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HUNTER SELECTION
Commercial Gas Engineer
HUNTER SELECTION
Commercial Gas Engineer 40,000 - 58,000 DOE Multiple locations This is a fantastic opportunity to work for an industry leading company going through an exciting growth period. My client are looking for fully trained commercial gas engineers to carry out Service, Breakdowns, Maintenance, Working in Plant Rooms and Boiler Rooms. The chosen Commercial gas Engineer will be responsible for looking after multiple units around their patch, building great relationships whilst performing servicing, installs and general maintenance. Job Description PPM's and reactive work Heat Pumps Pipework Installs (if capable) Plant Rooms Working in various commercial units Responding promptly to service call requests Reactive and general maintenance - On call - 1 in 6 (Will be discussed at interview stage) 8:00am - 5:00pm, Monday to Friday Requirements NVQ or equivalent IPAF is preferred Full UK Driving License Benefits: Company vehicle 33 days holiday If you are interested in this role or looking for something similar, please contact our Consultant Max Hooper directly at or call them for a confidential discussion on (phone number removed) or (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jan 12, 2026
Full time
Commercial Gas Engineer 40,000 - 58,000 DOE Multiple locations This is a fantastic opportunity to work for an industry leading company going through an exciting growth period. My client are looking for fully trained commercial gas engineers to carry out Service, Breakdowns, Maintenance, Working in Plant Rooms and Boiler Rooms. The chosen Commercial gas Engineer will be responsible for looking after multiple units around their patch, building great relationships whilst performing servicing, installs and general maintenance. Job Description PPM's and reactive work Heat Pumps Pipework Installs (if capable) Plant Rooms Working in various commercial units Responding promptly to service call requests Reactive and general maintenance - On call - 1 in 6 (Will be discussed at interview stage) 8:00am - 5:00pm, Monday to Friday Requirements NVQ or equivalent IPAF is preferred Full UK Driving License Benefits: Company vehicle 33 days holiday If you are interested in this role or looking for something similar, please contact our Consultant Max Hooper directly at or call them for a confidential discussion on (phone number removed) or (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
DevOps Engineer
Halliburton Abingdon, Oxfordshire
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 12, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Penguin Recruitment Ltd
Commercial Gas Engineer
Penguin Recruitment Ltd Frampton On Severn, Gloucestershire
Commercial Gas Engineer East / South Midlands Up to £55k + Company Van, Fuel Card + 10% Annual Bonus Overview Are you a skilled professional eager to elevate your career within a dynamic and supportive environment? Representing a prominent technical engineering specialist, we are seeking an experienced and motivated Commercial Gas Engineer to become a key member of the team. Offering a highly competitive salary package of £55k + overtime, along with a company vehicle and fuel card, this position presents an exciting opportunity to advance your technical expertise. With a strong emphasis on ongoing development, particularly in air conditioning systems, and a structured career progression pathway, this role is ideally suited for those looking to grow in their field. Role Responsibilities As a Commercial Gas Engineer, your core responsibilities will include: Ensuring expert installation, maintenance, and repair of commercial gas systems to the highest industry standards. Proactively diagnosing and solving technical issues efficiently. Conducting routine inspections while adhering to all safety and regulatory compliance requirements. Building and maintaining strong client relationships by delivering exceptional customer service. Collaborating effectively with colleagues to provide comprehensive and high-quality engineering solutions. Expanding proficiency by undertaking additional training/experience in air conditioning systems. Candidate Requirements To excel in this role, applicants should meet the following criteria: Demonstrable experience in a Commercial Gas Engineer role, with a proven track record of success. Relevant certifications/qualifications in commercial gas engineering. Thorough understanding of safety protocols and regulatory compliance. Previous experience (or a willingness to train) in air conditioning systems. Strong analytical and problem-solving abilities, with keen attention to detail. A driven, results-focused approach with a commitment to excellence. A valid UK driving license is essential. Typical Daily Activities In this role, your day-to-day activities will encompass: Traveling to various client locations via a company-provided vehicle. Performing scheduled maintenance and urgent repair work on commercial gas systems. Evaluating and optimizing system performance where applicable. Engaging clients to assess their specific needs and deliver bespoke solutions. Keeping precise records of completed work in all required documentation, ensuring compliance. Participating in structured training and professional development initiatives to further enhance skills. Benefits and Perks This role comes with a comprehensive rewards package, designed to value and support our team members: Competitive base salary of £55k + overtime opportunities to acknowledge your expertise. Company vehicle and fuel card provided for seamless travel during work. Exclusive access to training programs in air conditioning systems, facilitating your growth. A clear, well-defined career progression pathway. Continuous learning and development opportunities to support your professional advancement. A collaborative, supportive working environment that recognizes and rewards dedication to excellence. If you are an accomplished Commercial Gas Engineer driven by professional growth, with a passion for delivering top-tier results, we would love to hear from you. Join a team that places innovation, expertise, and development at the forefront of everyday operations. If you meet the criteria and want to discuss in confidence, please contact James Williams.
Jan 12, 2026
Full time
Commercial Gas Engineer East / South Midlands Up to £55k + Company Van, Fuel Card + 10% Annual Bonus Overview Are you a skilled professional eager to elevate your career within a dynamic and supportive environment? Representing a prominent technical engineering specialist, we are seeking an experienced and motivated Commercial Gas Engineer to become a key member of the team. Offering a highly competitive salary package of £55k + overtime, along with a company vehicle and fuel card, this position presents an exciting opportunity to advance your technical expertise. With a strong emphasis on ongoing development, particularly in air conditioning systems, and a structured career progression pathway, this role is ideally suited for those looking to grow in their field. Role Responsibilities As a Commercial Gas Engineer, your core responsibilities will include: Ensuring expert installation, maintenance, and repair of commercial gas systems to the highest industry standards. Proactively diagnosing and solving technical issues efficiently. Conducting routine inspections while adhering to all safety and regulatory compliance requirements. Building and maintaining strong client relationships by delivering exceptional customer service. Collaborating effectively with colleagues to provide comprehensive and high-quality engineering solutions. Expanding proficiency by undertaking additional training/experience in air conditioning systems. Candidate Requirements To excel in this role, applicants should meet the following criteria: Demonstrable experience in a Commercial Gas Engineer role, with a proven track record of success. Relevant certifications/qualifications in commercial gas engineering. Thorough understanding of safety protocols and regulatory compliance. Previous experience (or a willingness to train) in air conditioning systems. Strong analytical and problem-solving abilities, with keen attention to detail. A driven, results-focused approach with a commitment to excellence. A valid UK driving license is essential. Typical Daily Activities In this role, your day-to-day activities will encompass: Traveling to various client locations via a company-provided vehicle. Performing scheduled maintenance and urgent repair work on commercial gas systems. Evaluating and optimizing system performance where applicable. Engaging clients to assess their specific needs and deliver bespoke solutions. Keeping precise records of completed work in all required documentation, ensuring compliance. Participating in structured training and professional development initiatives to further enhance skills. Benefits and Perks This role comes with a comprehensive rewards package, designed to value and support our team members: Competitive base salary of £55k + overtime opportunities to acknowledge your expertise. Company vehicle and fuel card provided for seamless travel during work. Exclusive access to training programs in air conditioning systems, facilitating your growth. A clear, well-defined career progression pathway. Continuous learning and development opportunities to support your professional advancement. A collaborative, supportive working environment that recognizes and rewards dedication to excellence. If you are an accomplished Commercial Gas Engineer driven by professional growth, with a passion for delivering top-tier results, we would love to hear from you. Join a team that places innovation, expertise, and development at the forefront of everyday operations. If you meet the criteria and want to discuss in confidence, please contact James Williams.
SKY
ML Tech Lead
SKY Brent, London
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
Randstad Construction & Property
Mechanical Shift Engineer
Randstad Construction & Property
Mechanical Shift Engineer Location: Canary Wharf Working Pattern: Continental days and nights Salary: 50,000+ overtime Are you a skilled Mechanical Engineer looking to take the next step in your career? We're seeking a Mechanical Shift Engineer to join our team in a critical building environment , ensuring the seamless operation of essential systems. If you thrive in high-pressure environments and have a passion for delivering excellence, this is the role for you! Key Responsibilities: Perform planned and reactive maintenance on mechanical systems within a critical environment. Diagnose and repair faults across HVAC, pumps, valves, and other essential systems. Boilers, pressure systems and legionella control Monitor and maintain critical systems to ensure compliance with safety and operational standards. What We're Looking For: Qualifications: Level 2 or Level 3 in a Mechanical discipline (or equivalent). Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jan 12, 2026
Full time
Mechanical Shift Engineer Location: Canary Wharf Working Pattern: Continental days and nights Salary: 50,000+ overtime Are you a skilled Mechanical Engineer looking to take the next step in your career? We're seeking a Mechanical Shift Engineer to join our team in a critical building environment , ensuring the seamless operation of essential systems. If you thrive in high-pressure environments and have a passion for delivering excellence, this is the role for you! Key Responsibilities: Perform planned and reactive maintenance on mechanical systems within a critical environment. Diagnose and repair faults across HVAC, pumps, valves, and other essential systems. Boilers, pressure systems and legionella control Monitor and maintain critical systems to ensure compliance with safety and operational standards. What We're Looking For: Qualifications: Level 2 or Level 3 in a Mechanical discipline (or equivalent). Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
DevOps Engineer Jr
Halliburton Abingdon, Oxfordshire
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Junior-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 2+ years experience in building and maintaining distributed systems in on-premises Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204264 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 12, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Junior-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on-premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 2+ years experience in building and maintaining distributed systems in on-premises Strong experience in building and maintaining distributed systems in on-premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper-V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204264 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Belcan
Customer Advocate
Belcan Bristol, Gloucestershire
Customer Advocate Location: Bristol - Hybrid (Mon/Fri WFH, Tue-Thur in office) Hours: 8:30 am - 5:00 pm, Flexible (37.5 hours per week) Salary: Competitive About the Role Our Client is a leading provider of advanced military vehicle solutions and they are seeking a Customer Advocate to act as the single point of contact for resolving escalated issues, building customer loyalty, and ensuring responsiveness to service concerns. This role is integral to maintaining strong customer relationships and driving satisfaction across the entire customer lifecycle. Key Responsibilities Take ownership of Aftermarket-related issues across multiple departments to achieve resolution and customer satisfaction. Deliver "best in class" service through prompt, accurate, and professional responses to customer inquiries via phone and email. Provide troubleshooting support and parts assistance, while communicating aftermarket programs and services effectively. Liaise with senior management and internal teams, including preparing formal presentations and weekly issue reports. Analyse trends and identify opportunities for product improvements and reliability. Track and manage customer service notices, including field bulletins and safety campaigns. Support sales goals and assist marketing with program development and maintenance. Participate in ongoing training to maintain proficiency in products and technologies. Represent the company in internal service and parts meetings. Preferred Qualifications/Skills Bachelor's degree in a related field and 3+ years of relevant experience in manufacturing, customer service, or construction (or equivalent combination of education and experience). Ability to read and interpret engineering prints, hydraulic and electrical schematics. Strong problem-solving capabilities. If you think this could be a new and exciting career opportunity for you and you would like to learn more please apply now This vacancy is being advertised by Belcan.
Jan 12, 2026
Full time
Customer Advocate Location: Bristol - Hybrid (Mon/Fri WFH, Tue-Thur in office) Hours: 8:30 am - 5:00 pm, Flexible (37.5 hours per week) Salary: Competitive About the Role Our Client is a leading provider of advanced military vehicle solutions and they are seeking a Customer Advocate to act as the single point of contact for resolving escalated issues, building customer loyalty, and ensuring responsiveness to service concerns. This role is integral to maintaining strong customer relationships and driving satisfaction across the entire customer lifecycle. Key Responsibilities Take ownership of Aftermarket-related issues across multiple departments to achieve resolution and customer satisfaction. Deliver "best in class" service through prompt, accurate, and professional responses to customer inquiries via phone and email. Provide troubleshooting support and parts assistance, while communicating aftermarket programs and services effectively. Liaise with senior management and internal teams, including preparing formal presentations and weekly issue reports. Analyse trends and identify opportunities for product improvements and reliability. Track and manage customer service notices, including field bulletins and safety campaigns. Support sales goals and assist marketing with program development and maintenance. Participate in ongoing training to maintain proficiency in products and technologies. Represent the company in internal service and parts meetings. Preferred Qualifications/Skills Bachelor's degree in a related field and 3+ years of relevant experience in manufacturing, customer service, or construction (or equivalent combination of education and experience). Ability to read and interpret engineering prints, hydraulic and electrical schematics. Strong problem-solving capabilities. If you think this could be a new and exciting career opportunity for you and you would like to learn more please apply now This vacancy is being advertised by Belcan.
