We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Title: Principal Planning Officer Contract: 5 months Location: London, UK (Hybrid - 3 days in office) Role type: Full time Contract (Monday to Friday) Job Purpose To lead and supervise a team of planning and enforcement officers within the Development Management service, managing a diverse caseload of planning applications including major and strategic developments. The postholder will research, assess and report on the full range of planning applications and enforcement matters under the Planning Acts and associated legislation. The role includes preparing appeal statements, representing the Council at inquiries and hearings, presenting at Planning Committee, negotiating complex development proposals (including Section 106 agreements), and deputising for the Team Leader where required. Key Responsibilities Leadership & Team Supervision Supervise, mentor and provide professional guidance to planning and enforcement officers. Allocate and monitor workload across the team. Support officer development, training and performance management. Deputise for the Team Leader in their absence, including authorising reports and recommendations. Development Management & Casework Manage a varied caseload of planning applications, including major and strategic developments. Assess development proposals through site visits, policy appraisal and consultation responses. Draft high-quality, robust reports with clear and defensible recommendations. Negotiate complex applications, including securing financial contributions through legal agreements (e.g. Section 106). Validate planning applications and ensure statutory requirements are met. Maintain accurate records of site visits, meetings and decisions. Planning Enforcement Investigate alleged breaches of planning control. Lead and authorise formal enforcement action where appropriate. Instruct planning solicitors on enforcement and related matters. Prepare and present cases for prosecution where necessary. Appeals & Representation Prepare appeal statements, proofs of evidence and witness statements. Represent the Council at public inquiries, hearings and court proceedings. Present reports and respond to questions at Planning Committee. Attend pre-committee briefings and stakeholder meetings. Stakeholder Engagement & Customer Service Provide professional advice to applicants, agents, members, residents and other stakeholders. Advise on planning policy, likelihood of consent and scheme amendments. Represent the Development Management service at cross-departmental and external meetings. Contribute to maintaining high standards of customer service. Service Development Contribute to service improvement initiatives and change programmes. Lead or participate in working groups aimed at continuous improvement. Manage external consultancy commissions (typically up to 25,000), overseeing quality and delivery. Qualifications & Professional Requirements Degree in Town Planning or equivalent relevant qualification. Eligibility for membership of the Royal Town Planning Institute (RTPI). Evidence of ongoing Continuing Professional Development (CPD). Essential Experience Significant experience in Development Management, including planning enforcement. Experience managing major or complex planning applications. Proven experience presenting reports at Planning Committee. Excellent working knowledge of current planning legislation and policy. Experience negotiating Section 106 agreements. Experience preparing appeal statements and representing cases at hearings or inquiries. Some knowledge of historic buildings and conservation areas. Skills & Competencies Strong analytical and decision-making skills. Excellent written communication, with the ability to produce concise and persuasive reports. Confident public speaker with the ability to present complex matters clearly. Ability to manage competing priorities and meet tight deadlines. Leadership capability and ability to motivate and support colleagues. Strong negotiation and stakeholder management skills. Methodical approach to detailed and procedural work. High level of IT literacy. What happens next? Your application and CV will be carefully reviewed by the recruitment team managing this position. If your experience matches the role requirements, we will contact you within 48 hours to discuss the opportunity and outline the next steps. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Mar 18, 2026
Contractor
Title: Principal Planning Officer Contract: 5 months Location: London, UK (Hybrid - 3 days in office) Role type: Full time Contract (Monday to Friday) Job Purpose To lead and supervise a team of planning and enforcement officers within the Development Management service, managing a diverse caseload of planning applications including major and strategic developments. The postholder will research, assess and report on the full range of planning applications and enforcement matters under the Planning Acts and associated legislation. The role includes preparing appeal statements, representing the Council at inquiries and hearings, presenting at Planning Committee, negotiating complex development proposals (including Section 106 agreements), and deputising for the Team Leader where required. Key Responsibilities Leadership & Team Supervision Supervise, mentor and provide professional guidance to planning and enforcement officers. Allocate and monitor workload across the team. Support officer development, training and performance management. Deputise for the Team Leader in their absence, including authorising reports and recommendations. Development Management & Casework Manage a varied caseload of planning applications, including major and strategic developments. Assess development proposals through site visits, policy appraisal and consultation responses. Draft high-quality, robust reports with clear and defensible recommendations. Negotiate complex applications, including securing financial contributions through legal agreements (e.g. Section 106). Validate planning applications and ensure statutory requirements are met. Maintain accurate records of site visits, meetings and decisions. Planning Enforcement Investigate alleged breaches of planning control. Lead and authorise formal enforcement action where appropriate. Instruct planning solicitors on enforcement and related matters. Prepare and present cases for prosecution where necessary. Appeals & Representation Prepare appeal statements, proofs of evidence and witness statements. Represent the Council at public inquiries, hearings and court proceedings. Present reports and respond to questions at Planning Committee. Attend pre-committee briefings and stakeholder meetings. Stakeholder Engagement & Customer Service Provide professional advice to applicants, agents, members, residents and other stakeholders. Advise on planning policy, likelihood of consent and scheme amendments. Represent the Development Management service at cross-departmental and external meetings. Contribute to maintaining high standards of customer service. Service Development Contribute to service improvement initiatives and change programmes. Lead or participate in working groups aimed at continuous improvement. Manage external consultancy commissions (typically up to 25,000), overseeing quality and delivery. Qualifications & Professional Requirements Degree in Town Planning or equivalent relevant qualification. Eligibility for membership of the Royal Town Planning Institute (RTPI). Evidence of ongoing Continuing Professional Development (CPD). Essential Experience Significant experience in Development Management, including planning enforcement. Experience managing major or complex planning applications. Proven experience presenting reports at Planning Committee. Excellent working knowledge of current planning legislation and policy. Experience negotiating Section 106 agreements. Experience preparing appeal statements and representing cases at hearings or inquiries. Some knowledge of historic buildings and conservation areas. Skills & Competencies Strong analytical and decision-making skills. Excellent written communication, with the ability to produce concise and persuasive reports. Confident public speaker with the ability to present complex matters clearly. Ability to manage competing priorities and meet tight deadlines. Leadership capability and ability to motivate and support colleagues. Strong negotiation and stakeholder management skills. Methodical approach to detailed and procedural work. High level of IT literacy. What happens next? Your application and CV will be carefully reviewed by the recruitment team managing this position. If your experience matches the role requirements, we will contact you within 48 hours to discuss the opportunity and outline the next steps. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lift & Escalator Engineering Consultant Location: London / Sussex UK (with occasional travel) About the Company We are working with a highly respected independent engineering consultancy specialising in the vertical transportation of people and goods, including lifts, escalators, and specialist transportation systems. The company has built a strong reputation across the industry for delivering independent technical expertise, innovative solutions, and trusted advice to developers, property owners, consultants and facilities managers across the UK and internationally. The business is led by one of the most reputable and respected figures within the lift and escalator sector. The company prides itself on maintaining exceptionally high professional standards and fostering an environment where talented engineers can build long-term careers. This is an opportunity to join a consultancy that values expertise, invests in its people, and offers the right individual the chance to progress through the ranks and develop a lasting career within the industry . The Role Due to continued growth, our client is seeking a Lift & Escalator Consulting Engineer to join its expanding team. This role would suit an experienced lift industry professional looking to broaden their career within consultancy. The position involves providing independent technical advice, carrying out site surveys and audits, supporting project work, and liaising with clients and contractors. For the right individual, this role offers genuine career progression , with opportunities to grow into senior consultancy and leadership positions within the business. Key Responsibilities Carry out site inspections, surveys and technical assessments of lift and escalator installations Conduct maintenance audits and performance reviews of vertical transportation systems Review LOLER inspection reports and statutory documentation Provide technical advice on maintenance strategies, upgrades and modernisation projects Prepare technical reports, specifications and consultancy documentation Attend and run client meetings , ensuring clear communication and accurate minutes Liaise with clients, contractors, maintenance providers and project teams Assist in the management and delivery of consultancy projects Ensure compliance with current legislation, safety regulations and relevant industry standards Candidate Requirements Minimum 5 years experience in the lift and escalator industry to at least technician level (If only lift experience is held, escalator training will be provided) Minimum HNC in Lift, Mechanical or Electrical Engineering (Degree level or above preferred) Preferably IEng or CEng registered with the Engineering Council (ECUK) If not currently registered, a willingness to work towards this status Preferably a Fellow of a Professional Engineering Institution (PEI) Alternatively Associate Member or Member with a willingness to progress to Fellow status Sound knowledge of legislation and standards applicable to lifts and escalators Computer literate , particularly with Microsoft Office products Good interpersonal and communication skills Ability to run meetings and accurately record minutes A proactive attitude with a willingness to learn and develop The ability to recognise when support is required and ask for guidance Willingness to travel occasionally (sporadic and dependent on project workload) Salary & Benefits Salary depending on experience Car allowance Additional benefits package Professional development support Assistance towards professional accreditation and career progression Career Opportunity This role offers more than just a job. They are committed to supporting engineers who demonstrate dedication, professionalism and ambition. The right person will be supported in developing their expertise and progressing within the consultancy, building a long-term career with a highly respected organisation in the lift and escalator industry .
Mar 18, 2026
Full time
Lift & Escalator Engineering Consultant Location: London / Sussex UK (with occasional travel) About the Company We are working with a highly respected independent engineering consultancy specialising in the vertical transportation of people and goods, including lifts, escalators, and specialist transportation systems. The company has built a strong reputation across the industry for delivering independent technical expertise, innovative solutions, and trusted advice to developers, property owners, consultants and facilities managers across the UK and internationally. The business is led by one of the most reputable and respected figures within the lift and escalator sector. The company prides itself on maintaining exceptionally high professional standards and fostering an environment where talented engineers can build long-term careers. This is an opportunity to join a consultancy that values expertise, invests in its people, and offers the right individual the chance to progress through the ranks and develop a lasting career within the industry . The Role Due to continued growth, our client is seeking a Lift & Escalator Consulting Engineer to join its expanding team. This role would suit an experienced lift industry professional looking to broaden their career within consultancy. The position involves providing independent technical advice, carrying out site surveys and audits, supporting project work, and liaising with clients and contractors. For the right individual, this role offers genuine career progression , with opportunities to grow into senior consultancy and leadership positions within the business. Key Responsibilities Carry out site inspections, surveys and technical assessments of lift and escalator installations Conduct maintenance audits and performance reviews of vertical transportation systems Review LOLER inspection reports and statutory documentation Provide technical advice on maintenance strategies, upgrades and modernisation projects Prepare technical reports, specifications and consultancy documentation Attend and run client meetings , ensuring clear communication and accurate minutes Liaise with clients, contractors, maintenance providers and project teams Assist in the management and delivery of consultancy projects Ensure compliance with current legislation, safety regulations and relevant industry standards Candidate Requirements Minimum 5 years experience in the lift and escalator industry to at least technician level (If only lift experience is held, escalator training will be provided) Minimum HNC in Lift, Mechanical or Electrical Engineering (Degree level or above preferred) Preferably IEng or CEng registered with the Engineering Council (ECUK) If not currently registered, a willingness to work towards this status Preferably a Fellow of a Professional Engineering Institution (PEI) Alternatively Associate Member or Member with a willingness to progress to Fellow status Sound knowledge of legislation and standards applicable to lifts and escalators Computer literate , particularly with Microsoft Office products Good interpersonal and communication skills Ability to run meetings and accurately record minutes A proactive attitude with a willingness to learn and develop The ability to recognise when support is required and ask for guidance Willingness to travel occasionally (sporadic and dependent on project workload) Salary & Benefits Salary depending on experience Car allowance Additional benefits package Professional development support Assistance towards professional accreditation and career progression Career Opportunity This role offers more than just a job. They are committed to supporting engineers who demonstrate dedication, professionalism and ambition. The right person will be supported in developing their expertise and progressing within the consultancy, building a long-term career with a highly respected organisation in the lift and escalator industry .
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Philanthropy manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type : 12-month fixed term contract - maternity cover Full time : 37.5 hours per week Salary: £36,000 - £42,000 depending on experience Benefits : We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Sunday 29 March 2026 Telephone interviews will be held week commencing 30 March and in-person interviews will be held in Peterborough week commencing 6 April 2026 No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. This is an exciting opportunity for anyone who thrives in a fast paced, ambitious environment. We want to prevent kidney disease from becoming a public health emergency and find better treatments for kidney patients sooner. We are looking for a talented philanthropy manager who will be responsible for a portfolio of prospects and donors to build long lasting and highly engaged relationships. Working closely with the head of philanthropy and the major appeals manager you will play a key role in growing our income from major donors over the next 3-5 years by building a pipeline of new and existing donors and securing five and six-figure gifts. This external facing role will manage our mid to high value prospects and donors and you will build personal relationships though understanding donor motivations, delivering tailored funding proposals and communications, and creating a bespoke donor journey with the aim of increasing their giving and connection to the cause. We operate a hybrid, flexible working style and regular weekly office attendance is encouraged. The role is contracted to our Peterborough office. You will also be required to regularly attend external meetings and events. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person - the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: Philanthropy Manager, Partnerships Manager, Head of Philanthropy, Head of Partnerships, Fundraiser, Senior Fundraising Officer, Fundraising Manager, Head of Fundraising, Major Gifts, Corporate Partnerships, Business Development Manager, Charity, Charities, Third Sector, NFP, Not for Profit, etc. REF-
Mar 18, 2026
Full time
Philanthropy manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type : 12-month fixed term contract - maternity cover Full time : 37.5 hours per week Salary: £36,000 - £42,000 depending on experience Benefits : We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Sunday 29 March 2026 Telephone interviews will be held week commencing 30 March and in-person interviews will be held in Peterborough week commencing 6 April 2026 No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. This is an exciting opportunity for anyone who thrives in a fast paced, ambitious environment. We want to prevent kidney disease from becoming a public health emergency and find better treatments for kidney patients sooner. We are looking for a talented philanthropy manager who will be responsible for a portfolio of prospects and donors to build long lasting and highly engaged relationships. Working closely with the head of philanthropy and the major appeals manager you will play a key role in growing our income from major donors over the next 3-5 years by building a pipeline of new and existing donors and securing five and six-figure gifts. This external facing role will manage our mid to high value prospects and donors and you will build personal relationships though understanding donor motivations, delivering tailored funding proposals and communications, and creating a bespoke donor journey with the aim of increasing their giving and connection to the cause. We operate a hybrid, flexible working style and regular weekly office attendance is encouraged. The role is contracted to our Peterborough office. You will also be required to regularly attend external meetings and events. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person - the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: Philanthropy Manager, Partnerships Manager, Head of Philanthropy, Head of Partnerships, Fundraiser, Senior Fundraising Officer, Fundraising Manager, Head of Fundraising, Major Gifts, Corporate Partnerships, Business Development Manager, Charity, Charities, Third Sector, NFP, Not for Profit, etc. REF-
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Paul Card Recruitment are delighted to be working exclusively with Alliance Psychological Services on the appointment of a Finance Manager at an exciting stage in their growth. Alliance Psychological Services are a well-established, values-led organisation with an excellent reputation across the region. They deliver vital psychological and wellbeing support services, helping to change lives and support individuals, families and communities every day. This is a business built around doing the right thing and making a real impact. They have experienced significant growth in recent years and have clear, ambitious plans for the future, making this an exciting time to join. What makes this opportunity stand out is the culture. Alliance offer genuine flexibility, autonomy and trust. This is a business that operates a true give and take approach, where people are treated like adults and supported to do their best work. There is a strong focus on outcomes rather than clock watching, with flexible start and finish times to suit individual circumstances. The role operates within a highly flexible hybrid model, allowing a significant amount of home working alongside meaningful time in the office for collaboration and connection. They understand that life does not always fit neatly around a traditional working week and actively support flexible working arrangements. Whether that is adjusting hours around family commitments, appointments or personal priorities, the leadership team work with their people to create arrangements that are sustainable and mutually beneficial. This is a fantastic opportunity for a forward-thinking, organised and hands on Finance Manager who wants to work for a purpose driven organisation and play a key role in supporting services that truly change lives. The Role This is the number one finance position within the organisation, reporting directly to the Managing Director and working closely with other Directors across the business. You will take full responsibility for leading the finance function, ensuring robust controls, accurate reporting and meaningful financial insight to support decision making. Key elements include: Overseeing day-to-day financial operations Budgeting, forecasting and financial reporting Providing strategic input to the Managing Director and wider leadership team Supporting and developing the existing finance team Liaising with the external accountancy firm Managing relationships with auditors and external stakeholders Driving process improvements and efficiencies This is a visible role within the business and will suit someone confident influencing at senior level. About You ACA, ACCA or CIMA qualified, or strong qualified by experience Commercially aware, proactive and confident in your approach Strong communicator, able to challenge constructively Forward thinking, organised and hands on Looking for a long term opportunity within a growing organisation Experience within contract driven or public sector environments would be advantageous Benefits In return, you'll be joining an organisation that genuinely values its people and offers an excellent package, including 30 days holiday, generous sick pay and a highly flexible hybrid model. You'll benefit from the ability to work from home for a significant portion of the week, alongside flexible hours that allow you to structure your working day in a way that works for you and the business. You'll also benefit from half days for your birthday and Christmas shopping, alongside additional wellbeing focused perks. If you're looking for a role where you can genuinely make an impact, within a supportive and progressive organisation, we'd love to speak with you. Click 'Apply' now.
Mar 18, 2026
Full time
Paul Card Recruitment are delighted to be working exclusively with Alliance Psychological Services on the appointment of a Finance Manager at an exciting stage in their growth. Alliance Psychological Services are a well-established, values-led organisation with an excellent reputation across the region. They deliver vital psychological and wellbeing support services, helping to change lives and support individuals, families and communities every day. This is a business built around doing the right thing and making a real impact. They have experienced significant growth in recent years and have clear, ambitious plans for the future, making this an exciting time to join. What makes this opportunity stand out is the culture. Alliance offer genuine flexibility, autonomy and trust. This is a business that operates a true give and take approach, where people are treated like adults and supported to do their best work. There is a strong focus on outcomes rather than clock watching, with flexible start and finish times to suit individual circumstances. The role operates within a highly flexible hybrid model, allowing a significant amount of home working alongside meaningful time in the office for collaboration and connection. They understand that life does not always fit neatly around a traditional working week and actively support flexible working arrangements. Whether that is adjusting hours around family commitments, appointments or personal priorities, the leadership team work with their people to create arrangements that are sustainable and mutually beneficial. This is a fantastic opportunity for a forward-thinking, organised and hands on Finance Manager who wants to work for a purpose driven organisation and play a key role in supporting services that truly change lives. The Role This is the number one finance position within the organisation, reporting directly to the Managing Director and working closely with other Directors across the business. You will take full responsibility for leading the finance function, ensuring robust controls, accurate reporting and meaningful financial insight to support decision making. Key elements include: Overseeing day-to-day financial operations Budgeting, forecasting and financial reporting Providing strategic input to the Managing Director and wider leadership team Supporting and developing the existing finance team Liaising with the external accountancy firm Managing relationships with auditors and external stakeholders Driving process improvements and efficiencies This is a visible role within the business and will suit someone confident influencing at senior level. About You ACA, ACCA or CIMA qualified, or strong qualified by experience Commercially aware, proactive and confident in your approach Strong communicator, able to challenge constructively Forward thinking, organised and hands on Looking for a long term opportunity within a growing organisation Experience within contract driven or public sector environments would be advantageous Benefits In return, you'll be joining an organisation that genuinely values its people and offers an excellent package, including 30 days holiday, generous sick pay and a highly flexible hybrid model. You'll benefit from the ability to work from home for a significant portion of the week, alongside flexible hours that allow you to structure your working day in a way that works for you and the business. You'll also benefit from half days for your birthday and Christmas shopping, alongside additional wellbeing focused perks. If you're looking for a role where you can genuinely make an impact, within a supportive and progressive organisation, we'd love to speak with you. Click 'Apply' now.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Role: Finance Systems Manager Salary: £46,000 - £56,500 Location: Birmingham (Hybrid 2 Days In-Office Weekly) Network IT are supporting a large and complex organisation seeking a Finance Systems Manager. This will be a fantastic opportunity for someone with foundational experience administering Finance systems who are now looking to step up, become the sole owner of the organisations Finance system,
Mar 18, 2026
Full time
Role: Finance Systems Manager Salary: £46,000 - £56,500 Location: Birmingham (Hybrid 2 Days In-Office Weekly) Network IT are supporting a large and complex organisation seeking a Finance Systems Manager. This will be a fantastic opportunity for someone with foundational experience administering Finance systems who are now looking to step up, become the sole owner of the organisations Finance system,
Job Title: Assistant Financial Manager (HEO) Pay Rate: £18.72 per hour (weekly pay) Start Date: ASAP End Date: 31 July 2026 Hours: General office hours with some flexibility Location: Bishopsgate House, Feethams, Darlington, Durham, DL1 5QE About the Role Brook Street, on behalf of the Department for Education, is seeking an experienced Assistant Financial Manager to join the team on a temporary ba click apply for full job details
Mar 18, 2026
Seasonal
Job Title: Assistant Financial Manager (HEO) Pay Rate: £18.72 per hour (weekly pay) Start Date: ASAP End Date: 31 July 2026 Hours: General office hours with some flexibility Location: Bishopsgate House, Feethams, Darlington, Durham, DL1 5QE About the Role Brook Street, on behalf of the Department for Education, is seeking an experienced Assistant Financial Manager to join the team on a temporary ba click apply for full job details
The Royal Albert Hall is recruiting for an enthusiastic and experienced Box Office Systems specialist to join our Ticketing team. The Box Office Systems Coordinator is a new role within the box office. They will work very closely with the Ticketing Manager (Financial Reconciliation). Day to day they will work with this role holder in ensuring a timely delivery of settlements and cover this role when they are on holiday. They will also act as first point of contact for resolving ticketing-related issues, maintaining accurate records and support the overall ticketing process. They will also assist in testing new Web development and Tessitura versions (as required). We are looking for someone with experience of Tessitura or an understanding of alternative ticketing systems. They will be able to work in a fast-paced environment and be able to organise and prioritise their workload. We are looking for a strong communicator with attention to detail with the ability to adapt to new technology, with good problem solving and analytical skills. This is an exciting opportunity for individuals wishing to further their career in the Ticketing sector at a world-class venue. Please click the apply button for more information about this role and to apply. The closing date for all applications is 12pm on Monday 23rd March 2026. Applicants must be available for a first interview on the week commencing 13th April 2026. The Royal Albert Hall is committed to creating a diverse and inclusive environment in which everyone can thrive. We encourage candidates from all cultures and backgrounds to apply.
