Senior Software Engineer at Anaplan | London

Join Hudson River Trading (HRT), a leading global algorithmic trading firm, where innovation meets high-performance computing. Our research cluster is the cornerstone of our trading success, providing the robust environment where cutting-edge trading strategies are conceived and executed. At HRT, we leverage a state-of-the-art research ecosystem featuring advanced CPU and GPU computing, expansive storage solutions, and high-speed networking technologies. Our engineering team meticulously handles the software stack, optimizing everything from user-level APIs to low-level caching mechanisms. We tackle a diverse range of challenges—from theoretical resource scheduling to the practical optimization of trading program runtime performance. As a Distributed Compute Engineer, you will play a vital role in shaping the user experience for our research environment, developing and refining technical solutions that enhance research efficiency and accessibility. Collaborating daily with our talented quantitative traders and software engineers, you'll contribute to a dynamic environment that fosters innovation and excellence.

At Fastly, we are dedicated to enhancing connectivity to the digital experiences that matter most to our users. Our cutting-edge edge cloud platform empowers our clients to rapidly and securely deliver exceptional digital solutions by processing, serving, and securing applications close to their end-users — right at the edge of the Internet. Built to leverage the modern internet, our platform is highly programmable and supports agile software development, serving a roster of prestigious clients such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: 24 March, 2026Anticipated Posting Close Date*: 20 April, 2026*Job posting may close early due to the volume of applicants.Staff Software Engineer, Compute PlatformOur team is responsible for developing the Compute platform at Fastly — an advanced serverless solution built on open standards operating on our extensive global edge network. This platform meets the demands of modern application development, enabling customers to execute code in a secure environment with microsecond cold start times, at scale, right on the edge.We are seeking a talented Staff Software Engineer to join our dynamic team and help enhance our hosting infrastructure. This role will encompass essential networking and systems-level tasks, as well as cross-team collaboration and the design of high-quality APIs for our customers to leverage services developed by other teams. You will also have the opportunity to contribute to influential open-source projects (such as Wasmtime) that play a pivotal role in our Compute vision.What You'll Do:Facilitate seamless communication and coordination among team members and across various technical and product teams.Engage in code reviews to enhance the codebase and improve team processes.Lead projects from a technical standpoint, driving progress and keeping stakeholders informed on project status.Develop platform-level code in Rust that addresses host concerns such as back pressure, resource limits, and service interactions.Investigate and resolve performance and stability challenges to meet stringent scalability requirements.Take ownership of a large-scale production system characterized by exceptional performance and availability needs.

Join Isomorphic Labs, where we are harnessing cutting-edge AI to drive revolutionary scientific discoveries, accelerate breakthroughs, and develop transformative medicines, with the ultimate goal of tackling all diseases.We envision a future powered by the remarkable capabilities of machine learning—one where drug discovery is not only improved but revolutionized.Be a vital part of our dynamic interdisciplinary team, dedicated to pioneering innovations and playing a significant role in our ambitious mission, all while thriving within a culture that inspires collaboration and creativity.The future we aspire to is being shaped today, starting with our company culture and each one of us.About Isomorphic LabsFounded in 2021, Isomorphic Labs is committed to enhancing human health through advanced AI technologies, building on the Nobel-winning AlphaFold system. Our diverse team of drug discovery professionals and machine learning experts has developed powerful predictive and generative AI models that expedite scientific discovery at an unprecedented pace.Our name embodies our belief in the intrinsic symmetry between biology and information science. By leveraging AI’s robust capabilities, we model intricate biological phenomena to design innovative molecules, predict drug performance, and create groundbreaking treatments for some of the world’s most pressing health challenges.We have established a leading drug design engine featuring AI models adept at working across various therapeutic areas and drug modalities. Our commitment to continuous innovation in model architecture and the development of advanced capabilities propels the future of rational drug design.With each breakthrough, we are inching closer to the realization of digital biology and our ambitious mission to ultimately conquer all diseases with the power of AI.

Join our dynamic team at AECOM as an Engineer or Senior Electrical Engineer specializing in Distribution. We are looking for innovative professionals who are passionate about delivering high-quality engineering solutions. In this role, you will be responsible for the design, analysis, and implementation of electrical distribution systems, ensuring they meet industry standards and client specifications.Your expertise will be critical in managing projects from conception through completion, collaborating with multidisciplinary teams to deliver sustainable and efficient electrical solutions.

Role overview Faculty seeks a Lead Computer Vision Engineer to join its London office. This position leads a group of engineers and partners closely with data scientists to deliver advanced computer vision systems. The team supports a range of projects across different industries, with a focus on practical uses of artificial intelligence in real-world settings. What you will do Guide the design and implementation of algorithms for image and video processing tasks Direct and mentor engineers tackling computer vision problems Work with data scientists to develop solutions that address industry needs Location This position is based in London.

