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14 week temporary customer service jobs in Birchwood! £12.58ph + holiday pay! Full time - start Friday 23rdJan Your new company I am currently working with a leading client who is looking for a number of experienced Customer Service Advisors to join the organisation at their Head Office on a temporary basis of 14 weeks. Your new role You will be joining the domestic service team and will be responsible for delivering exceptional, consistent service to customers whilst maximising upselling opportunities. Through building rapport, you will ensure you maintain the relationships of the customer base whilst handling inbound calls. You will also have inbound communication using other channels, including email and webchat. You will be expected to deliver outstanding customer service whilst placing orders via the phone for the customer base. You will be answering on average 60–100 calls per day! What you'll need to succeed To be considered for this role, you must have proven previous experience within a customer service position, contact centre is highly desirable. You will be confident, motivated and proactive and be able to build an appropriate rapport with customers. Target-driven and resilient individuals will thrive in this position, and you must be able to handle customer interactions assertively, and with empathy. What you'll get in return This is a long term temporary role based in the company's Head Office in Warrington, offering a competitive hourly rate. Full-time, Monday – Friday between 8am and 5pm, with 2 in 4 Saturdays on reduced hours but earning time and a half! Access to free on site parking is available. Starting from January 23rd 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. 4761947

IT Support About the roleAs an IT Support Engineer with expertise in IT Domain, you will collaborate with our client’s team. You will be responsible for IT Technical support management. Job DetailsYou will be joining a company at the forefront of the IT industry with their Head Office in Hatfield as a Technical Operative 1. You will receive excellent perks such as free parking and a subsidised canteen. As a global company with local expertise, you will be part of a fast-paced and flexible environment where no two days are the same. In this mentored role, you will receive high-class training from a global IT service provider, allowing you to develop and grow your career. This is a big opportunity, with a family-felt work environment, with you at the centre. Roles and Responsibilities:Our client supports companies on their journey to digital transformation. They deliver digital technology to some of the world’s greatest organisations. They deliver full lifecycle maintenance services and on-site technical expertise covering a wide array of technology from workplace to network infrastructure and everything in between. They put productivity, operational efficiency, customer excellence and quality at the heart of everything they do. Their technology-enabled mobilised teams provide high quality, scalable expertise, and support across a wide range of customers in UK. They are a company where people matter. They are diverse, flexible, and open. We are looking to recruit a Technical Operative 1 in the Configuration dept for our growing team that will provide effective and efficient support to our clients. They will be required to provide basic to intermediate level IT configuration services and will need to be competent at component level whilst being self-sufficient to manage their workload within timely parameters. • Typically, a Technical Operative 1 will provide software installations and configuration in an existing IT infrastructure or pre-designed project and will be familiar with current Microsoft desktop Operating Systems., • Bespoke System work. In house systems (Training Given), • Building (Software) various systems using detailed scripts – training provided on scripts and much be followed as a breach can result in escalation., • Effective Upline Reporting – This is where the candidate needs to have strong and effective communication skills, has the ability to communicate with varying levels of stakeholders., • Data input. – 25-50% of this role is data input, all on spreadsheets, so input is manual, attention to detail is key here., • Consolidating consignments for distribution., • Each worker has their own assignments, but they need to be aware of how their assignment contributes to the entire order and work effectively. Again, communication is key here because if they are running either behind or ahead of schedule, the worker need to communicate with supervisors/TLs to decide on appropriate actions., • Pallet Movement / Work Planning, • Ability to work to driven targets and SLA and time management skills., • Good written and verbal communication skills., • IT background, • Data input experience is essential, • Flexibility to react to demand on short notice., • Proactive whilst being a team player, • Ability to work to driven targets and SLA and time management skills., • Knowledge of I.T componentry.

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

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

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

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & 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.

