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Department: Academic/Bath Spa University partnership (BSU) Location: Greenford or Stratford (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices, • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. * Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. * Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. * Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. * Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. * Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. * Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. * Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). * AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. * Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. * Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. * ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. * Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. * Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. * Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools. * Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. * Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). * World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you’ll do * Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. * Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. * Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. * Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for * Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. * A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. * Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices * Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Familiarity with both pre-training and fine-tuning of large-scale models * Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. * A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. * A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you’ll do * Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. * Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. * Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. * Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for * Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). * A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. * Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices * Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. * Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. * A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. * A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science / ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: * Design and implement pipelines for training, evaluating, deploying, and monitoring detection models * Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows * Collaborate with backend and product teams to define integration requirements for trust detection services * Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring * Uphold strong standards around testing, observability, and operational excellence * Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience * Strong commercial experience building and deploying ML pipelines in production * Experience with asynchronous ML inference pipelines * Deep understanding of end-to-end ML workflows from research through to deployment * Ability to operate with ownership in complex, fast-moving environments * Strong communication skills for working with both technical and non-technical stakeholders * Experience designing systems within modern cloud environments such as AWS or GCP * Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.

Data Science Engineer (DV Cleared) Location: London or Manchester Security Clearance: DV Cleared Salary: Up to £80,000 An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment. What You'll Be Doing: • Designing, building and maintaining scalable data processing and integration services, • Supporting Data Science and Machine Learning workloads through well-engineered software solutions, • Developing high-quality, testable code using modern engineering practices, • Working within secure cloud-hosted environments, • Collaborating closely with technical and non-technical stakeholders What We're Looking For Essential: • Strong interest in data, particularly Data Science and Machine Learning, • Solid software engineering background with experience in Java, Python or TypeScript, • Hands-on experience with cloud platforms, • DV Clearance in place Location & Working Pattern: • Candidates must be aligned to either London or Manchester, • Hybrid working, • On-site attendance is required to meet client needs Benefits Package: • 9% non-contributory pension, • Private healthcare, • 25 days annual leave, • Life insurance, • And more If you're a DV-cleared engineer passionate about data-driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long-term development.

• Build models across credit, insurance, pricing, and more., • Leading model development from the ground up to drive business impact., • A great next step for a data scientist who thrives in the modelling space.We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!What you’ll be doingThis role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more.You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now!What experience you’ll need, • Strong background in risk modelling and using these insights to inform business decisions, • Proven experience building risk models from scratch and enhancing existing ones, • Excellent skills in R, Python, or SAS, • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes, • Ability to present to stakeholders and translate risk issues into business applications, • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.), • Knowledge of model risk management, • Experience working outside regulated risk environments, • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modellingWhat you’ll get in returnUp to £90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.What’s next?Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit!

