Hi, I'm Shun, founder and CEO of Anima. I left my career as a doctor because I was tired of seeing patients die from delays and misdiagnosis. Our mission is to deliver precision medicine to anyone, anywhere, in under 24 hours. Our platform already serves millions of patients and 10xs the capacity of doctors. But the truth is, we're just getting started. We're building toward a superhuman, personalised medicine agent that could go well beyond humans, crunching tens of thousands of low level features at genome and transcriptome level. We're a tight crew of builders and operations working at the cutting edge of healthcare reinforcement learning and agentic AI, and we're looking for exceptional people to join us. If you want your skills to have the highest possible stakes, you belong at Anima. Your work here will save lives. Period. Long before the "vertical AI" craze, we were obsessed with active reinforcement learning-a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy grail" of personalized medicine and deep phenotyping. This is powered by our proprietary active learning architecture - a system we codified in a 2021 patent that anticipated the Sparse Mixture of Experts (MoE) and active learning loops now foundational to modern LLMs. While others are just arriving at the party, we've spent years executing a plan to build what is now one of the world's largest, highest-quality labeled datasets. We're looking for someone who Has a track record of relentless shipping. Has proven ability to navigate ambiguity and tackle novel technical challenges from conception to production. Has strong CS Fundamentals. A deep understanding of data structures, algorithms (e.g., breadth-first search), and first-principles thinking to solve complex product problems. Is expert-level in TypeScript (TS). Proficiency in building type-safe, scalable applications. You are a full-stack expert in the JavaScript/Node.js ecosystem with a pragmatic approach to tech debt and tool selection. Has hands-on expertise with React, Angular, or Node.js, with the ability to move between frontend and backend as needed. Has experience architecting on AWS (specifically Lambda, DynamoDB, SQS, and CloudFormation) or a proven "hungry to learn" mindset regarding serverless infrastructure. Is disciplined towards best practice version control, CI/CD and code extensibility. Values interface safety through dimensionality reduction at interfaces. Is obsessive about UX and optimises for this over arbitrary technical goals. Is driven, impatient to grow and wants their shot to change the world. What to expect in the role You'll work with an incredibly smart team. Like Michael who built a working CPU from logic dates at age 16 and co-founded YC-backed Embark Trucks, the first self-driving vehicle on Canadian roads. Or Souradip, who built an acoustic fall detector using on-device deep learning; he's also an MB/PhD from Cambridge who's published in top medical journals. You'll own your projects end to end and ship fast. Like Alex who built 'Slack for medical teams' supporting 1000s of channels per organisation and a real time single source of truth for patient data in 4 weeks. Or Dennis who built and shipped a lightning fast cloud document library for clinics in a few days with You'll work on a well-established stack that's already highly scalable, cost effective, secure and performant with minimal to zero ops. You'll learn new technologies; whatever is needed to solve the problem. We are tech agonistic, and collectively choose the best tools for the job. We're constantly looking to maximise our productivity and minimise what we call "discounted dev time cost" for shipping features. Our current stack We have 2 separate fully functional web apps in prod: one for clinical users and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD.
Mar 01, 2026
Full time
Hi, I'm Shun, founder and CEO of Anima. I left my career as a doctor because I was tired of seeing patients die from delays and misdiagnosis. Our mission is to deliver precision medicine to anyone, anywhere, in under 24 hours. Our platform already serves millions of patients and 10xs the capacity of doctors. But the truth is, we're just getting started. We're building toward a superhuman, personalised medicine agent that could go well beyond humans, crunching tens of thousands of low level features at genome and transcriptome level. We're a tight crew of builders and operations working at the cutting edge of healthcare reinforcement learning and agentic AI, and we're looking for exceptional people to join us. If you want your skills to have the highest possible stakes, you belong at Anima. Your work here will save lives. Period. Long before the "vertical AI" craze, we were obsessed with active reinforcement learning-a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy grail" of personalized medicine and deep phenotyping. This is powered by our proprietary active learning architecture - a system we codified in a 2021 patent that anticipated the Sparse Mixture of Experts (MoE) and active learning loops now foundational to modern LLMs. While others are just arriving at the party, we've spent years executing a plan to build what is now one of the world's largest, highest-quality labeled datasets. We're looking for someone who Has a track record of relentless shipping. Has proven ability to navigate ambiguity and tackle novel technical challenges from conception to production. Has strong CS Fundamentals. A deep understanding of data structures, algorithms (e.g., breadth-first search), and first-principles thinking to solve complex product problems. Is expert-level in TypeScript (TS). Proficiency in building type-safe, scalable applications. You are a full-stack expert in the JavaScript/Node.js ecosystem with a pragmatic approach to tech debt and tool selection. Has hands-on expertise with React, Angular, or Node.js, with the ability to move between frontend and backend as needed. Has experience architecting on AWS (specifically Lambda, DynamoDB, SQS, and CloudFormation) or a proven "hungry to learn" mindset regarding serverless infrastructure. Is disciplined towards best practice version control, CI/CD and code extensibility. Values interface safety through dimensionality reduction at interfaces. Is obsessive about UX and optimises for this over arbitrary technical goals. Is driven, impatient to grow and wants their shot to change the world. What to expect in the role You'll work with an incredibly smart team. Like Michael who built a working CPU from logic dates at age 16 and co-founded YC-backed Embark Trucks, the first self-driving vehicle on Canadian roads. Or Souradip, who built an acoustic fall detector using on-device deep learning; he's also an MB/PhD from Cambridge who's published in top medical journals. You'll own your projects end to end and ship fast. Like Alex who built 'Slack for medical teams' supporting 1000s of channels per organisation and a real time single source of truth for patient data in 4 weeks. Or Dennis who built and shipped a lightning fast cloud document library for clinics in a few days with You'll work on a well-established stack that's already highly scalable, cost effective, secure and performant with minimal to zero ops. You'll learn new technologies; whatever is needed to solve the problem. We are tech agonistic, and collectively choose the best tools for the job. We're constantly looking to maximise our productivity and minimise what we call "discounted dev time cost" for shipping features. Our current stack We have 2 separate fully functional web apps in prod: one for clinical users and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD.