SKY
Machine Learning Team Lead
SKY Islington, London
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
Randstad Construction & Property
Electrical Lead Engineer
Randstad Construction & Property
Role: Lead Maintenance Engineer (Sole Charge) Location: Central London (High-End Static Site) Salary: 52,000 + Overtime + Great Benefits Schedule: Monday - Friday, 08:00 - 17:00 (Call-out only 1 in 16) Run Your Own Building. We are looking for an experienced, Electrical-biased Lead Engineer to take full ownership of the hard services at a prestigious commercial site in Central London. Key Duties: Technical Delivery (80%): deliver high-quality PPMs and reactive repairs, ensuring the building environment remains pristine. Electrical Expertise: Manage everything from LV distribution and lighting systems to comprehensive fault-finding and emergency light testing. HVAC Competence: Diagnose and repair AHUs, FCUs, VRV/VRF systems, and splits. Site Management: Oversee specialist sub-contractors (Lifts, Fire, Water) and ensure all site logbooks and compliance documentation are audit-ready. The Candidate: Fully qualified Electrical Engineer (C&G Level 3 & 18th Edition). Strong HVAC knowledge is essential-you must be comfortable diagnosing air conditioning and ventilation issues independently. Previous experience in a client-facing, corporate environment. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jan 12, 2026
Full time
Role: Lead Maintenance Engineer (Sole Charge) Location: Central London (High-End Static Site) Salary: 52,000 + Overtime + Great Benefits Schedule: Monday - Friday, 08:00 - 17:00 (Call-out only 1 in 16) Run Your Own Building. We are looking for an experienced, Electrical-biased Lead Engineer to take full ownership of the hard services at a prestigious commercial site in Central London. Key Duties: Technical Delivery (80%): deliver high-quality PPMs and reactive repairs, ensuring the building environment remains pristine. Electrical Expertise: Manage everything from LV distribution and lighting systems to comprehensive fault-finding and emergency light testing. HVAC Competence: Diagnose and repair AHUs, FCUs, VRV/VRF systems, and splits. Site Management: Oversee specialist sub-contractors (Lifts, Fire, Water) and ensure all site logbooks and compliance documentation are audit-ready. The Candidate: Fully qualified Electrical Engineer (C&G Level 3 & 18th Edition). Strong HVAC knowledge is essential-you must be comfortable diagnosing air conditioning and ventilation issues independently. Previous experience in a client-facing, corporate environment. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Get Staffed Online Recruitment Limited
Air Conditioning Engineer
Get Staffed Online Recruitment Limited Chatham, Kent
Are you a qualified, yet frustrated, Air Conditioning Installation Engineer who is currently not getting the opportunity, recognition, or being rewarded appropriately by your present employer for the results you are getting? Do you enjoy working in residential properties, alongside and training junior team members, and do you thrive on continually improving the success of your output? Maybe, you re currently Self-Employed, and fed up with the hassle that comes with self-employment, and you d like the comfort of regular hours, optional overtime and security? Do you pride yourself with exceptional timekeeping and communication skills, and do you want to join an Established Business and be an important cog in their growth plan? Our client is an Air-Conditioning Specialist that provides units to Apartments, Listed Buildings and Residential Properties in London and the South East. They are seeking an experienced, passionate and results-oriented Air Conditioning Installation Engineer who wants to progress their career. This is an important role, and you will be part of a growing, successful team who are focused on getting the Business to the next level. A valid and clean UK Driving Licence is required for travel between jobs. Salary and Hours: £54k £60k Full-Time; 8am 4pm (or 8 Hour on-site) Benefits They Offer: Company van Overtime available Expenses card Holiday pay Select company tools Career progression paths Duties and Responsibilities: Install and commission air conditioning systems in various residential settings. Work as a team and deliver air conditioning fit out works. Read and interpret our client s Surveyors job sheet to understand system layouts and troubleshooting processes. Collaborate with team members to develop efficient solutions for any potential problems. Provide guidance and training to junior staff on best practices in air conditioning installation. Maintain accurate records of work performed and submit job sheets on time. Stay updated on industry trends and advancements in air conditioning technology. Attend some service and breakdown appointments. Results Expected in this Position: Complete all tasks on time and in the correct manner. Strong communication between the Engineer and the office team. I will Meet these Standards: Be on time. Communicate well with clients and team members. Strictly follow our client s installation standard of works handbook. Be respectful of other people s property. Knowledge, Skills and Abilities Required: Proven experience as an Air Conditioning Installer. Strong mechanical knowledge with a focus on air conditioning systems. Ability to read and interpret technical information. Experience in equipment repair and maintenance practices. Leadership skills with the ability to mentor junior staff members. Excellent problem-solving skills and attention to detail. Relevant certifications or qualifications in HVAC (Heating, Ventilation, and Air Conditioning) are advantageous. A valid, and relatively clean UK driving license is required for travel between job sites. A knowledge of service and breakdowns. Experience Needed: Experience installing splits and multi splits. Experience in residential property installations. A small amount of plumbing knowledge. At least 5 years of install experience. F-GAS Qualification. If you want to join a Well-Established Business, and be a catalyst for their future growth, then this is the job for you! Come join their team and contribute to their mission of delivering exceptional air conditioning installations. Our client s selection process is unique in the marketplace and attracts motivated, productive team members, who they know will be successful and have a great career with them. They look forward to hearing from you. Don't miss this opportunity. Start your application NOW!
