Trabajos machine learning en Reino Unido

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.

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments. We're looking for individuals with: • Experience: Proven background as a Machine Learning Engineer., • Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)., • Data transformation & manipulation: experience with Airflow, DBT and Kubeflow, • Cloud: Experience with GCP and Vertex AI (developing ML services)., • Expertise: Solid understanding of computer science fundamentals and time-series forecasting., • Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: 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.

AI Director - Financial Services - London - £140k Please note - this role will require you to be UK based with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship. Our client is a leading financial services organisation undergoing a major digital and data transformation. With significant investment in AI and machine learning, they are now looking for an AI Director to define and lead their enterprise-wide AI strategy - placing Google AI technologies at the heart of their operating model. This is a high-visibility, high-impact leadership role where you will shape the future of AI within a complex, data-rich environment. As AI Director, you will be responsible for building, scaling, and governing AI capabilities across the business. You will partner with senior stakeholders, technology teams, and data leaders to accelerate adoption of Google AI technologies while ensuring compliance, robustness, and measurable business value. Key Responsibilities: • Develop and own the organisation's AI strategy, with a specific focus on Google AI/Vertex AI capabilities., • Lead the design, deployment, and optimisation of machine learning and generative AI solutions across multiple business units., • Build and manage a high-performing team of AI engineers, data scientists, and ML operations specialists., • Establish governance frameworks to ensure ethical, secure, and compliant AI usage., • Drive commercial value through automation, intelligent decisioning, predictive analytics, and GenAI-powered workflows., • Collaborate with C-suite leaders to embed AI into the broader digital transformation roadmap. You'll be an influential leader with a proven track record delivering AI at scale in regulated environments, with skills across the following areas: • Deep expertise in Google Cloud AI stack (Vertex AI, BigQuery ML, Generative AI tools)., • Experience leading AI, ML, or data science functions within financial services or similarly regulated industries., • Strong understanding of cloud architecture, MLOps, and enterprise-grade AI deployment., • Proven ability to translate complex AI concepts into commercial outcomes., • Ability to influence at senior/executive level and drive cultural adoption of AI., • Base salary up to £140,000, • Annual bonus + extensive benefits package, • Strategic leadership role with ownership of enterprise AI vision, • Opportunity to build a greenfield AI function leveraging cutting-edge Google technologies 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.

Role:- Software Engineer - (Machine Learning / AI Research) Location: London, UK (hybrid, 3 days onsite) Contract: 6 months (extension possible) About the Role We are looking for a Software Engineer III (Machine Learning / Research Engineering) to join a cutting-edge AI research team based in London. This role focuses on advancing large-scale machine learning systems and building next-generation intelligent agents. You’ll work alongside world-class researchers and engineers on innovative projects aimed at pushing the boundaries of AI and automation. Key Responsibilities • Conduct advanced research in machine learning systems and AI, • Design and develop tools, infrastructure, and methods for large language models (LLMs), • Build and optimise intelligent agents for automation and research workflows, • Collaborate with cross-functional teams to define and execute research roadmaps, • Translate research insights into scalable engineering solutions, • Implement high-quality code using Python and modern ML frameworks, • 2+ years of experience in machine learning, AI, or related fields, • Strong programming skills in Python, • Hands-on experience with frameworks such as PyTorch, • Experience working with large datasets and machine learning models at scale, • Ability to design and run complex experiments, • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Qualifications • Experience in generative AI or large language models, • Exposure to LLM training, fine-tuning, or post-training techniques, • Research-focused Master’s or PhD in a relevant field, • Background in mathematics, physics, or related disciplines

The role: To succeed in this role, you must enjoy a fast-paced, high-execution culture and maintain exceptional standards at a critical stage. In particular, you will: Design, build, and maintain critical credit risk models and machine learning pipelines. Own performance monitoring that is delivered to the board. Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders). Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap. Be a self-starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills. Tech stack: AWS/GCP Python - Preferred Docker Preferred or Kubernetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience & skills: 5+ years of commercial experience as a Data Scientist with current tech stack. Relevant degree, e.g., Computer Science or Statistics. Comfortable with AWS and Cloud Infrastructure.