Mar 18, 2026
Full time
The Royal Albert Hall is recruiting for an enthusiastic and experienced Box Office Systems specialist to join our Ticketing team. The Box Office Systems Coordinator is a new role within the box office. They will work very closely with the Ticketing Manager (Financial Reconciliation). Day to day they will work with this role holder in ensuring a timely delivery of settlements and cover this role when they are on holiday. They will also act as first point of contact for resolving ticketing-related issues, maintaining accurate records and support the overall ticketing process. They will also assist in testing new Web development and Tessitura versions (as required). We are looking for someone with experience of Tessitura or an understanding of alternative ticketing systems. They will be able to work in a fast-paced environment and be able to organise and prioritise their workload. We are looking for a strong communicator with attention to detail with the ability to adapt to new technology, with good problem solving and analytical skills. This is an exciting opportunity for individuals wishing to further their career in the Ticketing sector at a world-class venue. Please click the apply button for more information about this role and to apply. The closing date for all applications is 12pm on Monday 23rd March 2026. Applicants must be available for a first interview on the week commencing 13th April 2026. The Royal Albert Hall is committed to creating a diverse and inclusive environment in which everyone can thrive. We encourage candidates from all cultures and backgrounds to apply.
The Product Marketing Manager - Saas role focuses on developing and executing GTM strategies to promote products effectively. This position is ideal for candidates with a strong understanding of marketing practices and product positioning from a Tech / Saas background. Client Details The company is an SME Saas provider in central Manchester, providing software solutions to mainly public sector customers. They are based in an accessible central Manchester location, offering hybrid working. Description The key responsibilities for the Product Marketing Manager - Saas role will include: Develop and implement product marketing strategies to support business objectives. Act as the 'stand-in' Head of Department when required. Collaborate with cross-functional teams to align marketing efforts with product development. Create and manage marketing campaigns to drive product awareness and sales. Conduct market research to identify trends, customer needs, and opportunities for growth. Craft compelling product messaging and positioning to differentiate offerings in the Technology market. Analyse campaign performance and provide actionable insights to improve outcomes. Support the sales team with marketing materials and product knowledge. Stay updated on industry developments to ensure competitive positioning. Profile A successful Product Marketing Manager should have: Proven experience in a Product Marketing Manager, or Marketing Management role within Saas, IT, Technology. 5+ years experience in Marketing. Experience in line management, or team leading / mentoring colleagues. Demonstrable record of launching new products to UK markets. Strong understanding of GTM strategies within the tech sector. Strong understanding of product positioning and branding strategies. Proficiency in analysing market trends and customer insights, and able to translate data into actionable insights. Excellent communication and collaboration skills. Ability to manage multiple projects and meet deadlines effectively. Knowledge of digital marketing tools and analytics platforms. A degree in marketing, business, or a related field is preferred. Job Offer On offer for the Product Marketing Manager - Saas role: A competitive salary up to 60,000 per annum. Hybid Working - 3 days in office, 2 from home. Opportunities for professional growth and development within the Technology industry. A collaborative and innovative work environment. Comprehensive benefits package to support work-life balance. This is a fantastic opportunity for a Product Marketing Manager to make a meaningful impact. If you are ready to take the next step in your career, apply today!
Mar 18, 2026
Full time
The Product Marketing Manager - Saas role focuses on developing and executing GTM strategies to promote products effectively. This position is ideal for candidates with a strong understanding of marketing practices and product positioning from a Tech / Saas background. Client Details The company is an SME Saas provider in central Manchester, providing software solutions to mainly public sector customers. They are based in an accessible central Manchester location, offering hybrid working. Description The key responsibilities for the Product Marketing Manager - Saas role will include: Develop and implement product marketing strategies to support business objectives. Act as the 'stand-in' Head of Department when required. Collaborate with cross-functional teams to align marketing efforts with product development. Create and manage marketing campaigns to drive product awareness and sales. Conduct market research to identify trends, customer needs, and opportunities for growth. Craft compelling product messaging and positioning to differentiate offerings in the Technology market. Analyse campaign performance and provide actionable insights to improve outcomes. Support the sales team with marketing materials and product knowledge. Stay updated on industry developments to ensure competitive positioning. Profile A successful Product Marketing Manager should have: Proven experience in a Product Marketing Manager, or Marketing Management role within Saas, IT, Technology. 5+ years experience in Marketing. Experience in line management, or team leading / mentoring colleagues. Demonstrable record of launching new products to UK markets. Strong understanding of GTM strategies within the tech sector. Strong understanding of product positioning and branding strategies. Proficiency in analysing market trends and customer insights, and able to translate data into actionable insights. Excellent communication and collaboration skills. Ability to manage multiple projects and meet deadlines effectively. Knowledge of digital marketing tools and analytics platforms. A degree in marketing, business, or a related field is preferred. Job Offer On offer for the Product Marketing Manager - Saas role: A competitive salary up to 60,000 per annum. Hybid Working - 3 days in office, 2 from home. Opportunities for professional growth and development within the Technology industry. A collaborative and innovative work environment. Comprehensive benefits package to support work-life balance. This is a fantastic opportunity for a Product Marketing Manager to make a meaningful impact. If you are ready to take the next step in your career, apply today!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Are you an experienced Sales Administrator or Customer Service professional looking for your next step? We're recruiting for a Sales & Customer Service Coordinator to join a well-established manufacturing business. This is a varied role that combines customer care, order management and stock control. You will play a key role in ensuring customer orders are processed accurately and delivered on time. Working closely with colleagues across finance, production, and logistics, you'll take ownership of order-to-delivery processes and maintain excellent relationships with customers. Your responsibilities will include: Receiving and reviewing customer orders, tracking progress and invoicing accurately. Coordinating with internal teams to ensure on-time customer deliveries. Raising credit notes and resolving customer queries or complaints. Managing export processes and related invoicing. Maintaining accurate customer and sales records, ensuring ERP and supplier systems integrate smoothly. Liaising with the Production Manager to monitor stock levels. We're looking for someone with: Ideally experience in a manufacturing, supply chain, or distribution environment. Strong attention to detail, organisation, and multitasking skills. Proficiency in CRM &/or ERP and MS Office. Excellent communication and relationship management skills. The ability to manage your own workload, meet deadlines, and remain calm under pressure.
Mar 18, 2026
Full time
Are you an experienced Sales Administrator or Customer Service professional looking for your next step? We're recruiting for a Sales & Customer Service Coordinator to join a well-established manufacturing business. This is a varied role that combines customer care, order management and stock control. You will play a key role in ensuring customer orders are processed accurately and delivered on time. Working closely with colleagues across finance, production, and logistics, you'll take ownership of order-to-delivery processes and maintain excellent relationships with customers. Your responsibilities will include: Receiving and reviewing customer orders, tracking progress and invoicing accurately. Coordinating with internal teams to ensure on-time customer deliveries. Raising credit notes and resolving customer queries or complaints. Managing export processes and related invoicing. Maintaining accurate customer and sales records, ensuring ERP and supplier systems integrate smoothly. Liaising with the Production Manager to monitor stock levels. We're looking for someone with: Ideally experience in a manufacturing, supply chain, or distribution environment. Strong attention to detail, organisation, and multitasking skills. Proficiency in CRM &/or ERP and MS Office. Excellent communication and relationship management skills. The ability to manage your own workload, meet deadlines, and remain calm under pressure.
EUC Analyst DGH Recruitment are currently recruiting on behalf of a leading client in the professional services industry who require a EUC Analyst to join the firm in London. You will be responsible for delivering a secure, reliable, and high-quality end-user computing environment across the firm including managing desktop technologies, endpoint management platforms, software deployment, collaboration tools, and user device lifecycle management. Please note this will be a hybrid role with 2 days a week required in the office. Key Responsibilities: Manage and maintain all aspects of the end-user computing environment including Windows desktops/laptops, mobile devices, and peripheral hardware. Administer and optimise Microsoft Intune / Endpoint Manager, ensuring secure and efficient device management, compliance, and software deployment. Manage desktop application packaging, testing, rollout, and version control in line with the firm's change management processes. Support the Office 365 suite, including Teams, OneDrive and SharePoint, ensuring applications meet business needs and operate smoothly for end-users. Work with the IT Security and Systems teams to ensure endpoint security tooling is effective, maintained, and monitored. Lead on Windows OS builds, OS upgrades, autopilot configuration, and general image management using modern cloud-based deployment methods. Key Skills: Microsoft Intune / Endpoint Manager administration. Build deployment using Microsoft Autopilot. Advanced knowledge of Windows 11 operating systems. Microsoft 365 administration including Teams, OneDrive, SharePoint, Exchange Online. Experience in application packaging (SCCM, Intune Win32 apps, Patch My PC or similar). Endpoint security management (Defender for Endpoint, AV/EDR tools, BitLocker and WDAC (App Control for Business . PowerShell scripting for automation and administration. Mobile Device Management (MDM) for iOS/Android. Experience supporting a 600+ user enterprise environment. Familiarity with ITIL-aligned processes. Experience with identity management technologies such as AAD, Conditional Access, MFA. EUC Analyst In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Mar 18, 2026
Full time
EUC Analyst DGH Recruitment are currently recruiting on behalf of a leading client in the professional services industry who require a EUC Analyst to join the firm in London. You will be responsible for delivering a secure, reliable, and high-quality end-user computing environment across the firm including managing desktop technologies, endpoint management platforms, software deployment, collaboration tools, and user device lifecycle management. Please note this will be a hybrid role with 2 days a week required in the office. Key Responsibilities: Manage and maintain all aspects of the end-user computing environment including Windows desktops/laptops, mobile devices, and peripheral hardware. Administer and optimise Microsoft Intune / Endpoint Manager, ensuring secure and efficient device management, compliance, and software deployment. Manage desktop application packaging, testing, rollout, and version control in line with the firm's change management processes. Support the Office 365 suite, including Teams, OneDrive and SharePoint, ensuring applications meet business needs and operate smoothly for end-users. Work with the IT Security and Systems teams to ensure endpoint security tooling is effective, maintained, and monitored. Lead on Windows OS builds, OS upgrades, autopilot configuration, and general image management using modern cloud-based deployment methods. Key Skills: Microsoft Intune / Endpoint Manager administration. Build deployment using Microsoft Autopilot. Advanced knowledge of Windows 11 operating systems. Microsoft 365 administration including Teams, OneDrive, SharePoint, Exchange Online. Experience in application packaging (SCCM, Intune Win32 apps, Patch My PC or similar). Endpoint security management (Defender for Endpoint, AV/EDR tools, BitLocker and WDAC (App Control for Business . PowerShell scripting for automation and administration. Mobile Device Management (MDM) for iOS/Android. Experience supporting a 600+ user enterprise environment. Familiarity with ITIL-aligned processes. Experience with identity management technologies such as AAD, Conditional Access, MFA. EUC Analyst In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
One of the regions leading Property Consultancies is actively recruiting an Assistant Project Manager to be based in Bristol. THE COMPANY The client is an independent, privately owned Consultancy with a network of offices across Exeter, Bristol, London and Birmingham. They have a great reputation in the market and are working on some regions largest developments. Projects can range from Public to Private sector and include Residential, Commercial, Education and Health. Values currently range from £500k to £50 million so a fantastic range and size of projects. THE POSITION They are actively looking to recruit an Assistant Project Manager to work alongside a team of experienced Chartered professionals and get involved in a range of projects from inception to completion. The successful Project Manager will be given the opportunity to work on projects across a range of sectors which provides an excellent opportunity for someone who has perhaps become pigeonholed in one sector with a larger Consultancy. Value of projects can range from £1 - £20 million. THE CANDIDATE The successful Project Manager must: Have a construction related degree Have some experience working within the Construction industry as either a Project Manager, Quantity Surveyor, Engineer or Building Surveyor Have good communication and client facing skills Have a willingness to work towards their APC and become Chartered WHY YOU SHOULD APPLY Excellent company culture and flat management structure Opportunity to work on some exciting projects across multiple sectors Chance to be part of a growing, privately owned Consultancy Excellent track record or progressing people through their APC INTERESTED? Apply in confidence to this advert or contact Tom Evans on (phone number removed) for more information.
