Job Title: Principal / Associate Environmental Consultant (EIA & Consenting) Location: Glasgow (Hybrid Working) Penguin Recruitment is delighted to be supporting a leading global multi-disciplinary consultancy in their search for a Principal or Associate Environmental Consultant to join their growing Scotland team, based in Glasgow. Following recent project wins, this is an exciting opportunity for an experienced EIA and consenting professional to take a leadership role within a dynamic and expanding team. The position offers excellent scope for career progression within a fast-paced and evolving industry. The Company Our client is a globally recognised engineering and environmental consultancy delivering complex infrastructure and energy projects across the UK and internationally. Known for their collaborative culture and technical excellence, they bring together specialists across environmental, engineering, design and project management disciplines to deliver transformative projects. The Scotland team works across a broad range of sectors including energy, infrastructure, transport and development, providing strategic environmental advice and managing complex consenting processes. The Role As a Principal or Associate Consultant, you will play a key role in leading Environmental Impact Assessments (EIA) and associated consenting processes across a wide variety of projects. Key Responsibilities Leading and coordinating Environmental Impact Assessments (EIA) and related consents. Acting as Technical Lead across multi-disciplinary projects. Managing projects from bid stage through to completion. Leading and contributing to bids and tender submissions. Engaging proactively with clients, stakeholders and regulatory bodies. Supporting the development of new business opportunities and emerging service areas. Delivering strong project management, ensuring technical excellence, programme adherence and budget control. Mentoring and supporting junior team members, contributing to team growth and capability development. You will collaborate closely with technical specialists across environmental disciplines, engineering and design teams, contributing to nationally significant infrastructure and energy projects. About You We are seeking an ambitious and technically strong environmental professional ready to step into a senior leadership role. Essential Requirements Degree qualified in an environmental or related discipline. Strong experience delivering and coordinating Environmental Impact Assessments (EIA). Thorough understanding of consenting and permitting processes across a range of project types and jurisdictions. Proven experience delivering projects from bid stage through to completion. Experience leading or contributing significantly to bids and tender preparation. Excellent analytical, reporting and communication skills. Ability to work under pressure, manage change and deliver technical excellence. Experience managing multi-disciplinary teams and engaging with stakeholders. Membership of a relevant professional body. Desirable Chartered Environmentalist, Chartered Scientist or equivalent professional status. Experience working across infrastructure, energy or large-scale development sectors. What's on Offer The successful candidate will benefit from: Competitive salary (commensurate with experience) Hybrid and flexible working arrangements Generous holiday allowance Comprehensive and flexible benefits package Structured training and professional development support Clear career progression opportunities within a growing Scotland team Interested? The hiring manager is looking to meet with suitable candidates ASAP so if you meet the above criteria, please contact Josh Jones on (phone number removed) or (url removed)
Mar 11, 2026
Full time
Job Title: Principal / Associate Environmental Consultant (EIA & Consenting) Location: Glasgow (Hybrid Working) Penguin Recruitment is delighted to be supporting a leading global multi-disciplinary consultancy in their search for a Principal or Associate Environmental Consultant to join their growing Scotland team, based in Glasgow. Following recent project wins, this is an exciting opportunity for an experienced EIA and consenting professional to take a leadership role within a dynamic and expanding team. The position offers excellent scope for career progression within a fast-paced and evolving industry. The Company Our client is a globally recognised engineering and environmental consultancy delivering complex infrastructure and energy projects across the UK and internationally. Known for their collaborative culture and technical excellence, they bring together specialists across environmental, engineering, design and project management disciplines to deliver transformative projects. The Scotland team works across a broad range of sectors including energy, infrastructure, transport and development, providing strategic environmental advice and managing complex consenting processes. The Role As a Principal or Associate Consultant, you will play a key role in leading Environmental Impact Assessments (EIA) and associated consenting processes across a wide variety of projects. Key Responsibilities Leading and coordinating Environmental Impact Assessments (EIA) and related consents. Acting as Technical Lead across multi-disciplinary projects. Managing projects from bid stage through to completion. Leading and contributing to bids and tender submissions. Engaging proactively with clients, stakeholders and regulatory bodies. Supporting the development of new business opportunities and emerging service areas. Delivering strong project management, ensuring technical excellence, programme adherence and budget control. Mentoring and supporting junior team members, contributing to team growth and capability development. You will collaborate closely with technical specialists across environmental disciplines, engineering and design teams, contributing to nationally significant infrastructure and energy projects. About You We are seeking an ambitious and technically strong environmental professional ready to step into a senior leadership role. Essential Requirements Degree qualified in an environmental or related discipline. Strong experience delivering and coordinating Environmental Impact Assessments (EIA). Thorough understanding of consenting and permitting processes across a range of project types and jurisdictions. Proven experience delivering projects from bid stage through to completion. Experience leading or contributing significantly to bids and tender preparation. Excellent analytical, reporting and communication skills. Ability to work under pressure, manage change and deliver technical excellence. Experience managing multi-disciplinary teams and engaging with stakeholders. Membership of a relevant professional body. Desirable Chartered Environmentalist, Chartered Scientist or equivalent professional status. Experience working across infrastructure, energy or large-scale development sectors. What's on Offer The successful candidate will benefit from: Competitive salary (commensurate with experience) Hybrid and flexible working arrangements Generous holiday allowance Comprehensive and flexible benefits package Structured training and professional development support Clear career progression opportunities within a growing Scotland team Interested? The hiring manager is looking to meet with suitable candidates ASAP so if you meet the above criteria, please contact Josh Jones on (phone number removed) or (url removed)
Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI! EMBL's European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial i click apply for full job details
Mar 11, 2026
Full time
Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI! EMBL's European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial i click apply for full job details
Paediatric, rare and hereditary diseases research manager Contract: 12-month fixed term contract maternity cover Location : Contracted to the Peterborough office with the flexibility for hybrid working Salary : £33,000 - £37,000 depending on experience Hours: Full time (37.5 hours per week) Benefits : Our client want all their 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 they pay our employees fairly, they 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: Tuesday 17 March 2026 Telephone interviews will be held on week commencing 23 March 2026 Interviews will be held on week commencing 30 March 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 clients vision is the day when everyone lives free from kidney disease. This is an exciting opportunity to make a real difference for children and people with rare kidney conditions. They are looking for a confident, organised professional to manage and coordinate their portfolio of work in paediatric and rare renal diseases. You will build and maintain strong relationships with researchers, clinicians, patients and funding partners, bringing together all aspects of this vital work to create an active, research-ready community. They are seeking someone with a good understanding of the research landscape who can communicate complex information clearly, work collaboratively across teams, and bring a proactive, 'can-do' approach. You will help identify opportunities that accelerate progress and ensure patient voices remain at the heart of everything they do. They operate a hybrid, flexible working style and the role is contracted to their 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. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Them: Our client is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Their vision is the day when everyone lives free from kidney disease and for more than 60 years the research, their 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 their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. They 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 they have invested more than £71 million into research. They 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, they also work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the charity. Those patient contributions are vital, always helping them and their partners to understand what life is like with kidney disease, always ensuring they see the patient behind the treatment and always reminding them that behind every statistic and every number is a person the patients and the carers who inspire their mission and push them forward to make a difference and change the future of kidney disease. You may also have experience in the following: Paediatric Research Manager, Rare Disease Research Lead, Hereditary Conditions Programme Manager, Clinical Research Coordinator (Paediatrics & Rare Diseases), Medical Research Manager, Paediatric Clinical Programme Lead, Rare Renal Research Coordinator, Research Partnerships Manager, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-
Mar 11, 2026
Full time
Paediatric, rare and hereditary diseases research manager Contract: 12-month fixed term contract maternity cover Location : Contracted to the Peterborough office with the flexibility for hybrid working Salary : £33,000 - £37,000 depending on experience Hours: Full time (37.5 hours per week) Benefits : Our client want all their 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 they pay our employees fairly, they 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: Tuesday 17 March 2026 Telephone interviews will be held on week commencing 23 March 2026 Interviews will be held on week commencing 30 March 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 clients vision is the day when everyone lives free from kidney disease. This is an exciting opportunity to make a real difference for children and people with rare kidney conditions. They are looking for a confident, organised professional to manage and coordinate their portfolio of work in paediatric and rare renal diseases. You will build and maintain strong relationships with researchers, clinicians, patients and funding partners, bringing together all aspects of this vital work to create an active, research-ready community. They are seeking someone with a good understanding of the research landscape who can communicate complex information clearly, work collaboratively across teams, and bring a proactive, 'can-do' approach. You will help identify opportunities that accelerate progress and ensure patient voices remain at the heart of everything they do. They operate a hybrid, flexible working style and the role is contracted to their 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. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Them: Our client is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Their vision is the day when everyone lives free from kidney disease and for more than 60 years the research, their 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 their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. They 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 they have invested more than £71 million into research. They 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, they also work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the charity. Those patient contributions are vital, always helping them and their partners to understand what life is like with kidney disease, always ensuring they see the patient behind the treatment and always reminding them that behind every statistic and every number is a person the patients and the carers who inspire their mission and push them forward to make a difference and change the future of kidney disease. You may also have experience in the following: Paediatric Research Manager, Rare Disease Research Lead, Hereditary Conditions Programme Manager, Clinical Research Coordinator (Paediatrics & Rare Diseases), Medical Research Manager, Paediatric Clinical Programme Lead, Rare Renal Research Coordinator, Research Partnerships Manager, Charity, Charities, Third Sector, Not for Profit, NFP, 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 11, 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.