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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 01, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 01, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 01, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Feb 28, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Why join frog? frog is part of Capgemini Invent and partners with customer centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experience by delivering market defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the "pond," a global network of studios, each with a thriving in person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw upon our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. Frogs value humour, positivity, and community just as highly as performance and outcomes. We have an open, flexible and inclusive culture. Working at frog means you are empowered to meet the moment and Make Your Mark on every project What you will be doing We are seeking a dynamic and visionary Director to grow our FS business through our Customer Experience Transformation activities, focusing on Customer Service and CRM. This is a senior leadership role for an experienced consultant with deep capability and sector expertise, a strong track record of digital and operational transformation, and a passion for delivering exceptional end to end experiences for both customers and frontline colleagues You will play a pivotal role in shaping and delivering Service & CRM Transformation programmes for leading FS organisations particularly in insurance and retail banking. You will leverage your hands on experience of large scale programmes, your network of industry relationships, and your thought leadership to create innovative proposals and deliver tangible benefit to both clients and customers alike. Key Responsibilities Lead and grow frog's Service Transformation activities across FS clients contributing to the overall growth of our business with FS clients Create and deliver transformation strategies that align with business goals such as operational efficiency, CRM optimisation, personalised experiences and delivering innovative customer care. Lead and deliver large scale and complex programmes of work from inception to implementation that leverage Capgemini group wide capabilities, have sound commercial foundation, measurable business outcomes and that excite and engage our clients and colleagues. Lead business development, including shaping proposals, responding to bids, pitching to clients, and growing key accounts. Build trusted relationships as a strategic advisor to senior client stakeholders, including C suite leaders, leveraging your deep sector knowledge and consultancy experience. Inspire, coach and develop high performing teams, fostering a culture of creativity, collaboration, and excellence. Build and maintain a strong external presence through thought leadership, speaking engagements, and social media (e.g. LinkedIn). What we are looking for Consulting experience, ideally within Big 4. Deep Sector expertise in FS, in particular Insurance, with a strong understanding of market trends, regulatory landscape, and customer needs. Strong knowledge and experience of Service Transformation, leveraging technology such as CRM & CCaaS platforms (e.g. Salesforce, MS Dynamics, Google Dialogflow, Nice, Genesys etc), customer care operations and customer journey design. Proven track record of delivering complex transformation programmes in the insurance sector. Respected industry leader with a visible online presence and a strong network of insurance sector contacts. Passion for innovation and a human centred approach to problem solving. Experience working in or leading a sector focused team within a consultancy is highly desirable. What you will bring A good fit for this role will bring many of the skills, experience, and attributes below Strategic Leader - Capable of managing high performing teams while delivering impactful approaches that drive measurable results for our clients Experienced seller - a proven track record of identifying and driving potential opportunities with clients that will open up areas for frog to expand Pragmatic problem solver - adopts a proactive and flexible approach, focused on finding practical solutions and reducing complexity to drive results Collaborative team player - Builds strong relationships and works effectively across diverse stakeholders. Commercially astute - develops programmes of work that deliver commercially for both client and frog, is contractually savvy and takes a balanced approach to risk management Excellent interpersonal skills - Builds trust and fosters strong connections with colleagues, clients, and stakeholders. Adaptable and agile - Thrives in dynamic environments and embraces modern, agile ways of working Intellectually curious - seeks new and different ways of doing things and applies intellectual rigour to developing points of view and proposals Storyteller - can engage and excite across colleagues and clients alike through well crafted stories and messaging It would be a bonus if you had: Experience working with at least one of these platform providers - Salesforce, Microsoft Dynamics, Nice, Genesys, AWS, Google Dialogflow We don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. About Capgemini Invent Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.
