Trabajos nvidia en LondonCrear alertas

About the Company We are the category-defining platform for AI-native code reviews, purpose-built for modern engineering teams navigating the explosion of AI-generated code. As the most-installed AI application on GitHub and GitLab, we provide an intelligent "Code Guardian" that integrates directly into the developer workflow. While AI coding assistants help developers write code faster, they’ve also introduced a "review bottleneck"—increasing bug counts by nearly 2x. Our platform solves this by providing context-aware, line-by-line feedback, reducing manual review time by up to 50% and ensuring enterprise-grade security and quality. Backed by Series B funding ($90M total) from top-tier investors like CRV and Flex Capital, we are scaling rapidly to help the world’s largest organisations ship safer code, faster. About the Role As an Enterprise Account Executive, you will be a founding member of our senior sales team, responsible for bringing our AI intelligence layer to the Global 2000. You won’t just be selling a tool; you’ll be partnering with CTOs, VPs of Engineering, and Platform Architects to transform their Software Development Lifecycle (SDLC). Responsibilities • Own the Full Lifecycle: Manage complex, high-value sales cycles from strategic discovery and technical PoVs (Proof of Value) to final negotiation and expansion., • Be a Strategic Partner: Engage C-suite and senior technical stakeholders to articulate the ROI of AI-driven code quality and security., • Drive Outbound Growth: Work closely with our GTM team to build a high-quality pipeline within named enterprise accounts., • Navigate Complex Deals: Lead multi-stakeholder negotiations, ensuring our "Zero Data Retention" and SOC2 Type II security posture aligns with rigorous enterprise requirements., • Collaborate Cross-Functionally: Partner with Product and Engineering teams to share market feedback that shapes our roadmap for the next generation of AI-SDLC tools. Qualifications • Proven Closer: 2+ years of experience in Enterprise SaaS sales, ideally within the DevTools, Cybersecurity, or AI infrastructure space., • Technical Fluency: You aren’t a developer, but you’re comfortable discussing Pull Requests, CI/CD pipelines, and the challenges of modern software engineering., • Strategic Thinker: You excel at "Value Selling"—translating technical features into business outcomes like developer velocity, risk mitigation, and cost savings., • Entrepreneurial Spirit: You thrive in high-growth, Series B environments where you can help build the playbook, not just follow one. Why Join Us? • Massive Market Tailwinds: AI is changing how software is written; we are the layer ensuring that code is actually good., • Top-Tier Pedigree: Join a team of fearless innovators and developers from companies like NVIDIA and Scale AI., • Enterprise-Ready Tech: We aren't just a wrapper; our deep "Code Graph" technology and context engine provide value that legacy tools can’t match., • Competitive Package: High OTE, meaningful equity, and the opportunity to be a foundational member of a global sales organisation. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices and strive to create an environment where everyone feels valued and respected.

Strategic Sales Lead – AI Infrastructure (UK) Location: London (Hybrid / Flexible) OTE: £300,000 Reports to: Chief Revenue Officer Why Join This Company? • Senior, revenue-owning role with direct access to executive leadership, • Sell into the top tier of AI companies and AI-native scale-ups globally, • Operate at the centre of the rapidly expanding GPU cloud and AI infrastructure market, • High autonomy with genuine influence over enterprise go-to-market strategy, • Clear progression as the organisation scales internationally The Role This is a senior strategic sales position responsible for driving enterprise expansion across high-growth AI organisations. You will lead complex sales engagements with AI-native companies and select enterprise customers deploying AI infrastructure at scale, owning opportunities from early engagement through to commercial close and delivery. Key Responsibilities • Build and execute a focused account strategy targeting the Top 100 AI companies globally, alongside select enterprise organisations with significant AI compute needs, • Own new logo acquisition and development of a high-value enterprise pipeline, • Lead complex, long-cycle sales involving GPU infrastructure, private cloud and multi-year platform agreements, • Develop trusted executive relationships with CTOs, Heads of AI, Infrastructure leaders and procurement teams, • Position the platform effectively within a fast-moving AI, cloud and GPU ecosystem, • Lead commercial negotiations and contract execution in collaboration with legal, finance and technical teams, • Work closely with engineering and solutions teams to ensure successful deployments and long-term customer success What We’re Looking For Essential • Proven track record closing large, complex enterprise technology deals, • Experience selling into AI companies, AI-native scale-ups or high-growth tech organisations, • Background in enterprise sales across AI infrastructure, cloud, HPC or GPU computing, • Strong ability to engage and influence senior technical and executive stakeholders, • Experience managing multi-stakeholder, long-cycle enterprise sales Nice to Have • Existing relationships within AI labs, foundation model teams or AI research organisations, • Familiarity with GPU infrastructure, NVIDIA compute platforms or sovereign cloud environments, • Exposure to HPC, machine learning platforms, financial services, healthcare or life sciences, • Experience in high-growth infrastructure or developer tools businesses If you are a senior enterprise sales leader looking to play a pivotal role in the global AI infrastructure market, apply in confidence or request a discreet conversation.