Job Scope The Royal Society is a self-governing Fellowship of distinguished scientists drawn from all areas of science, technology, engineering, mathematics and medicine. The Society's fundamental purpose is to recognise, promote and support excellence in science and to encourage the development and use of science for the benefit of humanity. The Society has played a part in some of the most fundamental, significant and life-changing discoveries in scientific history and Royal Society scientists continue to make outstanding contributions to science across the wide breadth of research areas. The Head of HR is a newly created role to join an established HR function of 8 staff within the Society and will report into the HR Director. As the organisation has grown significantly, the Head of HR will now help to drive forward a high performing culture and support the Society's plans to remain an inclusive and exciting workplace. The Head of HR will be responsible for the effective delivery of operational activities, oversee the provision of business partnering and expert advisory services and a full generalist HR brief. Supporting the HR Director, the post holder will be responsible for the provision of strategic, innovative and flexible HR solutions. They will oversee a variety of HR projects and promote and implement EDI initiatives to ensure that the Society is and continues to strive to be, an inclusive workplace, in all domains. They will model and develop strong leadership and management practices within the HR function and across the Society and help manage the delivery of HR operations. They will ensure relevant and appropriate expert advice on complex legal matters, understanding current employment trends and support the Society in being ready for future legislative changes. The post holder will have oversight of the recruitment cycle and may have ownership for senior roles on an ad hoc with support from the HR Director. They will ensure the recruitment cycle and search processes offer value for money as well as ensuring the Society retains high quality staff. Within the operational HR team, the postholder will support the payroll and benefits function, and review suppliers and relationships where necessary. They will work closely with the HR Payroll and Data Manager and the HRD on budget management and planning activities. The post holder will also lead the team to deliver a cycle of work to support corporate activities such as the Performance Lifecycle, Engagement and Wellbeing initiatives. Please note that we are unable to offer sponsorship for this role. Reports to : HR Director Line manages : 2x Senior HR Business Partners Pay band : Band G Salary : £75,000 - £85,000 per annum Contract type : Permanent Hours: 35 hours per week Location: Carlton House Terrace, London, SW1Y 5AG plus the option for some hybrid remote working Closing date for applications: Friday, 20 March 2026, 23:59 hours Interviews will be held: First round: 26 March 2026 and Second round: 31 March 2026
Mar 11, 2026
Full time
Job Scope The Royal Society is a self-governing Fellowship of distinguished scientists drawn from all areas of science, technology, engineering, mathematics and medicine. The Society's fundamental purpose is to recognise, promote and support excellence in science and to encourage the development and use of science for the benefit of humanity. The Society has played a part in some of the most fundamental, significant and life-changing discoveries in scientific history and Royal Society scientists continue to make outstanding contributions to science across the wide breadth of research areas. The Head of HR is a newly created role to join an established HR function of 8 staff within the Society and will report into the HR Director. As the organisation has grown significantly, the Head of HR will now help to drive forward a high performing culture and support the Society's plans to remain an inclusive and exciting workplace. The Head of HR will be responsible for the effective delivery of operational activities, oversee the provision of business partnering and expert advisory services and a full generalist HR brief. Supporting the HR Director, the post holder will be responsible for the provision of strategic, innovative and flexible HR solutions. They will oversee a variety of HR projects and promote and implement EDI initiatives to ensure that the Society is and continues to strive to be, an inclusive workplace, in all domains. They will model and develop strong leadership and management practices within the HR function and across the Society and help manage the delivery of HR operations. They will ensure relevant and appropriate expert advice on complex legal matters, understanding current employment trends and support the Society in being ready for future legislative changes. The post holder will have oversight of the recruitment cycle and may have ownership for senior roles on an ad hoc with support from the HR Director. They will ensure the recruitment cycle and search processes offer value for money as well as ensuring the Society retains high quality staff. Within the operational HR team, the postholder will support the payroll and benefits function, and review suppliers and relationships where necessary. They will work closely with the HR Payroll and Data Manager and the HRD on budget management and planning activities. The post holder will also lead the team to deliver a cycle of work to support corporate activities such as the Performance Lifecycle, Engagement and Wellbeing initiatives. Please note that we are unable to offer sponsorship for this role. Reports to : HR Director Line manages : 2x Senior HR Business Partners Pay band : Band G Salary : £75,000 - £85,000 per annum Contract type : Permanent Hours: 35 hours per week Location: Carlton House Terrace, London, SW1Y 5AG plus the option for some hybrid remote working Closing date for applications: Friday, 20 March 2026, 23:59 hours Interviews will be held: First round: 26 March 2026 and Second round: 31 March 2026
Role Summary We are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows. Key Responsibilities Platform Operations & Monitoring Monitor ML model endpoints and platform health using tools such as Grafana and Domino Data Lab Respond to incidents and alerts; perform code fixes and manage changes via ServiceNow Liaise with Domino Data Lab support to resolve platform-related issues Model Deployment Deploy and maintain ML models in production environments Ensure models integrate seamlessly into automated pipelines Maintain reliability, version control, and governance standards Pipeline Maintenance Collaborate with Data Scientists and Engineers for smooth production handoff Maintain and optimize ML pipelines for stability and scalability Improve performance, resource usage, and automation Automation & Tooling Implement automation for deployment and monitoring Contribute to continuous platform improvements Required Skills & Experience Strong Python programming experience Proven experience deploying and monitoring ML models in production Understanding of model evaluation metrics, data drift, overfitting, and feature importance Experience with AWS services (S3, Redshift, etc.) Hands-on experience with Grafana for monitoring Familiarity with Domino Data Lab (desirable) Strong knowledge of CI/CD, version control, Docker, Kubernetes Excellent troubleshooting and incident management skills Strong stakeholder communication skills
Mar 11, 2026
Contractor
