1445 jobs found

eDiscovery Lead for International Law firm Can be based in London or North West (based on candidates location) Opportunity: An exceptional opportunity has arisen to join a leading international law firm with a top-tier Disputes practice. This is a chance to play a key role in shaping and developing a growing Technology & E-Discovery function, supporting complex, high-profile disputes and investigations. This position sits at the heart of the firm s strategic growth plans, combining innovative legal technology with expert legal services to deliver cutting-edge e-disclosure solutions. The Role As Technology & E-Discovery Manager, you will lead the delivery of end-to-end e-discovery services across a diverse range of matters. You will act as the central point of expertise, working closely with legal teams to implement tailored digital solutions and ensure best-in-class service delivery. You ll also play a pivotal role in building capability within the team, driving innovation, and enhancing the firm s use of technology-assisted review tools. Key Responsibilities Partner with Disputes teams to design and deliver tailored e-discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay ahead of industry trends and emerging technologies, sharing insights across the business Ensure compliance with legal and regulatory requirements relating to disclosure About You You ll be a highly experienced e-discovery professional with strong technical expertise and a collaborative approach. Key skills and experience include: Deep understanding of document review platforms and disclosure processes Hands-on experience with leading tools (e.g. Relativity, Nuix or similar) Strong knowledge of AI-driven review technologies such as TAR and CAL Proven experience managing teams and delivering training Solid understanding of the Electronic Discovery Reference Model (EDRM) Experience implementing quality control processes and mitigating risk in review workflows Ability to advise on strategic use of technology in complex matters Experience with scripting or automation is advantageous Strong client-facing experience within professional services or legal environments Why Apply? Opportunity to build and shape a growing function within a prestigious firm Exposure to complex, high-value disputes and investigations Work with cutting-edge legal technology and AI tools Collaborative, forward-thinking environment with strong career progression eDiscoveryJobsLiverpool, eDiscoveryjobsLeeds About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA s PM s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients specifications. Our Data Protection number: ZA(phone number removed)

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

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

eDiscovery Lead for International Law firm Can be based in London or North West near Greater Manchecter (based on candidates location) Opportunity: An exceptional opportunity has arisen to join a leading international law firm with a top-tier Disputes practice. This is a chance to play a key role in shaping and developing a growing Technology & E-Discovery function, supporting complex, high-profile disputes and investigations. This position sits at the heart of the firm s strategic growth plans, combining innovative legal technology with expert legal services to deliver cutting-edge e-disclosure solutions. The Role As Technology & E-Discovery Manager, you will lead the delivery of end-to-end e-discovery services across a diverse range of matters. You will act as the central point of expertise, working closely with legal teams to implement tailored digital solutions and ensure best-in-class service delivery. You ll also play a pivotal role in building capability within the team, driving innovation, and enhancing the firm s use of technology-assisted review tools. Key Responsibilities Partner with Disputes teams to design and deliver tailored e-discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay ahead of industry trends and emerging technologies, sharing insights across the business Ensure compliance with legal and regulatory requirements relating to disclosure About You You ll be a highly experienced e-discovery professional with strong technical expertise and a collaborative approach. Key skills and experience include: Deep understanding of document review platforms and disclosure processes Hands-on experience with leading tools (e.g. Relativity, Nuix or similar) Strong knowledge of AI-driven review technologies such as TAR and CAL Proven experience managing teams and delivering training Solid understanding of the Electronic Discovery Reference Model (EDRM) Experience implementing quality control processes and mitigating risk in review workflows Ability to advise on strategic use of technology in complex matters Experience with scripting or automation is advantageous Strong client-facing experience within professional services or legal environments Why Apply? Opportunity to build and shape a growing function within a prestigious firm Exposure to complex, high-value disputes and investigations Work with cutting-edge legal technology and AI tools Collaborative, forward-thinking environment with strong career progression eDiscoveryJobsLiverpool, eDiscoveryjobsLeeds About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA s PM s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients specifications. Our Data Protection number: ZA(phone number removed)