Jan 12, 2026
Full time
Are you a qualified, yet frustrated, Air Conditioning Installation Engineer who is currently not getting the opportunity, recognition, or being rewarded appropriately by your present employer for the results you are getting? Do you enjoy working in residential properties, alongside and training junior team members, and do you thrive on continually improving the success of your output? Maybe, you re currently Self-Employed, and fed up with the hassle that comes with self-employment, and you d like the comfort of regular hours, optional overtime and security? Do you pride yourself with exceptional timekeeping and communication skills, and do you want to join an Established Business and be an important cog in their growth plan? Our client is an Air-Conditioning Specialist that provides units to Apartments, Listed Buildings and Residential Properties in London and the South East. They are seeking an experienced, passionate and results-oriented Air Conditioning Installation Engineer who wants to progress their career. This is an important role, and you will be part of a growing, successful team who are focused on getting the Business to the next level. A valid and clean UK Driving Licence is required for travel between jobs. Salary and Hours: £54k £60k Full-Time; 8am 4pm (or 8 Hour on-site) Benefits They Offer: Company van Overtime available Expenses card Holiday pay Select company tools Career progression paths Duties and Responsibilities: Install and commission air conditioning systems in various residential settings. Work as a team and deliver air conditioning fit out works. Read and interpret our client s Surveyors job sheet to understand system layouts and troubleshooting processes. Collaborate with team members to develop efficient solutions for any potential problems. Provide guidance and training to junior staff on best practices in air conditioning installation. Maintain accurate records of work performed and submit job sheets on time. Stay updated on industry trends and advancements in air conditioning technology. Attend some service and breakdown appointments. Results Expected in this Position: Complete all tasks on time and in the correct manner. Strong communication between the Engineer and the office team. I will Meet these Standards: Be on time. Communicate well with clients and team members. Strictly follow our client s installation standard of works handbook. Be respectful of other people s property. Knowledge, Skills and Abilities Required: Proven experience as an Air Conditioning Installer. Strong mechanical knowledge with a focus on air conditioning systems. Ability to read and interpret technical information. Experience in equipment repair and maintenance practices. Leadership skills with the ability to mentor junior staff members. Excellent problem-solving skills and attention to detail. Relevant certifications or qualifications in HVAC (Heating, Ventilation, and Air Conditioning) are advantageous. A valid, and relatively clean UK driving license is required for travel between job sites. A knowledge of service and breakdowns. Experience Needed: Experience installing splits and multi splits. Experience in residential property installations. A small amount of plumbing knowledge. At least 5 years of install experience. F-GAS Qualification. If you want to join a Well-Established Business, and be a catalyst for their future growth, then this is the job for you! Come join their team and contribute to their mission of delivering exceptional air conditioning installations. Our client s selection process is unique in the marketplace and attracts motivated, productive team members, who they know will be successful and have a great career with them. They look forward to hearing from you. Don't miss this opportunity. Start your application NOW!
SKY
Applied Machine Learning Lead
SKY St. Albans, Hertfordshire
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
Cloud DevOps Engineer
Halliburton Abingdon, Oxfordshire
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain cloud infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure seamless integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 2+ years experience in building and maintaining distributed systems in cloud environments. Strong experience in building and maintaining distributed systems in cloud environments. Hands-on experience with at least one major public cloud provider (preferably AWS or Azure). Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell, AWS CLI, Flux CLI for automation of operational tasks. Networking including firewall principles, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with cloud-native design patterns. Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of cloud security best practices, including: Identity and Access Management (IAM) Secrets management Network security (VPCs, firewalls, security groups) Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204275 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 12, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid-Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self-motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain cloud infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure seamless integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 2+ years experience in building and maintaining distributed systems in cloud environments. Strong experience in building and maintaining distributed systems in cloud environments. Hands-on experience with at least one major public cloud provider (preferably AWS or Azure). Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell, AWS CLI, Flux CLI for automation of operational tasks. Networking including firewall principles, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with cloud-native design patterns. Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of cloud security best practices, including: Identity and Access Management (IAM) Secrets management Network security (VPCs, firewalls, security groups) Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross-functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204275 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
SKY
Lead Cloud Operations Engineer
SKY
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. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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.