Role Summary We are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows. Key Responsibilities Platform Operations & Monitoring Monitor ML model endpoints and platform health using tools such as Grafana and Domino Data Lab Respond to incidents and alerts; perform code fixes and manage changes via ServiceNow Liaise with Domino Data Lab support to resolve platform-related issues Model Deployment Deploy and maintain ML models in production environments Ensure models integrate seamlessly into automated pipelines Maintain reliability, version control, and governance standards Pipeline Maintenance Collaborate with Data Scientists and Engineers for smooth production handoff Maintain and optimize ML pipelines for stability and scalability Improve performance, resource usage, and automation Automation & Tooling Implement automation for deployment and monitoring Contribute to continuous platform improvements Required Skills & Experience Strong Python programming experience Proven experience deploying and monitoring ML models in production Understanding of model evaluation metrics, data drift, overfitting, and feature importance Experience with AWS services (S3, Redshift, etc.) Hands-on experience with Grafana for monitoring Familiarity with Domino Data Lab (desirable) Strong knowledge of CI/CD, version control, Docker, Kubernetes Excellent troubleshooting and incident management skills Strong stakeholder communication skills
Lead Major Renewable Infrastructure Projects Across the UK We are helping our client expand their Environmental team and are seek an experienced environmental professional to play a key leadership role in the delivery of nationally significant Energy & Renewables projects. These roles are for Associate Consultant or Associate Director level professionals. If you are a Principal Consultant ready to step-up, we would love to hear from you. If you aren't quite ready for Associate level roles, we also have a Principal Consultant opportunity to be considered as well. The Position This is an opportunity to shape and grow our presence in the renewable infrastructure sector, leading Development Consent Orders (DCOs) and complex environmental assessments for large-scale wind, solar and energy infrastructure developments. If you are currently operating at Principal, Associate or Associate Director level within an environmental consultancy and are ready to take ownership of high-profile infrastructure projects this role offers real influence, autonomy and progression. The Role You will operate at the forefront of renewable energy consenting and environmental compliance, with responsibility for both project leadership and client development. Key responsibilities include: Leading the coordination, preparation and submission of Development Consent Orders (DCOs), Section 36 and TCPA applications for renewable energy projects Managing multidisciplinary Environmental Impact Assessments (EIAs) and associated technical inputs Overseeing Habitats Regulations Assessments (HRAs) and supporting environmental documentation Liaising with government authorities, regulators and stakeholders throughout the application process Providing strategic advice to clients on environmental risk, compliance and sustainability Managing and mentoring EIA practitioners within the team Supporting business development and strengthening client relationships within the Energy sector Contributing to the continued growth of our Energy & Renewables offering This role combines technical excellence, commercial awareness and leadership, ideal for someone looking to broaden their strategic impact. About You We are looking for a senior environmental professional with: 7+ years' experience within environmental consultancy Strong background in Energy & Renewables infrastructure projects (wind, solar, energy infrastructure) Proven experience leading Development Consent Orders (DCOs) or other major infrastructure consents Extensive Environmental Impact Assessment (EIA) project management experience Excellent working knowledge of UK environmental legislation and planning frameworks Experience managing teams and coordinating multidisciplinary inputs Strong client-facing and commercial skills Desirable: Chartered Environmentalist (CEnv) or Chartered Scientist (CSci) Experience engaging with government agencies and local authorities Membership of a relevant professional body (e.g. IEMA) Why Join? Lead nationally significant renewable infrastructure projects Play a visible role in shaping the UK's energy transition Clear pathway for progression to Director level Collaborative, growing team environment Opportunity to influence strategy and expand market presence The Opportunity This is more than a delivery role, it is a platform to: Build your profile in the Energy & Renewables sector Influence major infrastructure outcomes Develop long-term client partnerships Contribute to sustainable energy solutions across the UK If you are ready to take the next step in your environmental consultancy career and want to lead complex renewable infrastructure projects with real impact, we would welcome a confidential conversation.
Mar 10, 2026
Full time
Lead Major Renewable Infrastructure Projects Across the UK We are helping our client expand their Environmental team and are seek an experienced environmental professional to play a key leadership role in the delivery of nationally significant Energy & Renewables projects. These roles are for Associate Consultant or Associate Director level professionals. If you are a Principal Consultant ready to step-up, we would love to hear from you. If you aren't quite ready for Associate level roles, we also have a Principal Consultant opportunity to be considered as well. The Position This is an opportunity to shape and grow our presence in the renewable infrastructure sector, leading Development Consent Orders (DCOs) and complex environmental assessments for large-scale wind, solar and energy infrastructure developments. If you are currently operating at Principal, Associate or Associate Director level within an environmental consultancy and are ready to take ownership of high-profile infrastructure projects this role offers real influence, autonomy and progression. The Role You will operate at the forefront of renewable energy consenting and environmental compliance, with responsibility for both project leadership and client development. Key responsibilities include: Leading the coordination, preparation and submission of Development Consent Orders (DCOs), Section 36 and TCPA applications for renewable energy projects Managing multidisciplinary Environmental Impact Assessments (EIAs) and associated technical inputs Overseeing Habitats Regulations Assessments (HRAs) and supporting environmental documentation Liaising with government authorities, regulators and stakeholders throughout the application process Providing strategic advice to clients on environmental risk, compliance and sustainability Managing and mentoring EIA practitioners within the team Supporting business development and strengthening client relationships within the Energy sector Contributing to the continued growth of our Energy & Renewables offering This role combines technical excellence, commercial awareness and leadership, ideal for someone looking to broaden their strategic impact. About You We are looking for a senior environmental professional with: 7+ years' experience within environmental consultancy Strong background in Energy & Renewables infrastructure projects (wind, solar, energy infrastructure) Proven experience leading Development Consent Orders (DCOs) or other major infrastructure consents Extensive Environmental Impact Assessment (EIA) project management experience Excellent working knowledge of UK environmental legislation and planning frameworks Experience managing teams and coordinating multidisciplinary inputs Strong client-facing and commercial skills Desirable: Chartered Environmentalist (CEnv) or Chartered Scientist (CSci) Experience engaging with government agencies and local authorities Membership of a relevant professional body (e.g. IEMA) Why Join? Lead nationally significant renewable infrastructure projects Play a visible role in shaping the UK's energy transition Clear pathway for progression to Director level Collaborative, growing team environment Opportunity to influence strategy and expand market presence The Opportunity This is more than a delivery role, it is a platform to: Build your profile in the Energy & Renewables sector Influence major infrastructure outcomes Develop long-term client partnerships Contribute to sustainable energy solutions across the UK If you are ready to take the next step in your environmental consultancy career and want to lead complex renewable infrastructure projects with real impact, we would welcome a confidential conversation.