Your Impact The Principal Software Engineer plays a pivotal role in shaping and advancing our architectural framework by employing Distributed Domain Driven Design methodologies. This position is crucial for ensuring the resilience and scalability of our systems. You will influence architectural strategies and provide embedded consultation within projects, guiding teams to adopt best practices and effective design patterns. What You'll Do ● Architecture Leadership: Spearhead the definition and evolution of our architecture through Distributed Domain Driven Design principles. Serve as the strategic leader for core Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Security) to guide architectural evaluations. Provide project-specific architectural consultation to advocate best practices, design patterns, and informed buy vs. build decisions.● Platform Capability Enhancement: Aid in prioritizing improvements across feature and data platforms. Enhance the documentation and communication of architectural descriptions through automation and innovative tools. Oversee platform-wide strategies, including naming conventions, protocol standards, and design patterns to ensure continuous value creation.● Effective Communication: Clearly articulate complex technical concepts in both written and verbal formats, tailored to both technical and non-technical stakeholders. Collaborate with various stakeholders to foster consensus when needed, ensuring alignment on architectural choices.

Vivacity Labs develops technology to help authorities worldwide monitor and manage real-time traffic, aiming to make transport systems safer and more sustainable. The team’s work supports cities and organizations seeking better traffic insights and control. Role overview The Computer Vision Engineer will contribute to the core computer vision stack, focusing on real-time traffic analytics built with NVIDIA Edge AI. The role involves developing, maintaining, and deploying AI-powered traffic sensor systems, with particular attention to performance, accuracy, and efficiency. These efforts support Vivacity’s GStreamer and DeepStream-based pipelines. Collaboration is a key part of this position. The engineer will work closely with researchers and hardware engineers to ensure that deployed models run reliably in production. There is also the opportunity to take ownership of significant components within the vision stack and influence the direction of Vivacity’s edge AI systems. Key responsibilities Advance DeepStream and GStreamer pipelines, add new features, and deploy advanced deep learning models (approximately 75% of the role) Debug and support production systems as needed (about 15%) Collaborate with teams such as cloud engineers and data specialists on projects like self-learning algorithms and dashboards for new datasets (about 10%) Location and working arrangements This position is based at the London office near Old Street. Flexible and hybrid working options are available. Wednesdays in-office are required, and two days per week in-person are recommended. Reporting line This role reports to Adam Fry, Engineering Manager, Sensor Hardware & Electronics. Compensation Salary: £55,000–£70,000 Vivacity Labs is open to applicants outside this salary range and will discuss the compensation package based on experience and expertise.

We are seeking a skilled and dynamic Lead Protection and Control Engineer to join our Transmission & Distribution team in London. In this pivotal role, you will lead projects focused on protection and control systems, ensuring the highest standards of safety, reliability, and performance. You will collaborate with cross-functional teams to deliver innovative solutions that meet our clients' needs.

Position Overview:We are in search of a skilled and enthusiastic Software Developer to become an integral part of our expanding team. In this pivotal role, you will be instrumental in the design, development, and maintenance of Squarepoint's internal frameworks, services, and platforms that drive our business operations. This is a fantastic opportunity to work with advanced technologies, directly influencing the efficiency and productivity of both our investment and technology teams at Squarepoint.Design, develop, and maintain high-quality, scalable, and high-performance software solutions.Contribute to the creation of company-wide productivity tools, frameworks, and platforms that enhance operations across the organization.Collaborate with fellow developers and stakeholders to collect requirements, design solutions, and implement features.Write clean, well-documented, and testable Python code.Engage in code reviews and help elevate code quality and development practices.Diagnose and resolve technical issues promptly and effectively.Stay informed about the latest advancements in Python technologies and industry best practices.

About the TeamAt OpenAI, our Platform Systems team is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We create the engineering and research infrastructure essential for training OpenAI’s premier models on some of the world's most powerful, custom-designed supercomputers.Our dedicated team develops critical model training software, delving deep into the technical stack to enhance collective communication, optimize compute efficiency, refine parallelism strategies, and improve fault tolerance, failure detection, and observability. The systems we engineer are pivotal to accelerating OpenAI’s research, ensuring reliable and efficient training at the cutting edge of technology.We foster close collaboration with researchers throughout the organization, consistently integrating insights from across OpenAI to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training workloads, ensuring their reliable operation at scale.Your responsibilities will include engineering failure detection, tracing, and observability systems to identify suboptimal or malfunctioning nodes, revealing performance bottlenecks, and enabling engineers to optimize extensive distributed training jobs. This infrastructure is vital for the functionality of OpenAI’s training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.In This Role, You WillDesign and implement distributed systems for failure detection, tracing, and profiling large-scale AI training tasks.Create tools to detect slow, faulty, or erratic nodes, providing actionable insights into system performance.Enhance observability, reliability, and performance across OpenAI’s training framework.Diagnose and resolve challenges in complex, high-throughput distributed environments.Collaborate with systems, infrastructure, and research teams to elevate platform capabilities.Adapt and extend failure detection and tracing systems in support of new training methodologies and workloads.You Might Thrive in This Role If YouPossess a strong passion for performance, stability, and observability in distributed systems.Have experience with large-scale systems and are excited to tackle complex challenges in AI infrastructure.