Feb 28, 2026
Full time
Why join frog? frog is part of Capgemini Invent and partners with customer centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experience by delivering market defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the "pond," a global network of studios, each with a thriving in person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw upon our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. Frogs value humour, positivity, and community just as highly as performance and outcomes. We have an open, flexible and inclusive culture. Working at frog means you are empowered to meet the moment and Make Your Mark on every project What you will be doing We are seeking a dynamic and visionary Director to grow our FS business through our Customer Experience Transformation activities, focusing on Customer Service and CRM. This is a senior leadership role for an experienced consultant with deep capability and sector expertise, a strong track record of digital and operational transformation, and a passion for delivering exceptional end to end experiences for both customers and frontline colleagues You will play a pivotal role in shaping and delivering Service & CRM Transformation programmes for leading FS organisations particularly in insurance and retail banking. You will leverage your hands on experience of large scale programmes, your network of industry relationships, and your thought leadership to create innovative proposals and deliver tangible benefit to both clients and customers alike. Key Responsibilities Lead and grow frog's Service Transformation activities across FS clients contributing to the overall growth of our business with FS clients Create and deliver transformation strategies that align with business goals such as operational efficiency, CRM optimisation, personalised experiences and delivering innovative customer care. Lead and deliver large scale and complex programmes of work from inception to implementation that leverage Capgemini group wide capabilities, have sound commercial foundation, measurable business outcomes and that excite and engage our clients and colleagues. Lead business development, including shaping proposals, responding to bids, pitching to clients, and growing key accounts. Build trusted relationships as a strategic advisor to senior client stakeholders, including C suite leaders, leveraging your deep sector knowledge and consultancy experience. Inspire, coach and develop high performing teams, fostering a culture of creativity, collaboration, and excellence. Build and maintain a strong external presence through thought leadership, speaking engagements, and social media (e.g. LinkedIn). What we are looking for Consulting experience, ideally within Big 4. Deep Sector expertise in FS, in particular Insurance, with a strong understanding of market trends, regulatory landscape, and customer needs. Strong knowledge and experience of Service Transformation, leveraging technology such as CRM & CCaaS platforms (e.g. Salesforce, MS Dynamics, Google Dialogflow, Nice, Genesys etc), customer care operations and customer journey design. Proven track record of delivering complex transformation programmes in the insurance sector. Respected industry leader with a visible online presence and a strong network of insurance sector contacts. Passion for innovation and a human centred approach to problem solving. Experience working in or leading a sector focused team within a consultancy is highly desirable. What you will bring A good fit for this role will bring many of the skills, experience, and attributes below Strategic Leader - Capable of managing high performing teams while delivering impactful approaches that drive measurable results for our clients Experienced seller - a proven track record of identifying and driving potential opportunities with clients that will open up areas for frog to expand Pragmatic problem solver - adopts a proactive and flexible approach, focused on finding practical solutions and reducing complexity to drive results Collaborative team player - Builds strong relationships and works effectively across diverse stakeholders. Commercially astute - develops programmes of work that deliver commercially for both client and frog, is contractually savvy and takes a balanced approach to risk management Excellent interpersonal skills - Builds trust and fosters strong connections with colleagues, clients, and stakeholders. Adaptable and agile - Thrives in dynamic environments and embraces modern, agile ways of working Intellectually curious - seeks new and different ways of doing things and applies intellectual rigour to developing points of view and proposals Storyteller - can engage and excite across colleagues and clients alike through well crafted stories and messaging It would be a bonus if you had: Experience working with at least one of these platform providers - Salesforce, Microsoft Dynamics, Nice, Genesys, AWS, Google Dialogflow We don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. About Capgemini Invent Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Feb 28, 2026
Full time
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Feb 28, 2026
Full time
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Lead Java Engineer (Hands-On) 80% Coding Technical Leadership Modern Platform Remote First (office visit once a month) - You must live within 1 hr 30 of South Manchester 70,000 - 85,000 + Bonus + Excellent Benefits My client is not able to provide Visa sponsorship We're working with a long-established tech company who are building modern platforms within a complex and meaningful domain. They've embedded Agile and XP practices across engineering, and they're now hiring a hands-on Principal Java Engineer to help lead delivery, raise standards, and support the growth of their teams. This is not an "architect who doesn't code" role. The expectation is that you'll be around 80% hands-on , building software alongside the team. The Opportunity You'll work as part of a Scrum team delivering real product outcomes, while also contributing to the broader engineering direction. The hands-off element of the role includes: helping lead Scrum ceremonies and delivery mentoring and coaching engineers collaborating with other Principals and the Development Manager contributing to architectural decisions and technical direction It's a role for someone who still loves coding, but also enjoys influencing how teams work and how systems evolve. Tech Stack & Practices Java, Spring Boot TDD, pairing, strong automated testing culture CI/CD, continuous delivery mindset AWS (with a mix of approaches including serverless) Docker, Kubernetes Terraform / DevOps tooling AWS and DevOps exposure is very beneficial at Principal level - but they're not looking for a pure DevOps engineer. The core of the role is still Java engineering. What They're Looking For Deep, hands-on Java experience with strong engineering judgement Proven ability to influence standards and mentor engineers Comfortable balancing delivery with technical leadership Strong understanding of building maintainable, scalable systems Experience working in Agile teams with modern practices Bonus points for AWS, containerisation, IaC, etc. What's In It For You? Remote-first working with minimal office travel Clear scope: still hands-on, but with meaningful technical influence Strong salary, bonus and excellent benefits A collaborative, mature engineering culture Complex systems, long-term platform work, and real impact Interested? Apply now or get in touch for a confidential conversation. Even if you're not actively looking, it's a great time to explore what they're building. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
Feb 28, 2026
Full time
Lead Java Engineer (Hands-On) 80% Coding Technical Leadership Modern Platform Remote First (office visit once a month) - You must live within 1 hr 30 of South Manchester 70,000 - 85,000 + Bonus + Excellent Benefits My client is not able to provide Visa sponsorship We're working with a long-established tech company who are building modern platforms within a complex and meaningful domain. They've embedded Agile and XP practices across engineering, and they're now hiring a hands-on Principal Java Engineer to help lead delivery, raise standards, and support the growth of their teams. This is not an "architect who doesn't code" role. The expectation is that you'll be around 80% hands-on , building software alongside the team. The Opportunity You'll work as part of a Scrum team delivering real product outcomes, while also contributing to the broader engineering direction. The hands-off element of the role includes: helping lead Scrum ceremonies and delivery mentoring and coaching engineers collaborating with other Principals and the Development Manager contributing to architectural decisions and technical direction It's a role for someone who still loves coding, but also enjoys influencing how teams work and how systems evolve. Tech Stack & Practices Java, Spring Boot TDD, pairing, strong automated testing culture CI/CD, continuous delivery mindset AWS (with a mix of approaches including serverless) Docker, Kubernetes Terraform / DevOps tooling AWS and DevOps exposure is very beneficial at Principal level - but they're not looking for a pure DevOps engineer. The core of the role is still Java engineering. What They're Looking For Deep, hands-on Java experience with strong engineering judgement Proven ability to influence standards and mentor engineers Comfortable balancing delivery with technical leadership Strong understanding of building maintainable, scalable systems Experience working in Agile teams with modern practices Bonus points for AWS, containerisation, IaC, etc. What's In It For You? Remote-first working with minimal office travel Clear scope: still hands-on, but with meaningful technical influence Strong salary, bonus and excellent benefits A collaborative, mature engineering culture Complex systems, long-term platform work, and real impact Interested? Apply now or get in touch for a confidential conversation. Even if you're not actively looking, it's a great time to explore what they're building. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Feb 28, 2026
Full time
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Sales Engineer Remote Location: London, UK Position Summary HackerOne is looking for a Senior Sales Engineer to join a fast-growing company that is bringing a fresh and disruptive approach to information security. You will partner directly with Account Executives and Channel Partners to successfully prospect and sell into specific accounts where your technical and domain expertise makes the difference. As the technical expert, you will work with prospects to understand their business problems, technical architecture, and attack surface to design the right solution. You will also work closely with product and engineering to bring the sales perspective to product roadmap discussions. You will become an evangelist for the power of hackers and HackerOne. What You Will Do Partner with the sales team to provide technical and domain expertise for specific opportunities, develop account strategies, and uncover additional business opportunities Develop and deliver demonstrations of the HackerOne platform tailored to a specific customer's business and use case Own the technology evaluation stage of the sales process with our prospects of various technical levels Develop documentation and workflows specific to a customer's implementation plan Lead tailored product workshops and deep dives in key accounts Analyze feature requests from customers and prospects and provide feedback to our engineering and product management teams to help orient the product roadmap Provide technical perspective on active deals and help accurately forecast deals Support marketing by evangelizing HackerOne and hackers in general at trade shows, conferences, and webinars Stay on top of industry news and developments to provide and maintain a deep industry and domain expertise Minimum Qualifications 5+ years of pre sales experience with at least 3 years working with Enterprise customers 2+ years of security experience in a Software as a Service product, understand security fundamentals and common vulnerabilities (e.g. OWASP Top Ten, can scope a pentest, can price a bounty reward) Excellent communication, presentation, and demonstration skills. This role requires you to understand and articulate both the business value and technical advantages of our platform. Passionate about technical sales and working with prospective buyers and customers to understand their business and challenges Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team A highly self-motivated and creative problem solver A continuous learner Ability and willingness to travel Preferred Qualifications Experience cross-selling or upselling Enterprise, Strategic, or Named customers to expand their usage. Experience with vulnerability management, penetration testing, or red teaming assessments. Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team. Compensation Base: £94,000 - £115,000 OTE: £126,000 - £154,000 Offers Equity Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
Feb 28, 2026
Full time
HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Sales Engineer Remote Location: London, UK Position Summary HackerOne is looking for a Senior Sales Engineer to join a fast-growing company that is bringing a fresh and disruptive approach to information security. You will partner directly with Account Executives and Channel Partners to successfully prospect and sell into specific accounts where your technical and domain expertise makes the difference. As the technical expert, you will work with prospects to understand their business problems, technical architecture, and attack surface to design the right solution. You will also work closely with product and engineering to bring the sales perspective to product roadmap discussions. You will become an evangelist for the power of hackers and HackerOne. What You Will Do Partner with the sales team to provide technical and domain expertise for specific opportunities, develop account strategies, and uncover additional business opportunities Develop and deliver demonstrations of the HackerOne platform tailored to a specific customer's business and use case Own the technology evaluation stage of the sales process with our prospects of various technical levels Develop documentation and workflows specific to a customer's implementation plan Lead tailored product workshops and deep dives in key accounts Analyze feature requests from customers and prospects and provide feedback to our engineering and product management teams to help orient the product roadmap Provide technical perspective on active deals and help accurately forecast deals Support marketing by evangelizing HackerOne and hackers in general at trade shows, conferences, and webinars Stay on top of industry news and developments to provide and maintain a deep industry and domain expertise Minimum Qualifications 5+ years of pre sales experience with at least 3 years working with Enterprise customers 2+ years of security experience in a Software as a Service product, understand security fundamentals and common vulnerabilities (e.g. OWASP Top Ten, can scope a pentest, can price a bounty reward) Excellent communication, presentation, and demonstration skills. This role requires you to understand and articulate both the business value and technical advantages of our platform. Passionate about technical sales and working with prospective buyers and customers to understand their business and challenges Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team A highly self-motivated and creative problem solver A continuous learner Ability and willingness to travel Preferred Qualifications Experience cross-selling or upselling Enterprise, Strategic, or Named customers to expand their usage. Experience with vulnerability management, penetration testing, or red teaming assessments. Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team. Compensation Base: £94,000 - £115,000 OTE: £126,000 - £154,000 Offers Equity Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
A technology recruitment company in the United Kingdom is seeking a Principal DevOps Engineer to lead and mentor a high-performing DevOps team. In this remote role, you will design and implement automated CI/CD pipelines, ensuring quality and security at the core. You will partner with software teams to integrate DevOps principles and drive innovative solutions using cloud platforms like AWS, Azure, and GCP. A competitive package of up to £125,000, plus bonuses and benefits, is offered.
