286 jobs found

A global online food delivery platform is seeking a Data Science Manager to drive optimization initiatives in logistics. The ideal candidate will lead a team of data scientists, collaborate cross-functionally, and develop robust solutions leveraging machine learning and advanced analytics. A Master's or PhD in a quantitative field and proficiency in Python or Java are required. This role offers a dynamic work environment emphasizing innovation and inclusion.

A leading research organization based in the UK is seeking an experienced Higher Scientist. The role involves planning technical activities, mentoring colleagues, and promoting research outcomes. Candidates should have a graduate degree in a relevant field, with expertise in areas such as cryogenic systems or RF measurement. The position offers a full-time contract with a generous salary and benefits package, and applicants must be eligible for BPSS security clearance.

Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners across the globe. About this role As a Data Science Manager for the Logistics online world, you will be responsible for developing well-engineered, robust, and high-quality data-driven solutions and platforms that drive optimization and strategic insights for our global logistics business. You will play a key role in shaping the vision and execution of data science initiatives, ensuring alignment with business needs and strategy. Location: Berlin, London, or Amsterdam Reporting to: Leadership team of the Product Logistics Data & Analytics team These are some of the key ingredients to the role: Team Leadership: Lead and coach a team of 10-15 highly talented data scientists and operations research scientists including team leads. Technical Collaboration: Work alongside the machine learning manager to drive the development of scalable machine learning models and robust optimization algorithms to solve complex logistics challenges. Stakeholder Management: Join the leadership team of the Product Logistics Data & Analytics team, understanding stakeholder needs and presenting potential solutions. Cross-Functional Synergy: Collaborate closely with the product and engineering team leads to build and deploy machine learning and optimization services on our platform. Culture of Innovation: Foster a culture of experimentation and innovation within the team, promoting best practices for model development, deployment, and monitoring. KPI Ownership: Own and enhance key logistics KPIs, ensuring that our products move in a data-driven and target-oriented direction. Communication: Present actionable insights through strong data visualization and clear communication, influencing the strategic direction of product logistics. What will you bring to the table? We're looking for a collaborative, proactive, flexible, and detail-oriented individual with a passion for innovation. Your technical toolkit should include: Educational Background: A Master's or PhD degree in a quantitative field such as Data Science, Operational Research, Industrial Engineering, Mathematics, Statistics, or Computer Science. Proven Experience: A proven track record of delivering data science and optimization solutions in a company environment. Advanced Analytics: Proven experience applying advanced analytics techniques such as machine learning, optimization, and mathematical programming. Technical Proficiency: Proficiency in programming languages like Python or Java, and experience working with cloud-based platforms like AWS / GCP. Leadership Skills: Strong leadership skills with the ability to inspire and manage cross-functional and multi-cultural teams. Project Management: Strong project management skills with the ability to influence, work effectively, and execute projects. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

A Principal EIA consultant is required to join a leading multinational, multi disciplinary consultancy. This is an exciting opportunity to join an environment to lead on projects where your efforts will be rewarded and recognised. This is a great opportunity for an existing Principal consultant or someone looking to take the next step in their career. You will work on a diverse workload delivering projects for the public and private sectors across the UK including exciting infrastructure and renewables projects. You will lead on a range of EIA projects within a consultancy environment and provide advice on EIA Regulations and produce Environmental Statements. Experience working on a desire to work on flagship projects including offshore wind and nuclear industries would be advantageous. Requirements A relevant degree and ideally a MSc in a EIA or Environmental Management or similar Previous experience working in a consultancy managing EIA projects UK drivers License In return you will receive a competitive salary, car allowance and an excellent benefits package including a share incentive scheme, option to buy holiday, life assurance and more. An award winning and market leading global multi disciplinary consultancy is looking to hire an Associate Ecologist or Associate Director to work in their Surrey or London office. You will join a business at the forefront of the implementation of Biodiversity Net Gain to wo Salary: £60,000 to £70,000 Per Annum Sector: Ecology and Environmental Contract Type: Permanent Town/City: London / Surrey A Senior or Principal grade Ornithologist is required to join a leading company in environmental and advisory solutions in Birmingham, with remote working options also available. You will join an supportive and collaborative team to deliver a range of projects including renewable Salary: £39,000 to £47,000 Per Annum Sector: Ecology and Environmental Contract Type: Permanent Town/City: Birmingham We are seeking an experienced Coastal Engineer / Scientist to play a key technical and leadership role within the Coastal & Marine Environment team. You will lead on a range of coastal projects, providing expertise in hydrodynamics, geomorphology, flooding, and environmental asse Salary: Competitive Sector: Civil & Structural Engineering, Geotechnical, Ecology and Environmental Contract Type: Permanent Town/City: Bristol An exciting opportunity has arisen for a Principal Ecologist to join a small established environmental consultancy in Exeter. You will work on a range of projects across the South West of England and join an experienced team with excellent training opportunities.As Salary: £45,000 to £55,000 Per Annum Sector: Ecology and Environmental Contract Type: Permanent Town/City: Exeter Principal Ecologist - OxfordshireA Principal Ecologist is required to join a leading multinational, multi disciplinary consultancy in the East of England. This is an exciting opportunity to join an environment to lead on projects where your efforts will be rew Salary: £50,000 to £55,000 Per Annum Sector: Ecology and Environmental Contract Type: Permanent Town/City: Cambridge