About Us: Mitsubishi Electric is a global innovator in energy, automation and building technologies. From air conditioning and lifts to robotics and power systems that power homes and businesses across the UK. With 150,000 employees worldwide and 850 in the UK, we’re creating “Changes for the Better.” Join us to make a real impact for a smarter, sustainable future. Want to know more about the company? Take a look here: ___ Role summary: The Applied Engineer delivers services directly to the customer, working on a variety of equipment located at sites across a specific region. As the face of Mitsubishi Electric excellent customer service in conjunction with top quality engineering and problem-solving skills are essential. Applied Engineers report to the Regional Service Manager and will work closely with Service Supervisors, Service Coordinators & the Quality/Warranty Manager to ensure that an efficient and profitable service is delivered. Applied Engineers will carry out a variety of activities on customer sites including planned preventative maintenance (PPM), quoted works, commissioning and emergency callouts, these activities will not be restricted to Mitsubishi Electric or Climaveneta branded equipment meaning that a thorough understanding of all major brands/types of chiller, heat pumps and air conditioning equipment technology will be required. Skills/Responsibilities: • To attend and complete planned site visits and resolve customer issues., • Focus on troubleshooting and repair within set timeframe and according to defined process, service agreements and customer needs., • To provide ‘on site’ advice to the customer related to technical installation and/or service issues., • To document all findings from the visit including the nature of the work carried out, the time taken to complete and any recommendations., • This information will be captured electronically in real time meaning it is instantly submitted to the regional service office to enhance efficiency and customer service., • To assist the Regional Service Manager to develop positive customer relationships and to identify any remedial works required., • Where relevant to act as a technical ‘on the job’ coach for less experienced service team members., • Diagnose and repair system malfunctions requiring specific technical knowledge and relevant qualifications., • To build and maintain a good working relationship with the regional Service Coordinators and to understand their challenges and requirements., • Seek clarification and technical support where needed and escalate issues as appropriate., • To commission and start-up systems in line with defined regulations, standards and processes., • Understand and analyse relevant technical documents (electrical, hydronic, piping, psychometric) and to practically apply this information to resolve the issues encountered on site., • Always working to a high level of customer service, ensuring that the customer is informed upon arrival and before leaving the site and that they receive any necessary updates as the job progresses. Experience Required: • Minimum C&G Level 2 Certificate in Small Commercial Refrigeration and Air Con Systems., • C&G Award in F-Gas & ODS Regulations: Category 1 (C&G2079-11), • IOSH, or equivalent, safety qualification., • Industry time served qualification., • Competent in water chillers and heat pumps, remedial work and commissioning., • Fault finding and diagnostic skills., • Good communication skills (written and verbal)., • Good client engineering interface experience specifically around Water Chillers / Heatpump service, maintenance and commissioning., • IT literate with product engineering software and Microsoft packages – Outlook, Excel, Word., • Competent as working alone or as part of a team., • Ability to work under pressure and use own initiative., • Personal attributes: self-motivated, driven, numerate, organised, punctual, assertive, professional, personable, and resourceful. In return for your commitment, we will offer you some fantastic benefits: • Generous annual leave allowance - 25 days per year, plus bank holidays increasing by one day with each year of service until 27 days per year, • Pension, • Life Assurance, • Private Medical, Dental Insurance and a Cash Plan Scheme – Single cover funded by Mitsubishi, • Access to Mitsubishi’s very own discount platform, • Colleague Referral Scheme, • Holiday Buy, • Long Service Awards, • Cycle to Work Scheme, • Sports & Social Club (Recent events such as theatre trips, Ascot, Paintball, The Darts), • Employee Assistance Programme including additional services Eldercare & Best Doctors Equality and Diversity: As the business environment around Mitsubishi Electric Group is rapidly changing, providing a workplace where employees can work to their full potential regardless of gender or age is essential to business development.