Feb 28, 2026
Full time
A technology recruitment company in the United Kingdom is seeking a Principal DevOps Engineer to lead and mentor a high-performing DevOps team. In this remote role, you will design and implement automated CI/CD pipelines, ensuring quality and security at the core. You will partner with software teams to integrate DevOps principles and drive innovative solutions using cloud platforms like AWS, Azure, and GCP. A competitive package of up to £125,000, plus bonuses and benefits, is offered.
ROLE TITLE: Devops Engineer LOCATION: Manchester, Leicester or Liverpool CLEARANCE: 5 Years UK Residency Required SALARY: 40,000 - 50,000 We are actively looking to secure a Devops Engineer to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. Job Purpose/The Role: The role is as a client-facing Technical DevOps Engineer working in a Platform scrum team responsible for the provisioning of AWS-hosted infrastructure underneath, as well as the configuration and deployment playbooks of, two core CDS components delivered by IBM; IBM MQ and the Declaration Management Service (DMS). Your responsibilities: Our DevOps Engineering team is responsible for implementing coding & test best practice; collaborating with other team members in elements of Component / DevOps Architecture; creating CI / CD pipelines; engaging with clients remotely to influence design and tooling decisions to ensure maximum benefit to HMRC. As well as the above, you may be involved in supporting the Customs Declaration Service (CDS) programme Your Skills: Comfortable with coding in Terraform, Ansible and Bash Shell. Experience in working with AWS console and the AWS CLI to provision and manage infrastructure. Knowledge of AWS networking concepts, including VPC, subnets, routing, security groups, and Network ACLs Understand AWS security best practices and implement appropriate IAM roles, policies, encryption mechanisms and access controls to maintain the desired security posture. Strong understanding of Source Code Management and familiar with Gitlab tooling around branching, merging, tagging and release management. Ability to work with client teams remotely to aid successful design and delivery of new functionality. Experience in working with agile, collaborative teams which are accountable for pulling in work and delivering against a sprint backlog using tools like Jira / Confluence. Benefits Include: Contributory pension scheme Employee Assistance Program Medical and Dental cover 22 days holiday + bank holidays Maternity Pay/Shared Parental leave and paternity leave Sick pay Suitable Candidates should submit CVs in the first instance.
Feb 28, 2026
Full time
ROLE TITLE: Devops Engineer LOCATION: Manchester, Leicester or Liverpool CLEARANCE: 5 Years UK Residency Required SALARY: 40,000 - 50,000 We are actively looking to secure a Devops Engineer to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. Job Purpose/The Role: The role is as a client-facing Technical DevOps Engineer working in a Platform scrum team responsible for the provisioning of AWS-hosted infrastructure underneath, as well as the configuration and deployment playbooks of, two core CDS components delivered by IBM; IBM MQ and the Declaration Management Service (DMS). Your responsibilities: Our DevOps Engineering team is responsible for implementing coding & test best practice; collaborating with other team members in elements of Component / DevOps Architecture; creating CI / CD pipelines; engaging with clients remotely to influence design and tooling decisions to ensure maximum benefit to HMRC. As well as the above, you may be involved in supporting the Customs Declaration Service (CDS) programme Your Skills: Comfortable with coding in Terraform, Ansible and Bash Shell. Experience in working with AWS console and the AWS CLI to provision and manage infrastructure. Knowledge of AWS networking concepts, including VPC, subnets, routing, security groups, and Network ACLs Understand AWS security best practices and implement appropriate IAM roles, policies, encryption mechanisms and access controls to maintain the desired security posture. Strong understanding of Source Code Management and familiar with Gitlab tooling around branching, merging, tagging and release management. Ability to work with client teams remotely to aid successful design and delivery of new functionality. Experience in working with agile, collaborative teams which are accountable for pulling in work and delivering against a sprint backlog using tools like Jira / Confluence. Benefits Include: Contributory pension scheme Employee Assistance Program Medical and Dental cover 22 days holiday + bank holidays Maternity Pay/Shared Parental leave and paternity leave Sick pay Suitable Candidates should submit CVs in the first instance.