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 Architect The Data Architect will play a vital role in shaping and implementing data strategies within the financial services industry. Based in London, this permanent position offers an excellent opportunity to design and manage data architecture for a forward-thinking organisation. Client Details Data Architect This organisation operates within the financial services industry and is recognised for its innovative approach to data driven solutions. As a mid-sized company, they focus on analytics and strive to deliver exceptional results to their clients and stakeholders. Description Data Architect • Develop and maintain enterprise-wide data architecture frameworks that are secure, scalable and aligned with organisational and regulatory requirements., • Design logical and physical data models, data flows and integration patterns across platforms such as Microsoft Fabric, data lakes and data warehouses., • Partner with analytics, engineering and business teams to ensure seamless data integration and the availability of high-quality, accessible data., • Implement strong data governance and compliance practices, ensuring adherence to data protection, security and industry standards., • Evaluate, recommend and support the adoption of modern data technologies and tools, including Microsoft Fabric, Power BI, Copilot and emerging AI/ML solutions., • Lead data platform modernisation initiatives, including optimisation of existing environments and supporting transitions from legacy systems to cloud-based solutions., • Provide clear technical guidance to cross-functional teams, translating complex data and AI concepts into actionable insights for a range of stakeholders., • Monitor and optimise data systems to enhance performance, reliability, accuracy and operational efficiency., • Support the integration of machine learning and AI solutions, ensuring ethical governance, ongoing monitoring and responsible deployment. Data Architect The ideal candidate will bring a strong background in data architecture and data management, with hands-on experience designing scalable, secure and high-quality data solutions in modern cloud environments. They will be highly proficient in data modelling, integration patterns and analytics-enabling platforms such as Microsoft Fabric, Power BI and related data technologies. • Strong background in data architecture and data management, with proven experience designing scalable and secure data solutions., • Expertise in data modelling, integration patterns and modern cloud-based platforms such as Microsoft Fabric., • Solid understanding of data governance, security and compliance standards, including best practices for protecting sensitive information., • Excellent analytical and problem-solving capabilities, with the ability to translate complex data challenges into practical, effective solutions., • Strong communication skills, able to collaborate confidently with technical and non-technical teams and influence stakeholders., • Experience evaluating and adopting modern data technologies, along with a proactive approach to optimisation, automation and continuous improvement. Data Architect • Competitive salary ranging from £75,000 to £90,000, depending on experience., • Comprehensive benefits package designed to support your financial, physical and mental well-being., • Opportunities to work in London within a respected and growing financial services organisation., • Permanent position offering long-term stability and clear opportunities for career growth., • Occasional travel to other office locations to encourage collaboration and cross-functional working.

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.

Reed.ai is looking for a Senior Developer to join their team in Holborn, London. Overview Join a collaborative, forward-thinking team that values creativity, experimentation, and impact—and help redefine the future of recruitment through intelligent, human-centered technology. We’re looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platform as it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market release and beyond, shaping its trajectory at every stage. You’ll be central to transitioning product development from an external agency to an in-house team, while driving technical excellence, user adoption, and long-term innovation. This is a chance to build something meaningful from the ground up—within a startup-style venture backed by the strength and stability of an established business. Key Responsibilities * End-to-end development of high-quality, scalable SaaS platforms from design through deployment and maintenance. * Architect and implement robust backend services primarily using Python and PostgreSQL. * Develop and maintain responsive, performant front-end applications with TypeScript and modern frameworks (e.g., NextJS, NodeJS). * Collaborate with product owners, UX/UI designers, and other stakeholders to translate requirements into technical solutions. * Champion agile ways of working, driving continuous improvement and delivery excellence. * Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. * Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing, and deployment. * Participate in code reviews, architecture discussions, and system design decisions. * Troubleshoot and resolve complex technical issues across the full stack. * Ensure software security, scalability, and performance are maintained at all times. * Keep abreast of emerging technologies and industry trends to inform strategic decisions. Skills and Experience * Minimum 8 years of commercial software development experience, with at least 3 years in a senior or technical lead role. * Proven expertise in full-stack development using: * TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) * Python (including frameworks like Django, Flask, or FastAPI) * PostgreSQL and relational database design, optimization, and maintenance. * AI Development Tools such as Windsurf, Aider or Augment. * Demonstrable experience building and scaling SaaS platforms in a production environment. * Strong understanding and practical application of Agile software development methodologies. * Hands-on experience integrating AI tools, APIs, or platforms into software solutions. * Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. * Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). * Experience with CI/CD pipelines, automated testing, and DevOps practices. * Solid grasp of security best practices, data privacy, and GDPR compliance. * Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. * Strong problem-solving skills and a pragmatic approach to delivering solutions. * Desirable * Experience with containerisation and orchestration tools such as Docker and Kubernetes. * Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). * Knowledge of front-end performance optimisation and accessibility standards. * Exposure to machine learning pipelines or data engineering workflows. * Prior experience working in startup environments or high-growth technology companies. Benefits * Hybrid working as standard * 25 days annual leave plus bank holidays * Flexible holiday scheme * Paid time off to move home * Contributory pension scheme * Enhanced family leave benefits * Insurance benefits including life assurance * Love Mondays events * Discount scheme including gyms and popular retailers * Range of wellbeing and mental health support avenues * Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep.