Technical Facilities Manager
Myfm Ltd Bristol, Somerset
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
Jan 12, 2026
Full time
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
SKY
Applied Machine Learning Lead
SKY
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
Hunter Dunning Limited
Senior Building Surveyor
Hunter Dunning Limited City, London
Senior Building Surveyor job available, joining a reputable and growing multidisciplinary consultancy in Central London. This role offers the opportunity to work across a strong pipeline of residential and commercial defect and remediation projects, delivering high-quality professional services as part of a dynamic and collaborative team. Offering a salary of up to 72,000 (flexible) plus hybrid working, 26 days holiday, private healthcare, and ongoing progression opportunities. Established over 50 years ago, they are a team of 170 with plans to grow to 250 in the next few years, they operate from 15 offices across the UK and have a Building Surveying team of 65. Offering services across building surveying, commercial property consultancy, civil & structural engineering, cost consultancy, architecture & planning and insurance works. Role & Responsibilities Inspect and provide advice on the design, construction, maintenance, repair, and refurbishment of all types of buildings and sites Acquisition surveys, condition reports, measured surveys and defect investigations Prepare reports and schedules of works Design and oversee works using recognised building contracts and to current technical standards Comply with current regulations with regard to health and safety, party wall, building regulations and planning Support RICS APC candidates if chartered. Required Skills & Experience MRICS or close to achieving is essential Experienced in delivery of both project management and professional services Experienced in defect diagnosis and report writing Insurance repair project experience would be an advantage Experienced in managing multiple projects Understanding of CDM Regulations, Party Wall and the latest building regulations. What you get back Salary Up to 72,000 if Chartered (Up to 70,000 if not yet chartered) Ideally 6+ years' experience post-graduation Up to 10% discretionary bonus 26 days holiday + Bank Holidays + option to buy 5 additional days Hybrid Working 5% matched pension contribution Health Cover 5k Core Critical Illness Life Assurance 3 x Salary Annual corporate social responsibility days. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. See website for full terms & conditions. Senior Building Surveyor Job in Central London - Your Property Recruitment Specialists (Job Ref: (phone number removed
Jan 12, 2026
Full time
Senior Building Surveyor job available, joining a reputable and growing multidisciplinary consultancy in Central London. This role offers the opportunity to work across a strong pipeline of residential and commercial defect and remediation projects, delivering high-quality professional services as part of a dynamic and collaborative team. Offering a salary of up to 72,000 (flexible) plus hybrid working, 26 days holiday, private healthcare, and ongoing progression opportunities. Established over 50 years ago, they are a team of 170 with plans to grow to 250 in the next few years, they operate from 15 offices across the UK and have a Building Surveying team of 65. Offering services across building surveying, commercial property consultancy, civil & structural engineering, cost consultancy, architecture & planning and insurance works. Role & Responsibilities Inspect and provide advice on the design, construction, maintenance, repair, and refurbishment of all types of buildings and sites Acquisition surveys, condition reports, measured surveys and defect investigations Prepare reports and schedules of works Design and oversee works using recognised building contracts and to current technical standards Comply with current regulations with regard to health and safety, party wall, building regulations and planning Support RICS APC candidates if chartered. Required Skills & Experience MRICS or close to achieving is essential Experienced in delivery of both project management and professional services Experienced in defect diagnosis and report writing Insurance repair project experience would be an advantage Experienced in managing multiple projects Understanding of CDM Regulations, Party Wall and the latest building regulations. What you get back Salary Up to 72,000 if Chartered (Up to 70,000 if not yet chartered) Ideally 6+ years' experience post-graduation Up to 10% discretionary bonus 26 days holiday + Bank Holidays + option to buy 5 additional days Hybrid Working 5% matched pension contribution Health Cover 5k Core Critical Illness Life Assurance 3 x Salary Annual corporate social responsibility days. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. See website for full terms & conditions. Senior Building Surveyor Job in Central London - Your Property Recruitment Specialists (Job Ref: (phone number removed
SKY
Machine Learning Team Lead
SKY Romford, Essex
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
3D Personnel Ltd
MAINTENANCE ELECTRICIAN
3D Personnel Ltd
