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Innova Search is recruiting for a Head of Engineering to join a prestigious, Tier-1 heavy engineering and defence partner with a multi-century heritage in British engineering. This is a rare opportunity to take a high-profile leadership seat within a dedicated team responsible for a critical, long-term programme. In this role, you will serve as the primary technical interface for the customer. You will be responsible for the entire engineering lifecycle of complex mechanical systems, from initial concept and design through to manufacturing, installation, and final commissioning. The Role You will lead a multi-disciplined team to ensure the accurate execution of engineering deliverables. You will be the technical guardian of the programme, ensuring that all systems are delivered "right first time" within a highly regulated, gated design environment. Key Responsibilities: Strategic Technical Leadership: Develop and execute engineering strategies across Design, Manufacturing, and Test, ensuring alignment with overarching programme milestones. Design Authority: Act as the senior point of contact for all technical activities, overseeing the delivery of high-quality data packs, installation instructions, and maintenance manuals. Operational Excellence: Drive productivity through strategic decision-making, including the optimisation of test facilities and the management of complex supply chain interfaces. Risk Management: Identify and mitigate technical risks, ensuring all work packages pass through rigorous engineering gated hold points before progression. Team Development: Build and mentor a high-performing engineering culture, championing continuous improvement (CI) and professional development across your team. Your Profile You are an assertive, data-driven leader who thrives in fast-paced, high-stakes environments. You must be able to balance technical rigour with commercial and programme requirements. Qualifications: A degree in a relevant Engineering discipline is essential. Chartered Engineer (CEng) status is highly preferred. Experience: Proven leadership experience within a large-scale design and manufacture entity, preferably within heavy engineering, or highly regulated sectors. Technical Knowledge: A strong background in complex mechanical systems integration, structural analysis, and the application of stringent industry standards. Leadership: Exceptional communication skills with the ability to influence stakeholders at all levels-from the shop floor to the boardroom. Process Driven: Familiarity with gated design processes, risk management, and problem-solving methodologies (e.g., 8D, DMAIC). Security & Compliance Due to the sensitive nature of this programme, this position is subject to strict security and export control restrictions. Security Clearance: Candidates must be able to achieve and maintain the required UK security clearance levels. Eligibility: Your nationality, place of birth, and any dual citizenships held will be verified as part of the vetting process, as they may impact your suitability for this specific programme. Right to Work: All applicants must have the permanent right to work in the UK.

Innova Search is recruiting for a Head of Engineering to join a prestigious, Tier-1 heavy engineering and defence partner with a multi-century heritage in British engineering. This is a rare opportunity to take a high-profile leadership seat within a dedicated team responsible for a critical, long-term programme. In this role, you will serve as the primary technical interface for the customer. You will be responsible for the entire engineering lifecycle of complex mechanical systems, from initial concept and design through to manufacturing, installation, and final commissioning. The business are based in the Manchester area. Relocation would be required (relocation package included). The Role You will lead a multi-disciplined team to ensure the accurate execution of engineering deliverables. You will be the technical guardian of the programme, ensuring that all systems are delivered "right first time" within a highly regulated, gated design environment. Key Responsibilities: Strategic Technical Leadership: Develop and execute engineering strategies across Design, Manufacturing, and Test, ensuring alignment with overarching programme milestones. Design Authority: Act as the senior point of contact for all technical activities, overseeing the delivery of high-quality data packs, installation instructions, and maintenance manuals. Operational Excellence: Drive productivity through strategic decision-making, including the optimisation of test facilities and the management of complex supply chain interfaces. Risk Management: Identify and mitigate technical risks, ensuring all work packages pass through rigorous engineering gated hold points before progression. Team Development: Build and mentor a high-performing engineering culture, championing continuous improvement (CI) and professional development across your team. Your Profile You are an assertive, data-driven leader who thrives in fast-paced, high-stakes environments. You must be able to balance technical rigour with commercial and programme requirements. Qualifications: A degree in a relevant Engineering discipline is essential. Chartered Engineer (CEng) status is highly preferred. Experience: Proven leadership experience within a large-scale design and manufacture entity, preferably within heavy engineering, or highly regulated sectors. Technical Knowledge: A strong background in complex mechanical systems integration, structural analysis, and the application of stringent industry standards. Leadership: Exceptional communication skills with the ability to influence stakeholders at all levels-from the shop floor to the boardroom. Process Driven: Familiarity with gated design processes, risk management, and problem-solving methodologies (e.g., 8D, DMAIC). Security & Compliance Due to the sensitive nature of this programme, this position is subject to strict security and export control restrictions. Security Clearance: Candidates must be able to achieve and maintain the required UK security clearance levels. Eligibility: Your nationality, place of birth, and any dual citizenships held will be verified as part of the vetting process, as they may impact your suitability for this specific programme. Right to Work: All applicants must have the permanent right to work in the UK.