Senior Quantity Surveyor Galldris Group Location: Radlett, Hertfordshire An exciting opportunity has arisen for a Senior Quantity Surveyor to join our team in Hertfordshire. To be considered, you will come from a Construction or Civil Engineering background. The Senior Quantity Surveyor will be responsible for administering the JCT Design & Build Contract in a professional and timely manner and the financial delivery of the Contract, including the control of cost and cash, and ensuring it is procured and delivered within budget. Management and leadership of trainees. Key Accountabilities to include but not limited to: • Achieve or exceed budgeted targets by looking for V/E opportunities, alternative methods of completing the works, and buying gains from S/C Procurement, • Ensure external valuations are submitted in accordance with the conditions of the main contract and that payments are received by the due date, taking full responsibility for the contract’s cash position, • Complete monthly CVR reports, ensuring they accurately reflect current position on-site and final profit projection, • Administer the main contract (and subcontract) conditions and identify and prepare timely contractual notices for all events, • Price and agree on all contract variations, in a timely manner whilst maximising our entitlement, • Understand bid and demonstrate a good working knowledge of contract at the Preconstruction Stage, • Procure supply chain orders in a timely manner that accurately reflects the scope works and administer same, accurately valuing, certifying, and issuing relevant payment notices, • Accurately re-measure works in accordance with the method of measurement and in a timely manner, whilst maximising our entitlement, • Achieve timely final account agreement on client and supply chain accounts, whilst maintaining strong working relationships, • Lead and manage trainee/junior surveyors, • Undertaking other duties as reasonably required from time to time by the line manager, • Comply with Company procedures Experience/Knowledge: • Experienced, skilled, qualified, and knowledgeable Senior Quantity Surveyor, • Experience in NEC & JCT form of contracts, • Proven ability to deliver a wide range of technically challenging projects to meet and exceed client expectations, • Experience in successfully implementing plans/projects on time and within budget, • Ability to effectively plan and manage budgets and resources, • Evidence of high levels of customer service and satisfaction, • Experience in successfully managing performance and providing constructive feedback, • A thorough working knowledge of current building legislation, • Demonstrates good understanding of the political structure and role of elected members, • Ability to work collaboratively both with own service and across other services Qualifications: • Degree in Quantity Surveying or similar technical qualification (HND HNC), • Working towards professional qualification status (MCIOB/MRICS) (desirable) Skills: • IT literate, • Excellent communication skills both verbal and written, • Ability to deal with clients & internal staff, • Ability to work on own initiative, • Excellent organisational and planning skills, • Management and leadership Interested applicants must be eligible to work legally in the UK. Should you feel you have what it takes to be successful in this role then we would love to hear from you. Employee referral scheme - refer a friend or family member to work for Galldris. Galldris is an Equal Opportunities employer and does not discriminate against any protected characteristic. Please note: We are not using recruitment agencies for this role. In the event of speculative CV submissions, no fees will be applicable.

Founded in 1875, the Nicholls and Clarke Group has grown to become the UK’s largest national manufacturer and distributor of fine-quality sanitary ware, ceramic and porcelain tiles, Nicobond tile adhesives, grouting compounds, architectural ironmongery, and general hardware. Being field based, you will not be situated in an office, although you will have a main distribution centre that will support you and help you grow your sales. This Sales Representative role involves managing our customers in Northwest & Southwest London selling them our extensive range of high-quality light side building products. Part of the role is also to find and bring on new customers which will attract additional bonuses. Please note that this field-based sales role is in Enfield/ North London/ Northwest London & parts of Southwest London and West London postcodes. Role responsibilities for the Sales Representative • Manage your allocated region manage and grow sales with our existing customer base as well as bring on new customers, • Visiting clients at the office and site level, • Ensuring business continues to grow, • Maintaining a sense of enthusiasm and commitment, • Providing consistent, excellent customer service What will you sell and to whom? • You will be selling domestic and commercial sanitaryware, • Our Phlexicare range offers independent living products including level access and wetroom showering products., • Ceramic and porcelain tiles, Nicobond adhesives, grouting compounds and screeds, tiling systems, and wet rooms., • Decorating products including paint and decorating sundries, • Architectural ironmongery and general hardware, • Our customer base includes Building Contractors, Maintenance Companies, Disabled Adaptation specialists, Regional House Developers, Housing Associations, and Local Authorities. Requirements for the Sales Representative: • Previous experience within a similar field-based sales role, • Prior experience within the construction industry preferred commitment to excellent customer service, • Friendly, engaging, and approachable, • Happy to travel daily to client sites, • Passionate about bringing in new business, • Excellent communication and interpersonal skills, • Target driven, • A professional and positive approach, • Good team player, • Attention to detail Benefits: • Comprehensive Induction training, • Ongoing training that focuses on the features, benefits, and installation of our products and how best to sell them, • Competitive salary package, • Uncapped Quarterly Bonus and Annual Bonus Schemes, • Company car, • Mobile and laptop, • Company Pension Scheme, • Private Healthcare Insurance, • Holiday entitlement, • UK based company, • High employee retention If you would like to be considered for this exciting opportunity, please email a copy of your CV to: Please include the job vacancy you would like to apply for within the email's subject line. Join Our Team and become a part of the Nicholls & Clarke Family.

