Overview At Data Connect, a Centre of Excellence within The University of Sheffield, we facilitate researcher access to vital health and social care data, directly contributing to research that enhances and saves lives. We are seeking a talented, strategic Delivery Lead to oversee the delivery of a portfolio of complex health data assets. This pivotal role sits at the intersection of academia and healthcare innovation, working closely with the Yorkshire and Humber Secure Data Environment (YHSDE) programme and specifically supporting the South Yorkshire Delivery Team. This role acts as the key bridge between Data Connect, the SY ICB, and the YHSDE; you will work across organisational boundaries to simplify complex data access and delivery processes. You will act as the key orchestrator for our team, translating researcher needs into actionable development plans, breaking down complex engineering and information governance requirements, and ensuring the seamless flow of our data pipelines. If you have experience leading multidisciplinary teams, thrive in dynamic and evolving environments, and want to be at the forefront of health data research, then we want to hear from you. Main Duties and Responsibilities The Delivery Lead is responsible for managing all active project and portfolio activity including: Portfolio & Product Delivery Oversee the end-to-end delivery lifecycle of complex health data assets, ensuring seamless progress from initial request to final output. Proactively identify project risks and resolve delivery bottlenecks by convening technical and governance experts. Manage team capacity and resource allocation across the active portfolio in collaboration with other Data Connect Project Managers. Stakeholder Management Serve as the primary liaison for the YHSDE programme, ensuring South Yorkshire delivery is fully integrated with central functions through regular regional engagement (including travel to Leeds and York). Act as the primary interface between researchers, regional stakeholders, and the internal Data Connect technical teams. Create, foster and manage new relationships with NHS trusts and other Data owner organisations. Governance & Technical Process Standardisation Translate complex Information Governance (IG) frameworks and regional policies into actionable development tasks for the team. Translate complex research objectives into technical requirements, while effectively managing stakeholder expectations around technical or governance constraints. Lead the design and implementation of Standard Operating Procedures (SOPs) to create a scalable, repeatable data request framework aligned with the central SDE team. Agile Team Leadership & Line Management Embed Agile practices (sprint planning, stand-ups, retrospectives) within the team to optimise output and meet delivery milestones. Provide formal line management and mentorship to direct reports, supporting their professional development and managing day-to-day performance. Strategic Contribution Use data-driven operational insights to contribute to the long term service design and evolution of Data Connect. The role will also require engagement with activities within the faculty of Health to share skills, knowledge and experience more widely to improve how we work together to meet the strategic objective of the University as a whole. Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Proven capability to manage a complex portfolio using Agile planning techniques (sprints, stand ups and retrospectives), effectively balancing competing demands on team capacity against challenging deadlines. (Essential) Experience planning future delivery strategy and shaping the team, with the flexibility to pivot on agreed plans and fix things when they go wrong. Proven ability to show the strategic value of work to gain stakeholder buy in. (Essential) Proven ability to influence, negotiate, and communicate with clarity when engaging with senior staff, clinical leads, and external data providers, effectively translating complex technical constraints and requirements into aligned project scopes. (Essential) Have an enabling, supportive, and collaborative leadership style, and foster a high performing team culture. (Essential) Ability to develop and implement Standard Operating Procedures (SOPs) and streamlined workflows to improve service efficiency and user experience. (Essential) Proven ownership of risk management, with the ability to not only identify and track complex project risks, but actively mitigate and resolve them. Experience in navigating the intersection of technical delivery and information governance to safely clear blockers and ensure compliance. (Essential) Ability to stay ahead of changing national data policies and a willingness to keep upskilling. Experienced at building professional networks to bring fresh insights into the team's delivery strategy. (Essential) Experience of managing multidisciplinary technical teams (e.g., data engineers, developers) and a proven ability to continuously improve their working processes and output quality. (Essential) Experience working with Sensitive Data and experience of working within Trusted Research Environments (TREs) or Secure Data Environments (SDEs), with a strong grasp of UK health data standards and NHS data governance frameworks. (Desirable) Further Information Grade: 8 Salary: £48,822 - £58,225 per annum pro rata with the potential to progress to £65,509 through sustained exceptional contribution. Work arrangement: Full time Duration: FTC - 12 Months - Anticipated start August 2026 Line manager: Data Connect Operational Lead Direct reports: Data Scientist, Junior Data Scientist, Information Governance Manager, Data Manager Our website: Next Steps in the Recruitment Process It is anticipated that the selection process will take place in late July. This will consist of an interview, with a test to be sent out beforehand to present at the interview. We plan to let candidates know if they have progressed to the selection stage approximately 2 weeks after the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact dph staffing . What We Offer Minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more. Flexible working opportunities, including hybrid working for some roles. Generous pension scheme. A wide range of discounts and rewards on shopping, eating out and travel. A variety of staff networks, providing opportunities for social interaction, peer support and personal development (Race Equality, LGBT+, Women's and Parent's networks). Recognition Awards to reward staff who go above and beyond in their role. A commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework. A range of generous family friendly policies Paid time off for parenting and caring emergencies Access to menopause support in the workplace Paid time off and support for fertility treatment And more Criminal Record A basic DBS check will be needed for this role. More details on the checks can be found on the Government website: gov.uk/criminal-record-checks-apply-role. Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page: sheffield.ac.uk/jobs/candidates. Disability Confident Leader We are a Disability Confident Leader. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