• 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!

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.

Databricks Data Architect - Hybrid - Permanent Job Summary We are looking for a Databricks Data Architect with Databricks certifications to design and implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities * Design and implement data architectures on the Databricks Lakehouse Platform * Build and optimize ETL/ELT pipelines using Apache Spark and Databricks * Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) * Ensure data governance, security, and performance optimization * Integrate Databricks with cloud platforms and enterprise data sources * Collaborate with data engineers, analysts, and stakeholders to deliver scalable data solutions Required Skills & Qualifications * Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional) * Strong experience with Databricks, Apache Spark, and Delta Lake * Proficiency in Python, SQL, and data pipeline development * Experience with cloud platforms (Azure, AWS, or GCP) * Solid understanding of modern data architecture and big data solutions To apply for this role please submit your CV or contact Dillon Blackburn on or at . 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.

Key Responsibilities • Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS., • Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform., • Design and govern data transformation frameworks using DBT., • Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models., • Lead architecture reviews and solution design discussions for new data initiatives., • Optimize Snowflake performance, workload management, and cost governance., • Establish data governance frameworks including access control, data security, and compliance standards., • Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling., • Provide architectural guidance to data engineering, BI, and analytics teams., • Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms., • Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow., • Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy., • Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting. Required Technical Skills Data Platform • Strong expertise in, • Snowflake, • Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization. Cloud Platform Strong experience with Amazon Web Services, including: • S3, • IAM, • AWS Glue, • Lambda, • CloudWatch Data Transformation • Strong experience with, • DBT, • for enterprise-scale data modelling, testing, and transformation pipelines. Programming / Query • Strong expertise in SQL for data transformation and performance optimization, • Python (preferred) for automation and data engineering tasks. Data Engineering • Enterprise ETL / ELT pipeline architecture, • Data warehousing and enterprise data modelling, • Dimensional modelling (Star Schema, Snowflake Schema), • Data pipeline scalability and reliability design. AI / Data Science Exposure • Experience supporting AI/ML data pipelines and data preparation for machine learning models., • Understanding of predictive analytics, recommendation engines, and customer behaviour analytics., • Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills • Experience with Apache Airflow for pipeline orchestration., • Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows., • Experience with data governance, metadata management, and enterprise data catalog tools., • Experience with BI tools such as, • Tableau, • Microsoft Power BI., • Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting.

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.

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.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

Lead AI Architect - Permanent - Hybrid - Insurance OverviewAs a Lead AI Architect, you will define and drive AI architecture strategy, supporting clients to design, implement, and operate scalable platforms that enable the effective deployment of AI models. You will play a key role in shaping and delivering innovative architectures that integrate AI capabilities with existing insurance systems and digital platforms. Key Responsibilities * Translate the vision of senior client stakeholders into an AI, ML, and GenAI architectural strategy and implementation roadmap, ensuring alignment with organisational goals and digital transformation initiatives. Provide guidance on the suitability of AI and ML initiatives and identify use cases that can scale across the organisation. * Design, recommend, and implement end-to-end architectures that integrate AI and ML solutions with existing insurance platforms and enterprise systems. * Collaborate with enterprise, application, data, and DevOps architects, along with data scientists, MLOps engineers, GenAI engineers, and business teams to design architecture and pilot use cases. * Evaluate and select appropriate technologies from open-source and commercial ecosystems, considering deployment models and integration with existing enterprise tools. * Support the successful delivery and ongoing operational improvement of AI-powered applications using agile delivery methods. * Work closely with security, governance, and risk teams to anticipate and mitigate potential risks, ensuring ethical AI implementation and compliance with emerging regulatory requirements. * Develop and maintain relationships with senior client stakeholders, contribute to proposal development, and support pricing and solution strategy. * Lead and manage diverse teams, fostering an inclusive culture where contributions are recognised and valued. * Support the development of junior team members through mentoring, on-the-job coaching, and structured development programmes. Skills and Professional Experience Essential * Experience in data science and an understanding of mathematical and statistical concepts relevant to AI and machine learning. * Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. * Experience architecting scalable, high-performance, and cost-optimised AI and ML solutions using serverless technologies, containerised deployments, Kubernetes, and GPU-based compute infrastructure. * Working knowledge of generative AI and hands-on experience deploying and hosting large foundation models. * Experience with large language model architectures such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools * Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. * Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous improvement lifecycles. * Experience developing and integrating APIs, particularly for serving machine learning models. * Experience building enterprise-integrated solutions that deliver end-to-end capabilities and the ability to recommend appropriate architectural approaches based on use case requirements. To apply for this role please submit your CV or contact Dillon Blackburn on or at . 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.