Business Development Manager – Fine Dining & Fresh Produce Hybrid – Waltham Cross office 1–2 days per week, client-facing and remote the rest of the week £50,000 basic + £10,000 performance-based bonus On behalf of a long-standing client in the premium fresh produce industry, we’re looking to appoint a Commercial Development Manager to help drive new revenue within London’s high-end hospitality sector. This is a key commercial hire, following a team restructure, with the goal of bringing in someone who truly understands the food scene and how to speak the language of chefs and restaurateurs. This role would suit someone with a background in fine dining or hospitality — such as an ex-chef, restaurant manager, or someone who has previously worked in sales within the food industry — and who is now ready to take ownership of new business generation in a fast-paced, growing business. What You’ll Be Doing: • Identifying, targeting, and winning new business across the London restaurant and hospitality market, • Building and maintaining long-term relationships with chefs, GMs, and food buyers, • Hosting tastings, attending site visits, and confidently presenting products to prospective clients, • Collaborating closely with internal teams (customer service, buying, operations) to ensure smooth onboarding and service delivery, • Managing your own pipeline and working towards agreed revenue and margin targets, • Acting as a brand ambassador with a genuine passion for quality, produce, and food culture Who We’re Looking For: • Someone who has worked as a chef, restaurant manager, or in a senior FOH position within fine dining or premium hospitality, • A commercially aware individual with a natural flair for building relationships, • Ideally, someone who has already made a first step into a sales, account management, or commercial role – but we’ll also consider strong hospitality professionals looking to transition, • Confident, driven, and able to work independently to build a patch from the ground up, • Passionate about seasonal produce, restaurant culture, and delivering quality The Package & Working Model: • £50,000 basic salary + £10,000 performance bonus, • Hybrid model: 1–2 days in Waltham Cross HQ, rest of the time remote or in the field, • Supportive commercial manager and wider operations team, • Flat structure – no red tape, high trust environment, • Excellent opportunity to grow with the business If you’re ready to bring your hospitality background into a commercial role where your industry knowledge is valued and your ideas are heard, we’d love to speak with you. Apply now or contact me directly to find out more at

