions and drive growth throughout the business. This is a high impact role in a fast-paced environment, that requires strong commercial acumen, excellent analytical capability and the ability to both interpret and present complex business data with commercial insight. The role combines planning and forecasting with in-depth analysis and is ideal for someone who wants to add immediate value and have a real impact on commercial decisions. Budgeting and Forecasting • Lead on planning, budgeting and forecasting, designing and maintaining robust financial models• Provide clear commercial insight and reporting to the senior leadership team• Own pricing strategy and margin management working alongside the FD• Ensure strong alignment between budgeted commercial commitments and operational capability• Production and distribution of weekly revenue and EBITDA forecasts Month End Reporting • Produce month end variance analysis, including a detailed budget variance review - highlighting risks and opportunities• Revenue reconciliation between financial systems• Produce quarterly board pack for SLT and Group distribution• Deliver in-depth sales and margin analysis• Prepare and distribute Customer Business Analysis reports• Maintain monthly KPI reporting• Play a key role in implementation of the new financial system regarding the specification of reports• Develop and maintain Power BI reports to inform commercial decision making Business Partnering • Collaborate with sales, finance and operational teams to challenge performance and improve profitability• Lead on quarterly business reviews with budget holders• Work closely with the Head of Sales to model scenarios for new business opportunities to ensure optimal profitability Skills & Experience • Qualified Accountant• Experience in a fast-paced environment• Strong commercial acumen and attention to detail• Understanding of pricing, margin management and commercial performance• Excellent communication and stakeholder management skills• Highly proficient in Microsoft Excel and Word; confident using IT systems• Exposure to BC / Microsoft Dynamics and Power BI desirable We are keen to speak to qualified accountants with relevant commercial experience in a product related sector and a right to work in the UK. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #

About Our Client: Our esteemed client, one of the UK's foremost independent timber and building supplies merchants with a strong presence in the South East, is seeking an Assistant Manager to join their dynamic team. This exciting opportunity arises due to an internal promotion within their top-performing branch. Position Overview: As an Assistant Manager, you will play a pivotal role in driving sales for the branch and managing the branch when the Branch Manager is absent. Your responsibilities encompass managing staff, generating sales, motivating the sales team, and delivering exceptional service to trade and retail customers, with a primary focus on converting customer inquiries into sales. Principal Duties and Responsibilities: Leadership: Motivate and lead internal sales staff to achieve excellence. Branch Management: Step in for the Branch Manager when needed, ensuring the seamless operation of the branch. Customer Engagement: Respond to incoming calls and provide face-to-face support at the trade counter. Sales Success: Turn initial customer inquiries into sales, generate and send quotes, and expertly manage the customer relationship management (CRM) system, proactively pursuing warm leads and opportunities. Technical Expertise: Offer technical advice, support, and outstanding after-sales service to customers. Customer Growth: Identify opportunities to boost annual spending from existing customers, nurturing strong and lasting trade relationships. Administrative Efficiency: Manage daily administrative tasks, including staff rotas. Candidate Requirements: Our client thrives in a dynamic, entrepreneurial environment and is looking for individuals who possess both the skills and the ambition to grow with their business. The ideal candidate should: Have prior experience in a builders merchants environment and a deep understanding of trade and retail customer needs. Exhibit strong sales skills, with a determination to succeed and a self-driven approach. Possess excellent product knowledge, warm management style, and the ability to forge lasting customer relationships. Demonstrate IT proficiency, with the capacity to swiftly adapt to new systems and enter data accurately. Benefits: Competitive Salary: Our client offers a competitive annual salary of £55,000 , rewarding your valuable contributions. Usual Benefits: In addition to the salary, you will receive typical benefits such as healthcare, pension, ensuring your well-being and work-life balance. Apply Now: If you're excited about this opportunity to work with our esteemed client and play a crucial role in the success and growth of their top-performing branch, we invite you to apply immediately. We look forward to meeting you and witnessing your potential to make a difference. Join our client in building a brighter future together!

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.

An exciting opportunity has arisen at one of the Southeast's fastest-growing professional services firms for a full-time Corporate Governance Assistant Manager to join their market-leading Corporate Governance team. This role is central to a busy, high-performing department delivering first-class governance and company secretarial services to a broad portfolio of corporate clients and LLPs. The successful candidate will be CGI-qualified and capable of hitting the ground running, providing excellent support to the Manager and team, while managing their own client portfolio. Responsibilities include arranging company and LLP formations, assisting with reorganisations, maintaining statutory records, preparing and filing confirmation statements and other statutory documents with Companies House, drafting minutes and resolutions, and conducting Companies House searches. The role also covers day-to-day company secretarial duties such as officer appointments and resignations, changes of registered office, updates to accounting reference dates, and ensuring compliance with all corporate governance requirements. Candidates should be CGI-qualified with relevant experience, strong corporate administration skills, and proficiency in MS Office. Familiarity with Diligent Entities is desirable. The ideal candidate will be highly organised, detail-oriented, and able to work effectively with senior management, demonstrating initiative, professionalism, and a strong commitment to delivering exceptional client service.

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.

Onsite Account Manager WS People Providers WS People Providers are currently looking for an experienced Onsite Logistics Account Manager to join our team, based in Leamington Spa , supporting one of our key logistics clients. Who are we? WS People Providers are a trusted recruitment partner, specialising in providing reliable, high-quality staffing solutions across logistics, transport, warehousing and industrial sectors. We pride ourselves on building strong relationships with both our clients and candidates, delivering a professional, responsive and people-focused service. Role Overview We are seeking a highly motivated and experienced Onsite Account Manager to manage the day-to-day recruitment and operational requirements for one of our valued clients. As the Onsite Account Manager, you will be responsible for liaising directly with the client, fulfilling bookings, recruiting and vetting candidates, and managing the full end-to-end recruitment process. Hours: Monday to Friday, with flexibility required to meet the needs of the business. Weekend work may apply. Pay Rate: £31,000 - £35,000 per annum, dependent on experience. Location: Leamington Spa. Job Type: Permanent, internal. Key Responsibilities Establish and maintain strong working relationships with the client s management team to fully understand their staffing requirements. Manage all aspects of the recruitment process, including sourcing, screening, interviewing and selecting candidates. Coordinate and fill bookings in a timely manner, ensuring staffing levels meet the client s operational needs. Support candidate assessments, right-to-work checks and background checks in line with client requirements and industry regulations. Provide ongoing support and guidance to candidates throughout the recruitment process, from initial contact through to onboarding and placement. Work closely with internal teams to improve recruitment strategies and enhance service delivery. Demonstrate flexibility with working hours to support client meetings, candidate availability and business requirements, including occasional out-of-hours work. Requirements Previous experience in recruitment, ideally within logistics, transport, warehousing or industrial sectors. Strong understanding of logistics operations and the ability to assess candidate suitability against client-specific requirements. Excellent communication and interpersonal skills, with the ability to build strong relationships with both clients and candidates. Ability to work independently and as part of a team in a fast-paced environment. A valid driving licence and willingness to travel to client sites when required. Flexibility to work outside of standard office hours to meet business demands. To be considered for this position, please apply directly.

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.