Head of AI & Data – Chief Data Office London – Hybrid | £140,000 - £150,000 + up to 45% bonus + 15% car allowance VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands-on, strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business. Key Responsibilities * Develop and execute the UK AI strategy, aligned with business and global priorities. * Build and scale an AI team and Centre of Excellence, mentoring and growing talent. * Lead the design, development, and deployment of machine learning models into production. * Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. * Enable innovation through sandbox environments, tooling guidance, and accelerators. * Influence and collaborate with senior stakeholders to translate AI into measurable business value. * Drive data-centric AI initiatives, ensuring compliance and alignment with enterprise architecture. * Collaborate with global AI teams to align strategy, frameworks, and best practices. Key Requirements * Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. * Proven experience building and scaling AI/ML teams (0–10 / 0–15). • Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. * Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). * Knowledge of Responsible AI, ethical frameworks, and compliance standards. * Experience in insurance or regulated financial services preferred. * Comfortable presenting to and influencing executives. * Collaborative, adaptable, and able to navigate complex stakeholder environments. To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply).

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.

Job Title: Computational Linguist / Linguist (Multilingual AI) Location: Remote-UK Duration: Until December 2026 (Contract) About the Role We are seeking a Computational Linguist to support multilingual AI research projects involving language analysis, dataset development, and linguistic evaluation of AI model outputs. The role focuses on applying linguistic expertise to large language datasets and collaborating with engineers and researchers to improve language technologies such as translation, speech systems, and multilingual language models. This position is ideal for someone with a strong theoretical linguistics background and experience working with natural language processing (NLP) systems and multilingual data. Key Responsibilities • Perform linguistic analyses on large multilingual datasets., • Conduct error analysis of AI-generated text, identifying frequent and critical linguistic errors., • Develop and maintain annotation guidelines for language-related AI projects., • Conduct typological and sociolinguistic research across multiple languages., • Evaluate linguistic outputs related to translation, speech recognition, and language generation systems., • Perform Responsible AI language analysis, including detection of toxic language, bias, and cultural sensitivity issues., • Review linguistic research literature and summarize findings for technical teams., • Compare vendor deliverables and identify recurring linguistic error patterns., • Collaborate with engineers, researchers, and native speakers across multiple languages., • Communicate linguistic insights and analysis results to cross-functional teams. Required Skills • Strong written and verbal communication skills, including research and business communication., • Native or near-native proficiency in at least one language other than English (Hindi strongly preferred)., • Proficiency in Python for data analysis., • Experience querying databases using SQL., • Ability to manage multiple research or analysis tasks simultaneously., • Strong analytical thinking and attention to linguistic detail., • Ability to work independently and manage priorities effectively. Preferred Skills • Experience working with low-resource languages., • Familiarity with international language classification standards., • Experience collaborating with machine learning engineers, NLP researchers, or data scientists., • Background in corpus linguistics or linguistic fieldwork., • Experience contributing to academic or technical research publications., • Basic project management knowledge. Education • Master’s or PhD in Linguistics or a related field required (PhD preferred)., • Strong foundation in the following areas:, • Language typology, • Syntax and morphology, • Sociolinguistics, • Corpus linguistics, • Phonology and writing systems, • Pragmatics, • Experience with basic Natural Language Processing (NLP) techniques is required. Experience • 0–3 years of relevant experience in linguistics, language data analysis, or NLP research., • Experience working in cross-functional technical environments is beneficial.