Join AECOM, a global leader in engineering and construction, and explore exciting career opportunities in Transmission and Distribution. We are seeking passionate individuals to contribute to innovative projects that shape the future of energy infrastructure. This role offers the chance to work with cutting-edge technology and collaborate with industry experts.

About H:At H, we are at the forefront of revolutionizing superintelligence through agentic AI. Our mission is to automate intricate, multi-step tasks that are traditionally handled by humans, thereby unlocking the full potential of human capability.We are actively recruiting top-tier AI professionals who are equally committed to advancing innovative agentic technologies as they are to ensuring safety and responsibility in their application. Our culture fosters openness, continuous learning, and collaboration, where every voice is valued.About the Team: Our Product Engineering team plays a pivotal role in developing H's Enterprise Platform, delivering essential tools and services that empower our customers to address critical operational challenges. This platform encompasses vital services such as executing computer-use agents at scale, orchestrating complex workflows, and providing a comprehensive suite for observability, troubleshooting, and evaluations. Our team serves as the bridge between cutting-edge AI research and practical, real-world applications, working in close partnership with every sector of our organization.Key Responsibilities:Architect, design, and steer the long-term engineering roadmap and technical blueprint.Create and sustain robust, high-performance, and scalable systems.Mentor and inspire engineers across diverse teams, promoting a culture of technical excellence.Perform comprehensive code and design reviews to uphold quality and security standards.Collaborate with Research, Product, and various stakeholders to deliver impactful and innovative solutions.Enhance system reliability, scalability, and observability continuously.Establish and implement engineering standards, tools, and processes for optimal efficiency.Promote technical innovation while proactively addressing any technical debt.Requirements:Technical Skills:Prior experience in a Senior Software Engineer role with a proven record of responsibilities and accomplishments.Over 5 years of strong experience in backend development (Python and Golang preferred).Extensive experience with distributed systems or cloud computing, ideally in AWS.Proficient in building and deploying end-to-end solutions.

About ClickHouseFeatured on the prestigious 2025 Forbes Cloud 100 list, ClickHouse stands as a pioneering and rapidly expanding private cloud enterprise. With an impressive client base exceeding 3,000 and an annual recurring revenue (ARR) that has surged over 250% year-on-year, ClickHouse is at the forefront of real-time analytics, data warehousing, observability, and AI workloads.Our remarkable growth trajectory was recently underscored by a substantial $400 million Series D funding round. In the last quarter alone, notable clients like Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted or enhanced their use of our platform. They join a diverse roster of innovators in AI and global brands such as Meta, Cursor, Sony, and Tesla.Join us on our mission to revolutionize data utilization for businesses. Be a part of our exciting journey!About the TeamThe Cloud Infrastructure Engineering team is dedicated to constructing and maintaining the essential components of ClickHouse Cloud's data plane. This encompasses computing, networking, security, and a multi-cloud, multi-region architecture designed to deliver a reliable and scalable managed ClickHouse experience for our customers. We are in search of highly skilled and experienced cloud infrastructure software engineers to join our team, responsible for the design, deployment, and maintenance of our infrastructure.

Internship Overview Wexler is seeking a Software Engineering Intern to join its London team. This is a hands-on role where interns work closely with experienced Software and Machine Learning Engineers, contributing directly to the company’s agent infrastructure and product innovation. The work impacts legal professionals who depend on Wexler’s technology every day. This internship is designed for students set to graduate in 2026 or strong second-year students from top UK universities, ideally studying Computer Science or a related field. A genuine interest in building, learning, and applied AI is important. About Wexler Wexler specializes in Legal AI, focusing on solutions tailored to the specific workflows of legal professionals. The company addresses the slow adoption of AI in the legal sector by offering targeted, precise tools rather than general-purpose platforms. Wexler’s approach has earned positive feedback for its attention to detail and commitment to supporting the needs of legal practitioners. What You Will Do Develop and improve Wexler’s agentic infrastructure. Work with the technical team on new projects that extend product capabilities. Help build user interfaces that make complex legal workflows accessible. Collaborate with AI engineers to bring LLM features into production systems. Participate in architecture discussions and learn best practices from experienced engineers. Tackle challenges such as delivering smooth user experiences, scaling performance, and upholding enterprise security standards. Technical Skills Back-end: Solid experience with Node.js, TypeScript, or Python (preferably both). Ability to write clean, testable server-side code. Databases: Familiarity with relational databases, especially PostgreSQL. Understanding of schema design and querying.