Mar 18, 2026
Full time
One of the regions leading Property Consultancies is actively recruiting an Assistant Project Manager to be based in Bristol. THE COMPANY The client is an independent, privately owned Consultancy with a network of offices across Exeter, Bristol, London and Birmingham. They have a great reputation in the market and are working on some regions largest developments. Projects can range from Public to Private sector and include Residential, Commercial, Education and Health. Values currently range from £500k to £50 million so a fantastic range and size of projects. THE POSITION They are actively looking to recruit an Assistant Project Manager to work alongside a team of experienced Chartered professionals and get involved in a range of projects from inception to completion. The successful Project Manager will be given the opportunity to work on projects across a range of sectors which provides an excellent opportunity for someone who has perhaps become pigeonholed in one sector with a larger Consultancy. Value of projects can range from £1 - £20 million. THE CANDIDATE The successful Project Manager must: Have a construction related degree Have some experience working within the Construction industry as either a Project Manager, Quantity Surveyor, Engineer or Building Surveyor Have good communication and client facing skills Have a willingness to work towards their APC and become Chartered WHY YOU SHOULD APPLY Excellent company culture and flat management structure Opportunity to work on some exciting projects across multiple sectors Chance to be part of a growing, privately owned Consultancy Excellent track record or progressing people through their APC INTERESTED? Apply in confidence to this advert or contact Tom Evans on (phone number removed) for more information.
Rev & Regs is excited to be working with a global asset management firm to hire a Senior Compliance Advisory Manager . It is a standout opportunity for a senior compliance professional to step into a high-profile role. This is a 6-month fixed term contract role which will play an active part in providing regulatory advice & interpretation and compliance support. Responsibilities: This role is, expected to bring strong technical expertise to the team, and help to address Investment Management teams' compliance needs and collaborate with other advisory and monitoring leads to deliver globally consistent and best in class compliance support. Keep abreast of emerging regulatory rules and announcements and make recommendations around policy, procedure and control implications. Proactively engage with the Investment Management functions, across all asset classes, and be responsible for delivering timely and high-quality compliance and regulatory advice to all stakeholders. Communicate relevant information to respective stakeholders and management forums. Respond to client issues and regulatory inquiries related to Investment Management activities. Support review of documents like the prospectus and investment agreements and provide comments/feedback to ensure they are compliant with regulatory requirements. Proactively engage with the Regulatory Reporting teams to provide timely and high-quality compliance advice on various matters related to trade, transaction and related regulatory reporting obligations. Keep informed of internal developments which impact regulatory requirements e.g. fund structures, new products. Contribute to building a high performing team. Develop and maintain a strong peer network as well as productive relationships with senior stakeholders by providing ex-pert support, quick issue resolution & confident challenge. Play an active role in educating stakeholders, in order to drive sustainable improvements in compliance culture. Experience: Proven track record of delivering investment compliance advice focused on equities, fixed income and multi-asset instruments and Private assets preferable. Deep knowledge of the UK and European regulatory environment. Strong appreciation of specific, relevant regulation and legislation e.g. UCITS, MIFID, AIFMD, SFTR, EMIR. Relevant investment management qualification (e.g. Investment Management Certificate). Effective influencer, able to build productive relationships, while comfortable challenging and negotiating different view-points. Duration: 6-month FTC Salary: £110,000 pro rata Location: Hybrid (3-4 days per week in City of London office)
Mar 18, 2026
Full time
Rev & Regs is excited to be working with a global asset management firm to hire a Senior Compliance Advisory Manager . It is a standout opportunity for a senior compliance professional to step into a high-profile role. This is a 6-month fixed term contract role which will play an active part in providing regulatory advice & interpretation and compliance support. Responsibilities: This role is, expected to bring strong technical expertise to the team, and help to address Investment Management teams' compliance needs and collaborate with other advisory and monitoring leads to deliver globally consistent and best in class compliance support. Keep abreast of emerging regulatory rules and announcements and make recommendations around policy, procedure and control implications. Proactively engage with the Investment Management functions, across all asset classes, and be responsible for delivering timely and high-quality compliance and regulatory advice to all stakeholders. Communicate relevant information to respective stakeholders and management forums. Respond to client issues and regulatory inquiries related to Investment Management activities. Support review of documents like the prospectus and investment agreements and provide comments/feedback to ensure they are compliant with regulatory requirements. Proactively engage with the Regulatory Reporting teams to provide timely and high-quality compliance advice on various matters related to trade, transaction and related regulatory reporting obligations. Keep informed of internal developments which impact regulatory requirements e.g. fund structures, new products. Contribute to building a high performing team. Develop and maintain a strong peer network as well as productive relationships with senior stakeholders by providing ex-pert support, quick issue resolution & confident challenge. Play an active role in educating stakeholders, in order to drive sustainable improvements in compliance culture. Experience: Proven track record of delivering investment compliance advice focused on equities, fixed income and multi-asset instruments and Private assets preferable. Deep knowledge of the UK and European regulatory environment. Strong appreciation of specific, relevant regulation and legislation e.g. UCITS, MIFID, AIFMD, SFTR, EMIR. Relevant investment management qualification (e.g. Investment Management Certificate). Effective influencer, able to build productive relationships, while comfortable challenging and negotiating different view-points. Duration: 6-month FTC Salary: £110,000 pro rata Location: Hybrid (3-4 days per week in City of London office)
