Research Data Engineer

Senior Simulation Data Engineer

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. THE ROLE The Senior 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 DATA PIPELINE ENGINEERING * 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 Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition 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.

Software Engineer (Data Services), London

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  This is an exciting opportunity for versatile software engineers to be working in a fast-paced and research-facing environment within a small team. You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power of AI. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution. WHAT YOU WILL DO Depending on your experience and background, you can be expected to work on one or more of the following domains: * Software engineering of data services for data storage and integration layers * Ingestion, transformation and serving of scientific data for scientific applications * Building a state-of-the-art platform for conducting research with high velocity and reliability * Collaboration with scientist and ML researchers on project work SKILLS AND QUALIFICATIONS  ESSENTIAL * Experience in data engineering and service-oriented architectures * Extensive software engineering experience with software design and architecture skills * Extensive enterprise programming experience writing production code using Python * Experience building, deploying, and maintaining secure and scalable production systems on GCP * Experience with Kubernetes and cloud computing * Demonstrated ability to work in multi-disciplinary teams and environments * Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed * Demonstrate ongoing career progression / trajectory and a passion for learning * Msc in computer science, or equivalent experience NICE TO HAVE In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications: * Experience with the management of scientific and experimental wet lab data in a pharma context * Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data * Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT * Experience designing, implementing and maintaining relational data models with Python-based interfaces * Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless 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) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Senior Software Engineer, C++

Flow Traders

Flow Traders is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy. As a senior individual contributor, you'll help set the technical direction for the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues - and drive its global rollout across our Market Data, Quant Research, Pricing, and Strategies groups. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward state-of-the-art performance, robustness, and observability.   WHAT YOU WILL DO: * Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies). * Design and implement high‑performance components for market data ingestion, normalization, and distribution, as well as its usage for order execution and strategy infrastructure. * Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies. * Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production. * Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation.   WHAT YOU NEED TO SUCCEED: * BSc, MSc, or PhD in Computer Science, Mathematics, or a related field. * 7+ years of post‑graduation professional C++ software development experience. * Experience building low‑latency market data ingestion, order execution, and algorithmic trading systems (proprietary trading industry preferred). * Strong knowledge of algorithms and data structures. * Experience in parallel, asynchronous, and multithreaded programming. * Demonstrated ability to write clean, reliable, and highly scalable C++ code. * Interest in extracting maximum performance from available hardware and software (CPU caches, memory layout, networking, etc.). * Ability to communicate effectively with both technical and non‑technical colleagues.   Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders