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Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role sits within our Saab Seaeye Business Unit. Responsible for leading and developing the Integration Team at Saab Seaeye as well as leading the integration, test and commissioning of our Saab Seaeye products in order to meet our contractual and business requirements. Key Responsibilities: To perform the duties of an Integration Engineer whilst acting as the technical authority for vehicle integration, system functionality and fault diagnosis. The role provides day-to-day technical leadership and mentoring to the Integration team, supporting the Team Leader in delivering safe, efficient and right-first-time integration, testing and commissioning activities. The Integration Systems Specialist will develop technical capability, maintain product knowledge and drive continuous improvement across current and future vehicle platforms. Technical leadership responsibilities: Be recognised as the technical authority for the Integration department, providing technical leadership during complex integration, acceptance testing and non-conformance resolution. Provide day-to-day technical guidance and mentoring to Integration Engineers, Technicians and Apprentices, fostering a culture of learning and knowledge sharing. Act as the first point of contact for complex assembly, integration and test issues, supporting the Team Leader with technical planning, risk identification and problem resolution. Promote best practice in electrical, mechanical and hydraulic integration techniques. Develop and maintain expert knowledge of Saab Seaeye vehicle systems, customer configurations and future product developments. Work closely with Engineering, Product Management and Customer Support to transfer product knowledge into manufacturing, identify recurring issues and drive improvements to reliability, manufacturability and serviceability. Lead technical investigations into complex faults and implement robust corrective actions. Work with Production Engineering to develop work instructions, technical guidance and structured training to build capability across the Integration team. Support Factory Acceptance Testing and customer demonstrations by ensuring systems and engineers are fully prepared. Integration Engineer responsibilities : Integrate, configure and test complete vehicle systems in accordance with customer specifications and company documentation. Diagnose and rectify electrical, electronic, hydraulic and mechanical faults, raising improvement opportunities through the Engineering Change process. Interpret engineering drawings, configuration documentation and technical information to support assembly, testing and commissioning. Provide customer support, Factory Acceptance Testing and offshore commissioning as required. Maintain high standards of quality, 6S, safety and professional conduct. Qualifications and Skills: HNC/HND (or equivalent) in Electrical, Electronic or Mechanical Engineering. Extensive experience integrating complex electro-mechanical systems. Expert knowledge of Saab Seaeye vehicle systems and associated support equipment. Excellent fault-finding and diagnostic skills across electrical, hydraulic and communication systems. Ability to interpret engineering drawings and technical documentation. Experience supporting Factory Acceptance Testing, offshore commissioning or customer support. Excellent communication, mentoring and coaching skills. Continuous improvement mind-set. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Our client requires an experienced Lead Software Engineer to deliver end-to-end software solutions for advanced electric drive systems. The supplier will lead the architecture, development, and technical delivery of robust, scalable embedded software across BSW and Application layers to support high-performance electric drive technologies from initial concept through to validation and production release. Key Deliverables & Scope of Services The Consultancy/Contractor will be responsible for producing the following project outcomes: Software Architecture & Design: Define, architect, and document scalable embedded software architectures aligned with system and product requirements for electric drive controllers (motor control, charging, DC-DC control, and diagnostics). Embedded Development: Write, review, and deliver high-quality embedded C code using model-based design, autocode generation, and manual coding techniques in accordance with MISRA C and ASPICE standards. Delivery & Governance: Establish software delivery milestones, maintain change control, manage software risk, and define version control / CI/CD pipeline strategies for the project. Hardware & System Integration: Lead software-hardware integration on embedded target hardware, HIL setups, and test dynamometers. Verification & Validation (V&V): Oversee and implement complete test strategies (unit, integration, and HIL testing) with full requirement-to-code traceability. Cross-Functional Collaboration: Coordinate with hardware, systems, and test engineering functions to define technical interfaces, requirements, and system-level root cause resolution. Compliance & Standards Support: Ensure all technical deliverables align with functional safety guidelines (ISO 26262), quality standards, and relevant regulatory frameworks. Essential Technical Expertise & Experience The ideal Contractor/PSC will demonstrate proven commercial expertise in: Embedded C software development and architecture for electric drive platforms, motor control, DC-DC, and inverter power electronics. Model-based software development (Simulink/Stateflow, TargetLink, or Embedded Coder) and manual embedded coding. Deep understanding of ASPICE processes, ISO 26262 functional safety standards, and MISRA C compliance. Defining software verification strategies, requirements traceability, and testing methodologies (Unit, HIL, Dynamometer, Bench). Configuration management, version control (Git), automated build setups, and continuous integration pipelines. Strong technical leadership capabilities to drive deliverables, guide technical decisions, and deliver project outcomes independently Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Overview We are seeking a Test Systems Engineer (focus on System Integration, Verification & Validation) to support the deployment, integration and validation of complex electromechanical systems across customer and satellite sites. This position is focused on field integration, operational deployment and mechanical systems integration rather than software development click apply for full job details

Engagement Type: Contract (Outside IR35) To support their expanding vehicle programs and next-generation product roadmap, our client is seeking a skilled Software Tools & Architecture Engineer on a contract basis. In this pivotal role, you will define, standardise, and enhance the client's end-to-end software development ecosystem. You will bridge the gap between embedded software platforms, model-based control environments, automated toolchains, and hardware verification platforms. You will be responsible for defining robust, scalable software architectures and introducing modern process automation, CI/CD pipelines, and toolchains aligned with ASPICE principles , Key Responsibilities Architectural Definition & Governance: Define, document, and maintain the end-to-end software architecture across embedded platforms, OS layers (RTOS/AUTOSAR), middleware, applications, and verification environments for electric drive systems. Ecosystem & Toolchain Automation: Design, configure, and maintain a unified automated development environment-including build systems, code generation, CI/CD pipelines, automated test execution, and HIL/SIL/MIL integration. Toolchain Integration: Specify and integrate core engineering tools across the lifecycle, seamlessly connecting MATLAB/Simulink, autocode generation (TargetLink/Embedded Coder), compilers, static analysis tools, calibration (XCP/INCA), diagnostics, and ALM/PLM systems. Process & ASPICE Alignment: Support the definition and rollout of software engineering processes, methods, and quality gates aligned with ASPICE levels and functional safety expectations. Shift-Left Quality & Verification: Implement automated defect detection, model-in-the-loop (MIL), software-in-the-loop (SIL), processor-in-the-loop (PIL), and hardware-in-the-loop (HIL) automated testing frameworks to catch defects early. Metrics & Analytics: Establish quality metrics, dashboards, and feedback loops to monitor build stability, code coverage, defect trends, process compliance, and delivery cycle times. Cross-Functional Collaboration: Act as the technical nexus between embedded software, controls, systems engineering, motor design, electronics, and validation teams to ensure tool compatibility and architectural consistency. Release Engineering: Ensure release readiness through end-to-end requirements traceability, version control discipline, automated release generation, and verification evidence gathering. Technical Skills & Qualifications Essential Experience Automotive Software Architecture: Proven track record defining scalable, maintainable, real-time embedded software architectures for automotive or electric powertrain/drive applications. Model-Based Development (MBD): Deep hands-on experience with MATLAB/Simulink, Stateflow, and automated code generation workflows. CI/CD & DevOps for Embedded Systems: Demonstrable experience building and maintaining automated software delivery pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) tailored for embedded C/C++ and MBD environments. Automotive Standards: Strong practical understanding of ASPICE process capability models and ISO 26262 functional safety requirements. Verification & Testing (X-in-the-Loop): Experience integrating MIL, SIL, PIL, and HIL (e.g., dSPACE, National Instruments, Vector) environments into continuous integration frameworks. Toolchain Mastery: Proficient with static/dynamic analysis tools (e.g., QAC, Coverity, Polyspace), version control (Git), issue tracking (Jira), and requirements tools (Doors/Jama). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

We are looking for an engineer to play a key role in providing technical, engineering support to Meta's Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta's Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads Products but also have the opportunity to work cross functionally in several of our key business areas across Business Messaging, Telecommunications and combine your experience with customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing and maintaining integrations with 3rd-party services, who help foster developer/business relationships, who demonstrate critical thinking and blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications to our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering excellenceLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven experience as a support engineer, service engineer, or similarBachelor's degree in Computer Science, Engineering, or related technical field experienceExperience in developing, deploying, and operating software in one or more public cloud infrastructures (Azure, GCP, AWS, etc.)Proven experience in API development on cloud-based infrastructuresProficiency in full-stack development with experience in the full web stack, SOAP, and REST API technologies and architecturesExperience in communicating with technical and business audiences and creating technical documentationSolid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocolsExperience in assessing, analyzing, and resolving operational issues using dataExperience managing multiple concurrent projects and driving initiatives in a cross-functional environmentPreferred Qualifications:Experience working across a global team, solving problems, and designing business operations from scratchExperience in partner-facing or customer-centric engineering rolesProficiency in PHP/Hack and JavaScript/ReactDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in the configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Experience with large-scale enterprise system developmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Job Title: Senior Embedded Systems Engineer Location: Leicestershire (Hybrid, 3 days onsite) Salary: Competitive DOE About the Role We are looking for an experienced Embedded Systems Engineer / Software Architect to join our engineering team. This is an opportunity to play a key role in defining the software architecture of complex embedded products, working at both the system and component level. You will be responsible for treating an embedded product as a collection of interconnected hardware modules, each with its own software components, and designing robust software architectures that enable these components to work together seamlessly. This role requires someone who can think strategically about embedded system design while remaining hands-on with implementation, integration and testing. Key Responsibilities Design and architect software for complex embedded systems comprising multiple hardware components. Define software architecture and interfaces between hardware and software modules. Evaluate different software and hardware interface options, providing clear technical reasoning and design justification. Develop integration strategies to ensure software components function together as a complete embedded product. Design comprehensive test strategies and test plans covering individual software components and full system integration. Work closely with hardware and software engineers throughout the product development lifecycle. Contribute to technical decision-making, architecture reviews and best engineering practices. Essential Skills & Experience Proven experience in an Embedded Systems Engineer , Software Architect , or similar senior embedded engineering role. Demonstrable experience architecting software for embedded products consisting of multiple hardware and software components. Strong C and C++ programming skills. Commercial Linux development experience. Experience evaluating hardware/software interfaces and making sound architectural decisions. Strong understanding of embedded software integration and system-level design. Experience developing structured software test plans and integration testing strategies. Excellent problem-solving and communication skills. Experience developing embedded IoT products. Please note, we cannot offer sponsorship for the role. If interested, please send over an updated CV.

We are seeking an Equity Quantitative Research Analyst to join our Equity Research team in London. In this role, you will work closely with senior research analysts and strategists to develop differentiated quantitative insights, stock-selection frameworks, and thematic research for institutional investors, including asset managers, pension funds, hedge funds, and sovereign wealth funds. The successful candidate will bring a unique blend of equity research, quantitative modelling, machine learning, and platform development expertise, with the ability to translate complex datasets into differentiated investment insights while driving innovation across the research process. The role is primarily focused on developing and enhancing proprietary quantitative models that integrate bottom-up fundamental analysis with macroeconomic insights, while also contributing to the expansion of scalable research tools, analytical frameworks, and infrastructure that support the production of client-facing research and institutional client engagement. Responsibilities Quantitative Equity Research & Alpha Modelling - Develop, enhance, and maintain quantitative models designed to identify investment opportunities across global equity markets. Conduct cross-sectional and time-series research on equity alpha generating ideas using a mixture of fundamental, technical, macro and alternative time series signals to generate actionable insights. Research & Publication Support - Contribute to the production of high-impact, client-facing research reports and regular near term tactical and thematic market updates. Translate complex quantitative findings into clear, compelling investment narratives for institutional investors. Data Infrastructure & Research Platform Development - Design, maintain, and evolve the quantitative equity research platform through the integration of agentic AI capabilities, advanced analytics, and scalable research infrastructure across market, fundamental, and alternative datasets. Develop automated workflows and intelligent research tools that enhance the end-to-end research process, from idea generation and signal discovery through to analysis, visualization, and publication. Client Analytics & Custom Research - Conduct bespoke quantitative analyses to support both internal and external stakeholders. Support client interactions by providing data-driven insights on factor performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education - Undergraduate degree with significant quantitative research experience or MSc/MEng / PHD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills - Highly proficient in programming (R/Python/Java) and the use of modern quantitative financial libraries and toolkits. Strong SQL skills are preferred. Familiarity with source control tooling (Git) and software engineering best practices is highly desirable. Quantitative & Market Knowledge - Strong understanding of equity market structure and investment processes, with expertise in cross-sectional and time-series modelling, factor research, and the application of statistical and machine learning techniques to investment research and alpha generation. Communication & Intellectual Curiosity - Excellent written and verbal communication skills, with the ability to communicate sophisticated quantitative concepts to both technical and non-technical audiences. Demonstrated passion for financial markets, investment research, and continuous innovation in quantitative methodologies. What We Offer Opportunities to grow your career locally and collaborate with colleagues across Citi's global network. A hybrid working model that balances in-office collaboration with remote flexibility. Investment in your professional development through training programmes, mentorship, and skill-building opportunities. Employee wellbeing support including medical coverage, mental health resources, parental leave, and family support programmes. Competitive retirement contributions and investment options to support your long-term financial goals. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, integrity and reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Research Job Family: Research Analysis Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.

AI Software Engineer, Firebase, GCP, COR7557A An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.

AI Engineer (.Net/AI) Location: Chester Hybrid Working Permanent - Full-time Salary: £50,000-£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment. The Role As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities will include: Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure. Building AI capabilities into enterprise applications and existing business processes. Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services. Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines, source control, automated testing and DevOps practices. Ensuring applications are secure, scalable, resilient and observable. Contributing to architecture, technical design and engineering standards. Working with stakeholders to understand business problems and translate them into effective software solutions. What We're Looking For Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering practices. Experience designing, building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control and automated testing. Experience building secure, scalable and maintainable production software. An interest in emerging AI technologies and how they can be applied to solve real business problems. You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices with some of the latest developments across Microsoft AI. If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.

Your Company: NET Recruit are delighted to be partnering with an established and highly respected provider of digital technology solutions who are seeking an experienced Network Engineer to join their team in a full-time, permanent capacity based in New Milton, with hybrid working available. This organisation has built a strong reputation for delivering innovative, mission-critical technology solutions that support vulnerable people across the UK. Operating at the forefront of digital transformation, they are playing a leading role in the transition to All IP services, developing secure and resilient network infrastructure that underpins essential communication and care services. Your Roles and Responsibilities: While in this position your duties may include but will not be limited to : Designing, deploying and maintaining resilient network infrastructure, including LAN, WAN, VLAN, Wi-Fi, DNS, DHCP and routing environments Providing advanced support for complex network and connectivity issues, identifying root causes and implementing long-term solutions using tools such as Wireshark, SIP tracing and packet capture Supporting and maintaining mission-critical SIP/VoIP communications and digital connectivity services Managing firewalls, VPNs and network security controls to ensure secure, compliant and highly available infrastructure Monitoring network performance, capacity and availability, proactively identifying opportunities to improve reliability and service delivery Working closely with internet service providers, telecommunications partners and third-party suppliers to maintain service levels and deliver infrastructure enhancements Providing technical guidance and support to customers and external stakeholders regarding network connectivity and system integrations Supporting the ongoing transition from analogue infrastructure to modern All IP networking solutions Producing and maintaining high-quality technical documentation, network diagrams and operational procedures Contributing to continuous service improvement initiatives while ensuring compliance with industry standards and data protection requirements What You Will Need to Apply: The ideal candidate for this role will have previous experience working as a Network Engineer, Network Administrator or within a similar networking position, ideally gained within telecommunications, managed services or another technically complex environment. Applicants should possess strong technical knowledge of IP networking technologies, including TCP/IP, SIP/VoIP, DNS, DHCP, VLANs, firewalls and cloud networking, alongside hands-on experience configuring and supporting enterprise networking infrastructure. Experience troubleshooting complex networking issues using diagnostic tools such as Wireshark and packet capture software will be highly advantageous. Candidates should demonstrate excellent analytical and problem-solving skills, with the ability to remain calm and methodical while working within mission-critical environments where service availability is essential. Strong communication skills are equally important, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders. Applicants should ideally hold a recognised networking qualification such as Cisco CCNA, CCNP, CompTIA Network+ or an equivalent certification. Experience supporting digital communications, technology-enabled services or the migration to All IP networks would be advantageous but is not essential. The successful individual will be customer-focused, collaborative and self-motivated, with a genuine passion for networking technologies and a proactive approach to delivering high-quality technical solutions. They will be eager to continue developing their expertise while contributing to the success of a growing and innovative organisation. What You Will Get in Return: For the successful candidate, a competitive salary of up to £35,000 will be offered alongside excellent benefits package. Additional benefits include generous annual leave plus bank holidays, a company pension scheme with employer contributions, free on-site parking, access to an employee assistance programme, employee discount schemes and a wide range of retail, leisure and lifestyle benefits. This role offers an excellent opportunity to join a collaborative and forward-thinking technical team during an exciting period of growth and technological transformation. The successful candidate will gain exposure to modern networking technologies and large-scale infrastructure projects while enjoying excellent opportunities for professional development and long-term career progression within a supportive and innovative environment. To discuss this excellent role further, please do not hesitate to reach out to: Suzi Kocovska - Recruitment Partner M: E:

To see more Chinese jobs please follow us on WeChat: teamchinapf AND pfteamchina Ref:23498 The Skills You'll Need: Mandarin, GO-TO-MARKET, product launch Your New Salary: Up to £65k, depending on experience Office based Perm Start: ASAP Mandarin speaking Senior GTM Specialist-Reading - What You'll be Doing: Core GTM Responsibilities? Market Entry Strategy Design? Assist in developing end-to-end product launch plans, including market selection, pricing strategies (channel/promotional/regional pricing structures), channel planning, and promotion timelines Conduct deep analysis of UK/Ireland market demands to identify product differentiation points (e.g., technical advantages/scenario-based solutions) Develop competitive benchmarking models and produce sales toolkits (product USPs/KSPs, competitive comparison guides, user case libraries) Cross-Department Collaboration & Resource Integration? Lead GTM processes by aligning resources across R&D, supply chain, marketing, and sales departments (e.g., marketing strategies, campaign scheduling) Design product training systems covering technical parameter explanations, scenario-based sales guides, and potential after-sales issue avoidance Coordinate with HQ for product localization (e.g., firmware version iterations, packaging compliance verification) Product Lifecycle Management? Monitor KPIs (product ratings, return rates, sales volume, market share) to dynamically adjust GTM strategies Collect end-user feedback and analyse market/competitor trends to drive next-gen product requirements Engineering Support Responsibilities? Execute product reliability testing (competitive product comparative testing/household environment testing). Provide pre-sales technical proposals (e.g., home network employment/security recommendations) and post-sales troubleshooting Submit localization improvement suggestions (software/hardware features, installation guidelines, certification compliance) Mandarin speaking Senior GTM Specialist-Reading - The Skills You'll Need to Succeed: 3+ years in smart hardware GTM roles with full participation in 2 product launch projects Experience in cross-time zone collaboration (China HQ + European markets). In-depth understanding of smart home/networking technologies and products. Strong analytical, self-learning, and problem-solving skills. Ability to work in a collaborative team environment. Valid driver's license. Preferred Proficiency in GTM methodologies Relevant technical certifications in ICT Fluent in Mandarin (written & spoken) Please view all our Team China jobs at people-first-recruitment Please follow us on Linkedin: people-first-team-china We would be grateful if you could send your CV as a Word document. If your application is successful, you will be contacted within 7 days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs. Please note that we can only consider candidates who are eligible to work in the UK and are able to provide relevant supporting documentation. People First is committed to increasing diversity, and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether or not they have a disability. People First (Recruitment) Limited acts as an employment agency for permanent and fixed term contract recruitment and as an employment business for the supply of temporary workers. Please note that by applying for this job you accept our Terms of Use and Privacy Policy which can be found on our website.

World Class Defence Organisation is currently looking to recruit an Electrical Systems Engineer / Architect subcontractor on an initial 12 month contract. Your base site can either be from the companies Bristol, Stevenage or Bolton office. This role will be a hybrid position - 3 days per week onsite and 2 days remote. Hourly Rate: £60 - £85 (Umbrella). Contract Duration: 6 Months initially and then ongoing and long-term thereafter. Missile Electronic Architect Job Description: Electrical Architects/Engineers are involved in all aspects of missile development, from the early concept studies to series production and in-service support. It's an excellent opportunity for someone wanting to build on their engineering experience. Responsibilities: You will be responsible for the electrical architecture and requirements for missiles and/or their associated launcher systems with duties including: Specifying/determining system electrical requirements interface definitions and characteristics between subsystems/equipment power architecture, including power budget and power profiles data communication and processing architecture requirements for EMC, bonding, grounding and screening signal safety, including routing of safety related signals Supporting test and fault-finding activities during compatibility checks, risk reduction, system proving/qualification and integration Reviewing and authoring reports, guidelines and processes Design assessments and analysis Working to defence/industry standards Attending and supporting design reviews Alternatively, acting as the Equipment Manager (RMO) for specific electrical/electronic equipment(s) that are part of a missile or launcher system you will: Project manage the equipment(s) on behalf of the project during development, qualification and manufacture Own the requirements on behalf of the project for the equipment(s) Produce Statement(s) of Work for the associated design authority for the equipment(s) Create and update plans showing activities for the equipment(s) Manage internal & external design authorities for delivery of the equipment(s) hardware, software and deliverables to schedule, cost, quality and performance Hold regular progress reviews with the design authority for the equipment(s) Review qualification verification evidence Track and find resolution to equipment non-compliances Attend and support design reviews Skillset/experience required: Technical experience required: electrical/electronics interface definitions knowledge of defence/industry standards, etc. degree level qualification in a related subject systems engineering writing reports Ideally this would be within a defence related background, however, experience within other engineering industries will also be considered. Experience within these other areas are also of interest but not essential: defence weapon systems power supplies actuators data communication sensors EMC Health Usage Monitoring Systems (HUMS) Model Based Engineering (MBE)

Automation Test Engineer Join a team developing advanced technology that supports complex, real-world applications. We're looking for an Automation Test Engineer to help validate the performance, reliability, and quality of cutting-edge software and integrated hardware systems. Working as part of a collaborative engineering team, you'll execute structured test activities, identify and report defects, and contribute to the continuous improvement of testing processes and automation. This is an excellent opportunity for someone with a passion for technology who is looking to develop their career in software and systems testing. Key Responsibilities Execute functional, integration, regression, and performance testing across software and hardware systems. Set up and configure test environments, supporting both laboratory and field-based testing activities. Accurately record test results, identify defects, and verify fixes using defect tracking tools. Produce clear and traceable test documentation to support quality and compliance requirements. Assist with the development and maintenance of automated test scripts and identify opportunities to reduce manual testing. Collaborate with software and hardware engineers to investigate issues and improve overall product quality. Contribute ideas to improve testing processes and support continuous improvement initiatives. Travel to customer and test locations across the UK when required. What We're Looking For Degree, HND, or equivalent experience in Engineering, Computer Science, or another relevant technical discipline. Some experience of software or systems testing gained through industry, education, internships, or personal projects. Understanding of core testing principles, including test cases, defect reporting, regression testing, and test evidence. Strong analytical skills with excellent attention to detail and a methodical approach. Clear written communication skills and the ability to produce accurate technical documentation. An interest in developing skills in test automation and modern engineering technologies. Comfortable working in both office/laboratory and outdoor test environments. Good IT skills, including Microsoft Office, and the ability to quickly learn new tools. Desirable Skills ISTQB Foundation Certification (or a willingness to achieve it). Experience with Python, scripting, or automated testing tools. Familiarity with Jira or similar defect management platforms. Exposure to sensor technologies, RF, radar, autonomous systems, or other advanced engineering environments. Full UK driving licence. Please note: Applicants must be willing to travel within the UK as required and be eligible to obtain and maintain UK Security Clearance (SC).