Your new company Working for a division of the Health and Social services group within the Welsh Government. Your new role Provide a comprehensive operational support service, including screening court applications and orders, formatting confidential documentation, drafting communications and minutes to a high standard, arranging meetings, monitoring incoming communications, filing and other administrative duties whilst working to tight timescales. Deal with sensitive telephone discussions and queries with service users. Contribute to the maintenance of internal records, including case related information, ensuring iShare records are complete and enabling effective compliance with Data Protection and Freedom of Information requirements. Working with complex CRM systems. What you'll need to succeed Excellent customer service skills, active listening skills and showing empathy and understanding. High level of administrative experience, along with any case management experience Experience working with CRMs, confident in navigating different systems and proficient in the use of Microsoft packages. Must pass a DBS check What you'll get in return 15.10 per hour Temporary role for an initial period of 6 months, with a possible extension Hybrid working, 2 days in office once training is complete. 37 hours per week DBS check will be covered by agency. 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. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
May 04, 2026
Seasonal
Your new company Working for a division of the Health and Social services group within the Welsh Government. Your new role Provide a comprehensive operational support service, including screening court applications and orders, formatting confidential documentation, drafting communications and minutes to a high standard, arranging meetings, monitoring incoming communications, filing and other administrative duties whilst working to tight timescales. Deal with sensitive telephone discussions and queries with service users. Contribute to the maintenance of internal records, including case related information, ensuring iShare records are complete and enabling effective compliance with Data Protection and Freedom of Information requirements. Working with complex CRM systems. What you'll need to succeed Excellent customer service skills, active listening skills and showing empathy and understanding. High level of administrative experience, along with any case management experience Experience working with CRMs, confident in navigating different systems and proficient in the use of Microsoft packages. Must pass a DBS check What you'll get in return 15.10 per hour Temporary role for an initial period of 6 months, with a possible extension Hybrid working, 2 days in office once training is complete. 37 hours per week DBS check will be covered by agency. 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. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Are you looking for the next step in your Conveyancing career? My client is well known in the conveyancing world and they are looking for a Legal Manager to join their team. Legal managers are both skilled conveyancers & experienced people managers. You'll have worked in both High Street and Volume conveyancing settings, understanding how to leverage the latest technologies & systems together with a first class customer service approach. As a Legal Manager, the team's success is in your hands and you'll be responsible for day to day operations ranging from technical escalations, queries, catch ups, coaching and much more! If this sounds like an opportunity for you then apply now with your most up to date CV.
May 04, 2026
Full time
Are you looking for the next step in your Conveyancing career? My client is well known in the conveyancing world and they are looking for a Legal Manager to join their team. Legal managers are both skilled conveyancers & experienced people managers. You'll have worked in both High Street and Volume conveyancing settings, understanding how to leverage the latest technologies & systems together with a first class customer service approach. As a Legal Manager, the team's success is in your hands and you'll be responsible for day to day operations ranging from technical escalations, queries, catch ups, coaching and much more! If this sounds like an opportunity for you then apply now with your most up to date CV.
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Family First Nursery Group
Asfordby, Leicestershire
Small People Nursery Hours: Perm 20 hours per week Monday - Friday - Hourly rate: up to £12.76 p/h Level 2 Practitioner Do you love the outdoors? Do you like being outside in all weather? Are you happy to get stuck in? Then Small People Nursery is the perfect place for you. Small People is an outdoor nursery based on a Forest School approach. Small People are passionate about providing rich, varied and spontaneous experiences which actively engage our children. Small People offers an exciting open air learning environment where children have the freedom to explore, be physically active, We are committed, as an organisation and an employer, to a policy of equal opportunities and inclusion in terms of recruitment, training and service delivery. It has an innovative and inspiring approach to early childhood education, where each child is valued as strong, capable and resilient, rich with deep curiosity and potential. Requirements Requirements What do we need from you? - Passion and commitment to working in childcare - Ability to work shifts between 7.00-6.00pm Monday to Friday working 40 hours per week - Commitment to continual development - Have sound Knowledge of EYFS - Level 2 Childcare full and relevant qualification Benefits Why Join Us? At Family First, we value our team members and offer a comprehensive benefits package, including: Annual leave: 24 days' holiday, plus bank holidays and an extra paid day off for your birthday Childcare discount: 75% off nursery fees for team members Wellbeing support: Access to a confidential Employee Assistance Programme helpline Learning and development: Tailored training and development opportunities to support your career growth Pension: Company pension scheme Employee discounts: Access to Perkaboo employee discounts Mentoring: Employee mentoring programme Health and wellbeing: Dedicated health and wellbeing support Refer a Friend scheme: Earn up to £750 through our referral programme We are committed to safeguarding and protecting the welfare of children and expect all staff and volunteers to share this commitment. A Disclosure and Barring Service Certificate will be required for all posts. This post will be subject to enhanced checks as part of our Safeguarding Duty. Small People is part of the Family First Group where we take great care to treat everyone as a person, with equal rights and responsibilities to any other individual, whether they are an adult or a child. We are committed to providing equality of opportunity and anti-discriminatory practice for all children and families according to their individual needs. Discrimination on the grounds of gender, age, race, religion or belief, marriage or civil partnership, disability, sexual orientation, gender reassignment, pregnancy or maternity, ethnic or national origin, or political belief has no place within the Family First Group.
May 04, 2026
Full time
Small People Nursery Hours: Perm 20 hours per week Monday - Friday - Hourly rate: up to £12.76 p/h Level 2 Practitioner Do you love the outdoors? Do you like being outside in all weather? Are you happy to get stuck in? Then Small People Nursery is the perfect place for you. Small People is an outdoor nursery based on a Forest School approach. Small People are passionate about providing rich, varied and spontaneous experiences which actively engage our children. Small People offers an exciting open air learning environment where children have the freedom to explore, be physically active, We are committed, as an organisation and an employer, to a policy of equal opportunities and inclusion in terms of recruitment, training and service delivery. It has an innovative and inspiring approach to early childhood education, where each child is valued as strong, capable and resilient, rich with deep curiosity and potential. Requirements Requirements What do we need from you? - Passion and commitment to working in childcare - Ability to work shifts between 7.00-6.00pm Monday to Friday working 40 hours per week - Commitment to continual development - Have sound Knowledge of EYFS - Level 2 Childcare full and relevant qualification Benefits Why Join Us? At Family First, we value our team members and offer a comprehensive benefits package, including: Annual leave: 24 days' holiday, plus bank holidays and an extra paid day off for your birthday Childcare discount: 75% off nursery fees for team members Wellbeing support: Access to a confidential Employee Assistance Programme helpline Learning and development: Tailored training and development opportunities to support your career growth Pension: Company pension scheme Employee discounts: Access to Perkaboo employee discounts Mentoring: Employee mentoring programme Health and wellbeing: Dedicated health and wellbeing support Refer a Friend scheme: Earn up to £750 through our referral programme We are committed to safeguarding and protecting the welfare of children and expect all staff and volunteers to share this commitment. A Disclosure and Barring Service Certificate will be required for all posts. This post will be subject to enhanced checks as part of our Safeguarding Duty. Small People is part of the Family First Group where we take great care to treat everyone as a person, with equal rights and responsibilities to any other individual, whether they are an adult or a child. We are committed to providing equality of opportunity and anti-discriminatory practice for all children and families according to their individual needs. Discrimination on the grounds of gender, age, race, religion or belief, marriage or civil partnership, disability, sexual orientation, gender reassignment, pregnancy or maternity, ethnic or national origin, or political belief has no place within the Family First Group.
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: Support the Senior Product Manager - Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements. Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem. Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption, supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business. Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development. Join Quarterly Planning & support experimentation & development teams in sprint planning as required. Support our Workflow management vendor partnerships & ensure tooling remains best-in-class. Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirements. Support MarTech leadership in implementing martech strategy and specific initiatives. What you'll bring: Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations. Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others. A proven track record of product ownership in a complex & fast moving organisation. Proven track record influencing and working with decision makers to drive strategic decisions. Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial. Demonstrable experience of having built effective and trusted relationships with partners. Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations. A passion for media and technology - it's at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale. Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities Embedding best practice technologies and championing their adoption to further consolidate technology choices. Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation. Building internal Martech capabilities to enable & empower teams aoss Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. offer.
May 04, 2026
Full time
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: Support the Senior Product Manager - Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements. Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem. Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption, supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business. Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development. Join Quarterly Planning & support experimentation & development teams in sprint planning as required. Support our Workflow management vendor partnerships & ensure tooling remains best-in-class. Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirements. Support MarTech leadership in implementing martech strategy and specific initiatives. What you'll bring: Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations. Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others. A proven track record of product ownership in a complex & fast moving organisation. Proven track record influencing and working with decision makers to drive strategic decisions. Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial. Demonstrable experience of having built effective and trusted relationships with partners. Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations. A passion for media and technology - it's at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale. Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities Embedding best practice technologies and championing their adoption to further consolidate technology choices. Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation. Building internal Martech capabilities to enable & empower teams aoss Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. offer.