NES Fircroft Engineering Services Limited
Bracknell, Berkshire
NES Fircroft is supporting a global science-led manufacturing business operating in the Agri-science and specialty chemicals space, known for translating cutting-edge research into large-scale, real-world production. We are looking for a Research Scientist (Protein) on a 2 year contract working at a globally renowned research centre at Jealott's Hill, Bracknell click apply for full job details
Mar 10, 2026
Contractor
NES Fircroft is supporting a global science-led manufacturing business operating in the Agri-science and specialty chemicals space, known for translating cutting-edge research into large-scale, real-world production. We are looking for a Research Scientist (Protein) on a 2 year contract working at a globally renowned research centre at Jealott's Hill, Bracknell click apply for full job details
Leicester City Football Club (LCFC
Loughborough, Leicestershire
Academy Sports Scientist (U21) When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Kickstart your career Leicester City Football Club as Academy Sports Scientist (U21)! Contract Type: Permanent Hours Per Week: 37 click apply for full job details
Mar 10, 2026
Full time
Academy Sports Scientist (U21) When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Kickstart your career Leicester City Football Club as Academy Sports Scientist (U21)! Contract Type: Permanent Hours Per Week: 37 click apply for full job details
We are partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics , or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research driven environments , enjoy developing new ML methods , and want to work on problems that blend machine learning, physics, and advanced computation . Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production focused ML experience. If you re excited by the idea of building ML algorithms for non traditional compute architectures , we d welcome a confidential conversation.
Mar 10, 2026
Full time
We are partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics , or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research driven environments , enjoy developing new ML methods , and want to work on problems that blend machine learning, physics, and advanced computation . Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production focused ML experience. If you re excited by the idea of building ML algorithms for non traditional compute architectures , we d welcome a confidential conversation.
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 10, 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 10, 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.
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Mar 10, 2026
Full time
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
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 10, 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 10, 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 : ZSL London Zoo, Regents Park, London NW1 - Hybrid Vacancy Type : Permanent Salary : £40,000 per annum Business Area : Enabling Functions and Professional Services Purpose of the role We are looking for a passionate and strategic Philanthropy Manager to help drive our mission to restore wildlife and create a world where wildlife thrives. This role is focused on raising vital funds from individuals to support ZSL s global ambition. You will lead on engaging new and cultivating existing supporters, securing high-value and major gifts. As part of your stewardship and cultivation work, you will build deep, lasting relationships and grow a sustainable income stream that powers our global impact. This is a hybrid role, with the expectation of spending two days a week in the office at a minimum, alongside attending occasional off-site meetings with donors and stakeholders. As with many major gift roles, there may be some evening or weekend work to support events, donor visits, or special experiences. Key responsibilities: Fundraising Strategy: Contribute to strategic planning to ensure a coordinated and donor-centric approach that maximises philanthropic support, in collaboration with the Head of Philanthropy. Donor Cultivation and Stewardship: To manage and grow a personal portfolio of high-value and major donors, securing income from high-value and major gifts. Prospect Research: Identifying and researching potential donors who align with the organisation's mission and goals, with support from the Prospect Researcher. Proposal Writing and Donor Reporting: Craft compelling and personalised proposals and presentations to secure funding, and work closely with the wider fundraising and project delivery teams to produce high quality reports. Event Management: Support the organisation and delivery of events to cultivate relationships with donors and prospects. Financial accountability: Keep accurate records and handle accompanying gift administration and recognition. About you Experienced fundraising and donor development professional within the charity or cultural sectors, with a proven track record of securing five- and six-figure gifts from individuals, trusts, foundations, and institutional partners. Confident in developing compelling proposals and presentations that engage and inspire individual philanthropists. Experience working with fundraising databases and donor management systems. A proven track record in working with senior volunteers in a fundraising context. Knowledge of fundraising best practices and ethical considerations. Strong communication, interpersonal and relationship management skills. About us We re ZSL, an international conservation charity. Through our unrivalled animal experts in our two zoos (London Zoo and Whipsnade Zoo), the work of our pioneering scientists, our dedicated conservationists, our purpose is to inspire, inform and empower people to stop wild animals going extinct. Our vision is a world where wildlife thrives and we re working every day to achieve this. From investigating the health threats facing animals, to helping people and wildlife live alongside each other, we are committed to bringing wildlife back from the brink of extinction. What do we offer? At ZSL, we are proud of our approach to employee benefits. Our benefits include: Our vision and purpose - you ll work alongside colleagues who are passionate about science-led conservation, knowing that you will help us to inspire, inform and empower people to stop wildlife going extinct Pension scheme - we offer a generous pension scheme with up to 12% contributory pension Flexible working talk to us about your flexible working requirements and we will do everything we can to make sure you work in a way that suits you Holidays 25 days annual leave allowance, plus UK bank holidays Wellbeing access to a blended programme of wellbeing initiatives, including confidential access to our 24/7 Employee Assistance Programme Life assurance eligible employees will be enrolled in ZSL s life assurance scheme from their first day Complimentary tickets annual allocation of Whipsnade Zoo and London Zoo tickets, with a 30% discount in online and retail shops Cycle2Work - our cycle to work scheme enables you to lease a bicycle Season ticket loan - we offer an interest free loan for eligibly London-based employees to buy a season ticket for travel between home and work Family friendly policies we offer enhanced maternity, paternity, and adoption