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

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

Production Planner Our client is a leading manufacturing company based in Kings Lynn; due to their continued growth and development they are seeking to employ a Production Planner/Assistant to join their friendly and professional team. Permanent role. Hours will be Monday Thursday 8am 5pm and Friday 8am 4pm. Competitive salary offered. Reporting to the Commercial Manager Overall Responsibilities To have regular effective communication with the customer. To maintain and update the business system accordingly in line with business requirements. To support the Commercial Manager as required. Excellent organisational skills required. You have the responsibility to ensure all areas and workspaces are kept clean, tidy, and organised to ensure a safe and clean working environment. To comply to the companies Health & Safety Policies. To comply to the companies Quality Management System. Responsibilities & duties To assist the Production Planners when instructed. Producing Job Packs in line with the Production Planner s requirements. Checking materials and parts are available for production. Keep filing systems organised and scanning of documents current and up to date. Working to the current processes. Answer telephone calls in a timely manner and direct to the correct member of staff. Communicate effectively when required with customers, suppliers and BSA personnel. Experience preferred in using a manufacturing system. (Training will be given) Maintain production records as and when required. Raise purchase orders for consumables and packaging. General administrative duties as required. To carry out any other reasonable task as requested by the management. The ideal candidate must have excellent communication skills both verbally and written.

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

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

Production Manager Salary: £40,000pa - £45,000pa + benefits Location: Reading Contract type: Permanent, 40 hours per week Annual leave: 33 days holiday , including bank holidays Annual bonus 5% Pension Role Overview: We are seeking a Production Manager to lead, manage and develop production teams, ensuring operational excellence, resource efficiency, and continuous improvement across the site. Key Responsibilities: Lead continuous improvement initiatives and resolve production issues. Monitor and report on KPIs, recommending actions to improve efficiency and quality. Plan and coordinate production resources to meet targets and deadlines. Develop and manage budgets, controlling costs and productivity. Lead, motivate, and develop teams, managing performance, absence, and health & safety compliance. Skills & Experience: Strong leadership, communication, and team-building skills. Excellent analytical and organisational abilities. Proficient in Microsoft Office (Excel, Project, PowerPoint, Outlook). Customer-focused, proactive, and results-driven. Other benefits: Private medical Life assurance Employee Assistance Programme On-site parking

Office Manager / PA (Part-time, Temp-to-Perm) Location: Burford (hybrid: office/home - own transport essential) Hours: Minimum 25 hours per week (typically 25-30), spread over 4-5 days, 9am-5pm Rate: £18 - £20 per hour (depending on experience) This is a newly created role that will play a pivotal part in the business and offers huge variety. You will be an important part of a small team, supporting senior management while ensuring the smooth running of the office. Key Responsibilities Providing comprehensive office administration support to the Operations Director and wider team Coordinating meeting rooms, schedules, and diary management Supporting the smooth running of the office through facilities-related tasks Assisting with editorial, production, and client coordination as required Updating social media posts, including on the company website Following leads and assisting with sales administration Sending confirmations and invoices to clients About You A professional who is polished and confident A self-starter, motivated and comfortable working independently Strong communication and interpersonal skills, always delivering a 5 service Confident using Microsoft Office and standard office systems An independent thinker who is happy to come up with creative solutions Highly organised, proactive, and able to manage multiple priorities Professional discretion and confidentiality when handling sensitive information An appreciation for the Cotswolds and rural lifestyle The Role Initially temporary, with a view to becoming permanent for the right candidate Opportunity to increase to full-time hours as the role develops A varied role combining office management, PA support, admin, sales coordination, and digital support Please email your CV and a short cover note explaining why you're a good fit, along with: Your availability / notice period Typical weekly availability (days/hours) Any relevant experience with finance/admin systems or social media

We're looking for a collaborative and engaged Technical Pricing Manager to lead our technical pricing activities and help shape the future of actuarial work at Geo. In this role, you'll guide and support a talented team, ensuring our pricing output is robust, relevant and responsive to market change. You'll play a key role in developing people, empowering them to grow to their full potential, and fostering an environment where great ideas and analytical excellence can thrive. Working closely with the Head of Actuarial, you'll also help nurture strong relationships with our insurer partners and the CUO Office, establishing and maintaining strong commercial relationships. At Geo Underwriting, we're proud to be a forward-thinking MGA with a passion for providing specialist insurance to niche and emerging markets. Our central Pricing & Actuarial Team sits at the heart of this mission, offering trusted technical insight, market-focused pricing support and thoughtful analysis across a broad and varied portfolio. Our work spans Agriculture, Protection, Construction, Specialist Commercial, Marine and Leisure - giving you the opportunity to apply your expertise across diverse and meaningful product lines. What you will do as a Technical Pricing Manager: Lead and deliver the technical pricing strategy across Geo - including technical pricing, second reviews of market pricing, and insights that support sustainable and profitable growth. Create and maintain processes that ensure pricing models are fit for purpose, including monitoring inflation and other key market dynamics. Oversee aggregation monitoring (e.g., flood, hail, conflagration), working with the Central Underwriting Office to propose practical risk-control mechanisms. Produce clear and meaningful pricing MI that supports binder performance and portfolio management. Contribute to M&A due diligence, assessing the strength and implementation of target pricing models. Encourage high professional standards within the team, leading by example and supporting ongoing development and wellbeing. Ensure strong data governance and data quality across pricing and exposure management activities. Stay engaged with market developments and help translate insights into continuous improvement for the actuarial team. Build trusted, positive relationships internally and externally, championing the value the actuarial team brings to Geo. Commit to continuous learning, including mandatory training and professional development aligned with your growth plan. Encourage new ideas and innovation, contributing to a supportive environment where change is embraced with confidence. What we are looking for in a Technical Pricing Manager: Part-qualified actuary (minimum two years' experience) or equivalent actuarial expertise. At least two years' experience in technical pricing or a related analytical field (e.g. claims analytics). Advanced user of spreadsheets and presentation software (Microsoft Excel and PowerPoint) Programming knowledge of SQL and R is essential (This role will involve teaching others and working with programming) Understanding of data governance and pricing compliance (desirable). Knowledge of general insurance underwriting and commercial pricing experience welcomed. Experience of managing people and processes (desirable, not essential). Experience in programming languages such as R, Python or SQL is highly desirable Experience with actuarial pricing software (e.g., Emblem) is desirable. Able to lead the production of Generalised Linear Models and other pricing models Strong analytical capability with excellent attention to detail. Confidence in prioritising workload for yourself and others in line with organisational needs. Clear, adaptable communication skills, both technical and non-technical. Ability to translate complex outputs into engaging, digestible insights. Comfortable navigating change and helping others do the same. Everywhen is an equal opportunities employer, with a growing and thriving diversity, equity and inclusion strategy; we are committed to a working environment that is free from discrimination, is inclusive, and empowers our people to bring their whole self to work and reach their full potential. If your application is successful, we will conduct relevant employment checks prior to you commencing employment with us. These will include verifying your recent employment, address, credit history and a standard criminal record check. Please note: We may close a vacancy prior to the publish end date if the required quality or number of applications has been received. Note to recruiters and employment agencies: We will not pay for unsolicited CVs from recruiters and employment agencies unless we have a signed agreement and have requested assistance, in writing, for a specific opening.

About you You enjoy being in the middle of things. Clients, production, deadlines, detail. You like keeping everything moving and making sure nothing slips. You might already be an Account Manager in large format print, signage or display, or a strong Account Executive ready to step up. You understand how jobs flow through a large format environment and you are comfortable taking ownership. If you like being close to the work, involved in the detail and trusted to manage jobs properly, this will suit you. Your experience You have experience in account management within large format print, signage, display graphics or branded environments. You understand materials, finishes and processes across large format print. Vinyl, boards, POS, display and installation requirements will be familiar to you. You are confident working on estimates and putting together quotes. You understand how to price jobs commercially and accurately. Experience using Clarity MIS would be a real advantage, though not essential. You are organised, detail focused and comfortable managing multiple live projects at once. What you will be doing with your experience in this role You will manage client accounts across large format print and display projects. You will take briefs, advise on the best print solutions, prepare estimates and ensure quotes are accurate and commercially sound. You will process orders, manage timelines and liaise with production to make sure jobs are delivered to spec. You will use systems such as Clarity to track jobs, manage workflow and keep everything organised. You will build strong client relationships, becoming the go to person for anything print-related while identifying opportunities to grow accounts. Your role will be to keep projects moving smoothly from brief through to delivery, balancing client expectations with production realities. About the business This is an established large-format print business delivering high-quality graphics and display solutions. They support clients across retail, events and branded environments, producing everything from POS and signage through to large scale graphics. The team is experienced and hands on, with a strong focus on quality, service and getting the job done properly. You would be joining a business with solid foundations, good systems and a steady flow of varied work. Next steps A CV isn't needed to start a conversation, so no matter stage you're at in your job search, get in touch to discuss