An Outstanding primary school in South Woodford is seeking to appoint an inspirational Class Teacher to join the team from September 2026. This is a high-performing school committed to excellence across the curriculum. Pupils are enthusiastic about learning and the school community is welcoming, with supportive staff and parents working together to ensure every child achieves their best. If you have a genuine passion for education, a commitment to high standards, and the subject knowledge to deliver a rigorous, knowledge-rich curriculum, this could be the ideal opportunity to begin your teaching career. Salary: Outer London MPSContract: Full Time, PermanentStart Date: September 2026 What the School Offers * A strong commitment to professional development through Ambition Institute’s Early Career Teacher programme, with further training and career progression opportunities * Exceptionally well-behaved pupils who are motivated and eager to learn * A knowledge-led approach to teaching and learning, with a teaching policy influenced by Rosenshine’s Principles of Instruction * Specialist teachers delivering Music, PE, French, Design & Technology and Art, allowing class teachers to focus on the wider curriculum * A modern school building with staff car parking, a cycle shed and excellent transport links including a nearby Central Line station * A large staff room with complimentary refreshments and a fully automatic coffee machine * Extensive outdoor space including a large field, pond and woodland learning areas * A commitment to sustainability and becoming an environmentally friendly school * A proud history of educating the South Woodford community for over 150 years * Three days-in-lieu for staff who attend residential trips * Modern, well-maintained resources across the school * A proactive and supportive leadership team committed to staff wellbeing Who Should Apply * Teachers with the academic knowledge to deliver a rigorous, knowledge-rich curriculum * Dedicated professionals who lead by example * Individuals with strong communication and organisational skills * Enthusiastic teachers who are passionate about helping children achieve the highest standards through high-quality instructional teaching This is a fantastic opportunity for an Early Career Teacher to join a thriving, well-resourced school where pupil achievement, staff development and a love of learning are at the heart of everything All applicants will require the appropriate qualifications and training for this role. Please see the FAQs on the Protocol Education website for further details.All pay rates quoted will be inclusive of 12.07% statutory holiday pay. This advert is for a temporary position. In some cases, the option to make this role permanent may become available at a later date.Protocol Education is committed to safeguarding and promoting the welfare of children. We undertake safeguarding checks on all workers in accordance with the DfE statutory guidance ‘Keeping Children Safe in Education’, this may also include an online search as part of our due diligence on shortlisted applicants.We offer FREE online safeguarding and Prevent Duty training to all our workers. All candidates must undertake or have undertaken a valid enhanced Disclosure and Barring Service (DBS) check and subscribe to the DBS Update Service.Full assistance provided. For details of our privacy policy, please see visit the Protocol Education website.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Data Scientist Location: London (Hybrid - 3 days on-site) Salary: DOE (£70,000+) and benefits The Role We are seeking a technically strong Data Scientist to join a growing Fraud & Financial Crime team within a fast-scaling financial services environment. This role is suited to someone who enjoys working at the intersection of analytics, fraud strategy, and data science, with the ability to take ownership of detection logic, models, and decisioning frameworks. You will apply advanced analytics and modelling techniques to enhance financial crime detection, working closely with internal stakeholders and external vendors to deliver scalable, data-driven solutions. This is a hands-on role with real impact, offering the opportunity to shape fraud and financial crime strategy while balancing risk, regulation, and customer experience. Key Responsibilities • Apply advanced analytics to improve financial crime detection and prevention strategies, • Develop, optimise, and maintain fraud / FinCrime detection rules and analytical frameworks, • Build and enhance predictive models to support risk-based decision making, • Support the launch of new products, ensuring appropriate fraud and financial crime controls are in place, • Collaborate with external vendors to assess and implement new tools and capabilities, • Work cross-functionally with Risk, Credit, Operations, and wider business teams, • Translate complex data insights into clear recommendations for technical and non-technical stakeholders, • Contribute to the use of AI and advanced analytics to improve efficiency and decisioning Required Skills & Experience • 5+ years' experience within banking / financial services / financial crime, • Strong SQL and Python skills, with hands-on experience in data analysis and modelling, • Experience developing and optimising fraud / financial crime detection rules, • Exposure to predictive modelling or a clear progression into data science, • Experience working in regulated environments with an understanding of risk and compliance frameworks, • Strong problem-solving skills with high attention to detail, • Track record of working cross-functionally and influencing stakeholders Nice to Have • Combination of vendor + banking / financial services experience, • Experience applying AI / machine learning within fraud or risk environments, • Exposure to fast-paced, high-growth or product-focused businesses What's on Offer • Salary from £70,000+ depending on experience, • Generous benefit package, • Hybrid working - London-based, • Opportunity to join a growing function with real influence on strategy To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000 Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets?A business tackling complex, real-world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance?This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real-world decision-making.Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk-driven insights from remote sensing and time-series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one.What you’ll be working on:• Building and evaluating Machine Learning/DL models for satellite, weather and climate data• Forecasting environmental and risk-related signals (volatility, vegetation stress, land-surface change)• Developing geospatial and remote-sensing models (Sentinel-1/2, GEDI, optical, radar, LiDAR)• Creating time-series and forecasting models for environmental change• Translating business questions into robust modelling problems• Turning research prototypes into scalable, reproducible AI pipelines• Communicating assumptions, uncertainty and results clearlyThe must-haves:• Strong background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape the future of AI-powered environmental and risk intelligence.If it ticks those boxes, don’t hang about message me: Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Team – Data ScienceWorking Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working!Top 3 skills needed for this role: • Expert AI/ML Skills – Strong in both traditional ML and modern LLM/RAG/agentic workflows, • Production Deployment & MLOps – Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal), • Business Partnering – Able to translate business needs into clear technical requirements and work across teamsWhat this role is all about:At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions.Key Actions, • Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment, • Work with the business to gather business requirements for new AI applications, • Design and implement AI applications, • Deploy AI applications into production environments on a Google Cloud Platform, • Collaborate with cross-functional teams to integrate AI applications with Enterprise systems, • Optimise models for performance, scalability, and cost-efficiencyWhat do you need to thrive?, • Demonstrable experience of working with the business to create a detailed set of project requirements, • Strong foundation in traditional machine learning (classification, regression, etc.), • Hands-on experience with LLM-based applications, • Experience building RAG systems and agentic workflows that leverage external tools, • Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.), • Proven track record of deploying AI applications into production environments, • Strong understanding of API development, microservices, and containerization (Docker, Kubernetes), • Knowledge of MLOps best practices, • Excellent problem-solving skills and ability to work in a fast-paced environmentSo, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been, • Create an environment that embraces you as you are and enables you to be your best self, • Give you flexibility on how, where and when you work, • Help you advance your career by playing you to your strengths, • Give you a voice to help our business grow and make Vitality a great place to be, • Give you the space to try, fail and learn, • Provide a healthy balance of challenge and support, • Recognise and reward you with a competitive salary and amazing benefits, • Be there for you when you need us, • Provide opportunities for you to be a force for good in societyWe commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Diversity & InclusionAt Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.Vitality’s approach to sustainabilityVitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