Contract Scotland are working with a well-established and growing specialist contractor to recruit a Quantity Surveyor or Assistant Quantity Surveyor to join their commercial team in Dunfermline. This is a great opportunity for someone with around 3+ years post-graduate experience who's looking to develop their career in a hands-on, commercially focused role with real exposure across the full proje click apply for full job details
May 04, 2026
Full time
Contract Scotland are working with a well-established and growing specialist contractor to recruit a Quantity Surveyor or Assistant Quantity Surveyor to join their commercial team in Dunfermline. This is a great opportunity for someone with around 3+ years post-graduate experience who's looking to develop their career in a hands-on, commercially focused role with real exposure across the full proje click apply for full job details
Become a Self-Employed Delivery Driver with Evri with our new and improved application process now LIVE - apply in as little as 5 minutes and join one of the UK's largest courier networks Looking for a new role or a more flexible way to earn that fits around your lifestyle? Join Evri as a self-employed delivery driver working on a schedule that suits you. PLUS, with our Day 1 roadmap, you can get allocated a fixed round straight away, so you can have stability with your time and income. With Evri delivering to over 25 million households across the UK and partnering with industry-leading brands, you'll be part of a trusted and fast-growing network. Why Join Evri? You're in control - work on a self-employed basis Guaranteed earnings for your first deliveries while you learn Start delivering parcels from your training session onwards Plenty of work available from flexible work to fixed round options from Day 1 Local work - deliver in your community Fast payments - with options for early withdrawals What You'll Do: Collect parcels from your local Evri site Delivering in your local area (typically 4-6 hours per day) What You'll Earn £15-£18 per hour (Opportunity to Earn), based on competitive per-parcel rates. Many couriers exceed this once they're up to speed! Your pay explained - £15-£18 (Opportunity to Earn) is based on a competitive rate per parcel (piece-rate) and is regularly exceeded by couriers once up to speed! Your hourly earnings are driven by volume and efficiency, and we boost your income in line with an experienced courier to ensure you earn at least the daily earnings from your delivery unit and help you get your feet off the ground. Whether you're looking for regular work or extra income on the side, Evri makes it easy to get started. Terms & Conditions apply. Full details provided upon joining.
May 04, 2026
Full time
Become a Self-Employed Delivery Driver with Evri with our new and improved application process now LIVE - apply in as little as 5 minutes and join one of the UK's largest courier networks Looking for a new role or a more flexible way to earn that fits around your lifestyle? Join Evri as a self-employed delivery driver working on a schedule that suits you. PLUS, with our Day 1 roadmap, you can get allocated a fixed round straight away, so you can have stability with your time and income. With Evri delivering to over 25 million households across the UK and partnering with industry-leading brands, you'll be part of a trusted and fast-growing network. Why Join Evri? You're in control - work on a self-employed basis Guaranteed earnings for your first deliveries while you learn Start delivering parcels from your training session onwards Plenty of work available from flexible work to fixed round options from Day 1 Local work - deliver in your community Fast payments - with options for early withdrawals What You'll Do: Collect parcels from your local Evri site Delivering in your local area (typically 4-6 hours per day) What You'll Earn £15-£18 per hour (Opportunity to Earn), based on competitive per-parcel rates. Many couriers exceed this once they're up to speed! Your pay explained - £15-£18 (Opportunity to Earn) is based on a competitive rate per parcel (piece-rate) and is regularly exceeded by couriers once up to speed! Your hourly earnings are driven by volume and efficiency, and we boost your income in line with an experienced courier to ensure you earn at least the daily earnings from your delivery unit and help you get your feet off the ground. Whether you're looking for regular work or extra income on the side, Evri makes it easy to get started. Terms & Conditions apply. Full details provided upon joining.
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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. 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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. 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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: Fire Safety Business Partner Department: Health and Safety Hours: 37.5 Monday to Friday 09:00 - 17:30 Contract: Permanent Salary: £58,000 About Us The London Clinic is one of the UK's largest independent charitable hospitals, established in 1932, with a long-standing reputation for clinical excellence and high standards of patient care click apply for full job details
May 04, 2026
Full time
Job Title: Fire Safety Business Partner Department: Health and Safety Hours: 37.5 Monday to Friday 09:00 - 17:30 Contract: Permanent Salary: £58,000 About Us The London Clinic is one of the UK's largest independent charitable hospitals, established in 1932, with a long-standing reputation for clinical excellence and high standards of patient care click apply for full job details
Closing date: 28-05-2026 Customer Team Member Location: Bridge Road , Kyle of Lochalsh, IV40 8BH Pay: £13.04 per hour Contract: 39 hours per week + regular overtime, permanent contract, full time Working pattern: 5 shifts per week early mornings from 6am, including weekends, to be discussed at interview. Role will include working in our in-store bakery. Full, paid training provided You can apply for this role using your mobile device (no CV needed!) You must be aged 18 or over to apply for this role as it may involve either, working before 6am or after 10pm, or some other business-related needs. We're looking for Customer Team Members to join our team at Co-op. When you join Co-op, you'll get amazing benefits including 31 days holiday, a pension with up to 10% Co-op contribution, access to virtual healthcare services for you and your family, and a 30% discount on all Co-op products in our stores. As a Customer Team Member, you'll be part of a friendly team that's dedicated to helping our customers. We'll look to you to provide them with great service on the tills and the shop floor, while also performing a wide range of other tasks around the store like re-stocking shelves and cleaning up spillages. At Co-op, we do things a different way. For over 175 years we've focused on making things fairer for our members and their communities, and as a colleague we promise to take care of you. You'll get support for your physical, mental, and financial wellbeing, as well as market leading policies to help you through life events from bereavement and pregnancy loss to fertility treatment and menopause. What you'll do Friendly and thoughtful service - you'll put customers first in everything you do: responding to queries, championing Co-op products and Membership, working in our in-store bakery and doing all you can to deliver a great shopping experience Work together to make everyone's day better - supporting your store colleagues to solve problems for customers and members Make sure the store safe and legal - keep the shelves stocked and make sure prices, dates, and temperatures are all as they should be Help introduce new products and services - make changes feel natural, sharing experiences with your colleagues so everyone learns together Support your local community - get involved in all kinds of activities and events! This job would suit people who have A genuine care for the needs of customers and members Great people skills, with the ability to build positive relationships with customers and colleagues A positive approach to change and problem solving The flexibility to work a range of different shifts Why Co-op? 30% discount on all Co-op products in-store plus 10% discounts on all other brands A pension scheme with up to 10% employer contributions Stream- a money management app giving you access to a percentage of your pay as you earn it 31 days of holiday (including bank holidays, pro rata for part time colleagues) Virtual healthcare services for you and your family, including access to GP appointments, eye care, mental health support, and nutrition and fitness consultations 24/7 employee assistance service Full, paid training and dedicated support for your personal development and career progression Rotas shared three weeks in advance and accessible on your phone Cycle-to-work scheme Building an inclusive workplace We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion We reserve the right to remove a vacancy before the scheduled closing date.
May 04, 2026
Full time
Closing date: 28-05-2026 Customer Team Member Location: Bridge Road , Kyle of Lochalsh, IV40 8BH Pay: £13.04 per hour Contract: 39 hours per week + regular overtime, permanent contract, full time Working pattern: 5 shifts per week early mornings from 6am, including weekends, to be discussed at interview. Role will include working in our in-store bakery. Full, paid training provided You can apply for this role using your mobile device (no CV needed!) You must be aged 18 or over to apply for this role as it may involve either, working before 6am or after 10pm, or some other business-related needs. We're looking for Customer Team Members to join our team at Co-op. When you join Co-op, you'll get amazing benefits including 31 days holiday, a pension with up to 10% Co-op contribution, access to virtual healthcare services for you and your family, and a 30% discount on all Co-op products in our stores. As a Customer Team Member, you'll be part of a friendly team that's dedicated to helping our customers. We'll look to you to provide them with great service on the tills and the shop floor, while also performing a wide range of other tasks around the store like re-stocking shelves and cleaning up spillages. At Co-op, we do things a different way. For over 175 years we've focused on making things fairer for our members and their communities, and as a colleague we promise to take care of you. You'll get support for your physical, mental, and financial wellbeing, as well as market leading policies to help you through life events from bereavement and pregnancy loss to fertility treatment and menopause. What you'll do Friendly and thoughtful service - you'll put customers first in everything you do: responding to queries, championing Co-op products and Membership, working in our in-store bakery and doing all you can to deliver a great shopping experience Work together to make everyone's day better - supporting your store colleagues to solve problems for customers and members Make sure the store safe and legal - keep the shelves stocked and make sure prices, dates, and temperatures are all as they should be Help introduce new products and services - make changes feel natural, sharing experiences with your colleagues so everyone learns together Support your local community - get involved in all kinds of activities and events! This job would suit people who have A genuine care for the needs of customers and members Great people skills, with the ability to build positive relationships with customers and colleagues A positive approach to change and problem solving The flexibility to work a range of different shifts Why Co-op? 30% discount on all Co-op products in-store plus 10% discounts on all other brands A pension scheme with up to 10% employer contributions Stream- a money management app giving you access to a percentage of your pay as you earn it 31 days of holiday (including bank holidays, pro rata for part time colleagues) Virtual healthcare services for you and your family, including access to GP appointments, eye care, mental health support, and nutrition and fitness consultations 24/7 employee assistance service Full, paid training and dedicated support for your personal development and career progression Rotas shared three weeks in advance and accessible on your phone Cycle-to-work scheme Building an inclusive workplace We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion We reserve the right to remove a vacancy before the scheduled closing date.
Job Description: Castle Cary £29,400- £31,200 (including shift allowance, DOE) + Performance Bonus & Exceptional Benefits 37 Hours per week - Mon-Fri - Weekly rotating shifts Why Join Us? We care about the world and your future. Mars offers competitive compensation and benefits along with some great perks, like fun freebies and best-in-class development. As a Mars Associate, you have our ongoing commitment to your growth and development as you work across our world-famous brands. The world we want tomorrow starts with how we do business today, and we're here to support you every step of the way. The Role This is a hands-on role ensuring raw materials and machinery are running smoothly to keep our production process efficient and safe. You'll play a key part in quality, safety, and output while working across different shifts. Full training is provided Shift Pattern Mon -Fri 37.5 Hours: Week 1: 6am-2pm Week 2: 2pm-10pm Week 3: 10pm-6am and then repeat. What's in it for you? Career growth opportunities with structured development & Mars University Private healthcare + equal parental leave Generous pension (up to 9% contribution) Life assurance (4x salary) EV salary sacrifice scheme Gym membership & wellbeing support Annual leave starting at 24 days, rising to 32 with service Free perks on site: parking, Lavazza coffee, tea, fruit twice a week, and access to our employee shop What We're Looking For IT skills: Confident using Outlook, Word & Excel Transport: Full driving licence + own transport Personal skills: Self-motivated, detail-oriented, organised, and able to manage time effectively Health & Safety awareness: Strong understanding of H&S and quality standards Additional Strengths: Willing to take a hands on approach and committed to learning. Key Responsibilities Operate & monitor machinery: Ensure efficient production runs and quality outputs Handle materials: Prepare, load, and safely store raw materials Record keeping: Maintain accurate production records and reports Safety first: Follow all safety procedures and help maintain a safe workplace What You Can Expect from Mars Work alongside 130,000+ Associates worldwide guided by our Five Principles Be part of a purpose-driven company shaping "the world we want tomorrow" Access world-class training & development from day one Join a company with an industry-leading salary and benefits package
May 04, 2026
Full time
Job Description: Castle Cary £29,400- £31,200 (including shift allowance, DOE) + Performance Bonus & Exceptional Benefits 37 Hours per week - Mon-Fri - Weekly rotating shifts Why Join Us? We care about the world and your future. Mars offers competitive compensation and benefits along with some great perks, like fun freebies and best-in-class development. As a Mars Associate, you have our ongoing commitment to your growth and development as you work across our world-famous brands. The world we want tomorrow starts with how we do business today, and we're here to support you every step of the way. The Role This is a hands-on role ensuring raw materials and machinery are running smoothly to keep our production process efficient and safe. You'll play a key part in quality, safety, and output while working across different shifts. Full training is provided Shift Pattern Mon -Fri 37.5 Hours: Week 1: 6am-2pm Week 2: 2pm-10pm Week 3: 10pm-6am and then repeat. What's in it for you? Career growth opportunities with structured development & Mars University Private healthcare + equal parental leave Generous pension (up to 9% contribution) Life assurance (4x salary) EV salary sacrifice scheme Gym membership & wellbeing support Annual leave starting at 24 days, rising to 32 with service Free perks on site: parking, Lavazza coffee, tea, fruit twice a week, and access to our employee shop What We're Looking For IT skills: Confident using Outlook, Word & Excel Transport: Full driving licence + own transport Personal skills: Self-motivated, detail-oriented, organised, and able to manage time effectively Health & Safety awareness: Strong understanding of H&S and quality standards Additional Strengths: Willing to take a hands on approach and committed to learning. Key Responsibilities Operate & monitor machinery: Ensure efficient production runs and quality outputs Handle materials: Prepare, load, and safely store raw materials Record keeping: Maintain accurate production records and reports Safety first: Follow all safety procedures and help maintain a safe workplace What You Can Expect from Mars Work alongside 130,000+ Associates worldwide guided by our Five Principles Be part of a purpose-driven company shaping "the world we want tomorrow" Access world-class training & development from day one Join a company with an industry-leading salary and benefits package
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
CNC Turner Setter Operator Leicester Production £15.50 per hour Join one of the UK's leading subcontract engineering companies! We're currently looking for a skilled CNC Turner Setter Operator to join our growing production team in Leicester click apply for full job details
May 04, 2026
Full time
CNC Turner Setter Operator Leicester Production £15.50 per hour Join one of the UK's leading subcontract engineering companies! We're currently looking for a skilled CNC Turner Setter Operator to join our growing production team in Leicester click apply for full job details
Receptionist/Work Experience Host Location: Manchester, M3 Salary: £12.71 per hour Job Type: Full-time Our client is currently seeking a professional and personable Receptionist to join their team in a busy office environment. This is a fantastic opportunity for someone with a front-of-house or hospitality background who is looking to transition into an office-based role while continuing to deliver outstanding customer service. As the first point of contact for visitors, clients, and staff, you will be the face of the business, ensuring a welcoming and professional experience at all times. The Role: Greeting visitors and directing them appropriately Managing incoming calls, emails, and enquiries Maintaining reception and meeting room areas to a high standard Supporting the wider team with administrative duties Handling incoming and outgoing post/couriers Scheduling meetings and assisting with office coordination Providing exceptional service to both internal and external stakeholders The Ideal Candidate: Previous experience in reception, front-of-house, hospitality, or customer-facing roles Excellent communication and interpersonal skills Professional, approachable, and well-presented Strong organisational ability with attention to detail Confident using Microsoft Office and office systems Able to multitask and work efficiently in a fast-paced environment What s on Offer: Supportive and collaborative working environment Opportunity to develop within an office-based role Regular working hours and long-term career prospects This is an excellent opportunity for someone who enjoys working with people and wants to bring their hospitality or customer service expertise into a professional office setting.
May 04, 2026
Contractor
Receptionist/Work Experience Host Location: Manchester, M3 Salary: £12.71 per hour Job Type: Full-time Our client is currently seeking a professional and personable Receptionist to join their team in a busy office environment. This is a fantastic opportunity for someone with a front-of-house or hospitality background who is looking to transition into an office-based role while continuing to deliver outstanding customer service. As the first point of contact for visitors, clients, and staff, you will be the face of the business, ensuring a welcoming and professional experience at all times. The Role: Greeting visitors and directing them appropriately Managing incoming calls, emails, and enquiries Maintaining reception and meeting room areas to a high standard Supporting the wider team with administrative duties Handling incoming and outgoing post/couriers Scheduling meetings and assisting with office coordination Providing exceptional service to both internal and external stakeholders The Ideal Candidate: Previous experience in reception, front-of-house, hospitality, or customer-facing roles Excellent communication and interpersonal skills Professional, approachable, and well-presented Strong organisational ability with attention to detail Confident using Microsoft Office and office systems Able to multitask and work efficiently in a fast-paced environment What s on Offer: Supportive and collaborative working environment Opportunity to develop within an office-based role Regular working hours and long-term career prospects This is an excellent opportunity for someone who enjoys working with people and wants to bring their hospitality or customer service expertise into a professional office setting.