20/07/2026
Full time
Overview At Data Connect, a Centre of Excellence within The University of Sheffield, we facilitate researcher access to vital health and social care data, directly contributing to research that enhances and saves lives. We are seeking a talented, strategic Delivery Lead to oversee the delivery of a portfolio of complex health data assets. This pivotal role sits at the intersection of academia and healthcare innovation, working closely with the Yorkshire and Humber Secure Data Environment (YHSDE) programme and specifically supporting the South Yorkshire Delivery Team. This role acts as the key bridge between Data Connect, the SY ICB, and the YHSDE; you will work across organisational boundaries to simplify complex data access and delivery processes. You will act as the key orchestrator for our team, translating researcher needs into actionable development plans, breaking down complex engineering and information governance requirements, and ensuring the seamless flow of our data pipelines. If you have experience leading multidisciplinary teams, thrive in dynamic and evolving environments, and want to be at the forefront of health data research, then we want to hear from you. Main Duties and Responsibilities The Delivery Lead is responsible for managing all active project and portfolio activity including: Portfolio & Product Delivery Oversee the end-to-end delivery lifecycle of complex health data assets, ensuring seamless progress from initial request to final output. Proactively identify project risks and resolve delivery bottlenecks by convening technical and governance experts. Manage team capacity and resource allocation across the active portfolio in collaboration with other Data Connect Project Managers. Stakeholder Management Serve as the primary liaison for the YHSDE programme, ensuring South Yorkshire delivery is fully integrated with central functions through regular regional engagement (including travel to Leeds and York). Act as the primary interface between researchers, regional stakeholders, and the internal Data Connect technical teams. Create, foster and manage new relationships with NHS trusts and other Data owner organisations. Governance & Technical Process Standardisation Translate complex Information Governance (IG) frameworks and regional policies into actionable development tasks for the team. Translate complex research objectives into technical requirements, while effectively managing stakeholder expectations around technical or governance constraints. Lead the design and implementation of Standard Operating Procedures (SOPs) to create a scalable, repeatable data request framework aligned with the central SDE team. Agile Team Leadership & Line Management Embed Agile practices (sprint planning, stand-ups, retrospectives) within the team to optimise output and meet delivery milestones. Provide formal line management and mentorship to direct reports, supporting their professional development and managing day-to-day performance. Strategic Contribution Use data-driven operational insights to contribute to the long term service design and evolution of Data Connect. The role will also require engagement with activities within the faculty of Health to share skills, knowledge and experience more widely to improve how we work together to meet the strategic objective of the University as a whole. Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Proven capability to manage a complex portfolio using Agile planning techniques (sprints, stand ups and retrospectives), effectively balancing competing demands on team capacity against challenging deadlines. (Essential) Experience planning future delivery strategy and shaping the team, with the flexibility to pivot on agreed plans and fix things when they go wrong. Proven ability to show the strategic value of work to gain stakeholder buy in. (Essential) Proven ability to influence, negotiate, and communicate with clarity when engaging with senior staff, clinical leads, and external data providers, effectively translating complex technical constraints and requirements into aligned project scopes. (Essential) Have an enabling, supportive, and collaborative leadership style, and foster a high performing team culture. (Essential) Ability to develop and implement Standard Operating Procedures (SOPs) and streamlined workflows to improve service efficiency and user experience. (Essential) Proven ownership of risk management, with the ability to not only identify and track complex project risks, but actively mitigate and resolve them. Experience in navigating the intersection of technical delivery and information governance to safely clear blockers and ensure compliance. (Essential) Ability to stay ahead of changing national data policies and a willingness to keep upskilling. Experienced at building professional networks to bring fresh insights into the team's delivery strategy. (Essential) Experience of managing multidisciplinary technical teams (e.g., data engineers, developers) and a proven ability to continuously improve their working processes and output quality. (Essential) Experience working with Sensitive Data and experience of working within Trusted Research Environments (TREs) or Secure Data Environments (SDEs), with a strong grasp of UK health data standards and NHS data governance frameworks. (Desirable) Further Information Grade: 8 Salary: £48,822 - £58,225 per annum pro rata with the potential to progress to £65,509 through sustained exceptional contribution. Work arrangement: Full time Duration: FTC - 12 Months - Anticipated start August 2026 Line manager: Data Connect Operational Lead Direct