packages If you have any questions about this role, we d love to hear from you! Please get in touch with our recruitment team Closing Date: 6th April 2026 We may close this role early or extend the closing date due to the number of applications we receive, so we encourage you to apply as soon as possible. The selection process will involve two stages: First interview held virtually via video call. Second interview held in person and will include a skills-based assessment. We anonymise applications until interview stage to ensure a fair hiring process. It s important to highlight your unique skills, experience, and knowledge. Over reliance on AI-generated content may miss key criteria outlined in the job description and reduce the effectiveness of your application. Interested? If you would like to apply and find out more about this position, please click the apply button to be directed to our website. This role is subject to standard pre-employment checks, including confirmation of your right to work in the UK. Visa sponsorship is not available for this position. ZSL recognises that conservation is one of the least diverse sectors, and we actively encourage applications from candidates who identify as part of underrepresented communities. We are committed to building a supportive and inclusive workplace where everyone can thrive and celebrate the value of having a team of employees with diverse skills, experiences, and heritage. No agencies please.
Mar 10, 2026
Full time
Philanthropy Manager Location : ZSL London Zoo, Regents Park, London NW1 - Hybrid Vacancy Type : Permanent Salary : £40,000 per annum Business Area : Enabling Functions and Professional Services Purpose of the role We are looking for a passionate and strategic Philanthropy Manager to help drive our mission to restore wildlife and create a world where wildlife thrives. This role is focused on raising vital funds from individuals to support ZSL s global ambition. You will lead on engaging new and cultivating existing supporters, securing high-value and major gifts. As part of your stewardship and cultivation work, you will build deep, lasting relationships and grow a sustainable income stream that powers our global impact. This is a hybrid role, with the expectation of spending two days a week in the office at a minimum, alongside attending occasional off-site meetings with donors and stakeholders. As with many major gift roles, there may be some evening or weekend work to support events, donor visits, or special experiences. Key responsibilities: Fundraising Strategy: Contribute to strategic planning to ensure a coordinated and donor-centric approach that maximises philanthropic support, in collaboration with the Head of Philanthropy. Donor Cultivation and Stewardship: To manage and grow a personal portfolio of high-value and major donors, securing income from high-value and major gifts. Prospect Research: Identifying and researching potential donors who align with the organisation's mission and goals, with support from the Prospect Researcher. Proposal Writing and Donor Reporting: Craft compelling and personalised proposals and presentations to secure funding, and work closely with the wider fundraising and project delivery teams to produce high quality reports. Event Management: Support the organisation and delivery of events to cultivate relationships with donors and prospects. Financial accountability: Keep accurate records and handle accompanying gift administration and recognition. About you Experienced fundraising and donor development professional within the charity or cultural sectors, with a proven track record of securing five- and six-figure gifts from individuals, trusts, foundations, and institutional partners. Confident in developing compelling proposals and presentations that engage and inspire individual philanthropists. Experience working with fundraising databases and donor management systems. A proven track record in working with senior volunteers in a fundraising context. Knowledge of fundraising best practices and ethical considerations. Strong communication, interpersonal and relationship management skills. About us We re ZSL, an international conservation charity. Through our unrivalled animal experts in our two zoos (London Zoo and Whipsnade Zoo), the work of our pioneering scientists, our dedicated conservationists, our purpose is to inspire, inform and empower people to stop wild animals going extinct. Our vision is a world where wildlife thrives and we re working every day to achieve this. From investigating the health threats facing animals, to helping people and wildlife live alongside each other, we are committed to bringing wildlife back from the brink of extinction. What do we offer? At ZSL, we are proud of our approach to employee benefits. Our benefits include: Our vision and purpose - you ll work alongside colleagues who are passionate about science-led conservation, knowing that you will help us to inspire, inform and empower people to stop wildlife going extinct Pension scheme - we offer a generous pension scheme with up to 12% contributory pension Flexible working talk to us about your flexible working requirements and we will do everything we can to make sure you work in a way that suits you Holidays 25 days annual leave allowance, plus UK bank holidays Wellbeing access to a blended programme of wellbeing initiatives, including confidential access to our 24/7 Employee Assistance Programme Life assurance eligible employees will be enrolled in ZSL s life assurance scheme from their first day Complimentary tickets annual allocation of Whipsnade Zoo and London Zoo tickets, with a 30% discount in online and retail shops Cycle2Work - our cycle to work scheme enables you to lease a bicycle Season ticket loan - we offer an interest free loan for eligibly London-based employees to buy a season ticket for travel between home and work Family friendly policies we offer enhanced maternity, paternity, and adoption packages If you have any questions about this role, we d love to hear from you! Please get in touch with our recruitment team Closing Date: 6th April 2026 We may close this role early or extend the closing date due to the number of applications we receive, so we encourage you to apply as soon as possible. The selection process will involve two stages: First interview held virtually via video call. Second interview held in person and will include a skills-based assessment. We anonymise applications until interview stage to ensure a fair hiring process. It s important to highlight your unique skills, experience, and knowledge. Over reliance on AI-generated content may miss key criteria outlined in the job description and reduce the effectiveness of your application. Interested? If you would like to apply and find out more about this position, please click the apply button to be directed to our website. This role is subject to standard pre-employment checks, including confirmation of your right to work in the UK. Visa sponsorship is not available for this position. ZSL recognises that conservation is one of the least diverse sectors, and we actively encourage applications from candidates who identify as part of underrepresented communities. We are committed to building a supportive and inclusive workplace where everyone can thrive and celebrate the value of having a team of employees with diverse skills, experiences, and heritage. No agencies please.
