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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 Data Scientist 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 transform cutting edge AI models into tools that are useful and used. You've worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. 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 data science work streams, continuously improving 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 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. You'll build the foundations for successful, impactful solutions by: Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed. Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work. Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments. Working closely with simulation engineers to ensure seamless integration of data science models with simulations. Contributing to internal R&D and product development, helping to refine models and identify new areas of application. Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 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 an individual contributor or a technical lead, especially if you're driven by taking ownership of more complex projects and leading the direction of future solutions. Please note, this role is based in London, working 2-3 days per week in our central office. 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.

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.

NLP PEOPLE in Blackwater, England, is seeking a Machine Learning Engineer to build and deploy ML solutions in production-grade engineering systems. The role involves maintaining the ML pipeline and translating complex problems into ML-driven solutions. Candidates should have strong Python skills and experience with real-world datasets, along with a minimum of 5 years in the field. The position offers the opportunity to work on technically challenging problems while collaborating with experienced engineers.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. We're proud to be a Living Wage accredited Employer. What You'll Do: The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world's most advanced engineering simulation and AI workflows - our ambition is to become the super intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high throughput data ingestion and feature pipelines to model training and real time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world's largest engineering companies. The Staff Data Engineer will own and evolve Monolith's platform data services and ETL offerings - the data onboarding, preparation, and lineage capabilities that turn fragmented, real world engineering data into production ready training and inference pipelines. You'll partner with Product, Engineering, and Customer facing teams to deeply understand client data challenges and translate them into scalable, self serve data platform features. About the Role: We're seeking a Staff Data Engineer who can own Monolith's data platform surface end to end: from offline batch pipelines and large historical backfills to low latency, real time streaming data flows that power online inference and feedback loops. You'll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets. You'll primarily work with internal teams (Product, Customer Success, Forward Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance. In this role, you will: Own Monolith's Data Platform & ETL Surface Lead the architecture and evolution of core data services for ingestion, transformation, validation, and lineage across training and inference workloads. Design and maintain end to end data models and schemas that make complex engineering, simulation, and telemetry data discoverable, reusable, and performant. Define standards, contracts, and APIs for how product teams and integrations interact with data services. Design & Operate Batch + Streaming Pipelines Build and operate batch pipelines for large scale historical imports, retraining data sets, and migrations from legacy environments. Design and implement streaming pipelines (e.g., using Kafka or similar technologies) for event driven or real time ingestion and transformation that support online inference, monitoring, and feedback loops. Select and integrate off the shelf, industry proven ETL / ELT technologies and own their rollout and long term operation. Champion Data Lineage, Governance & DataOps Implement and maintain end to end data lineage from source systems to derived features and model artifacts, enabling reproducibility, compliance, and faster debugging. Establish DataOps practices: CI/CD for pipelines, observability (metrics, logs, traces), and operational runbooks for data incidents. Help define data quality and governance standards in partnership with Security, Compliance, and Customer Success, including support for privacy and regulatory needs. Partner Across Monolith & CoreWeave Work with Monolith product and engineering teams to expose data services that unlock new user workflows and AI capabilities. Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage, compute, and observability for reliable data flows. Serve as a technical escalation point for forward deployed and customer facing engineers when questions go deeper than playbooks. Who You Are: Experience & Level 8+ years as a Data Engineer / Data Platform Engineer (or similar), owning production data pipelines and architectural decisions. Staff level impact: leading critical data domains and cross team initiatives. Data Engineering & Architecture Deep experience designing end to end data architectures covering ingestion, storage, transformation, serving, and observability. Hands on experience with both batch and streaming pipelines: batch (historical backfills, retraining) and streaming (Kafka or similar, low latency consumption). Proficiency with SQL and at least one major analytical database or data warehouse (PostgreSQL or similar), including schema design and performance tuning. Proficiency with Spark or Ray or similar distributed data processing frameworks. Solid understanding of data modeling (event logs, star schemas, feature tables) in multi tenant SaaS or platform contexts. Tooling & Ecosystem Hands on with data orchestration and ETL tooling (Airflow, dbt, Dagster, Temporal, or equivalents) and able to evaluate and recommend tools that fit our needs. Experience integrating and operating off the shelf data infrastructure, including rollout, migration plans, and ongoing ownership. Familiarity with cloud infrastructure and containerization (Docker, Kubernetes, at least one major cloud provider) for deploying and scaling data workloads. Data Lineage, Quality & DataOps Extensive experience implementing data lineage solutions for debugging, compliance, and auditability. Strong background in data quality: validation frameworks, monitoring, and guardrails that prevent bad data downstream. Proficiency with DevOps / DataOps practices: infra as code, CI/CD for pipelines, runbooks, on call incident response for data issues. Programming, Systems & Communication Strong programming skills in Python for building data services, transformations, and platform integrations. Comfortable working in service oriented architectures, reasoning about data contracts, SLAs, and failure modes across services. Clear written and verbal communicator able to explain data architectures and trade offs to internal stakeholders and occasionally client conversations. Preferred Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation, training, and inference workflows at scale. Background with time series, simulation, or experimental data (physical test benches, sensors, engineering simulations). Familiarity with feature stores, experiment tracking systems, or model registries and their integration with upstream pipelines. Experience designing data systems for regulated or safety critical domains, including privacy, residency, and retention considerations. What We Offer Family level Medical Insurance Family level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results.

Cloud Operations Manager - Cheltenham (3 days office based) About Finova Finova is the UK's largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that's driving innovation, enabling growth and shaping the future of UK lending. For Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs - all while staying fully compliant in a fast-moving market. About the Role: As the Cloud Operations Manager, you will be responsible for the day-to-day operational health, stability, and continuous improvement of the cloud-hosted environments for multiple clients within our product suites. You will bridge the gap between high-level cloud strategy and technical execution, ensuring that our production environments are resilient, secure, and performant. Acting as the primary authority for operational delivery within your remit, you will lead a team of Cloud Operations Engineers. You will maintain high service availability while driving modern practices such as automation, toil reduction, and proactive resilience testing. A core focus of this role is leadership: providing daily mentorship, administrative oversight, and clear career pathways for your team. You will hold responsibility for operational gatekeeping and readiness, directly influencing disaster recovery drills, security remediation, and the seamless transition of new features into stable production services. About you: Technical Foundation: Deep experience in managing high-availability production environments (AWS or Azure). You are a technically grounded professional with a passion for operational stability. Leadership Aptitude: Proven ability to mentor junior peers, lead technical projects, or act as a 'sounding board' for complex engineering challenges. (This role suits an experienced manager or a Senior Cloud Engineer ready for management). Resilience Mindset: A strong drive to replace manual bottlenecks with scalable, code-based solutions and an understanding of SRE principles. Event Coordination: Exceptional organizational skills with the confidence to facilitate cross-team events like disaster recovery simulations, pen tests, and post-incident retrospectives. Process & Compliance: Familiarity with ITIL and working in ISO-aligned environments. Detail-oriented approach to assessing vulnerabilities and maintaining industry standards. Communication Skills: Ability to translate technical metrics into clear availability and performance updates for engineering teams, senior leadership, external clients, and third-party partners. Collaborative Approach: Eager to partner with the Head of Cloud Ops, Platform teams, and Finance to build a high-performing, cost-effective engineering culture. What will you be doing? Operational Excellence & Service Management: Manage day-to-day capacity, priorities, and workloads to consistently meet availability and performance SLAs. Embed ITIL-aligned service management practices (incident, problem, and change processes) to drive continuous improvement. Team Leadership & Development: Own the capability and growth of your team through formal line management, coaching, and career development. Maintain a high-quality technical wiki and skills matrix to eliminate silos. Automation & Toil Reduction: Eliminate operational waste by identifying repetitive manual tasks and directing Senior Engineers to prioritize automation and self-healing infrastructure. Operational Gatekeeping: Conduct readiness checks on new releases to ensure they meet strict standards for monitoring, documentation, and long-term supportability. Resilience & Security: Facilitate regular Game Days, disaster recovery drills, and coordinate third-party penetration testing and remediation. Lead blameless post-mortems after significant incidents. Escalation & On-Call Management: Act as a senior escalation point for platform/application issues. Manage (and participate in/provide cover for) the out-of-hours on-call rotation for P1/P2 incidents and deployments. Compliance & Audit: Feed into the departmental risk register and coordinate evidence, controls, and documentation required for regulatory and customer audits (e.g., ISO 27001/ISO 9001). FinOps & Stakeholder Collaboration: Act as the primary point of contact for internal/external queries. Collaborate with FinOps/Finance to improve cost transparency, tagging discipline, and resource optimization. What We Offer: Hybrid working We operate on a hybrid model that is primarily office based, requiring three days in the office each week, with the flexibility to work remotely for the remainder. Private medical insurance Comprehensive health cover, with the option to add your family to your plan, because your well-being matters to us. Life assurance & income protection We provide life assurance and income protection to give you peace of mind for the future. Family friendly policies Our enhanced family-friendly policy goes beyond maternity and paternity leave, offering paid time off for when plans change or alternative paths to parenthood are needed. Work from anywhere Some thrive in the office, others at home - and many do best with choice. With approval, Finova employees can work abroad for up to 4 weeks each year. Flexible holiday package Enjoy 25 days paid holiday allowance, plus all public holidays. And, you can rebook any public holidays for a