reports: Data Scientist, Junior Data Scientist, Information Governance Manager, Data Manager Our website: Next Steps in the Recruitment Process It is anticipated that the selection process will take place in late July. This will consist of an interview, with a test to be sent out beforehand to present at the interview. We plan to let candidates know if they have progressed to the selection stage approximately 2 weeks after the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact dph staffing . What We Offer Minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more. Flexible working opportunities, including hybrid working for some roles. Generous pension scheme. A wide range of discounts and rewards on shopping, eating out and travel. A variety of staff networks, providing opportunities for social interaction, peer support and personal development (Race Equality, LGBT+, Women's and Parent's networks). Recognition Awards to reward staff who go above and beyond in their role. A commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework. A range of generous family friendly policies Paid time off for parenting and caring emergencies Access to menopause support in the workplace Paid time off and support for fertility treatment And more Criminal Record A basic DBS check will be needed for this role. More details on the checks can be found on the Government website: gov.uk/criminal-record-checks-apply-role. Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page: sheffield.ac.uk/jobs/candidates. Disability Confident Leader We are a Disability Confident Leader. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text to speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text to speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++. Define and enforce best practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross version compatibility (Windows 10/11+), and maintainability. Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen reader support, and usability for users with disabilities. Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long term roadmap for the Windows platform. Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases. Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions. An ideal candidate should have Required 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM). Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code. Proven track record of designing, building, and shipping production quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability. Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture level decisions. Strong communication skills; ability to articulate tradeoffs, collaborate with cross functional teams, and drive consensus. A user centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks. Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high DPI support, responsiveness under load). Experience with localization/globalization, right to left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ability to take ownership of feature areas or modules and drive them long term, including maintenance, refactoring, and technical debt management. What we offer A high impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience. A collaborative, flat structure engineering culture - you are not just a coder, but a builder and a decision maker. Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect). Flexibility, autonomy, and responsibility: you define how to solve problems, own features end to end, and contribute to long term product vision. A purpose driven mission: building software that's reliable, accessible, and user centered - making a real difference for people. Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
20/07/2026
Full time
Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text to speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text to speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++. Define and enforce best practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross version compatibility (Windows 10/11+), and maintainability. Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen reader support, and usability for users with disabilities. Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long term roadmap for the Windows platform. Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases. Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions. An ideal candidate should have Required 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM). Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code. Proven track record of designing, building, and shipping production quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability. Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture level decisions. Strong communication skills; ability to articulate tradeoffs, collaborate with cross functional teams, and drive consensus. A user centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks. Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high DPI support, responsiveness under load). Experience with localization/globalization, right to left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ability to take ownership of feature areas or modules and drive them long term, including maintenance, refactoring, and technical debt management. What we offer A high impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience. A collaborative, flat structure engineering culture - you are not just a coder, but a builder and a decision maker. Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect). Flexibility, autonomy, and responsibility: you define how to solve problems, own features end to end, and contribute to long term product vision. A purpose driven mission: building software that's reliable, accessible, and user centered - making a real difference for people. Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
20/07/2026
Full time
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
20/07/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Cloud EngineerApplyremote type: Hybridlocations: Crawley, United Kingdom: Conwy, United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101309Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details Viridien is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both Viridien and client environments.This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within Viridien and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both Viridien and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy L earning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
20/07/2026
Full time
Senior Cloud EngineerApplyremote type: Hybridlocations: Crawley, United Kingdom: Conwy, United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101309Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details Viridien is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both Viridien and client environments.This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within Viridien and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both Viridien and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy L earning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
20/07/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Data Scientist / Deep Learning Practitioner Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level Location: London or Nottingham Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. The skills and experience you'll need Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham OR London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
We are in the process of building and rolling out our next generation, dynamic, scalable, and resilient Fulfilment platform for Tesco, to address both manual and robotic powered automate fulfilment operations, across all the customer order fulfilment locations. This highly optimized and continuously improving fulfilment platform is designed to be used to fulfil all product categories - Grocery /GM and Fashion, of Customer Orders. This platform, Fulfilment Point System (FPS), enables all the customer order fulfilment centres across different geographies to pick, marshal and dispatch customer orders on one hand and manage the site workflow through a real-time visualisation and intervention tool, on the other hand. Ours is a globally distributed, full stack Java tech team and our building blocks consist of a set of Microservice components, backend APIs, Rich UI, robust Eventing Platform and Data layer components utilising a wide range of modern technologies including: Java, RxJava, SpringBoot Kafka, PostgreSQL and Couchbase Docker, Kubernetes, Jenkins, Azure DevOps, Splunk, AppDynamics, New Relic Azure Cloud We are responsible for the software throughout the lifecycle. We maintain a DevOps culture employing continuous integration and delivery, supporting our code through to production and beyond. We are seeking highly skilled Software Development Engineers (SDEs) for a green field project to drive the design, development and implementation of software solution for next generation customer fulfilment system. As a key member of our engineering team, you will develop robust, scalable and efficient Java-based applications to optimise warehouse operations and drive operational success. You will directly contribute to evolving product, reducing cost and increasing profitability. Responsibilities Design and Develop: Architect and build high-performance applications. System Optimisation: Collaborate with cross functional teams to enhance system efficiency, scalability and reliability for mission critical applications. Integration: Develop APIs and microservices to integrated with enterprise API and third-party platforms. Code Quality: Write clean, maintainable and well documented code, adhere to best practices and coding standards. Troubleshooting: Diagnose and resolve complex technical issues in real-time to ensure un-interrupted operations. Mentorship: guide junior engineers and foster culture of continuous improvement. Innovation & Collaboration: Stay ahead of industry, work closely with hardware, data scientists and operation team. Experience relevant for this job Previous experience of having done product development using agile methodologies Hands on experience of building and supporting reliable and operationally robust full stack and distributed Java applications / products Any previous experience of having contributed in a globally distributed software engineering teams would be a big plus. Tech Skills Programming Demonstrate in depth knowledge of IDE, language, and toolset in language of choice. Implement critical path components in a large or complex or project. Demonstrate excellent understanding of language & framework and a good working knowledge of the abstraction layer underneath. Comfortably test drive any feature/comfortable with TDD cycle. Comfortably debug/find complex problems. Design Identify and apply appropriate design patterns to problems. Understand Idempotence. Actively practice the boy scout principle, leaves design, code in a better state than when arrived. Understand importance of domain model and can coherently model a problem domain within a given context. Understand design patterns such as CQRS and eventual consist. Understand how to design for performance at all levels. Development Practice Automate everything by default. Build a CI/CD pipeline. Tech Stack Specialization Java, Spring boot Kafka Postgres Couchbase CI/CD: Azure pipelines / Git Actions. Cloud: Azure We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process.
20/07/2026
Full time
We are in the process of building and rolling out our next generation, dynamic, scalable, and resilient Fulfilment platform for Tesco, to address both manual and robotic powered automate fulfilment operations, across all the customer order fulfilment locations. This highly optimized and continuously improving fulfilment platform is designed to be used to fulfil all product categories - Grocery /GM and Fashion, of Customer Orders. This platform, Fulfilment Point System (FPS), enables all the customer order fulfilment centres across different geographies to pick, marshal and dispatch customer orders on one hand and manage the site workflow through a real-time visualisation and intervention tool, on the other hand. Ours is a globally distributed, full stack Java tech team and our building blocks consist of a set of Microservice components, backend APIs, Rich UI, robust Eventing Platform and Data layer components utilising a wide range of modern technologies including: Java, RxJava, SpringBoot Kafka, PostgreSQL and Couchbase Docker, Kubernetes, Jenkins, Azure DevOps, Splunk, AppDynamics, New Relic Azure Cloud We are responsible for the software throughout the lifecycle. We maintain a DevOps culture employing continuous integration and delivery, supporting our code through to production and beyond. We