About Us: Mitsubishi Electric is a global innovator in energy, automation and building technologies. From air conditioning and lifts to robotics and power systems that power homes and businesses across the UK. With 150,000 employees worldwide and 850 in the UK, we’re creating “Changes for the Better.” Join us to make a real impact for a smarter, sustainable future. Want to know more about the company? Take a look here: MITSUBISHI ELECTRIC UNITED KINGDOM Role summary: The Applied Engineer delivers services directly to the customer, working on a variety of equipment located at sites across a specific region. As the face of Mitsubishi Electric excellent customer service in conjunction with top quality engineering and problem-solving skills are essential. Applied Engineers report to the Regional Service Manager and will work closely with Service Supervisors, Service Coordinators & the Quality/Warranty Manager to ensure that an efficient and profitable service is delivered. Applied Engineers will carry out a variety of activities on customer sites including planned preventative maintenance (PPM), quoted works, commissioning and emergency callouts, these activities will not be restricted to Mitsubishi Electric or Climaveneta branded equipment meaning that a thorough understanding of all major brands/types of chiller, heat pumps and air conditioning equipment technology will be required. Skills/Responsibilities: • To attend and complete planned site visits and resolve customer issues., • Focus on troubleshooting and repair within set timeframe and according to defined process, service agreements and customer needs., • To provide ‘on site’ advice to the customer related to technical installation and/or service issues., • To document all findings from the visit including the nature of the work carried out, the time taken to complete and any recommendations., • This information will be captured electronically in real time meaning it is instantly submitted to the regional service office to enhance efficiency and customer service., • To assist the Regional Service Manager to develop positive customer relationships and to identify any remedial works required., • Where relevant to act as a technical ‘on the job’ coach for less experienced service team members., • Diagnose and repair system malfunctions requiring specific technical knowledge and relevant qualifications., • To build and maintain a good working relationship with the regional Service Coordinators and to understand their challenges and requirements., • Seek clarification and technical support where needed and escalate issues as appropriate., • To commission and start-up systems in line with defined regulations, standards and processes., • Understand and analyse relevant technical documents (electrical, hydronic, piping, psychometric) and to practically apply this information to resolve the issues encountered on site., • Always working to a high level of customer service, ensuring that the customer is informed upon arrival and before leaving the site and that they receive any necessary updates as the job progresses. Experience Required: • Minimum C&G Level 2 Certificate in Small Commercial Refrigeration and Air Con Systems., • C&G Award in F-Gas & ODS Regulations: Category 1 (C&G2079-11), • IOSH, or equivalent, safety qualification., • Industry time served qualification., • Competent in water chillers and heat pumps, remedial work and commissioning., • Fault finding and diagnostic skills., • Good communication skills (written and verbal)., • Good client engineering interface experience specifically around Water Chillers / Heatpump service, maintenance and commissioning., • IT literate with product engineering software and Microsoft packages – Outlook, Excel, Word., • Competent as working alone or as part of a team., • Ability to work under pressure and use own initiative., • Personal attributes: self-motivated, driven, numerate, organised, punctual, assertive, professional, personable, and resourceful. In return for your commitment, we will offer you some fantastic benefits: • Generous annual leave allowance - 25 days per year, plus bank holidays increasing by one day with each year of service until 27 days per year, • Pension, • Life Assurance, • Private Medical, Dental Insurance and a Cash Plan Scheme – Single cover funded by Mitsubishi, • Access to Mitsubishi’s very own discount platform, • Colleague Referral Scheme, • Holiday Buy, • Long Service Awards, • Cycle to Work Scheme, • Sports & Social Club (Recent events such as theatre trips, Ascot, Paintball, The Darts), • Employee Assistance Programme including additional services Eldercare & Best Doctors Equality and Diversity: As the business environment around Mitsubishi Electric Group is rapidly changing, providing a workplace where employees can work to their full potential regardless of gender or age is essential to business development.

PRIMARY JOB FUNCTION To lead and manage a professional team within the Building Control service.To assist the Building Control Manager in providing expert technical advice on building control matters.To supervise and co-ordinate the day to day activities of a plan checking and site inspection team i

Sonic Healthcare UK encompasses the two main entities in the UK, The Doctors Laboratory (TDL) and Health Services Laboratories (HSL). With our core laboratory based at The Halo Building in London WC1H 9AX, we also have an expanding site in Manchester as well as smaller hospital-based laboratories ac

A well-established organisation is seeking an In-House Mechanical Engineer to support critical mechanical services at a large operational site in Hatfield.The role involves delivering maintenance and ensuring operational continuity across building services in a fast-moving environment.Candidates mus

The Role at a Glance: Mobile Site Ops Manager Working Across London £50,000 Plus Company Vehicle, 25 Days Holiday + Bank Holidays, Training & Growth Values: Integrity, Attention to Detail, Fun, Innovation, Adaptability Company: Building Maintenance Without Limits Your Background: C

A facilities management company is seeking a reliable Multiskilled Engineer to work on-site at London Zoo. This role involves carrying out planned and reactive maintenance work, focusing on carpentry, brickwork, and general building maintenance.

A public services organization is seeking a Building Services Supervisor to join their dynamic team in ensuring the safety and security of iconic buildings.

A leading real estate firm is seeking a Building Surveyor to join their Building Consultancy department in Central London.

Hours: Monday - Friday 08:00 - 17:00.For detailed information regarding the responsibilities of the role please email Ticket Loan (after 6 months’ service).Private Medical Insurance – Inc Dental, Optical and audio.