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.

NPL is seeking an experienced Higher Scientist based in Teddington to plan and deliver a number of technical activities to take our research to the next level. This full time Research Scientist job comes with a generous salary and benefits package. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research. Also, if commercial opportunities arise from your work, you'll need to flag these - as this is how new products and services are born. At NPL, we learn from each other, respect each other, and work together to do better for ourselves and our customers. Your primary responsibilities will include: Sharing your learnings so that we all benefit and mentoring those with less experience than you Developing partnerships to strengthen our capability Acting as an ambassador for our work externally and being willing to promote what we do Providing technical support for any bids, we may be undertaking Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting edge communications technology. At NPL, we touch ordinary lives in extraordinary ways, and you could too. Research sits at the very core of our business. This is your chance to make an impact to our ground breaking work as you apply your established knowledge and solutions to a range of technical activities. As we're always looking to stretch our capabilities, we'll look to you to spot potential commercial opportunities and to help raise our profile as and when you can. We work as a team here, so any learnings you do make, we'll expect you to share to support in our continued development (you might also turn your hand to mentoring more junior members too). Naturally, you'll keep your technical knowledge up to speed with the latest advances and take responsibility for completing your work to the highest standards, on time and within budget. The role requires at least a graduate degree or a post graduate research degree, in engineering, physics or a science related field, preferably with interest and some knowledge and experience in at least one of the following areas: Rydberg quantum sensing, communications and signal processing Cryogenic 4K on wafer probing, RF and microwave measurements Experience in RF and microwave on wafer measurements, preferably under cryogenic conditions Expertise in commissioning, operating and maintaining cryogenic systems such as dilution refrigerators with some experience in guided RF and microwave measurements Experience on non linear RF measurements and RF noise measurements Ideally, the candidate should have a theoretical and practical understanding of electromagnetics and quantum sciences, expertise in measurement calibration, strong scientific problem solving skills, proficiency in report and paper writing, and the ability to generate creative ideas in an R&D environment. Work within established Health and Safety, and Quality systems to safely produce accurate and repeatable results. Good spoken and written communications skills and the ability to collaborate with colleagues from diverse backgrounds to help us achieve our goals. Ability to plan and deliver against agreed time, cost and quality needs. Evidence of the ability to complete work that requires a high level of attention to detail. Enjoy problem solving and can demonstrate critical thinking, assessing the pros and cons of your approach. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain a minim of BPSS security clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.

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.