AI Engineer – Azure Foundry • Remote with occasional travel to London, • 6 months initial contract, • £550-£650 per day via Umbrella This role requires successful candidates to go through an SC Clearance. A minimum of 5 years continuous UK residence required. Day-to-day of the role: • Design, build, and maintain AI models and agentic systems that improve regulatory services and internal operations., • Develop and tune machine learning models to ensure accuracy, fairness, and reliability in production use., • Orchestrate intelligent automation workflows using low code/no code platforms and agentic AI frameworks., • Monitor and maintain deployed models and agents, addressing performance drift and ensuring responsible use., • Work as part of a team to ensure business resilience and fix on fail capability of our portfolio of AI products., • Ensure compliance with standards for security, data governance, and responsible AI., • Support proofs of concept and innovation pilots, evaluating new approaches and technologies., • Share knowledge across the organisation, acting as a subject matter expert and champion for AI adoption., • Help to develop internal standards and processes., • Work with stakeholders to help realise their business requirements., • Proven experience developing, tuning, and deploying AI/ML models using frameworks., • Experience with Azure AI Foundry, • Hands-on experience with agentic AI tools and orchestration frameworks., • Proficiency in Python and familiarity with low code/no code platforms such as Microsoft Power Platform., • Strong understanding of responsible AI principles, including explainability, fairness, and ethical deployment., • Familiarity with retrieval-augmented generation (RAG), vector databases, and knowledge graphs., • Ability to work effectively across technical and non-technical teams, with strong communication and collaboration skills., • Awareness of data governance, secure handling of sensitive data, and regulatory considerations., • Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models., • Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value. Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £80,000 to £100,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

About The RoleTeam – Group Architecture and Engineering StandardsWorking Pattern - Hybrid – 2 days per week in the Vitality Bournemouth or London Office. Full time hours.We are happy to discuss flexible working!Top 3 skills needed for this role: • Expert in building scalable, high-quality data pipelines, • Hands-on experience with cloud data platforms, • The ability to optimise, automate, and deliver reliable data solutions independentlyWhat this role is all about:Join us as a Data Engineer and become a driving force behind high-impact, high-performance data solutions. You’ll take ownership of designing and supercharging data pipelines that keep our business moving, bringing fresh thinking and technical flair to every challenge. Your voice will shape our data design principles, your ideas will spark conversation across engineering forums, and your expertise in analytics and operational processing will help unlock smarter, faster decision-making.Key Actions, • Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models, • Deploy and maintain machine learning models as APIs for use in our live environments, • Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems, • Develop datasets and processes that facilitate data modelling, mining, and production, • Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency, and quality, • Research opportunities for data acquisition and new uses for existing data, • Work collaboratively with the Data Science, Data Architecture, and other IT delivery teams to design, construct, install, test and maintain highly scalable data management systemsWhat do you need to thrive?, • A degree in IT, Computer Science, Maths or a related discipline, with 3+ years’ experience across BI, data warehousing, data management, ETL and database technologies, • Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS, • Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments, • High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practicesSo, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been, • Create an environment that embraces you as you are and enables you to be your best self, • Give you flexibility on how, where and when you work, • Help you advance your career by playing you to your strengths, • Give you a voice to help our business grow and make Vitality a great place to be, • Give you the space to try, fail and learn, • Provide a healthy balance of challenge and support, • Recognise and reward you with a competitive salary and amazing benefits, • Be there for you when you need us, • Provide opportunities for you to be a force for good in societyWe commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards.Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out.Ready to find out if we’re the right fit for you? We can’t wait.Diversity & InclusionAt Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.Vitality’s approach to sustainabilityVitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. #LI-HybridIf we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we’ve been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK’s Best Workplaces™ list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We’re using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We’re seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you’ll do * Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities * Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. * Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value * Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users * Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience * Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products * Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you’ll bring * Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. * A track record of thought leadership and delivery across complex products or platform capabilities * Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication * Proven ability to leverage data and insight to define product strategy and customer experience * Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders * Excellent communication skills, able to engage, influence and inspire * Deep understanding of data applications * An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Data Consultant £80,000–£85,000 London / South East | Hybrid with secure site work Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking for a DV Cleared Data Engineer to play a key role in building complex data platforms that directly support critical decision making. This is a hands-on engineering role focused on designing, building and optimising data pipelines within highly controlled, high impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability are essential. The organisation is at the forefront of applying AI within Defence and Government, with strong exposure to platforms such as Palantir and similar large scale data integration technologies. You will be working closely with both technical teams and end users, translating real world problems into scalable, production grade solutions. Key experience required: • Active DV Clearance and willingness to work within secure UK environments, • Strong Data Engineering background with solid programming skills in Python and SQL, • Proven experience designing and building ETL pipelines and data workflows at scale, • Experience working across cloud and on prem data platforms, • Exposure to machine learning or AI driven systems within production environments, • Understanding of complex data integration challenges within enterprise or secure settings, • Ability to engage with stakeholders and operate effectively in delivery focused teams This role would suit someone from a Defence, National Security, or consultancy background who enjoys working on technically demanding problems with real world impact. If you are looking to apply your data engineering expertise within cutting edge AI programmes and secure environments, please get in touch for a confidential discussion.

Senior Legal Technology Specialist Top-tier US law at the forefront of legal tech and innovation is seeking a Senior Legal Technology Specialist, someone who can not only support but actively drive the development and implementation of cutting-edge legal technology strategies and tools. • Salary to £75,000, • Generous employee benefits, • £100 monthly employee contribution, • Complimentary lunch once a week, • Hybrid working – 4 days in the office / 1 day remote, • Support implementation of procedures for capturing, storing, accessing, and sharing materials and information, • Design and manage practice area portals (SharePoint, HighQ) to maintain up-to-date knowledge and resource repositories, • Collaborate with Innovation team and KM/Practice Support Lawyers to advance legal technology strategy, • Manage day-to-day practice technology, including contract analysis, document automation, e-signature, client collaboration, and transaction management tools, • Deliver tailored training and support to lawyers and Business Services staff, including 1:1 sessions for new lawyers, • Design quality assurance workflows to ensure accuracy of portal and client app updates, • Demonstrable experience working in a similar role within a law firm, • Technical proficiency in adopting and implementing new technology, • Experience with collaboration software applications such as HighQ, Legatics, SmartSheet, or SharePoint, • Knowledge of generative AI or machine learning based legal software such as Harvey, CoCounsel, and Kira would be highly advantageous, • Experience with document automation software such as Contract Express, Hotdocs, PatternBuilder or Office & Dragons

AI Governance Lead London - Hybrid£90,000 - £110,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation’s AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance LeadLondon - Hybrid£90,000 - £110,000 + bonus

Company description Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ... ZIPC1_UKTJ

At Qualify Nation Recruitment, we partner with forward-thinking organisations tackling complex, high-impact challenges across AI, cyber security, and data. We’re currently supporting a leading UK technology consultancy in hiring a Machine Learning Engineer—someone ready to move beyond theory and into real-world impact. This is an opportunity to work on cutting-edge AI solutions, contribute to meaningful projects, and grow within an environment that values curiosity, innovation, and long-term development. The Opportunity You’ll join a multidisciplinary team of engineers, analysts, and domain experts working on advanced AI and data-driven systems. Your work will focus on turning complex data into actionable insight—supporting decision-making, improving systems, and solving real-world challenges across security, technology, and digital transformation. What You’ll Be Doing • Designing, building, and deploying machine learning models for real-world applications, • Working with large language models (LLMs) to develop intelligent systems and tools, • Collaborating with cross-functional teams to integrate AI into production environments, • Conducting research, experimentation, and rapid prototyping, • Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines), • Translating business and stakeholder needs into scalable technical solutions, • Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving mindset. • Strong Python skills, • Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn, • Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents), • Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases), • Experience deploying solutions in AWS or cloud environments, • Familiarity with Docker, CI/CD, and version control (Git), • Ability to translate complex requirements into practical AI solutions, • Passion for staying up to date with the latest AI/ML developments Who This Role Is Ideal For • You want to work on meaningful, real-world AI challenges, • You enjoy both research and practical implementation, • You’re comfortable collaborating across technical and non-technical teams, • You’re looking for long-term career growth, not just your next role, • You thrive in environments where innovation and autonomy are encouraged What You’ll Get • Competitive salary + benefits package, • Hybrid working model (Woking + remote flexibility), • Exposure to AI, Cyber, Cloud, and Big Data projects, • A collaborative, high-performing team environment, • Clear progression pathways and ongoing development support, • Opportunity to work on projects with real impact and scale Location Woking (Hybrid) You’ll be based partly in a modern, well-connected office location, with flexibility to work remotely and occasional collaboration on-site. Additional Requirements Due to the nature of the work, candidates must be: • Eligible to work in the UK, • Willing and able to undergo security clearance if required Apply Now If you’re ready to take your machine learning career to the next level and work on impactful, forward-thinking projects: Submit your CV today A member of the Qualify Nation Recruitment team may also contact you for a brief discussion about your application Qualify Nation Recruitment connects ambitious professionals with high-growth opportunities across technology, digital, and data-driven industries.