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 Introduction We are currently recruiting for a Trainee IT Support Technician to join our busy IT Department at our Head Office in Stratford-upon-Avon. Working hours are 8:30 am to 5:30 pm, Monday through Friday, with a one-hour lunch break. Basic salary of £26,500 plus benefits. Role and Responsibilities Setting up user logins for in house systems and creating ID cards for new staff Closing 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.

We re growing - and on the hunt for an organised and confident Apprentice Recruitment Administrator to join our expanding team in Chester . If you're confident, organised and calm under pressure, this is your opportunity to join a forward-thinking agency that genuinely invests in its people and their progression. Job Details: Pay: £16,320 to £22,134 per annum Hours of Work: Monday to Friday, 8:00 AM to 5:30 PM + every 2nd Friday off Duration: Permanent Benefits: 19 days holiday + bank holidays, increasing annually after 2 years service. Birthday off, bespoke training courses, in-house personal development, healthcare & employee wellbeing schemes, Perkbox, Cycle2Work, and a growing social calendar. Job Role: As an Apprentice Recruitment Administrator , you will join our busy head office team supporting the onboarding process for candidates. You will be responsible for issuing online onboarding documentation, including right-to-work checks, and ensuring all returned paperwork is accurately reviewed and fully compliant. You will also spend time on the phone guiding candidates through onboarding forms, answering questions, and ensuring a positive, professional experience throughout the process. Essential Skills, Experience, or Qualifications: A valid UK driving licence English and Maths at grade C/4 or above Strong multitasking, communication, and problem-solving skills Excellent IT skills and high attention to detail when recording data Ability to work to deadlines in a fast-paced setting Advantageous Skills, Experience, or Qualifications Previous administration or office-based experience An interest in recruitment or HR environments Commutable From: Chester, Deeside, Wirral, Wrexham, Rhyl, Flint, Crewe, Nantwich Similar Job Titles: Administrator, Recruitment Administrator, Branch Administrator, Recruitment Support, Trainee Recruitment Consultant, Apprentice Recruitment Administrator For further information about this Apprentice Recruitment Administrator position and other positions please apply now. This vacancy is being advertised on behalf of Recruit4staff who are operating as a recruitment agency, agent, agencies, employment agency or employment business.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.

Head of Technology (Data, AI & Engineering) Location: Bath (on-site 2/3 days a month) Salary: Up to 130,000 (depending on experience) plus benefits About the company They are a science-focused organisation that supports the global scientific community through specialist platforms and services 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.

The role - Client Services Administrator Salary - 26-28k per annum Location - Glasgow City Centre (Hybrid-Working) Hours - 9.00-17.00 - Monday to Friday The Role We're recruiting a proactive Client Services Administrator to support a key client as an extension of their Learning & Development (L&D) team. This is a fast-paced, client-facing role focused on coordination, advice, and delivery. Reporting into the Head of the Contracts Team, you'll manage day-to-day client activity, handle incoming requests, and support delegates and suppliers throughout the training process. This is a varied role where no two days are the same, and priorities can change quickly. Key Responsibilities Act as the day-to-day point of contact for key clients, managing a steady inflow of requests Support the client's L&D function by advising on professional development options and available training solutions Liaise with training suppliers and internal academies to source appropriate courses Manage delegate requests, bookings, and queries from start to finish Work with budgets, going out to market to identify suitable and cost-effective learning solutions Process exams and support associated training administration Join regular Microsoft Teams calls and discussions with clients Confidently manage expectations and timelines with clients when needed Prioritise workload effectively in a fast-moving environment where work can be unpredictable About the Team You'll be joining a stable, experienced team with very low staff turnover - some team members have been together for over eight years. The role will suit someone who is self-sufficient, proactive, and able to hit the ground running once trained. About You We're looking for someone with strong customer service or coordination experience, who enjoys building rapport and solving problems. You'll ideally have: Experience in a client service, sales administration, training coordination, or a similar role Confidence communicating via Microsoft Teams calls and over the phone A professional but personable manner and the ability to explain processes clearly Strong organisational and prioritisation skills The confidence to hold your position with clients when required (no sales negotiation involved) Patience, resilience, and a solutions-focused mindset Experience working with customers and suppliers The ability to think on your feet and adapt to changing demands Why Join? This is an interesting and challenging role where personality and team fit really matter. You'll be trusted to manage your workload, build strong client relationships, and make a real impact within a well-established and respected team. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.

IN HOUSE EMPLOYMENT LAWYER - TRADE UNION LONDON £63,000 BASIC SALARY 13 MONTH FIXED TERM CONTRACT Role Overview: Morgan Philips Specialist Recruitment is presently supporting a United Kingdom trade union which represents professionals and specialist workers in both the public and private sectors in their search for an In-House Employment Lawyer to join their team on a 13-month fixed term contract. Our client is seeking a qualified Solicitor to provide specialist advice and representation on employment law and provide representation in employment tribunal cases. This role is offered on a fixed term basis due to maternity leave within the team. The successful candidate will report to the General Counsel and Head of Legal. They will advise officers, representatives and the wider membership on complex legal issues, relating to individual and collective employment law; run employment tribunal cases; contribute to policy development and develop and deliver training. Key Accountabilities: Advising full time officers, branch representatives and the wider membership on legal issues. Conducting legal research and providing specialist analysis on bargaining, campaigning and policy issues Running employment tribunal and employment appeal tribunal cases Developing expertise in employment law through attending relevant conferences and training courses Developing and delivering training to full time officers, branch representatives and the wider membership on employment law Responding to consultation documents and legislative proposals produced by Government/statutory and trade union bodies About You: Qualified solicitor - at least 3 years' PQE Specialist knowledge of employment law and the tribunal process Experience of advising on complex employment law matters. Experience of handling Employment Tribunal cases. Experience of working proactively, self-managing time and workload. Experience of resolving case work. Experience of working with a range of stakeholders. Understanding of trade unions and industrial relations (desirable) Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group is a global talent solutions business that disrupts conventional thinking in executive search, recruitment and talent consulting. We operate in over 18 markets in Europe, North & South America, Asia, and the Middle East & Africa. We understand that the future is digital and social, so we embrace the latest technology, including video ads and CVs, as well as social recruiting. Our innovative services are tailored to the new world of work yet we do not lose sight of the fact that employees be they existing and potential are ultimately human beings. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