are seeking highly skilled Software Development Engineers (SDEs) for a green field project to drive the design, development and implementation of software solution for next generation customer fulfilment system. As a key member of our engineering team, you will develop robust, scalable and efficient Java-based applications to optimise warehouse operations and drive operational success. You will directly contribute to evolving product, reducing cost and increasing profitability. Responsibilities Design and Develop: Architect and build high-performance applications. System Optimisation: Collaborate with cross functional teams to enhance system efficiency, scalability and reliability for mission critical applications. Integration: Develop APIs and microservices to integrated with enterprise API and third-party platforms. Code Quality: Write clean, maintainable and well documented code, adhere to best practices and coding standards. Troubleshooting: Diagnose and resolve complex technical issues in real-time to ensure un-interrupted operations. Mentorship: guide junior engineers and foster culture of continuous improvement. Innovation & Collaboration: Stay ahead of industry, work closely with hardware, data scientists and operation team. Experience relevant for this job Previous experience of having done product development using agile methodologies Hands on experience of building and supporting reliable and operationally robust full stack and distributed Java applications / products Any previous experience of having contributed in a globally distributed software engineering teams would be a big plus. Tech Skills Programming Demonstrate in depth knowledge of IDE, language, and toolset in language of choice. Implement critical path components in a large or complex or project. Demonstrate excellent understanding of language & framework and a good working knowledge of the abstraction layer underneath. Comfortably test drive any feature/comfortable with TDD cycle. Comfortably debug/find complex problems. Design Identify and apply appropriate design patterns to problems. Understand Idempotence. Actively practice the boy scout principle, leaves design, code in a better state than when arrived. Understand importance of domain model and can coherently model a problem domain within a given context. Understand design patterns such as CQRS and eventual consist. Understand how to design for performance at all levels. Development Practice Automate everything by default. Build a CI/CD pipeline. Tech Stack Specialization Java, Spring boot Kafka Postgres Couchbase CI/CD: Azure pipelines / Git Actions. Cloud: Azure We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
20/07/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety critical or highly regulated industries to solve critical, complex, and high stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary The Senior Software Engineer (Backend) is a full time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digiLab's core product, The Uncertainty Engine. It encompasses a broad range of responsibilities that leverage expertise in software engineering and machine learning, with a strong focus on Python development within a fast paced, collaborative, and dynamic engineering environment. The Role As a Senior Software Engineer (Backend) at digiLab, you will be responsible for: Collaborate with a cross functional team to help lead on the design, development, and maintenance of high quality software solutions Contribute to architectural design, development, testing, and deployment of software applications Utilise expertise in AWS, Python, MongoDB, and other relevant technologies to build scalable, secure systems Apply security best practices throughout the software development lifecycle Foster a collaborative, learning oriented environment within the team Implement software design patterns, SOLID principles, and architectural best practices Demonstrate a deep understanding of CI/CD pipelines and ensure efficient deployment processes Apply site reliability engineering knowledge to enhance system reliability and performance Champion "Scrum" and contribute to team process improvements Collaborate with product management to translate business requirements into technical solutions Provide technical support and lead incident investigations Ensure adherence to RESTful API design principles In addition to backend work, you may also be required to support tasks on the frontend. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills & Experience Significant industry experience in (scientific) software development Demonstrable experience deploying AWS infrastructure as code Experience with DevOps and MLOps Degree level qualification in computer science or related field Professional experience with collaborative software development Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub and best practices Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end to end) Experience with Docker and other containerization platforms Proven ability to collaborate in a fast paced "agile" team, preferably using "scrum" Nice to Haves A Master's level qualification in a STEM field. Experience with front end development: HTML; CSS; React; Javascript/Typescript. Experience with UI/UX design principles. Experience with PyTorch or other deep learning libraries. An understanding of Bayesian statistics. Location On site. As an ambitious, rapidly growing start up, we're looking for proactive, adaptable people who thrive in a fast paced environment. Our standard working hours are 9.00-5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs. Our Culture and Values At digiLab, we prioritise work life balance with a 4 day workweek (Monday to Thursday), offering a full time salary and three day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement. Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation. Open & Honest Collaboration: Ensuring transparent communication and alignment. High Performance Standards: Continuously challenging ourselves to excel in delivery. Value Driven Work: Regularly assessing our contributions toward company goals. Benefits 4 day working week Competitive Salary BUPA private health care (via salary sacrifice) Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.) Equal Opportunities digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non discrimination seriously. Final Note We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.
