Victrays

Overview 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 Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. What we're looking for Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Work with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customers. 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 believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.

A tech innovation company in Greater London seeks a Software Engineer to develop and deploy applications that leverage physics AI models. The role involves collaborating with cross-functional teams to create tools that address complex engineering challenges. Candidates should have a strong background in software engineering, API design, and a proactive approach to problem-solving. The company offers equity options, a generous pension contribution, flexible working conditions, and a commitment to diversity.

A leading streaming platform is looking for a Senior Software Engineer (Backend) in Manchester. The role involves designing scalable backend services, maintaining robust APIs, and working collaboratively across teams. Ideal candidates will have experience with Java, Python, Docker, Kubernetes, and a degree in computer science or a related field. This position offers comprehensive benefits that support employee well-being and a dynamic work culture focused on innovation and collaboration.

Senior Software Engineer, Mobile Cloud - Manchester, United Kingdom Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Role Millions of people around the globe rely on our products every day because they "just work," seamlessly integrating into users' lives. Achieving that intuitive user experience isn't accidental-it's crafted by dedicated teams committed to simplicity and clarity. We're seeking a Senior Software Engineer (Backend) who excels at building scalable, reliable services. Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you're passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we'd love for you to join us. We collaborate closely with client-side engineers, other backend teams, and product management, iterating rapidly-from prototypes and A/B tests through to global releases. About The Team You will be joining a talented, high-performant backend team with a history of delivering quality products. We are looking for someone who can help us keep up this pace and continue delivering high-quality services as we grow. What You'll Do Design and develop scalable, high-performance backend services powering Roku mobile apps. Build and maintain robust APIs and microservices integrating seamlessly with mobile clients and cloud infrastructure. Develop and optimize a highly efficient auto-scaling platform utilizing Docker containers and Kubernetes orchestration. Ensure reliability and uptime of backend systems through comprehensive monitoring, testing, and automation. Troubleshoot and resolve complex technical challenges within production environments swiftly and effectively. Continuously assess and implement emerging technologies to boost system performance and developer productivity. Collaborate cross-functionally with product, design, frontend, and other backend teams, driving seamless integration, consistency, and exceptional user experiences. Expertise of backend software engineering Bachelor's or master's degree in computer science, engineering, or related field (or equivalent experience). Strong proficiency in backend languages like Java or Python. Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Demonstrable experience designing, building, and maintaining RESTful APIs, utilizing HTTPS, JSON, and WebSocket. Hands-on expertise developing and operating large-scale cloud services using Docker and Kubernetes. Proven capability in writing and maintaining comprehensive automated unit and integration tests. Deep understanding of distributed systems, microservices architecture, and database technologies. Familiarity with CI/CD pipelines, Test-Driven Development (TDD), and automation frameworks. Skilled in production system monitoring, troubleshooting, and issue resolution. Exceptional problem-solving skills focused on delivering efficient, practical solutions. Strong communication abilities, adept at working effectively with both technical and non-technical stakeholders. A proactive and driven mindset, capable of independently managing tasks from inception to completion. Ability to thrive in a dynamic, fast-paced environment, adeptly managing shifting priorities. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Overview As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 30% of the time Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks onTwitter ,LinkedIn andFacebook . At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Integrations Project Manager at Constructor - London, England, United Kingdom - Remote Integrations Project Manager at Constructor - London, England, United Kingdom - Remote About Us Constructor is the next-generation platform for search and discovery in ecommerce, built on a unique GPT-based architecture made specifically for commerce. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences, from search, to recommendations, to AI Shopping Agents and everything in between. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, Under Armour, home24, Birkenstock and The Very Group. Constructor is a U.S. based company that has been in market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position The Project Manager, Customer Integrations will be responsible for orchestrating all aspects of our customer integration process improvement initiatives. This includes: Process Analysis & Optimization: Thoroughly understand, map, and analyze existing customer integration processes from end-to-end. Identify critical gaps, bottlenecks, redundancies, and areas of waste within current integration workflows. Develop and implement strategies to improve process efficiency, reduce manual effort, and minimize integration timelines. Lead the initiative to standardize customer integration pathways, creating clear, repeatable, and scalable processes. Develop and maintain a comprehensive customer integration playbook, including process flows, best practices, common integration patterns, and recommended solutions. Identify and document common ways of integration, enabling the team to provide proactive and efficient recommendations to customers. Cross-Functional Alignment & Collaboration: Act as the central point of contact for all customer integration-related projects and process improvements. Foster strong alignment and build collaborative relationships with various internal teams, including Sales, Engineering, Product Management, Technical Support, and Customer Success. Clearly define roles, responsibilities, and handoffs to ensure smooth execution and reduce duplicated work or team dependencies. Facilitate regular meetings and communication channels to ensure all stakeholders are informed and aligned. Proactively identify patterns, trends, and common challenges in customer integrations to inform process improvements and potential product enhancements. Establish metrics and reporting to track the effectiveness of integration processes and identify further opportunities for optimization. Champion a culture of continuous improvement within the integration ecosystem. Project Management: Lead Customer Integration teams' meetings (e.g., stanups) to ensure continuous collaboration. Manage all phases of integration improvement projects, including planning, execution, monitoring, and reporting. Develop project plans, define scope, set timelines, and manage resources effectively. Track project progress and provide regular updates to stakeholders. Requirements Demonstrated experience in project management, particularly with data integration and technical solutions (3+ years preferred). Demonstrated ability to lead cross-functional teams and influence stakeholders without direct authority. Strong technical acumen, with the ability to communicate effectively with engineers and non-technical stakeholders. Proven experience in mapping complex processes, identifying inefficiencies, and implementing successful process optimization initiatives. Proven success in managing complex data integration projects, ideally in eCommerce, SaaS, or System Integration environments. Experience in cross-functional leadership, aligning teams with varying priorities and technical expertise. Experience with data tracking, catalog management, and API integrations is a plus. Familiarity with data ingestion, health monitoring, and alerting tools is a plus. Strong problem-solving skills and the ability to lead technical initiatives from concept to implementation. Excellent communication and stakeholder management abilities. Ability to thrive in a fast-paced environment and adapt to changing project needs. Familiarity with project management tools and agile methodologies. Commitment to continuous learning and process improvement. ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Work with smart people who will help you grow and make a meaningful impact This position is fully remote - Constructor.io is a remote-first company. Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.

A leading data solutions company is seeking a Big Data Solutions Architect to work with clients on impactful projects using the Databricks platform. This role requires expertise in data engineering, cloud ecosystems, and distributed computing, with a focus on delivering exceptional customer service. The ideal candidate will engage with strategic clients, guide them in big data transformations, and contribute to project success through collaboration and technical support.

Data Scientist at Haleon - London Bankside, United Kingdom About the role This is an exciting opportunity to join our Global AI & Data Science team. AI, Data Science and Machine learning is a critical part of our strategy as, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements. Key Responsibilities Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation. Coordinate and manage competing priorities across Haleon's portfolio of Commercial AI projects with focus on Net Revenue Management. Work with Senior Data Scientists and product teams on the development of data science products to solve business problems. Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon's Responsible AI policy and standards. Research cutting-edge techniques and tools to ensure Haleon's data science solutions are competitive. Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence. Qualifications and Skills 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. Can coordinate and manage competing priorities across a portfolio of projects. Compile, integrate, and analyse data from multiple sources to answer business questions. Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms. Proficient in Python. Deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.). Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with. Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.). Experience with Git, Databricks and Microsoft Azure technical stack. Prior exposure to Agile methodologies. Experience building large scale machine learning systems. Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent. Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

A prominent healthcare company is seeking a Data Scientist to join their Global AI & Data Science team in London. The role involves contributing to the entire Data Science Project Lifecycle, managing competing priorities, and developing AI solutions. Applicants should have 4-5 years of experience in data science, proficiency in Python, and a Master's degree in a relevant field. This position offers opportunities for coaching younger talents and working on state-of-the-art data science projects.