Company description Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ... ZIPC1_UKTJ

Solutions AI EngineerLondon hybrid (3 to 4 days per week in London) | £65,000 to £90,000 plus benefits This is a chance to join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity to see your work used as critical production infrastructure. The Company They are an AI software company that has evolved from bespoke consultancy into a product-led organisation. Their generative AI platform is used by professional services firms to automate structured, document-heavy workflows in highly regulated sectors. The Role • Work directly with end users to understand requirements and design AI-driven workflow solutions, • Build, configure, and maintain production-grade generative AI features alongside software engineers, • Deliver bespoke proofs of concept that often progress into live product functionality, • Support commercial activity through tailored demos and client-facing solution walkthroughs, • Strong commercial experience using Python in applied AI or machine learning contexts, • Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows, • Experience working closely with clients or end users, translating real requirements into technical solutions, • Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams, • Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation, • Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks, • Salary between £65,000 and £90,000 depending on level, plus benefits, • Hybrid working with a strong in-office culture based in central London, • The opportunity to work on production AI systems used in regulated industries Apply now to explore how this Solutions AI Engineer role could be the next step in your career.

Machine Learning Engineer 6 Month Contract UK Based Join us as a Senior Machine Learning Engineer • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development What you'll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation. We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business. You'll also be responsible for: • Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy, • Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production, • Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance, • Understanding and addressing any shortfalls, for instance, through retraining, • Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes The skills you'll need • To be successful in this role, you'll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You'll also have the ability to use data to solve business problems, from hypotheses through to resolution., • We'll look to you to have experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy. You'll also need: • A good understanding of machine learning approaches and algorithms, • Experience using programming and scripting languages, including Python and Bash, • Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes, • Good communication skills with the ability to proactively engage with a wide range of stakeholders Additional Job Description • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Quality Inspector (CMM / Metrology) -Permanent, Days. Want a quality role that actually uses your full skillset?If you're a strong CMM Inspector who enjoys variety (not being stuck in a booth), wants access to high-spec kit, and likes being the go-to person for GD&T, problem-solving and mentoring - this is built for you. You'll split your time between advanced CMM inspection/programming and hands-on bench metrology, with full software training available on the CMM. About the roleWe're looking for a versatile Senior Quality Inspector to join our precision engineering team, verifying complex, tight-tolerance components and supporting shop-floor process stability. You'll also help develop less experienced inspectors and drive best practice across inspection. Key responsibilities * Perform high-level inspection using CMM's . * Program/run CMM routines and interpret results to support right-first-time quality. * Conduct manual/bench inspections using micrometers (external/internal/depth), digital height gauges, surface finish testers, bore gauges and thread measurement tools. * Create and verify First Article Inspection Reports (FAIRs) to AS9102. * Produce clear inspection reports and maintain robust quality records. * Liaise with the machine shop to resolve dimensional issues and improve process stability. * Mentor/train junior inspectors in CMM and manual measurement techniques. Candidate requirements * Essential: Hands-on CMM inspection experience in an ISO-regulated environment (ISO 9001, AS9100, or equivalent). * Essential: Strong GD&T and ability to interpret complex engineering drawings. * Essential: CMM programming experience and confidence learning/using 3D metrology software. * Strong, practical manual metrology skills with a "shop floor + lab" mindset. This is a permanent job with a recognised employer of choice. You must have current UK right to work to be considered. HRGO are a recruitment agency supporting UK Manufacturing. We aim to respond to all applications.