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
Feb 28, 2026
Full time
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
Senior Java Engineer Modern Stack TDD & CI/CD Complex Systems Remote First (office visit once a month) - you must live within 1hr 30 of South Manchester 60,000 - 70,000 + Bonus + Excellent Benefits my client is not able to provide sponsorship We're working with a long-established tech company who are continuing to modernise a complex platform within a highly regulated domain. They've built a strong engineering culture around Agile and XP practices, and they're now looking for a Senior Java Engineer to join one of their Scrum teams. This is a role for someone who is genuinely hands-on, enjoys solving tricky problems, and cares about building software the right way - clean code, testing, collaboration, and continuous improvement. The Opportunity You'll join a cross-functional team working on large-scale systems that have real-world impact. Engineering standards are taken seriously here, but it's not dogmatic - it's practical, delivery-focused, and built around doing things sustainably. The Senior role is almost entirely hands-on , but they're looking for someone with the experience and maturity to: mentor other engineers lead by example contribute to good engineering practices help the team deliver reliably Tech Stack & Practices The core platform is Java-based, supported by a modern mix of tooling: Java, Spring Boot TDD / automated testing CI/CD and modern delivery pipelines AWS (including serverless approaches in places) Docker, Kubernetes Infrastructure as Code (Terraform, etc.) You don't need to tick every box - strong Java + good engineering habits are the priority. Exposure to AWS and DevOps tooling is a nice bonus. What They're Looking For Strong experience building backend systems with Java & Spring Boot Comfortable working with TDD and modern engineering practices Experience delivering production software in Agile teams Someone who enjoys mentoring and helping others grow Collaborative mindset - pairing, code reviews, shared ownership Bonus points for AWS, Docker/Kubernetes, Terraform, etc. What's In It For You? Remote-first working with minimal office travel Strong salary, bonus and excellent benefits A genuinely good engineering culture (not just "Agile" on paper) Meaningful work, complex systems, and long-term platform thinking Plenty of room to learn and grow Interested? Apply now or get in touch for more info - even if you don't have a CV ready, we're happy to chat. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
Feb 28, 2026
Full time
Senior Java Engineer Modern Stack TDD & CI/CD Complex Systems Remote First (office visit once a month) - you must live within 1hr 30 of South Manchester 60,000 - 70,000 + Bonus + Excellent Benefits my client is not able to provide sponsorship We're working with a long-established tech company who are continuing to modernise a complex platform within a highly regulated domain. They've built a strong engineering culture around Agile and XP practices, and they're now looking for a Senior Java Engineer to join one of their Scrum teams. This is a role for someone who is genuinely hands-on, enjoys solving tricky problems, and cares about building software the right way - clean code, testing, collaboration, and continuous improvement. The Opportunity You'll join a cross-functional team working on large-scale systems that have real-world impact. Engineering standards are taken seriously here, but it's not dogmatic - it's practical, delivery-focused, and built around doing things sustainably. The Senior role is almost entirely hands-on , but they're looking for someone with the experience and maturity to: mentor other engineers lead by example contribute to good engineering practices help the team deliver reliably Tech Stack & Practices The core platform is Java-based, supported by a modern mix of tooling: Java, Spring Boot TDD / automated testing CI/CD and modern delivery pipelines AWS (including serverless approaches in places) Docker, Kubernetes Infrastructure as Code (Terraform, etc.) You don't need to tick every box - strong Java + good engineering habits are the priority. Exposure to AWS and DevOps tooling is a nice bonus. What They're Looking For Strong experience building backend systems with Java & Spring Boot Comfortable working with TDD and modern engineering practices Experience delivering production software in Agile teams Someone who enjoys mentoring and helping others grow Collaborative mindset - pairing, code reviews, shared ownership Bonus points for AWS, Docker/Kubernetes, Terraform, etc. What's In It For You? Remote-first working with minimal office travel Strong salary, bonus and excellent benefits A genuinely good engineering culture (not just "Agile" on paper) Meaningful work, complex systems, and long-term platform thinking Plenty of room to learn and grow Interested? Apply now or get in touch for more info - even if you don't have a CV ready, we're happy to chat. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 28, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Lead Full Stack Developer (TypeScript, Vue, Node) Location: Hybrid - 1 day per week onsite Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 28, 2026
Full time
Lead Full Stack Developer (TypeScript, Vue, Node) Location: Hybrid - 1 day per week onsite Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior Embedded Security Consultant - Cheltenham "Making the world a safer and more secure place." It's our mission, plain and simple. It drives everything we do - from research to client work to community involvement. And it unifies our global team into an elite force with integrity, fierce passion, and relentless creativity that doesn't just "push the envelope" or "think outside the box." We shred the envelope, crush the box, and we have fun doing it. We are always looking for people who share our mission to join us. This is not a Remote position. This position is expected to report for work at our security lab in Cheltenham, United Kingdom. About IOActive: IOActive, a trusted partner for Global 1000 enterprises, provides research-fueled security services across all industries. Our cutting edge cybersecurity teams provide highly specialized technical and programmatic services including full stack penetration testing, program efficacy assessments, and hardware hacking. IOActive brings a unique attacker's perspective to every engagement to maximize cybersecurity investments and improve the security posture and operational resiliency of our clients. Founded in 1998, IOActive is headquartered in Seattle with global operations, including state of the art hardware hacking labs in Seattle, WA, Madrid, Spain and Cheltenham, UK. Who you are: Embedded Device Security Consultants are responsible for performing high end security evaluations and research for our clients, focused on a range of embedded devices. In this role, you will work with other team members to deliver high quality results to IOActive's clients throughout the world. Our consultants maintain a high level of expertise regarding known threats and technical advances in embedded security. This position requires expert knowledge in areas such as C, Java, assembly languages, open platforms, and cryptography. The Embedded Device Security Consultant will undertake advanced level security evaluation tasks and duties in order to meet customer requirements and project deadlines. What you'll do: Investigate possible logical attack scenarios by interpreting the code review findings, orienting the attack paths, and analyzing the test results Develop sophisticated, state of the art attacks that integrate the latest attack methods against embedded products Create tools to assist in project goals Communicate complex vulnerabilities to both technical and non technical client staff Evangelize IOActive Labs through blogs, white papers, presentations, etc. Support business development efforts through the scoping of engagements What you bring: Required Technical Skills Rapid identification of attack surfaces and entry points using implicit threat modeling