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Application Support Engineer - 1st Line - (RL8110) Job Title - Application Support Engineer - 1st Line Location - Poole, Dorset (On-site) Salary - £28,000 - £35,000 + £3,000 annual on call uplift On call - 1 week every 5-6 weeks (call-outs rare) The Client: Our client is a well established technology organisation providing software and managed services to the UK public transport and mobility sector. Their systems process several billion transactions per year and support local authorities, operators and technology partners nationwide. With over 20 years of industry experience and a team of around 115 staff across the UK and Europe, they are known for high quality service, innovation and long term customer partnerships. The Candidate: This role suits an early career technologist with 1-3 years' Application Support experience or a graduate with a relevant IT/scientific degree including hands on software support. The ideal candidate is ambitious, customer focused and eager to develop into Level 2, Product or Development roles. They must have real application support experience (not only hardware support) and enjoy problem solving in a busy technical environment. The Role: As a 1st Line Application Support Engineer, you will investigate, triage and resolve customer issues, managing incoming tickets, calls and emails in line with SLAs and ITIL based processes. You will support core application systems, assist with technical configuration tasks and provide light printer and terminal support (full training provided). You will work closely with Level 2 and technical teams. Key Duties: Manage, triage and resolve support tickets in line with SLAs and ITIL processes Troubleshoot application issues and provide customer updates Respond to inbound calls and shared mailbox enquiries Create and maintain knowledge base documentation Support application systems including configuration and monitoring (training provided) Provide printer/terminal support including returns and dispatch Escalate issues appropriately to Level 2 or Support Manager Update support dashboards and reports (Zendesk) Take part in the on call rota (rare call-outs) Provide occasional on site support when required Requirements: 1-3 years' Service Desk or Application Support experience, or relevant IT/scientific degree Experience working to SLAs in a structured support environment Confident troubleshooting software applications High competency in MS Office (Word, Excel, Outlook) Strong written and verbal communication skills Valid driving licence and access to a vehicle Nice to Have (Not Essential): Understanding of XML, CSV, JSON or SQL Jira or Zendesk experience Experience in a software development environment Experience with BI tools B2B technical customer service experience To apply for this Application Support Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Mar 18, 2026
Full time
Application Support Engineer - 1st Line - (RL8110) Job Title - Application Support Engineer - 1st Line Location - Poole, Dorset (On-site) Salary - £28,000 - £35,000 + £3,000 annual on call uplift On call - 1 week every 5-6 weeks (call-outs rare) The Client: Our client is a well established technology organisation providing software and managed services to the UK public transport and mobility sector. Their systems process several billion transactions per year and support local authorities, operators and technology partners nationwide. With over 20 years of industry experience and a team of around 115 staff across the UK and Europe, they are known for high quality service, innovation and long term customer partnerships. The Candidate: This role suits an early career technologist with 1-3 years' Application Support experience or a graduate with a relevant IT/scientific degree including hands on software support. The ideal candidate is ambitious, customer focused and eager to develop into Level 2, Product or Development roles. They must have real application support experience (not only hardware support) and enjoy problem solving in a busy technical environment. The Role: As a 1st Line Application Support Engineer, you will investigate, triage and resolve customer issues, managing incoming tickets, calls and emails in line with SLAs and ITIL based processes. You will support core application systems, assist with technical configuration tasks and provide light printer and terminal support (full training provided). You will work closely with Level 2 and technical teams. Key Duties: Manage, triage and resolve support tickets in line with SLAs and ITIL processes Troubleshoot application issues and provide customer updates Respond to inbound calls and shared mailbox enquiries Create and maintain knowledge base documentation Support application systems including configuration and monitoring (training provided) Provide printer/terminal support including returns and dispatch Escalate issues appropriately to Level 2 or Support Manager Update support dashboards and reports (Zendesk) Take part in the on call rota (rare call-outs) Provide occasional on site support when required Requirements: 1-3 years' Service Desk or Application Support experience, or relevant IT/scientific degree Experience working to SLAs in a structured support environment Confident troubleshooting software applications High competency in MS Office (Word, Excel, Outlook) Strong written and verbal communication skills Valid driving licence and access to a vehicle Nice to Have (Not Essential): Understanding of XML, CSV, JSON or SQL Jira or Zendesk experience Experience in a software development environment Experience with BI tools B2B technical customer service experience To apply for this Application Support Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