A leading facilities management company is seeking an experienced Engineering Supervisor to oversee engineering operations at a commercial building in Wandsworth. Applicants should have a strong technical background with relevant qualifications and experience in commercial building services.

A UK-based building services company is seeking a Site Supervisor to oversee operations at their site in London.

Support the Team Leader for Building Control with the co‑ordination, deployment and monitoring of available resources to ensure the effective delivery of both design appraisal and site inspection services. Building Control Surveyor / Site Inspector. Enforcement action for non‑compliance with the

A UK defense organization is recruiting for construction supervisors or engineers at Aldermaston.The role involves supporting project delivery and ensuring quality standards on a significant build program.The ideal candidate will have experience in construction supervision and relevant qualification

A leading facility management company is seeking an Engineering Manager to oversee multiple sites across Central London. Responsibilities include site inspections, team management, and coordinating with HR for recruitment.

Candidates should have a background in M&E or Building Services, with a Bachelor’s degree in Electrical Engineering or a similar field.

A reputable employment service is urgently seeking a Building Control Surveyor/Site Inspector in Solihull for a full-time role lasting 4 months. The successful candidate will assess compliance with Building Regulations, conduct site visits, and provide expert advice.

This role involves carrying out various maintenance tasks including carpentry, brickwork, and general building work. This position offers the chance to develop skills on-site within a leading organization.

A facilities management company is seeking a Multi-skilled Maintenance Engineer with a mechanical bias to ensure planned preventive maintenance and support event set-ups at client sites in London.

A leading global real estate firm is seeking a proactive Multi-Skilled Engineer to deliver planned and reactive maintenance across building services in London.

Mon-Friday split shift: week 1 7am – 4pm; week 2 9am – 6pm.For detailed information regarding the responsibilities of the role please email Ticket Loan (after 6 months’ service).After probation: Cycle to Work Scheme.Private Medical Insurance – Inc Dental, Optical a

A leading British defense organization is recruiting Construction Mechanical, Electrical, or Building Services Supervisors/Engineers in Aldermaston to support project planning and delivery. Responsibilities include supervising installation works, maintaining site diaries, and ensuring compliance wit

A UK-based building services company is seeking a Site Manager for a full-time position in London. This is an exciting opportunity for candidates looking to advance their careers in site management.

A global real estate services firm in Greater London seeks a Heritage Building Surveyor to provide leadership in building surveying across complex and heritage sites.

A prominent building services company is seeking a Support Engineer to provide site cover for planned and unplanned leave.

A leading defence technology firm in the UK is seeking a Building Services Engineer (Electrical Biased) to join their team at Boscombe Down.

A leading construction service provider in the UK is seeking a Site Manager to oversee all site elements of various projects. The ideal candidate is a qualified electrician with prior experience in site management and team leadership. Responsibilities include ensuring compliance with EHSQ regulation

Mechanical Building Services Site Engineer. MECHANICAL SITE ENGINEER (LONDON). They have an urgent requirement for a Mechanical Site Engineer to lead an M&E project based in London working on healthcare projects.

The role requires at least five years in commercial building operations and three years in a supervisory role.

A leading UK recruitment firm is seeking a Multi-Site Building Maintenance Engineer to oversee maintenance across three central London locations.

A leading global real estate firm in West London seeks a Shift Engineer to provide all-round engineering support and maintain building infrastructure. Ideal candidates will have an apprenticeship in Building Services, excellent communication skills, and relevant engineering qualifications, including

A Deloitte Best Managed Company Award winner for eight years running, we pride ourselves on being a full building services solutions provider and have successfully delivered multiple large-scale projects in Ireland, the UK & mainland Europe. In this role, you would be responsible for managing all si

A top facilities management provider in Greater London is seeking a Resident Building Services Engineer to ensure effective maintenance across sites.

A leading service company in the UK is looking for a skilled Building Services Engineer.

As a Graduate Site Engineer you will report to an Engineer/Senior Engineer and assist the Site Engineers in providing setting out/engineering control on site. Graduate Site Engineer 2026 - Building. Assist in site engineering control and setting out activities and provide information to operatives a