techniques Ability to connect and use JTAG/on chip Debuggers Low level C code review Crypto implementation code reviews, specifically for secure boot and code signing Java, especially Android app side ARM 32 and 64 bit assembly Wi Fi/Bluetooth Reverse engineering, specifically firmware Hardware/embedded system hacking Vulnerability assessment and penetration testing Knowledge of security related topics, such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methodologies, secure data transfer, secure data storage Consulting Skills + Experience Ability to work independently under deadline Rigorous attention to detail and strong analytic skills Ability to write test plans based upon initial impressions and discussions with the team Comfortable navigating large codebases with minimal guidance Excellent command of written and spoken English Comfortable working as part of a multinational and multidisciplinary team Logical and structured approach to projects 3 5 years or more of relevant work experience in a high paced, enterprise consulting environment What We Offer A chance to work with an industry leader in cyber security Access to world class technical teams and research A high energy, collaborative team that values innovation ️ Opportunities for travel Competitive compensation and performance based incentives If this sounds like your kind of challenge, we'd love to hear from you. Let's talk! Why IOActive: We have over 25 years of experience that's established and stable; yet high growth with the energy, passion and dynamic work environment of a startup. We are renowned for our innovation and thought leadership within our high profile, cutting edge space. We're one of "the good guys" doing crazy cool stuff to thwart bad guys in a critically important business, social and political arena. Our work is great fun with great importance. Above all else, we value our people and our customers. Relationships matter. IOActive is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. IOActive makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Feb 28, 2026
Full time
Senior Embedded Security Consultant - Cheltenham "Making the world a safer and more secure place." It's our mission, plain and simple. It drives everything we do - from research to client work to community involvement. And it unifies our global team into an elite force with integrity, fierce passion, and relentless creativity that doesn't just "push the envelope" or "think outside the box." We shred the envelope, crush the box, and we have fun doing it. We are always looking for people who share our mission to join us. This is not a Remote position. This position is expected to report for work at our security lab in Cheltenham, United Kingdom. About IOActive: IOActive, a trusted partner for Global 1000 enterprises, provides research-fueled security services across all industries. Our cutting edge cybersecurity teams provide highly specialized technical and programmatic services including full stack penetration testing, program efficacy assessments, and hardware hacking. IOActive brings a unique attacker's perspective to every engagement to maximize cybersecurity investments and improve the security posture and operational resiliency of our clients. Founded in 1998, IOActive is headquartered in Seattle with global operations, including state of the art hardware hacking labs in Seattle, WA, Madrid, Spain and Cheltenham, UK. Who you are: Embedded Device Security Consultants are responsible for performing high end security evaluations and research for our clients, focused on a range of embedded devices. In this role, you will work with other team members to deliver high quality results to IOActive's clients throughout the world. Our consultants maintain a high level of expertise regarding known threats and technical advances in embedded security. This position requires expert knowledge in areas such as C, Java, assembly languages, open platforms, and cryptography. The Embedded Device Security Consultant will undertake advanced level security evaluation tasks and duties in order to meet customer requirements and project deadlines. What you'll do: Investigate possible logical attack scenarios by interpreting the code review findings, orienting the attack paths, and analyzing the test results Develop sophisticated, state of the art attacks that integrate the latest attack methods against embedded products Create tools to assist in project goals Communicate complex vulnerabilities to both technical and non technical client staff Evangelize IOActive Labs through blogs, white papers, presentations, etc. Support business development efforts through the scoping of engagements What you bring: Required Technical Skills Rapid identification of attack surfaces and entry points using implicit threat modeling techniques Ability to connect and use JTAG/on chip Debuggers Low level C code review Crypto implementation code reviews, specifically for secure boot and code signing Java, especially Android app side ARM 32 and 64 bit assembly Wi Fi/Bluetooth Reverse engineering, specifically firmware Hardware/embedded system hacking Vulnerability assessment and penetration testing Knowledge of security related topics, such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methodologies, secure data transfer, secure data storage Consulting Skills + Experience Ability to work independently under deadline Rigorous attention to detail and strong analytic skills Ability to write test plans based upon initial impressions and discussions with the team Comfortable navigating large codebases with minimal guidance Excellent command of written and spoken English Comfortable working as part of a multinational and multidisciplinary team Logical and structured approach to projects 3 5 years or more of relevant work experience in a high paced, enterprise consulting environment What We Offer A chance to work with an industry leader in cyber security Access to world class technical teams and research A high energy, collaborative team that values innovation ️ Opportunities for travel Competitive compensation and performance based incentives If this sounds like your kind of challenge, we'd love to hear from you. Let's talk! Why IOActive: We have over 25 years of experience that's established and stable; yet high growth with the energy, passion and dynamic work environment of a startup. We are renowned for our innovation and thought leadership within our high profile, cutting edge space. We're one of "the good guys" doing crazy cool stuff to thwart bad guys in a critically important business, social and political arena. Our work is great fun with great importance. Above all else, we value our people and our customers. Relationships matter. IOActive is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. IOActive makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Feb 28, 2026
Full time
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries-helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies - breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries-ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies list - all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 Bn Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. Summary The Team Lead, Payroll Compliance will ensure payroll and tax compliance across EMEA, aligning processes with legal requirements. You will lead a team of experts, collaborate with cross-functional teams, and provide compliance insights to support payroll system development. Staying informed on relevant legislative changes, you will ensure systems are updated and proactively address compliance risks. This position is vital to Deel's mission of providing global payroll solutions, ensuring that we meet regulatory standards while delivering seamless service to our customers. Responsibilities Oversee payroll and tax compliance with region regulations, ensuring all processes align with legal requirements. Build a small team of experts to ensure coverage across critical region jurisdictions, aligned with our product strategy. Support the Product Management team by providing insights and guidance on legal