1367 jobs found

TristoneNash are supporting a large housing association in their search for a Senior Planned Operations Manager covering the organisations patches of Eastleigh, Yeovil, London and Bracknell. The successful candidate is expected to be office based three days per week spread across all regions. Job role: The Senior Planned Operations Manager is responsible for the delivery of all planned and cyclical works programmes for the housing stock. Utilising a team of managers and trades, the role will deliver all planned works which could include bathrooms, kitchens, roofs, windows and redecoration works across the whole operational area of the Group & responsible for a budget of circa 23M. Seeking to identify opportunities to expand and develop in house capacity to deliver works whilst keeping a focus on legislative obligations and compliance. Experience required: Holder of a recognised construction qualification at the appropriate level or extensive experience at this level. Have, or be willing to work towards, an Ofqual-recognised qualification in Housing Management (Chartered Institute of Housing Level 4 or equivalent). H&S qualification (IOSH 5 day or NEBOSH construction certificate) with a depth of working knowledge of application of Health and Safety legislation and how to keep people safe. Extensive knowledge of statutory regulations relevant to the role Demonstrable experience in managing large scale contract and maintenance projects within a housing organisation. Commercially astute with the ability to analyse financial data and formulate work programmes within defined budgets Good communicator with ability to lead and motivate individuals and teams in the delivery of key services Ability to provide support and guidance in the management of trades and external contractors Broad knowledge of building related issues with the ability to provide technical support and advice Demonstrate our Values and Behaviours.

TristoneNash are supporting a large housing association in their search for a Senior Planned Operations Manager covering the organisations patches of Eastleigh, Yeovil, London and Bracknell. The successful candidate is expected to be office based three days per week spread across all regions. Job role: The Senior Planned Operations Manager is responsible for the delivery of all planned and cyclical works programmes for the housing stock. Utilising a team of managers and trades, the role will deliver all planned works which could include bathrooms, kitchens, roofs, windows and redecoration works across the whole operational area of the Group & responsible for a budget of circa 23M. Seeking to identify opportunities to expand and develop in house capacity to deliver works whilst keeping a focus on legislative obligations and compliance. Experience required: Holder of a recognised construction qualification at the appropriate level or extensive experience at this level. Have, or be willing to work towards, an Ofqual-recognised qualification in Housing Management (Chartered Institute of Housing Level 4 or equivalent). H&S qualification (IOSH 5 day or NEBOSH construction certificate) with a depth of working knowledge of application of Health and Safety legislation and how to keep people safe. Extensive knowledge of statutory regulations relevant to the role Demonstrable experience in managing large scale contract and maintenance projects within a housing organisation. Commercially astute with the ability to analyse financial data and formulate work programmes within defined budgets Good communicator with ability to lead and motivate individuals and teams in the delivery of key services Ability to provide support and guidance in the management of trades and external contractors Broad knowledge of building related issues with the ability to provide technical support and advice Demonstrate our Values and Behaviours.

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

Are you an experienced relationship fundraiser who wants to help secure transformational gifts that change the lives of dogs in the UK? We re looking for a Major Gifts Development Manager to build a pipeline of new and existing donors across the North of England and Midlands. This ambitious new position will play a pivotal role in shaping the future of Dogs Trust s work in the region. What does this role do? As Major Gift Development Manager, you will: build a pipeline of prospective supporters in the region, proactively arranging meetings and approaches with potential donors, identifying individuals who are passionate about animal welfare and may support our work, create memorable experiences that bring supporters closer to Dogs Trust by delivering bespoke, creative stewardship plans, underpinned by a deep understanding of donor motivations, be a key representative of Dogs Trust with high value supporters and senior volunteers and work closely with internal colleagues to create close relationships with donors, providing them with a compelling and fulfilling supporter journey, identify opportunities to develop relationships with senior volunteers and influential individuals to strengthening relationships in the region. This is a hybrid role that will combine working from home and visiting local rehoming centres for meetings with donors across the region. The role will be contractually based at one of the following rehoming centres: Darlington, Leeds, Manchester, Merseyside, Shrewsbury, Kenilworth, Loughborough or Snetterton. Interviews for this role are provisionally scheduled for Wednesday 13th and Thursday 14th May and will take place on Teams. Could this be you? To be successful in this role, you ll be a natural connector who thrives on meeting new people and building trust. You ll have experience of fundraising and working with High Net Worth Individuals and making five-figure asks and above, or supporting senior colleagues with making those asks. You ll need excellent communication skills, with the ability to write compelling proposals and build strong 1-1 relationships. While you d ideally have experience in Major Gifts, we d welcome applications from candidates who have fundraising or relationship management experience in other disciplines and are keen to develop their skills in this area. A commitment to the work we do at Dogs Trust is essential, as this must shine through while interacting with supporters. About Dogs Trust We love dogs. That s why we do whatever we can to make sure every four-legged friend gets the love they deserve. We ll never put a healthy dog down, so our work is focused on helping dogs in need, supporting owners every step of the walk, and creating a better world for dogs in the future. It s what we ve been doing since 1891 and how we ve grown to become the UK s leading dog charity, helping 12,000 loyal friends find their forever homes every year. To apply for this position please click the APPLY NOW button. Our application process requires you submit a personal statement explaining your interest and suitability for the role. Dogs are incredibly diverse, much like the humans that love them! At Dogs Trust we value diversity, and we're committed to fostering an inclusive culture. We actively encourage applications from people of all backgrounds, abilities, and cultures and believe that a diverse workforce helps us to achieve our mission. Our colleague networks give our people a voice, acting as vehicles for real and meaningful change within Dogs Trust. We truly want to see every candidate shine throughout the entire job application process, interview stages, and during their time with us. If there's anything on your mind or any adjustments you may need, don't hesitate to reach out to us. We're here to support you every step of the way.

