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 Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. 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. Apply for this job indicates a required field
Nov 09, 2025
Full time
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 Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. 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. Apply for this job indicates a required field
Senior Product Manager, Engineering Applications 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. We are looking for a senior product manager to join us in redefining how Engineers work as part of our Engineering Applications team. You'll take ownership of understanding the problem space, shaping the product roadmap with evidence, and you should be passionate about crafting market-winning products. The Engineering Applications product group creates workflows for engineers to harness AI in their everyday work. The suite of products ranges from ready-to-use apps to a composable set of parts for AI Workbench users to assemble and create their applications. The group works closely with the AI workbench product group and forward-deployed teams to ensure impactful AI capabilities are developed and can be utilised for customers. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape the Engineering Applications our platform needs to support based on market and customer insight Work closely with Product leaders to translate the high-level product vision into actionable initiatives and a clear roadmap. Act as the team's source of clarity, ensuring everyone understands the what and why behind each prioritised initiative Balance long-term strategy with the immediate needs of our customer-facing Delivery teams Champion execution velocity by proactively removing blockers, accelerating feedback loops, and driving forward momentum Communicate clearly and transparently with all stakeholders to maintain alignment and build trust across the organisation What you bring to the table A sharp product sense, with the ability to structure, prioritise, and communicate complex problem spaces Understanding of engineering tools & organisations: CAD/CAE workflows, simulation software (ANSYS, Abaqus, etc.), and the technical decision-making processes Experience with Enterprise sales cycles, including contributing to marketing materials used to support GTM teams A structured, strategic mindset - you excel at navigating ambiguity, driving alignment, and delivering value quickly without losing sight of long-term goals A bias toward action, with a track record of driving momentum, resolving blockers, and iterating quickly in fast-paced environments Enthusiasm for product management as a craft, with opinions on the most effective way to build successful products Experience building products for developer users, ideally machine learning engineers, data scientists, or applied researchers, is a plus 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. Apply for this job We will collect applications through the form below. Fields include First Name, Last Name, Email, Phone, Resume/CV, and other standard recruitment information.
Nov 08, 2025
Full time
Senior Product Manager, Engineering Applications 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. We are looking for a senior product manager to join us in redefining how Engineers work as part of our Engineering Applications team. You'll take ownership of understanding the problem space, shaping the product roadmap with evidence, and you should be passionate about crafting market-winning products. The Engineering Applications product group creates workflows for engineers to harness AI in their everyday work. The suite of products ranges from ready-to-use apps to a composable set of parts for AI Workbench users to assemble and create their applications. The group works closely with the AI workbench product group and forward-deployed teams to ensure impactful AI capabilities are developed and can be utilised for customers. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape the Engineering Applications our platform needs to support based on market and customer insight Work closely with Product leaders to translate the high-level product vision into actionable initiatives and a clear roadmap. Act as the team's source of clarity, ensuring everyone understands the what and why behind each prioritised initiative Balance long-term strategy with the immediate needs of our customer-facing Delivery teams Champion execution velocity by proactively removing blockers, accelerating feedback loops, and driving forward momentum Communicate clearly and transparently with all stakeholders to maintain alignment and build trust across the organisation What you bring to the table A sharp product sense, with the ability to structure, prioritise, and communicate complex problem spaces Understanding of engineering tools & organisations: CAD/CAE workflows, simulation software (ANSYS, Abaqus, etc.), and the technical decision-making processes Experience with Enterprise sales cycles, including contributing to marketing materials used to support GTM teams A structured, strategic mindset - you excel at navigating ambiguity, driving alignment, and delivering value quickly without losing sight of long-term goals A bias toward action, with a track record of driving momentum, resolving blockers, and iterating quickly in fast-paced environments Enthusiasm for product management as a craft, with opinions on the most effective way to build successful products Experience building products for developer users, ideally machine learning engineers, data scientists, or applied researchers, is a plus 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. Apply for this job We will collect applications through the form below. Fields include First Name, Last Name, Email, Phone, Resume/CV, and other standard recruitment information.