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 Description: Territory: Northern England & Scotland £39,000 - £40,000 base salary plus bonus up to £7,000-£15,000 + Company car & Exceptional Benefits Mon -Fri 37.5 Hrs per week Why Join Us? At Royal Canin, we are passionate about making a better world for pets. We are a global leader in pet health nutrition, and our belief in the importance of science-based, tailored nutrition is at the heart of everything we do. We are looking for a driven and dynamic Digital Services Business Manager to join our Pet Professional team and help us transform the future of pet health. If you are ready to take on a challenging and rewarding role and have a genuine passion for improving the lives of pets through technology, we would love to hear from you. The Role This is a field based role with a large and varied territory covering Northern England and Scotland. The area spans the Northeast, Yorkshire & the Humber, and parts of the Northwest, extending across Scotland including the Central Belt, Borders, Highlands and Islands. We are seeking a Digital Services Business Manager (DSBM) to spearhead the growth and adoption of our innovative digital recommendation services within the veterinary community. In this pivotal role, you will be responsible for recruiting veterinary clinics to our digital platforms, driving product recommendations, and ensuring our partners are engaged and proficient with Royal Canin's digital tools. You will be a key driver in building collaborative, long-lasting relationships with veterinary clinics and hospitals, acting as the primary point of contact for our digital services. This is a fantastic opportunity to make a significant impact on pet health by bridging the gap between digital innovation and clinical practice. Exciting opportunities to engage with pet professionals and enthusiasts at 2-3 key industry events per year (some weekend work involved) What's in it for you? This is a key role within a collaborative and forward-thinking team, offering the chance to be at the forefront of digital transformation in the pet health sector. You will be instrumental in driving a strategy that follows the pet owner's journey and strengthens clinical recommendations for Royal Canin's nutritional solutions. 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 What We're Looking For Proactive and results-driven individual with a passion for digital technology and the veterinary industry. Professional qualification in IT, science, or a related field. Knowledge and experience working with digital systems. Strong planning and problem-solving abilities, with a customer-focused mindset. Skills: Strong presentation, communication and IT skills (proficient in Microsoft Word, Excel, PowerPoint etc.) to support effective sales analysis and management of the territory Driver's License: A clean driving record is required. Desirable experience: Proven track record in sales or account management. In-depth knowledge or direct experience of the veterinary industry. Key Responsibilities Identify and prospect new business opportunities to expand our digital footprint. Drive the recruitment of veterinary clinics to our digital recommendation service and increase the use of our digital platforms. Educate and train veterinary staff on the functionality and benefits of our digital systems to ensure continued engagement and success. Effectively manage a territory of up to 750 accounts, including independent and corporate veterinary clinics, hospitals, and charities. Collaborate closely with internal teams, including Veterinary Business Managers, Marketing, and Key Accounts, to deliver a seamless customer experience and achieve business objectives. Represent Royal Canin at trade shows, seminars, and conferences, acting as a brand ambassador. Gather and report on market intelligence, including competitor activity and customer feedback, to help shape our strategy. 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