Join our innovative team at Meticulous, where we are revolutionizing the software development landscape. Our mission is to significantly accelerate software development processes through our unique technology.At Meticulous, we are experiencing rapid growth, with leading companies like Dropbox, Wiz, and Notion embracing our tool at an unprecedented rate. Our compact team is composed of some of the most talented engineers globally, allowing us to create advanced technology that autonomously and thoroughly tests frontend codebases.This capability is groundbreaking; it is underpinned by innovative technologies and research that set us apart from competitors. Our product's demand is soaring, and many customers are willing to invest more in Meticulous than any other software solution, often recommending us spontaneously to their networks.We believe that autonomous, exhaustive testing is essential to unlocking the full potential of code generation and automating a significant portion of the software development lifecycle.Based in London, our team of ten is dedicated to building a small, highly skilled workforce. We are currently hiring for this position in London and are also considering launching Forward Deployed Engineering roles in San Francisco soon. If you are interested in either opportunity, we encourage you to apply.Key Responsibilities:Design and develop a distributed system capable of simultaneously replaying thousands of sessions, delivering results to developers in mere seconds.Integrate Meticulous into the core of autonomous code generation, creating a coding agent that surpasses current capabilities by establishing a feedback loop to assess the exhaustive impact of every modification.Innovate algorithms to identify sessions that explore diverse code paths and edge cases, while filtering out overly similar sessions.Collaborate directly with engineering leaders from top tech companies to facilitate the deployment of Meticulous across their platforms.

Join our dynamic team at Ramboll Group as a Lead Substations Plant Engineer specializing in Transmission & Distribution. In this pivotal role, you will lead innovative projects and collaborate with a diverse group of professionals to enhance our infrastructure solutions. Your expertise will drive the development and implementation of cutting-edge technologies, ensuring reliability and efficiency in our substations.

The Trade Desk is a leading global technology firm dedicated to establishing a more accessible and transparent internet through principled and intelligent advertising solutions. Our platform processes over 1 trillion queries daily, operating at an unparalleled scale. We pride ourselves on nurturing an award-winning culture rooted in trust, ownership, empathy, and collaboration. We celebrate the distinctive experiences and viewpoints that every individual contributes to The Trade Desk, and we are devoted to cultivating inclusive environments where everyone can express their authentic selves daily. Are you passionate about tackling complex challenges on a grand scale? Do you long to be part of a vibrant, globally-connected team where your efforts will significantly impact the creation of a better media ecosystem? Discover why Fortune magazine regularly recognizes The Trade Desk as one of the best small to medium-sized workplaces worldwide. About the Role: We are on the lookout for a Lead Systems Reliability Engineer to enhance our engineering team, focusing on the development and upkeep of our data-driven platform. Utilizing cutting-edge technologies such as Aerospike, MongoDB, and Kafka, we execute numerous real-time activities, achieving a remarkable p99 latency of under 1 millisecond on the backend! If you thrive on tuning, performance testing, troubleshooting, automation, and operating at scale, and if you find excitement in testing next-gen hardware, evaluating data access patterns, and architecting automation for distributed systems, we want to hear from you!

Join our team as a Design Manager specializing in Transmission & Distribution projects. In this pivotal role, you will lead a dynamic team of engineers and designers, ensuring the successful delivery of innovative solutions that meet industry standards and client expectations. Your expertise will drive the development of cutting-edge designs that enhance infrastructure capabilities.Responsibilities include overseeing project timelines, managing resources, and collaborating with cross-functional teams to achieve project goals. You will also be responsible for maintaining quality assurance and compliance with regulatory requirements.

Faculty partners with organizations around the world to deliver practical, responsible AI solutions. Since 2014, the company has worked on more than 350 client projects across sectors including government, finance, retail, energy, life sciences, and defense. Faculty focuses on human-centric AI and measurable outcomes. More information about Faculty’s work is available here. Defence Team The Defence team develops AI systems that support national security and global stability. Projects emphasize ethical, reliable AI for high-stakes environments. Team members collaborate closely with clients, often working on-site to make sure solutions address real-world needs. This role requires eligibility for UK Security Clearance (SC). Expect to work on client sites in the UK two to four days per week, with travel as needed. When not on-site, work can be done from the London office or remotely within the UK. Role overview The Computer Vision Engineer leads AI projects for defence clients, shaping technical direction and connecting advanced research to practical deployment. As the main technical authority, this person will design and implement computer vision systems that address critical client challenges. This position offers the chance to influence technical strategy, introduce new capabilities, and build a reputation as a thought leader within the team. It suits engineers who value autonomy and want to advance the state of the art in computer vision.