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.

This Private Tax Assistant Manager role involves managing a diverse portfolio of private tax clients - including HNWI's, land & estates, agriculture, entrepreneurs, partnerships & trusts, in addition to providing excellent tax advisory & compliance services and work closely with the senior leadership team to mentor juniors. Client Details Our client is a Top-10 accountancy firm and growing their Salisbury-based tax team after substantial growth and internal progression. They pride themselves on their commitment to providing exceptional customer service and their ability to create innovative solutions for their clients. With their focus on talent development and open progression pathways, our client is eager to speak with skilled and ambitious candidates from all walks of experience. Description Managing a portfolio of clients in the professional services industry. Providing tax advisory and compliance services. Working closely with the tax team to deliver top-quality service. Ensuring client satisfaction and building strong relationships. Staying updated with tax legislation changes and informing clients accordingly. Identifying opportunities to provide additional services to clients. Contributing to team meetings and firm-wide training sessions. Assisting with internal projects as required. Profile A successful Private Tax Assistant Manager should have: Hold a professional qualification in tax or accountancy - CTA, ACA, ACCA, CA or equivalent. Client management experience in a UK accountancy practice. Excellent communication skills, both written and verbal. Strong organisational and time management skills. Knowledge of current tax legislation and compliance regulations. Ability to build strong relationships with clients and team members. Job Offer A competitive salary in the range of £40,000 - £50,000 per year. Comprehensive benefits package - can be discussed upon enquiry. Opportunity to work in a supportive and professional environment. Structured career progression and development opportunities. Chance to work with a diverse portfolio of clients across a broad spectrum of industries and specialisms. Please apply if you are looking to advance your career in a dynamic and internationally renowned firm. We look forward to receiving your application.

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.

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.

This is a rare graduate opportunity offering hands-on experience across high-value construction projects, combining site-based support work with structured office training and mentorship. It's ideal for someone eager to build a career in project management through in-person learning, gaining exposure to real projects without the immediate pressure of leading them. Client Details Our client is a well-established project and development consultancy delivering a wide range of complex schemes across multiple sectors. With projects spanning significant values and varying scales, they are known for offering structured training and hands-on exposure to support the next generation of construction professionals. Description Support live construction projects through administrative coordination and document management activities. Attend site regularly (3 days per week) to assist with project documentation, reporting, and general project support tasks. Work closely with internal teams and external stakeholders to ensure accurate handling and organisation of project information. Assist with maintaining project records, tracking documentation, and supporting compliance processes. Gain exposure to project delivery processes from inception through to completion without the immediate pressure of leading responsibilities. Spend 2 days per week in the office receiving structured training and development directly from senior team members. Contribute to internal projects, building foundational project management knowledge and technical understanding. Develop an understanding of construction processes, stakeholder coordination, and project lifecycle management. Profile A recently qualified graduate in construction, project management, or a related discipline. Demonstrates a strong desire to build a career within the construction or property sector. Eager to learn, proactive, and willing to invest time in both on-site and office-based development. Comfortable working in a structured environment with a strong emphasis on in-person learning and collaboration. Strong organisational skills and attention to detail, particularly when handling documentation. A positive attitude towards gaining hands-on experience across a variety of project types and values. Willingness to be present on-site and in the office regularly, recognising the importance of early-career exposure. Job Offer A rare opportunity to join a high-profile project from day one as a graduate. Structured training and mentorship from experienced professionals. Exposure to a diverse range of projects across multiple sectors, with values ranging from £3m to £400m. A clear pathway for career progression within a supportive and development-focused environment. The chance to gain invaluable real-world experience early in your career, building a strong foundation for future project management roles.

Job Title: Principal Engineer - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, shaping a safer future for all of us. From the depths of the ocean to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus. What you'll do You will be able to perform an end-to-end threat model, using the STRIDE methodology, independently of any help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design patterns, guardrails, and mitigations for AI agents (e.g. least-privilege tool access, human-in-the-loop controls. Proficient in managing your workload independently and familiarise yourself with industry business practices and procedures while taking ownership of your development pathway alongside your line manager and colleagues. You will evangelise about the benefits Cyber can offer the business and are confident running workshops and initiatives to spread the word. You will coach and assist junior members of the team to improve their skills, knowledge or behaviours. Support external departments by working on bespoke integrations and sharing of information. Engage with cyber stakeholders, the wider business, and external entities to facilitate and support the delivery of cyber services and initiatives. Always look to improve you understand and knowledge of the following. Regulatory requirements on our business. TSA, PCI, SWIFT, GDPR (not an exhaustive list) Architectural domains. DLP, CLOUD, IDAM, LOGGING & MONITERING (not an exhaustive list) Departments and their verticals. CONTENT, CUSTOMER, ISP, PRODUCT, DIGITAL, DATA (not an exhaustive list) What you'll bring Experience providing end-to-end threat models, using the STRIDE methodology in an Enterprise level business. Strong understanding of AI-specific threat classes, such as prompt injection, model abuse, data leakage, insecure plugin/tool execution, and emergent agent behaviour. Live the Sky Values and demonstrate enthusiasm and a can-do attitude. Demonstrate a passion for cyber security and have a positive outlook and approach to the work we do. Experience in working within a typical Cyber/Infosec field, dealing with subjects ranging from technologies, compliance, or regulatory frameworks that have an impact on the Cyber function or offerings. Strong skills in analytical, decision making, verbal and written communication capabilities. Excellent teamwork skills to collaborate, share and support colleagues. A desire to learn, and share your knowledge within the team. Team overview Cyber Security Our products, platforms and technologies are constantly evolving that's why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our global team works across the UK, US & India. As the business adopts AI and autonomous technologies, the team plays a key role in ensuring these systems are designed and operated securely and responsibly. Join us and you'll get involved in tackling challenges and future threats in an ever-changing cyber landscape. 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's 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. Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark . You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 Title: Principal Engineer - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, shaping a safer future for all of us. From the depths of the ocean to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

FP&A Lead About the Business This is an exciting opportunity to join a fast-growing, PE-backed financial technology business at a pivotal point in its development. Following a recent change in ownership, the business is undergoing a significant transformation programme - bringing finance processes in-house and building out its reporting, analytical and modelling capabilities to better drive business performance. This is a unique chance to play a central role in shaping the FP&A function of a well-established business with a strong heritage in financial technology, serving thousands of market participants globally. The Role We are looking for a senior FP&A Lead to join a busy finance team, working alongside senior stakeholders to monitor business performance and provide financial insights that deliver enhanced value to shareholders. This role has a specific focus on the cost base, partnering the technology, client services and corporate functions. There is a significant change agenda, so this role will suit someone who enjoys variety and is naturally curious. The successful candidate must be able to operate in the detail - ensuring data is correct and reported accurately - whilst also being adept at explaining the business rationale behind results and analysis. Strong communication skills, resilience and flexibility are essential. This is a senior hire within the FP&A team, with responsibility for all cost accounts and an expectation of high-level understanding across the P&L, balance sheet and cashflow. The role has 6 direct reports , with team members based both in the UK and offshore. Key Responsibilities Business Partnering & Analysis Drive insight and analysis to understand and enhance performance Support decision making with data and insight Establish and review key business metrics Advise on the financial implications and consequences of business decisions Interpret and communicate financial data to non-financial managers Tell the story behind the numbers without getting lost in the detail Reporting Support the accounting teams to deliver an accurate general ledger, including input to, review and challenge of month end journal entries Production and presentation of functional monthly business performance packs Provide business commentary and insight into drivers of performance Provide financial support to key budget holders and their teams to understand variances and implications Develop and improve reporting provided to stakeholders Budgeting, Forecasting & Planning Take ownership of budgeting and forecasting processes for the cost base, including the introduction of an agile rolling forecast process Development of driver-based forecasting Support business planning by providing financial analysis and modelling Support wider strategic planning, budgeting and forecasting processes Other Contribute to ad hoc financial projects and requests as part of the overall finance function Continuously look for ways to re-engineer and automate finance processes and the operating model Coach the team and across finance more broadly to enhance business knowledge, partnering and FP&A skills Assist with embedding financial literacy more broadly across the business Skills & Requirements Strong and varied FP&A background with significant business partnering experience and evidence of supporting change (8+ years post-qualification experience) Ability to engage with a broad group of stakeholders including the senior leadership team and manage expectations appropriately Excellent verbal, written and interpersonal communication skills Fully qualified accountant (ACA, ACCA or CIMA) Strong Excel skills and advanced modelling capability Ability to work independently, managing competing priorities for multiple stakeholders Well-developed analytical and problem-solving skills Strong organisational and time management skills Ability to quickly gain a thorough knowledge of the business Experience working in a PE-backed environment is a strong advantage

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.