25 jobs found

About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid-a factory-scale robotics platform designed to make small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab levels of precision applied to the chaotic world of prototyping and low-volume production. The result? A 10x throughput improvement in one of the world's most foundational industries. We've raised £45M from top-tier investors including Y Combinator and Google Ventures-and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline. The Grid isn't a prototype-it's live, scaling fast, and already delivering real revenue. We're now building the engineering core that will scale it further. What We're Looking For We're hiring full-stack robotics/automation engineers to build and scale our automated factory in Cambridge UK. This is a hands-on, high impact role based full-time onsite at our central Cambridge facility. You'll be a core part of the build out, development and support of a brand new fully automated factory. You'll design, deploy and deliver both physical and software systems as well as continually carrying out post deployment optimisations to increase throughput. We're looking for individuals who have built full robotic systems, whether as a student, founder, employee or hobbyist. You'll be expected to integrate software, hardware, and process into functional systems and debug failures under real-world production pressure. We're not looking for narrow specialists for this role, we are looking for engineers who can: Create and adapt PLC code on the fly and under pressure (Beckhoff TwinCat ideally) Diagnose system wide failures from first principles Prototype mechanical and software fixes on the fly Work autonomously and communicate clearly to a remote team Take full responsibility for production system uptime and performance This role is perfect for an individual who loves to see their own designs through from concept, to build through to deployment. You will be designing, prototyping, iterating and optimising systems constantly, working in a dynamic environment amongst highly motivated peers. Bonus skills: Programming and running CNC machinery Design of chemical handling machinery Experience working with optics 3D CAD experience, ideally Fusion 360 What You'll do Every day is different, on a given day you could be doing anything from forklifting steel fabrications off a lorry and designing end effectors to commissioning linear motors and debugging TwinCAT code. Here are some examples things you might get involved with: Configure and debug a distributed GigE vision system Analyze end effector behavior from video recordings and revise the geometry and control approach to optimise throughput and reliability Specify, test and deploy sensors for monitoring a chemical process Commission new robotic systems and debug their control cabinets What CircuitHub can offer Salary, £50,000 - £110,000 dependent on experience Think you can bring more than what's described here? Great! The salary range is not a hard limit, if you are an expert on all of the above we still want to talk to you. Not quite so experienced, but passionate and want to learn? Also great! Talk to us, we might be able to find a place for you. Location This is an onsite role out of our site in central Cambridge working alongside a driven team of automation engineers who are designing, building and supporting the expansion of our Grid PCB assembly system. "

Responsibilities Technical Leadership: Lead the architecture and design of software systems across the full stack-from embedded firmware (C/C++) controlling hardware to high level application software (C#/.NET). Team Leadership: Provide technical guidance, mentorship, and leadership to a team comprising Software, Firmware, and Electronics Engineers. Physics Based Development: Apply a strong understanding of physics to develop algorithms that turn raw sensor data into actionable scientific insight, including signal processing, instrument control loops, and physical modeling. System Integration: Work closely with hardware engineers to bring up new boards, debug complex opto electronic systems, and ensure seamless integration between hardware and software. Innovation: Propose technology concepts involved in next generation product development, specifically focusing on thermal analysis and materials characterization. Collaboration: Responsible for low level software coding and algorithms, manufacturing support, and collaboration with cross functional teams for high level application coding. Qualifications Education: Honors degree in Physics, Mathematics, or Engineering with a strong Physics component (a pure Computer Science degree without a strong scientific/physics background is not acceptable). Experience: Minimum of 10+ years of commercial software experience with a proven track record in comprehensive system development. Tech Stack: Expert level proficiency in C# /.NET and strong proficiency in C/C++ for embedded systems/firmware. Leadership: Demonstrated experience leading or mentoring multi disciplinary technical teams (Software and Firmware/Electronics). Domain Knowledge: Experience in scientific instrumentation, industrial automation, or a similar high technology environment where software interacts physically with hardware. Hardware Interface: Deep understanding of communication protocols (I2C, SPI, USB, Ethernet) and the ability to read schematics/datasheets for firmware development and hardware debugging. Strategy & Process: Define software development standards, drive Agile/Scrum processes, and implement CI/CD pipelines to ensure operational excellence and product quality. Desirable: Experience running a multi discipline team; signal processing (FFT, digital filtering) and image processing; MATLAB or Python for algorithm prototyping; mobile cross platform tools (Xamarin/MAUI) or cloud connectivity (Azure/AWS) for IoT enabled instruments; AI Champion. Preferred Characteristics: Strong leader who inspires confidence and drives technical decisions; physicist mindset with first principles thinking; analytical and data driven; ability to see both the small and the big picture; organizational and problem solving aptitude; adaptability.

PhysicsX is a deep tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Opportunity We're looking for a Content & Communications Strategist to join our Marketing & Communications team, reporting directly to the Head of Marketing & Communications. This is a rare opportunity to help shape the public voice of a fast scaling, deeply technical company operating at the frontier of engineering and AI. In this role, you'll translate complex, high value work into clear, compelling narratives across every channel where PX shows up - the website, social platforms, events, executive stages, partner channels, and internally. You'll collaborate closely with engineers, product leaders, partner teams, leadership, and designers to turn our work into stories that build credibility, attract talent, and deepen customer engagement and confidence. We're looking for someone who thrives at the intersection of storytelling, creative execution, and strategic alignment. You will operate as a core part of PX's comms engine, helping build a scalable content operation and raising the creative bar across everything we publish. We operate in a fast moving, high stakes environment where priorities can shift quickly and the path isn't always linear. As we grow the team, you'll be one of the core operators driving content delivery - which means real ownership, real impact, and real learning. If you thrive under pressure, enjoy solving problems on the fly, and like stretching beyond your comfort zone, you'll feel at home at PX. What You'll Do Partner with the Head of Marketing & Communications to develop and maintain a unified editorial calendar across blog, website, social, events, and PR moments. Write and edit high quality content - blog posts, web pages, one pagers, long form thought leadership, scripts, and event materials - that reflects PX's tone of voice and raises the signal across all channels. Support the development of messaging and materials for executive and technical speaking engagements. Lead PX's voice on LinkedIn and Instagram, sourcing content, shaping narratives, and publishing a consistent drumbeat of high signal updates, helping amplify key moments across product, platform, partnerships, and talent. Ensure stylistic consistency and creative excellence across all digital touchpoints. Collaborate with internal teams and external agencies on the creation of video content - storyboarding, scripting, production, and review. Support internal communications and employer brand storytelling ( announcements, people related updates, talent events, and recruiting content). Partner with Talent to support employer brand storytelling, creating compelling content that attracts world class engineers and researchers. Work with partner organizations to produce and amplify joint content, case studies, and announcements. Uphold and evolve PX's tone of voice and editorial standards across all communications. Track performance through comprehensive dashboards, gather qualitative and quantitative insights, and continuously refine what great looks like. What Success Looks Like (First 90 Days) Develop a PX specific content strategy grounded in our positioning, technical domain, and target audiences, with clear priorities, themes, and a structured editorial plan. Publish 4 6 high quality blog posts that meet PX editorial standards (clear thesis, strong narrative, technically grounded, visually supported), supported by short form video content for social amplification. Own and maintain a clean, reliable editorial calendar used by the wider team. Deliver event and executive materials end to end (slides, talking points, social), ensuring they're on brand and engaging. Build strong working relationships with engineers and technical stakeholders, proactively sourcing stories and insights. Demonstrate clear understanding of PX's positioning, customers, competitors, and technical domain. About You 5 6 years of experience in communications, marketing, or editorial roles (agency or in house), ideally within B2B tech, AI, engineering, or deep tech environments. Exceptional writer and editor with the ability to distill technical concepts into accessible, incisive stories. Strong narrative and tone of voice instincts - you know what makes a story compelling and how to adapt it for different audiences and formats, while staying true to the company/stakeholder tone of voice. Comfortable working cross functionally with engineers, designers, technical leaders, and commercial teams. High agency, proactive, and comfortable with ambiguity; you can drive projects forward with minimal oversight. Strong judgment and discretion, able to handle sensitive information and high stakes content. You operate with high ownership and motivation - you don't wait to be told what to do. You don't compromise on quality or level of attention to detail, regardless of the format you're working with. You are comfortable working at pace and flexing when needed. You are excited to engage deeply with technical material, not just simplify it. You can develop PX specific content strategy grounded in our technical domain, customers, and positioning - not templated frameworks. You demonstrate editorial judgment: identifying what's new, what's redundant, and what's worth saying. Bonus Points Experience supporting executives with talks, presentations, and event materials. Familiarity with visual design workflows (Figma, Adobe Suite) or working closely with design teams/agencies. Experience working with or around video production. This role is the right fit if You do your best work when you have ownership and room to shape things, rather than waiting for a fully formed brief. You're genuinely comfortable - maybe even energized - by complex technical subject matter, and you know how to get up to speed fast. You use AI as a tool to streamline projects and sharpen your thinking, not as a substitute for it. You're flexible about how and when you work, and you take deadlines seriously. You hold yourself to a high standard and actively look for ways to raise the bar on your own output. What We Offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. And it doesn't stop there Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. Benefits Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energized and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of annual leave (+ public holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike to Work scheme and season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity . click apply for full job details

About aion Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform. We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters. We're a fast-growing, VC backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we're building the next generation of enterprise AI and we're looking for exceptional people to help us scale. Who You Are You're a customer focused AI consultant and software engineer who enjoys solving complex business problems using cutting edge AI technologies. You have experience working directly with enterprise customers, understanding their business challenges, and designing scalable AI solutions that deliver measurable business outcomes. You combine strong technical expertise with exceptional consulting skills. You're comfortable translating business requirements into solution architectures, collaborating with engineering teams to deliver production ready AI applications, and guiding customers through every stage of their AI transformation journey. You're product mindful and understand that successful AI adoption is about more than technology. It requires strategic thinking, customer empathy, technical leadership, and the ability to align AI capabilities with business objectives. You thrive in customer facing environments, enjoy working across multiple industries, and are excited to help organizations unlock the full potential of enterprise AI. What You'll Do Customer Discovery & AI Consulting Partner with enterprise customers to understand their business challenges, workflows, and AI transformation goals. Conduct discovery workshops, technical assessments, and solution design sessions to identify high impact AI opportunities. Advise customers on AI strategy, implementation roadmaps, and best practices for enterprise AI adoption. Translate complex business requirements into scalable AI solutions aligned with customer objectives. Solution Architecture Design end to end AI solution architectures using Aion's enterprise AI platform. Create scalable, secure, and production ready architectures for AI applications, intelligent agents, automation workflows, and enterprise integrations. Define technical solution blueprints covering infrastructure, data flows, APIs, security, and deployment strategies. Collaborate closely with engineering teams to ensure successful implementation of customer solutions. Implementation & Delivery Lead technical solution delivery from proof of concept through production deployment. Work alongside customers during implementation, ensuring successful integration with existing enterprise systems. Support solution validation, performance optimization, testing, and production readiness. Resolve technical challenges and recommend architecture improvements throughout project execution. Cross functional Collaboration Partner with Product, Engineering, AI, Customer Success, and Sales teams to continuously improve Aion's platform and customer experience. Provide customer feedback that influences product roadmap and platform capabilities. Support technical demonstrations, solution workshops, RFP responses, and executive presentations. Develop reusable architecture patterns, reference implementations, and best practices for enterprise AI deployments. Thought Leadership Stay current with advancements in AI, Large Language Models, agentic AI, cloud infrastructure, and enterprise software. Represent Aion at customer meetings, industry events, and technical workshops. Contribute to solution playbooks, architecture documentation, and technical enablement materials. Help establish Aion as a trusted advisor in enterprise AI transformation. Technical Skills & Experience 5+ years of experience in Solutions Architecture, Technical Consulting, Enterprise Architecture, or Software Engineering. Experience designing and delivering enterprise software, cloud, or AI solutions for customers. Strong understanding of Large Language Models, Generative AI, Retrieval Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud native technologies, and modern application architectures. Ability to communicate complex technical concepts to both technical and non technical stakeholders. Experience working with cross functional teams across engineering, product, sales, and customer success. Strong presentation, documentation, and stakeholder management skills. Bonus/ Good to Have Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi agent systems, or AI workflow orchestration. Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector, or other enterprise industries. Cloud & Infrastructure: Hands on experience with cloud architecture, Infrastructure as Code, DevOps, MLOps, or enterprise platform engineering. Pre sales & Customer Success: Experience supporting enterprise sales cycles, solution demonstrations, technical workshops, or proof of concept engagements. Enterprise Integrations: Experience integrating AI solutions with enterprise applications, CRMs, ERPs, productivity suites, and business systems. Preferred Attributes: Founder-level ownership and bias for action. Strong strategic thinking and ability to connect technical decisions to business impact. Excellent communication and mentoring skills. Thrives in ambiguity, fast paced environments, and early stage startup culture. Why Join aion? Work directly with high pedigree founders shaping technical and product strategy. Build infrastructure powering the future of AI compute globally. Significant ownership and impact with equity reflective of your contributions. Competitive compensation, flexible work options, and wellness benefits

Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing High-performance computing (CPU / GPU clusters) Parallelised / distributed training for large / foundation models Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to: Scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus) Distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton) Cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications C/C++ for computer vision, geometry processing, or scientific computing Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Container-isation and orchestration (Docker, Kubernetes, Slurm) Writing pipelines and experiment environments, including running experiments in pipelines in a systematic way What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. About the Team PhysicsX is building AI that transforms how the world's most complex engineering problems are solved. As the company scales rapidly following our Series B, we've built a dedicated Strategy & Programs function whose mission is to ensure we scale gracefully - with clarity, alignment, and discipline. The team sits at the intersection of strategy and execution. We own the company's strategic planning process, drive cross functional programs that upgrade how PhysicsX operates, and serve as the connective tissue that holds a fast growing organisation together. Learn more about the team here. The Role The Research Program Manager works across PhysicsX's most important research initiatives - from foundation model development to methods research - partnering with research leaders to turn ambitious research goals into clear plans and sustainable progress. You will own the operational backbone of our research programmes - planning, milestones, dependencies, and reporting - so that scientists and engineers can stay focused on the science. Working shoulder to shoulder with the Head of Research and technical leads, you will sit at the intersection of Research, Delivery, Product, and external partners, keeping momentum across multiple parallel efforts and connecting the technical work to strategy and business outcomes. This is a London based role with 2 3 days per week in our central office. What You'll Do Act as a trusted sounding board to research leads on the plans, priorities and decisions that matter most, synthesising, problem solving and driving solutions forward Create clarity and resolve ambiguity, help translate high level objectives into smaller manageable objectives. Own the planning and delivery cadence for research streams - crystalise and maintain roadmaps with clear milestones, owners, and decision points, working closely with research leads and technical partners. Run effective operating rhythms and rituals (stand ups, planning sessions, reviews, and retrospectives) with clear agendas, captured decisions, and tracked follow ups. Track progress against plans, surface risks and dependencies early, and drive them to resolution before they become blockers. Foster collaboration across Delivery, Product, Engineering, and Operations, to align priorities, secure resources, and remove friction for the research team for key streams. Act as a translator and bridge between the technical and the strategic direction - maintain a single source of truth for research project status, scope, and reporting, and create clear and concise materials that communicate the work done to internal and external stakeholders. Drive strategic research collaborations and partnerships - coordinate timelines, deliverables, and communications with external research partners and customers. Support resourcing and capacity planning across concurrent research efforts, balancing near term delivery with longer term research objectives. Help coordinate research outputs - papers, conference attendance, internal demos - so deadlines and commitments are met. Review or contribute to high level output where possible to improve messaging (e.g. in blogs). Coach individuals through complex challenges and ensure the conditions are in place to enable high performing teams to produce pioneering work What You Bring 3+ years of experience in program management, strategic operations, or consulting, ideally in a research, R&D, deep tech environment, or other complex content work. Experience partnering with leaders in fast paced environments, acting as a sounding board and thought partner on important projects, initiatives and decisions. Comfort operating in ambiguous settings with shifting context - you bring structure without slowing people down and enjoy environments where you can implement creative and innovative ideas which drive organisational performance. Excellent stakeholder management and communication skills; able to develop high trust relationships and influence without authority, adapting your message for audiences from individual contributors to executives. Strong problem solving skills - the ability to analyse issues, identify root causes, and drive practical solutions quickly. Attention to detail and commitment to high quality output, while keeping in mind the bigger picture and adjusting accordingly. Enough technical literacy to engage credibly with researchers and engineers - you can follow technical discussions, understand dependencies, and ask the right questions. A background in a quantitative, scientific, or engineering field is a plus. Familiarity with modern project management and collaboration tooling (e.g. Notion, Linear, GitHub). Nice to Have Experience managing research programmes involving machine learning, simulation, or scientific computing. Experience coordinating external research partnerships, grants, or academic collaborations. Knowledge and experience in utilising coaching techniques to foster high performance teams Exposure to a high growth, scaling technology company. Why Join PhysicsX? Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options- share meaningfully in the company you're helping to build. 10% employer pension contribution- because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave- 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme- to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance- 100% employee cover, giving you complete peace of mind. Wellhub Subscription- gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we're continuing to build this as we grow We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Senior Software Developer - Industrial Automation Environment We are seeking a Senior Software Developer to play a key role in designing, building, and maintaining core software applications that support advanced automated materials handling, warehouse automation, and robotics led production environments. This is a software led position, focused on developing production grade applications, platforms, and user interfaces. While the software operates within an industrial setting, the primary responsibility is software engineering - not hardware configuration or PLC programming. You will join a team responsible for modernising an existing technology stack, contributing to the transition from Python/Django to C#/NET and Blazor. This role offers ownership across application design, architecture, and long term maintainability, alongside close collaboration with engineering teams to ensure software aligns with real world systems. Key Responsibilities Design, develop and maintain core software applications used in automation and production environments Lead hands on development in C#/NET, contributing to system migration and platform evolution Build and enhance operator facing applications, dashboards and visualisation tools displaying real time system data Own application logic, workflows and behaviour within production systems Contribute to overall software architecture, technical standards and development best practices Implement and maintain version control and CI/CD pipelines using GitHub Ensure applications are reliable, maintainable and resilient, with a strong emphasis on fault handling and diagnostics Collaborate with controls, robotics and mechanical engineers to ensure seamless integration with physical systems Support testing, commissioning and deployment of software releases Mentor junior developers and contribute to technical decision making within the team Required Skills & Experience Software Development Strong commercial experience with C# and .NET Experience building user interfaces and application logic using Blazor or similar frameworks Background in Python, ideally within Django environments (particularly for legacy systems or migrations) Hands on experience with GitHub, including branching strategies, pull requests and CI/CD workflows Strong understanding of clean code principles, maintainability and scalable software design Industrial / Operational Environments Experience developing software for industrial, manufacturing, automation, logistics or IoT environments Understanding of how software interacts with PLC controlled or machine driven systems (no PLC programming required) Comfortable working in environments where uptime, reliability and performance are critical Systems & Architecture Experience designing and maintaining long running, production grade systems Ability to build fault tolerant applications interacting with external systems and data sources Strong debugging, troubleshooting and problem solving capability What This Role Offers The opportunity to work on real world, high impact systems combining software, robotics and automation Ownership of critical applications that directly influence operational performance Involvement in a large scale technology modernisation programme A collaborative, multidisciplinary environment with exposure to cutting edge automation technologies Influence over technical direction, standards and best practices Role Scope This role is: A hands on senior software development position Focused on building robust, scalable applications Product and platform oriented Embedded within a real world automation environment This role is not: A PLC programming position A controls engineering or systems integration only role A pure web or SaaS focused development job

Systems Administrator - 12 Month FTCLivingston, United KingdomApply NowFind out how well you match with this jobJob IDR040233 About us At Plexus, our vision is to help create the products that build a better world. By embracing an innovative culture of excellence, we pride ourselves on designing, manufacturing and servicing some of the world's most transformative products. From life-saving medical technology and mission-critical defense solutions to sophisticated industrial automation, we're proud to partner with our customers to bring their complex ideas to market. Visit to learn more about our unwavering commitment to our vision. Living Our Values With a vision rooted in the wellbeing and inclusive engagement of our team members, our customers, their end users and our communities, people are the heart of what we do and who we are. Our values unite and guide us in everything that we do. Our values include: Growing our People, Building Belonging, Innovating Responsibly, Delivering Excellence and Creating Customer Success. As part of our team, you'll do impactful work within an inclusive environment where everyone works together to achieve extraordinary outcomes. You'll be empowered to reach your full potential through managing your own personalised development plan and access to our learning and development programs. Plexus is seeking a highly skilled and experienced IT Support Engineer/Systems Admin to take ownership of complex technical escalations, maintain critical infrastructure components, and mentor junior staff. If you are proficient across the stack, from end-user support to server maintenance, we invite you to apply!Please note that this role is an on-site, 12 month, fixed term contract with possibility of extension. In this role you will role you will; Focus on advanced problem resolution and infrastructure stability. Serve as the escalation point for all complex hardware, software, and network incidents, driving issues to complete resolution. Manage and maintain core server infrastructure (physical and virtualized environments, e.g., VMware), including patching, monitoring, and troubleshooting performance bottlenecks. Oversee and optimize our Active Directory structure, Group Policy Objects (GPOs), DNS, and DHCP services. Develop, implement, and maintain IT operational documentation and disaster recovery procedures for critical systems. Lead small to medium-scale IT projects, such as system upgrades, migrations, or the rollout of new infrastructure technologies. Support Global projects to ensure smooth transitions. Provide advanced troubleshooting and support for sophisticated network components (e.g., firewalls, managed switches, Wi-Fi configurations). What we're looking for: The ideal candidate must demonstrate proven expertise in the following areas: Experience: 2+ years in an advanced IT support, Systems Administration, or Infrastructure Engineering role. Systems Expertise: Deep proficiency with Windows Server operating systems (2016/2019/2022) and virtualization technologies. Automation: Scripting proficiency using PowerShell for routine administrative tasks and automation is highly desirable. Networking: Solid understanding of Layer 2/Layer 3 networking, VLAN configuration, and VPN technologies. Soft Skills: Exceptional diagnostic, analytical, and mentoring abilities to guide colleagues and interact confidently with senior management. Your Rewards and Wellbeing We believe in rewarding your contribution with a comprehensive package designed to support your life both inside and outside of work. Growth: Bespoke development plans and volunteer time off Health: Private medical insurance, Employee Assistance Program and vision care Wealth: Enhanced pension contributions, life assurance, and group income protection Lifestyle: Electric Vehicle and Cycle to Work schemes, plus 33 days of annual leave Application Process At Plexus, we don't look for culture fit, we look for culture add. We value the unique perspectives you bring and review every candidate holistically, balancing professional experience, education and individual journey. Accessibility and Accommodations As a Disability Confident employer, we recruit purely on the basis of skills and merit, ensuring an equitable process for everyone. We are committed to providing reasonable accommodations for individuals with disabilities or special requirements. If you require support during the application process, please contact us at with your contact information and a description of your needs. Note: This inbox is dedicated to accommodation requests; please note that application status updates cannot be provided via this address.

About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid-a factory scale robotics platform designed to make small batch, high mix electronics assembly radically more efficient. Think semiconductor fab levels of precision applied to the chaotic world of prototyping and low volume production. The result? A 10x throughput improvement in one of the world's most foundational industries. We've raised $45M from top tier investors including Y Combinator and Google Ventures-and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline. The Grid isn't a prototype-it's live, scaling fast, and already delivering real revenue. We're now building the engineering core that will scale it further. What We're Looking For We're hiring full stack robotics/automation engineers to build and scale our automated factory in Cambridge UK. This is a hands on, high impact role based full time onsite at our central Cambridge facility. You'll be a core part of the build out, development and support of a brand new fully automated factory. You'll design, deploy and deliver both physical and software systems as well as continually carrying out post deployment optimisations to increase throughput. We're looking for individuals who have built full robotic systems, whether as a student, founder, employee or hobbyist. You'll be expected to integrate software, hardware, and process into functional systems and debug failures under real world production pressure. We're not looking for narrow specialists for this role, we are looking for engineers who can: Create and adapt PLC code on the fly and under pressure (Beckhoff TwinCat ideally) Diagnose system wide failures from first principles Prototype mechanical and software fixes on the fly Work autonomously and communicate clearly to a remote team Take full responsibility for production system uptime and performance This role is perfect for an individual who loves to see their own designs through from concept, to build through to deployment. You will be designing, prototyping, iterating and optimising systems constantly, working in a dynamic environment amongst highly motivated peers. Bonus skills: Programming and running CNC machinery Design of chemical handling machinery Experience working with optics 3D CAD experience, ideally Fusion 360 What You'll do Every day is different, on a given day you could be doing anything from forklifting steel fabrications off a lorry and designing end effectors to commissioning linear motors and debugging TwinCAT code. Here are some examples things you might get involved with: Configure and debug a distributed GigE vision system Analyze end effector behavior from video recordings and revise the geometry and control approach to optimise throughput and reliability Specify, test and deploy sensors for monitoring a chemical process Commission new robotic systems and debug their control cabinets What CircuitHub can offer Salary, £50,000 - £110,000 dependent on experience Think you can bring more than what's described here? Great! The salary range is not a hard limit, if you are an expert on all of the above we still want to talk to you. Not quite so experienced, but passionate and want to learn? Also great! Talk to us, we might be able to find a place for you. Location This is an onsite role out of our site in central Cambridge working alongside a driven team of automation engineers who are designing, building and supporting the expansion of our Grid PCB assembly system.

Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the role We are seeking a Senior R&D Software Engineer to design, develop, and enhance advanced spectrum management and signal analysis solutions within the Keysight Spectrum Management Software (KSMS). This role focuses on developing high-performance software for RF spectrum monitoring, signal classification, and geolocation applications used by defense, telecommunications, and regulatory customers worldwide. You will work at the intersection of software engineering, RF systems, and signal processing, translating complex technical concepts into scalable, production-quality solutions. This is a hands on role involving full stack software development, algorithm implementation, system integration, and evaluation of real-world RF environments. Responsibilities Key Responsibilities Design, develop, and maintain high quality software for spectrum monitoring, analysis, and related wireless communications applications Architect and implement scalable, maintainable, and high performance software systems using modern software engineering principles and best practices Design and build intuitive, responsive front end applications and visualization tools for monitoring, analyzing, and managing RF systems and data Develop software components for data acquisition, signal processing, visualization, system control, and analytics across desktop and web platforms Collaborate with cross functional teams to define system architecture, interfaces, and technical requirements Troubleshoot and resolve complex software issues spanning front end, back end, and hardware interfaces Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field Strong software development experience with modern C/C++, Python, shell scripting, experience developing full stack applications using TypeScript for front end development and Node.js/Express for back end REST APIs Strong understanding of object oriented design, functional programming, software architecture, and modern software engineering best practices Experience building scalable, maintainable, and well tested software using version control, automated testing, and continuous integration Experience working with data intensive, distributed, and real time systems Desired Qualifications Experience with spectrum monitoring, RF measurement systems and RF based geolocation techniques Experience developing and deploying cloud based applications and services using modern cloud platforms and containerization technologies Experience applying AI/ML techniques, including deep learning or generative AI, to spectrum monitoring, signal analysis, automation, or related RF workflows Careers Privacy Statement. Keysight is an Equal Opportunity Employer.

Location 1 Castle Court, Castlegate,Dudley, DY1 4RD,United Kingdom Job Category Software Development Employee Type FT Salaried Travel 5% Manage Others No We are seeking a Senior Software Engineer, Team Leader, to join our IMCS digital transformation team in Dudley (West Midlands). In this role, you will lead a team and technical efforts across diverse projects for multiple Mitsubishi Electric businesses - driving architectural decisions, setting technical direction, and delivering production level platforms and the systems thereon end-to-end. You'll operate with significant autonomy, owning problems from ambiguous requirements to reliable, running software. This is a role for engineers who take initiative, pull others along with them, and use every tool at their disposal - including generative AI - to ship quality work faster than anyone thought possible. As Team Leader this role is responsible for all people management responsibilities for this team and the guidance and support of the work being completed. Acting as a main communication point with the Chief Technical Officer. Key Responsibilities Lead the design, development, and delivery of full-stack applications, owning technical direction from architecture through production deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI augmented workflows) to accelerate development, improve code quality, and build AI powered features into products Architect and implement cloud native systems using containerized deployments, infrastructure as code, and modern CI/CD practices Identify and resolve technical risks and bottlenecks proactively - don't wait to be asked Collaborate across business units, translating ambiguous business needs into well scoped technical solutions Elevate the team through code reviews, technical mentorship, and establishing engineering best practices Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains Troubleshoot and resolve complex issues spanning the full stack, from frontend UI to backend services and cloud infrastructure Report progress, plans and other relevant updates to the CTO as required Complete people management tasks relating to the team, including but not limited to, approval of time off, absence management, and people development with support from the CTO Requirements Education & Experience Bachelor's degree in computer science, software engineering, or related field preferred (or equivalent practical experience) 8+ years of professional software development experience (10+ years preferred) Experience in people management in a similar office/software environment Demonstrated experience leading technical efforts - designing systems, making architectural calls, and driving projects to completion without close oversight Production experience using generative AI to deliver real work products - not just experimenting, but shipping AI assisted code, AI powered features, or AI augmented workflows that are running in production today Track record of increasing scope and ownership over your career Technical Skills Deep understanding of web application and distributed systems fundamentals (HTTP, REST APIs, authentication, state management, security) Strong experience with modern frontend frameworks (React, Vue, Angular, or equivalent) Strong experience with backend frameworks and API development (e.g., Node.js/Express, FastAPI/Django/Flask, ASP.NET, Spring Boot, or similar) Experience with relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB, MongoDB, Cosmos) including data modeling, query optimization, and understanding trade offs between storage technologies Hands on experience with generative AI tools and APIs (e.g., LLM assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability to navigate and become effective in codebases and technologies you didn't build, with strong debugging and problem solving skills across the full stack A genuine drive to continuously sharpen your craft and adopt better tools and approaches Summary Commencement: ASAP Full Time Position, 37.5 hours/week, Mon-Fri Location: Dudley, West Midlands Travel: Some occasional international travel may be required Annual bonus up to 4% Vacation: 33 days (includes bank holidays and end of year closure) Excellent working conditions Team Building 7% company pension contribution Cycle to work and EV car schemes About Mitsubishi Electric Iconics Digital Solutions, Inc. Mitsubishi Electric Iconics Digital Solutions, Inc., headquartered in Foxborough, Massachusetts, is a global leader in industrial automation, smart and sustainable buildings, and digital transformation software. Our innovative HMI, SCADA, and Smart Building solutions help organizations around the world visualize, monitor, and optimize their most critical assets and environments. With a presence in over 100 countries and trusted by more than 70% of Global 500 companies, we're proud to play a key role in shaping the future of manufacturing, infrastructure, and the built environment sectors. Backed by more than 40 years of technological innovation and deep industry expertise, we deliver flexible, scalable, and high performance solutions that drive operational efficiency and continuous improvement. What makes us different is our people. We are a global, collaborative community of innovators, problem solvers, and forward thinkers who are passionate about making a meaningful impact. Whether you're working alongside colleagues across Europe, the Americas, or Asia, you'll be part of a team that values knowledge sharing, diverse perspectives, and continuous learning. We are committed to creating an environment where employees can grow, contribute, and thrive-offering opportunities to work on cutting edge technology, tackle real world challenges, and help build smarter, more sustainable communities. As a testament to our excellence and strong partnership with Microsoft, Mitsubishi Electric Iconics Digital Solutions has been recognized as a seven time Microsoft Partner of the Year award winner. Join us and be part of a global organization where your ideas matter, your growth is supported, and your work helps shape the future. Additional Information Is this requisition for a backfill or a new position? New Position

At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our Visual AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are now looking for a Senior Robotics Engineer to establish and lead our robotics capability, taking Lumi from a system that understands the laboratory to one that can physically participate in scientific work alongside researchers. Lumi can already see what's happening in the lab. It knows where the pipettes are, which plates have been filled, whether a protocol has been followed correctly. It tracks objects in real time and understands the workspace in 3D. Robotic manipulation in laboratories is fundamentally more challenging than warehouse automation. Objects are small, deformable, and sensitive. Precision matters. Contamination matters. Mistakes have real consequences. Most robotics systems operate in controlled environments with predictable objects and standard playbooks. This does not. Role brief Own the robotics stack end-to-end. Select the hardware, define the software architecture, build the manipulation capabilities, and integrate tightly with Lumi's existing perception system to deliver closed loop, perception driven control in real laboratory environments. You will be a key part of building the foundation of robotics at Reach, helping to define everything from hardware and control architecture to safety and deployment. Crucially, you won't have to solve the perception problem; you will inherit Lumi's mature, production ready system, bypassing years of development to focus directly on turning reliable world understanding into physical action. This is not warehouse automation. The environments are pharmaceutical labs, cleanrooms, fume hoods, and food manufacturing facilities, where every action may need an audit trail. You will build systems that ship into working labs, used by real scientists, and iterate based on what actually breaks. Your Remit Spans Hardware platform selection and integration across arms, grippers, and sensors Robotics software architecture, including ROS2, control systems, safety layers, and simulation Manipulation capabilities for real laboratory tasks such as pipetting, plate moving, and vial handling Integration with Lumi's perception stack for perception-driven control Closed loop execution including verification of task completion Deployment of robotic systems into real lab environments and iteration based on real world feedback Safety architecture and human robot collaboration in regulated environments This is a highly autonomous role with real authority over how Lumi physically interacts with the world. Your Impact Hardware Platform and Architecture Select and integrate the right robotic arms, grippers, and sensors for laboratory manipulation. Define the robotics software architecture spanning ROS2, control systems, simulation, and safety layers. Establish the deployment model for getting robotic systems into production lab environments. Make build, buy, or partner decisions for critical robotics infrastructure components. Manipulation and Control Build manipulation capabilities for real laboratory tasks including pipetting, moving plates, and handling vials and equipment. Develop grasping strategies, force control, and compliant motion appropriate for fragile, deformable, and contamination-sensitive objects. Handle the realities of transparent liquids, reflective glassware, flexible tubing, and equipment that wasn't designed for robotic interaction. Define and execute the kinematics, dynamics, and control approaches that make manipulation reliable in the real world. Perception-to-Action Integration Integrate Lumi's perception outputs into working control loops, turning real time understanding into reliable action Close the loop between perception and action, including verification of task completion Build the systems that detect when a task has gone wrong and adapt accordingly Work closely with the AI team to evolve perception in service of manipulation requirements Deployment and Real-World Iteration Deploy robotic systems into real laboratory environments and iterate based on real world failure modes Demonstrate reliable pick and place of labware and execute basic pipetting workflows end to end Build systems that work in production environments, not just prototypes on a bench Debug messy, real-world systems and make them reliable Safety, Compliance, and Human Robot Collaboration Design safety architecture appropriate for cobots operating alongside scientists in regulated environments Apply cobot standards and force limiting to enable safe human robot collaboration Ensure every action produces an audit trail suitable for regulated laboratory settings Support compliance requirements across pharmaceutical, cleanroom, and food manufacturing environments Your Experience We're looking for evidence of building real robotic systems that actually work in the wild, rather than a perfect CV. You'll likely have experience in: Real-world robotic manipulation including pick and place, grasping strategies, force control, and compliant motion Integrating perception with action, using camera or depth data to guide robotic behaviour Strong software engineering in Python, C++ or both Working extensively with ROS or ROS2 Solid understanding of kinematics, dynamics, and control theory Working hands on with hardware, spending significant time debugging real systems rather than only writing code Operating self-directed in roles with significant ambiguity, defining the path rather than waiting for tickets Taking robotic systems from prototype into production environments AI native - bring a pioneering mindset towards AI adoption - experimentation with and leveraging of AI tools to accelerate your workflow Nice to Haves Experience with collaborative arm platforms (UR, Franka Emika, KUKA, ABB, or similar), liquid handling and pipetting automation, depth sensing integration with manipulation (RGB D, point clouds, grasp planning), human robot collaboration safety and cobot standards, simulation environments (Gazebo, MuJoCo, Isaac Sim), AI/ML for robotics (reinforcement learning, imitation learning, learned grasping), or laboratory and pharmaceutical automation is valuable but not required. What this Role Is (and isn't) This role is: Strategically foundational to how Lumi physically participates in scientific work Highly autonomous with real authority over hardware, architecture, and deployment decisions A founding role defining how robotics exists at Reach A chance to build closed loop robotic systems on top of a mature perception stack An opportunity to ship into real laboratory environments and iterate quickly This role is not: A research position disconnected from production deployment A warehouse automation or industrial pick and place role A role limited to simulation or prototypes that never reach a real lab A role for someone who prefers a defined platform and playbook over an open problem space A purely software role; you will spend significant time with hardware in real labs What Success Looks Like A hardware and software platform exists where none did before, and the architectural decisions hold up as the system scales Lumi has crossed the line from observing science to reliably executing parts of it, with closed loop manipulation working on real laboratory tasks Robotic systems are deployed in real lab environments, used by real scientists, and trusted enough to run without an engineer standing next to them Safety, verification, and audit trails are solved well enough to operate in regulated environments Other teams (perception, product, deployment) can build on top of the robotics stack without it becoming a bottleneck Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees Flexible working with an 8am-10am start and 4-6pm finish BUPA Private Healthcare and Dental for you and your family Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ within our lab and office space weekly Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life . click apply for full job details

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers who implement and develop the models Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. Data I/O and Performance Solve data loading bottlenecks for large-scale mesh datasets. Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. Work with heterogeneous data sources of varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine tuning capabilities. Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. Platform and Tooling Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. Collaborate with the broader Infrastructure team on shared patterns and standards. What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior Simulation Data Engineer will extend and operate the infrastructure that powers our research Data Factory. You will be responsible for the end-to-end pipeline: from geometry preparation and simulation orchestration through validation, post-processing, and delivery to downstream ML training systems, using PhysicsX platform orchestration services where synergies exist. This role sits at the intersection of HPC engineering and data engineering. You will orchestrate long-running CFD simulations at scale, build robust data pipelines, and ensure that every simulation we produce meets rigorous quality standards. Team Context In this role, you will be vertically embedded in Research , working daily with: Research Scientists who define data requirements and quality standards ML Engineers who consume Data Factory outputs for model training ML Infrastructure Engineers who are accountable for downstream training infrastructure You will have end-to-end responsibilities over the Data Factory, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Simulation Orchestration Extend and operate the Data Factory infrastructure that orchestrates thousands of CFD simulations per day on cloud compute Design and operate job scheduling systems that maximize throughput while handling failures gracefully Build monitoring and alerting to detect simulation failures, convergence issues, and resource bottlenecks early Build high-performance data pipelines that move simulation outputs from solver results to ML-ready training data Implement geometry preprocessing workflows (mesh preparation, morphing, watertightness validation) Design and operate post-processing pipelines: surface decimation, field interpolation, format conversion Optimize I/O performance for large mesh datasets Data Quality and Validation Implement comprehensive validation checks at every pipeline stage: solver convergence, physical field bounds, post-processing fidelity Build systems that capture and quarantine bad data before they reach training pipelines Track and report data quality metrics across the entire Data Factory Work towards full provenance: training samples should be traceable back to their source geometry and simulation configuration Integration and Delivery Deliver validated datasets to downstream ML training infrastructure in formats optimized for efficient data loading Design data versioning and cataloging systems that support reproducible training runs Work closely with ML Infrastructure Engineers to ensure smooth handoff between data production and model training Support multi-dataset training workflows What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience in data engineering, HPC engineering, or simulation infrastructure. Strong experience with orchestration systems: SLURM, Kubernetes, Temporal Production data pipeline experience: you've built and operated pipelines that process large volumes of data reliably Proficiency in Python for pipeline development and automation Systems engineering fundamentals: Linux, networking, storage systems, performance debugging Experience with cloud infrastructure; ideally CoreWeave or similar GPU/HPC focused clouds Background in HPC for simulation engineering: experience with CFD, FEA, or similar computational workflows (StarCCM+, OpenFOAM, ANSYS, etc.) Experience with geometry processing: mesh manipulation, CAD formats, PyVista Familiarity with scientific data formats: HDF5, VTK, NetCDF, Zarr Data quality engineering experience: validation frameworks, anomaly detection, data observability Ideally Understanding of CFD fundamentals, enough to interpret solver outputs and validation metrics Experience with 3D geometry pipelines (mesh decimation, field interpolation) Familiarity with ML data loading patterns and how training systems consume data What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.