31 jobs found

Senior Research Software Engineer Architect and develop software across the full quantum control stack for high-performance hardware Location: Cherwell District, England, United Kingdom; Vale of White Horse, England, United Kingdom About The Role Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables 'quantum everywhere' through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.

Senior Research Software Engineer Architect and develop software across the full quantum control stack for high-performance hardware Location: Cherwell District, England, United Kingdom; Vale of White Horse, England, United Kingdom About The Role Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables 'quantum everywhere' through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.

In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety critical or highly regulated industries to solve critical, complex, and high stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary The Senior Software Engineer (Backend) is a full time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digiLab's core product, The Uncertainty Engine. It encompasses a broad range of responsibilities that leverage expertise in software engineering and machine learning, with a strong focus on Python development within a fast paced, collaborative, and dynamic engineering environment. The Role As a Senior Software Engineer (Backend) at digiLab, you will be responsible for: Collaborate with a cross functional team to help lead on the design, development, and maintenance of high quality software solutions Contribute to architectural design, development, testing, and deployment of software applications Utilise expertise in AWS, Python, MongoDB, and other relevant technologies to build scalable, secure systems Apply security best practices throughout the software development lifecycle Foster a collaborative, learning oriented environment within the team Implement software design patterns, SOLID principles, and architectural best practices Demonstrate a deep understanding of CI/CD pipelines and ensure efficient deployment processes Apply site reliability engineering knowledge to enhance system reliability and performance Champion "Scrum" and contribute to team process improvements Collaborate with product management to translate business requirements into technical solutions Provide technical support and lead incident investigations Ensure adherence to RESTful API design principles In addition to backend work, you may also be required to support tasks on the frontend. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills & Experience Significant industry experience in (scientific) software development Demonstrable experience deploying AWS infrastructure as code Experience with DevOps and MLOps Degree level qualification in computer science or related field Professional experience with collaborative software development Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub and best practices Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end to end) Experience with Docker and other containerization platforms Proven ability to collaborate in a fast paced "agile" team, preferably using "scrum" Nice to Haves A Master's level qualification in a STEM field. Experience with front end development: HTML; CSS; React; Javascript/Typescript. Experience with UI/UX design principles. Experience with PyTorch or other deep learning libraries. An understanding of Bayesian statistics. Location On site. As an ambitious, rapidly growing start up, we're looking for proactive, adaptable people who thrive in a fast paced environment. Our standard working hours are 9.00-5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs. Our Culture and Values At digiLab, we prioritise work life balance with a 4 day workweek (Monday to Thursday), offering a full time salary and three day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding. We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement. Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation. Open & Honest Collaboration: Ensuring transparent communication and alignment. High Performance Standards: Continuously challenging ourselves to excel in delivery. Value Driven Work: Regularly assessing our contributions toward company goals. Benefits 4 day working week Competitive Salary BUPA private health care (via salary sacrifice) Company Cashplan Cycle to work scheme Referral Program Company Events Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.) Equal Opportunities digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non discrimination seriously. Final Note We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.

The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details

Job Overview At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work extends across multiple areas including physical stores, online, finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team's expertise; knowledge sharing events are held regularly. Furthermore, we offer a great work life balance, regular team days and a relaxed yet engaging culture. This is a hands on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. Responsibilities Design and improve deep learning and related machine learning forecasting models for large scale retail time series. Build robust training and backtesting pipelines (time aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering, product, and business partners to ensure models are reliable, scalable, and deliver measurable business value. We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles. Meaningful academic or industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation learning for time series is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred). Experience training and deploying deep learning models in cloud environments (including GPU enabled workflows) is a strong advantage. Equal Opportunity Statement We're proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. Working Patterns We're a big business and we can offer a range of diverse full time & part time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Forward Deployed Applications - Senior Software Engineer London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high-fidelity multi-physics simulation through AI inference. We're looking for a Senior Software Engineer with a strong background in building data platforms. You won't just be moving data from A to B - you'll be architecting and building the distributed systems, services, and APIs that form the backbone of our platform. You'll bridge the gap between complex physical simulations and modern data infrastructure, implementing storage solutions for AI/ML pipelines and creating the analytical layers that allow our engineers to visualise and understand their results. As a senior engineer, you'll shape technical direction by authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This role is for builders who love coding robust software as much as designing efficient data architectures. What You Will Do Design and architect scalable distributed systems, microservices, and APIs for high-dimensional simulation data across the machine learning lifecycle - from data processing and model training to inference services. Build and maintain systems that execute user-submitted code safely, robustly, and securely - including sandboxing, resource isolation, and access controls. Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing - powering active learning loops. Build interoperable no-code and pro-code tools for enterprise users with varying skill levels. Architect and integrate modern Data Warehouses, Data Lakes, and high-performance storage solutions to handle the unique demands of complex simulations, multimodal data and deep learning workloads. Build internal tools that enable BI dashboards and scientific data visualizations, making large datasets intuitive and accessible. Define system architecture for new capabilities, making trade-offs across performance, reliability, cost, and developer experience. Own your work end-to-end - from architectural design through deployment and maintenance in a fast-paced, agile environment. Define reliability guarantees, quality of service metrics, and performance standards for the services you own. Proactively diagnose and resolve complex performance bottlenecks. Develop and enforce API schema standards and schema drift mitigation strategies. Ensure compliance with established patterns for security, data segregation, and access control. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments. Author and review Technical Decision Records. Participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior and mid-level engineers, facilitate technical discussions, build consensus around architectural decisions, and translate research needs into well-defined technical requirements. Influence engineering roadmap and contribute to technical strategy beyond your immediate team. What you bring to the table A passion for the craft - you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations - solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang or Rust and Python. Distributed systems and data engineering experience - proven track record building big data processing platforms in production, moving beyond scripting to robust engineering solutions (e.g., Databricks/Delta Lake, Snowflake, BigQuery). Hands-on experience architecting Data Warehouses and Data Lakes. API and service design maturity - experience designing multi-service systems with attention to schema governance, forward compatibility, and data access patterns. User code execution - experience building systems that run user code safely, robustly, and securely, with an understanding of sandboxing, isolation, and threat models. Multimodal data handling - experience working with storage engines or databases that handle diverse data types, including relational data, vector embeddings, and large binary blobs. Security awareness - familiarity with designing for security requirements and participating in security testing and compliance workflows. Reliability and observability mindset - experience providing QoS guarantees, implementing monitoring and alerting, and optimising observability in production. CI/CD and deployment expertise - hands-on experience building and optimizing CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments. Diagnostic and optimisation skills - proactive approach to diagnosing performance bottlenecks in data processing and storage systems. Communication and leadership - excellent communication skills to understand data needs from research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Incremental mindset - you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming - deep expertise in Python and mastery of high-performance compiled languages like Golang, C++, or Rust. Big data scale - experience designing and maintaining big data systems, with a track record of running complex analytics on massive datasets in production. Domain knowledge - understanding of 3D geometry processing (meshes, point clouds) and data structures used in physics-based simulations. Advanced testing - experience with fuzzing, deterministic simulation testing, or fault injection in production systems. Kubernetes expertise - ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, ArgoCD, Helm charts). Infrastructure flexibility - understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high-fidelity multi-physics simulation through AI inference. We're looking for a Senior Software Engineer with a strong background in building data platforms. You won't just be moving data from A to B - you'll be architecting and building the distributed systems, services, and APIs that form the backbone of our platform. You'll bridge the gap between complex physical simulations and modern data infrastructure, implementing storage solutions for AI/ML pipelines and creating the analytical layers that allow our engineers to visualise and understand their results. As a senior engineer, you'll shape technical direction by authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This role is for builders who love coding robust software as much as designing efficient data architectures. What You Will Do Design and architect scalable distributed systems, microservices, and APIs for high-dimensional simulation data across the machine learning lifecycle - from data processing and model training to inference services. Build and maintain systems that execute user-submitted code safely, robustly, and securely - including sandboxing, resource isolation, and access controls. Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing - powering active learning loops. Build interoperable no-code and pro-code tools for enterprise users with varying skill levels. Architect and integrate modern Data Warehouses, Data Lakes, and high-performance storage solutions to handle the unique demands of complex simulations, multimodal data and deep learning workloads. Build internal tools that enable BI dashboards and scientific data visualizations, making large datasets intuitive and accessible. Define system architecture for new capabilities, making trade-offs across performance, reliability, cost, and developer experience. Own your work end-to-end - from architectural design through deployment and maintenance in a fast-paced, agile environment. Define reliability guarantees, quality of service metrics, and performance standards for the services you own. Proactively diagnose and resolve complex performance bottlenecks. Develop and enforce API schema standards and schema drift mitigation strategies. Ensure compliance with established patterns for security, data segregation, and access control. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments. Author and review Technical Decision Records. Participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior and mid-level engineers, facilitate technical discussions, build consensus around architectural decisions, and translate research needs into well-defined technical requirements. Influence engineering roadmap and contribute to technical strategy beyond your immediate team. What you bring to the table A passion for the craft- you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations- solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang or Rust and Python. Distributed systems and data engineering experience- proven track record building big data processing platforms in production, moving beyond scripting to robust engineering solutions (e.g., Databricks/Delta Lake, Snowflake, BigQuery). Hands-on experience architecting Data Warehouses and Data Lakes. API and service design maturity- experience designing multi-service systems with attention to schema governance, forward compatibility, and data access patterns. User code execution- experience building systems that run user code safely, robustly, and securely, with an understanding of sandboxing, isolation, and threat models. Multimodal data handling- experience working with storage engines or databases that handle diverse data types, including relational data, vector embeddings, and large binary blobs. Security awareness- familiarity with designing for security requirements and participating in security testing and compliance workflows. Reliability and observability mindset- experience providing QoS guarantees, implementing monitoring and alerting, and optimising observability in production. CI/CD and deployment expertise- hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments. Diagnostic and optimisation skills- proactive approach to diagnosing performance bottlenecks in data processing and storage systems. Communication and leadership- excellent communication skills to understand data needs from research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Incremental mindset- you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming- deep expertise in Python and mastery of high-performance compiled languages like Golang, C++, or Rust. Big data scale- experience designing and maintaining big data systems, with a track record of running complex analytics on massive datasets in production. Domain knowledge- understanding of 3D geometry processing (meshes, point clouds) and data structures used in physics-based simulations. Advanced testing- experience with fuzzing, deterministic simulation testing, or fault injection in production systems. Kubernetes expertise- ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, ArgoCD, Helm charts). Infrastructure flexibility- understanding of what it takes to build software that runs in cloud, on-premises, and air gapped environments. 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.