Principal - Real World Evidence Location - London or Winchester with hybrid working in line with departmental in-office requirements (Tuesday is a regular in-office team day, currently a minimum 40% in office requirement) In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together clinicians, statisticians, epidemiologists, health economists, bioinformaticians and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. We have already developed a track record for leading approaches to real world evidence generation, health economic modelling and market access strategy. We have been growing the team quickly in response to the demand we are seeing for the innovative service offerings we have developed, and are looking for a Principal in Real World Evidence to join the leadership team of our Health practice. Our real world evidence services span the medicines development lifecycle including clinical phase RWE, payer evidence, drug safety and post launch RWE. What will you be doing? As a Principal in Real World Evidence, you will bring deep subject matter expertise (e.g. in epidemiology, statistics, health data science) alongside excellent people leadership and client engagement skills. This is a senior role and you will be part of the leadership team, helping to develop new service offerings, and providing support to the growing team. Your key areas of responsibilities will be as follows. Delivering excellent client service in RWE by: Leading on the delivery of client projects including being the primary contact for client management and being accountable for efficient project delivery Providing scientific and technical leadership in the conceptualisation and delivery of real world evidence studies Acting as a Subject Matter Expert in RWE on projects and engagements across the breadth of LCP Health Driving the business forward with prospect development by: Leading on developing proposals and progressing client opportunities Generating new opportunities through early engagement with prospects Supporting the extension of the capabilities of the current RWE offering according to your expertise and track record Contributing to the development of LCP Health's sector presence through thought leadership Culture and People Development: As a member of the RWE leadership team, you will actively contribute to the development of the team, including training and coaching Contributing to the management of the RWE team, including taking on specific leadership roles which may include some of resourcing, strategy implementation, QMA, training and development and/or team operations What experience, skills and qualities are we looking for? Significant, demonstrable (likely to be more than 10 years) experience in the life sciences or consulting/CRO industries and a track record of leading multiple RWE studies A track record of leading teams in delivering innovative work in a fast-paced environment A relevant Masters, PhD or MD in a relevant subject (e.g. Epidemiology, Biostatistics, Health Data Science) Expertise in real world evidence with a desire to apply quantitative skills and rigorous science to solving real-world problems in health Extensive experience in working with global real world health data sources for health research An excellent track record in successful business development A commitment to providing excellent service to our clients and be experienced in leading consulting engagements Excellent communication skills, confident, have good presentation skills and be able to explain complex issues to others Initiative and creativity An understanding and appreciation that a consultancy environment will sometimes mean going the extra mile to meet client deadlines Excellent organisational skills, with the ability to coordinate your work and the work of a multi-disciplinary team, regularly multi-tasking across client projects and the development and coordination of less experienced team members What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - email protected

