About the role We're looking for a Software Engineer to help us build high-quality, reliable backend systems that accelerate our mission. This role sits within our mortgage engineering team. You'll work across the backend stack, owning features end to end: from shaping product and technical requirements through implementation, launch, and iteration. This role is ideal for a hungry, ambitious engineer who wants to step up quickly; someone with strong engineering fundamentals, high ownership, and the drive to grow into a senior-level contributor. What you'll be doing: Build and ship high-quality backend features using Python, Django, RESTful APIs, GraphQL, Pydantic, Postgres, and Google Cloud Own backend work from concept through delivery, including technical design, implementation, testing, deployment, and iteration Collaborate with internal teams and external engineering partners to deliver features with cross-team dependencies Work closely with frontend to shape excellent user-facing and internal experiences Bring strong technical judgment to the table, improving not just how systems work, but how they scale and evolve Contribute to backend architecture, API design, data modelling, performance, reliability, security, and developer experience Raise the standard of your own work and the work of those around you Who you are: Strong hands-on experience building backend systems with Python Practical experience working with Django Experience designing or consuming RESTful APIs Experience designing and exposing GraphQL APIs for frontend applications Experience working with Postgres and relational data models Familiarity with Pydantic, typed Python, or modern Python engineering practices Some experience with cloud infrastructure, ideally Google Cloud, or a strong desire to learn A good eye for clean architecture, API design, performance, reliability, and maintainability A product-minded approach: you care about the "why" behind what you're building A strong sense of ownership and accountability The ability to uncover unknowns, navigate ambiguity, and turn complex problems into clear, shippable solutions Pride in your craft, clean code, thoughtful reviews, and helping others grow Ideally, you'll also have: Experience with PDF generation or document rendering workflows Experience in early-stage or fast-moving product teams Familiarity with observability, monitoring, alerting, and infrastructure operations A data-driven approach to decision-making Openness to change, innovation, and the ways AI will reshape how products are built and used What makes someone successful in this role You don't just "take tickets." You think like a product builder. You're hungry to learn, quick to take ownership, and motivated by the chance to grow fast. You notice when a system could be simpler, when an API could be clearer, or when a technical decision needs more care. You're comfortable stepping into ambiguity, asking good questions, making decisions, and pushing work over the finish line. What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership through WellHub Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
23/06/2026
Full time
About the role We're looking for a Software Engineer to help us build high-quality, reliable backend systems that accelerate our mission. This role sits within our mortgage engineering team. You'll work across the backend stack, owning features end to end: from shaping product and technical requirements through implementation, launch, and iteration. This role is ideal for a hungry, ambitious engineer who wants to step up quickly; someone with strong engineering fundamentals, high ownership, and the drive to grow into a senior-level contributor. What you'll be doing: Build and ship high-quality backend features using Python, Django, RESTful APIs, GraphQL, Pydantic, Postgres, and Google Cloud Own backend work from concept through delivery, including technical design, implementation, testing, deployment, and iteration Collaborate with internal teams and external engineering partners to deliver features with cross-team dependencies Work closely with frontend to shape excellent user-facing and internal experiences Bring strong technical judgment to the table, improving not just how systems work, but how they scale and evolve Contribute to backend architecture, API design, data modelling, performance, reliability, security, and developer experience Raise the standard of your own work and the work of those around you Who you are: Strong hands-on experience building backend systems with Python Practical experience working with Django Experience designing or consuming RESTful APIs Experience designing and exposing GraphQL APIs for frontend applications Experience working with Postgres and relational data models Familiarity with Pydantic, typed Python, or modern Python engineering practices Some experience with cloud infrastructure, ideally Google Cloud, or a strong desire to learn A good eye for clean architecture, API design, performance, reliability, and maintainability A product-minded approach: you care about the "why" behind what you're building A strong sense of ownership and accountability The ability to uncover unknowns, navigate ambiguity, and turn complex problems into clear, shippable solutions Pride in your craft, clean code, thoughtful reviews, and helping others grow Ideally, you'll also have: Experience with PDF generation or document rendering workflows Experience in early-stage or fast-moving product teams Familiarity with observability, monitoring, alerting, and infrastructure operations A data-driven approach to decision-making Openness to change, innovation, and the ways AI will reshape how products are built and used What makes someone successful in this role You don't just "take tickets." You think like a product builder. You're hungry to learn, quick to take ownership, and motivated by the chance to grow fast. You notice when a system could be simpler, when an API could be clearer, or when a technical decision needs more care. You're comfortable stepping into ambiguity, asking good questions, making decisions, and pushing work over the finish line. What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership through WellHub Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
Application Engineer Location: Oxford Street, Manchester Role Type: Permanent Work Setup: Hybrid - 3 days in the office (Tuesday to Thursday) Who We Are Vanguard is one of the world's leading investment firms, dedicated to helping clients achieve lasting financial success. Established in 1975, its unique ownership structure-where funds own the company and investors own the funds-ensures all efforts are focused on client outcomes. Known for integrity, innovation, and low-cost investing, fosters an inclusive and collaborative culture that empowers employees to make a meaningful impact globally. What You'll Do Lead senior-level systems analysis, design, development and implementation of applications and databases, including integration of third-party products. Translate technical specifications into efficient, well-tested code for complex new builds and enhancements, producing programmes, reports and test artefacts. Promote automation-friendly development practices by designing and implementing tests that support continuous integration and delivery. Deploy code across development, test and production environments on schedule, provide production follow-up support, and manage change-control documentation. Apply and advocate development methodology and architecture standards; mentor less-experienced colleagues and resolve escalated technical issues. Engage with internal clients and cross-functional teams to perform systems analysis, explain technical considerations at the appropriate level, and ensure solutions meet business and technology needs. Ensure compliance with IT and information-security policies, verify deliverables meet requirements, and participate in special projects or other duties as required. What You Bring Minimum five years' hands-on experience in software development, system integration, database design and Back End architecture. Bachelor's or Master's Degree/Diploma in Computer Science or in an equivalent discipline. Proven expertise in Server Side development and API management, with strong skills in database design, optimisation, debugging and performance tuning. Required technical stack: Java, Spring Boot, Node.js, Angular (Front End essential), SQL, GitHub/Bitbucket, Bamboo, CI/CD, TDD/BDD; plus experience with Python. Practical experience with AWS services (CloudFormation, ECS/Fargate, Lambda, DynamoDB, S3, IAM); AWS Cloud Practitioner certification preferred. Observability and tooling experience with Splunk, Honeycomb Agile working knowledge (JIRA, Confluence) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
23/06/2026
Full time
Application Engineer Location: Oxford Street, Manchester Role Type: Permanent Work Setup: Hybrid - 3 days in the office (Tuesday to Thursday) Who We Are Vanguard is one of the world's leading investment firms, dedicated to helping clients achieve lasting financial success. Established in 1975, its unique ownership structure-where funds own the company and investors own the funds-ensures all efforts are focused on client outcomes. Known for integrity, innovation, and low-cost investing, fosters an inclusive and collaborative culture that empowers employees to make a meaningful impact globally. What You'll Do Lead senior-level systems analysis, design, development and implementation of applications and databases, including integration of third-party products. Translate technical specifications into efficient, well-tested code for complex new builds and enhancements, producing programmes, reports and test artefacts. Promote automation-friendly development practices by designing and implementing tests that support continuous integration and delivery. Deploy code across development, test and production environments on schedule, provide production follow-up support, and manage change-control documentation. Apply and advocate development methodology and architecture standards; mentor less-experienced colleagues and resolve escalated technical issues. Engage with internal clients and cross-functional teams to perform systems analysis, explain technical considerations at the appropriate level, and ensure solutions meet business and technology needs. Ensure compliance with IT and information-security policies, verify deliverables meet requirements, and participate in special projects or other duties as required. What You Bring Minimum five years' hands-on experience in software development, system integration, database design and Back End architecture. Bachelor's or Master's Degree/Diploma in Computer Science or in an equivalent discipline. Proven expertise in Server Side development and API management, with strong skills in database design, optimisation, debugging and performance tuning. Required technical stack: Java, Spring Boot, Node.js, Angular (Front End essential), SQL, GitHub/Bitbucket, Bamboo, CI/CD, TDD/BDD; plus experience with Python. Practical experience with AWS services (CloudFormation, ECS/Fargate, Lambda, DynamoDB, S3, IAM); AWS Cloud Practitioner certification preferred. Observability and tooling experience with Splunk, Honeycomb Agile working knowledge (JIRA, Confluence) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.
23/06/2026
Full time
About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details
23/06/2026
Full time
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
23/06/2026
Full time
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
22/06/2026
Full time
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
Senior Beacon Developer Competitive Salary + Uncapped Bonus Permanent Industry: Commodity Trading Location: London, UK Job Type: Permanent Our client is a global commodity trading firm building a strategic Beacon platform to support real time position reporting across its Power & Gas business. Following a successful Proof of Concept, they are expanding their Beacon engineering team to deliver the next phase of the programme. This is a hands on development role focused on modelling complex commodities products and building scalable solutions within Beacon. Working closely with traders, quantitative teams and business stakeholders, successful candidates will play a key role in shaping the firm's long term Beacon capability. What You'll Be Doing Develop and enhance Beacon based applications supporting real time position reporting and risk management across Power & Gas trading portfolios. Build and maintain integrations to ingest and model complex commodity trading positions and structured products within Beacon. Collaborate closely with traders, quantitative analysts and business stakeholders to translate requirements into scalable technical solutions. Work with pricing and model outputs, ensuring accurate integration and representation within the Beacon platform. Contribute directly to software engineering delivery, writing high quality Python and Beacon code across the development lifecycle. Support the modelling of complex commodities products including renewable generation assets, storage structures, options and other non standard instruments. Partner with global technology and trading teams to expand the platform from the US market into Europe and additional regions. Participate in technical design discussions and help shape the future architecture of the firm's Beacon ecosystem. Engage confidently with front office stakeholders in a fast paced trading environment, managing challenging conversations professionally and constructively. Contribute to the growth of a specialist Beacon engineering capability within a global commodities trading business. Requirements Essential Hands on Beacon development experience with a proven track record of building and delivering solutions directly within the platform. Strong Python development skills and the ability to contribute independently across the software development lifecycle. Experience working within commodity trading, energy trading or broader commodities focused technology environments. Solid understanding of pricing models, risk calculations and quantitative outputs, with the ability to integrate these effectively into technology platforms. Strong stakeholder management and communication skills, with experience working directly alongside front office users and trading teams. Ability to operate effectively within a demanding, fast paced trading environment. Demonstrated problem solving capability and a pragmatic engineering mindset focused on delivery. Highly Desirable Experience within Power & Gas trading environments. Experience modelling complex commodities products including storage, renewables, structured products and optionality. Strong understanding of commodity risk and position management workflows. Experience working with alternative Python based quant and trading platforms such as Athena or Quartz. Quantitative background or exposure sufficient to understand pricing models and risk methodologies without necessarily being a dedicated quantitative developer. Approximately six months or more of genuine hands on Beacon development experience will be considered for particularly strong software engineers. Experience operating within global commodity trading organisations and interacting directly with trading desks. Permanent hires are preferred, although strong contractors will also be considered. The role is best suited to hands on engineers who enjoy building technology solutions rather than managing teams, although senior individual contributors will be considered.
22/06/2026
Full time
Senior Beacon Developer Competitive Salary + Uncapped Bonus Permanent Industry: Commodity Trading Location: London, UK Job Type: Permanent Our client is a global commodity trading firm building a strategic Beacon platform to support real time position reporting across its Power & Gas business. Following a successful Proof of Concept, they are expanding their Beacon engineering team to deliver the next phase of the programme. This is a hands on development role focused on modelling complex commodities products and building scalable solutions within Beacon. Working closely with traders, quantitative teams and business stakeholders, successful candidates will play a key role in shaping the firm's long term Beacon capability. What You'll Be Doing Develop and enhance Beacon based applications supporting real time position reporting and risk management across Power & Gas trading portfolios. Build and maintain integrations to ingest and model complex commodity trading positions and structured products within Beacon. Collaborate closely with traders, quantitative analysts and business stakeholders to translate requirements into scalable technical solutions. Work with pricing and model outputs, ensuring accurate integration and representation within the Beacon platform. Contribute directly to software engineering delivery, writing high quality Python and Beacon code across the development lifecycle. Support the modelling of complex commodities products including renewable generation assets, storage structures, options and other non standard instruments. Partner with global technology and trading teams to expand the platform from the US market into Europe and additional regions. Participate in technical design discussions and help shape the future architecture of the firm's Beacon ecosystem. Engage confidently with front office stakeholders in a fast paced trading environment, managing challenging conversations professionally and constructively. Contribute to the growth of a specialist Beacon engineering capability within a global commodities trading business. Requirements Essential Hands on Beacon development experience with a proven track record of building and delivering solutions directly within the platform. Strong Python development skills and the ability to contribute independently across the software development lifecycle. Experience working within commodity trading, energy trading or broader commodities focused technology environments. Solid understanding of pricing models, risk calculations and quantitative outputs, with the ability to integrate these effectively into technology platforms. Strong stakeholder management and communication skills, with experience working directly alongside front office users and trading teams. Ability to operate effectively within a demanding, fast paced trading environment. Demonstrated problem solving capability and a pragmatic engineering mindset focused on delivery. Highly Desirable Experience within Power & Gas trading environments. Experience modelling complex commodities products including storage, renewables, structured products and optionality. Strong understanding of commodity risk and position management workflows. Experience working with alternative Python based quant and trading platforms such as Athena or Quartz. Quantitative background or exposure sufficient to understand pricing models and risk methodologies without necessarily being a dedicated quantitative developer. Approximately six months or more of genuine hands on Beacon development experience will be considered for particularly strong software engineers. Experience operating within global commodity trading organisations and interacting directly with trading desks. Permanent hires are preferred, although strong contractors will also be considered. The role is best suited to hands on engineers who enjoy building technology solutions rather than managing teams, although senior individual contributors will be considered.
