it job board logo
  • Home
  • Find IT Jobs
  • Register CV
  • Career Advice
  • Contact us
  • Employers
    • Register as Employer
    • Pricing Plans
  • Recruiting? Post a job
  • Sign in
  • Sign up
  • Home
  • Find IT Jobs
  • Register CV
  • Career Advice
  • Contact us
  • Employers
    • Register as Employer
    • Pricing Plans
Sorry, that job is no longer available. Here are some results that may be similar to the job you were looking for.

494 jobs found

Email me jobs like this
Refine Search
Current Search
senior embedded software engineer
Sr. Backend Engineer
Andercore GmbH
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
26/07/2026
Full time
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
Senior Java Engineer
United States Digital Space LLC Haywards Heath, Sussex
Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support
26/07/2026
Full time
Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support
Senior Embedded Architect Manager
NVIDIA Corporation
Senior Embedded Architect ManagerApplylocations: UK, Remote: UK, Cambridge: UK, Bristol: UK, Belfast: UK, Readingtime type: Full timeposted on: Posted 10 Days Agojob requisition id: JRNVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products.NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. Collaborate with partners on the implementation of open-source software. Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. Work with customers, partners to identify and address security issues and threats. What we need to see: BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. 12+ years of relevant experience. First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe Have directly worked on several of the following: Computing platform boot architecture in embedded devices and servers RISC-V architecture, Root-of-trust, and security processors. Familiarity with embedded systems and programming low-level firmware. Familiar with Security-by-design hardware and principles of privileges. Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
26/07/2026
Full time
Senior Embedded Architect ManagerApplylocations: UK, Remote: UK, Cambridge: UK, Bristol: UK, Belfast: UK, Readingtime type: Full timeposted on: Posted 10 Days Agojob requisition id: JRNVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products.NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. Collaborate with partners on the implementation of open-source software. Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. Work with customers, partners to identify and address security issues and threats. What we need to see: BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. 12+ years of relevant experience. First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe Have directly worked on several of the following: Computing platform boot architecture in embedded devices and servers RISC-V architecture, Root-of-trust, and security processors. Familiarity with embedded systems and programming low-level firmware. Familiar with Security-by-design hardware and principles of privileges. Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Graduate AI Engineering Lab
The Scale Factory Leeds, Yorkshire
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
26/07/2026
Full time
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
(Senior) Research Software Engineer - AI Co-Scientist Systems
The Earlham Institute Norwich, Norfolk
(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details
26/07/2026
Full time
(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details
Senior Firmware Engineer
American Society of Civil Engineers
Senior Embedded Software Engineer Embedded C/C++ Merseyside £55k-£65k Hybrid Senior Embedded Software Engineer wanted for an established embedded electronics business in the North West. Embedded C / C++, CAN bus, 32-bit microcontrollers, and real vehicles to prove your code in. Commutable from Liverpool, Chester, Warrington and across Cheshire and Merseyside. They build intelligent systems that go into specialist vehicles. Real kit, in real vehicles, doing a real job. And that's the tone of the role: bench, lab and vehicle work, not always at a desk and a backlog. You'd be the senior firmware presence in the R&D team. Leading the build from architecture through to proving it works in the vehicle itself. Setting the quality bar. Bringing the less experienced developers on. The engineer they're after Substantial years of commercial embedded firmware development in C / C++ on 32-bit microcontrollers with a history of leading delivery on tricky products. Solid vehicle-bus background. CAN bus, LIN or similar is essential, and the deeper the better: bus design, message architecture, diagnostics, and the tooling to troubleshoot it (CANalyzer, PCAN, BusMaster or equivalent). Actually happy in a vehicle. Harnesses, wiring, in-vehicle debugging, commissioning. Strong real-time embedded fundamentals: RTOS, interrupts, low-level drivers, and the usual protocols (SPI, I2C, UART). Confident reading schematics and working shoulder to shoulder with hardware engineers. Additional experience of interest CAN-FD, J1939, UDS or ISO 26262 functional safety. Vehicle body control systems. Bootloader and OTA firmware development. The shape of it Based in the North West, commutable from Liverpool, Chester and Cheshire. Hybrid in principle, but the lab, the bench and the vehicles are on site, so plan on three days a week minimum in the building. Workshop-anchored, not remote-first.
26/07/2026
Full time
Senior Embedded Software Engineer Embedded C/C++ Merseyside £55k-£65k Hybrid Senior Embedded Software Engineer wanted for an established embedded electronics business in the North West. Embedded C / C++, CAN bus, 32-bit microcontrollers, and real vehicles to prove your code in. Commutable from Liverpool, Chester, Warrington and across Cheshire and Merseyside. They build intelligent systems that go into specialist vehicles. Real kit, in real vehicles, doing a real job. And that's the tone of the role: bench, lab and vehicle work, not always at a desk and a backlog. You'd be the senior firmware presence in the R&D team. Leading the build from architecture through to proving it works in the vehicle itself. Setting the quality bar. Bringing the less experienced developers on. The engineer they're after Substantial years of commercial embedded firmware development in C / C++ on 32-bit microcontrollers with a history of leading delivery on tricky products. Solid vehicle-bus background. CAN bus, LIN or similar is essential, and the deeper the better: bus design, message architecture, diagnostics, and the tooling to troubleshoot it (CANalyzer, PCAN, BusMaster or equivalent). Actually happy in a vehicle. Harnesses, wiring, in-vehicle debugging, commissioning. Strong real-time embedded fundamentals: RTOS, interrupts, low-level drivers, and the usual protocols (SPI, I2C, UART). Confident reading schematics and working shoulder to shoulder with hardware engineers. Additional experience of interest CAN-FD, J1939, UDS or ISO 26262 functional safety. Vehicle body control systems. Bootloader and OTA firmware development. The shape of it Based in the North West, commutable from Liverpool, Chester and Cheshire. Hybrid in principle, but the lab, the bench and the vehicles are on site, so plan on three days a week minimum in the building. Workshop-anchored, not remote-first.