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 10, 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.
Senior Development Executive - Mathematical, Physical, and Life Sciences (MPLS) University of Oxford Location: Oxford, UK with some hybrid working options Permanent and full-time role Salary: Grade 8 role with a salary range of £49,119 - £58,265 pa, with possible extension to £63,489 (including an Oxford University Weighting of £1,730 pa, pro rata) Have you ever wondered how the universe was first formed - or how the Earth works today, from earthquakes and volcanoes to climate systems and oceans? What about how technology and AI will change the world of the future - from healthcare diagnostics and drug discovery, to the next generations of batteries, cleaner energy, and resilient infrastructure? The University of Oxford's nine academic departments within MPLS span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting-edge applied work. Research in MPLS tackles major societal and technological challenges - whether developing new energy solutions or improving cancer treatments, understanding climate change processes, or helping to preserve biodiversity. The Division is proud to be the home of some of the most creative and innovative scientific thinkers and leaders. As Senior Development Executive, you would deliver philanthropic support that helps to fund breakthroughs in this research and exploration, that will have a positive impact on the world we live in and beyond. Oxford will shortly be embarking on the public phase of a multi-billion campaign - the most ambitious in higher education outside North America, so this opportunity comes up at a career defining moment in the UK. If this sounds like the kind of challenge you've been looking for, please read on. The opportunity Philanthropy has played a key role in enabling the ambitions of the MPLS Division and wider University, and we are seeking a talented fundraiser who is excited by the opportunity to raise money to support ground-breaking academics and research tackling the world's hardest challenges, and enabling talented students from all backgrounds to study at Oxford. This could be your opportunity to help the brightest students, academics and researchers develop solutions that protect and improve our lives on this planet and beyond. Working closely with the Head of Development - MPLS, as well as some of the most inspiring scientists in the world, you will forge relationships with existing and new donors. You will have the support of excellent colleagues across the sciences at Oxford as well as the wider Development & Alumni Engagement office - the leading higher education fundraising team outside North America. About you You are an accomplished philanthropic fundraiser with a proven track record of securing major gifts and a confident and collegiate approach to achieving results. Creative, strategic and relationship-driven, you bring the ability to engage, inspire and influence donors, enabling you to be successful in major gift fundraising in the £100k-£1m+ range across individuals, trusts and corporate partners. You will play a central role in building and stewarding meaningful relationships, working closely with a diverse community of donors and collaborating with colleagues and stakeholders across the MPLS Division. Your success is underpinned by your: strong record of quickly establishing credibility and trust with senior internal and external stakeholders; intellectual curiosity and an active interest in the world around you; collaborative mindset, combined with an entrepreneurial and proactive approach; ability to work confidently in the detail while maintaining a clear focus on strategic objectives; and high emotional intelligence and excellent interpersonal skills, enabling you to connect with people from all backgrounds. An interest in science is essential, but you do not need an academic or professional background in the field. Above all, we are seeking a passionate advocate for philanthropy - who believes in the impact it can have, knows and implements best practices to achieve results, AND is motivated to enable world-changing discoveries. In return Your happiness and wellbeing at work matters to us, so we offer a range of family friendly and financial benefits including: Flexible hybrid working An excellent contributory pension scheme 38 days annual leave Training and development opportunities Membership of CASE A comprehensive range of childcare services Family leave schemes Cycle loan scheme Membership of a variety of social and sports clubs Discounted bus travel and Season Ticket travel loan You could be helping to deliver philanthropic support that funds breakthroughs in science and improve lives around the world. If this sounds like the kind of challenge you've been looking for, we'd love to hear from you. We are partnering with Richmond Associates for this search. To request a copy of the candidate information pack and to apply, please visit or contact them on or (0). Closing date for applications is 12noon Thursday, 26 March 2026 Interviews with the University of Oxford are scheduled to take place from mid-April 2026. The University of Oxford Development and Alumni Engagement Office is committed to having a team that is made up of diverse skills and experiences, and reflects the community that we serve. We encourage applicants from all sectors of the community and are especially keen to encourage candidates from under-represented groups to apply.