We're looking for an AI Technical Architect to lead the design and delivery of cutting-edge Generative AI and Agentic AI solutions for major global organisations. This is a senior, client-facing role where you'll combine deep technical expertise, architecture leadership, and strategic advisory to shape high-impact AI transformations. The Role As an AI Architect, you will play a key role in shaping enterprise AI strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture * Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. * Build scalable architectures using modern cloud platforms (Azure, AWS or GCP). * Lead the design of RAG-based solutions, AI assistants, and autonomous agent systems. Technical Leadership * Guide the end-to-end delivery of complex AI implementations. * Evaluate and select models, frameworks and orchestration tools. * Ensure solutions are scalable, secure and production-ready. Client Advisory * Act as a trusted advisor to senior stakeholders during workshops, discovery sessions and transformation programmes. * Support pre-sales activities including solution shaping, proposals and business cases. Innovation & Strategy * Contribute to AI thought leadership and go-to-market propositions. * Identify opportunities to optimise operations, improve productivity and unlock new value through AI. Your Experience We're looking for a strong mix of AI architecture expertise, hands-on engineering knowledge and consulting capability. Key Skills & Experience * Proven experience architecting Generative AI, Agentic AI, machine learning and automation solutions in enterprise environments. * Strong expertise in LLMs and RAG architectures, including models such as OpenAI, LLaMA, Mistral or Claude. * Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph. * Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). * Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies. * Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). * Knowledge of MLOps / LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). * Experience delivering AI solutions on AWS, Azure or GCP * Experience leading or mentoring teams of AI engineers or data scientists. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Join a global technology and consulting organisation delivering large-scale digital and AI transformation for some of the world's most recognised enterprises. You'll work on complex, high-impact projects building next-generation AI, GenAI and agentic systems within enterprise environments. AI Engineer (Python Full-Stack) London | Hybrid (1-3 days onsite)Permanent | £70,000-£90,000 + bonus + benefits We're looking for an AI Engineer with strong Python full-stack expertise to design, build and deploy scalable AI applications that integrate into modern cloud and enterprise platforms. The Role You will develop end-to-end AI solutions, combining modern software engineering with advanced machine learning and generative AI capabilities. Key Responsibilities * Build and deploy full-stack AI applications including APIs, services, and user-facing interfaces. * Develop GenAI, Agentic AI and machine learning solutions that are scalable and production-ready. * Design and implement RAG pipelines, LLM-powered applications and intelligent agents. * Integrate AI solutions with enterprise platforms and cloud environments. * Collaborate with data scientists, engineers and business stakeholders to deliver impactful AI products. * Contribute to technical best practices, innovation, and AI engineering standards. Key Skills & Experience * Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). * Experience building applications using LLMs (GPT, Llama, Mistral, Claude) including prompt engineering, fine-tuning and evaluation. * Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex and agent frameworks like AutoGen, CrewAI or LangGraph. * Experience building RAG architectures with vector databases (Pinecone, Weaviate, FAISS). * Strong understanding of MLOps / LLMOps (MLflow, Kubeflow, Docker, Kubernetes). * Experience deploying AI solutions on AWS, Azure or GCP. * Solid software engineering and full-stack development experience in enterprise environments. * Knowledge of advanced AI systems such as autonomous agents, reasoning engines and knowledge graphs. * Strong collaboration and communication skills within cross-functional teams. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

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.

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.

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 |

Data Architect - Databricks £120,000-£125,000 base + benefitsLondon (Hybrid: 2-3 days per week onsite) We're looking for an experienced Data Architect who can shape and deliver large-scale analytics platforms using Databricks and modern Lakehouse principles. This role is ideal for someone who enjoys working directly with clients, influencing data strategy, and designing high-quality, scalable solutions that enable AI, advanced analytics, and enterprise reporting. You'll join a growing architecture team where you'll play a key part in defining best practices, leading engagements, and supporting clients at the early stages of their data transformation journeys. What You'll Bring • Extensive experience designing and delivering end-to-end data platforms using Databricks, with a strong focus on Lakehouse Architecture, Delta Lake, and scalable data engineering patterns., • A solid background in data analytics, consulting, or a similar technical discipline., • Strong knowledge of structured and unstructured data patterns, and fluency in data modelling approaches such as 3NF, Kimball, and Data Vault., • Hands-on experience exposing Lakehouse solutions to BI tools (e.g. Power BI, Tableau)., • Proficiency in Databricks Workflows, Delta Live Tables, and Spark for batch and streaming pipelines., • Strong programming capability in Python, Scala, and/or SQL., • Practical experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of how Databricks interacts with cloud compute, storage, networking, and security., • Familiarity with RBAC, IAM, encryption, and Databricks security best practices., • Clear and confident communication skills, with the ability to work with both technical and business stakeholders.Useful Certifications (Not Essential), • Databricks Data Engineer Associate / Professional, • Databricks Machine Learning Associate / Professional, • Databricks Generative AI Fundamentals, • Databricks Lakehouse FundamentalsWhat You'll Do, • Design and implement modern Lakehouse solutions that optimise data ingestion, transformation, processing, governance, and analytics., • Advise clients on best practices, architecture patterns, and scalable approaches to building data platforms., • Build strong relationships with stakeholders, clearly articulating architectural decisions and trade-offs., • Help shape client data strategies, including governance, quality frameworks, and delivery approaches., • Lead architectural workstreams or full engagements, ensuring delivery aligns with scope, budget, security, and performance expectations., • Troubleshoot, tune, and optimise Databricks solutions for cost and efficiency., • Implement governance and cataloguing through tools such as Unity Catalog or Microsoft Purview., • Drive CI/CD adoption using GitHub Actions, Azure DevOps, or Databricks Repos., • Support testing, documentation, and handover to operational teams., • Contribute to internal architectural frameworks, reusable accelerators, and best-practice patterns., • Generous annual leave, • Private medical cover, • Wellbeing support, • Ongoing investment in training and certification, • A culture that recognises high performance and offers opportunities to shape impactful client outcomes