Full Stack Engineer - Inside IR35 - Hybrid We are looking for a Full Stack Engineer to help design, build, and operate scalable data systems that support analytical and data-driven workflows. You will work closely with users across the business to understand their needs, translate them into robust technical solutions, and continuously improve our data platform. This role is ideal for someone who enjoys working at the intersection of engineering, data, and user experience, with a strong focus on reliability, usability, and iterative improvement. Key Responsibilities • Design, build, and maintain production-grade data systems and pipelines, • Develop scalable solutions for data ingestion, transformation, and orchestration, • Collaborate directly with stakeholders to understand workflows, identify pain points, and deliver impactful solutions, • Operate and improve cloud-based infrastructure and services, • Support analytical and data-intensive workloads with performant, reliable systems, • Contribute to platform tooling and engineering best practices, • Troubleshoot issues and continuously enhance system reliability and performanceRequired Experience, • Some experience building and operating production systems, ideally developed iteratively over time, • Strong proficiency in Python, SQL, and cloud platforms (preferably AWS), • Experience with data pipelines and orchestration tools (e.g., Dagster), • Experience working with analytical or data-intensive workloads, • Ability to work directly with users to understand workflows, identify pain points, and translate them into technical solutions, • Strong problem-solving skills with a systems-thinking mindsetHighly Valuable Experience, • Experience with .NET, ideally C#, • Experience building internal platforms or developer tooling (e.g., PaaS), • Experience supporting data science or analytics workflows, • Experience with CI/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform), • Familiarity with modern data platforms such as Snowflake, • Exposure to machine learning / AI workflows and related tooling, • Strong familiarity with Python libraries and developer toolingNice to Have, • Experience in investment or financial services environments, • Exposure to R or mixed-language analytics ecosystems Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Service Desk Engineer (2nd Line) London (North London) Hybrid (3 days onsite, 2 days remote) | Occasional client travel Are you an experienced IT support professional ready to take the next step in your career? Do you enjoy solving complex technical issues while delivering outstanding customer service, both remotely and face-to-face? We’re looking for a skilled Service Desk Engineer (2nd Line) to join our dynamic Service Delivery Team. About the Role As a 2nd Line Service Desk Engineer, you will be at the forefront of delivering high-quality technical support to our clients. You’ll handle escalated incidents, proactive monitoring alerts, and on-site visits, while helping to mentor and develop the 1st Line team. Key Responsibilities • Respond promptly to technical support requests via phone, email, and ticketing system, • Diagnose and resolve 2nd line and escalated tickets, as well as NOC monitoring alerts, within agreed resolution times, • Provide face-to-face technical support through pre-scheduled client site visits, • Accurately classify, prioritise, and document tickets with detailed notes throughout their lifecycle, • Keep clients and their IT teams regularly updated on ticket progress, • Identify recurring issues and contribute to permanent solutions, • Create and maintain technical documentation and knowledge base articles, • Deliver excellent customer service and a positive support experience at all times, • Manage your own ticket queue, triage effectively, and escalate where necessary, • Liaise with third-party vendors and partners to resolve complex issues, • Support, mentor, train, and develop the 1st Line Service Desk Analysts, • Stay up to date with the latest technologies and cyber security developments, and share knowledge with the team, • Achieve relevant Microsoft and technical certificationsWhat We’re Looking For, • Excellent customer service, telephone, and client-facing skills, • Minimum 2 years’ experience providing IT support across multiple technologies (MSP experience is highly desirable), • Proven experience attending client sites and delivering face-to-face support, • Strong troubleshooting and support experience in the following technologies:, • Windows Server (on-premise and Azure), • Active Directory (on-premise and Azure), Group Policy, Office 365, and SharePoint, • Microsoft Exchange, • Virtualisation technologies (Windows Virtual Desktop, Hyper-V, Virtual Machine Manager, vSphere), • Backup and Disaster Recovery solutions, • Cyber-security tools and concepts (EDR, MFA, AV, incident response), • Networking (TCP/IP, DNS, DHCP, LAN, WAN, Wireless, Switches, Routers), • Windows OS, macOS, and Microsoft Office, • Mobile device configuration and support, • Ability to configure, administer, and support both Windows and macOS devices, • Solid understanding of the cyber threat landscape and security best practices, • Proactive mindset with the ability to anticipate and prevent issues, • Excellent verbal and written communication skills – able to explain complex technical matters clearly to users of all levels, • A genuine passion for learning new technologies, demonstrated through certifications or personal projects, • Strong team player who is also highly self-motivated, • Calm and professional approach when dealing with difficult or demanding situations, • Full UK driving licenceWhat We Offer, • Hybrid working (3 days onsite, 2 days remote), • Varied and interesting workload across multiple client environments, • Opportunities to develop your technical skills and gain certifications

