8269 jobs found

Overview London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex's business divisions and works with a corresponding Business Technology and Application Support team. Role Summary As a valued member of the Technology department, the Software Developer will be working daily within the Risk stream. There is an opportunity to learn the various areas of Risk & Compliance through development and collaboration and by improving business processes. The Developer will be joining a dynamic team that are building a strategic system-scape. There will be the capability to help shape Technology growth and add significant value to the Risk department. The Developer will, via technology, help to enable growth whilst automating and improving reporting & complex calculations across areas including Market Risk, Clearing Risk, Counterparty Risk and Operational Risk. The Developer will operate within the Risk Engines team, who focus primarily on the implantation and integration of new and existing Risk Methodologies as per the requirements of our key stakeholders. Key relationships need to be maintained both within the Risk Engines team and the wider Development community within Marex. The Developer will work closely with Risk Application Support and other key functions such as Platform Engineering and IT Security. The operational challenges to be addressed include delivering high-quality solutions to meet the demands of a fast-growing, data-intensive department. Responsibilities Role specific: Assist in the creation and enhancement of Marex's key Risk Engines, such as PFE Engine and CVaR (Client Value at Risk). Assist with integrating key applications, processes and data inherited by Marex through acquisitions. Be comfortable with using Agentic AI to assist in code generation, understand its outputs, and be able to challenge and defend generated code. Integrate and standardise input and output data through Marex's key Risk vendor platforms. Develop and maintain procedures, workflows and other documentation relating to our Risk Engines. Keep up to date with key industry and technology developments as they relate to best practices in the financial services industry, including Agentic AI practices. Identify and define new process improvement opportunities. Work with stakeholders to maintain effective backlog management. Liaise with QA team to establish and maintain a suitable testing strategy. Apply strong domain knowledge to translate business needs into high quality outputs. Competencies, Skills, Experience & Qualifications A collaborative team player, approachable, self-efficient and able to influence a positive work environment. Resilient in a challenging, fast-paced environment. Strategic collaborator with insight and agility, able to anticipate and communicate future challenges, ensuring operational effectiveness. Skills and Experience Essential: Full-stack Python software development skills, specialising in numerical processing using Pandas, Numpy, Polars, PySpark, Coroutines, async tasks and Unix. Building scalable applications with intensive risk-based processing. Packaging software for distribution (e.g., Docker, Poetry, python-wheels, PyInstaller, Databricks bundles). Databricks, data persistence with relational or non-relational databases. Familiarity with Cloud Data Technologies, especially AWS (ECS, Lambda, S3, EventBridge). Logging patterns, especially Splunk. Experience using TDD and/or automation testing (BD D frameworks a bonus). Software development methodologies (Sprints/Agile) and project management software (Jira Software). C#, Typescript, React. Experience working in a regulated environment and knowledge of risk and compliance requirements. Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non-bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking an experienced Engineering Manager to join our growing Developer Experience organization. In this role, you will lead the Operational Excellence and Release Management teams, responsible for building and scaling the core tooling that powers Samsara's Connected Operations Cloud. This work sits on the critical path of both product velocity and customer experience. Every Samsara customer depends on the reliability, performance, and safety of our platform, and every engineer and product manager relies on your teams' systems to build, deploy, and operate services with confidence. Your team will define and deliver the visibility, metrics, and control planes that enable engineering teams to understand service health, detect issues early, and continuously improve reliability. You will also own the release infrastructure and workflows that ensure features are shipped safely, predictably, and at scale. We lean heavily into automation and actively champion AI-native development. You will drive the adoption of intelligent tooling and autonomous workflows that reduce manual effort, accelerate iteration, and improve system resilience-embedding AI into how engineers build, test, release, and operate software across the company. As Samsara's infrastructure and product surface area continue to grow, you will drive the standardization of tools, frameworks, and best practices across the company-raising the bar for operational excellence and ensuring a consistent, high-quality experience for both our customers and internal builders. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. Click here to learn about what we value at Samsara. In this role, you will: Leading the engineering team, shaping engineering culture, and providing technical guidance Building infrastructure to ensure reliability of Samsara's connected operations cloud under high loads Developing tooling for product teams to self service and own operation of their services and storage in responsive and cost effective ways Creating abstractions for developers to understand their services health and adopt best practices to deliver the best customer experience in the industry Actively contributing to building the roadmap for infrastructure at Samsara Championing, role modeling, and embedding Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Hiring, developing, and leading an inclusive, engaged, and high performing team Our backend is written in Golang, runs on AWS, and is deployed using Terraform, though direct experience with these technologies is not required. An ideal candidate has: Built or worked on critical production systems using AWS (preferred) or Azure/GCP Experience working with geo distributed teams Deep knowledge of operating distributed systems at large scale and implementation best practices 8+ years of relevant software engineering work experience 2+ years of hands on technical management experience 2+ years experience building platforms and managing multiple stakeholders Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high impact builders. Our compensation program delivers above market total compensation through a combination of base salary, performance based bonus/variable pay, and equity (for eligible roles) in a high growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long term success: a flexible, employee led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds we're looking for reliability-minded software engineers and SREs. Are curious and brave comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills you'll be partnering across the entire company. Bring diverse experience the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £325,000-£390,000 GBP Logistics Education requirements We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage Learn about our policy for using AI in our application process

Full Stack Engineer page is loaded Full Stack Engineerlocations: Kings Cross, Londontime type: Full timeposted on: Posted Todayjob requisition id: UMG-24978Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . Key Responsibilities Work closely with the Technical Team Lead and Senior Developers within your team and respond to their guidance and support Attend and contribute to sprint ceremonies including planning sessions, stand-ups and retrospectives Understand UMG's complex business domain and be comfortable with the existing code-based solutions Ensure that the acceptance criteria of user stories are met and failures in QA are limited Produce high quality code using Test Driven Development Embrace exposure to new architectures, cloud-based infrastructures, microservices and modern ways of working Be able to diagnose issues via debugging, logging and telemetry with tools like Dynatrace Must be able to be self-learn and be motivated to understand code written by others Ability/willingness to work with a remote team with minimal cross-over Able to work with business users to identify and resolve production issues Skills and Experience Required Top Skills Technical: Modern .NET, React.js, Familiarity with AWS Services, Postgres/SQL databases Personal: Easy to work with, Sense of Ownership, Good communication skillsEssential Excellent professional experience of C#, and the modern .Net ecosystem Professional experience with React and test frameworks such as Jest Experience using containerised systems, with some experience with ECS or Kubernetes Experience in writing CI/CD pipelines using tools such as GitHub Actions, Tekton, or similar Professional experience using JavaScript and TypeScript Experience with message-based architecture (SNS/SQS or similar) An understanding of relational and NoSQL databases, Postgres and JSON data type preferred Test Driven Development and Behavior Driven Development A good understanding of design patterns and principles e.g. SOLID and GO4 (desirable) Experience working in an Agile based project delivery environment Ability to refactor code Ability to work in a complex and fast-moving domainDesirable Familiarity with other data stores, including cloud-based managed offerings AWS Cloud (or similar e.g. Azure) Experience in building React components based around Bootstrap Bachelor's in Computer Science, related field, or equivalent demonstrable experience Demonstrable web development experience (experience in media/entertainment industry is a plus) Experience in an agile environment (Scrum and/or Kanban)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Universal Music Group

SENIOR HPC/COMPUTE ARCHITECT ROLE OVERVIEW Owns the strategy and design for optimising risk computation stack across both the C++ engine and the Rust library, from initial architecture through production stabilisation and intraday extension. Responsible for architecture, validation strategy, and technical metrics framework. KEY RESPONSIBILITIES - Define the performance optimisation architecture for the computation stack - C++ library and Rust library paths, with architecture diagrams, sequenced delivery plan, and explicit EOD and near-Real Time performance targets - Establish the test and validation strategy: benchmark definitions, regression test suites, acceptance criteria per milestone - Define the technical metrics framework: what constitutes an optimisation gain, how it is measured - Direct C++/Rust Compute Engineers Real Time and intra-day compute batch PoC execution - Throughout: Provide Technical Lead with compute-side interface specifications for quant library integration TECHNICAL REQUIREMENTS - MANDATORY - Expert C++ (8+ years in production) in numerical computation or financial risk engine context - SIMD, cache efficiency, memory layout for numerical workloads - Production Rust (3+ years): memory management, async runtime (Tokio), unsafe Rust, FFI; profiling and optimising compute workloads end-to-end - Grid/HPC architecture: distributed computation orchestration, job scheduling, workload partitioning for large-scale risk batch; GCP-native grid or cloud HPC frameworks - GCP compute infrastructure: GKE batch workloads, GCE instance selection for compute-intensive workloads, Cloud Batch or equivalent - Performance profiling discipline: CPU profilers (perf, VTune, gperf), memory allocator analysis, latency measurement and statistical benchmarking methodology - Near-Real Time architecture: sub-second to seconds latency compute systems - different scheduling, state management, and compute allocation vs EOD batch - C++/Rust interoperability: FFI, gRPC, or proto-based bridging to Java layer DOMAIN CONTEXT - REQUIRED - Investment bank risk computation experience at engine level: pricing engines, sensitivity computation, scenario-based risk frameworks inside a tier-one institution or equivalent - Equity derivatives product familiarity: options, warrants, equity finance structures About us Crear Group Ltd is a management consultancy focused on business transformation and growth. We help public and private sector organisations deliver complex change, streamline operations, and use data to improve decision-making. From strategy to delivery, we enable better customer outcomes, higher efficiency, lower costs, and sustainable results.

About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.