Senior Software Engineer
Synamedia Holdings Limited
At Synamedia, we're a global team of 800+ trailblazers across 17 countries, revolutionizing how the world is entertained and informed. Synamedia helps many of the world's leading operators and media companies create, deliver and monetise next-generation video experiences across mobile and big screen. Combining integrated platforms, cloud innovation and trusted operational expertise, Synamedia enables customers to grow audiences, increase engagement, and accelerate digital transformation. Our solutions have been built over the last three decades and are trusted by giants like Astro, Sky, beIN Sports, Vodafone, OSN, Etisalat and many more. Ready to grow with us and shape the future of media and entertainment solutions? Let's do it together! Role & Responsibilities We work in close partnership with our customers to deliver high-quality, high-performance, and efficient software solutions and processes. Our flagship product has evolved over many years through expert collaboration across multidisciplinary teams and multiple global locations. We are seeking engineers with strong development and integration experience who thrive in collaborative environments and can contribute effectively within an innovative, scaled Agile, customer-aligned project. Desired Skills Strong team player who enjoys challenges and demonstrates excellent analytical skills Proactively seeks innovative approaches to solving both new and existing customer problems Demonstrates a proactive, problem-solving mindset with a focus on continuous improvement Passionate about leveraging AI-driven tools to streamline workflows, automate repetitive tasks, and accelerate development Required Skills/Qualifications Experience designing software to meet customer and internal requirements, including defining interfaces between software services Experience working within Scaled Agile / Scrum environments, including estimation and planning Experience with Set-Top Box (STB) platforms Strong knowledge of C/C++/Qt in an embedded environment Experience designing and working with Service Oriented Architectures (SOA) Deep understanding of embedded systems architecture and associated constraints Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines Hands on experience with Docker, AWS, and Jenkins Familiarity with modern DevOps practices and automation University degree in relevant subject Growth Opportunities When welcoming new talent into the team, we are always looking for opportunities to bring in new ideas, those who ask challenging questions and have the curiosity to learn. These qualities are important to us as we nurture a culture of innovation, seize more opportunities to partner with our customers and make a difference as we transform the future of video. To further support your growth and that of our talent pool, Synamedia offers an exhaustive library of skill enhancement resources from AWS, SkillSoft and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there's something for every kind of mind. Benefits and Perks Flexible working arrangements. Competitive pay hikes and bonus packages. Skill enhancement and growth opportunities. Health and wellbeing programmes. Collaborative work with a truly global team. Equal opportunity employment. A Culture of Belonging Synamedia is committed to promoting a diverse, inclusive and equal opportunity community - a place where we can all be ourselves and succeed. Our values connect us, and we love to win together. We work with a bias to action, have a bold approach and encourage being deeply curious to grow and evolve, as a team. In our aim to foster a people-friendly environment, we offer a range of family friendly, inclusive employment policies, flexible working arrangements, engagement activities and services to support all our colleagues across our 20 office locations. Synamedia regularly organises community events that promote cohesion and diversity among colleagues. We are proud of our mental health wellbeing initiatives, our Pride month awareness campaign, our cancer awareness programme and much more.
26/07/2026
Full time
At Synamedia, we're a global team of 800+ trailblazers across 17 countries, revolutionizing how the world is entertained and informed. Synamedia helps many of the world's leading operators and media companies create, deliver and monetise next-generation video experiences across mobile and big screen. Combining integrated platforms, cloud innovation and trusted operational expertise, Synamedia enables customers to grow audiences, increase engagement, and accelerate digital transformation. Our solutions have been built over the last three decades and are trusted by giants like Astro, Sky, beIN Sports, Vodafone, OSN, Etisalat and many more. Ready to grow with us and shape the future of media and entertainment solutions? Let's do it together! Role & Responsibilities We work in close partnership with our customers to deliver high-quality, high-performance, and efficient software solutions and processes. Our flagship product has evolved over many years through expert collaboration across multidisciplinary teams and multiple global locations. We are seeking engineers with strong development and integration experience who thrive in collaborative environments and can contribute effectively within an innovative, scaled Agile, customer-aligned project. Desired Skills Strong team player who enjoys challenges and demonstrates excellent analytical skills Proactively seeks innovative approaches to solving both new and existing customer problems Demonstrates a proactive, problem-solving mindset with a focus on continuous improvement Passionate about leveraging AI-driven tools to streamline workflows, automate repetitive tasks, and accelerate development Required Skills/Qualifications Experience designing software to meet customer and internal requirements, including defining interfaces between software services Experience working within Scaled Agile / Scrum environments, including estimation and planning Experience with Set-Top Box (STB) platforms Strong knowledge of C/C++/Qt in an embedded environment Experience designing and working with Service Oriented Architectures (SOA) Deep understanding of embedded systems architecture and associated constraints Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines Hands on experience with Docker, AWS, and Jenkins Familiarity with modern DevOps practices and automation University degree in relevant subject Growth Opportunities When welcoming new talent into the team, we are always looking for opportunities to bring in new ideas, those who ask challenging questions and have the curiosity to learn. These qualities are important to us as we nurture a culture of innovation, seize more opportunities to partner with our customers and make a difference as we transform the future of video. To further support your growth and that of our talent pool, Synamedia offers an exhaustive library of skill enhancement resources from AWS, SkillSoft and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there's something for every kind of mind. Benefits and Perks Flexible working arrangements. Competitive pay hikes and bonus packages. Skill enhancement and growth opportunities. Health and wellbeing programmes. Collaborative work with a truly global team. Equal opportunity employment. A Culture of Belonging Synamedia is committed to promoting a diverse, inclusive and equal opportunity community - a place where we can all be ourselves and succeed. Our values connect us, and we love to win together. We work with a bias to action, have a bold approach and encourage being deeply curious to grow and evolve, as a team. In our aim to foster a people-friendly environment, we offer a range of family friendly, inclusive employment policies, flexible working arrangements, engagement activities and services to support all our colleagues across our 20 office locations. Synamedia regularly organises community events that promote cohesion and diversity among colleagues. We are proud of our mental health wellbeing initiatives, our Pride month awareness campaign, our cancer awareness programme and much more.
Embedded Software Engineer - Contractor
DEA Aviation Ltd.
Embedded Software Engineer - Contractor Department: Systems Employment Type: Temporary Location: Gamston Airport, Retford Reporting To: Jonathan Tawn Description DEA Aviation is the UK-based lead operational company within the wider DEA Group. As part of a strategic corporate structure, the Group includes European Specialised Aviation Operations (ESAO), a wholly owned subsidiary based in Malta. Our technology is at the core of what we do. We design and build integrated software and hardware systems that bring together complex sensor technologies and different technical standards. The result: flexible, reliable systems that perform under pressure and deliver on tight timelines. As a Senior Software Engineer you will be contributing to the design, development and delivery of robust, mission-critical systems. Building high-quality software, collaborating with experienced engineers and growing your technical expertise in a highly regulated environment. Taking ownership of your work, contributing to team standards and continuously developing your skills while solving real-world problems. You care about clean code, reliable systems, and delivering value in a safe and efficient way. Key Responsibilities Software Engineering Develop and enhance core software applications using Bash, Python and JavaScript. Embedded Systems & Hardware Security Design and deploy low-level security architectures, specifically implementing Intel Secure Boot and Arm TrustZone. Engineer reliable software connectivity and data pipelines between Intel host boards and Eizo (ARM/NVIDIA) GPGPUs. Design and integrate Intelligent Platform Management Interface (IPMI) solutions for robust hardware management. Implement Ubuntu and relevant driver infrastructure Technical Operations Author and maintain comprehensive, high-quality technical documentation for all engineered solutions. Act as a technical Subject Matter Expert (SME), providing ad-hoc mentorship and technical support to internal engineering teams. Skills, Knowledge & Expertise Hold a degree in Computer Science, Software Engineering, or equivalent practical experience Have a proven track record of software delivery from inception through to production and maintenance Skills Profile Ability to obtain SC Clearance Experience with Python and building applications using React Working knowledge of relational and/or databases such as PostgreSQL, MongoDB, DynamoDB Understanding of software engineering fundamental Comfortable with AWS services (e.g. EC2, Lambda, or similar) Familiarity with Git and collaborative development workflows Some experience with Docker and containerised environments Awareness of CI/CD practices and automated testing Understanding of Linux environment Strong problem-solving skills and a lifelong learner Ability to communicate clearly and work effectively in a team Working within regulated environments A proactive mindset and eagerness to develop your skills Naturally default to data-driven decision making Champion engineering excellence, leading code reviews, shaping automated testing strategies, and writing clean, maintainable code Mentor and upskill mid-level and junior engineers, acting as a technical multiplier for your team Architect and build reusable, performant front-end components and drive front-end architecture using React Design and scale microservices-based systems and APIs, proactively addressing latency, reliability, and system bottlenecks Implement robust system resilience (e.g., retries, timeouts, circuit breakers) and drive a security-first approach to development Define and implement observability strategies using modern logging and monitoring tools to ensure system health Optimise and manage CI/CD pipelines to ensure smooth, predictable, and secure deployment lifecycles Collaborate with product and design teams to translate complex business requirements into scalable technical solutions