Locations Plymouth, Devon, United Kingdom Apply Before 04/20/2026, 10:55 PM Job Description Organisation: Defence Equipment & Support Salary: £70,300 per annum (plus generous benefits) Grade: Professional I Working Pattern: Full time, Part time, Job Share, Flexible Working Contract Type: Permanent We offer 26.5+ days' holiday, flexible and hybrid working, enhanced parental leave schemes, shopping discounts, and an exceptional employer pension contribution of around 28.97%, to help work work for you. Nationality, visas and vetting: For security reasons this role is open to sole UK nationals only. A 'sole UK national' refers to an individual who holds citizenship solely in the UK, without dual citizenship or nationality from another country. We're unable to offer visa sponsorship. This role requires you to have lived in the UK for the last 10 years and obtain Developed Vetting (DV) security clearance . Clearance must be obtained without any caveats that prevent you from carrying out the role you have been recruited for. If it isn't obtained or is obtained but with caveats that prevent you from carrying out the role, any conditional offer made to you will be withdrawn. Obtaining DV security clearance can be a lengthy process. You'll join us once Security Check (SC) clearance is obtained, and then the more enhanced DV checks will continue after you've started your employment. If SC clearance isn't obtained within 12 months, we reserve the right to withdraw any conditional offer made. Job description Why join Salvage and Marine Operations (SALMO)? SALMO is the MOD's centre of excellence for marine salvage and emergency response. Our multidisciplinary team, ranging from Master Mariners and Naval Architects to Environmental Scientists and Remote Operated Vehicles (ROV) / Autonomous Underwater Vehicles (AUV) Operators, delivers critical support to UK Defence operations around the globe. Whether it's locating downed aircraft on the seabed, surveying wrecks, towing warships, or conducting emergency response drills, our work is as varied as it is vital. Are you motivated by complex maritime challenges and looking to progress into a senior maritime authority role within SALMO? If so, this position offers an exceptional opportunity to apply and grow your expertise. As an Offshore Marine Advisor, you will draw on your Master Mariner background to provide authoritative maritime advice, vessel assurance, and operational oversight across SALMO's offshore activities. You will lead the planning, coordination, and assurance of safe AUV and ROV operations from Dynamic Position vessels, ensuring the effective delivery of subsea survey, inspection, and salvage intervention missions. Acting as SALMO's senior maritime specialist for deployed operations, you will advise on vessel operations, commercial charter arrangements, marine assurance requirements, and the management of operational maritime risk. Working closely with the wider SALMO Seabed Operations team and Defence customers, you will contribute to mission planning, assess operational and environmental constraints, and ensure the safe integration of AUV/ROV activities with host marine platforms. When deployed offshore, you will serve as the on site focal point for SALMO's seabed capabilities, ensuring marine operations are conducted safely and effectively. When working ashore, you will support operational planning and play a critical role in enabling the UK Ministry of Defence to operate safely, lawfully, and to the highest professional standards-even in demanding and dynamic operational environments. This is a unique opportunity to apply your seagoing and marine operations experience to some of the most complex and consequential subsea tasks undertaken in support of Defence. What's in it for you? This is more than just a job; it's a chance to make a real impact. The role is operationally critical and comes with additional allowances under SALMO Terms and Conditions , reflecting the importance and intensity of the work you'll be doing. Provide SME marine operations advice to SALMO project teams during planning and execution of AUV/ROV tasks Lead operational marine assurance for offshore operations, including vessel assurance, DP CAMO/TAMO reviews, platform suitability assessments and risk management. Work with the vessels master to ensure close quarters ships manoeuvring/ DP Operations are conducted safely to enable launch/recovery of the AUV and ROV operational capability. Support the development of operational plans and review safe working practices. Provide on-site operational oversight during offshore deployments, acting as the maritime link between SALMO, vessel crew, and subsea teams. Assure adherence to safety standards, marine legislation, and Defence maritime governance during operations. Contribute to post-mission reviews, lessons learned, and continuous improvement activities across SALMO's marine and subsea operations. Person specification Lead Criterion - Have experience of providing technical advice at a senior level and leading the delivery of successful maritime outcomes in multidisciplinary projects; and Have a wide-ranging depth and breadth of technical experience in marine operations; and Experience managing complex /challenging work with evidence of technical problem-solving and risk management; and And: Be a Sole UK National; and Full UK Driving Licence; and Be able to satisfy requirements of: 2-Yearly ENG1 Seafarers Medical 2., and Be enlisted as a Royal Navy Sponsored Reserve 2. 1 STCW = International Convention on Standards of Training, Certification and Watchkeeping for Seafarers. 2 For recruitment purposes, external candidates do not need to hold these (including no prior commercial diving experience) but must have no known reasons not to achieve this within 6 months of employment. Note: Alternatives to qualifications listed above (which cover England, Wales and Northern Ireland only), is the Scottish SCQF or international equivalent qualification backed up by a statement of comparability from UK ENIC. This role is subject to Retained Grade Terms and Conditions and differ from the DE&S standard Terms and Conditions. For SALMO Retained Grade seeking promotion, please refer to Part 2, Section 10.2 of the SALMO Retained Grade Handbook. In addition to the responsibilities above, the following technical competences and behaviours will be assessed at interview: Core Behaviour 1: Leadership - CSBC 4 Core Behaviour 2: Communicating and Influencing - CSBC 4 Technical Competence 1: ECF_01 Suitable Systems and Systems Thinking - Practitioner Technical Competence 2: ECF_02 Safety Management - Awareness Full time staff employed for less than 5 years are entitled to 26.5 days' annual leave per year, rising to 31.5 days per year after 5 years of service Flexible and hybrid working options Market-leading employer pension contribution of around 28.97% Annual performance-based bonus and recognition awards Access to specialist training and funded professional qualifications Support for progression Huge range of discounts Enhanced parental leave schemes Improving innovation and enriching our culture, diversity of thought is vital to our success. So whether you're looking for a new opportunity, a next step, or a helping hand as you return from a career break, bring your experiences and help deliver for the defence of tomorrow. Here you'll find a supportive, family-friendly organisation to be a part of - and if you need any assistance with your application, just let us know. Any personal data that you provide during the Recruitment process will be treated in accordance with the MOD Privacy Notice which can be accessed here. Disability Confident: Please note as a Disability Confident Leader we want to ensure you receive any reasonable adjustments that you need throughout the recruitment process. If you do require any reasonable adjustments, you can let us know on your online application under the section 'Please indicate and give details of any reasonable adjustments you may require during the recruitment process. Conflicts of Interest: The Ministry of Defence requires all candidates who are successful at interview to declare any outside interests. These declarations will be discussed with successful candidates following the interview process and before a formal offer of employment is made, as some outside interests may not be compatible with MOD civilian roles. This will not, in the majority of cases, prevent employment in MOD, but it is a measure that must be taken to ensure that appropriate mitigations can be put in place to manage any potential, perceived or actual conflicts of interest from the first day of employment. Please Note: In the event of a tied score at interview, the Order of Merit will be distinguished based on the ranking of the assessed behaviours and competencies below: 1st: Core Behaviour 1 2nd: Core Behaviour 2 4th: CV Review In the event of a further tie using the method above, we reserve the right to utilise the Lead criterion, and/or and additional assessment. Feedback will only be provided if you attend an interview. Selection Process Details Your application will go through the following stages of assessment: . click apply for full job details

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.