Overview Data Scientist (Claims) at marshmallow - London About Marshmallow We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance - insuring over a million drivers - and we're scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives. How we work We're really proud of the culture we've created. We push for progress every day, because we know that we'll only hit big milestones by taking lots of smaller steps. We're always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer's needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact. Autonomy and ownership are supported with clear direction, in-depth planning twice a year, and clear goals that flow from top to bottom. Most work rolls up into three tribes: Acquisition, Retention & Claims. Each tribe has multiple teams embedded in it, working cross-functionally to do great work. We're excited for the challenges ahead and welcome you to explore our Culture Handbook to learn more. Marshmallow aims to make insurance more accessible and affordable for as many people as possible. That means harnessing technology, automation and intelligent decision making to serve customers better and cheaper than traditional insurers. Data, analytics and the Claims Tribe We're here to generate insights and actions from all the data we can get our hands on. This includes analytics, predictive modelling, and prescriptive recommendations. We deliver high impact work to the business, focusing on high risk, high reward projects, and ensuring all decisions are data driven. We're now looking for a Data Scientist to join our Claims Tribe , where we are on a mission to transform how we handle claims by using data and AI to make faster and smarter decisions that improve outcomes and reduce costs. This is a critical area of the business that directly affects our loss ratio, operational efficiency and customer satisfaction. You will build intelligent systems that help us solve the right claims at the right time for the right cost by combining predictive models, agentic AI workflows and automation to guide and accelerate decisions across the claim lifecycle, including decisioning models, fraud detection, prioritisation and workflow logic. There are high impact problems to solve, and you will be part of a team that is actively redefining what great looks like in claims handling through the use of frontier AI tools and human in the loop systems. What you'll be doing Owning and delivering data science solutions that improve how we triage, prioritise and resolve claims with measurable impact on cost, speed and customer experience. Building and deploying predictive models that support automated decisions or enable better human ones (e.g. risk triage, fraud signals, case prioritisation, exception handling). Collaborating with engineers, product managers and claims experts to embed your models into our internal systems and tools. Supporting an experimentation-first mindset with A/B tests and analytics to prove business value. Contributing to the definition of KPIs and analytical processes that help us evaluate and continuously improve claims performance. Exploring opportunities to apply emerging AI technologies such as agentic systems and large language models to streamline workflows and assist decision makers in real time. Who you are You are naturally curious and hands-on, all things data and ML related. You have a commercial mindset and focus on driving meaningful business impact. You communicate clearly across both technical and non-technical teams. You care about the customer journey and want to make hard moments easier. You're pragmatic and outcome-oriented, not wedded to complexity for its own sake. You enjoy solving real operational problems with cutting edge tools, especially where human judgment and automation intersect. You value simplicity, clarity, and strong data foundations. What we're looking for from you Experiences that are essential Experience building and deploying ML models that deliver measurable business results. Understanding of how to evaluate performance within risk decisioning, including performance trade-offs and operational considerations. Familiarity with A/B testing and measuring model impact. Proficiency in Python and SQL. At least 2+ years of professional experience in data science or similar roles. Experiences that will help you Experience in insurance, operations, or other complex service environments. Experience working with unstructured data (e.g. documents, free text, images). Knowledge of MLOps best practices and model monitoring. Experience with experimentation frameworks and KPI tracking. PhD or masters degree from a top institution. Experience designing, building and deploying Generative AI applications or Retrieval-Augmented Generation (RAG) systems in operational or customer facing environments. Perks of the job Flexi-office working - Spend 2-3 days a week with your team in our new collaborative London office. The rest is up to you! Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard, for subscriptions, classes, or other needs Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office Mental wellbeing support - Access therapy and mental health sessions Learning and development - Personal budgets for books and training courses, plus 2 days a year to further your skillset Private health care - Vitality benefits Medical cash plan - Support for dental, optical and physio costs Tech scheme - Get the latest tech for less Plus all the rest: 33 days holiday, pension, cycle to work, team socials Our process We break it up into a few stages: Initial call with our Talent Acquisition Partner - 30 mins; a past experience interview with the hiring manager - 60 mins; a technical interview - 90 mins; a culture interview - 60 mins. Everyone belongs at Marshmallow We are committed to hiring without judgement, prejudice or bias and encourage everyone to apply. Diversity in identity, race, ethnicity, sexual orientation, age or background does not affect how we process applications. We're building an inclusive culture that empowers our people to do their best work and feel they belong. Recruitment privacy policy We take privacy seriously. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.

A leading insurance technology company is looking for a Data Scientist to join their Claims Tribe in London. The successful candidate will be responsible for improving claims management through data science solutions, predictive models, and collaboration with cross-functional teams to enhance operational efficiency. Applicants should have strong skills in Python, SQL, and relevant experience in data science. This role offers flexible working arrangements, a competitive bonus scheme, and comprehensive mental wellbeing support.