Mar 10, 2026
Full time
Senior Development Executive - Mathematical, Physical, and Life Sciences (MPLS) University of Oxford Location: Oxford, UK with some hybrid working options Permanent and full-time role Salary: Grade 8 role with a salary range of £49,119 - £58,265 pa, with possible extension to £63,489 (including an Oxford University Weighting of £1,730 pa, pro rata) Have you ever wondered how the universe was first formed - or how the Earth works today, from earthquakes and volcanoes to climate systems and oceans? What about how technology and AI will change the world of the future - from healthcare diagnostics and drug discovery, to the next generations of batteries, cleaner energy, and resilient infrastructure? The University of Oxford's nine academic departments within MPLS span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting-edge applied work. Research in MPLS tackles major societal and technological challenges - whether developing new energy solutions or improving cancer treatments, understanding climate change processes, or helping to preserve biodiversity. The Division is proud to be the home of some of the most creative and innovative scientific thinkers and leaders. As Senior Development Executive, you would deliver philanthropic support that helps to fund breakthroughs in this research and exploration, that will have a positive impact on the world we live in and beyond. Oxford will shortly be embarking on the public phase of a multi-billion campaign - the most ambitious in higher education outside North America, so this opportunity comes up at a career defining moment in the UK. If this sounds like the kind of challenge you've been looking for, please read on. The opportunity Philanthropy has played a key role in enabling the ambitions of the MPLS Division and wider University, and we are seeking a talented fundraiser who is excited by the opportunity to raise money to support ground-breaking academics and research tackling the world's hardest challenges, and enabling talented students from all backgrounds to study at Oxford. This could be your opportunity to help the brightest students, academics and researchers develop solutions that protect and improve our lives on this planet and beyond. Working closely with the Head of Development - MPLS, as well as some of the most inspiring scientists in the world, you will forge relationships with existing and new donors. You will have the support of excellent colleagues across the sciences at Oxford as well as the wider Development & Alumni Engagement office - the leading higher education fundraising team outside North America. About you You are an accomplished philanthropic fundraiser with a proven track record of securing major gifts and a confident and collegiate approach to achieving results. Creative, strategic and relationship-driven, you bring the ability to engage, inspire and influence donors, enabling you to be successful in major gift fundraising in the £100k-£1m+ range across individuals, trusts and corporate partners. You will play a central role in building and stewarding meaningful relationships, working closely with a diverse community of donors and collaborating with colleagues and stakeholders across the MPLS Division. Your success is underpinned by your: strong record of quickly establishing credibility and trust with senior internal and external stakeholders; intellectual curiosity and an active interest in the world around you; collaborative mindset, combined with an entrepreneurial and proactive approach; ability to work confidently in the detail while maintaining a clear focus on strategic objectives; and high emotional intelligence and excellent interpersonal skills, enabling you to connect with people from all backgrounds. An interest in science is essential, but you do not need an academic or professional background in the field. Above all, we are seeking a passionate advocate for philanthropy - who believes in the impact it can have, knows and implements best practices to achieve results, AND is motivated to enable world-changing discoveries. In return Your happiness and wellbeing at work matters to us, so we offer a range of family friendly and financial benefits including: Flexible hybrid working An excellent contributory pension scheme 38 days annual leave Training and development opportunities Membership of CASE A comprehensive range of childcare services Family leave schemes Cycle loan scheme Membership of a variety of social and sports clubs Discounted bus travel and Season Ticket travel loan You could be helping to deliver philanthropic support that funds breakthroughs in science and improve lives around the world. If this sounds like the kind of challenge you've been looking for, we'd love to hear from you. We are partnering with Richmond Associates for this search. To request a copy of the candidate information pack and to apply, please visit or contact them on or (0). Closing date for applications is 12noon Thursday, 26 March 2026 Interviews with the University of Oxford are scheduled to take place from mid-April 2026. The University of Oxford Development and Alumni Engagement Office is committed to having a team that is made up of diverse skills and experiences, and reflects the community that we serve. We encourage applicants from all sectors of the community and are especially keen to encourage candidates from under-represented groups to apply.
Philanthropy manager Location: Contracted to their 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: Our client want all their 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 their employees fairly, they 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. Their 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. They want to prevent kidney disease from becoming a public health emergency and find better treatments for kidney patients sooner. They 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 their 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 their 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. They operate a hybrid, flexible working style and regular weekly office attendance is encouraged. The role is contracted to their 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. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Them: Our client is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Their vision is the day when everyone lives free from kidney disease and for more than 60 years the research, they 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 their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. They 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 they have invested more than £71 million into research. They 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, they also work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the charity. Those patient contributions are vital, always helping them and theirr partners to understand what life is like with kidney disease, always ensuring they see the patient behind the treatment and always reminding them that behind every statistic and every number is a person the patients and the carers who inspire their mission and push them 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 10, 2026
Full time
Philanthropy manager Location: Contracted to their 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: Our client want all their 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 their employees fairly, they 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. Their 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. They want to prevent kidney disease from becoming a public health emergency and find better treatments for kidney patients sooner. They 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 their 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 their 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. They operate a hybrid, flexible working style and regular weekly office attendance is encouraged. The role is contracted to their 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. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Them: Our client is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Their vision is the day when everyone lives free from kidney disease and for more than 60 years the research, they 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 their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. They 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 they have invested more than £71 million into research. They 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, they also work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the charity. Those patient contributions are vital, always helping them and theirr partners to understand what life is like with kidney disease, always ensuring they see the patient behind the treatment and always reminding them that behind every statistic and every number is a person the patients and the carers who inspire their mission and push them 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 10, 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.