and compliance issues during payroll engine development. Keep abreast of legislative changes in payroll and tax laws within the region, and advise on necessary updates to the payroll systems. Act as a liaison between engineering, product, design and compliance teams, facilitating effective integration of tax and compliance requirements. Identify potential compliance risks in payroll processes and suggest preventive or corrective actions. Review and approve payroll system process architectures and designs to ensure they meet compliance standards. Communicate with internal stakeholders and external partners, such as legal advisors, to gather and disseminate relevant compliance information. Educate product and development teams on specific compliance requirements and best practices in the region payroll context. Maintain detailed records of compliance checks, decisions, and advice provided, ensuring transparency and accountability. Regularly review and recommend improvements to payroll systems and processes to enhance compliance, efficiency, and user experience. Qualifications A Bachelor's degree in Accounting, Finance, Business, or a related field, or an equivalent combination of education and experience. Minimum of 5 years of experience in payroll compliance, tax, or a related field, with a strong understanding of regional payroll and tax regulations. 2+ years of experience managing teams, including responsibilities for overseeing compliance processes, providing guidance, and leading cross-functional collaboration. Strong knowledge of payroll systems, tax compliance, and legal regulations, particularly in global or regional contexts. Proficiency in analyzing compliance risks, improving payroll systems, and integrating tax and compliance requirements into product development. Excellent communication and interpersonal skills, with the ability to educate and collaborate with both internal teams and external stakeholders. Strong problem solving abilities, with a keen attention to detail and the capacity to manage complex compliance challenges. Ability to drive process improvements and deliver results in a fast paced, dynamic environment. Familiarity with payroll software and systems (experience with Deel or similar platforms is a plus). Certifications in payroll compliance, tax, or related fields are a plus (e.g., CIPP, CPA). Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Some things you'll enjoy Stock grant opportunities dependent on your role, employment status and location Additional perks and benefits based on your employment status and country The flexibility of remote work, including optional WeWork access At Deel, we're an equal opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics. Unless otherwise agreed, we will communicate with job applicants using Deel specific emails, which and other acquired company emails You can view the most up to date job listings at Deel by visiting our careers page. Deel is an equal opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at . As part of our hiring process, we primarily rely on interviews and role related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations. This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. As a fully remote company, we also utilise AI powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Privacy Policy. For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT; results are available at Ashby, Covey.
Feb 28, 2026
Full time
Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries-helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies - breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries-ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies list - all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 Bn Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. Summary The Team Lead, Payroll Compliance will ensure payroll and tax compliance across EMEA, aligning processes with legal requirements. You will lead a team of experts, collaborate with cross-functional teams, and provide compliance insights to support payroll system development. Staying informed on relevant legislative changes, you will ensure systems are updated and proactively address compliance risks. This position is vital to Deel's mission of providing global payroll solutions, ensuring that we meet regulatory standards while delivering seamless service to our customers. Responsibilities Oversee payroll and tax compliance with region regulations, ensuring all processes align with legal requirements. Build a small team of experts to ensure coverage across critical region jurisdictions, aligned with our product strategy. Support the Product Management team by providing insights and guidance on legal and compliance issues during payroll engine development. Keep abreast of legislative changes in payroll and tax laws within the region, and advise on necessary updates to the payroll systems. Act as a liaison between engineering, product, design and compliance teams, facilitating effective integration of tax and compliance requirements. Identify potential compliance risks in payroll processes and suggest preventive or corrective actions. Review and approve payroll system process architectures and designs to ensure they meet compliance standards. Communicate with internal stakeholders and external partners, such as legal advisors, to gather and disseminate relevant compliance information. Educate product and development teams on specific compliance requirements and best practices in the region payroll context. Maintain detailed records of compliance checks, decisions, and advice provided, ensuring transparency and accountability. Regularly review and recommend improvements to payroll systems and processes to enhance compliance, efficiency, and user experience. Qualifications A Bachelor's degree in Accounting, Finance, Business, or a related field, or an equivalent combination of education and experience. Minimum of 5 years of experience in payroll compliance, tax, or a related field, with a strong understanding of regional payroll and tax regulations. 2+ years of experience managing teams, including responsibilities for overseeing compliance processes, providing guidance, and leading cross-functional collaboration. Strong knowledge of payroll systems, tax compliance, and legal regulations, particularly in global or regional contexts. Proficiency in analyzing compliance risks, improving payroll systems, and integrating tax and compliance requirements into product development. Excellent communication and interpersonal skills, with the ability to educate and collaborate with both internal teams and external stakeholders. Strong problem solving abilities, with a keen attention to detail and the capacity to manage complex compliance challenges. Ability to drive process improvements and deliver results in a fast paced, dynamic environment. Familiarity with payroll software and systems (experience with Deel or similar platforms is a plus). Certifications in payroll compliance, tax, or related fields are a plus (e.g., CIPP, CPA). Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Some things you'll enjoy Stock grant opportunities dependent on your role, employment status and location Additional perks and benefits based on your employment status and country The flexibility of remote work, including optional WeWork access At Deel, we're an equal opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics. Unless otherwise agreed, we will communicate with job applicants using Deel specific emails, which and other acquired company emails You can view the most up to date job listings at Deel by visiting our careers page. Deel is an equal opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at . As part of our hiring process, we primarily rely on interviews and role related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations. This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. As a fully remote company, we also utilise AI powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Privacy Policy. For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT; results are available at Ashby, Covey.