26/07/2026
Full time
Embedded Software Engineer - Contractor Department: Systems Employment Type: Temporary Location: Gamston Airport, Retford Reporting To: Jonathan Tawn Description DEA Aviation is the UK-based lead operational company within the wider DEA Group. As part of a strategic corporate structure, the Group includes European Specialised Aviation Operations (ESAO), a wholly owned subsidiary based in Malta. Our technology is at the core of what we do. We design and build integrated software and hardware systems that bring together complex sensor technologies and different technical standards. The result: flexible, reliable systems that perform under pressure and deliver on tight timelines. As a Senior Software Engineer you will be contributing to the design, development and delivery of robust, mission-critical systems. Building high-quality software, collaborating with experienced engineers and growing your technical expertise in a highly regulated environment. Taking ownership of your work, contributing to team standards and continuously developing your skills while solving real-world problems. You care about clean code, reliable systems, and delivering value in a safe and efficient way. Key Responsibilities Software Engineering Develop and enhance core software applications using Bash, Python and JavaScript. Embedded Systems & Hardware Security Design and deploy low-level security architectures, specifically implementing Intel Secure Boot and Arm TrustZone. Engineer reliable software connectivity and data pipelines between Intel host boards and Eizo (ARM/NVIDIA) GPGPUs. Design and integrate Intelligent Platform Management Interface (IPMI) solutions for robust hardware management. Implement Ubuntu and relevant driver infrastructure Technical Operations Author and maintain comprehensive, high-quality technical documentation for all engineered solutions. Act as a technical Subject Matter Expert (SME), providing ad-hoc mentorship and technical support to internal engineering teams. Skills, Knowledge & Expertise Hold a degree in Computer Science, Software Engineering, or equivalent practical experience Have a proven track record of software delivery from inception through to production and maintenance Skills Profile Ability to obtain SC Clearance Experience with Python and building applications using React Working knowledge of relational and/or databases such as PostgreSQL, MongoDB, DynamoDB Understanding of software engineering fundamental Comfortable with AWS services (e.g. EC2, Lambda, or similar) Familiarity with Git and collaborative development workflows Some experience with Docker and containerised environments Awareness of CI/CD practices and automated testing Understanding of Linux environment Strong problem-solving skills and a lifelong learner Ability to communicate clearly and work effectively in a team Working within regulated environments A proactive mindset and eagerness to develop your skills Naturally default to data-driven decision making Champion engineering excellence, leading code reviews, shaping automated testing strategies, and writing clean, maintainable code Mentor and upskill mid-level and junior engineers, acting as a technical multiplier for your team Architect and build reusable, performant front-end components and drive front-end architecture using React Design and scale microservices-based systems and APIs, proactively addressing latency, reliability, and system bottlenecks Implement robust system resilience (e.g., retries, timeouts, circuit breakers) and drive a security-first approach to development Define and implement observability strategies using modern logging and monitoring tools to ensure system health Optimise and manage CI/CD pipelines to ensure smooth, predictable, and secure deployment lifecycles Collaborate with product and design teams to translate complex business requirements into scalable technical solutions
Senior Embedded Firmware Lead - In-Vehicle Systems
American Society of Civil Engineers
American Society of Civil Engineers in the UK seeks a Senior Embedded Software Engineer to lead embedded firmware development in C/C++ for 32-bit microcontrollers used in vehicle environments. You'll work across CAN bus networks, RTOS drivers and in-vehicle diagnostics, with hands-on bench, lab and real vehicle testing. The role expects a track record of delivering complex embedded systems, mentoring junior engineers, and shaping architecture through to proving the software in operational
26/07/2026
Full time
American Society of Civil Engineers in the UK seeks a Senior Embedded Software Engineer to lead embedded firmware development in C/C++ for 32-bit microcontrollers used in vehicle environments. You'll work across CAN bus networks, RTOS drivers and in-vehicle diagnostics, with hands-on bench, lab and real vehicle testing. The role expects a track record of delivering complex embedded systems, mentoring junior engineers, and shaping architecture through to proving the software in operational
QA Engineer Senior
Flipper
Hi! This is the Flipper team. We are the creators of Flipper Zero - a portable device for tech enthusiasts and engineers. It's a gadget with an awesome community that brings together millions of people around the world. We're building a new product - Flipper One. It's a full-featured ARM-based computer running Linux in a compact form factor, powered by the Rockchip RK3576 SoC. We're looking for a QA Engineer to ensure the quality of Flipper One by combining automated and hands on hardware testing. You'll work closely with the firmware team to build reliable test automation while validating the product on real devices in our London office. Responsibilities: Design, develop, and maintain automated test suites for Flipper One using Python-based testing frameworks Validate firmware and software functionality on real hardware, identifying defects and ensuring reliable product behavior Create and improve test scenarios and test documentation to increase coverage and support the development process Investigate Linux system behavior, collect logs, analyze failures, and help engineers reproduce and resolve issues Requirements: Deep practical experience with Linux: shell, systemd/services, logs, permissions, networking, processes, cron, SSH, package managers Ability to write Bash scripts and use standard Linux tools: grep, awk, sed, curl, journalctl, netstat/ss, top/htop, ps, lsof, tcpdump or similar Understanding of networking stack at TCP/IP level: Ethernet, IP, TCP/UDP, routing, sockets, ports, DNS, DHCP, ARP, MTU, packet loss, retransmissions, latency, timeouts, and connection states Ability to work from our London office, especially during the initial stage of the project Nice-to-haves: Experience with IoT, embedded, networking, telecom, infrastructure, cloud, or device-related systems Experience with tools such as ModemManager, NetworkManager, mmcli, nmcli, QMI/MBIM, or AT commands What we offer: Workplace in our own stand-alone office located in Design District, London, near North Greenwich Station (Jubilee line). You will be provided with all the necessary equipment for a comfortable working environment. Benefits such as VHI, corporate sports, foreign language courses, and therapy sessions. A five-day workweek with a flexible start of the working day.
26/07/2026
Full time
Hi! This is the Flipper team. We are the creators of Flipper Zero - a portable device for tech enthusiasts and engineers. It's a gadget with an awesome community that brings together millions of people around the world. We're building a new product - Flipper One. It's a full-featured ARM-based computer running Linux in a compact form factor, powered by the Rockchip RK3576 SoC. We're looking for a QA Engineer to ensure the quality of Flipper One by combining automated and hands on hardware testing. You'll work closely with the firmware team to build reliable test automation while validating the product on real devices in our London office. Responsibilities: Design, develop, and maintain automated test suites for Flipper One using Python-based testing frameworks Validate firmware and software functionality on real hardware, identifying defects and ensuring reliable product behavior Create and improve test scenarios and test documentation to increase coverage and support the development process Investigate Linux system behavior, collect logs, analyze failures, and help engineers reproduce and resolve issues Requirements: Deep practical experience with Linux: shell, systemd/services, logs, permissions, networking, processes, cron, SSH, package managers Ability to write Bash scripts and use standard Linux tools: grep, awk, sed, curl, journalctl, netstat/ss, top/htop, ps, lsof, tcpdump or similar Understanding of networking stack at TCP/IP level: Ethernet, IP, TCP/UDP, routing, sockets, ports, DNS, DHCP, ARP, MTU, packet loss, retransmissions, latency, timeouts, and connection states Ability to work from our London office, especially during the initial stage of the project Nice-to-haves: Experience with IoT, embedded, networking, telecom, infrastructure, cloud, or device-related systems Experience with tools such as ModemManager, NetworkManager, mmcli, nmcli, QMI/MBIM, or AT commands What we offer: Workplace in our own stand-alone office located in Design District, London, near North Greenwich Station (Jubilee line). You will be provided with all the necessary equipment for a comfortable working environment. Benefits such as VHI, corporate sports, foreign language courses, and therapy sessions. A five-day workweek with a flexible start of the working day.
Senior Firmware Engineer
ASSA ABLOY Sicherheitstechnik GmbH Cardiff, South Glamorgan
An Amazing Career Opportunity for a Senior Firmware Engineer Location: Cardiff UK Job ID: 49556 A skilled senior engineer with firmware development and debugging skills is required for our design center in Cardiff. Working in a small, versatile team, the candidate's work will be involved in product design and sustaining activities on a range of PACS RFID access control products which are sold worldwide. The candidate needs to be able to effectively manage their time to support work on a variety of products at different stages of the product's lifecycle, and to be able to collaborate well with colleagues from different departments both onsite and overseas. Occasional travel may be required. Who are we? HID powers the trusted identities of the world's people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here: and Physical Access Control Solutions (PACS): HID Physical Access Control Solutions (PACS) is at the forefront of securing spaces with advanced, reliable access control solutions. From cutting-edge readers, credentials and controllers, to mobile and biometric technologies, HID PACS empowers organizations worldwide to protect their people, property and assets with scalable, high-quality solutions. This is more than just a job - it's your chance to join an industry leader to drive innovation in access control and make a real impact on global security solutions. Responsibilities Implementation of embedded firmware designs and test solutions primarily in C and C# Implementation of cryptographic solutions. Creation of design documentation. Practical hands-on experience working with and debugging embedded systems. Working in a team environment. Ability to complete design related tasks with minimal supervision. Education and/or Experience Ability to verify product software requirements. Engineering degree or equivalent or suitable experience. Minimum of 4+ years of related industry experience. Ability to understand, maintain and create designs from stories/user/stakeholder requirements. Ability to provide technical solutions to mid-to-high complexity issues. Good working knowledge of low programming languages (C/C#) and scripting. Familiar with many low-level developer techniques. TDD Unit test approach. Familiar with CI/CD techniques. Able to demonstrate experience with software version control. Able to demonstrate experience with the FW/SW development progress. Able to use standard development software: debuggers, editors, compilers. Understanding of cryptographic solutions including symmetric & PKI asymmetric Additional beneficial skills/experience Smart Card ISO7816 and RFID ISO 14443/15593 protocols. I2C and SPI protocols. USB low level protocols. Cryptographic code programming. Jenkins automation server/client programming. NUnit test framework. Bluetooth Low Energy protocol. Scripting languages e.g. Python. CMock unit testing. Implementation experience of cryptographic solutions including symmetric & ideally PKI asymmetric. Education and Experience Education and/or Experience Ability to verify product software requirements. Engineering degree or equivalent or suitable experience. Minimum of 4+ years of related industry experience. Ability to understand, maintain and create designs from stories/user/stakeholder requirements. Ability to provide technical solutions to mid-to-high complexity issues. What we can offer you Competitive salary and rewards package. Competitive benefits and annual leave offering, allowing for work-life balance. A vibrant, welcoming & inclusive culture. Extensive career development opportunities and resources to maximize your potential. To be a part of a global organization that is pioneering the hardware, software and services that allow people to confidently navigate the physical and digital worlds. We welcome an opportunity to meet you and learn about your unique unique talents, skills, and experiences. We are committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic. Our goal is to create a workplace that empowers everyone to thrive and be their authentic selves, fostering an environment of mutual respect and inclusivity. If you have a disability and require assistance or accommodation to participate in the application process or to perform essential job functions, please contact . Immigration Sponsorship Not Available Applicants for this position must be currently and legally authorized to reside and work in the hiring country. HID Global will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the hiring country will not be considered. HID is certified as a Great Place to Work in the UK, reflecting employee feedback on trust, collaboration, and workplace culture. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go - without having to think about it. When you join our HID team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
26/07/2026
Full time
An Amazing Career Opportunity for a Senior Firmware Engineer Location: Cardiff UK Job ID: 49556 A skilled senior engineer with firmware development and debugging skills is required for our design center in Cardiff. Working in a small, versatile team, the candidate's work will be involved in product design and sustaining activities on a range of PACS RFID access control products which are sold worldwide. The candidate needs to be able to effectively manage their time to support work on a variety of products at different stages of the product's lifecycle, and to be able to collaborate well with colleagues from different departments both onsite and overseas. Occasional travel may be required. Who are we? HID powers the trusted identities of the world's people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here: and Physical Access Control Solutions (PACS): HID Physical Access Control Solutions (PACS) is at the forefront of securing spaces with advanced, reliable access control solutions. From cutting-edge readers, credentials and controllers, to mobile and biometric technologies, HID PACS empowers organizations worldwide to protect their people, property and assets with scalable, high-quality solutions. This is more than just a job - it's your chance to join an industry leader to drive innovation in access control and make a real impact on global security solutions. Responsibilities Implementation of embedded firmware designs and test solutions primarily in C and C# Implementation of cryptographic solutions. Creation of design documentation. Practical hands-on experience working with and debugging embedded systems. Working in a team environment. Ability to complete design related tasks with minimal supervision. Education and/or Experience Ability to verify product software requirements. Engineering degree or equivalent or suitable experience. Minimum of 4+ years of related industry experience. Ability to understand, maintain and create designs from stories/user/stakeholder requirements. Ability to provide technical solutions to mid-to-high complexity issues. Good working knowledge of low programming languages (C/C#) and scripting. Familiar with many low-level developer techniques. TDD Unit test approach. Familiar with CI/CD techniques. Able to demonstrate experience with software version control. Able to demonstrate experience with the FW/SW development progress. Able to use standard development software: debuggers, editors, compilers. Understanding of cryptographic solutions including symmetric & PKI asymmetric Additional beneficial skills/experience Smart Card ISO7816 and RFID ISO 14443/15593 protocols. I2C and SPI protocols. USB low level protocols. Cryptographic code programming. Jenkins automation server/client programming. NUnit test framework. Bluetooth Low Energy protocol. Scripting languages e.g. Python. CMock unit testing. Implementation experience of cryptographic solutions including symmetric & ideally PKI asymmetric. Education and Experience Education and/or Experience Ability to verify product software requirements. Engineering degree or equivalent or suitable experience. Minimum of 4+ years of related industry experience. Ability to understand, maintain and create designs from stories/user/stakeholder requirements. Ability to provide technical solutions to mid-to-high complexity issues. What we can offer you Competitive salary and rewards package. Competitive benefits and annual leave offering, allowing for work-life balance. A vibrant, welcoming & inclusive culture. Extensive career development opportunities and resources to maximize your potential. To be a part of a global organization that is pioneering the hardware, software and services that allow people to confidently navigate the physical and digital worlds. We welcome an opportunity to meet you and learn about your unique unique talents, skills, and experiences. We are committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic. Our goal is to create a workplace that empowers everyone to thrive and be their authentic selves, fostering an environment of mutual respect and inclusivity. If you have a disability and require assistance or accommodation to participate in the application process or to perform essential job functions, please contact . Immigration Sponsorship Not Available Applicants for this position must be currently and legally authorized to reside and work in the hiring country. HID Global will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the hiring country will not be considered. HID is certified as a Great Place to Work in the UK, reflecting employee feedback on trust, collaboration, and workplace culture. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go - without having to think about it. When you join our HID team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
Business Development Manager (EMEA)
Greenliant
The business development manager (EMEA) is responsible for driving sales revenue in the EMEA region while increasing the company's solid-state drive (SSD) market share, profitability and strategic value. This key position requires strong knowledge of the semiconductor industry and embedded markets along with a proven track record of consistent sales and business development success in managing large territories. Strong ability to work with customers' program managers, engineers, procurement teams and senior management to secure new design wins for Greenliant products on a regular basis.Technical and market understanding of SSDs, memory cards and BGA SSDs (eMMC, PATA, SATA, NVMe/PCIe, UFS) in embedded systems is a plus. High-level knowledge of the competitive landscape and familiarity with different memory and storage interfaces, protocols and standards is ideal. Requirements Key Competency Requirements: Lead territory sales to achieve business goals including revenue, gross profit and market share. Maintain major account management and consistently develop new profitable opportunities through lead generation, cross-selling and upselling. Drive sales representative companies to meet quarterly and annual sales objectives. Work on sales channel programs and collaborate with regional distribution headquarters. Work closely with application engineering to address customer inquiries for technical support. Collaborate with Greenliant's marketing team for regular product training for sales channels and trade show participation.Provide monthly, quarterly and annual sales forecasts. Education/Experience Requirements: Five or more years of experience in sales or marketing in the semiconductor or electronics industry. Prior work experience with a memory, NAND flash or SSD company preferred.General market knowledge of embedded systems companies in industrial, networking, automotive, transportation, military-aerospace, video and security segments is desirable. Experience working with major distributors such as Avnet, Arrow, Future, Digi-Key and Mouser is a plus. Familiarity with Microsoft Excel, Word, PowerPoint, Outlook and CRM or sales force management software tools. Strategic forecast planning and strong attention to report data accuracy. Excellent teamwork and communication skills. Willingness to travel up to 25%. Education Bachelor's degree or equivalent experience required.
26/07/2026
Full time
The business development manager (EMEA) is responsible for driving sales revenue in the EMEA region while increasing the company's solid-state drive (SSD) market share, profitability and strategic value. This key position requires strong knowledge of the semiconductor industry and embedded markets along with a proven track record of consistent sales and business development success in managing large territories. Strong ability to work with customers' program managers, engineers, procurement teams and senior management to secure new design wins for Greenliant products on a regular basis.Technical and market understanding of SSDs, memory cards and BGA SSDs (eMMC, PATA, SATA, NVMe/PCIe, UFS) in embedded systems is a plus. High-level knowledge of the competitive landscape and familiarity with different memory and storage interfaces, protocols and standards is ideal. Requirements Key Competency Requirements: Lead territory sales to achieve business goals including revenue, gross profit and market share. Maintain major account management and consistently develop new profitable opportunities through lead generation, cross-selling and upselling. Drive sales representative companies to meet quarterly and annual sales objectives. Work on sales channel programs and collaborate with regional distribution headquarters. Work closely with application engineering to address customer inquiries for technical support. Collaborate with Greenliant's marketing team for regular product training for sales channels and trade show participation.Provide monthly, quarterly and annual sales forecasts. Education/Experience Requirements: Five or more years of experience in sales or marketing in the semiconductor or electronics industry. Prior work experience with a memory, NAND flash or SSD company preferred.General market knowledge of embedded systems companies in industrial, networking, automotive, transportation, military-aerospace, video and security segments is desirable. Experience working with major distributors such as Avnet, Arrow, Future, Digi-Key and Mouser is a plus. Familiarity with Microsoft Excel, Word, PowerPoint, Outlook and CRM or sales force management software tools. Strategic forecast planning and strong attention to report data accuracy. Excellent teamwork and communication skills. Willingness to travel up to 25%. Education Bachelor's degree or equivalent experience required.
Redline Group Ltd
Principal Software Engineer
Redline Group Ltd Beaconsfield, Buckinghamshire
Are you looking for a fantastic Principal Software Engineer opportunity in High Wycombe? If so, my client is currently recruiting for a Principal Software Engineer to join their R&D site in High Wycombe, Buckinghamshire. My client designs and manufactures a range of products and systems focusing on instrumentation, but you do need a strong background in embedded software and architecture. Main Requirements You will be responsible for the software architecture for their products/systems. You will have a strong Agile/Scrum background. Must have excellent C/C++ and C# programming skills. Physics orientated background. Responsibilities The role will be responsible for design and architecture of software for new and existing products. This is a senior role requiring a design-to-launch product ownership and a system-wide perspective. You will have software development skills sufficient to help drive the technology roadmap, author high level specifications and contribute to software delivery. You will take on some hands on software design work. But your broad role will be to own the architecture/vision for the product/system and ensure that what is designed fits the initial brief. So, you will provide technical leadership to the software team/group. But won't have any line management responsibility. This is a fantastic opportunity to join a world leader in their industry offering excellent career prospects and a great working environment.
26/07/2026
Full time
Are you looking for a fantastic Principal Software Engineer opportunity in High Wycombe? If so, my client is currently recruiting for a Principal Software Engineer to join their R&D site in High Wycombe, Buckinghamshire. My client designs and manufactures a range of products and systems focusing on instrumentation, but you do need a strong background in embedded software and architecture. Main Requirements You will be responsible for the software architecture for their products/systems. You will have a strong Agile/Scrum background. Must have excellent C/C++ and C# programming skills. Physics orientated background. Responsibilities The role will be responsible for design and architecture of software for new and existing products. This is a senior role requiring a design-to-launch product ownership and a system-wide perspective. You will have software development skills sufficient to help drive the technology roadmap, author high level specifications and contribute to software delivery. You will take on some hands on software design work. But your broad role will be to own the architecture/vision for the product/system and ensure that what is designed fits the initial brief. So, you will provide technical leadership to the software team/group. But won't have any line management responsibility. This is a fantastic opportunity to join a world leader in their industry offering excellent career prospects and a great working environment.
Senior Firmware Engineer
Chemify Ltd
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Location: Glasgow, UK (hybrid) The Role We are seeking a Senior Firmware Engineer to own the embedded firmware that drives the robotic modules at the heart of our platform - the pumps, valves, sensors, and motion systems that physically carry out chemistry. You will take firmware from architecture through to robust, production-grade code running across our fleet of robotic systems, working closely with electronics, mechanical, and platform-software engineers. What sets this role apart is how close to the chemistry you will be: the firmware you write is the layer where code becomes physical motion and real reactions - and as a senior engineer you will shape how that layer is built. If owning embedded firmware on a platform that makes molecules sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Architect, develop, test, and maintain embedded firmware for instrument and robotics modules. Own firmware for subsystems end to end - from requirements and design through bring-up, validation, and production. Work close to the metal: microcontrollers, motion control, sensors, actuators, and communication buses. Partner with electronics engineers on board bring up and hardware/firmware interfaces, and with platform-software on higher level control. Drive firmware quality: testing, code review, CI for embedded, and robust real time behaviour. Mentor junior firmware engineers and help set the team's embedded standards and practices. About You You are an experienced embedded engineer who likes owning firmware from architecture to hardware on the bench. You care about robustness in the real world - where a missed edge case means a stalled robot, not just a failed test - and you raise the bar for the people around you. We expect you to bring: 5+ years developing embedded/firmware for electromechanical or robotic systems, including production grade work. Strong C/C++ (and ideally Python for tooling/test), with solid embedded fundamentals. Deep understanding of microcontrollers, real time behaviour, interrupts, timers, and communication buses (I C, SPI, UART, CAN). Hands on bring up and debugging across the firmware/hardware boundary (oscilloscope, logic analyser), with a methodical approach to root cause. Experience owning firmware subsystems end to end and lifting the people around you. Beneficial Skills Familiarity with hardware design and reading schematics, and close collaboration with electronics engineers. Exposure to robotics, lab instrumentation, or other precision electromechanical systems. Embedded CI/test infrastructure and firmware update/bootloader design. Why Join Chemify? Impact. Your firmware is where digital instructions become physical chemistry - the robotic modules you bring to life run real experiments in the Chemifarm. Autonomy. You will own firmware subsystems across the platform and shape how we build embedded software. Ambition. We are a Series B deep tech company at the frontier of chemistry, robotics, and AI - with the resources and mandate to build embedded systems for a platform unlike anything else.
26/07/2026
Full time
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Location: Glasgow, UK (hybrid) The Role We are seeking a Senior Firmware Engineer to own the embedded firmware that drives the robotic modules at the heart of our platform - the pumps, valves, sensors, and motion systems that physically carry out chemistry. You will take firmware from architecture through to robust, production-grade code running across our fleet of robotic systems, working closely with electronics, mechanical, and platform-software engineers. What sets this role apart is how close to the chemistry you will be: the firmware you write is the layer where code becomes physical motion and real reactions - and as a senior engineer you will shape how that layer is built. If owning embedded firmware on a platform that makes molecules sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Architect, develop, test, and maintain embedded firmware for instrument and robotics modules. Own firmware for subsystems end to end - from requirements and design through bring-up, validation, and production. Work close to the metal: microcontrollers, motion control, sensors, actuators, and communication buses. Partner with electronics engineers on board bring up and hardware/firmware interfaces, and with platform-software on higher level control. Drive firmware quality: testing, code review, CI for embedded, and robust real time behaviour. Mentor junior firmware engineers and help set the team's embedded standards and practices. About You You are an experienced embedded engineer who likes owning firmware from architecture to hardware on the bench. You care about robustness in the real world - where a missed edge case means a stalled robot, not just a failed test - and you raise the bar for the people around you. We expect you to bring: 5+ years developing embedded/firmware for electromechanical or robotic systems, including production grade work. Strong C/C++ (and ideally Python for tooling/test), with solid embedded fundamentals. Deep understanding of microcontrollers, real time behaviour, interrupts, timers, and communication buses (I C, SPI, UART, CAN). Hands on bring up and debugging across the firmware/hardware boundary (oscilloscope, logic analyser), with a methodical approach to root cause. Experience owning firmware subsystems end to end and lifting the people around you. Beneficial Skills Familiarity with hardware design and reading schematics, and close collaboration with electronics engineers. Exposure to robotics, lab instrumentation, or other precision electromechanical systems. Embedded CI/test infrastructure and firmware update/bootloader design. Why Join Chemify? Impact. Your firmware is where digital instructions become physical chemistry - the robotic modules you bring to life run real experiments in the Chemifarm. Autonomy. You will own firmware subsystems across the platform and shape how we build embedded software. Ambition. We are a Series B deep tech company at the frontier of chemistry, robotics, and AI - with the resources and mandate to build embedded systems for a platform unlike anything else.
Senior automation and AI engineer
Seccl Edinburgh, Midlothian
Flexible hybrid - one day per week in Bath, London or Edinburgh About us Seccl is the Octopus-owned embedded investment platform that's on a mission to helping more people to invest - and invest well. We're B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We're also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role We're looking for a Senior automation engineer to join our Automation & AI Enablement team. Reporting to an Engineering manager, you'll work closely with colleagues across engineering, product, operations and our customer-facing teams to identify complex operational problems and create simpler, faster and more scalable ways of working. The team helps Seccl make better use of automation and AI as we continue to grow. You'll get under the skin of ambiguous processes, design improved workflows and build practical solutions using the right tool for the problem - whether that's TypeScript, Python, an agentic system or a low-code platform such as Zapier or Microsoft Power Platform. You'll take ownership from initial discovery through to delivery and operation, balancing speed, quality and long term maintainability. On a typical day you will be Working with engineering, product, operations and customer-facing teams to uncover inefficient, manual or unclear processes Turning ambiguous business problems into well-designed, scalable automated workflows Choosing the right tool for each problem, from TypeScript or Python to LLMs, agentic systems and low-code platforms Designing, building, testing and operating reliable automation and AI-enabled services Applying appropriate quality gates, guardrails and human oversight to AI-driven workflows Owning your solutions throughout their lifecycle, including documentation, observability, support and continuous improvement Evaluating emerging LLM models, agentic tools and automation approaches based on their practical benefits and trade-offs Sharing your knowledge and helping other engineers and teams adopt effective automation practices This role's for you if You have strong commercial experience with TypeScript or Python and are willing to learn whichever language is less familiar to you - TypeScript experience is slightly preferred You have experience writing or using agentic harnesses for software development and understand how to assess different orchestration approaches You understand the current frontier LLM landscape, its applications in software engineering and challenges such as hallucination, prompt injection, privacy, cost and latency You're comfortable choosing the right tool for the job, including low-code platforms such as Zapier or Microsoft Power Platform when custom code isn't the best answer You have an enablement mindset and naturally seek out ambiguity, inefficient processes and opportunities to design better ways of working You're a hands on builder who wants to understand a problem deeply, build the solution and remain accountable for running and improving it You understand how to make automation and AI-enabled systems reliable through testing, observability, validation, guardrails and human in the loop review You have experience working with cloud-based systems - AWS, serverless technologies, regulated industries or financial services experience is desirable This role isn't for you if You rely on a lot of top down direction. Here, you'll have a lot of freedom and ownership of your role, and you'll be expected to shape your own progression You're not comfortable working in a fast paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen You don't like change. You'll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty What's in it for you We offer a generous mix of benefits for the things that really matter to our people, including: A salary between £75,000 and £90,000 dependant on experience + reviewed annually 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave Two volunteering days per year Option to work abroad for up to six weeks a year Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget Length of service award - one month paid sabbatical at eight years 6% employer pension contribution, and life assurance Private medical insurance with AXA Health Enhanced Parental leave MacBook and up to £500 home office set up budget £750 per person learning budget Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace Strong financial wellbeing focus including access to Octopus Money, Octopus Share Incentive Plan and will writing offering via Octopus Legacy Perkbox - Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing Our culture We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation. Check out our Glassdoor page for the latest reviews or our LinkedIn for company updates and insights from the team. Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this, (following an initial chat with one of our Talent team): First stage - 45 mins competencies-based interview with the hiring manager Second stage - two-hour technical interview or assessment Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
26/07/2026
Full time
Flexible hybrid - one day per week in Bath, London or Edinburgh About us Seccl is the Octopus-owned embedded investment platform that's on a mission to helping more people to invest - and invest well. We're B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We're also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role We're looking for a Senior automation engineer to join our Automation & AI Enablement team. Reporting to an Engineering manager, you'll work closely with colleagues across engineering, product, operations and our customer-facing teams to identify complex operational problems and create simpler, faster and more scalable ways of working. The team helps Seccl make better use of automation and AI as we continue to grow. You'll get under the skin of ambiguous processes, design improved workflows and build practical solutions using the right tool for the problem - whether that's TypeScript, Python, an agentic system or a low-code platform such as Zapier or Microsoft Power Platform. You'll take ownership from initial discovery through to delivery and operation, balancing speed, quality and long term maintainability. On a typical day you will be Working with engineering, product, operations and customer-facing teams to uncover inefficient, manual or unclear processes Turning ambiguous business problems into well-designed, scalable automated workflows Choosing the right tool for each problem, from TypeScript or Python to LLMs, agentic systems and low-code platforms Designing, building, testing and operating reliable automation and AI-enabled services Applying appropriate quality gates, guardrails and human oversight to AI-driven workflows Owning your solutions throughout their lifecycle, including documentation, observability, support and continuous improvement Evaluating emerging LLM models, agentic tools and automation approaches based on their practical benefits and trade-offs Sharing your knowledge and helping other engineers and teams adopt effective automation practices This role's for you if You have strong commercial experience with TypeScript or Python and are willing to learn whichever language is less familiar to you - TypeScript experience is slightly preferred You have experience writing or using agentic harnesses for software development and understand how to assess different orchestration approaches You understand the current frontier LLM landscape, its applications in software engineering and challenges such as hallucination, prompt injection, privacy, cost and latency You're comfortable choosing the right tool for the job, including low-code platforms such as Zapier or Microsoft Power Platform when custom code isn't the best answer You have an enablement mindset and naturally seek out ambiguity, inefficient processes and opportunities to design better ways of working You're a hands on builder who wants to understand a problem deeply, build the solution and remain accountable for running and improving it You understand how to make automation and AI-enabled systems reliable through testing, observability, validation, guardrails and human in the loop review You have experience working with cloud-based systems - AWS, serverless technologies, regulated industries or financial services experience is desirable This role isn't for you if You rely on a lot of top down direction. Here, you'll have a lot of freedom and ownership of your role, and you'll be expected to shape your own progression You're not comfortable working in a fast paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen You don't like change. You'll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty What's in it for you We offer a generous mix of benefits for the things that really matter to our people, including: A salary between £75,000 and £90,000 dependant on experience + reviewed annually 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave Two volunteering days per year Option to work abroad for up to six weeks a year Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget Length of service award - one month paid sabbatical at eight years 6% employer pension contribution, and life assurance Private medical insurance with AXA Health Enhanced Parental leave MacBook and up to £500 home office set up budget £750 per person learning budget Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace Strong financial wellbeing focus including access to Octopus Money, Octopus Share Incentive Plan and will writing offering via Octopus Legacy Perkbox - Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing Our culture We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation. Check out our Glassdoor page for the latest reviews or our LinkedIn for company updates and insights from the team. Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this, (following an initial chat with one of our Talent team): First stage - 45 mins competencies-based interview with the hiring manager Second stage - two-hour technical interview or assessment Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
Senior Embedded Firmware Engineer - Own Robotic Chemistry
Chemify Ltd
Chemify Ltd in Glasgow is seeking a Senior Firmware Engineer to own the embedded firmware that drives our robotic modules-the pumps, valves, sensors, and motion systems that physically carry out chemistry. You will take firmware from architecture through production, working closely with electronics, mechanical, and platform-software engineers. This role places you at the boundary where code becomes real motion and reactions, shaping the layer that turns digital instructions into tangible
26/07/2026
Full time
Chemify Ltd in Glasgow is seeking a Senior Firmware Engineer to own the embedded firmware that drives our robotic modules-the pumps, valves, sensors, and motion systems that physically carry out chemistry. You will take firmware from architecture through production, working closely with electronics, mechanical, and platform-software engineers. This role places you at the boundary where code becomes real motion and reactions, shaping the layer that turns digital instructions into tangible
Digital Waffle
Senior AI Automation Engineer
Digital Waffle Birmingham, Staffordshire
Role: Senior AI Automation EngineerLocation: London or Birmingham - Hybrid WorkingSalary: £80,000 - £120,000 - Depending on experienceType: Permanent Build AI Solutions That Drive Real-World Change I am partnering with a large, forward-thinking organisation investing heavily inArtificial Intelligence, automation, and digital transformation. As part of a growing technology team, you'll play a key role in designing andbuilding intelligent solutions that streamline operations, enhance productivity,and solve complex business challenges. This is an opportunity to work oncutting-edge AI initiatives that are rapidly moving from concept to production,delivering measurable impact across the organisation. This role offers the chance to work on enterprise-scale AI projects, collaboratewith talented technical professionals, and build solutions that are used bythousands of colleagues. The Opportunity: I'm looking for an experienced AI Automation Engineer to help develop and deployintelligent automation capabilities across a broad range of business processes. You'll combine software engineering principles with AI technologies to buildscalable, secure, and maintainable solutions. Working closely with technicalspecialists and business stakeholders, you'll help shape how AI is adopted andembedded across the organisation. Key Responsibilities: Design, develop, and deploy AI-powered agents and automated workflows. Build Python-based applications, services, and automation solutions. Create integrations between AI platforms and enterprise systems. Develop scalable APIs, reusable services, and automation frameworks. Build and maintain workflows using modern AI and automation technologies. Support cloud-based deployments and application lifecycle management. Contribute to CI/CD pipelines, testing frameworks, and engineering best practices. Monitor, optimise, and enhance production solutions. Collaborate with stakeholders to translate requirements into technical solutions. Participate in architecture discussions, technical reviews, and continuous improvement initiatives. About You: I am interested in speaking with engineers who combine strong technicalcapability with a genuine passion for innovation. You'll bring: Strong Python development experience. Experience developing production-grade software solutions. Experience building AI, LLM, automation, or agent-based applications. Knowledge of AI orchestration, workflow automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform experience, ideally within Azure or similar environments. Understanding of containerisation and modern deployment practices. Experience working with CI/CD pipelines and agile delivery methodologies. Strong problem-solving and analytical skills. Excellent communication and stakeholder engagement abilities. A proactive mindset with a passion for learning and continuous improvement.
26/07/2026
Full time
Role: Senior AI Automation EngineerLocation: London or Birmingham - Hybrid WorkingSalary: £80,000 - £120,000 - Depending on experienceType: Permanent Build AI Solutions That Drive Real-World Change I am partnering with a large, forward-thinking organisation investing heavily inArtificial Intelligence, automation, and digital transformation. As part of a growing technology team, you'll play a key role in designing andbuilding intelligent solutions that streamline operations, enhance productivity,and solve complex business challenges. This is an opportunity to work oncutting-edge AI initiatives that are rapidly moving from concept to production,delivering measurable impact across the organisation. This role offers the chance to work on enterprise-scale AI projects, collaboratewith talented technical professionals, and build solutions that are used bythousands of colleagues. The Opportunity: I'm looking for an experienced AI Automation Engineer to help develop and deployintelligent automation capabilities across a broad range of business processes. You'll combine software engineering principles with AI technologies to buildscalable, secure, and maintainable solutions. Working closely with technicalspecialists and business stakeholders, you'll help shape how AI is adopted andembedded across the organisation. Key Responsibilities: Design, develop, and deploy AI-powered agents and automated workflows. Build Python-based applications, services, and automation solutions. Create integrations between AI platforms and enterprise systems. Develop scalable APIs, reusable services, and automation frameworks. Build and maintain workflows using modern AI and automation technologies. Support cloud-based deployments and application lifecycle management. Contribute to CI/CD pipelines, testing frameworks, and engineering best practices. Monitor, optimise, and enhance production solutions. Collaborate with stakeholders to translate requirements into technical solutions. Participate in architecture discussions, technical reviews, and continuous improvement initiatives. About You: I am interested in speaking with engineers who combine strong technicalcapability with a genuine passion for innovation. You'll bring: Strong Python development experience. Experience developing production-grade software solutions. Experience building AI, LLM, automation, or agent-based applications. Knowledge of AI orchestration, workflow automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform experience, ideally within Azure or similar environments. Understanding of containerisation and modern deployment practices. Experience working with CI/CD pipelines and agile delivery methodologies. Strong problem-solving and analytical skills. Excellent communication and stakeholder engagement abilities. A proactive mindset with a passion for learning and continuous improvement.
NES Fircroft
Senior AI Engineer
NES Fircroft
Senior AI Engineer - 12 Months Contract - Canary Wharf Hybrid Start ASAP 40 Hour week Inside IR35 Required:- 5+ years of professional software engineering experience; ability to independently design & ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, & backend systems. Strong problem-solving skills & the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), & modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents & crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, & operational excellence. Senior AI Engineer preferred experience Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents & systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) & transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. Experience building production grade, reliable AI applications My client is looking for a Senior AI Engineer who think holistically, automate relentlessly, & are fluent in the fast-moving world of AI tooling & infrastructure-but grounded in disciplined engineering principles.My client's AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you'll play a critical role in building & deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical & scalable ways. Looking for individuals who thrive at the intersection of disciplined software development & modern AI applications. You should be comfortable working across the full lifecycle of a product-from ideation & architecture to deployment & automation-while navigating ambiguity & driving toward execution. Strong systems thinking, ownership mindset, & the ability to ship value fast are essential. Senior AI Engineer Job Responsibilities Design, develop, & maintain production-grade AI applications & services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define & implement foundational platforms & tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable & scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders to rapidly build & deploy AI solutions that solve high-priority business problems. Evaluate & integrate existing AI tools, frameworks, & APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data management ingestion & preprocessing to evaluation, to model integration & deployment. Collaborate with data scientists, product managers, & other engineers to ensure end-to-end delivery & reliability of AI products. Stay current with emerging AI technologies but prioritize practical application & delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, & documentation to scale AI engineering best practices across the organization. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining andManufacturingsectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
26/07/2026
Full time
Senior AI Engineer - 12 Months Contract - Canary Wharf Hybrid Start ASAP 40 Hour week Inside IR35 Required:- 5+ years of professional software engineering experience; ability to independently design & ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, & backend systems. Strong problem-solving skills & the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), & modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents & crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, & operational excellence. Senior AI Engineer preferred experience Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents & systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) & transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. Experience building production grade, reliable AI applications My client is looking for a Senior AI Engineer who think holistically, automate relentlessly, & are fluent in the fast-moving world of AI tooling & infrastructure-but grounded in disciplined engineering principles.My client's AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you'll play a critical role in building & deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical & scalable ways. Looking for individuals who thrive at the intersection of disciplined software development & modern AI applications. You should be comfortable working across the full lifecycle of a product-from ideation & architecture to deployment & automation-while navigating ambiguity & driving toward execution. Strong systems thinking, ownership mindset, & the ability to ship value fast are essential. Senior AI Engineer Job Responsibilities Design, develop, & maintain production-grade AI applications & services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define & implement foundational platforms & tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable & scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders to rapidly build & deploy AI solutions that solve high-priority business problems. Evaluate & integrate existing AI tools, frameworks, & APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data management ingestion & preprocessing to evaluation, to model integration & deployment. Collaborate with data scientists, product managers, & other engineers to ensure end-to-end delivery & reliability of AI products. Stay current with emerging AI technologies but prioritize practical application & delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, & documentation to scale AI engineering best practices across the organization. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining andManufacturingsectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Senior Programme Manager - Clara Innovation & Deployment
KPMG Careers
Senior Programme Manager - Clara Innovation & Deployment Summary of role purpose: The Senior Programme Manager, within the Innovation & Deployment team in Audit Technology is responsible for orchestrating the delivery of complex, cross-functional initiatives involving artificial intelligence and machine learning technologies. This role oversees programme governance, stakeholder alignment, and execution across the product lifecycle. Description of the role: Key Responsibilities Lead the successful delivery of technology portfolios, aligning programme milestones with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality and ethical compliance. Engage senior stakeholders across audit, risk, and IT to maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong advantage. Behavioural Attributes and Skills: Strategic leadership and ability to drive complex programmes aligned to business objectives. Exceptional stakeholder management, influencing, and communication skills. Strong programme governance, risk management, and decision-making capability. Ability to lead and motivate multidisciplinary teams across multiple locations. Highly organised with strong planning, prioritisation, and financial management skills. Collaborative, resilient, and adaptable with a continuous improvement mindset. Commitment to quality, ethical conduct, and responsible AI practices. Strong analytical, problem-solving, and change leadership capability. Experience in enterprise-scale AI/ML, data, or technology transformation programmes. Knowledge of audit, risk, compliance, or regulated environments. Qualifications: Bachelor's or Master's degree in a related field; programme management certifications required (PMP, MSP, Agile), multiple agile methodologies ideal; Lean Six Sigma certifications preferred. KPMG overview: KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients' and communities' biggest problems. We've been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility - through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference.
26/07/2026
Full time
Senior Programme Manager - Clara Innovation & Deployment Summary of role purpose: The Senior Programme Manager, within the Innovation & Deployment team in Audit Technology is responsible for orchestrating the delivery of complex, cross-functional initiatives involving artificial intelligence and machine learning technologies. This role oversees programme governance, stakeholder alignment, and execution across the product lifecycle. Description of the role: Key Responsibilities Lead the successful delivery of technology portfolios, aligning programme milestones with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality and ethical compliance. Engage senior stakeholders across audit, risk, and IT to maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong advantage. Behavioural Attributes and Skills: Strategic leadership and ability to drive complex programmes aligned to business objectives. Exceptional stakeholder management, influencing, and communication skills. Strong programme governance, risk management, and decision-making capability. Ability to lead and motivate multidisciplinary teams across multiple locations. Highly organised with strong planning, prioritisation, and financial management skills. Collaborative, resilient, and adaptable with a continuous improvement mindset. Commitment to quality, ethical conduct, and responsible AI practices. Strong analytical, problem-solving, and change leadership capability. Experience in enterprise-scale AI/ML, data, or technology transformation programmes. Knowledge of audit, risk, compliance, or regulated environments. Qualifications: Bachelor's or Master's degree in a related field; programme management certifications required (PMP, MSP, Agile), multiple agile methodologies ideal; Lean Six Sigma certifications preferred. KPMG overview: KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients' and communities' biggest problems. We've been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility - through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference.
Senior Consultant, Forward Deployed AI Engineer
慨正橡扯
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
26/07/2026
Full time
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.

Modal Window

  • Home
  • Contact
  • About Us
  • FAQs
  • Terms & Conditions
  • Privacy
  • Employer
  • Post a Job
  • Search Resumes
  • Sign in
  • Job Seeker
  • Find Jobs
  • Create Resume
  • Sign in
  • IT blog
  • Facebook
  • Twitter
  • LinkedIn
  • Youtube
© 2008-2026 IT Job Board