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.

Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment? We’re an early-stage, well-funded technology company building a next-generation intelligent hardware product, combining edge devices with cloud-based AI. Backed by experienced founders with a strong track record of building and scaling successful companies, this is a rare opportunity to shape a product from the ground up. Audio is a critical part of the product roadmap — with significant potential to unlock deeper data intelligence than traditional video-based systems — and we’re looking for an engineer to take ownership of this space end-to-end. Why Join • Work on a greenfield product at an early stage, • Own a core product pillar (audio + AI) from day one, • Collaborate across embedded, cloud, and ML teams, • High autonomy in a low-ego, high-performance environment, • Competitive salary + equity, • Strong long-term growth and learning opportunities The Role You’ll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration. This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software. Key Responsibilities • Design and build end-to-end audio pipelines (edge cloud), • Implement and optimise DSP components (e.g. filtering, noise suppression, VAD), • Develop audio processing systems under real-time and resource constraints, • Build tools for analysis, testing, and performance evaluation, • Collaborate with ML engineers to enable audio-driven intelligence, • Debug and improve system performance across the full stack About You • 0-3 years’ experience in software engineering, embedded systems, or audio/ML, • Coding skills (C/C++ and/or Python), • Understanding of audio processing / DSP fundamentals, • Interest or experience in Audio ML, signal processing, or real-time systems, • Comfortable working across hardware and software boundaries, • Strong problem-solving ability and curiosity Nice to Have • Experience with audio codecs, streaming, or real-time systems, • Exposure to PyTorch / TensorFlow or ML pipelines, • Familiarity with cloud platforms (AWS or similar), • Competitive salary (flexible based on experience) + equity, • Visa sponsorship available (international candidates welcome), • In-person, highly collaborative working environment, • Opportunity to shape a core product capability in a scaling startup Apply Now If you’re excited by building real-world systems at the intersection of audio, embedded engineering, and AI, we’d love to hear from you. Keywords: Audio Engineer, DSP Engineer, Embedded Software Engineer, Audio ML Engineer, Signal Processing Engineer, Edge AI Engineer

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

AI Architect Up to £110,000 About the Role I am seeking an experienced AI Architect to help design and deliver advanced AI and Generative AI solutions within a global professional services organisation. Working within a specialist AI and Data consulting practice, this role will focus on helping large insurance organisations adopt modern AI capabilities and integrate them into their existing enterprise technology ecosystems. You will work with senior stakeholders to define AI architecture strategies and deliver scalable solutions that leverage Generative AI, machine learning and cloud-based data platforms. The role will involve leading the design and implementation of end-to-end AI architectures while supporting organisations through complex digital and data transformation initiatives. This position is ideal for someone with strong hands-on experience across AI/ML architecture, cloud AI services and large language model technologies, alongside the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities • Translate senior stakeholder vision into AI/ML/Generative AI architecture strategies and implementation roadmaps, • Design and implement end-to-end AI and machine learning architectures, • Evaluate and recommend appropriate AI/ML use cases for enterprise-scale deployment, • Select appropriate cloud technologies and AI platforms based on scalability, performance and integration requirements, • Deliver AI-enabled applications using agile delivery methodologies, • Ensure solutions meet security, governance and ethical AI standards, • Proven experience in AI architecture, solution architecture or machine learning engineering, • Experience implementing cloud-based AI/ML solutions across platforms such as Azure, AWS or Google Cloud, • Hands-on experience with Generative AI technologies and large language models, • Knowledge of vector databases, semantic search and embedding techniques, • Strong programming skills in Python, • Salary up to £110,000, • Hybrid working from central London office, • Performance related bonus scheme, • 25 days holiday plus bank holidays, • Private medical insurance Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour, and the London Fabric User Group.