Programme Manager - Data Platform, AI, Data Ecosystem, Data migration, Technology platforms, Analytics, AI Capabilities, Data Integration, Cloud, ERP, Snowflake, Service Transition, Legacy Systems, End-to-end, Transformation, Retail, Budget Management An amazing new opportunity has just become available to join a leading Retail company as a Programme Manager as they embark on a multi-million Technology enablement Programme. This will be a complex multi-workstream and cross department Programme with a focus on Data platforms and AI For this role you must have. • Significant Programme Management experience within Retail environments, • Experience in complex Technology transformation/Large platform migration/separation/large scale integration programmes, • Exceptional knowledge across multiple data platforms, • Experience delivering large complex data migrations or upgrades, • Demonstrable experience managing budgets effectively (min £5m), • Ability to provide regular project tracking, budget forecasting and project delivery alignment, • Confident managing multiple 3 party suppliers and cross-dependent teams Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Data Scientist - Operational & Optimisation-Focused AI£700+ per day | Inside IR35 | Long-term programme (2-3 years) I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well-established, commercially driven organisation.This is a role for someone who enjoys building things that actually run the business - not experiments that sit on a slide deck. You'll be working on postoptimization, decision-making problems where the output of your models directly affects cost, performance, and customer outcomes every day. Location & Contract • Rate: £700+ per day (Inside IR35, depending on experience), • Contract: Rolling 6-month contracts, with a realistic 2-3 year roadmap of work, • Working pattern: Hybrid - 2-3 days per week onsite in West London / Paddington area and West Drayton In this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.You will: • Design and build optimisation, predictive, and prescriptive models that support live operational decision-making, • Work on problems where multiple constraints, trade-offs, and dependencies matter (cost, service levels, experience, risk), • Take solutions from idea model production, and stay involved once they're live, • Iterate based on real-world performance and business feedback, not theoretical metrics I'm particularly keen to speak to you if your background includes: • Hands-on data science using Python, ML Frameworks and modern tooling, • Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems, • Clear examples of models you've personally built and put into production, not just prototyped, • Working with engineers to deploy, monitor, and improve solutions over time Why this role is worth a conversation • The work is meaty, operational, and genuinely impactful, • You'll be surrounded by people who understand and value good data science, • There's long-term stability (not a short "fire-and-forget" contract) This is a specialist role, and CVs that read as academic, R&D-only, or proof-of-concept-focused tend not to land well. Please make sure your CV clearly shows: • What you personally built, • How it was used in production Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Data Scientist – Marketing Effectiveness – £60k–£95k – MMM – AIMMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |Do you want to work with a business that is a global leader in Marketing Effectiveness and AI-powered solutions?A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real-world impact from data?A genuine opportunity to lead high-impact MMM programmes, influence C-suite decision-making, and work alongside high performers across the globe?An opportunity to join a mission-driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI. They don’t just build models, they turn insights into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day-to-day client contact, running workshops and senior-level presentations.They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts.The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries.If it ticks those boxes, don't hang about - apply or email me on MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |

DATA ENGINEER £90,000 LONDON / MANCHESTER Our client is looking for a Data Engineer to join a fast-growing adtech scale-up tackling real-time data problems at serious scale. This is a role for someone who enjoys ownership, impact, and working close to Data Science on systems that directly influence business outcomes. You'll be helping to shape the data foundations behind large-scale machine learning and fraud prevention. THE COMPANY A fast-growing SaaS business building technology to help advertisers improve performance and reduce wasted spend. The platform uses real-time data and advanced analytics to deliver clear, actionable insights at scale.This is a growth role within a collaborative, high-tempo environment, offering exposure to greenfield work alongside the challenge of scaling systems that process large volumes of data.THE ROLE • Design, build, and maintain data ingestion pipelines to ensure high-quality, well-structured warehouse data, • Develop pipelines that prepare data for machine learning, experimentation, and analytics use cases, • Improve and optimise the existing AWS Redshift data warehouse for performance and cost efficiency, • Work closely with Data Science and Engineering teams to productionise models and scale data infrastructureYOUR SKILLS AND EXPERIENCE, • Strong experience with Python and SQL, • Hands-on AWS experience (Redshift, S3, Glue, Athena), • Experience building data pipelines for high-volume or event-driven data, • Comfortable owning data systems end-to-end in production environmentsSALARY AND BENEFITS, • Base salary: £70,000 - £90,000, • Hybrid working (2 days in the office), • 27 days annual leave and bank holidays, • £500 annual wellbeing budget, • Up to £1,500 home office budget, • Enhanced parental leave

Data Scientist / Machine Learning Scientist - Outside IR35 Location: London (Hybrid)Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production-ready LLM and agentic solutions-not just prototypes. What You'll Do: • Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration), • Develop multi-step intelligent systems for planning, memory, and real-world tool usage, • Deliver recommendation, classification, and forecasting systems on large-scale datasets, • Automate complex workflows and decision-making, driving measurable business impact, • Own problems end-to-end: from exploration to production deployment and iteration, • Integrate AI into products, APIs, and business processes for scalable, reliable solutions, • Strong Python skills and production-grade coding experience, • Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production, • Hands-on experience with AI agents, agentic workflows, and multi-step reasoning, • Experience designing and implementing RAG systems with real-world impact, • Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI), • Understanding of LLM limitations and trade-offs (hallucination, latency, cost), • Cloud deployment experience (AWS, GCP, Azure), • Masters or higher in Maths, Science, or Computer Science, • Ownership mindset, bias for action, and strong product focus, • Experience with SaaS/B2B AI products or AI-driven business transformation, • Background in high-growth/scaling environments, • Evidence of systems delivering real value in production Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Microsoft Fabric Engineer - London Hybrid working - London Salary upto £90,000 A leading client in London seeks a Microsoft Fabric Engineer to design and deliver data and AI solutions on the Microsoft Fabric platform. As Technical Lead for a small team, you'll oversee end-to-end architecture, develop scalable analytics solutions, and stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, • Demonstrated hands-on experience with Microsoft Fabric and Power BI., • Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL., • Proven record of technical leadership and effective stakeholder engagement., • Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI., • Lead architectural design, capacity planning, and performance optimization efforts., • Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML., • Implement governance, security, and DevOps best practices., • Mentor engineers and contribute to the development of platform strategy. Interested? Please submit your updated CV to Emma Siwicki at Harvey Nash for consideration.