Production Manager Poole £40,000 A global market-leading manufacturing company is seeking an experienced and detail-driven Production Manager to take full ownership of production planning, schedule adherence, and delivery performance at its Poole site. Working closely with Operations, Engineering, Quality, and Supply Chain teams, this pivotal role is responsible for translating business demand into a robust and achievable production plan. You ll lead from the front, embedding planning discipline, driving accountability across the production function, and ensuring products are delivered on time and to the highest quality standards. With a strong reputation in their specialist sector and a fast-paced manufacturing environment, this is an excellent opportunity for a Production Manager who thrives on structure, quality, and continuous improvement. You'll benefit from: • 25 days holiday plus bank holidays • Company pension scheme • Early finish Fridays • Supportive working environment • Ongoing development opportunities Key responsibilities: • Own and manage production planning and scheduling in line with sales demand, capacity, and material availability • Lead monthly and weekly production scheduling, resolving constraints ahead of execution • Maintain clear visibility of capacity versus demand, planning up to three months ahead • Drive schedule adherence and minimise disruption through structured planning and governance • Carry out daily and weekly MRP runs for machine builds, sub-assemblies, and spares • Take full accountability for on-time, in-full (OTIF) delivery performance • Create job cards and ensure smooth production flow from sub-build through to final build, test, and packing • Establish daily and weekly production reviews, KPI tracking, and issue resolution forums • Record delivery issues, conduct root cause analysis, and implement corrective actions • Champion a right first time culture and ensure compliance with quality standards, regulatory requirements, and ISO frameworks • Lead continuous improvement initiatives using lean manufacturing principles Experience required: • Proven experience in a production leadership role within a fast-paced manufacturing environment • Strong background in production planning, scheduling, and capacity management • Track record of delivering against production plans and tight deadlines • Experience leading teams and driving accountability • Working knowledge of lean manufacturing and continuous improvement methodologies Skills required: • Highly structured and organised approach • Strong attention to detail with a quality-first mindset • Confident, data-driven decision-making skills • Ability to resolve issues under pressure and manage competing priorities • Clear communication and stakeholder management skills • Familiarity with ERP/MRP systems and production planning tools • Experience in an electro-mechanical manufacturing environment would be advantageous This role is ideal for a quality-driven Production Manager looking to play a key role in improving planning discipline, delivery performance, and operational excellence within a growing manufacturing business. Please call Ellie at Rubicon for more information on (phone number removed).

MERITUS are recruiting for an Electronics Design Engineer to join our client in the defence sector on an initial 12 month contract to support missile sub-system projects from their site in Stevenage. ELECTRONICS DESIGN ENGINEER - INSIDE IR35 - 58 PER HOUR ( 429.20 PER DAY) - STEVENAGE, ONSITE - 12 MONTHS - SINGLE STAGE INTERVIEW PROCESS - OPPORTUNITY TO UNDERGO SC CLEARANCE You will be responsible for developing cutting-edge electronic solutions for weapon systems. This will include on board missile sub-systems and Land, Sea and Air based Firing Units. Your role will entail responsibility for the quality and performance of the electronic solution together with providing cost and schedule updates to a project manager. You will have a sound track record in electronic design capability throughout the product life cycle, i.e. early concept through to production. The technical solutions you will implement will range across the Power and Analogue Electronics sphere of expertise and will be at both sub-system and board level. This role will require you to liaise with other domains, e.g. Software, Firmware, Mechanical, Environmental, EMC etc. to ensure your designs perform in all respects to the requirements placed upon you. In so doing you will be key to delivering world class missile solutions to our customers. Skillset/experience required: Ideally, degree qualified with significant post qualification experience in Electronic Design, development and delivery. Someone who can demonstrate the capability to lead significant Electronic design work packages and have experience of working within a multi-disciplinary team with the awareness and understanding of the challenges that this may bring. Excellent problem solving skills and knowledge of a wide range of electronic technologies and products. Strong communication skills, both written and verbal, with the ability to influence and negotiate with stakeholders across the business.

Packaging Manager Glasgow Competitive Salary Some roles keep things ticking over. This one defines how an operation performs. HRC Recruitment are proud to be partnering with Tennent's to appoint a Packaging Manager at Wellpark Brewery, a site that has been at the heart of Scottish brewing for over 450 years. This isn t just a leadership role within packaging. It s a position that sits at the centre of site performance, where what happens on your watch is visible across the entire business. You ll take ownership of a large, complex operation spanning canning, bottling, kegging, and warehousing, leading through a team of experienced managers, with overall responsibility for more than 75 people. But this isn t about being close to the lines. It s about setting direction, creating clarity, and building a structure that delivers consistently. As part of the Site Leadership Team, you ll work closely with Brewing, Engineering, Quality, and Planning. Your voice will carry weight, not just in how packaging performs, but in how the site continues to evolve. At its core, this role is about building something that works - and keeps working. You ll shape a culture where safety is a given, not a target. Where quality is protected without compromise. Where performance is understood, measured, and continuously improved. And where people know what s expected of them - and are supported to deliver it. There are, of course, fundamentals you ll own: Setting the standard across safety, quality, cost, and delivery Using data to drive efficiency, reduce losses, and improve output Developing a strong leadership team that can operate with autonomy Embedding continuous improvement and supporting ongoing investment across the site But the real impact comes from how you lead, and what you build around you. This role suits someone who is already comfortable operating at senior level within a fast-paced manufacturing environment. Someone who knows how to lead through others, who can balance short-term delivery with long-term improvement, and who brings both credibility and presence to a leadership team. You ll understand packaging operations, high-speed production, and the realities of managing performance and people at scale. More importantly, you ll know how to turn that understanding into results. In return, you ll step into a senior leadership role within one of the UK s most recognised brewing brands, with a competitive package and the opportunity to shape a critical part of the operation. Because at Tennent's, this isn t just about maintaining standards. It s about raising them. Contact Diane Smedley-Nisbet for a confidential chat on (phone number removed) or email (url removed)