Job Description: Territory: Northern England & Scotland £39,000 - £40,000 base salary plus bonus up to £7,000-£15,000 + Company car & Exceptional Benefits Mon -Fri 37.5 Hrs per week Why Join Us? At Royal Canin, we are passionate about making a better world for pets. We are a global leader in pet health nutrition, and our belief in the importance of science-based, tailored nutrition is at the heart of everything we do. We are looking for a driven and dynamic Digital Services Business Manager to join our Pet Professional team and help us transform the future of pet health. If you are ready to take on a challenging and rewarding role and have a genuine passion for improving the lives of pets through technology, we would love to hear from you. The Role This is a field based role with a large and varied territory covering Northern England and Scotland. The area spans the Northeast, Yorkshire & the Humber, and parts of the Northwest, extending across Scotland including the Central Belt, Borders, Highlands and Islands. We are seeking a Digital Services Business Manager (DSBM) to spearhead the growth and adoption of our innovative digital recommendation services within the veterinary community. In this pivotal role, you will be responsible for recruiting veterinary clinics to our digital platforms, driving product recommendations, and ensuring our partners are engaged and proficient with Royal Canin's digital tools. You will be a key driver in building collaborative, long-lasting relationships with veterinary clinics and hospitals, acting as the primary point of contact for our digital services. This is a fantastic opportunity to make a significant impact on pet health by bridging the gap between digital innovation and clinical practice. Exciting opportunities to engage with pet professionals and enthusiasts at 2-3 key industry events per year (some weekend work involved) What's in it for you? This is a key role within a collaborative and forward-thinking team, offering the chance to be at the forefront of digital transformation in the pet health sector. You will be instrumental in driving a strategy that follows the pet owner's journey and strengthens clinical recommendations for Royal Canin's nutritional solutions. 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 What We're Looking For Proactive and results-driven individual with a passion for digital technology and the veterinary industry. Professional qualification in IT, science, or a related field. Knowledge and experience working with digital systems. Strong planning and problem-solving abilities, with a customer-focused mindset. Skills: Strong presentation, communication and IT skills (proficient in Microsoft Word, Excel, PowerPoint etc.) to support effective sales analysis and management of the territory Driver's License: A clean driving record is required. Desirable experience: Proven track record in sales or account management. In-depth knowledge or direct experience of the veterinary industry. Key Responsibilities Identify and prospect new business opportunities to expand our digital footprint. Drive the recruitment of veterinary clinics to our digital recommendation service and increase the use of our digital platforms. Educate and train veterinary staff on the functionality and benefits of our digital systems to ensure continued engagement and success. Effectively manage a territory of up to 750 accounts, including independent and corporate veterinary clinics, hospitals, and charities. Collaborate closely with internal teams, including Veterinary Business Managers, Marketing, and Key Accounts, to deliver a seamless customer experience and achieve business objectives. Represent Royal Canin at trade shows, seminars, and conferences, acting as a brand ambassador. Gather and report on market intelligence, including competitor activity and customer feedback, to help shape our strategy. 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

Personal Assistant to CEO Poole £40,000 We re supporting a high-growth, innovative British business in the search for an exceptional Personal Assistant to the CEO . With rapid international expansion, this is a unique opportunity to join a forward-thinking organisation at a pivotal stage of its journey. This role is ideal for a highly organised, discreet, and proactive individual who thrives in a fast-paced environment and enjoys supporting both professional and personal priorities at senior level. The Role A varied and fast-moving position where no two days are the same. You ll be responsible for ensuring the CEO s business and personal life runs smoothly and efficiently. Key Responsibilities Administrative & Personal Support Manage and respond to correspondence (email, phone, post) Coordinate reminders, tasks, and key deadlines Prepare expense reports and maintain organised filing systems Liaise with internal teams and external contacts Run errands and manage personal shopping (gifts, returns, dry cleaning, etc.) Diary & Schedule Management Coordinate a busy and ever-changing calendar Ensure the CEO is fully prepared for meetings and commitments Travel Coordination Arrange seamless travel itineraries (flights, accommodation, transport, activities) Household Management Oversee household bills and administration Coordinate property maintenance, renovations, and contractors Manage relationships with household staff Vehicle Management Handle documentation, servicing, MOT, tax, and general upkeep Family & Lifestyle Support Coordinate schedules and activities Book clubs, events, and organise children s parties About You You re highly organised, proactive, and always one step ahead. You bring a calm, solutions-focused approach and can confidently manage multiple priorities. Exceptional attention to detail Strong organisational and multitasking skills Confident communicator with excellent interpersonal skills Discreet, trustworthy, and professional Flexible and adaptable Proficient in Microsoft Office (Word, Excel, Outlook) What s on Offer Competitive salary 33 days holiday (including bank holidays), increasing with service Generous staff discount Employee Assistance Programme Health cash plan Life assurance Long service rewards Cycle to Work scheme Pension contributions A relaxed, energetic working environment with a strong passion for fitness and performance Apply Now If you re looking for a role where you can make a real impact, work closely with senior leadership, and be part of an ambitious growth story, we d love to hear from you. Please contact Ellie at Rubicon for more information.