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Role Overview The Senior Automation Engineer is a senior, hands on role within the FX eTrading technology stack, responsible for owning backend automation capability, testing delivery, and release quality assessment for assigned applications or functional areas. The successful candidate will operate with a high degree of autonomy, taking ownership of automation strategy, framework development, test execution, coverage analysis, defect investigation, and quality sign off. The role is primarily focused on server side, service level, messaging, integration, data, and non functional automation rather than UI led testing. The role requires strong technical capability, sound judgement, and a continuous improvement mindset, including the responsible use of approved AI tooling to improve automation productivity, test design, analysis, and engineering outcomes. Key Responsibilities Own the automation approach, test execution, reporting, and release readiness assessment for assigned areas of the FX eTrading stack. Design, develop, maintain, and improve automated tests and frameworks across services, messaging flows, integrations, data validation, regression, resilience, and non functional testing. Act as the quality engineering owner for assigned applications or components, providing clear, evidence based sign off recommendations and risk assessments. Build automation that validates business critical backend behaviours, including pricing, order execution, market data, trade lifecycle events, risk flows, and downstream integration points. Integrate automated testing into CI/CD pipelines using tools such as Jenkins, TeamCity, or equivalent platforms. Review requirements, designs, user stories, interface contracts, data flows, and acceptance criteria to identify gaps, ambiguity, risk, and testability concerns. Define and report relevant quality metrics, including backend automation coverage, execution results, defect trends, test effectiveness, and release risk. Partner with Development, Business, Product, and Production Support teams to investigate defects, analyse logs, identify root causes, and prevent production issues. Drive practical improvements in backend test strategy, automation reliability, test data management, environment stability, service virtualisation, and defect prevention. Use approved AI assisted tooling responsibly to support code generation, test generation, documentation, refactoring, and analysis while complying with internal policies and controls. Support and mentor other engineers in automation best practices where required. Assess, elevate, and manage risks and control issues transparently, with appropriate consideration for clients, the firm, regulatory obligations, and production stability. Required Experience and Skills Significant experience in backend test automation, quality engineering, or software engineering within financial services, preferably in front office trading, eTrading, or low latency systems. Proven ability to independently own automation delivery, testing outcomes, and release quality assessment for complex or business critical backend applications. Strong Java coding skills, with the ability to write clean, maintainable, reviewable automation code. Experience designing, extending, and maintaining robust automated test frameworks for server side and integration testing. Strong experience testing services, messaging flows, event driven components, data flows, integrations, and distributed systems. Strong understanding of test analysis, manual and exploratory testing, risk based testing, BDD/TDD, and Agile delivery practices. Experience with CI/CD integration and automated test execution within build and deployment pipelines. Strong Unix/Linux skills and practical experience with log analysis, diagnostics, monitoring, and defect investigation. Working knowledge of SQL, data validation, file/message formats, and backend system interactions. Clear communication skills, with the ability to explain quality risks, test evidence, and release recommendations to technical and non technical stakeholders. Experience using AI assisted engineering tools would be advantageous, particularly where supported by demonstrable project work, GitHub examples, prototypes, or measurable productivity improvements. Advantageous Experience FX, Rates, Commodities, or broader front office trading domain knowledge. Understanding of pricing, order execution, market data, trade lifecycle, auto hedging, and risk management workflows. Experience with high volume, low latency, highly available systems and related performance, resilience, capacity, failover, and SLA considerations. Experience with messaging technologies, event driven architecture, contract testing, service virtualisation, test data management, or non functional testing. Experience with Cucumber, FitNesse, Python, SQL, observability tooling, or synthetic data generation. ISEB, ISTQB, or equivalent testing certification. Personal Characteristics Highly autonomous, proactive, and accountable for delivery outcomes. Comfortable working independently once onboarded, without close day to day supervision. Strong engineering mindset with a focus on backend automation, quality, maintainability, and continuous improvement. Pragmatic, delivery focused, and able to balance quality, speed, risk, and business priorities. Confident communicator who can challenge constructively and influence through evidence and risk based reasoning. High attention to detail, strong analytical skills, and resilience in a demanding front office technology environment. Education Bachelor's degree / University degree or equivalent experience. What we'll provide you 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
22/06/2026
Full time
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Role Overview The Senior Automation Engineer is a senior, hands on role within the FX eTrading technology stack, responsible for owning backend automation capability, testing delivery, and release quality assessment for assigned applications or functional areas. The successful candidate will operate with a high degree of autonomy, taking ownership of automation strategy, framework development, test execution, coverage analysis, defect investigation, and quality sign off. The role is primarily focused on server side, service level, messaging, integration, data, and non functional automation rather than UI led testing. The role requires strong technical capability, sound judgement, and a continuous improvement mindset, including the responsible use of approved AI tooling to improve automation productivity, test design, analysis, and engineering outcomes. Key Responsibilities Own the automation approach, test execution, reporting, and release readiness assessment for assigned areas of the FX eTrading stack. Design, develop, maintain, and improve automated tests and frameworks across services, messaging flows, integrations, data validation, regression, resilience, and non functional testing. Act as the quality engineering owner for assigned applications or components, providing clear, evidence based sign off recommendations and risk assessments. Build automation that validates business critical backend behaviours, including pricing, order execution, market data, trade lifecycle events, risk flows, and downstream integration points. Integrate automated testing into CI/CD pipelines using tools such as Jenkins, TeamCity, or equivalent platforms. Review requirements, designs, user stories, interface contracts, data flows, and acceptance criteria to identify gaps, ambiguity, risk, and testability concerns. Define and report relevant quality metrics, including backend automation coverage, execution results, defect trends, test effectiveness, and release risk. Partner with Development, Business, Product, and Production Support teams to investigate defects, analyse logs, identify root causes, and prevent production issues. Drive practical improvements in backend test strategy, automation reliability, test data management, environment stability, service virtualisation, and defect prevention. Use approved AI assisted tooling responsibly to support code generation, test generation, documentation, refactoring, and analysis while complying with internal policies and controls. Support and mentor other engineers in automation best practices where required. Assess, elevate, and manage risks and control issues transparently, with appropriate consideration for clients, the firm, regulatory obligations, and production stability. Required Experience and Skills Significant experience in backend test automation, quality engineering, or software engineering within financial services, preferably in front office trading, eTrading, or low latency systems. Proven ability to independently own automation delivery, testing outcomes, and release quality assessment for complex or business critical backend applications. Strong Java coding skills, with the ability to write clean, maintainable, reviewable automation code. Experience designing, extending, and maintaining robust automated test frameworks for server side and integration testing. Strong experience testing services, messaging flows, event driven components, data flows, integrations, and distributed systems. Strong understanding of test analysis, manual and exploratory testing, risk based testing, BDD/TDD, and Agile delivery practices. Experience with CI/CD integration and automated test execution within build and deployment pipelines. Strong Unix/Linux skills and practical experience with log analysis, diagnostics, monitoring, and defect investigation. Working knowledge of SQL, data validation, file/message formats, and backend system interactions. Clear communication skills, with the ability to explain quality risks, test evidence, and release recommendations to technical and non technical stakeholders. Experience using AI assisted engineering tools would be advantageous, particularly where supported by demonstrable project work, GitHub examples, prototypes, or measurable productivity improvements. Advantageous Experience FX, Rates, Commodities, or broader front office trading domain knowledge. Understanding of pricing, order execution, market data, trade lifecycle, auto hedging, and risk management workflows. Experience with high volume, low latency, highly available systems and related performance, resilience, capacity, failover, and SLA considerations. Experience with messaging technologies, event driven architecture, contract testing, service virtualisation, test data management, or non functional testing. Experience with Cucumber, FitNesse, Python, SQL, observability tooling, or synthetic data generation. ISEB, ISTQB, or equivalent testing certification. Personal Characteristics Highly autonomous, proactive, and accountable for delivery outcomes. Comfortable working independently once onboarded, without close day to day supervision. Strong engineering mindset with a focus on backend automation, quality, maintainability, and continuous improvement. Pragmatic, delivery focused, and able to balance quality, speed, risk, and business priorities. Confident communicator who can challenge constructively and influence through evidence and risk based reasoning. High attention to detail, strong analytical skills, and resilience in a demanding front office technology environment. Education Bachelor's degree / University degree or equivalent experience. What we'll provide you 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
22/06/2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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.
22/06/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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.
The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Responsibilities Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. Qualifications Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team.
21/06/2026
Full time
The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Responsibilities Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. Qualifications Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team.
London, England, United Kingdom Technology Senior Software Engineer (.NET) By bringing together next gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at Role You will join one of our established high performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product focused initiatives to expand and scale up our industry's leading Sportsbook and Risk Management products. One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. How you will work Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high performing teams. We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team's domain. If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you. As a Senior Software Engineer 1 (SR1) you and your team will build highly distributed, real time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry revolutionising product. You will lead execution of multi sprint features or systems with measurable business impact. We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data driven, evidence based mentality, comfortable with the principles of continuous experimentation and validation. What skills do you have? Expert level knowledge of at least one object oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) Flexibility to work on all areas of the service stack, front end, back end, infrastructure, etc. Strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling. Strong software architecture knowledge, including architectural patterns and how to apply them to highly scalable, fault tolerant, observable microservices and systems. Detailed knowledge of testing methodology (TDD) and designing high quality testing suites resilient to changes in implementation. Experience with source control, continuous integration, pipeline design, containerised workloads and infrastructure as code. Experience in messaging and asynchronous communication technologies (RabbitMQ, Pulsar) Understanding of Data Structures, Databases and Caching Technologies Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. Lead conversations that drive alignment and uncover edge cases others might miss. Experience mentoring engineers both within and outside the immediate team. It is advantageous for you to have knowledge of the following: Expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications ("AWS") Front end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Experience in building production grade software with Agentic AI What we expect from our co workers Curiosity and strong desire to learn and improve. Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. Time management and asynchronous communication skills relevant for a remote first engineering organization. Enthusiasm and ability to work collaboratively within a team. Excellent spoken and written English. Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement. We enjoy an 'office first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward Genius Sports. One team, being brave, driving change. We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture Genius Sports. Let us know when you apply if you need any assistance during the recruiting process due to a disability. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by any of the data you include. This also means that if you choose to disclose a disability the Talent Acquisition team will not be personally identifiable to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.
21/06/2026
Full time
London, England, United Kingdom Technology Senior Software Engineer (.NET) By bringing together next gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at Role You will join one of our established high performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product focused initiatives to expand and scale up our industry's leading Sportsbook and Risk Management products. One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. How you will work Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high performing teams. We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team's domain. If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you. As a Senior Software Engineer 1 (SR1) you and your team will build highly distributed, real time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry revolutionising product. You will lead execution of multi sprint features or systems with measurable business impact. We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data driven, evidence based mentality, comfortable with the principles of continuous experimentation and validation. What skills do you have? Expert level knowledge of at least one object oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) Flexibility to work on all areas of the service stack, front end, back end, infrastructure, etc. Strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling. Strong software architecture knowledge, including architectural patterns and how to apply them to highly scalable, fault tolerant, observable microservices and systems. Detailed knowledge of testing methodology (TDD) and designing high quality testing suites resilient to changes in implementation. Experience with source control, continuous integration, pipeline design, containerised workloads and infrastructure as code. Experience in messaging and asynchronous communication technologies (RabbitMQ, Pulsar) Understanding of Data Structures, Databases and Caching Technologies Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. Lead conversations that drive alignment and uncover edge cases others might miss. Experience mentoring engineers both within and outside the immediate team. It is advantageous for you to have knowledge of the following: Expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications ("AWS") Front end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Experience in building production grade software with Agentic AI What we expect from our co workers Curiosity and strong desire to learn and improve. Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. Time management and asynchronous communication skills relevant for a remote first engineering organization. Enthusiasm and ability to work collaboratively within a team. Excellent spoken and written English. Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement. We enjoy an 'office first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward Genius Sports. One team, being brave, driving change. We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture Genius Sports. Let us know when you apply if you need any assistance during the recruiting process due to a disability. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by any of the data you include. This also means that if you choose to disclose a disability the Talent Acquisition team will not be personally identifiable to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.
We're putting together a talented team to build the training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We're growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we've built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We're growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We're looking for a talented, curious and experimentation minded Senior Full Stack Engineer to join Growth Engineering team. This team owns key parts of the user journey into Runna, working across web and app to create high quality experiences that turn first time visitors into longterm, engaged subscribers. You'll collaborate closely with product, design and data partners, as well as our founders and CTO, to shape how new users first discover and experience Runna. What you'll be doing Architect, build, test and ship high impact user journeys and subscription funnels, focusing on turning curious visitors into active, engaged subscribers. Design and run experiments across web and app (such as onboarding flows, paywalls, and plan discovery experiences) to improve conversion at each step of the journey. Work closely with Product, Design and Data to prioritise opportunities, define clear success metrics and make decisions grounded in experiment results. Collaborate with other teams to ensure users have a smooth, consistent experience as they move between different products and platforms. Implement and maintain the instrumentation, tracking and tooling needed so we can understand behaviour, spot issues quickly and measure impact with confidence. Own features end to end: from early discovery and technical design through implementation, rollout, monitoring and iterative improvements. Contribute to our developer experience by improving CI/CD, testing and release workflows, enabling the team to ship and learn quickly. What you'll bring to the team Strong TypeScript/JavaScript experience. Experience building user facing product surfaces where conversion and UX really matter (onboarding, paywalls, landing pages, growth loops, etc). Comfortable working in a fast paced, iterative environment with lots of experimentation and learning from data. 2+ years experience in your main expertise area (frontend, backend or full stack). Skilled at delivering features end to end: from architecture and implementation through to rollout, measurement and iteration. You enjoy learning from experiments, and are as interested in what did not work as in the wins. Enthusiasm for our ways of working: Iterative development, continuous deployment and test automation. Knowledge sharing, pair programming and collaborative design. Shared ownership of code and outcomes across cross functional teams. Experience working full stack, or a strong interest in stretching across the stack. Bonus points if you have Experience with Swift or Kotlin for mobile, or Next.js for web experiences. Experience working on growth, experimentation, or funnel optimisation teams. Experience with analytics and experimentation tooling to support A/B tests. Our Tech Stack Frontend: React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect / Play Store Google Tag Manager Salary and Benefits We're offering a salary of £70,000-£78,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits is below:We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working - we typically spend 3 days a week together in our Vauxhall office ️ 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Headspace membership Money every year to spend on gear, events and the gym! Private health insurance with Bupa and workplace pension scheme Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Screening call with Talent team (30 minute video call) Getting to Know You + Live Coding (45-minute video call, first 25 mins will be an introductory chat followed by two live coding exercises from ) Take home technical task (max 1-2 hours to complete, or if you have something interesting you recently built and would like to showcase then that's perfectly OK) 1.5-hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will consist of system design and some general architecture/tech questions) Meet the team (in-person chat with founder(s) and rest of the team) Please let us know if there's anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner
21/06/2026
Full time
We're putting together a talented team to build the training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We're growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we've built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We're growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We're looking for a talented, curious and experimentation minded Senior Full Stack Engineer to join Growth Engineering team. This team owns key parts of the user journey into Runna, working across web and app to create high quality experiences that turn first time visitors into longterm, engaged subscribers. You'll collaborate closely with product, design and data partners, as well as our founders and CTO, to shape how new users first discover and experience Runna. What you'll be doing Architect, build, test and ship high impact user journeys and subscription funnels, focusing on turning curious visitors into active, engaged subscribers. Design and run experiments across web and app (such as onboarding flows, paywalls, and plan discovery experiences) to improve conversion at each step of the journey. Work closely with Product, Design and Data to prioritise opportunities, define clear success metrics and make decisions grounded in experiment results. Collaborate with other teams to ensure users have a smooth, consistent experience as they move between different products and platforms. Implement and maintain the instrumentation, tracking and tooling needed so we can understand behaviour, spot issues quickly and measure impact with confidence. Own features end to end: from early discovery and technical design through implementation, rollout, monitoring and iterative improvements. Contribute to our developer experience by improving CI/CD, testing and release workflows, enabling the team to ship and learn quickly. What you'll bring to the team Strong TypeScript/JavaScript experience. Experience building user facing product surfaces where conversion and UX really matter (onboarding, paywalls, landing pages, growth loops, etc). Comfortable working in a fast paced, iterative environment with lots of experimentation and learning from data. 2+ years experience in your main expertise area (frontend, backend or full stack). Skilled at delivering features end to end: from architecture and implementation through to rollout, measurement and iteration. You enjoy learning from experiments, and are as interested in what did not work as in the wins. Enthusiasm for our ways of working: Iterative development, continuous deployment and test automation. Knowledge sharing, pair programming and collaborative design. Shared ownership of code and outcomes across cross functional teams. Experience working full stack, or a strong interest in stretching across the stack. Bonus points if you have Experience with Swift or Kotlin for mobile, or Next.js for web experiences. Experience working on growth, experimentation, or funnel optimisation teams. Experience with analytics and experimentation tooling to support A/B tests. Our Tech Stack Frontend: React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect / Play Store Google Tag Manager Salary and Benefits We're offering a salary of £70,000-£78,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits is below:We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working - we typically spend 3 days a week together in our Vauxhall office ️ 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Headspace membership Money every year to spend on gear, events and the gym! Private health insurance with Bupa and workplace pension scheme Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Screening call with Talent team (30 minute video call) Getting to Know You + Live Coding (45-minute video call, first 25 mins will be an introductory chat followed by two live coding exercises from ) Take home technical task (max 1-2 hours to complete, or if you have something interesting you recently built and would like to showcase then that's perfectly OK) 1.5-hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will consist of system design and some general architecture/tech questions) Meet the team (in-person chat with founder(s) and rest of the team) Please let us know if there's anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner
About us At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'd start with high-impact, high-visibility features, then scale up to leading cross functional projects like new product launches, integrations with our external partners, and platform wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end to end challenges. You'd bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future - your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You've worked with (or learned through academic/personal projects): JavaScript (we use Angular), Python. You're eager to deepen your skillset in Front End/UX design, Linux, Docker, AWS, and SQL. You'll be a champion of our values, and encourage others to be the same. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Our tech stack Below you can find a small reflection of our current tech stack: On the frontend, we work with TypeScript, Angular 19, Tailwind CSS, Orval and Zod. On the backend, we use Python, Pydantic, FastAPI and RabbitMQ. And let's not forget Docker, Kubernetes and AWS. About our offer We're taking an office centric approach to work (with lots of flexibility built in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well being support. We're committed to supporting both physical and mental well being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
21/06/2026
Full time
About us At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'd start with high-impact, high-visibility features, then scale up to leading cross functional projects like new product launches, integrations with our external partners, and platform wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end to end challenges. You'd bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future - your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You've worked with (or learned through academic/personal projects): JavaScript (we use Angular), Python. You're eager to deepen your skillset in Front End/UX design, Linux, Docker, AWS, and SQL. You'll be a champion of our values, and encourage others to be the same. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Our tech stack Below you can find a small reflection of our current tech stack: On the frontend, we work with TypeScript, Angular 19, Tailwind CSS, Orval and Zod. On the backend, we use Python, Pydantic, FastAPI and RabbitMQ. And let's not forget Docker, Kubernetes and AWS. About our offer We're taking an office centric approach to work (with lots of flexibility built in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well being support. We're committed to supporting both physical and mental well being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Salary: £35,000 - 55,000 per year Requirements: We are looking for enthusiastic and resourceful Backend Python Engineers at mid to senior levels. Candidates should have demonstrated expertise as a Mid or Senior Software Engineer, proficiency in Python, and hands on experience with RESTful APIs and/or GraphQL. Additionally, you should be skilled in version control tools like Git and possess a sound understanding of development best practices, including pair programming and TDD. We value eagerness to engage with emerging technologies, strong abilities in software design, problem solving, and debugging, as well as a commitment to continuous code improvement and learning from peers. Responsibilities: As a key member of our backend engineering team, you will play a pivotal role in building full stack cloud applications. You will utilize Python and AWS Cloud services on the backend while adopting a server less approach to application design. Collaboration is essential, as you will work within an agile team alongside other backend engineers and product designers. Your responsibilities will include strategizing, developing, testing, and deploying new features and experiments. You will also engage in collaborative coding practices, such as pair programming and code reviews, and contribute to resolving complexities in large scale systems and extensive datasets. This role requires close collaboration with our Product, Data, Front end, Platform, and Security teams. Technologies: AWS Backend Cloud Git GraphQL Support LESS Python Security TDD More: This position initially offers a three month contract, with the potential for extension. The role is hybrid, requiring in office work one day a week in London and requiring a full time commitment of 40 hours per week. Please note that successful applicants must undergo several pre employment checks before their appointment can be confirmed, and any assignment offer will be subject to a satisfactory checking report from the Disclosure Barring Service. We celebrate and support diversity and are committed to ensuring equal opportunities for all employees and applicants. last updated 25 week of 2026
21/06/2026
Full time
Salary: £35,000 - 55,000 per year Requirements: We are looking for enthusiastic and resourceful Backend Python Engineers at mid to senior levels. Candidates should have demonstrated expertise as a Mid or Senior Software Engineer, proficiency in Python, and hands on experience with RESTful APIs and/or GraphQL. Additionally, you should be skilled in version control tools like Git and possess a sound understanding of development best practices, including pair programming and TDD. We value eagerness to engage with emerging technologies, strong abilities in software design, problem solving, and debugging, as well as a commitment to continuous code improvement and learning from peers. Responsibilities: As a key member of our backend engineering team, you will play a pivotal role in building full stack cloud applications. You will utilize Python and AWS Cloud services on the backend while adopting a server less approach to application design. Collaboration is essential, as you will work within an agile team alongside other backend engineers and product designers. Your responsibilities will include strategizing, developing, testing, and deploying new features and experiments. You will also engage in collaborative coding practices, such as pair programming and code reviews, and contribute to resolving complexities in large scale systems and extensive datasets. This role requires close collaboration with our Product, Data, Front end, Platform, and Security teams. Technologies: AWS Backend Cloud Git GraphQL Support LESS Python Security TDD More: This position initially offers a three month contract, with the potential for extension. The role is hybrid, requiring in office work one day a week in London and requiring a full time commitment of 40 hours per week. Please note that successful applicants must undergo several pre employment checks before their appointment can be confirmed, and any assignment offer will be subject to a satisfactory checking report from the Disclosure Barring Service. We celebrate and support diversity and are committed to ensuring equal opportunities for all employees and applicants. last updated 25 week of 2026
Salary: £40,000 - 70,000 per year Requirements Strong experience with C# development Experience with .NET Framework and .NET Core Experience with WinForms or desktop application development Experience with MS SQL Server Experience with refactoring and modernisation projects Experience working in agile environments Experience with CI/CD practices Testing experience, with TDD as a bonus Exposure to cloud platforms, with AWS preferred Desirable: experience migrating legacy systems Desirable: exposure to React or JavaScript Desirable: experience introducing testing, deployment improvements, or modern engineering practices into existing systems Desirable: AI exposure or Python knowledge Responsibilities Work closely with the CTO, Head of Engineering, and the original software author to understand and evolve a complex application Improve and progressively enhance an established C# .NET WinForms desktop codebase Help transition a large-scale legacy platform from an on-premise desktop environment to a modern .NET Core, cloud-based architecture Contribute to the technical direction of a major systems transformation programme Collaborate with stakeholders, challenge ideas constructively, and support knowledge sharing and planning workshops Participate in a friendly, collaborative engineering team and contribute to ongoing platform improvements Technologies .NET Framework AI AWS C# CI/CD Cloud CTO Support JavaScript Python React SQL TDD ASP.NET Frontend Web More We are a growing, technology led business based in Slough, undergoing a major systems transformation with around 40 projects in the pipeline. We offer a hybrid working model, with an initial expectation of three days a week in the office and the potential to reduce to one to two days later. You will have direct access to leadership and architecture decisions, high technical ownership, and the opportunity to shape the future of a long term transformation programme. Our team is small, collaborative, and sociable, with strong progression opportunities as our technology function grows.
21/06/2026
Full time
Salary: £40,000 - 70,000 per year Requirements Strong experience with C# development Experience with .NET Framework and .NET Core Experience with WinForms or desktop application development Experience with MS SQL Server Experience with refactoring and modernisation projects Experience working in agile environments Experience with CI/CD practices Testing experience, with TDD as a bonus Exposure to cloud platforms, with AWS preferred Desirable: experience migrating legacy systems Desirable: exposure to React or JavaScript Desirable: experience introducing testing, deployment improvements, or modern engineering practices into existing systems Desirable: AI exposure or Python knowledge Responsibilities Work closely with the CTO, Head of Engineering, and the original software author to understand and evolve a complex application Improve and progressively enhance an established C# .NET WinForms desktop codebase Help transition a large-scale legacy platform from an on-premise desktop environment to a modern .NET Core, cloud-based architecture Contribute to the technical direction of a major systems transformation programme Collaborate with stakeholders, challenge ideas constructively, and support knowledge sharing and planning workshops Participate in a friendly, collaborative engineering team and contribute to ongoing platform improvements Technologies .NET Framework AI AWS C# CI/CD Cloud CTO Support JavaScript Python React SQL TDD ASP.NET Frontend Web More We are a growing, technology led business based in Slough, undergoing a major systems transformation with around 40 projects in the pipeline. We offer a hybrid working model, with an initial expectation of three days a week in the office and the potential to reduce to one to two days later. You will have direct access to leadership and architecture decisions, high technical ownership, and the opportunity to shape the future of a long term transformation programme. Our team is small, collaborative, and sociable, with strong progression opportunities as our technology function grows.
Salary: £95,000 - 95,000 per year Requirements Strong React and TypeScript experience Frontend-strong engineer who can build products from scratch Solid backend exposure, ideally with Python Experience with databases and data platforms such as SQL and Databricks Experience building customer-facing software in a commercial environment Strong product instincts and a practical, hands on approach Comfortable with ownership, pace, and autonomy Nice to have: Energy, trading, or fintech experience Nice to have: Startup or scale up background Nice to have: Data visualisation experience Nice to have: Interest in AI tools and modern engineering practices Responsibilities Building customer-facing products from scratch using React, TypeScript, and modern frontend tooling Owning frontend quality, user experience, and engineering standards Contributing across the stack, including backend integrations, APIs, product logic, and Python-based services Working with SQL, Databricks, and related data systems Turning complex operational and commercial workflows into clear product experiences Collaborating closely with product, engineering, data, and leadership Helping shape technical standards and architecture as the team grows Technologies AI Backend Databricks Frontend Python React SQL TypeScript UX UI Design Fullstack More We are a forward thinking company in the energy market looking to hire a Senior Product Engineer, Full Stack. This role offers a competitive salary between £70,000 and £95,000 and is based in Mayfair, London, with a hybrid setup of 2 to 3 days per week in the office. Joining our growing team means having high ownership from day one, with the chance to build frontend products from scratch and make a visible impact. We value collaboration and aim to create a supportive environment where you can develop your skills and grow with the company.
21/06/2026
Full time
Salary: £95,000 - 95,000 per year Requirements Strong React and TypeScript experience Frontend-strong engineer who can build products from scratch Solid backend exposure, ideally with Python Experience with databases and data platforms such as SQL and Databricks Experience building customer-facing software in a commercial environment Strong product instincts and a practical, hands on approach Comfortable with ownership, pace, and autonomy Nice to have: Energy, trading, or fintech experience Nice to have: Startup or scale up background Nice to have: Data visualisation experience Nice to have: Interest in AI tools and modern engineering practices Responsibilities Building customer-facing products from scratch using React, TypeScript, and modern frontend tooling Owning frontend quality, user experience, and engineering standards Contributing across the stack, including backend integrations, APIs, product logic, and Python-based services Working with SQL, Databricks, and related data systems Turning complex operational and commercial workflows into clear product experiences Collaborating closely with product, engineering, data, and leadership Helping shape technical standards and architecture as the team grows Technologies AI Backend Databricks Frontend Python React SQL TypeScript UX UI Design Fullstack More We are a forward thinking company in the energy market looking to hire a Senior Product Engineer, Full Stack. This role offers a competitive salary between £70,000 and £95,000 and is based in Mayfair, London, with a hybrid setup of 2 to 3 days per week in the office. Joining our growing team means having high ownership from day one, with the chance to build frontend products from scratch and make a visible impact. We value collaboration and aim to create a supportive environment where you can develop your skills and grow with the company.
Salary: £80,000 - 80,000 per year Requirements We require a BSc or BEng in Electronics, Computer Science, Software Engineering, or a similar relevant subject. We require extensive post-graduate experience in software and firmware engineering. We require proven experience in a functional leadership or technical lead role, including project delivery and mentoring engineers. We require demonstrated experience delivering complex, cross-functional embedded software projects. We require strong commercial experience developing bare-metal embedded firmware in C, including direct interaction with MCU peripherals, registers, interrupts, memory, and hardware interfaces. We require hands-on experience developing and debugging low-level embedded drivers and firmware on microcontroller-based platforms. We require proven experience integrating firmware with hardware, diagnosing hardware/software issues, and working with datasheets, schematics, and debugging tools. We require the ability to interpret hardware specifications, datasheets, and system requirements to support firmware development and product integration. We value experience with Python, MATLAB, or LabVIEW. We value knowledge of Digital Signal Processing or image processing. We value familiarity with test-driven development and behaviour-driven development. We value experience with defect tracking and task management tools. Responsibilities We lead end-to-end development of embedded software and capacitive sensing algorithms. We define and drive software architecture and firmware design decisions. We manage project delivery, ensuring timelines, quality, and customer expectations are met. We mentor and support junior and mid-level engineers. We facilitate Agile and SCRUM processes, including sprint planning and retrospectives. We collaborate with cross-functional teams including IC design, hardware, and applications. We identify and manage technical risks, dependencies, and trade-offs. We act as a technical interface with customers, supporting system integration. We develop firmware using Embedded C and Assembler. We perform model-based design using Python, MATLAB, or similar tools. We design, simulate, and optimise touch sensing and signal processing algorithms. We develop and debug low-level drivers for MCU peripherals. We support integration with customer hardware and operating systems. We work within a continuous delivery environment for consumer electronics. Technologies AI Embedded Firmware Hardware Support Matlab Python C++ TDD More We are a fast-growing, innovative organisation based in Whiteley, Fareham, at the forefront of semiconductor technology, embedded systems, and capacitive touch solutions. This is an exciting opportunity to join our collaborative, fast-paced engineering environment and take on a technical leadership role in embedded software engineering. We offer hybrid working with modern office facilities, private healthcare, mental health and wellbeing support programmes, and opportunities to work on cutting-edge embedded and touch technologies. We also provide a culture that encourages innovation, learning, and professional growth, with the chance to help shape products that push the boundaries of touch technology, AI data processing, and connected devices.
21/06/2026
Full time
Salary: £80,000 - 80,000 per year Requirements We require a BSc or BEng in Electronics, Computer Science, Software Engineering, or a similar relevant subject. We require extensive post-graduate experience in software and firmware engineering. We require proven experience in a functional leadership or technical lead role, including project delivery and mentoring engineers. We require demonstrated experience delivering complex, cross-functional embedded software projects. We require strong commercial experience developing bare-metal embedded firmware in C, including direct interaction with MCU peripherals, registers, interrupts, memory, and hardware interfaces. We require hands-on experience developing and debugging low-level embedded drivers and firmware on microcontroller-based platforms. We require proven experience integrating firmware with hardware, diagnosing hardware/software issues, and working with datasheets, schematics, and debugging tools. We require the ability to interpret hardware specifications, datasheets, and system requirements to support firmware development and product integration. We value experience with Python, MATLAB, or LabVIEW. We value knowledge of Digital Signal Processing or image processing. We value familiarity with test-driven development and behaviour-driven development. We value experience with defect tracking and task management tools. Responsibilities We lead end-to-end development of embedded software and capacitive sensing algorithms. We define and drive software architecture and firmware design decisions. We manage project delivery, ensuring timelines, quality, and customer expectations are met. We mentor and support junior and mid-level engineers. We facilitate Agile and SCRUM processes, including sprint planning and retrospectives. We collaborate with cross-functional teams including IC design, hardware, and applications. We identify and manage technical risks, dependencies, and trade-offs. We act as a technical interface with customers, supporting system integration. We develop firmware using Embedded C and Assembler. We perform model-based design using Python, MATLAB, or similar tools. We design, simulate, and optimise touch sensing and signal processing algorithms. We develop and debug low-level drivers for MCU peripherals. We support integration with customer hardware and operating systems. We work within a continuous delivery environment for consumer electronics. Technologies AI Embedded Firmware Hardware Support Matlab Python C++ TDD More We are a fast-growing, innovative organisation based in Whiteley, Fareham, at the forefront of semiconductor technology, embedded systems, and capacitive touch solutions. This is an exciting opportunity to join our collaborative, fast-paced engineering environment and take on a technical leadership role in embedded software engineering. We offer hybrid working with modern office facilities, private healthcare, mental health and wellbeing support programmes, and opportunities to work on cutting-edge embedded and touch technologies. We also provide a culture that encourages innovation, learning, and professional growth, with the chance to help shape products that push the boundaries of touch technology, AI data processing, and connected devices.
About the role As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology. At Applied Intuition, you will: Prototype, evaluate, refine, and deploy state of the art ML algorithms and solutions for defense use cases Leverage established products at Applied Intuition to build the software and infra foundation for behavior specific ML development. Tightly collaborate with perception and planning engineers on many cross team initiatives Work closely with product managers to understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We're looking for someone who has: Experience developing autonomous vehicle solutions for aerospace and defense Experience with the end to end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 5+ years of experience building production software using modern software practices Fluency in C++, or fluency in Python with intermediate experience in C++ References who will describe them as low ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Travel requirements: General willingness to travel for company business between our offices, as well as to customer sites Must have ability to hold UK Security Clearance (current or previous preferred) Nice to have: Publications in computer vision, NLP, or robotics. Experience with drones and flight computers such as PX4. Experience in evaluating and improving system in the loop model performance. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
21/06/2026
Full time
About the role As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology. At Applied Intuition, you will: Prototype, evaluate, refine, and deploy state of the art ML algorithms and solutions for defense use cases Leverage established products at Applied Intuition to build the software and infra foundation for behavior specific ML development. Tightly collaborate with perception and planning engineers on many cross team initiatives Work closely with product managers to understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We're looking for someone who has: Experience developing autonomous vehicle solutions for aerospace and defense Experience with the end to end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 5+ years of experience building production software using modern software practices Fluency in C++, or fluency in Python with intermediate experience in C++ References who will describe them as low ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Travel requirements: General willingness to travel for company business between our offices, as well as to customer sites Must have ability to hold UK Security Clearance (current or previous preferred) Nice to have: Publications in computer vision, NLP, or robotics. Experience with drones and flight computers such as PX4. Experience in evaluating and improving system in the loop model performance. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Senior Director Software Solutions, Data and AnalyticsSkip to main contentWe use cookies to provide website functionality, to analyze our traffic, to personalize content and to enable social media functionality. This includes cookies which are set by third parties which allow us to execute marketing campaigns and manage our relationship with you. For further information, please see our Cookie Policy. Director Software Solutions, Data and Analytics page is loaded Senior Director Software Solutions, Data and AnalyticsApplyremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR260NK-TEE Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.Are you ready to make your impact? About The Role The Software Solutions team is a high-velocity team that delivers bespoke data-driven solutions to our clients across the business spectrum. As experts in custom web application development, the D&A Software Solutions team delivers tech-enabled solutions in engagements spanning corporate strategy, litigation, investigations, disputes, compliance, regulatory support, financial crime, fraud, and performance improvement. The team employs a range of modern open source and cloud technologies to design, build, and deliver solutions.This specialized team creates scalable and feature-rich web applications using a continuously evolving toolkit. Recent solutions have integrated with bespoke AI models, shipped using containerization, and leveraged technologies such as Angular, React, NestJS, TypeScript, Python, Django, Laravel and a wide range of AWS and cloud services. You will have a direct impact on driving innovation by promoting and selecting technologies to meet ever-changing client needs and evolving industry trends. What You'll Do In this role you will develop in-depth knowledge of your clients' objectives and challenges in order to design and implement innovative strategies to assist them through their current difficulties and prepare them for the future. Responsibilities will include, but will not be limited to, the following: Raise awareness in the EMEA region of D&A Software Solutions' capabilities and service lines through networking and demonstrations to internal partners and clients Designing, creating, and implementing client-centric web applications Leading software projects and collaborate daily with fellow software engineers, managers and stakeholders Conducting peer code reviews, triaging flaws & promoting updates to production Playing an active role in mentoring junior members of the team Acting as an evangelist to promote best practice and sharing knowledge both internally and externally Analyzing, programming, and testing complex modules (both new and changes to existing programs) from design specifications Learning existing applications and designing new tools to improve processes Identifying the relationships among multiple sources and types of data and organizing this information to facilitate effective data analysis How You'll Grow We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role. What You Will Need to Succeed Strong communication skills and ability to represent D&A Software Solutions in cross-segment discussions with leadership, marketing, internal partners, and clients. Able to adapt quickly in handling multiple evolving tasks as a result of new engagements and/or re-prioritized deadlines Able to work on a team as well as independently Ability to travel to FTI office(s) and client site(s) as needed Highly motivated, hard-working, eager to learn, and able to motivate others Able to regularly communicate status to both internal and external clientsBasic Qualifications Bachelor's degree in computer science or related discipline; or equivalent combination of education and work experience Several years of Web Application development Experience leading software teams Experience leading Agile ceremoniesPreferred Qualifications Familiarity with software development technologies including backend frameworks, frontend frameworks, RESTFul APIs, OOP, version control, automated testing, relational databases, programming, web servers and web development Competency in IAM principles, SAML, Single Sign-On, authentication and authorization techniques Able to produce high quality and/or final work product under strict deadlines Flexibility to provide night and weekend coverage when requested FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
21/06/2026
Full time
Senior Director Software Solutions, Data and AnalyticsSkip to main contentWe use cookies to provide website functionality, to analyze our traffic, to personalize content and to enable social media functionality. This includes cookies which are set by third parties which allow us to execute marketing campaigns and manage our relationship with you. For further information, please see our Cookie Policy. Director Software Solutions, Data and Analytics page is loaded Senior Director Software Solutions, Data and AnalyticsApplyremote type: Hybridlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR260NK-TEE Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.Are you ready to make your impact? About The Role The Software Solutions team is a high-velocity team that delivers bespoke data-driven solutions to our clients across the business spectrum. As experts in custom web application development, the D&A Software Solutions team delivers tech-enabled solutions in engagements spanning corporate strategy, litigation, investigations, disputes, compliance, regulatory support, financial crime, fraud, and performance improvement. The team employs a range of modern open source and cloud technologies to design, build, and deliver solutions.This specialized team creates scalable and feature-rich web applications using a continuously evolving toolkit. Recent solutions have integrated with bespoke AI models, shipped using containerization, and leveraged technologies such as Angular, React, NestJS, TypeScript, Python, Django, Laravel and a wide range of AWS and cloud services. You will have a direct impact on driving innovation by promoting and selecting technologies to meet ever-changing client needs and evolving industry trends. What You'll Do In this role you will develop in-depth knowledge of your clients' objectives and challenges in order to design and implement innovative strategies to assist them through their current difficulties and prepare them for the future. Responsibilities will include, but will not be limited to, the following: Raise awareness in the EMEA region of D&A Software Solutions' capabilities and service lines through networking and demonstrations to internal partners and clients Designing, creating, and implementing client-centric web applications Leading software projects and collaborate daily with fellow software engineers, managers and stakeholders Conducting peer code reviews, triaging flaws & promoting updates to production Playing an active role in mentoring junior members of the team Acting as an evangelist to promote best practice and sharing knowledge both internally and externally Analyzing, programming, and testing complex modules (both new and changes to existing programs) from design specifications Learning existing applications and designing new tools to improve processes Identifying the relationships among multiple sources and types of data and organizing this information to facilitate effective data analysis How You'll Grow We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role. What You Will Need to Succeed Strong communication skills and ability to represent D&A Software Solutions in cross-segment discussions with leadership, marketing, internal partners, and clients. Able to adapt quickly in handling multiple evolving tasks as a result of new engagements and/or re-prioritized deadlines Able to work on a team as well as independently Ability to travel to FTI office(s) and client site(s) as needed Highly motivated, hard-working, eager to learn, and able to motivate others Able to regularly communicate status to both internal and external clientsBasic Qualifications Bachelor's degree in computer science or related discipline; or equivalent combination of education and work experience Several years of Web Application development Experience leading software teams Experience leading Agile ceremoniesPreferred Qualifications Familiarity with software development technologies including backend frameworks, frontend frameworks, RESTFul APIs, OOP, version control, automated testing, relational databases, programming, web servers and web development Competency in IAM principles, SAML, Single Sign-On, authentication and authorization techniques Able to produce high quality and/or final work product under strict deadlines Flexibility to provide night and weekend coverage when requested FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.