MAINTENANCE ELECTRICIAN DERRY Our client based in the Derry area are in a period of significant growth and due to their continued increased and busy work load they now have a vacancy for a Maintenance Electrician. Key Purpose: Responsible for ensuring site electrical systems and documentation are accurate and compliant with relevant codes, undertaking electrical repairs / maintenance of all site plant and equipment, including electrical breakdowns, fault finding, planned maintenance and electrical inspections/tests. Core Responsibilities Carry out duties and responsibilities in compliance with the Safe System of Work to prevent harm to all personnel and damage to equipment. Responsible for ensuring site electrical systems are compliant as per regulatory standards and relevant codes, and documentation (to include drawings) is accurate and up to date. Accountable for personal time management to ensure delivery of an effective and efficient electrical support service that has the flexibility to meet fluctuating work demands. Committed to continuous improvement and identifying and implementing improved systems of work. Identify actual and potential electrical safety issues to ensure safety standards are maintained and equipment down time / repair costs are kept to a minimum. Prioritise, schedule and conduct planned maintenance tasks on all services, systems, cranes and equipment, coordinating with Original Equipment Manufacturers (OEM) and service contractors where required. Troubleshoot and maintain various electrical systems and equipment, including heavy plant and marine electrical systems. Install, relocate and/or disassemble machinery. Carry out minor electrical installations, for example lighting circuits. Work collaboratively with electrical contractors as required. Provide guidance and mentorship to electrical apprentices, providing on-the-job training, technical guidance and safety instruction. Manage and maintain tools, materials and company vehicles as required to support maintenance activities, including the procurement of parts and equipment to complete repairs. Complete and retain necessary documents ensuring a logical records system is maintained and updated. Provide assistance to other members of the engineering team which will involve working with hydraulics, pneumatics and mechanical systems. Provide emergency electrical breakdown coverage on harbour vessels. Provide out of hours and weekend engineering cover as a member of the engineering team as directed. Log and resolve fault records with 'AssetHQ' asset management software system to ensure comprehensive maintenance tracking and defect resolution. Undertake electrical building maintenance, waste-water system repairs and general electrical tasks as required. Health & Safety, Risk and Compliance Positively contribute to, implement, monitor, and review adherence to safe systems of work. Positively contribute to risk assessments with support from the Environmental Health and Safety Officer. Use appropriate PPE and carry out mental risk assessments when carrying out tasks to ensure the safety of yourself and others. Work safely at heights. Work safely in confined spaces. Identify and report all safety observations to the Environmental Health and Safety Officer as soon as possible. Proactively identify and report any non-compliance of regulations and procedures to the relevant departments as soon as possible. Fully implement any corrective actions/lessons learnt following internal investigations, toolbox talk, safety bulletins and team meetings. Undertake regular training programs as required, including e-learning modules. General Responsibilities Always represent the Organisation in a reputable and professional manner. Follow organisation policies and procedures and adhere to Human Resources, Health and Safety policies and relevant statutory regulations including UK-GDPR. Positively comply with the values of the organisation, demonstrating the behavioural requirements aligned to each value. Contribute to the development of a respectful and mutually supportive working environment consulting with and supporting other departments as appropriate. Undertake other duties within your area of competence as directed. Maintain high standards of personal accountability. Essential Criteria HNC in Electrical Engineering or City & Guilds Level 3 Electro Technical Technology or Level 3 NVQ Electrical Engineering or equivalent qualification. Hold City & Guilds 18th edition Wiring Regulations or hold a previous edition and willing to update. Minimum of three years' experience of completing electrical repairs and maintenance tasks. Ability to carry out electrical repair job assessments (inspections), identifying the repair to be completed and materials required to complete the repair task. Capable of working at height from scaffold platforms, ladders, mechanical equipment, in confined spaces, and both on and off shore. Proficient IT skills to include experience using MS Office including email systems. Full current driving licence or access to a form of transport to enable the post holder to meet the requirements of the post in full. Desirable Criteria Experience of maintenance and repair of mobile harbour cranes. Familiarity with marine electrical systems, ideally gained through hands-on work or similar marine environments. Experience operating industrial machinery, e.g. forklift truck, telehandler, MEWP. Experience using asset management or maintenance software systems. Skilled across electrical, mechanical & hydraulic systems. Permanent Role; Monday to Friday 8:00am to 4:00pm, 37.5 hours per week plus overtime Salary competitive - 39,862 Ref - VAC-13202
Jan 12, 2026
Full time