• Have you had a career break of 12+ months?, • Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer Within the FDM Skills Lab you’ll receive upskilling in: • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications • Looking to return to work after a break in your career of 12+ months, • At least 5 years of prior commercial industry experience, ideally within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you’ll play a pivotal role in shaping analytical models that guide DVSA’s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You’ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: • Employer pension contribution of 28.97% of your salary., • 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King’s birthday Your responsibilities will include, but aren’t limited to: • Conceptualising and developing high-impact data science solutions., • Writing and reviewing code using best practices from software development., • Further developing and maintaining existing risk and demand models., • Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python., • Identify trends and patterns, turning them into actionable insights that support the development and improvement of services., • Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff., • Explore and visualise data to uncover valuable insights, • Offer recommendations that solve complex problems and empower strategic and operational decision making We’re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you’ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: • Developing and deploying AI and data science solutions to tackle business challenges at pace., • Inferring, predicting or forecasting using appropriate machine learning techniques., • Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation., • Quantitatively evaluating data science and AI solutions using novel designs and data sets., • Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP)., • Continually promoting professional development and sharing best practices., • Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff., • Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc)., • Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills), • Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM)., • A high level of competence in applied maths, statistics and scientific methods., • Clear written and verbal communication. If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Data Engineer Up to £80,000 About the Role I am seeking a technically strong Data Engineer to support the development and scaling of a modern cloud-based data platform within a fast-growing B2B SaaS organisation that specialises in marketing data integrity. The company provides a platform that helps organisations automate and standardise the flow of lead and marketing data across multiple systems, improving data quality, transparency and operational efficiency. Working within a small but growing data function, this role will focus on building and optimising data pipelines, improving access to platform and event data and strengthening the underlying data architecture that supports analytics, machine learning and AI initiatives. This role is ideal for someone with strong experience across modern data engineering practices, cloud data platforms and large-scale data processing within a SaaS or data-driven environment. Responsibilities • Build, maintain and optimise scalable data pipelines that move data from operational systems into analytics platforms, • Work closely with Engineering and DevOps teams to support data replication, ingestion and reliability, • Improve access to and usability of platform logs and event data for analytics and AI use cases, • Manage and structure data stored within AWS environments including S3 and Redshift, • Experience working as a Data Engineer or similar role, ideally within a SaaS or technology-driven environment, • Strong SQL experience and confidence working with modern cloud data warehouses such as AWS Redshift, • Strong Python experience for building and maintaining production data pipelines, working with APIs, logs and semi-structured data, • Experience using dbt to build and manage analytics models within a data warehouse, • Familiarity with AWS data services such as S3, RDS or Aurora, • Salary up to £80,000 depending on experience, • Flexible remote or hybrid working, • 25 days holiday plus an additional day for your birthday Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour, and the London Fabric User Group.

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).

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.

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 Delivery Lead - Permanent - Hybrid - Insurance OverviewThis is an opportunity to work with leading global companies and help them tackle complex business challenges. As a Senior AI Delivery Lead, you will be responsible for designing and delivering innovative AI-enabled solutions that create long-term value for insurance clients. The role focuses on delivering next-generation technology projects that leverage traditional AI, generative AI, and advanced data science capabilities. You will work closely with senior stakeholders to understand strategic objectives, identify opportunities for AI adoption, and lead multidisciplinary teams to deliver high-impact solutions. This role combines technical leadership, client engagement, and delivery management, offering the chance to operate at the forefront of AI-driven transformation. Key ResponsibilitiesCollaborate with clients to understand business challenges and design AI-enabled solutions aligned with their strategic objectives.Lead the development and delivery of AI solutions across the full project lifecycle, from initial concept and design through to implementation and scaling.Manage project timelines, budgets, scope, and delivery milestones to ensure successful outcomes.Build, lead, and mentor cross-functional teams of AI professionals including data scientists, engineers, developers, and business analysts.Drive business development activities including building client relationships, contributing to proposals, supporting bid processes, and identifying strategic partnership opportunities.Stay informed on the latest developments in artificial intelligence, generative AI, and data science, identifying opportunities to apply emerging technologies to client challenges.Communicate project progress, risks, and recommendations clearly to senior stakeholders and executive leadership.Oversee the implementation of data governance, privacy, security, and ethical AI guardrails throughout project delivery. Skills and Experience Essential SkillsDeep experience within the insurance industry with a strong track record across relevant sub-domains.Extensive experience designing and delivering AI-enabled solutions at production scale.Ability to identify AI opportunities and develop go-to-market propositions that connect business challenges with technical solutions.Strong project and programme management experience including managing timelines, budgets, and delivery scope.Strong understanding of AI technologies including machine learning, data science, and generative AI.Proven leadership capability managing diverse technical and non-technical teams.Experience working within agile delivery environments and familiarity with agile methodologies. Desirable SkillsKnowledge of emerging AI technologies and their practical applications and risks.Strong storytelling and communication skills, with the ability to structure complex ideas in a clear and engaging way.Experience delivering AI solutions on cloud platforms.Experience with agile frameworks such as Scrum or Kanban.Experience in data visualisation and communicating insights from complex datasets to non-technical stakeholders.Proficiency in programming languages such as Python, Java, or C#. To apply for this role please submit your CV or contact Dillon Blackburn on or at . 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.