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, enabling high-fidelity, multi-physics simulation through AI inference across the engineering lifecycle. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The role We're looking for experienced Deployment Lead(s) to join our customer-facing teams, serving as the critical bridge between PhysicsX and our customers. In this role, you'll own the end-to-end deployment of our platform into diverse, customer-owned infrastructure environments. You'll work closely with customers to understand their unique requirements, constraints, and environments, ensuring seamless platform adoption and deployment success. This is a hands-on technical role that combines deep infrastructure expertise with strong customer relationship skills, acting as a trusted advisor who guides customers through complex deployments while collaborating internally with our platform teams to meet real-world deployment challenges. What you'll do Partner directly with customers to assess their infrastructure requirements, security constraints, and deployment preferences, serving as the primary technical point of contact throughout the deployment lifecycle Build and maintain strong relationships with customer technical teams and stakeholders Gather customer feedback and requirements to inform platform development priorities Design and execute deployment strategies for customer-owned cloud and on-premise infrastructure Troubleshoot complex deployment issues across diverse infrastructure environments, distinguishing between application and infrastructure bugs and triaging internally Act as a system validator to ensure our platform works within customer infrastructure Continuously apply and improve deployment best practices and standards, and coach colleagues in their adoption What we're looking for Experience in deploying Kubernetes clusters across cloud platforms (AWS, Azure) and on-premise infrastructure Experience with infrastructure-as-code tools, preferably Crossplane, Terraform, and Helm Understanding of networking, security, and observability in containerised environments Proven track record of working directly with external customers or clients Excellent communication skills with the ability to explain complex technical concepts to diverse audiences, including managing expectations and delivering on commitments Strong problem-solving skills with a customer-first mindset Comfortable presenting to technical and business stakeholders Self-motivated with strong project management and organisational skills to empower internal and external teams to prioritise effectively Collaborative approach with the ability to work effectively across various teams Experience in a customer-led, customer success, professional services, or solutions engineering role is a plus Experience in regulated industries or high-security environments is a plus 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 Hybrid setup - remote flexibility with our Shoreditch office Enhanced parental leave - support for life's milestones Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow Work from anywhere - extend your remote setup 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. We collect diversity and inclusion data solely for monitoring the effectiveness of 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. Apply for this job To apply, please submit your application materials through the company's standard process. Note: this page does not display the full application form.
Nov 08, 2025
Full time
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, enabling high-fidelity, multi-physics simulation through AI inference across the engineering lifecycle. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The role We're looking for experienced Deployment Lead(s) to join our customer-facing teams, serving as the critical bridge between PhysicsX and our customers. In this role, you'll own the end-to-end deployment of our platform into diverse, customer-owned infrastructure environments. You'll work closely with customers to understand their unique requirements, constraints, and environments, ensuring seamless platform adoption and deployment success. This is a hands-on technical role that combines deep infrastructure expertise with strong customer relationship skills, acting as a trusted advisor who guides customers through complex deployments while collaborating internally with our platform teams to meet real-world deployment challenges. What you'll do Partner directly with customers to assess their infrastructure requirements, security constraints, and deployment preferences, serving as the primary technical point of contact throughout the deployment lifecycle Build and maintain strong relationships with customer technical teams and stakeholders Gather customer feedback and requirements to inform platform development priorities Design and execute deployment strategies for customer-owned cloud and on-premise infrastructure Troubleshoot complex deployment issues across diverse infrastructure environments, distinguishing between application and infrastructure bugs and triaging internally Act as a system validator to ensure our platform works within customer infrastructure Continuously apply and improve deployment best practices and standards, and coach colleagues in their adoption What we're looking for Experience in deploying Kubernetes clusters across cloud platforms (AWS, Azure) and on-premise infrastructure Experience with infrastructure-as-code tools, preferably Crossplane, Terraform, and Helm Understanding of networking, security, and observability in containerised environments Proven track record of working directly with external customers or clients Excellent communication skills with the ability to explain complex technical concepts to diverse audiences, including managing expectations and delivering on commitments Strong problem-solving skills with a customer-first mindset Comfortable presenting to technical and business stakeholders Self-motivated with strong project management and organisational skills to empower internal and external teams to prioritise effectively Collaborative approach with the ability to work effectively across various teams Experience in a customer-led, customer success, professional services, or solutions engineering role is a plus Experience in regulated industries or high-security environments is a plus 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 Hybrid setup - remote flexibility with our Shoreditch office Enhanced parental leave - support for life's milestones Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow Work from anywhere - extend your remote setup 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. We collect diversity and inclusion data solely for monitoring the effectiveness of 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. Apply for this job To apply, please submit your application materials through the company's standard process. Note: this page does not display the full application form.