My client is a leading organisation in Secure communications and Data at Rest domain! They are expanding their UK team to support multiple Cyber and Information Assurance development projects. The company is seeking an experienced FPGA Design Engineer to join a fast-paced, multi-disciplinary environment focused on both standard products and bespoke secure digital design solutions. This role involves full lifecycle ownership of FPGA solutions-from requirements and architecture through implementation, verification, and production. The position covers complex FPGA designs incorporating both industry-standard and custom protocols. Key Responsibilities include - Own the delivery of FPGA solutions from requirements through to production. Lead the elicitation and interpretation of requirements for FPGA implementations. Define FPGA architecture in collaboration with the wider development team. Work alongside Project Managers to plan and deliver against project timelines. Coordinate other FPGA engineers when required. Liaise with external FPGA and IP suppliers. Develop test benches and perform in-system testing. Contribute to proposals, estimations, and technology roadmaps when needed. Essential Skills & Experience - Proven track record delivering FPGA designs across the full development lifecycle. Strong VHDL skills for FPGA design and verification. Experience optimising designs for performance and power efficiency. Experience debugging and integrating FPGA solutions in hardware. Proficient with configuration management tools. Experience with Microchip devices and Libero for design synthesis (advantage). Experience verifying HDL using ModelSim or Questasim (UVM beneficial). Desirable Skills - Requirements analysis and management (e.g., DOORS). Experience with SmartFusion, PolarFire or Igloo devices. Knowledge of PCIe NVMe implementations in FPGA. Experience with Xilinx or Altera devices/toolchains. Familiarity with 3rd-party IP integration. Design for security principles. Embedded firmware development (C/C++/assembler). Understanding of cryptographic algorithms and standards. Experience integrating FPGAs within larger hardware platforms. If you're interested in this role, then please apply. I will reach out to you via phone call to discuss further!

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

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

Our client is looking for a highly motivated and reliable Number 1 Lithographic Printer for a PERMANENT position at their site based in Bradford, West Yorkshire. Key Responsibilities of Lithographic Printer: To effectively run the print machines, identifying and reporting any necessary maintenance faults and requirements. Maximising machine efficiency and minimise machine downtime. Achieve daily/weekly production targets. Carry out reconciliation of quantities required, and quantity produced, ensuring correct specifications and quantity of product are produced within the specified deadline. Ensure any shortages and targets not met or not as requested are escalated and are immediately reported to the department manager. Identify improvement opportunities and actively support company improvement initiatives Ensure the correct procedures and quality checks are completed to ensure production meets both company, customer specifications and established industry and quality standards. Compliance with good housekeeping, GMP procedures and the 5s methodologies. Follow Health and Safety procedures to ensure a safe working environment, escalating concerns and risk. Follow all company processes and procedures in accordance with company Quality Manual, ISO 9001:2000, PS 9000 and GMP. Experience required for Lithographic Printer: Successful candidates should be educated to a good standard with qualifications in Lithographic Printing or equivalent experience. Additionally, you should have previous experience of working within the Print Manufacturing Industry, preferably with previous exposure and experience with Lithographic Printers, KBA and or Komori Machines. Hours of work: Continental Shifts, 36 hours per week with paid breaks. (This is a set shift pattern which will be provided with full job description) Salary Competitive Dependant on Experience How to Apply: For a full job description please apply by emailing your CV by selecting the Apply Now option and call Stacey on 0/7/7/8/5/2/5/1/1/6/7 Bradford / Leeds / Keighley / Bingley / Shipley / Huddersfield