IMMEDIATE START REQUIRED We are currently seeking an experienced and proactive Estates Coordinator to provide urgent temporary support within a busy Estates department in the Solihull area. This is a fast-paced role requiring someone who can hit the ground running from day one. Due to the urgent nature of the assignment, this position is best suited to someone with existing estates or facilities experience who can work independently with minimal training or supervision. An Enhanced DBS is required for this role. Key Responsibilities Managing and coordinating Help Desk job requests, including logging, processing, tracking progress, and updating records Supporting Planned Preventative Maintenance (PPM) activities and contractor coordination Liaising with external contractors to arrange maintenance and general works visits Reviewing, updating, and maintaining estates documentation and essential records Updating and organising files within SharePoint and other online systems Providing general estates administration and support to internal stakeholders Assisting the wider Estates team with day-to-day operational support Candidate Requirements Previous experience within an estates, facilities, or maintenance environment is essential Experience within an educational setting would be advantageous, although applicants from other sectors with strong estates knowledge are encouraged to apply Strong IT skills, including confidence using Office 365, Teams, helpdesk systems, SharePoint, and online platforms Ability to work effectively in a reactive, fast-moving environment Confident communicating with contractors, colleagues, and stakeholders Strong organisational and customer service skills Able to absorb information quickly and work proactively with minimal guidance
28/05/2026
Full time
IMMEDIATE START REQUIRED We are currently seeking an experienced and proactive Estates Coordinator to provide urgent temporary support within a busy Estates department in the Solihull area. This is a fast-paced role requiring someone who can hit the ground running from day one. Due to the urgent nature of the assignment, this position is best suited to someone with existing estates or facilities experience who can work independently with minimal training or supervision. An Enhanced DBS is required for this role. Key Responsibilities Managing and coordinating Help Desk job requests, including logging, processing, tracking progress, and updating records Supporting Planned Preventative Maintenance (PPM) activities and contractor coordination Liaising with external contractors to arrange maintenance and general works visits Reviewing, updating, and maintaining estates documentation and essential records Updating and organising files within SharePoint and other online systems Providing general estates administration and support to internal stakeholders Assisting the wider Estates team with day-to-day operational support Candidate Requirements Previous experience within an estates, facilities, or maintenance environment is essential Experience within an educational setting would be advantageous, although applicants from other sectors with strong estates knowledge are encouraged to apply Strong IT skills, including confidence using Office 365, Teams, helpdesk systems, SharePoint, and online platforms Ability to work effectively in a reactive, fast-moving environment Confident communicating with contractors, colleagues, and stakeholders Strong organisational and customer service skills Able to absorb information quickly and work proactively with minimal guidance
Compensation Analyst Department: HR Operations Employment Type: Full Time Location: Horsham Reporting To: Kim Goddard Description You will own compensation insight and cost control across the business. You will track and manage pay against budgets, provide clear analysis to senior stakeholders, and embed market data into hiring and reward decisions. This is a hands on role. You will work with complex datasets, influence senior decisions, and bring structure and discipline to compensation activity across Benchmark. What you'll do Compensation cost and budget management Track salary, bonus and equity costs against approved budgets Monitor risks, variances and emerging pressures, with clear recommendations Work closely with Finance to align forecasting, reporting and planning Analysis and reporting Build and maintain compensation models for forecasting and scenario planning Produce clear, decision ready insight for ExCo and senior leadership Analyse large datasets accurately and efficiently Annual and in year pay activity Support annual compensation reviews and out of cycle changes Track budget usage and adherence to frameworks Maintain clear, audit ready documentation Benchmarking and market data Own benchmarking across job families and roles Translate market data into practical pay guidance Manage relationships with external data providers Hiring and Talent Acquisition support Provide pay guidance into hiring and offer decisions Support benchmarking for new and replacement roles Drive consistency and budget discipline across hiring Advisory and stakeholder support Partner with HRBPs and leadership on pay decisions Provide clear, evidence based compensation advice Simplify complex data for non technical audiences Share plans and equity Support equity and share plan administration Track participation, costs and reporting requirements Acquisitions and integration Support compensation analysis for acquisitions Provide input into due diligence and integration decisions Assess pay structures, schemes and alignment Governance, risk and equity Identify and analyse pay risks and inconsistencies Support pay equity and risk reviews Maintain controls aligned to governance requirements, including SM&CR principles The knowledge, experience and qualifications you need Experience in compensation, reward, or analytics roles Strong experience managing compensation budgets or cost envelopes Advanced Excel skills, including modelling and data analysis Confidence working with large datasets and complex reports Experience presenting insight to senior stakeholders Desirable Experience with share or equity programmes Experience supporting annual pay reviews Exposure to external market data providers Financial services or regulated environment experience The base You'll be based at the Benchmark Head Office, within our Broadlands Business Campus near Horsham in West Sussex but will need to be present across our other offices, including the main Schroders headquarters in London. It has high standards and international reputation, without being in the city: a big, countryside campus means life will feel a little different. We support our offices by using cutting edge software and hardware and our spacious campus facilities mean there's a great working environment for the team. With an on site restaurant, coffee shop and gym, our campus has much to offer. And commuters can relax on our dedicated regular shuttle bus to and from Horsham's main line train station.
28/05/2026
Full time
Compensation Analyst Department: HR Operations Employment Type: Full Time Location: Horsham Reporting To: Kim Goddard Description You will own compensation insight and cost control across the business. You will track and manage pay against budgets, provide clear analysis to senior stakeholders, and embed market data into hiring and reward decisions. This is a hands on role. You will work with complex datasets, influence senior decisions, and bring structure and discipline to compensation activity across Benchmark. What you'll do Compensation cost and budget management Track salary, bonus and equity costs against approved budgets Monitor risks, variances and emerging pressures, with clear recommendations Work closely with Finance to align forecasting, reporting and planning Analysis and reporting Build and maintain compensation models for forecasting and scenario planning Produce clear, decision ready insight for ExCo and senior leadership Analyse large datasets accurately and efficiently Annual and in year pay activity Support annual compensation reviews and out of cycle changes Track budget usage and adherence to frameworks Maintain clear, audit ready documentation Benchmarking and market data Own benchmarking across job families and roles Translate market data into practical pay guidance Manage relationships with external data providers Hiring and Talent Acquisition support Provide pay guidance into hiring and offer decisions Support benchmarking for new and replacement roles Drive consistency and budget discipline across hiring Advisory and stakeholder support Partner with HRBPs and leadership on pay decisions Provide clear, evidence based compensation advice Simplify complex data for non technical audiences Share plans and equity Support equity and share plan administration Track participation, costs and reporting requirements Acquisitions and integration Support compensation analysis for acquisitions Provide input into due diligence and integration decisions Assess pay structures, schemes and alignment Governance, risk and equity Identify and analyse pay risks and inconsistencies Support pay equity and risk reviews Maintain controls aligned to governance requirements, including SM&CR principles The knowledge, experience and qualifications you need Experience in compensation, reward, or analytics roles Strong experience managing compensation budgets or cost envelopes Advanced Excel skills, including modelling and data analysis Confidence working with large datasets and complex reports Experience presenting insight to senior stakeholders Desirable Experience with share or equity programmes Experience supporting annual pay reviews Exposure to external market data providers Financial services or regulated environment experience The base You'll be based at the Benchmark Head Office, within our Broadlands Business Campus near Horsham in West Sussex but will need to be present across our other offices, including the main Schroders headquarters in London. It has high standards and international reputation, without being in the city: a big, countryside campus means life will feel a little different. We support our offices by using cutting edge software and hardware and our spacious campus facilities mean there's a great working environment for the team. With an on site restaurant, coffee shop and gym, our campus has much to offer. And commuters can relax on our dedicated regular shuttle bus to and from Horsham's main line train station.
Audio Visual Business Development Manager Brief Overview of Role: My client is a rapidly expanding Audio-Visual integrator, and they are looking for an experienced AV sales professional to work from their IP20 offices Responsible for scoping, selling & preparing audio visual and collaborative solutions under the guidance of the Regional Sales Manager, target-driven and accountable click apply for full job details
28/05/2026
Full time
Audio Visual Business Development Manager Brief Overview of Role: My client is a rapidly expanding Audio-Visual integrator, and they are looking for an experienced AV sales professional to work from their IP20 offices Responsible for scoping, selling & preparing audio visual and collaborative solutions under the guidance of the Regional Sales Manager, target-driven and accountable click apply for full job details
Job Search Place Limited
Cambridge, Cambridgeshire
Outline Toshiba Europe Limited has been at the forefront of quantum communication for over a decade, pioneering technologies that set new standards in cryptography and data security. Our research underpins deployed Quantum Key Distribution (QKD) systems and continues to drive innovation in next generation quantum secure networking. This includes the development of new advanced protocols such as Twin Field QKD and entanglement based approaches, pushing the boundaries of what is possible in quantum secure communications. We invite applications for the post of Research Scientist in the Quantum Information Group of the Cambridge Research Laboratory of Toshiba. The successful applicant will take responsibility for developing implementation aware security proofs for quantum cryptography systems, helping ensure that theoretical guarantees remain robust when real device behaviour and system level constraints are accounted for. This is an opportunity to join a dynamic and world leading team, supported by one of the best known companies in digital electronics and services, in which you will collaborate closely with experimentalists, and system designers, contributing theoretical insight to modelling, system architecture, and protocol development. Key Responsibilities Security & Protocol Theory Develop and refine finite size discrete variable QKD security proofs. Incorporate experimentally characterised device behaviour into theoretical models. Analyse existing QKD protocols and propose improvements to performance and security. Modelling & Simulation Use and extend QKD simulators to evaluate protocol performance under realistic conditions. Integrate experimental datasets to validate assumptions and improve modelling accuracy. Provide modelling driven input to system engineering decisions. Collaboration & Contribution Work closely with experimental and systems teams to ensure theoretical models and security assumptions reflect practical implementation details. Contribute to joint research activities with academic and industrial partners. Write internal reports, co author scientific publications, and present work at conferences when appropriate. Contribute to efforts to develop global standards for quantum technologies. Skills & Experience (Essential) PhD in Physics, Electronic Engineering, Mathematics, or a related field. Familiarity with finite size discrete variable QKD security proof techniques. Experience using QKD simulators to model protocol and system behaviour. Understanding of experimental QKD concepts and optical/photonic device behaviour. Evidence of research excellence through publications or equivalent results. Ability to work effectively in a collaborative research environment. Desirable Experience Experience working with data from optical or QKD systems. Participation in collaborative research projects or standards related work.
28/05/2026
Full time
Outline Toshiba Europe Limited has been at the forefront of quantum communication for over a decade, pioneering technologies that set new standards in cryptography and data security. Our research underpins deployed Quantum Key Distribution (QKD) systems and continues to drive innovation in next generation quantum secure networking. This includes the development of new advanced protocols such as Twin Field QKD and entanglement based approaches, pushing the boundaries of what is possible in quantum secure communications. We invite applications for the post of Research Scientist in the Quantum Information Group of the Cambridge Research Laboratory of Toshiba. The successful applicant will take responsibility for developing implementation aware security proofs for quantum cryptography systems, helping ensure that theoretical guarantees remain robust when real device behaviour and system level constraints are accounted for. This is an opportunity to join a dynamic and world leading team, supported by one of the best known companies in digital electronics and services, in which you will collaborate closely with experimentalists, and system designers, contributing theoretical insight to modelling, system architecture, and protocol development. Key Responsibilities Security & Protocol Theory Develop and refine finite size discrete variable QKD security proofs. Incorporate experimentally characterised device behaviour into theoretical models. Analyse existing QKD protocols and propose improvements to performance and security. Modelling & Simulation Use and extend QKD simulators to evaluate protocol performance under realistic conditions. Integrate experimental datasets to validate assumptions and improve modelling accuracy. Provide modelling driven input to system engineering decisions. Collaboration & Contribution Work closely with experimental and systems teams to ensure theoretical models and security assumptions reflect practical implementation details. Contribute to joint research activities with academic and industrial partners. Write internal reports, co author scientific publications, and present work at conferences when appropriate. Contribute to efforts to develop global standards for quantum technologies. Skills & Experience (Essential) PhD in Physics, Electronic Engineering, Mathematics, or a related field. Familiarity with finite size discrete variable QKD security proof techniques. Experience using QKD simulators to model protocol and system behaviour. Understanding of experimental QKD concepts and optical/photonic device behaviour. Evidence of research excellence through publications or equivalent results. Ability to work effectively in a collaborative research environment. Desirable Experience Experience working with data from optical or QKD systems. Participation in collaborative research projects or standards related work.
Job Search Place Limited
Easter Howgate, Midlothian
THE POSITION We're looking for a Senior Software Engineer to join our Sportsbook Core Apps engineering team. You'll be working on foundational engineering, focusing on improving the underlying frameworks, tooling, and performance that enable FanDuel to deliver an exciting and innovative customer experience. Working with our React Native Sportsbook application, you'll enhance the core React Native platform and shared codebase to improve performance, scalability, reliability, and developer experience. You'll collaborate closely with engineers across the org to ensure the React Native stack integrates cleanly with native layers and enables feature teams to deliver safely and quickly. We're looking for skilled engineers who are empathetic communicators with a commitment to continuous improvement and engineering excellence. The ideal candidate has significant experience delivering production React Native applications, can propose pragmatic solutions to performance and platform challenges, and enjoys mentoring others and raising quality standards. As a member of this team, you will strengthen the foundations of our mobile platform, enabling FanDuel engineers to deliver features more effectively while maintaining platform quality and best practices. We are a growth company so there are plenty of opportunities for you to learn & grow with us. Responsibilities Enhancing the core React Native codebase for the Sportsbook app, focusing on performance, scalability, and maintainability Profiling and optimising app startup and runtime performance across the React Native stack (rendering, bundle size, memory, JS/native thread work, etc.) Building and maintaining shared frameworks, tooling, libraries, and components that support feature teams Improving developer experience through better tooling, documentation, templates, CI reliability, and build performance Contributing to technical design discussions and leading multi-phase improvements, breaking work into incremental, testable deliveries aligned with team priorities Supporting continuous improvement initiatives that raise quality, reduce toil, and improve operational readiness within the domain Joining our on-call rota, sharing out of hours support duties as part of our incident response process Qualifications Significant experience delivering production React Native applications (OR strong React skills with interest in mobile development) Strong TypeScript skills and a solid understanding of React patterns, architecture, and maintainable code practices at scale Practical experience profiling and improving performance in React Native applications (startup time, rendering, responsiveness, memory, etc.) Experience with React Native native modules / bridging; native Android (Kotlin/Java) and/or iOS (Swift) experience is a plus Familiarity with mobile development best practices, testing strategies, and CI/CD pipelines Experience working in Agile teams and contributing to collaborative technical standards A quality-focused mindset with strong problem-solving skills and the ability to evaluate trade-offs in ambiguous situations Additional Expectations Contribute meaningfully to technical design discussions and propose pragmatic solutions aligned with our technical vision Take ownership of delivering platform improvements end to end, including measurement, rollout, and iteration Mentor and support other engineers, raising the bar through thoughtful reviews, coaching, and knowledge-sharing Participate in wider engineering community initiatives and help spread best practices Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email . The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
28/05/2026
Full time
THE POSITION We're looking for a Senior Software Engineer to join our Sportsbook Core Apps engineering team. You'll be working on foundational engineering, focusing on improving the underlying frameworks, tooling, and performance that enable FanDuel to deliver an exciting and innovative customer experience. Working with our React Native Sportsbook application, you'll enhance the core React Native platform and shared codebase to improve performance, scalability, reliability, and developer experience. You'll collaborate closely with engineers across the org to ensure the React Native stack integrates cleanly with native layers and enables feature teams to deliver safely and quickly. We're looking for skilled engineers who are empathetic communicators with a commitment to continuous improvement and engineering excellence. The ideal candidate has significant experience delivering production React Native applications, can propose pragmatic solutions to performance and platform challenges, and enjoys mentoring others and raising quality standards. As a member of this team, you will strengthen the foundations of our mobile platform, enabling FanDuel engineers to deliver features more effectively while maintaining platform quality and best practices. We are a growth company so there are plenty of opportunities for you to learn & grow with us. Responsibilities Enhancing the core React Native codebase for the Sportsbook app, focusing on performance, scalability, and maintainability Profiling and optimising app startup and runtime performance across the React Native stack (rendering, bundle size, memory, JS/native thread work, etc.) Building and maintaining shared frameworks, tooling, libraries, and components that support feature teams Improving developer experience through better tooling, documentation, templates, CI reliability, and build performance Contributing to technical design discussions and leading multi-phase improvements, breaking work into incremental, testable deliveries aligned with team priorities Supporting continuous improvement initiatives that raise quality, reduce toil, and improve operational readiness within the domain Joining our on-call rota, sharing out of hours support duties as part of our incident response process Qualifications Significant experience delivering production React Native applications (OR strong React skills with interest in mobile development) Strong TypeScript skills and a solid understanding of React patterns, architecture, and maintainable code practices at scale Practical experience profiling and improving performance in React Native applications (startup time, rendering, responsiveness, memory, etc.) Experience with React Native native modules / bridging; native Android (Kotlin/Java) and/or iOS (Swift) experience is a plus Familiarity with mobile development best practices, testing strategies, and CI/CD pipelines Experience working in Agile teams and contributing to collaborative technical standards A quality-focused mindset with strong problem-solving skills and the ability to evaluate trade-offs in ambiguous situations Additional Expectations Contribute meaningfully to technical design discussions and propose pragmatic solutions aligned with our technical vision Take ownership of delivering platform improvements end to end, including measurement, rollout, and iteration Mentor and support other engineers, raising the bar through thoughtful reviews, coaching, and knowledge-sharing Participate in wider engineering community initiatives and help spread best practices Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email . The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You'll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect. We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns. If you're passionate about turning complex problems into simple, elegant solutions, this role is for you. You'll have a meaningful opportunity to shape our engineering culture from the ground up. What you'll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation and pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices What you bring You are an effective and self-driven builder 3+ years of experience as a machine learning/AI engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor's or Master's degree in Computer Science or a related field Excellent communication skills and ability to work collaboratively in a fast-moving environment Our Offer Tackle meaningful problems with real-world impact Competitive salary and equity package Join us onsite in our offices in London or Porto Flat hierarchy with direct access to founding team Top-of-the-line equipment Private health insurance, plus sick and compassionate leave as needed About us Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
28/05/2026
Full time
Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You'll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect. We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns. If you're passionate about turning complex problems into simple, elegant solutions, this role is for you. You'll have a meaningful opportunity to shape our engineering culture from the ground up. What you'll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation and pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices What you bring You are an effective and self-driven builder 3+ years of experience as a machine learning/AI engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor's or Master's degree in Computer Science or a related field Excellent communication skills and ability to work collaboratively in a fast-moving environment Our Offer Tackle meaningful problems with real-world impact Competitive salary and equity package Join us onsite in our offices in London or Porto Flat hierarchy with direct access to founding team Top-of-the-line equipment Private health insurance, plus sick and compassionate leave as needed About us Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You'll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect. We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns. If you're passionate about turning complex problems into simple, elegant solutions, this role is for you. You'll have a meaningful opportunity to shape our engineering culture from the ground up. What you'll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation and pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices What you bring You are an effective and self-driven builder 3+ years of experience as a machine learning/AI engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor's or Master's degree in Computer Science or a related field Excellent communication skills and ability to work collaboratively in a fast-moving environment Our Offer Tackle meaningful problems with real-world impact Competitive salary and equity package Join us onsite in our offices in London or Porto Flat hierarchy with direct access to founding team Top-of-the-line equipment Private health insurance, plus sick and compassionate leave as needed About us Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
28/05/2026
Full time
Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You'll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect. We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns. If you're passionate about turning complex problems into simple, elegant solutions, this role is for you. You'll have a meaningful opportunity to shape our engineering culture from the ground up. What you'll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation and pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices What you bring You are an effective and self-driven builder 3+ years of experience as a machine learning/AI engineer in product-centric settings Experience in production-level Python Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI) Strong understanding of modern AI tools and approaches Bachelor's or Master's degree in Computer Science or a related field Excellent communication skills and ability to work collaboratively in a fast-moving environment Our Offer Tackle meaningful problems with real-world impact Competitive salary and equity package Join us onsite in our offices in London or Porto Flat hierarchy with direct access to founding team Top-of-the-line equipment Private health insurance, plus sick and compassionate leave as needed About us Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
Senior Software Engineer Our client. a fast-growing technology company is seeking a Senior Software Engineer to help architect and build a next-generation real-time platform from the ground up. Working closely with a small senior engineering team, you will design and deliver scalable backend systems, cloud infrastructure and distributed architectures capable of supporting high-concurrency real-time experiences. This is a hands on role with significant influence over technical direction, infrastructure design and platform foundations. Key Responsibilities Design and build scalable backend services and cloud infrastructure Architect event-driven and distributed systems on AWS Develop APIs, microservices and internal tooling Improve reliability, observability and developer workflows Conduct load testing and performance optimisation Contribute to frontend applications where required About You You are a senior engineer with deep backend and cloud experience gained from operating production systems at scale. Key Skills & Experience Strong Node.js and TypeScript expertise Deep AWS knowledge across networking, IAM, compute and distributed systems Experience with event-driven architectures and high-concurrency systems Infrastructure as Code experience (Pulumi, Terraform or similar) Strong understanding of databases, caching and performance optimisation Experience with observability, monitoring and alerting Comfortable working across the stack when required Strong Linux, Docker and Git knowledge Not the Right Fit If Your experience is primarily frontend-focused You have limited hands-on AWS architecture experience You prefer highly structured environments and predefined processes Benefits Flexible working Excellent Career Progression Healthcare
28/05/2026
Full time
Senior Software Engineer Our client. a fast-growing technology company is seeking a Senior Software Engineer to help architect and build a next-generation real-time platform from the ground up. Working closely with a small senior engineering team, you will design and deliver scalable backend systems, cloud infrastructure and distributed architectures capable of supporting high-concurrency real-time experiences. This is a hands on role with significant influence over technical direction, infrastructure design and platform foundations. Key Responsibilities Design and build scalable backend services and cloud infrastructure Architect event-driven and distributed systems on AWS Develop APIs, microservices and internal tooling Improve reliability, observability and developer workflows Conduct load testing and performance optimisation Contribute to frontend applications where required About You You are a senior engineer with deep backend and cloud experience gained from operating production systems at scale. Key Skills & Experience Strong Node.js and TypeScript expertise Deep AWS knowledge across networking, IAM, compute and distributed systems Experience with event-driven architectures and high-concurrency systems Infrastructure as Code experience (Pulumi, Terraform or similar) Strong understanding of databases, caching and performance optimisation Experience with observability, monitoring and alerting Comfortable working across the stack when required Strong Linux, Docker and Git knowledge Not the Right Fit If Your experience is primarily frontend-focused You have limited hands-on AWS architecture experience You prefer highly structured environments and predefined processes Benefits Flexible working Excellent Career Progression Healthcare
Let's begin! Associate Director - Data Analyst (13153) Skills and Competencies 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g.Microsoft Power BI, Tableau, or Alteryx) Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience). Responsibilities Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners. Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security) Support reporting development by validating source-to-report logic (including Structured Query Language (SQL and partnering on dashboard/report builds in Power BI Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance Work independently while coordinating across teams About the Team The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
28/05/2026
Full time
Let's begin! Associate Director - Data Analyst (13153) Skills and Competencies 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g.Microsoft Power BI, Tableau, or Alteryx) Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience). Responsibilities Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners. Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security) Support reporting development by validating source-to-report logic (including Structured Query Language (SQL and partnering on dashboard/report builds in Power BI Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance Work independently while coordinating across teams About the Team The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Let's begin! Associate Director - Data Analyst (13153) Skills and Competencies 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g.Microsoft Power BI, Tableau, or Alteryx) Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience). Responsibilities Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners. Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security) Support reporting development by validating source-to-report logic (including Structured Query Language (SQL and partnering on dashboard/report builds in Power BI Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance Work independently while coordinating across teams About the Team The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
28/05/2026
Full time
Let's begin! Associate Director - Data Analyst (13153) Skills and Competencies 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g.Microsoft Power BI, Tableau, or Alteryx) Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience). Responsibilities Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners. Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security) Support reporting development by validating source-to-report logic (including Structured Query Language (SQL and partnering on dashboard/report builds in Power BI Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance Work independently while coordinating across teams About the Team The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Senior Software Engineer Our client. a fast-growing technology company is seeking a Senior Software Engineer to help architect and build a next-generation real-time platform from the ground up. Working closely with a small senior engineering team, you will design and deliver scalable backend systems, cloud infrastructure and distributed architectures capable of supporting high-concurrency real-time experiences. This is a hands on role with significant influence over technical direction, infrastructure design and platform foundations. Key Responsibilities Design and build scalable backend services and cloud infrastructure Architect event-driven and distributed systems on AWS Develop APIs, microservices and internal tooling Improve reliability, observability and developer workflows Conduct load testing and performance optimisation Contribute to frontend applications where required About You You are a senior engineer with deep backend and cloud experience gained from operating production systems at scale. Key Skills & Experience Strong Node.js and TypeScript expertise Deep AWS knowledge across networking, IAM, compute and distributed systems Experience with event-driven architectures and high-concurrency systems Infrastructure as Code experience (Pulumi, Terraform or similar) Strong understanding of databases, caching and performance optimisation Experience with observability, monitoring and alerting Comfortable working across the stack when required Strong Linux, Docker and Git knowledge Not the Right Fit If Your experience is primarily frontend-focused You have limited hands-on AWS architecture experience You prefer highly structured environments and predefined processes Benefits Flexible working Excellent Career Progression Healthcare
28/05/2026
Full time
Senior Software Engineer Our client. a fast-growing technology company is seeking a Senior Software Engineer to help architect and build a next-generation real-time platform from the ground up. Working closely with a small senior engineering team, you will design and deliver scalable backend systems, cloud infrastructure and distributed architectures capable of supporting high-concurrency real-time experiences. This is a hands on role with significant influence over technical direction, infrastructure design and platform foundations. Key Responsibilities Design and build scalable backend services and cloud infrastructure Architect event-driven and distributed systems on AWS Develop APIs, microservices and internal tooling Improve reliability, observability and developer workflows Conduct load testing and performance optimisation Contribute to frontend applications where required About You You are a senior engineer with deep backend and cloud experience gained from operating production systems at scale. Key Skills & Experience Strong Node.js and TypeScript expertise Deep AWS knowledge across networking, IAM, compute and distributed systems Experience with event-driven architectures and high-concurrency systems Infrastructure as Code experience (Pulumi, Terraform or similar) Strong understanding of databases, caching and performance optimisation Experience with observability, monitoring and alerting Comfortable working across the stack when required Strong Linux, Docker and Git knowledge Not the Right Fit If Your experience is primarily frontend-focused You have limited hands-on AWS architecture experience You prefer highly structured environments and predefined processes Benefits Flexible working Excellent Career Progression Healthcare
Job Search Place Limited
Easter Howgate, Midlothian
Job description We're looking for someone to take ownership of hardware at Ember. This isn't a typical "Head of" role. You won't be handed a roadmap or a team of 20. You'll be expected to get involved directly-understand problems, build things, fix things, and develop your own view of what we should do next. Your background matters less than your ability to learn quickly, think clearly and build good things. About Ember We're building the future of public transport - convenient, affordable, connected and zero-emission. Our goal is to make it easier and more enjoyable to get from A to B with Ember than it is with your own car. Ember is a tech company, not a traditional bus operator. We've built a platform that coordinates our entire operation - everything from monitoring vehicles and controlling chargers to selling tickets and calculating ETAs. This allows us to use electric buses more intensively than anyone else in the world, leading to a massive reduction in emissions. It also helps us provide a much better passenger experience, with innovative features like demand-responsive stops. We're still tiny, with a handful of routes and 100 buses. The challenge is to scale this 50x whilst staying lean, increasing efficiency and delivering an even better product experience. We've recently raised a Series A from some of Europe's leading climate VCs and are looking for mission-driven individuals who want to get on board and help take us to the next level. The role You'll take responsibility for hardware across the business. That doesn't mean you'll be fixing our buses or installing our chargers yourself - we have a maintenance team and a charging team already set up and working well. Instead, your team does the engineering work to select, adapt or build hardware products that will allow Ember to be the highest-quality, most efficient transport operator out there. We're a software company and a hardware company. We think that by being great at both we can deliver a product and experience that goes beyond what currently exists in the industry. We want to take a software approach to hardware and vice-versa, getting the benefits from both approaches. This spans a broad range of possible projects - both short and long-term - such as: Continuing to develop our custom onboard unit for telematics, CCTV, Wi Fi and more - it's our own PCB, case and software. Driving the next generation of electric coach design forward. This isn't about sales meetings, it's about really thinking through what's possible and how we can get there. Everything from tweaks to our existing product to a clean sheet rebuild. Organising fit out of new vehicles. This means procuring stock, training our mechanics and creating a smooth production line. Specifying and debugging chargers and battery systems. We operate the fastest chargers in regular use in the UK which presents a lot of interesting data. Building out maintenance infrastructure and tooling. Using our huge pool of data to get better at predictive maintenance, or even better avoiding issues entirely. Figuring out how to make all of this more reliable, cheaper and easier to scale We don't expect you to come in with a perfect plan or even fully developed skills. You'll learn as you go by getting hands on quickly, understanding how things actually work (and fail), fixing problems, developing a strong worldview and introducing structure where it genuinely helps. Some weeks you might be building a quick prototype, 3D printing a bracket or setting up a test rig to debug a long standing issue. Other times you might hop on a flight to China to meet a supplier or decide to take a coach to pieces. Over time, you'll shape what hardware at Ember becomes. This is a role for someone who's excited by open ended opportunities, not intimidated by the lack of upfront KPIs. You'll get to work on real, physical systems at scale - vehicles, energy infrastructure, depots - with the freedom to explore interesting ideas and push things forward. The scope is wide. Today this is work the two founders share; we're looking for someone who can take it on and make it their own. How we work We're a small team. You'll be working directly with the founders and you'll manage the existing two person hardware team. You'll also have access to the rest of the team - everything from skilled mechanics to experienced software engineers. You'll need to be comfortable working in an environment where you: Build things yourself when that's fastest Bring in others when that creates leverage Don't hide behind process or titles Don't outsource thinking We care about quality. That doesn't mean everything is perfect, but you should know when something is rough and why-and improve it over time. You need taste. AI tools have changed how we work and have dramatically changed what one person can do. We expect you to use it heavily - write code without waiting for a software engineer, learn a new domain in a weekend instead of a year, draft a design faster than feels reasonable. The leverage is real, but only if you have the underlying engineering judgement to know when the output is good and when it's nonsense. What's on offer You'll receive a salary of £80,000-£120,000 per annum, depending on your experience and skills, plus share options. We intentionally keep this wide because differing levels of experience will be able to take on this role in different ways. You'll be expected to work from our office in central Edinburgh most days - we value in person communication - but there's flexibility around the odd day from home. We'll help with relocation to Edinburgh if you're making the move for us. Diversity and equality At Ember, we support diversity across our team and customers. We work to ensure every employee feels respected and able to give their best, whether temporary, part time or full time. We're happy to offer flexible working patterns where they make sense, are compassionate when it comes to time off and offer enhanced maternity and paternity leave. Read more about our approach in our Equal Opportunities Policy. Job requirements What we're looking for You'll likely have a strong engineering (electrical, mechanical, automotive etc.) background but we're open to other qualifications if you can demonstrate a genuine passion for hardware - e.g. you've built your own projects on the side with genuine craft. You need hands on credibility with tangible skills such as CAD, circuit design or fabrication. But your mindset matters more than any particular toolkit. You should have clarity of thought combined with an appreciation of trade offs across different topics. That means a strong desire to know the details and to understand it yourself. It means knowing that constraints are often like temporary trade offs and not physical impossibilities. We often talk about a "Feynman esque" approach to problem solving as an example of clear, first principles thinking. These should sound a lot like you: You can figure things out quickly without hand holding. You are precise. You quantify things where it is important. You have good taste and high standards for design, functionality and experience. You are comfortable jumping between strategy and execution. You can manage a small team without becoming detached from the work. You can communicate clearly and think in a structured way. You can be trusted. You won't bodge things that are safety critical but you won't hide behind regulations. If you say it can't be done we can trust you've genuinely explored all avenues. Hardware can move slowly. Iteration cycles are long and you'll have weeks where you feel you've achieved nothing because you're waiting on a supplier in Shenzhen. We need you to be patient with that and constantly looking for ways to fight it - parallelising, prototyping locally, removing dependencies where you can, jumping on a plane and so on.
28/05/2026
Full time
Job description We're looking for someone to take ownership of hardware at Ember. This isn't a typical "Head of" role. You won't be handed a roadmap or a team of 20. You'll be expected to get involved directly-understand problems, build things, fix things, and develop your own view of what we should do next. Your background matters less than your ability to learn quickly, think clearly and build good things. About Ember We're building the future of public transport - convenient, affordable, connected and zero-emission. Our goal is to make it easier and more enjoyable to get from A to B with Ember than it is with your own car. Ember is a tech company, not a traditional bus operator. We've built a platform that coordinates our entire operation - everything from monitoring vehicles and controlling chargers to selling tickets and calculating ETAs. This allows us to use electric buses more intensively than anyone else in the world, leading to a massive reduction in emissions. It also helps us provide a much better passenger experience, with innovative features like demand-responsive stops. We're still tiny, with a handful of routes and 100 buses. The challenge is to scale this 50x whilst staying lean, increasing efficiency and delivering an even better product experience. We've recently raised a Series A from some of Europe's leading climate VCs and are looking for mission-driven individuals who want to get on board and help take us to the next level. The role You'll take responsibility for hardware across the business. That doesn't mean you'll be fixing our buses or installing our chargers yourself - we have a maintenance team and a charging team already set up and working well. Instead, your team does the engineering work to select, adapt or build hardware products that will allow Ember to be the highest-quality, most efficient transport operator out there. We're a software company and a hardware company. We think that by being great at both we can deliver a product and experience that goes beyond what currently exists in the industry. We want to take a software approach to hardware and vice-versa, getting the benefits from both approaches. This spans a broad range of possible projects - both short and long-term - such as: Continuing to develop our custom onboard unit for telematics, CCTV, Wi Fi and more - it's our own PCB, case and software. Driving the next generation of electric coach design forward. This isn't about sales meetings, it's about really thinking through what's possible and how we can get there. Everything from tweaks to our existing product to a clean sheet rebuild. Organising fit out of new vehicles. This means procuring stock, training our mechanics and creating a smooth production line. Specifying and debugging chargers and battery systems. We operate the fastest chargers in regular use in the UK which presents a lot of interesting data. Building out maintenance infrastructure and tooling. Using our huge pool of data to get better at predictive maintenance, or even better avoiding issues entirely. Figuring out how to make all of this more reliable, cheaper and easier to scale We don't expect you to come in with a perfect plan or even fully developed skills. You'll learn as you go by getting hands on quickly, understanding how things actually work (and fail), fixing problems, developing a strong worldview and introducing structure where it genuinely helps. Some weeks you might be building a quick prototype, 3D printing a bracket or setting up a test rig to debug a long standing issue. Other times you might hop on a flight to China to meet a supplier or decide to take a coach to pieces. Over time, you'll shape what hardware at Ember becomes. This is a role for someone who's excited by open ended opportunities, not intimidated by the lack of upfront KPIs. You'll get to work on real, physical systems at scale - vehicles, energy infrastructure, depots - with the freedom to explore interesting ideas and push things forward. The scope is wide. Today this is work the two founders share; we're looking for someone who can take it on and make it their own. How we work We're a small team. You'll be working directly with the founders and you'll manage the existing two person hardware team. You'll also have access to the rest of the team - everything from skilled mechanics to experienced software engineers. You'll need to be comfortable working in an environment where you: Build things yourself when that's fastest Bring in others when that creates leverage Don't hide behind process or titles Don't outsource thinking We care about quality. That doesn't mean everything is perfect, but you should know when something is rough and why-and improve it over time. You need taste. AI tools have changed how we work and have dramatically changed what one person can do. We expect you to use it heavily - write code without waiting for a software engineer, learn a new domain in a weekend instead of a year, draft a design faster than feels reasonable. The leverage is real, but only if you have the underlying engineering judgement to know when the output is good and when it's nonsense. What's on offer You'll receive a salary of £80,000-£120,000 per annum, depending on your experience and skills, plus share options. We intentionally keep this wide because differing levels of experience will be able to take on this role in different ways. You'll be expected to work from our office in central Edinburgh most days - we value in person communication - but there's flexibility around the odd day from home. We'll help with relocation to Edinburgh if you're making the move for us. Diversity and equality At Ember, we support diversity across our team and customers. We work to ensure every employee feels respected and able to give their best, whether temporary, part time or full time. We're happy to offer flexible working patterns where they make sense, are compassionate when it comes to time off and offer enhanced maternity and paternity leave. Read more about our approach in our Equal Opportunities Policy. Job requirements What we're looking for You'll likely have a strong engineering (electrical, mechanical, automotive etc.) background but we're open to other qualifications if you can demonstrate a genuine passion for hardware - e.g. you've built your own projects on the side with genuine craft. You need hands on credibility with tangible skills such as CAD, circuit design or fabrication. But your mindset matters more than any particular toolkit. You should have clarity of thought combined with an appreciation of trade offs across different topics. That means a strong desire to know the details and to understand it yourself. It means knowing that constraints are often like temporary trade offs and not physical impossibilities. We often talk about a "Feynman esque" approach to problem solving as an example of clear, first principles thinking. These should sound a lot like you: You can figure things out quickly without hand holding. You are precise. You quantify things where it is important. You have good taste and high standards for design, functionality and experience. You are comfortable jumping between strategy and execution. You can manage a small team without becoming detached from the work. You can communicate clearly and think in a structured way. You can be trusted. You won't bodge things that are safety critical but you won't hide behind regulations. If you say it can't be done we can trust you've genuinely explored all avenues. Hardware can move slowly. Iteration cycles are long and you'll have weeks where you feel you've achieved nothing because you're waiting on a supplier in Shenzhen. We need you to be patient with that and constantly looking for ways to fight it - parallelising, prototyping locally, removing dependencies where you can, jumping on a plane and so on.
Job Search Place Limited
Easter Howgate, Midlothian
THE POSITION We're looking for a Senior Software Engineer to join our Sportsbook Core Apps engineering team. You'll be working on foundational engineering, focusing on improving the underlying frameworks, tooling, and performance that enable FanDuel to deliver an exciting and innovative customer experience. Working with our React Native Sportsbook application, you'll enhance the core React Native platform and shared codebase to improve performance, scalability, reliability, and developer experience. You'll collaborate closely with engineers across the org to ensure the React Native stack integrates cleanly with native layers and enables feature teams to deliver safely and quickly. We're looking for skilled engineers who are empathetic communicators with a commitment to continuous improvement and engineering excellence. The ideal candidate has significant experience delivering production React Native applications, can propose pragmatic solutions to performance and platform challenges, and enjoys mentoring others and raising quality standards. As a member of this team, you will strengthen the foundations of our mobile platform, enabling FanDuel engineers to deliver features more effectively while maintaining platform quality and best practices. We are a growth company so there are plenty of opportunities for you to learn & grow with us. Responsibilities Enhancing the core React Native codebase for the Sportsbook app, focusing on performance, scalability, and maintainability Profiling and optimising app startup and runtime performance across the React Native stack (rendering, bundle size, memory, JS/native thread work, etc.) Building and maintaining shared frameworks, tooling, libraries, and components that support feature teams Improving developer experience through better tooling, documentation, templates, CI reliability, and build performance Contributing to technical design discussions and leading multi-phase improvements, breaking work into incremental, testable deliveries aligned with team priorities Supporting continuous improvement initiatives that raise quality, reduce toil, and improve operational readiness within the domain Joining our on-call rota, sharing out of hours support duties as part of our incident response process Qualifications Significant experience delivering production React Native applications (OR strong React skills with interest in mobile development) Strong TypeScript skills and a solid understanding of React patterns, architecture, and maintainable code practices at scale Practical experience profiling and improving performance in React Native applications (startup time, rendering, responsiveness, memory, etc.) Experience with React Native native modules / bridging; native Android (Kotlin/Java) and/or iOS (Swift) experience is a plus Familiarity with mobile development best practices, testing strategies, and CI/CD pipelines Experience working in Agile teams and contributing to collaborative technical standards A quality-focused mindset with strong problem-solving skills and the ability to evaluate trade-offs in ambiguous situations Additional Expectations Contribute meaningfully to technical design discussions and propose pragmatic solutions aligned with our technical vision Take ownership of delivering platform improvements end to end, including measurement, rollout, and iteration Mentor and support other engineers, raising the bar through thoughtful reviews, coaching, and knowledge-sharing Participate in wider engineering community initiatives and help spread best practices Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email . The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
28/05/2026
Full time
THE POSITION We're looking for a Senior Software Engineer to join our Sportsbook Core Apps engineering team. You'll be working on foundational engineering, focusing on improving the underlying frameworks, tooling, and performance that enable FanDuel to deliver an exciting and innovative customer experience. Working with our React Native Sportsbook application, you'll enhance the core React Native platform and shared codebase to improve performance, scalability, reliability, and developer experience. You'll collaborate closely with engineers across the org to ensure the React Native stack integrates cleanly with native layers and enables feature teams to deliver safely and quickly. We're looking for skilled engineers who are empathetic communicators with a commitment to continuous improvement and engineering excellence. The ideal candidate has significant experience delivering production React Native applications, can propose pragmatic solutions to performance and platform challenges, and enjoys mentoring others and raising quality standards. As a member of this team, you will strengthen the foundations of our mobile platform, enabling FanDuel engineers to deliver features more effectively while maintaining platform quality and best practices. We are a growth company so there are plenty of opportunities for you to learn & grow with us. Responsibilities Enhancing the core React Native codebase for the Sportsbook app, focusing on performance, scalability, and maintainability Profiling and optimising app startup and runtime performance across the React Native stack (rendering, bundle size, memory, JS/native thread work, etc.) Building and maintaining shared frameworks, tooling, libraries, and components that support feature teams Improving developer experience through better tooling, documentation, templates, CI reliability, and build performance Contributing to technical design discussions and leading multi-phase improvements, breaking work into incremental, testable deliveries aligned with team priorities Supporting continuous improvement initiatives that raise quality, reduce toil, and improve operational readiness within the domain Joining our on-call rota, sharing out of hours support duties as part of our incident response process Qualifications Significant experience delivering production React Native applications (OR strong React skills with interest in mobile development) Strong TypeScript skills and a solid understanding of React patterns, architecture, and maintainable code practices at scale Practical experience profiling and improving performance in React Native applications (startup time, rendering, responsiveness, memory, etc.) Experience with React Native native modules / bridging; native Android (Kotlin/Java) and/or iOS (Swift) experience is a plus Familiarity with mobile development best practices, testing strategies, and CI/CD pipelines Experience working in Agile teams and contributing to collaborative technical standards A quality-focused mindset with strong problem-solving skills and the ability to evaluate trade-offs in ambiguous situations Additional Expectations Contribute meaningfully to technical design discussions and propose pragmatic solutions aligned with our technical vision Take ownership of delivering platform improvements end to end, including measurement, rollout, and iteration Mentor and support other engineers, raising the bar through thoughtful reviews, coaching, and knowledge-sharing Participate in wider engineering community initiatives and help spread best practices Diversity, Equity and Inclusion FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email . The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
Job Search Place Limited
Birmingham, Staffordshire
About School of Coding & AI School of Coding & AI (SoC&AI) is one of the UK's fastest growing education providers, delivering high quality, career focused programmes across Business, Coding, Computer Science & AI, STEM, Health and Social Care. We work with schools and universities to provide education that leads to real outcomes. Our focus is simple, student first, always. We are now looking for a Head of Computing & IT to lead the strategic development, academic quality and continued growth of our Computing, IT, Computer Science and digital technology provision. About the role Reporting to the Dean, the Head of Computing & IT will provide strategic and operational leadership across our Computing and IT academic portfolio, ensuring the School delivers high quality teaching, strong student outcomes and programmes that remain relevant to the needs of the technology, digital and computing sectors. This is a senior academic leadership role with responsibility for shaping the direction of the Computing & IT portfolio, strengthening academic standards, supporting curriculum development and driving sustainable growth. You will work closely with Subject Leads, academic teams and senior leaders to ensure the School has the right structure, quality assurance, partnerships and delivery standards in place to support students and meet organisational objectives. The role will also play an important part in identifying opportunities to expand provision, develop new courses, build external partnerships and strengthen SoC&AI's profile across computing, IT, digital technology, software development, cyber, data, AI and related sectors. The postholder will be responsible for maintaining academic quality, regulatory compliance and financial sustainability, while contributing to SoC&AI's wider growth strategy and ensuring the Computing & IT School is recognised for quality, relevance, innovation and student success. What You'll Be Doing Strategic Leadership Set and deliver a clear academic and commercial strategy for the Computing & IT School. Lead the growth and development of Computing, IT, Computer Science and digital technology provision. Identify market opportunities, sector needs and curriculum developments that support portfolio growth. Contribute to senior leadership forums and wider organisational strategy. Ensure the School's direction aligns with SoCAI's priorities, student outcomes and external sector expectations. Academic Quality & Student Experience Own teaching quality, learning outcomes and the overall student experience. Ensure compliance with regulatory bodies such as OfS, Ofsted and relevant PSRBs. Use data, including NSS, continuation, completion and outcomes, to drive improvement. Embed inclusive, accessible and high quality education. Research, Innovation & Impact Develop research, scholarship and knowledge exchange activity across Computing, IT and related disciplines. Encourage applied research, sector engagement and innovation that supports real world technology, digital and computing challenges. Support staff development, research output and external funding opportunities. Align activity with industry needs and regional priorities. People Leadership Lead and develop academic teams across the Computing & IT School. Build a high performing, accountable and engaged culture. Manage senior roles within the School and support leadership capability. Oversee workforce planning and effective deployment of resources. Financial & Operational Management Own and manage the Computing & IT School budget. Ensure financial sustainability and delivery against agreed targets. Optimise use of staff, space and resources. Respond effectively to changes in funding or demand. External Partnerships & Profile Build and manage relationships with employers, universities, technology companies, digital organisations, professional bodies and wider sector partners. Create opportunities for placements, employability, applied learning and sector engagement. Represent the Computing & IT School externally and strengthen its reputation. Develop partnerships that support curriculum relevance, student progression and wider industry impact. Governance & Compliance Ensure full compliance with internal policies and external regulations. Lead on risk management, safeguarding and health & safety within the School. Contribute to academic governance and assurance processes. What We're Looking For Essential Senior leadership experience within higher education, computing, IT, computer science, digital technology or a closely related sector. PhD or equivalent qualification. Strong academic or professional credibility within Computing, IT, Computer Science, Software Engineering, Data, Cyber, AI or a related discipline. Proven track record of driving growth, change or performance improvement. Experience managing budgets and resources at scale. Experience working within regulated or accredited education environments. Strong stakeholder management and influencing skills. Clear commitment to equality, diversity and inclusion. Experience with inspections or frameworks such as QAA, Ofsted or PSRBs. Desirable Professorial or equivalent professional standing. Experience leading large or multidisciplinary teams. Experience with OfS, TEF or KEF submissions. Track record of building external partnerships across academia, industry or the wider technology sector. Experience developing new courses or expanding academic provision within Computing, IT, Computer Science, digital technology or related disciplines. Key Relationships Principal, Dean and Executive Leadership. School Leadership Team and Heads of Subjects. Academic and Professional Services teams. External partners including universities, employers, PSRBs and regulators. Why Join Us Play a key leadership role in a fast growing education organisation. Shape the future of a School with real autonomy. Work in an environment that values impact and innovation. Be part of a team focused on delivering real outcomes for students. Salary £60,000 per annum plus a performance related bonus of up to £15,000. Generous annual leave entitlement. Pension scheme. Employee Assistance Programme. Strong CPD and development opportunities. Company and social events. Retail discounts through Bright Exchange. Free onsite parking.
28/05/2026
Full time
About School of Coding & AI School of Coding & AI (SoC&AI) is one of the UK's fastest growing education providers, delivering high quality, career focused programmes across Business, Coding, Computer Science & AI, STEM, Health and Social Care. We work with schools and universities to provide education that leads to real outcomes. Our focus is simple, student first, always. We are now looking for a Head of Computing & IT to lead the strategic development, academic quality and continued growth of our Computing, IT, Computer Science and digital technology provision. About the role Reporting to the Dean, the Head of Computing & IT will provide strategic and operational leadership across our Computing and IT academic portfolio, ensuring the School delivers high quality teaching, strong student outcomes and programmes that remain relevant to the needs of the technology, digital and computing sectors. This is a senior academic leadership role with responsibility for shaping the direction of the Computing & IT portfolio, strengthening academic standards, supporting curriculum development and driving sustainable growth. You will work closely with Subject Leads, academic teams and senior leaders to ensure the School has the right structure, quality assurance, partnerships and delivery standards in place to support students and meet organisational objectives. The role will also play an important part in identifying opportunities to expand provision, develop new courses, build external partnerships and strengthen SoC&AI's profile across computing, IT, digital technology, software development, cyber, data, AI and related sectors. The postholder will be responsible for maintaining academic quality, regulatory compliance and financial sustainability, while contributing to SoC&AI's wider growth strategy and ensuring the Computing & IT School is recognised for quality, relevance, innovation and student success. What You'll Be Doing Strategic Leadership Set and deliver a clear academic and commercial strategy for the Computing & IT School. Lead the growth and development of Computing, IT, Computer Science and digital technology provision. Identify market opportunities, sector needs and curriculum developments that support portfolio growth. Contribute to senior leadership forums and wider organisational strategy. Ensure the School's direction aligns with SoCAI's priorities, student outcomes and external sector expectations. Academic Quality & Student Experience Own teaching quality, learning outcomes and the overall student experience. Ensure compliance with regulatory bodies such as OfS, Ofsted and relevant PSRBs. Use data, including NSS, continuation, completion and outcomes, to drive improvement. Embed inclusive, accessible and high quality education. Research, Innovation & Impact Develop research, scholarship and knowledge exchange activity across Computing, IT and related disciplines. Encourage applied research, sector engagement and innovation that supports real world technology, digital and computing challenges. Support staff development, research output and external funding opportunities. Align activity with industry needs and regional priorities. People Leadership Lead and develop academic teams across the Computing & IT School. Build a high performing, accountable and engaged culture. Manage senior roles within the School and support leadership capability. Oversee workforce planning and effective deployment of resources. Financial & Operational Management Own and manage the Computing & IT School budget. Ensure financial sustainability and delivery against agreed targets. Optimise use of staff, space and resources. Respond effectively to changes in funding or demand. External Partnerships & Profile Build and manage relationships with employers, universities, technology companies, digital organisations, professional bodies and wider sector partners. Create opportunities for placements, employability, applied learning and sector engagement. Represent the Computing & IT School externally and strengthen its reputation. Develop partnerships that support curriculum relevance, student progression and wider industry impact. Governance & Compliance Ensure full compliance with internal policies and external regulations. Lead on risk management, safeguarding and health & safety within the School. Contribute to academic governance and assurance processes. What We're Looking For Essential Senior leadership experience within higher education, computing, IT, computer science, digital technology or a closely related sector. PhD or equivalent qualification. Strong academic or professional credibility within Computing, IT, Computer Science, Software Engineering, Data, Cyber, AI or a related discipline. Proven track record of driving growth, change or performance improvement. Experience managing budgets and resources at scale. Experience working within regulated or accredited education environments. Strong stakeholder management and influencing skills. Clear commitment to equality, diversity and inclusion. Experience with inspections or frameworks such as QAA, Ofsted or PSRBs. Desirable Professorial or equivalent professional standing. Experience leading large or multidisciplinary teams. Experience with OfS, TEF or KEF submissions. Track record of building external partnerships across academia, industry or the wider technology sector. Experience developing new courses or expanding academic provision within Computing, IT, Computer Science, digital technology or related disciplines. Key Relationships Principal, Dean and Executive Leadership. School Leadership Team and Heads of Subjects. Academic and Professional Services teams. External partners including universities, employers, PSRBs and regulators. Why Join Us Play a key leadership role in a fast growing education organisation. Shape the future of a School with real autonomy. Work in an environment that values impact and innovation. Be part of a team focused on delivering real outcomes for students. Salary £60,000 per annum plus a performance related bonus of up to £15,000. Generous annual leave entitlement. Pension scheme. Employee Assistance Programme. Strong CPD and development opportunities. Company and social events. Retail discounts through Bright Exchange. Free onsite parking.