20/07/2026
Full time
In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety critical or highly regulated industries to solve critical, complex, and high stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary The Senior Software Engineer (Backend) is a full time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digiLab's core product, The Uncertainty Engine. It encompasses a broad range of responsibilities that leverage expertise in software engineering and machine learning, with a strong focus on Python development within a fast paced, collaborative, and dynamic engineering environment. The Role As a Senior Software Engineer (Backend) at digiLab, you will be responsible for: Collaborate with a cross functional team to help lead on the design, development, and maintenance of high quality software solutions Contribute to architectural design, development, testing, and deployment of software applications Utilise expertise in AWS, Python, MongoDB, and other relevant technologies to build scalable, secure systems Apply security best practices throughout the software development lifecycle Foster a collaborative, learning oriented environment within the team Implement software design patterns, SOLID principles, and architectural best practices Demonstrate a deep understanding of CI/CD pipelines and ensure efficient deployment processes Apply site reliability engineering knowledge to enhance system reliability and performance Champion "Scrum" and contribute to team process improvements Collaborate with product management to translate business requirements into technical solutions Provide technical support and lead incident investigations Ensure adherence to RESTful API design principles In addition to backend work, you may also be required to support tasks on the frontend. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills & Experience Significant industry experience in (scientific) software development Demonstrable experience deploying AWS infrastructure as code Experience with DevOps and MLOps Degree level qualification in computer science or related field Professional experience with collaborative software development Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub and best practices Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end to end) Experience with Docker and other containerization platforms Proven ability to collaborate in a fast paced "agile" team, preferably using "scrum" Nice to Haves A Master's level qualification in a STEM field. Experience with front end development: HTML; CSS; React; Javascript/Typescript. Experience with UI/UX design principles. Experience with PyTorch or other deep learning libraries. An understanding of Bayesian statistics. Location On site. As an ambitious, rapidly growing start up, we're looking for proactive, adaptable people who thrive in a fast paced environment. Our standard working hours are 9.00-5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs. Our Culture and Values At digiLab, we prioritise work life balance with a 4 day workweek (Monday to Thursday), offering a full time salary and three day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement. Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation. Open & Honest Collaboration: Ensuring transparent communication and alignment. High Performance Standards: Continuously challenging ourselves to excel in delivery. Value Driven Work: Regularly assessing our contributions toward company goals. Benefits 4 day working week Competitive Salary BUPA private health care (via salary sacrifice) Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.) Equal Opportunities digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non discrimination seriously. Final Note We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. What You'll Do Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. Document infrastructure, workflows, and operational procedures clearly and thoroughly. What We're Looking For Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed systems. Excellent collaboration and communication skills, with experience working in cross-functional teams. Understanding of security and compliance best practices for both software and ML systems. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
20/07/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. What You'll Do Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. Document infrastructure, workflows, and operational procedures clearly and thoroughly. What We're Looking For Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed systems. Excellent collaboration and communication skills, with experience working in cross-functional teams. Understanding of security and compliance best practices for both software and ML systems. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude. Required qualifications, capabilities, and skills Formal training or certification onsoftware engineeringconcepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing Production scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists
20/07/2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude. Required qualifications, capabilities, and skills Formal training or certification onsoftware engineeringconcepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing Production scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
20/07/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
relaytech.co is looking for a Senior Data Scientist to develop intelligence for pricing decisions in their last-mile marketplace. This senior role involves collaborating with scientists and engineers to analyze and define pricing strategies while making impactful decisions every day. Located in Shoreditch, the office is designed for in-person collaboration, with 4 days on-site and 1 day remote. The company offers generous equity options, comprehensive health benefits, and extensive perks.
19/07/2026
Full time
relaytech.co is looking for a Senior Data Scientist to develop intelligence for pricing decisions in their last-mile marketplace. This senior role involves collaborating with scientists and engineers to analyze and define pricing strategies while making impactful decisions every day. Located in Shoreditch, the office is designed for in-person collaboration, with 4 days on-site and 1 day remote. The company offers generous equity options, comprehensive health benefits, and extensive perks.
Depop is looking for a Senior Machine Learning Scientist to join their Search & Ranking team in the UK. The role involves researching and delivering machine learning solutions for search and discovery challenges, including personalized search results and pricing models. Candidates should have significant experience in Data Science, proficiency in Python, and a passion for collaborating with multidisciplinary teams. The position offers flexible working options and comprehensive health and well-being perks.
19/07/2026
Full time
Depop is looking for a Senior Machine Learning Scientist to join their Search & Ranking team in the UK. The role involves researching and delivering machine learning solutions for search and discovery challenges, including personalized search results and pricing models. Candidates should have significant experience in Data Science, proficiency in Python, and a passion for collaborating with multidisciplinary teams. The position offers flexible working options and comprehensive health and well-being perks.