day that aligns with your personal beliefs or celebration calendar. We also offer holiday trading allowing you to purchase or sell your holiday allowance. Company pension scheme With salary exchange, you save on tax and can build a secure future. Employee assistance programme We understand that mental health is just as important as physical health. Access to a 24/7 confidential counselling helpline ensures you have support when you need it. Electric car scheme Get a brand-new electric vehicle with salary sacrifice as a benefit, paid for through your gross monthly pay, saving on Income Tax and National Insurance. Health cash plan Our Health Cash Plan empowers you to prioritise your wellbeing by providing effortless reimbursement for everyday healthcare costs, from dental and optical visits to physiotherapy. Gym discounts Achieve your fitness goals for less with GymFlex, which offers significant savings on annual memberships at over 3,000 gyms and leisure centres nationwide. Perks that matter We fuel your day with a fully stocked pantry of fresh fruit and snacks and keep the team spirit high with weekly socials and events. Equal Opportunity Statement We value diversity and are committed to creating an inclusive environment for all employees. If you're passionate about this role but don't meet all the criteria, please reach out, we'd love to discuss how your skills and experiences align with our needs.

Orbital uses AI to build data center hardware that outperforms the competition. Our AI simulates materials at the atomic level, tests millions of hardware configurations in the time traditional methods test hundreds and finds optimal designs - not just good ones. The result is shipped hardware with specs incumbents can't match: 1 MW/rack, PUE Every deployment generates field data that improves our AI models. Better models produce better hardware. Better hardware enables more capable AI. The loop is already closed and tightening with each build cycle. We are not just beneficiaries of AI progress, we are a lever on its rate. Data Centers are where we start, because the market is urgent and the specs are demanding. But the AI-accelerated development process we've built - materials discovery, hardware design, manufacturing optimization - applies to any complex physical system. Data Centers are the proof point, not the ceiling. We have sites in London, Canada and the USA, building teams across ML research, Product development, Mechanical engineering, and Chemical engineering. If you want to work where AI meets atoms, we'd like to hear from you. As a Staff Machine Learning Engineer at Orbital, you will architect cutting-edge AI systems for the multi-scale design of physical technologies. When we say multi-scale, we mean it: we build world-class foundation models for simulating both the microscopic motion of atoms and the macroscopic flow of liquids in 1GW data centers. We then co-design across these different scales using the ingenuity of our scientists and engineers, augmented with best-in-class domain agents. In this role you will set exceptionally high technical standards and drive projects from prototype through to production deployment. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. We also value low ego, and a genuine passion for using AI to solve major global industrial technology challenges. Key Responsibilities Set the technical bar and ensure engineering excellence Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands on coding and technical review Design robust, well engineered systems that others can build upon, balancing research velocity with production requirements Drive technical decisions on model selection, training approaches and deployment strategies Deliver high impact AI projects across diverse domains Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond Rapidly upskill in new technical areas through close collaboration with domain experts (no prior chemistry or materials experience required) Demonstrate strong implementation skills through hands on development, contributing significantly to the codebase Balance research rigour with pragmatic engineering to deliver production ready systems at scale Push the frontier of ML research Design and implement novel ML architectures for complex scientific domains, with work that meets publication standards at top tier conferences Drive research projects from conception through to deployment, showing initiative and technical depth Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning What We're Looking For ONE of: 5+ years of professional experience in ML/AI research or engineering. A relevant PhD + 2 years of professional experience in ML/AI research or engineering. Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade offs An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations A genuine interest in building AI systems that enable breakthrough scientific and industrial applications Upon reading Hamming's You and Your Research, you resonate with quotes such as: "Yes, I would like to do first class work" "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'" "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class" Bonus Experience with physics informed or chemistry focused AI applications. Experience building or fine tuning large language models. Experience with agent based systems, tool use or agentic workflows. Contributions to open source ML projects or published research. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Job Req ID: 57747 Posting Date: 14/04/2026 Function: Software Engineering Location: Bristol, London Working Style: Hybrid (3 days a week in office, 2 days from anywhere) About the role BT is industrialising network operations through data driven AIOps and a cloud based Common Data Fabric (CDF). The CDF ingests vendor performance data, governs schemas and KPIs, and powers analytics; AIOps adds multivariate anomaly detection (AD) and explainable, topology aware root cause analysis (RCA) so Ops teams detect earlier, diagnose faster, and understand service impact with confidence. The target stack is AWS native and includes streaming (MSK/Flink), data processing (EMR/Spark), governed storage and metadata (S3, DynamoDB, Aurora/Redshift/Iceberg), and ML/MLOps with SageMaker; RCA complements this with graph reasoning in Neptune and agentic explainability via Bedrock. We are looking for 2 Cloud Engineers- AWS to join our teams at each location- 1 London & 1 Bristol. What you'll be doing Use Terraform/CloudFormation to deploy reusable modules for all AWS components (MSK, Flink, EMR, S3, DynamoDB, Aurora, EC2, Neptune, SageMaker, networking, IAM). Implement automated CI/CD pipelines using GitLab/Jenkins for IaC, services, data pipelines, ML models, and inference deployments. Enforce deployment safety with safeguards: approvals, unit/integration tests, automated rollbacks, compliance checks. Implement multi AZ VPC architectures with private subnets, NAT, routing, endpoint policies, and secure on prem connectivity (Direct Connect/VPN). Engineer governed multi layer data storage using S3 (raw/curated), DynamoDB (metadata/state), Aurora/RDS (relational stores), Redshift/Iceberg (analytical stores). Apply advanced AWS security practices including: IAM least privilege, KMS encryption, secrets management, CloudTrail governance, Config rules, GuardDuty/Security Hub integration. Build end to end observability across pipelines using: CloudWatch metrics/logs/alarms, OpenTelemetry for distributed tracing (where applicable), data quality and pipeline SLIs/SLOs. Develop runbooks, playbooks, synthetic tests, chaos testing, failover simulations, and incident triage workflows. Operate AWS Neptune graph clusters for network topology representation. Promote software releases to pre production and production environments and ensure a smooth transition to ASG. Define standards for documentation, change management and quality gates that reduce MTTR and improve platform reliability. Essential Skills / Experience Full understanding of AWS resilience patterns, AWS backup, and how to manage incident response with break glass approaches as needed. Full detailed knowledge of Lambda, including runtimes, packaging, storage, concurrency, retries and dead letter queues. Extensive hands on experience with AWS CLI and working knowledge of python. Strong AWS experience, particularly with Compute, Data bases and Streaming services like MSK, Flink, S3, DynamoDB, Aurora/RDS, Redshift, Lambda etc. Sound understanding of VPCs, Route tables, IGW, NAT, ACL's, Endpoints, Transit Gateway, DNS, VPC endpoints. Experience designing observability for serverless systems (logs/metrics/traces) and implementing distributed tracing and dashboards using open standards and AWS tooling like Cloudwatch. Understanding of how IAM roles and policies work. Ability to perform deep dive using CloudWatch & X Ray for troubleshooting (covering logs, metrics, alerts, traces, filters, agents etc.) Desirable Skills / Experience Familiarity with event driven architectures (Step Functions, EventBridge, queues), and "shift left" quality practices (automated testing, policy as code, guardrails). Comfortable leading incident deep dives and contributing to permanent fixes. Relevant AWS certifications. Pragmatic engineer who automates wherever possible to reduce toil. Strong analytical thinking and structured problem solving skills. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include: 10% on target annual bonus Access to an online private GP 24/7 for you and your immediate family Market leading paid carers leave with up to 2 weeks off Equalized maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay Discounted EE and BT products, including mobile and broadband Market leading Pension scheme - 5% from you and 10% from us Holiday purchase scheme You can select additional benefits, including healthcare, dental, gym memberships and more when you're ready. Ready to connect for good and help shape the future? Apply now BT Group is the UK's leading communications group and the holding company behind some of the country's most recognised brands - including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers. BT Group's role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive. Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next - simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best. We have a singular culture that unites all our people: we are customer first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country's most important companies.

.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.

Evolito's mission is to accelerate the adoption of electric propulsion in aerospace applications in support of a net-zero world. We will help to revolutionise personal mobility and transform our towns and cities with clean, noise-free air transportation. Evolito develops and manufactures class-leading, lightweight, high-power, and high-torque-density electric propulsion systems for a range of aerospace markets, including EVTOL, Unmanned Aerial Vehicles and General Aviation. As well as ultra-high performance, low-weight electric motors and controllers, Evolito specialises in high integrity, bespoke battery systems for the aerospace and defence markets. The team is scaling rapidly and has ambitious growth plans over the next twelve to eighteen months. Key Responsibilities Develop and implement industrial system ways of working (process, methods and tools) to contribute to the development of an end-to-end digital design to manufacturing system approach Drive towards the best practice of connected industry 4.0 solutions linking to our Siemens MES Work with Industrial Engineers on discrete event simulations to analyse production rates across processes, assess material flow, identify buffer requirements, and optimize overall factory throughput Collect and define lean line design guidelines and best practices to be applied on existing and new industrial systems, ensure seamless connectivity of machines to enable process control and traceability Increase the knowledge and autonomy of manufacturing communities by supporting the implementation of the industrial system design way of working and best practices in manufacturing areas including the engineering community Work closely with internal ME, Planning, Engineering and IT teams on overall system architecture development and process improvement Evaluate current and future industrial solutions, give recommendations and drive CAPEX proposals Educate, coach and lead multi-functional teams on key industrialisation topics and processes Own and develop the industrial system design processes on the Evolito BMS Qualifications Degree in Manufacturing Engineering, Industrial Engineering or equivalent qualifications and experience Ability to demonstrate operational experience in the implementation and optimisation of industrial systems (design phase, implementation, management of production processes) Strong experience in project management, including multifunctional/multicultural teams Strong knowledge of industrialisation principles Strong knowledge and understanding of manufacturing processes Knowledge of production management Experience/knowledge in lean manufacturing principles (VSM, etc.) and variance analysis (6 Sigma) Experience in discrete event simulation modeling (e.g. plant simulation, AnyLogic or other similar DES tool) Scientific programming skills - broad knowledge is valued over specific tool expertise (SimTalk, Java, or Python is advantageous) Ability to support and plan for future opportunities/volumes, whilst having the ability to manage day-to-day activities Ability to work under pressure while managing conflicting demands against tight deadlines Instinctive problem solving skills coupled with a sound analytical approach Ability to communicate complex and technical processes to diverse audiences, orally and in writing A flexible approach to work and the desire to thrive in a dynamic, fast moving environment Good verbal and written communication skills UK driving license and ability to travel

Bind Research is an innovative not-for-profit research organisation at the forefront of developing tools and datasets to characterise small-molecule interactions with intrinsically disordered proteins. Based just a short walk from Kings Cross station, Bind leverages interdisciplinary methods that span experimental biophysics - with a strong focus on nuclear magnetic resonance (NMR) spectroscopy - as well as computational approaches and cellular studies. You will play a crucial role in shaping the future of this cutting-edge research initiative. Join Bind Research and help push the limits of drug discovery for intrinsically disordered proteins. If you are dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models for highly complex and heterogeneous scientific data such as from nuclear magnetic resonance (NMR), deploying and productionizing these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches using cutting-edge architectures Software Engineering Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices Utilise active learning, Bayesian, and bootstrapping methods to achieve robust performance in low-data regimes, and make use of distributed training methodologies for large models Build model-deployment and job-launching systems for internal and external use Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation Assist in optimising data collection practices in both computational and experimental teams Mentor and support Bind's interdisciplinary team in machine-learning and data analysis methods Driving Innovation Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies Contribute to the design and execution of cutting-edge machine learning and NMR research projects that advance Bind's scientific mission Thrive in a dynamic, start-up-style environment where initiative and flexibility in your role are valued. Qualifications and Expertise We encourage applications from software engineers, scientists, and individuals with relevant transferable skills who are enthusiastic about our mission to make disordered proteins druggable, even if they do not meet every requirement listed below. We believe innovation thrives through diverse perspectives and welcome candidates from both academic and industry backgrounds. Education and Experience MSc in a technical field with 3 years of machine learning or model-building experience or a PhD with a similar focus Extensive knowledge of machine learning approaches, neural network architectures, training methods, and data preparation best practices Experience in applying machine learning and modelling techniques to graph-based data such as molecules and proteins, as well as time series Strong dev-ops skillset, with proficiency in model deployment, versioning, distributed architectures, and containerization Track record of completed scientific software projects or open-source project contributions Skills and Abilities Strong written and verbal communication skills, with the ability to communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices: code testing, documentation, packaging and deployment, version control using Git, containerization Proven ability to process, analyse, and present large and complex datasets using techniques such as clustering and dimensionality reduction Additional Attributes A collaborative mindset and an enthusiasm for interdisciplinary teamwork A strong engineering mindset: you believe ease-of-use, reproducibility, maintainability, and clear documentation are key requirements for scientific software and allow complex projects to gain results faster Dedication to continuous professional development in machine learning, dev-ops, programming, and a willingness to learn more about experimental biophysical methods Passion for contributing to the establishment and growth of a world-class not-for-profit research organisation Nice to Have Knowledge of NMR spectroscopy and associated data processing pipelines Familiarity with simulation techniques such as molecular dynamics or Monte Carlo approaches, as well as an understanding of statistical mechanics and complex systems Ability to use HPC and / or cloud computing and building automation and orchestration systems for these platforms Proficiency in a low-level language such as C, C++, or Rust and in GPU frameworks like CUDA Competence in front-end web design to allow easy interfacing with large datasets Our Culture Follow the science. We prioritise rigorous scientific inquiry, relying on evidence and expertise to guide decisions and actions, incorporating the latest research to achieve meaningful, ethical, and impactful outcomes for the public and scientific community. Think dynamically. We believe the most effective solutions come from a dynamic, adaptable mindset that embraces uncertainty as a catalyst for discovery, encouraging creativity, challenging assumptions, and approaching problems from multiple angles to foster innovation, navigate complexity, and deliver exceptional results. Celebrate a diverse ensemble. We celebrate diversity and inclusion, fostering a culture where all perspectives, backgrounds, and talents are valued, respected, and empowered to thrive, enabling us to better understand our community, collaborate effectively, and deliver impactful solutions. Build an innovation hub. We strive to advance disordered protein research by creating and sharing tools and datasets collaboratively, building on past contributions, and working alongside the disordered protein community to deepen understanding and maximise collective impact. What We Offer 38 days holiday (inclusive of bank holidays) Employer pension contribution in line with market standards Cycle to work scheme Life insurance Additional information The interview process will begin with a phone screen. Successful candidates will then be invited to more comprehensive technical and cultural interviews. To apply send your CV and cover letter to with the reference number BRJ017 and your name in the email header. Join Bind Research and help push the limits of drug discovery for intrinsically disordered proteins! We are committed to protecting your personal information. For full details on how we collect, use, and store your data during the recruitment process, please refer to our Privacy Notice .

Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our "search engine" for next generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on demand materials era. Join us. The Role Due to expansion into a new area, we are seeking a Scientific Software Engineer (Polymer Simulations) to bridge the gap between our frontier AI models and real world industrial materials challenges. You will build our atomistic polymer simulation capability from the ground up by designing the workflows, establishing the methodology, and setting the standard for how simulation integrates with our AI platform and experimental partners. This foundational work will directly underpin how CuspAI bridges the atomic scale and the macroscopic properties that determine whether a material succeeds or fails in the real world. What You Will Do Method Development & Research Design and implement atomistic simulation workflows for polymer systems from polymerisation and melt equilibration through to production runs. Reach beyond MD and implement complementary simulation techniques to tackle complex industry problems. Collaborate with our AI Research team to integrate machine learning models into atomistic simulation workflows, helping bridge the gap between learned representations, simulations, and experiments. Experimental Validation & Partner Collaboration Work closely with experimental partners to ensure simulation outputs are grounded in and validated against real lab measurements - trends must be reproducible, and results must be explainable. Translate partner materials challenges into concrete simulation strategies, then execute and deliver findings with the clarity and rigour that industrial collaborations require. Interdisciplinary Collaboration Act as internal expert on polymer science, providing guidance to AI researchers on physical constraints and realistic material behaviours. Work fluidly across a team of ML researchers, computational chemists, and experimentalists - contributing independently while building on a wide base of complementary expertise around you. Contribute to CuspAI's core infrastructure and roadmap for multi scale materials discovery. Must Have Skills and Qualifications: Extensive expertise in polymer simulation. You've worked across multiple projects and know from experience what breaks and why. You don't just run simulations; you understand them. Hands on experience with mapping simulations onto experiments, including proven ability to reproduce and explain real life trends. The ability to build simulation workflows from scratch. We need someone who can design and implement methods, not just configure existing pipelines. When the right tool doesn't exist, you write it. Readiness to reach beyond your primary toolkit. Polymer simulations are intrinsically multi method, multi scale, and multi discipline, and we expect you to be able to pick up and implement approaches as the science demands. Strong software engineering skills, with proficiency in Python, large scale projects, and hands on experience with simulation packages such as GROMACS or LAMMPS, and ASE or commercial equivalents. The communication skills to work effectively across disciplines - AI researchers, computational chemists, and experimentalists will all be your collaborators. Bonus Points (But Not Critical): A PhD or equivalent in Materials Science, Physics, Chemistry, or Chemical Engineering, with a focus on multi scale or polymer modelling. Prior experience in AI4Science such as generative molecular models, machine learning force fields, or property predictions. Familiarity with first principles simulation methods. Experience with HPC environments or cloud based simulation at scale. Prior experience in a startup or client facing technical role. Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work. What We Offer A competitive salary: We value and reward impact and growth. Equity in CuspAI: You have a stake in the success of the company. Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays. 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together. Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth. Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate related problems through the creation and application of bleeding edge SOTA technology and revolutionary techniques. True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world class researchers and engineers who enjoy sharing knowledge and supporting each other. Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.

About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. OLIX is building this next paradigm; the Optical Tensor Processing Unit (OTPU) achieves performance and energy efficiency that is impossible to match from existing chips. The Role: OLIX is developing next-generation optical interconnect architectures for AI data centers, including chip-to-chip, inter-tray, intra-tray, and rack-to-rack optical links. We are seeking Principal and Staff Optical Interconnect Engineers with deep experience in optical communications and co-packaged optics (CPO) to help design and deliver scalable, high-bandwidth interconnect systems. The candidate will be joining a dynamic fast paced team here intent on breaking all the rules and old paradigms. This optics role sits at the intersection of optics, ASICs, high-speed electronics, packaging, and algorithms. You will work on tightly integrated electro-optic systems optimized for bandwidth density, ultra-low latency, power efficiency, thermal performance, reliability, and high-volume manufacturability. We are looking for an optical engineer who is equally comfortable discussing link budgets and Maxwell's equations and physically aligning fiber arrays. Someone who moves fluidly between simulation, lab validation, and manufacturing constraints. A builder who enjoys solving real implementation problems, and not just designing on paper. A technical leader who stays close to the details. We are hiring at both Senior and Staff levels as we build a world-class optical systems team. Responsibilities Optical Interconnect & CPO Architecture Define high-bandwidth optical interconnect systems spanning 1. In-tray (chip-to-chip), 2. Intra-tray, and 3. Rack-to-rack links. Contribute to co-packaged optics (CPO) architectures integrating photonics intimately to high-performance ASICs for optimized latency and connectivity. Develop scalable link strategies across fiber, integrated waveguides, and planar-light-wave circuits (PLC) Own system-level link budgets including insertion loss, coupling loss, bandwidth, BER, power, and thermal margins and requirements for lasers and receivers. Balance bandwidth density, power consumption, reliability, and serviceability constraints. Co-Design Collaborate closely with opto-mechanical, ASIC, mixed-signal, RF, and DSP teams on electro-optic interface definitions Participate in co-optimization of Modulation formats, Equalization strategies, Laser integration approaches, Driver and Receiver architectures Contribute to system modeling across high-speed VCSELs, optics, detectors, electrical channels, packaging, and signal processing layers Analyze trade-offs between optical reach, power budget, and electronic complexity Familiar with state-of-the art rapid optical prototyping tools, especially as it pertains to PLCs and micro-optics. Fiber, Waveguides & PLC Systems Design and optimize high-density fiber-optic interconnects Develop and analyze integrated waveguide-based links Design Planar Lightwave Circuits (PLC) for routing, splitting, tapping, multiplexing, in/out coupling, and signal distribution. Optimize fiber-to-waveguide and fiber-to-package coupling strategies for both multimode and single mode waveguides. Address packaging constraints including alignment tolerances and connector strategies CPO Packaging, Thermal & Reliability Considerations Contribute to on-package and near-package photonic integration strategies Evaluate thermal interactions between ASICs and photonic devices Address serviceability, repairability, and field-replaceability trade-offs in CPO architectures Drive tolerance and reliability analysis for high-density optical packaging Partner with mechanical and thermal teams to ensure robust system integration High-Speed Validation & Production Readiness Define validation strategies for Tbps-class optical links based on various multiplexing schemes (spatial, wavelength, modulation) Analyze insertion loss, return loss, crosstalk, bandwidth, and noise performance Correlate system simulations with lab and pre-production results Drive Design for Manufacturing (DFM) for co-packaged and high-density optical assemblies Support pilot builds and production ramp, resolving yield and variability issues Skills & Experience PhD in Optics, Photonics, Electrical Engineering, Physics, or related field with significant industry experience, or Master's degree with 6-10+ years of relevant industry experience Demonstrated experience shipping optical communication systems into production Experience with high-speed optical communication systems (telecom or datacom) Familiarity with co-packaged optics (CPO) or on and near-package photonic integration Experience with high-bandwidth transmit/receive architectures Understanding of link budgets, BER performance, and noise mechanisms in dense environments Strong background in Fiber optics, Integrated waveguides, Planar Lightwave Circuits (PLC), and free-space optics Experience with high-density coupling strategies Familiarity with photonic packaging challenges at scale Experience collaborating across optics, ASIC, RF, DSP, and packaging domains Ability to reason about trade-offs across optical, electrical, and algorithmic layers Strong system-level modeling skills Experience applying Design for Manufacturing (DFM) principles to optical systems Understanding of tolerance-driven yield impacts Experience working with foundries, OSATs, or contract manufacturers Exposure to hyperscale data center reliability requirements is a plus Compensation & Equity Competitive Salary: £162,000 to £198,000 commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer a £24k annual Living-Local Bonus if your residence is within 20 minutes of the office. Health & Wellbeing Premium Healthcare: Comprehensive BUPA medical and dental cover, including Medical History Disregarded (MHD), for complete peace of mind. Time Off: 25 days of annual leave, plus all UK bank holidays. The Workspace & Tech Elite Hardware: M4 Macs come as standard, with M4 Pro upgrades for our engineering team. We will provide whatever you need to do your best work. Optimal Environment: High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus. Rapid Prototyping: Access to our high-performance 3D printing lab for work, experimentation, and personal creative projects. Life at the Office Chef-prepared meals: if you need to work late. Caffeine on Us: We've got you covered with a tab at our favourite local coffee shop. Relocation & Global Mobility Visa Sponsorship: We hire the best in the world. We offer full UK and international visa sponsorship. Seamless Relocation: Whether you're moving across the country or across the globe, our dedicated relocation partner provides funding and concierge support to get you settled. Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

Virti is a multi-award-winning cloud-based training platform that helps enterprises create, scale and analyse training experiences. Virti is truly scalable and provides equity of access for users. Our cloud-based learning management system houses our Creation Suite and Analytics Engine and allows for distribution across desktop, mobile and virtual and augmented reality headsets. Our Analytics Engine uses artificial intelligence to turn subjective feedback into objective data with unique data science insights and predictive analytics on training performance. We're not just software; we are L&D professionals, UX specialists and content creators and provide help with implementation, content creation, bespoke projects and deployment and support. We use virtual reality, 360 videos, 2D video for simulations, artificial intelligence and gamification to help employees learn faster and remember training for longer. With a mission to elevate performance through immersive digital training experiences, we are crafting the future of learning for corporations, healthcare, education, and the public sector. A TIME Best 100 Invention company, we have been featured on the Nasdaq Tower in Times Square and have won multiple awards while scaling up fast; now a global company with customers in North America, EMEA and APAC. About the Team You will work in a dynamic start-up, collaborating with award-winning teams where a curious, ambitious mind and passion for technology will help you succeed. Contributing to a small, dedicated, and growing, team of developers, who have a wide variety of technical experience. You will immediately impact important projects helping to deliver highly innovative technical solutions for Virti's clients to help their staff learn in a more immersive and visceral way. About the Role Lead exciting new projects on the Virti learning management system where you will design, make scalable and efficient, using cutting edge web technologies such as WebRTC. Spearheading a new and impactful technology whilst working closely with our backend developer to kick start projects, you will play a key role in expanding the Virti product offering. What You'll Do Work across the full stack to create educational and real-time communication systems, Collaborate with other members of the engineering team on cross projects, Have ownership and autonomy of greenfield project, Implement and follow best practices regarding code implementation, CI and testing processes to ensure robust and production-ready deployment. Who You Are Independent, a leader and autonomous in your work, Experienced in developing and deploying commercial React projects using state management systems such as Redux, Experienced in backend systems, NodeJS as well as JavaScript and ES6, and strong HTML and CSS skills (including responsive web principles and flexbox), Experienced in working with large, complex data structures and database management such as NoSQL, SQL, As a nice to have, experience in cloud computing paradigms such as serverless, event-driven architecture, infrastructure as code, An interest or some experience in web technologies such as WebRTC, HTML Canvas, WebGL. Commitment to diversity Virti is committed to building as diverse a team as possible. We do not discriminate based on age, race, gender identification, sexuality, religion, political persuasion or anything else. Benefits of working for Virti Our values; be Bold , be Fast , be Amazing , Our culture rewards dedication, ambition and execution, Investment in your growth (coaching, live education, PDP investment), Competitive pay, pension and excellent benefits, 25 holiday days a year (plus one for your Birthday), Flexible working hours, Remote work bursary, home office setup and remote work-friendly.