MAINTENANCE ELECTRICIAN DERRY Our client based in the Derry area are in a period of significant growth and due to their continued increased and busy work load they now have a vacancy for a Maintenance Electrician. Key Purpose: Responsible for ensuring site electrical systems and documentation are accurate and compliant with relevant codes, undertaking electrical repairs / maintenance of all site plant and equipment, including electrical breakdowns, fault finding, planned maintenance and electrical inspections/tests. Core Responsibilities Carry out duties and responsibilities in compliance with the Safe System of Work to prevent harm to all personnel and damage to equipment. Responsible for ensuring site electrical systems are compliant as per regulatory standards and relevant codes, and documentation (to include drawings) is accurate and up to date. Accountable for personal time management to ensure delivery of an effective and efficient electrical support service that has the flexibility to meet fluctuating work demands. Committed to continuous improvement and identifying and implementing improved systems of work. Identify actual and potential electrical safety issues to ensure safety standards are maintained and equipment down time / repair costs are kept to a minimum. Prioritise, schedule and conduct planned maintenance tasks on all services, systems, cranes and equipment, coordinating with Original Equipment Manufacturers (OEM) and service contractors where required. Troubleshoot and maintain various electrical systems and equipment, including heavy plant and marine electrical systems. Install, relocate and/or disassemble machinery. Carry out minor electrical installations, for example lighting circuits. Work collaboratively with electrical contractors as required. Provide guidance and mentorship to electrical apprentices, providing on-the-job training, technical guidance and safety instruction. Manage and maintain tools, materials and company vehicles as required to support maintenance activities, including the procurement of parts and equipment to complete repairs. Complete and retain necessary documents ensuring a logical records system is maintained and updated. Provide assistance to other members of the engineering team which will involve working with hydraulics, pneumatics and mechanical systems. Provide emergency electrical breakdown coverage on harbour vessels. Provide out of hours and weekend engineering cover as a member of the engineering team as directed. Log and resolve fault records with 'AssetHQ' asset management software system to ensure comprehensive maintenance tracking and defect resolution. Undertake electrical building maintenance, waste-water system repairs and general electrical tasks as required. Health & Safety, Risk and Compliance Positively contribute to, implement, monitor, and review adherence to safe systems of work. Positively contribute to risk assessments with support from the Environmental Health and Safety Officer. Use appropriate PPE and carry out mental risk assessments when carrying out tasks to ensure the safety of yourself and others. Work safely at heights. Work safely in confined spaces. Identify and report all safety observations to the Environmental Health and Safety Officer as soon as possible. Proactively identify and report any non-compliance of regulations and procedures to the relevant departments as soon as possible. Fully implement any corrective actions/lessons learnt following internal investigations, toolbox talk, safety bulletins and team meetings. Undertake regular training programs as required, including e-learning modules. General Responsibilities Always represent the Organisation in a reputable and professional manner. Follow organisation policies and procedures and adhere to Human Resources, Health and Safety policies and relevant statutory regulations including UK-GDPR. Positively comply with the values of the organisation, demonstrating the behavioural requirements aligned to each value. Contribute to the development of a respectful and mutually supportive working environment consulting with and supporting other departments as appropriate. Undertake other duties within your area of competence as directed. Maintain high standards of personal accountability. Essential Criteria HNC in Electrical Engineering or City & Guilds Level 3 Electro Technical Technology or Level 3 NVQ Electrical Engineering or equivalent qualification. Hold City & Guilds 18th edition Wiring Regulations or hold a previous edition and willing to update. Minimum of three years' experience of completing electrical repairs and maintenance tasks. Ability to carry out electrical repair job assessments (inspections), identifying the repair to be completed and materials required to complete the repair task. Capable of working at height from scaffold platforms, ladders, mechanical equipment, in confined spaces, and both on and off shore. Proficient IT skills to include experience using MS Office including email systems. Full current driving licence or access to a form of transport to enable the post holder to meet the requirements of the post in full. Desirable Criteria Experience of maintenance and repair of mobile harbour cranes. Familiarity with marine electrical systems, ideally gained through hands-on work or similar marine environments. Experience operating industrial machinery, e.g. forklift truck, telehandler, MEWP. Experience using asset management or maintenance software systems. Skilled across electrical, mechanical & hydraulic systems. Permanent Role; Monday to Friday 8:00am to 4:00pm, 37.5 hours per week plus overtime Salary competitive - 39,862 Ref - VAC-13202
SKY
ML Tech Lead
SKY Grays, Essex
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.
SKY
ML Tech Lead
SKY Edmonton, Cornwall
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 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.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do 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 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.

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