We are looking for an experienced Deputy looking for progression or a Registered Manager to join our EBD home located in Worthing. As our Registered Manager, youll lead a supportive, skilled and motivated team to provide outstanding care for young people with emotional and behavioural difficulties. Your leadership will shape the homes culture, drive continuous improvement and ensure children feel s click apply for full job details
May 04, 2026
Full time
We are looking for an experienced Deputy looking for progression or a Registered Manager to join our EBD home located in Worthing. As our Registered Manager, youll lead a supportive, skilled and motivated team to provide outstanding care for young people with emotional and behavioural difficulties. Your leadership will shape the homes culture, drive continuous improvement and ensure children feel s click apply for full job details
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 2026
Full time
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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Closing date: 06-05-2026 Customer Team Member Location: Ryedale Court Haxby, York, YO32 3SA Pay: £13.04 per hour Contract: 12 hours per week + regular overtime, permanent contract, part time Working pattern: A mix of opening, closing, and mid day shifts, with flexibility across the week including at least 2 evening shifts and 1 weekend shift. Either, Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. Full, paid training provided You can apply for this role using your mobile device (no CV needed!) We're looking for Customer Team Members to join our team at Co-op. When you join Co-op, you'll get amazing benefits including 31 days holiday, a pension with up to 10% Co-op contribution, access to virtual healthcare services for you and your family, and a 30% discount on all Co-op products in our stores. As a Customer Team Member, you'll be part of a friendly team that's dedicated to helping our customers. We'll look to you to provide them with great service on the tills and the shop floor, while also performing a wide range of other tasks around the store like re-stocking shelves and cleaning up spillages. At Co-op, we do things a different way. For over 175 years we've focused on making things fairer for our members and their communities, and as a colleague we promise to take care of you. You'll get support for your physical, mental, and financial wellbeing, as well as market leading policies to help you through life events from bereavement and pregnancy loss to fertility treatment and menopause. What you'll do Friendly and thoughtful service - you'll put customers first in everything you do: responding to queries, championing Co-op products and Membership, and doing all you can to deliver a great shopping experience Work together to make everyone's day better - supporting your store colleagues to solve problems for customers and members Make sure the store safe and legal - keep the shelves stocked and make sure prices, dates, and temperatures are all as they should be Help introduce new products and services - make changes feel natural, sharing experiences with your colleagues so everyone learns together Support your local community - get involved in all kinds of activities and events! This job would suit people who have A genuine care for the needs of customers and members Great people skills, with the ability to build positive relationships with customers and colleagues A positive approach to change and problem solving The flexibility to work a range of different shifts Why Co-op? 30% discount on all Co-op products in-store plus 10% discounts on all other brands A pension scheme with up to 10% employer contributions Stream- a money management app giving you access to a percentage of your pay as you earn it 31 days of holiday (including bank holidays, pro rata for part time colleagues) Virtual healthcare services for you and your family, including access to GP appointments, eye care, mental health support, and nutrition and fitness consultations 24/7 employee assistance service Full, paid training and dedicated support for your personal development and career progression Rotas shared three weeks in advance and accessible on your phone Cycle-to-work scheme Building an inclusive workplace We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take around 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
May 04, 2026
Full time
Closing date: 06-05-2026 Customer Team Member Location: Ryedale Court Haxby, York, YO32 3SA Pay: £13.04 per hour Contract: 12 hours per week + regular overtime, permanent contract, part time Working pattern: A mix of opening, closing, and mid day shifts, with flexibility across the week including at least 2 evening shifts and 1 weekend shift. Either, Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. Full, paid training provided You can apply for this role using your mobile device (no CV needed!) We're looking for Customer Team Members to join our team at Co-op. When you join Co-op, you'll get amazing benefits including 31 days holiday, a pension with up to 10% Co-op contribution, access to virtual healthcare services for you and your family, and a 30% discount on all Co-op products in our stores. As a Customer Team Member, you'll be part of a friendly team that's dedicated to helping our customers. We'll look to you to provide them with great service on the tills and the shop floor, while also performing a wide range of other tasks around the store like re-stocking shelves and cleaning up spillages. At Co-op, we do things a different way. For over 175 years we've focused on making things fairer for our members and their communities, and as a colleague we promise to take care of you. You'll get support for your physical, mental, and financial wellbeing, as well as market leading policies to help you through life events from bereavement and pregnancy loss to fertility treatment and menopause. What you'll do Friendly and thoughtful service - you'll put customers first in everything you do: responding to queries, championing Co-op products and Membership, and doing all you can to deliver a great shopping experience Work together to make everyone's day better - supporting your store colleagues to solve problems for customers and members Make sure the store safe and legal - keep the shelves stocked and make sure prices, dates, and temperatures are all as they should be Help introduce new products and services - make changes feel natural, sharing experiences with your colleagues so everyone learns together Support your local community - get involved in all kinds of activities and events! This job would suit people who have A genuine care for the needs of customers and members Great people skills, with the ability to build positive relationships with customers and colleagues A positive approach to change and problem solving The flexibility to work a range of different shifts Why Co-op? 30% discount on all Co-op products in-store plus 10% discounts on all other brands A pension scheme with up to 10% employer contributions Stream- a money management app giving you access to a percentage of your pay as you earn it 31 days of holiday (including bank holidays, pro rata for part time colleagues) Virtual healthcare services for you and your family, including access to GP appointments, eye care, mental health support, and nutrition and fitness consultations 24/7 employee assistance service Full, paid training and dedicated support for your personal development and career progression Rotas shared three weeks in advance and accessible on your phone Cycle-to-work scheme Building an inclusive workplace We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take around 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
Office Manager West Suffolk Full time on site Tuddenham (Full-Time, Fixed Term to June 2027) PAYE (weekly pay) We re looking for a confident and hands-on Office Manager to take ownership of a busy, site-based office in Tuddenham. This role is ideal for someone who enjoys variety, takes pride in keeping things running smoothly, and can lead a small team while staying on top of the detail. This is not a desk-only admin job you ll be at the centre of the site s day-to-day operations, making sure everything from people and processes to facilities and compliance is working as it should. What you ll be doing: Keeping the office running efficiently day-to-day, from supplies and systems to site facilities and cabins Leading and supporting the admin team, setting standards and ensuring work is completed accurately and on time Managing site inductions and onboarding processes for new starters Acting as a key point of contact for reporting, documentation, and general office coordination Overseeing cleaning services and maintaining a safe, organised working environment Handling purchase orders, invoices, and cost reporting, resolving any issues that arise Supporting audits and ensuring the site meets internal and external compliance requirements Playing an active role in initiatives around wellbeing, health, and community engagement Coordinating communications such as newsletters, meetings, and stakeholder updates Managing feedback systems including complaints and compliments Carrying out performance reviews for your team What we re looking for: Previous experience in an office management or senior administrative role Strong organisational skills with the ability to juggle multiple priorities Comfortable supervising others and taking the lead when needed Confident communicator with a proactive, problem-solving mindset Good working knowledge of Microsoft Office and general systems Someone who s practical, reliable, and happy working in a site-based environment If you are a motivated individual looking for a dynamic and rewarding role within a supportive team, we would love to hear from you. Please email me on (phone number removed) or email me on (url removed) Ganymede is committed to creating a diverse workforce and is an equal opportunities employer. We welcome applications from all suitably qualified persons regardless of age, disability, gender, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation
May 04, 2026
Contractor
Office Manager West Suffolk Full time on site Tuddenham (Full-Time, Fixed Term to June 2027) PAYE (weekly pay) We re looking for a confident and hands-on Office Manager to take ownership of a busy, site-based office in Tuddenham. This role is ideal for someone who enjoys variety, takes pride in keeping things running smoothly, and can lead a small team while staying on top of the detail. This is not a desk-only admin job you ll be at the centre of the site s day-to-day operations, making sure everything from people and processes to facilities and compliance is working as it should. What you ll be doing: Keeping the office running efficiently day-to-day, from supplies and systems to site facilities and cabins Leading and supporting the admin team, setting standards and ensuring work is completed accurately and on time Managing site inductions and onboarding processes for new starters Acting as a key point of contact for reporting, documentation, and general office coordination Overseeing cleaning services and maintaining a safe, organised working environment Handling purchase orders, invoices, and cost reporting, resolving any issues that arise Supporting audits and ensuring the site meets internal and external compliance requirements Playing an active role in initiatives around wellbeing, health, and community engagement Coordinating communications such as newsletters, meetings, and stakeholder updates Managing feedback systems including complaints and compliments Carrying out performance reviews for your team What we re looking for: Previous experience in an office management or senior administrative role Strong organisational skills with the ability to juggle multiple priorities Comfortable supervising others and taking the lead when needed Confident communicator with a proactive, problem-solving mindset Good working knowledge of Microsoft Office and general systems Someone who s practical, reliable, and happy working in a site-based environment If you are a motivated individual looking for a dynamic and rewarding role within a supportive team, we would love to hear from you. Please email me on (phone number removed) or email me on (url removed) Ganymede is committed to creating a diverse workforce and is an equal opportunities employer. We welcome applications from all suitably qualified persons regardless of age, disability, gender, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation