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."

Role Overview We are seeking a Senior Python Software Engineer/Quantitative Developer to take a leading role in the design, development, and evolution of the client's core analytics and trading platforms. The role is explicitly Python centric, with a strong focus on software architecture, code quality, and reliability across complex quantitative systems. You will work embedded within the analytics and trading function, partnering closely with quantitative analysts and data scientists to turn research models into robust, production grade Python systems. The role is intended to complement a mathematically strong team by bringing deeper software engineering rigour, helping scale both the codebase and the organisation as trading activity grows. Responsibilities Design, implement, and maintain production grade Python systems supporting: Power price forecasting pipelines Optimisation and dispatch of flexible assets (BESS, gas, hydro) Trading, simulation, and backtesting environments Establish and uphold strong Python engineering standards across the analytics codebase, including: Clear package and module structure Well defined interfaces between models, data, and execution layers Consistent error handling, logging, and observability Lead improvements in test coverage and reliability, spanning unit, integration, and regression testing for quantitative models Proactively identify, prioritise, and shape platform enhancements that most effectively support the trading roadmap, balancing urgency, technical debt, and cross team impact in close collaboration with analytics, trading, and product stakeholders Work closely with quants to refactor research driven Python code into maintainable, extensible components without compromising model fidelity Optimise performance critical Python code paths, including efficient use of vectorisation, parallelism, and memory management Collaborate with DevOps and Data Engineering on deployment, CI/CD, and runtime monitoring of Python services and batch workflows Provide technical leadership and mentorship on Python best practices, raising the overall engineering maturity of the analytics team Required Skills and Experience Strong professional experience as a Python software engineer, working on large or long lived codebases Deep understanding of Python for production use, including: Packaging, dependency management, and environment isolation Testing frameworks and test design for numerical code Profiling and performance optimisation in Python Solid grounding in software engineering fundamentals, including: System and API design Code readability, maintainability, and extensibility Version control and collaborative development workflows Experience working in quantitative, scientific, or data intensive domains Ability to operate comfortably at the interface between research, engineering, and commercial use cases Desirable Experience Experience in energy markets, commodity trading, or financial systems Familiarity with optimisation libraries, numerical methods, or simulation frameworks in Python Exposure to containerisation, cloud native Python deployments, or distributed compute patterns Prior experience modernising or hardening research oriented Python codebases Personal Attributes Strong engineering judgement with a pragmatic approach to complexity Comfortable taking ownership of critical systems used in live decision making Motivated by applying high quality software engineering to problems with tangible commercial and system wide impact Able to challenge constructively and influence technical direction without over engineering

About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.

Principal / Senior Principal Software Engineer page is loaded Principal / Senior Principal Software Engineerlocations: Welwyntime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 8, 2026 (27 days left to apply)job requisition id: 16At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The PositionA healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.Advances in AI, data and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing. Join our Data and Digital Catalyst team as a Software Engineer, where you will develop the modernized and interconnected computational and data ecosystems that are foundational to our research. You'll build robust and scalable systems that unlock the potential of our diverse scientific data, directly accelerating the discovery and development of life-changing treatments for patients. This is a unique opportunity to empower our scientists and advance data-driven science through innovative technology. The Opportunity Build and enhance a modern, scalable ecosystem of applications and tools to capture, move, and prepare scientific data for analysis. Design and deliver complex, user-friendly data applications and pipelines that integrate diverse data sets across key scientific domains. Leverage standard patterns like microservices and event-driven architecture to improve our data workflows and application ecosystem. Champion technical excellence by ensuring our solutions are innovative, best-in-class, and seamlessly integrated. Integrate diverse data sets to power Artificial Intelligence (AI), machine learning (ML), and Natural Language Search capabilities. Collaborate directly with computational and research scientists to understand their challenges and translate them into effective technology solutions. Provide technical leadership on ongoing initiatives and identify new opportunities to build common, reusable solutions. Mentor junior developers, fostering their professional growth and upholding high engineering standards. Who You Are We are looking for a passionate and collaborative software engineer with a talent for building scalable, reliable platforms. You thrive on engaging with scientific partners to solve complex challenges and are dedicated to engineering best practices.You bring the following qualifications: A Bachelor's or Master's degree in Computer Science or a similar technical field, or equivalent practical experience. Significant professional experience in full-stack software engineering, with strong skills in backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development. Deep experience with modern data engineering, including databases (SQL/NoSQL), data analytics (ETL/ELT), and APIs (REST, GraphQL). Proven experience developing and deploying applications on cloud-native architectures, preferably AWS. Outstanding communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences. Who we areA healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let's build a healthier future, together.The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

About us The Sainsbury Wellcome Centre (SWC) brings together world-leading scientists to investigate how brain circuits process information to generate perception, form memories and guide behaviour. Developed through the vision and partnership of the Gatsby Charitable Foundation and Wellcome, and with substantial investment from these partners, the mission of the SWC is to generate experimentally testable theories of brain function. The Centre comprises 13 highly interdisciplinary experimental research groups accommodated in a new, purpose-designed building, offering an outstanding and unparalleled research environment. SWC scientists use a broad spectrum of the latest advances in molecular and cellular biology, imaging, electrophysiology and behavioural techniques and enjoy state-of-the-art research laboratories, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories and custom in-house high-performance computing facilities. About the role We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Sonja Hofer and Tim Behrens in collaboration with theAdvanced Microscopy Facility. Our research seeks to understand how the frontal regions of the brain build circuits for cognition (e.g. planning, reasoning, abstraction). The challenge is to identify the precise neural microcircuits that underpin cognitive computations. To achieve this, we image the activity of neurons in a variety of task using benchtop and miniaturise two-photon microscopes, and then perform targeted holographic stimulation of identified neurons to probe their connectivity. This requires a complex pipeline of imaging, signal processing and alignment of multi-modal data sources. You will be responsible for developing and optimising efficient algorithms to process functional brain imaging data including motion correction, segmentation and multimodal registration. These algorithms will then be integrated within existing software packages for data acquisition, analysis and visualisation. This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. Informal enquiries regarding the role can be addressed to Adam Tyson (). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will have strong programming skills in Python along with extensive experience working with numerical data such as images and timeseries. The ideal candidate will have experience in either image registration or working with multiphoton calcium imaging. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software. What we offer The post is based in London, suitable for hybrid working with a minimum of 40% of time onsite. As well as the exciting opportunities this role presents SWC offers staff an award winning work environment with state of the art facilities an on site brassiere and access to pleasant outdoor spaces. SWC staff receive the full range of UCL benefits. Our commitment to Equality, Diversity and Inclusio As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here.

About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.

The Role We are currently seeking a talented and autonomous Forward Deployed AI Engineer to join our optimAI team, reporting to VP Innovation and AI Services. This is a crucial, high-impact role for a self-starter who will be responsible for bringing our most innovative AI concepts to life, from initial prototype to final deployment. The most important skill is a deep curiosity and a scientific mindset, alongside a desire to build incredible things. You will be a hands on generalist, bridging the gap between data science, software engineering, and generative AI. Your primary goal is to work to outcomes, not specific instructions, with a focus on delivering tangible value that delights the customer. The role may require time spent on site with customers to deliver solutions. We love to work with people who have a deeply curious mindset and the ability to work in an agile, fast paced environment. You will monitor technology trends, build solutions, and have the opportunity to experiment and define the future. You must be able to articulate the "why" behind your work in terms of clear customer value, and we want you to develop your opinions and deep insights for the projects you work on. Successful candidates must be eligible for, and able to obtain and maintain, Security Check (SC) level security clearance. Key Responsibilities End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems. AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use cases, explore and deploy the latest AI data architectures. Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use. Full-Stack Development with AI integration: Create front end prototypes and back end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual and AI-generated code. Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models. Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap. Collaboration: Work closely with cross functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions. Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self starter who can work to outcomes rather than just following instructions. Travel and On Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions. Skills, Knowledge, and Expertise Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus. AI/ML Expertise: Hands on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models), RAG (Retrieval Augmented Generation), and deploying AI solutions. Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous years of experience; we're looking for skills as opposed to time served. Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language. Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward. Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes. Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate. Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally. Job Benefits We make Hadean an awesome place to work with competitive benefits The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!) Flexible working Private Health Insurance Enhanced pension scheme Enhanced parental leave 3 extra days off at Christmas (on top of our standard 25) L&D budget Regularly scheduled socials Share options A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients. If you need reasonable adjustments at any point in the application or interview process, please speak with the People team who will be happy to support you. If you have a preferred pronoun, please feel free to highlight this during the process (e.g. she/her, he/him, they/them, etc.).

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better