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 Join our dynamic product team in our fast growing startup, building a platform for Data Scientists and Simulation Engineers to deploy Deep Physics Models. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. Bring your expertise in building front-end systems, plus familiarity with micro-frontend architectures and Kubernetes. A passion for software engineering, collaboration, and end-to-end ownership is key. What you will do Build & Evolve the Platform: Develop and maintain a frontend that supports complex ML workflows-from 3D visualizations to seamless API integrations Optimise User Experience: Ensure our interface is visually appealing and high-performing using advanced caching strategies, performance monitoring, and accessibility best practices Drive Innovation: Leverage modern tools and architectures to integrate cutting-edge features such as server-side rendering (SSR) and AI-driven enhancements Collaborate & Own: Work autonomously within a small, agile team, contribute ideas, experiment with innovative approaches, and take full ownership of your code from development through production Learn & Share: Engage in conferences and meet-ups, share knowledge with colleagues, and continuously learn from one another What you will bring to the table Frameworks & Libraries: React, TypeScript, and state management (Recoil, Redux, MobX) Performance Optimisation: Code splitting, lazy loading, and React performance tools APIs & Data Handling: REST, Long Polling, WebSocket, GraphQL, caching strategies, and data-heavy API interactions UX & UI: Responsive design, design systems, and prototyping (Figma, Excalidraw) Testing & Quality: Unit and integration (Jest), E2E testing (Cypress) Security & Accessibility: OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA CI/CD & Developer Tooling: NX, GitHub Actions, monorepos, pipelines, and micro-frontend architectures Specific Technologies: Plotly, Echart, VTK, Three.js, WebGL, WebGPU, and WebAssembly 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.
Nov 08, 2025
Full time
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 Join our dynamic product team in our fast growing startup, building a platform for Data Scientists and Simulation Engineers to deploy Deep Physics Models. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. Bring your expertise in building front-end systems, plus familiarity with micro-frontend architectures and Kubernetes. A passion for software engineering, collaboration, and end-to-end ownership is key. What you will do Build & Evolve the Platform: Develop and maintain a frontend that supports complex ML workflows-from 3D visualizations to seamless API integrations Optimise User Experience: Ensure our interface is visually appealing and high-performing using advanced caching strategies, performance monitoring, and accessibility best practices Drive Innovation: Leverage modern tools and architectures to integrate cutting-edge features such as server-side rendering (SSR) and AI-driven enhancements Collaborate & Own: Work autonomously within a small, agile team, contribute ideas, experiment with innovative approaches, and take full ownership of your code from development through production Learn & Share: Engage in conferences and meet-ups, share knowledge with colleagues, and continuously learn from one another What you will bring to the table Frameworks & Libraries: React, TypeScript, and state management (Recoil, Redux, MobX) Performance Optimisation: Code splitting, lazy loading, and React performance tools APIs & Data Handling: REST, Long Polling, WebSocket, GraphQL, caching strategies, and data-heavy API interactions UX & UI: Responsive design, design systems, and prototyping (Figma, Excalidraw) Testing & Quality: Unit and integration (Jest), E2E testing (Cypress) Security & Accessibility: OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA CI/CD & Developer Tooling: NX, GitHub Actions, monorepos, pipelines, and micro-frontend architectures Specific Technologies: Plotly, Echart, VTK, Three.js, WebGL, WebGPU, and WebAssembly 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. What you will do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams, potentially while mentoring more junior colleagues Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering 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 (For more experienced candidates) Passion and track record of managing, mentoring and coaching more junior colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects 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. Apply for this job To apply, please submit your information as requested in the application form. Fields include name, email, resume/CV, and other standard details as indicated in the form.
Nov 08, 2025
Full time
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. What you will do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams, potentially while mentoring more junior colleagues Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering 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 (For more experienced candidates) Passion and track record of managing, mentoring and coaching more junior colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects 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. Apply for this job To apply, please submit your information as requested in the application form. Fields include name, email, resume/CV, and other standard details as indicated in the form.
Note We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to build, deploy and maintain production-grade ML tools that are useful, and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in the cloud/on-prem that span data science, selecting the right libraries, frameworks and tools while making pragmatic product decisions that set delivery up for success. You thrive at the intersection of data science and software engineering, translating project outputs into tooling and products. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership of MLE pipelines, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving customer needs. This Role In this role, you'll work closely with our customers, as well as our team of Simulation Engineers, Data Scientists, and Software Engineers, to understand and define the engineering and physics challenges we are solving. You'll build the foundations for successful, impactful solutions by: Designing, building and testing data/ML pipelines, that are reliable, scalable and easily deployable in production environment. Productionising ML models and surrogates with clear validation, error analysis Exploring and manipulating 3D point-cloud and mesh data, applying graph/geometry-aware techniques where appropriate Working closely with simulation engineers to ensure seamless integration of data science models with simulations. Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as a technical lead, perfect for someone who is driven by taking ownership of more complex projects and leading the direction of future solutions. Benefits 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.
Nov 08, 2025
Full time
Note We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to build, deploy and maintain production-grade ML tools that are useful, and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in the cloud/on-prem that span data science, selecting the right libraries, frameworks and tools while making pragmatic product decisions that set delivery up for success. You thrive at the intersection of data science and software engineering, translating project outputs into tooling and products. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership of MLE pipelines, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving customer needs. This Role In this role, you'll work closely with our customers, as well as our team of Simulation Engineers, Data Scientists, and Software Engineers, to understand and define the engineering and physics challenges we are solving. You'll build the foundations for successful, impactful solutions by: Designing, building and testing data/ML pipelines, that are reliable, scalable and easily deployable in production environment. Productionising ML models and surrogates with clear validation, error analysis Exploring and manipulating 3D point-cloud and mesh data, applying graph/geometry-aware techniques where appropriate Working closely with simulation engineers to ensure seamless integration of data science models with simulations. Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as a technical lead, perfect for someone who is driven by taking ownership of more complex projects and leading the direction of future solutions. Benefits 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.
Principal Software Engineer - AI Workbench 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 The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation. The AI Workbench product group develops and maintains the modelling, optimisation, and inference components of the PhysicsX platform, creating efficient environments for model development and deployment by our ML Engineer and Data Scientist users. It works closely with our Research group to integrate new research into our modelling libraries and applications. What you will do Engage with the product managers, designers, and users of AI Workbench to fully understand the what and why of the product's functional requirements. Partner with the product leadership of AI Workbench to define the art of the possible with ambitious pragmatism, defining the how and when of product development. Take responsibility and accountability for the implementation of components and services by a team of software engineers and data-scientists, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows. Design and maintain services that are fully interoperable with PhysicsX's other platform services, while remaining independently versioned, tested, and deployed. Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams' prompt remediation of issues in production. Establish performance benchmarking to measure compliance with non-functional requirements, right size infrastructure requests, and provide appropriate SLAs. Participate in establishing company wide software engineering standards through engagement with the software engineering guild. Participate in the growth and development of software engineers. Participate in the recruitment and onboarding of software engineers. What you bring to the table A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft. A proven ability to act as an effective technical thought-partner to non-technical stakeholders. A proven ability to lead teams of software engineers in a fast paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making. A solid track record of designing, building, and maintaining application services in distributed architectures. Strong experience deploying applications on Kubernetes, leading to a high level of independence in writing IaC (Helm, Terraform, Crossplane) and CI/CD workflows (GitHub Actions, ArgoCD), and a focus on designing applications that leverage native Kubernetes resources over CSP managed services. Experience with workflow orchestration, event driven systems, and messaging (NATS, ArgoWorkflows). Proficiency in Python and a system language (Rust, C/C++). An understanding of the interactions between high level machine learning frameworks (PyTorch) and the low level accelerators (C/C++, most importantly CUDA/GPUs). Strong familiarity with overall Data Science and Machine Learning concepts (e.g. bias and variance, optimisers used in training neural networks, etc) and the machine learning development lifecycle. Ideally Experience with the Kubeflow ecosystem. Proficiency in Go. Some proficiency in TypeScript and React, as well as an understanding of frontend architecture patterns. 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.
Oct 30, 2025
Full time
Principal Software Engineer - AI Workbench 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 The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation. The AI Workbench product group develops and maintains the modelling, optimisation, and inference components of the PhysicsX platform, creating efficient environments for model development and deployment by our ML Engineer and Data Scientist users. It works closely with our Research group to integrate new research into our modelling libraries and applications. What you will do Engage with the product managers, designers, and users of AI Workbench to fully understand the what and why of the product's functional requirements. Partner with the product leadership of AI Workbench to define the art of the possible with ambitious pragmatism, defining the how and when of product development. Take responsibility and accountability for the implementation of components and services by a team of software engineers and data-scientists, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows. Design and maintain services that are fully interoperable with PhysicsX's other platform services, while remaining independently versioned, tested, and deployed. Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams' prompt remediation of issues in production. Establish performance benchmarking to measure compliance with non-functional requirements, right size infrastructure requests, and provide appropriate SLAs. Participate in establishing company wide software engineering standards through engagement with the software engineering guild. Participate in the growth and development of software engineers. Participate in the recruitment and onboarding of software engineers. What you bring to the table A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft. A proven ability to act as an effective technical thought-partner to non-technical stakeholders. A proven ability to lead teams of software engineers in a fast paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making. A solid track record of designing, building, and maintaining application services in distributed architectures. Strong experience deploying applications on Kubernetes, leading to a high level of independence in writing IaC (Helm, Terraform, Crossplane) and CI/CD workflows (GitHub Actions, ArgoCD), and a focus on designing applications that leverage native Kubernetes resources over CSP managed services. Experience with workflow orchestration, event driven systems, and messaging (NATS, ArgoWorkflows). Proficiency in Python and a system language (Rust, C/C++). An understanding of the interactions between high level machine learning frameworks (PyTorch) and the low level accelerators (C/C++, most importantly CUDA/GPUs). Strong familiarity with overall Data Science and Machine Learning concepts (e.g. bias and variance, optimisers used in training neural networks, etc) and the machine learning development lifecycle. Ideally Experience with the Kubeflow ecosystem. Proficiency in Go. Some proficiency in TypeScript and React, as well as an understanding of frontend architecture patterns. 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. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side by side with them on site) to embed cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production ready models and data pipelines. With 3 5 years of industry experience (post Masters of PhD) in a commercial, non research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state of the art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustly deployable in production environments. Leading cross functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2 3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2 3 days per week in our office. Benefits 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. Equal Opportunity Statement 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.
Oct 29, 2025
Full time
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. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side by side with them on site) to embed cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production ready models and data pipelines. With 3 5 years of industry experience (post Masters of PhD) in a commercial, non research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state of the art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustly deployable in production environments. Leading cross functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2 3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2 3 days per week in our office. Benefits 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. Equal Opportunity Statement 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.