Data Modelling Lead, Associate Director - InsuranceLocation: London or ManchesterBusiness Line: Technology & TransformationJob Type: Permanent / FTC Lead the Future of Data in InsuranceA leading global professional services organisation is seeking experienced Senior Data Modellers to join its Insurance Technology & Transformation practice as Data Modelling Leads (Associate Director level).The insurance sector is undergoing rapid change, driven by the growing importance of data, analytics and AI. Organisations are rethinking how they manage, structure and use data-embracing decentralised approaches, modern platforms, and domain-oriented data products to unlock new value.Data modelling sits at the heart of this transformation. A strong data design strategy enables insurers to modernise their operations, enhance customer outcomes, and build the foundations for advanced analytics, machine learning and AI.This role offers the opportunity to shape those foundations and influence data strategy across major insurance organisations. What You'll DoAs a Data Modelling Lead, you will guide the design of transformational data solutions across the insurance value chain. Working alongside architects, engineers and business leaders, you will define coherent, business-facing data models that support critical functions and strategic objectives.Your responsibilities include: Analysing business and technical environments to derive insights that inform data models and data architecture. Delivering business-facing insurance data models that support transformation, analytics, AI, reporting and regulatory needs. Contributing to end-to-end data and solution architectures across insurance domains. Helping clients understand how data can address strategic challenges and unlock new opportunities. Leading senior stakeholder relationships and establishing a common language for data across complex organisations. Developing strategic roadmaps for Data & AI capabilities. Leading diverse, high-performing teams and fostering an inclusive, supportive culture. Owning workstreams and ensuring successful delivery of client engagements. Supporting go-to-market activity, proposals and the evolution of data and architecture offerings. Contributing to the growth of the Strategy, Governance & Architecture community and mentoring emerging talent. What You'll BringEssential experience Strong consulting background with client-facing delivery experience. Experience contributing to proposals, presentations and pre-sales activities. Excellent analytical and problem-solving skills. Executive-level stakeholder management and relationship building. Deep functional knowledge in Insurance (e.g., Finance, Risk, Underwriting, Pricing, Claims, Asset Management). Proven leadership of multi-disciplinary teams and development of junior talent. Strong understanding of data solutions including data modelling, data management, data quality, MDM, reference data, analytics and BI. Experience in data solution architecture and design principles. Expertise in developing data models, data dictionaries, vocabularies, taxonomies or ontologies. Experience engaging both Business and IT stakeholders on large-scale programmes. Skilled in leading data design workshops and aligning data architecture across business units and geographies. Ability to quickly assimilate new techniques and apply them to business outcomes. Experience leading go-to-market activities including RFI/RFP responses. Commitment to inclusive team culture and people development. Desirable experience Architecture certifications (e.g., TOGAF) or equivalent. Certifications or hands-on experience with modern Data & AI technologies (e.g., Microsoft Fabric, Snowflake, Databricks). Experience delivering Data Mesh or similar decentralised data frameworks. Experience designing data products for insurance. Understanding of Data Governance and platforms such as Collibra or Informatica. Experience managing cross-geography and offshore teams. Knowledge of regulatory frameworks such as GDPR, IFRS17, Solvency II. Experience establishing technical design authorities.* Project management experience across agile and waterfall methodologies. Please send me copy of your CV of you're interested

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.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML About this role 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. What you’ll do * 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. What we’re looking for * 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. What you’ll get to learn * 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. Where and how you'll work 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. What’s in it for you * 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. Our Commitment to Diversity 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.