AI Product Manager Location: London (Hybrid – 3 days onsite) Salary: £130,000 – £150,000 + Bonus + Benefits Job Type: Permanent Hiring Company: 167 Solutions (on behalf of a global client) Overview 167 Solutions is recruiting for an experienced AI Product Manager to join a global organisation. This role will focus on building and delivering AI-powered products that solve real-world user problems, with ownership from concept through to launch and ongoing optimisation. Key Responsibilities • Lead end-to-end product development from ideation to launch, • Define product vision, roadmap, and MVP strategy, • Identify user needs and translate them into AI-driven product solutions, • Develop and deliver Generative AI features using modern frameworks and tools, • Collaborate with engineering and data teams to build scalable solutions, • Use data, testing, and user feedback to continuously improve product performance, • Engage with senior stakeholders to align product direction with business objectives, • Take ownership of product outcomes, including user adoption and commercial successKey Requirements, • Proven experience as a Product Manager or AI Product Manager, • Experience delivering new products or features from concept to launch, • Experience working on AI, Machine Learning, or Generative AI products, • Strong understanding of user-centric product development, • Experience with tools and platforms such as:, • AWS (AI/ML services), • Hugging Face, • LLMs and Generative AI workflows, • Ability to work in fast-paced, ambiguous environments, • Strong stakeholder management and communication skills, • Commercial awareness and outcome-focused mindsetDesirable Skills, • Experience working on large-scale digital or consumer-facing products, • Familiarity with agile development methodologies, • Experience working closely with data science or engineering teamsBenefits, • Competitive salary and bonus structure, • Hybrid working model, • High level of ownership and career progression, • Opportunity to work on innovative, cutting-edge AI products

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team to build, deploy, and support high-performance data-driven solutions. The role involves: • Interpreting Outcomes and user stories and translating them into technical solutions., • Creating innovative solution designs for domain and enterprise data products., • Overseeing Data Analysts to support detailed data discovery., • Overseeing data modelling for Finance and Enterprise data products., • Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery., • Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain., • Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities • Work with Product Owners and Business Analysts to understand Outcomes, refine user stories., • Lead solution design for Finance and Enterprise data products, ensuring alignment with enterprise patterns and guardrails., • Direct and collaborate with Data Analysts on detailed data discovery, source understanding and requirements refinement., • Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required., • Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake)., • Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established patterns., • Apply security, access control and compliance standards for Azure and Databricks in collaboration with platform and security teams., • Support monitoring, logging and basic cost optimisation for the team’s data products., • Support the development of DevOps practices within the team, including reducing technical debt and improving automation over time. Skills, Knowledge and Experience Lead Data Engineers are expected to have strong capability in at least three of the following areas of engineering practice. Core skills • Automation including testing of data pipelines and data products., • Strong teamwork, communication and problem-solving skills to collaborate effectively with cross-functional teams., • Awareness of security principles and best practices to ensure secure data solutions., • Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends., • Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar)., • Excellent time and self-management through effective planning and prioritisation of tasks., • Proven and demonstrable data engineering capability., • Ability to influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology / Microsoft) • Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous)., • Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous)., • Experience contributing to CI/CD pipelines (Azure DevOps, GitHub Actions, Terraform)., • Scripting and programming skills (Python advantageous)., • Good understanding of DevOps and automation concepts (e.g. YAML pipelines, IaC)., • Solid understanding of cloud security, compliance and governance principles., • Experience working with Databricks and Azure in a product or Scaled Agile delivery environment. Qualifications • Degree level IT or technical/scientific subject (or equivalent experience)., • Microsoft Azure Data Engineer or Solutions Architect certification (desirable)., • Databricks Certified Data Engineer or Machine Learning Associate (desirable)., • Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable)., • Knowledge of machine learning and AI on Databricks (desirable).