If you’re passionate about pushing the limits of embedded software and want your work to have a direct impact on next-generation space systems, this could be for you. We’re working with a pioneering space technology company developing AI-enabled autonomy software for spacecraft. They’re building technology that allows satellites to sense, think, and act independently in orbit, and are now expanding their engineering team in London. What You’ll Be Doing • Designing and developing embedded software for advanced space systems., • Writing real-time code for Linux-based RTOS environments., • Prototyping and testing software on hardware to validate system performance., • Building scalable, modular systems that support autonomous in-orbit operations., • Collaborating with hardware and AI teams to integrate real-world functionality. What You’ll Bring • Strong background in C++ and Python development., • Experience working with embedded Linux or real-time operating systems (RTOS)., • Solid understanding of microcontrollers, device drivers, and hardware integration., • Comfortable debugging, testing, and optimising performance on embedded targets., • A self-starter with a collaborative mindset, able to thrive in fast-moving environments. Nice to Have • Familiarity with communication protocols (SPI, I2C, UART, CAN, Ethernet)., • Knowledge of containerisation (Docker, Kubernetes)., • Experience with BSP generation, real-time kernel configuration, or SoC platforms (e.g. NVIDIA)., • Background in the space, robotics, or autonomy industries. Please get in touch to find out more!

Robotics Software Engineer – Contract – Onsite London We are supporting an innovative engineering organisation developing advanced robotics systems within a real-world manufacturing environment. This is an opportunity to join a highly skilled team at a critical stage, helping prepare an existing system for deployment. This is a hands-on role focused on improving system reliability, developing new features, and ensuring performance in real-world conditions. You’ll work across the software stack alongside mechanical and software engineers, contributing wherever priorities require. Skills & Experience: Essential: • Commercial experience in robotics software development, • Strong programming skills in Python and/or C++, • Experience working with physical robotic systems (not purely simulation), • Experience working within existing codebases and complex systems, • Strong problem-solving skills and ability to manage edge cases, • Ability to contribute quickly with minimal onboarding, • Comfortable working onsite full-time Desirable: • Experience with ROS / ROS2, • PLC programming, • ABB robotics, • Computer vision in robotics (calibration, integration), • Experience with embedded systems (e.g. Jetson), • NVIDIA robotics stack / Isaac Sim, • Linux systems (Docker, networking, device drivers) Additional Information: • Location: London (Hybrid/on-site preferred), • Competitive rate, dependent on experience

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job The mission Work with our AI and data team on Pack AI, our AI driven order consolidation and VRP module. Understand each prospect’s unique data and constraints, shape a custom solution, and clearly communicate results. You will own analytical workstreams end-to-end. What will you do • Client-centred analysis: Partner with potential customers to unpack business goals, data quirks, and constraints; translate them into a simulation plan and success criteria., • Data science hands-on: Clean, transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR)., • Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation)., • API usage & integration: Read docs, consume and stitch APIs (routing, ETAs, data exchange); produce robust scripts/services for repeatable runs., • Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability., • Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first 3–6 months) • You independently run a full simulation cycle (data prep → parameter experiments → recommendations → presentation)., • You deliver clear, written decision memos and visuals stakeholders can validate., • You improve plan quality on at least one prospect (e.g. higher trailer utilisation or reduced mileage) with a documented recipe., • You contribute meaningfully to Athena AI agent development (e.g., build an eval suite for tool execution quality, implement a new data pipeline for agent context) Must-have • Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions., • Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar), • Confident with data cleaning, analysis, transformation, and visualisation., • Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + executive)., • Self-organised, responsible, independent: Prior professional experience; capable of planning your own workload to deadlines., • API usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have • Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules., • Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts., • Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres., • TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment • Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process • 30-min intro (role, your goals), • Python data task (clean/transform + quick viz), • API & systems chat (design a small data pull + retries/observability), • Simulation case (parameter trade-offs; short write-up), • Stakeholder round (present findings; Q&A) What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Robotics Software Engineer – Contract – Onsite London We are supporting an innovative engineering organisation developing advanced robotics systems within a real-world manufacturing environment. This is an opportunity to join a highly skilled team at a critical stage, helping prepare an existing system for deployment. This is a hands-on role focused on improving system reliability, developing new features, and ensuring performance in real-world conditions. You’ll work across the software stack alongside mechanical and software engineers, contributing wherever priorities require. Skills & Experience: Essential: • Commercial experience in robotics software development, • Strong programming skills in Python and/or C++, • Experience working with physical robotic systems (not purely simulation), • Experience working within existing codebases and complex systems, • Strong problem-solving skills and ability to manage edge cases, • Ability to contribute quickly with minimal onboarding, • Comfortable working onsite full-time Desirable: • Experience with ROS / ROS2, • PLC programming, • ABB robotics, • Computer vision in robotics (calibration, integration), • Experience with embedded systems (e.g. Jetson), • NVIDIA robotics stack / Isaac Sim, • Linux systems (Docker, networking, device drivers) Additional Information: • Location: London (Hybrid/on-site preferred), • Competitive rate, dependent on experience

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

We're working with a stealth stage Agentic AI startup who have just secured their firs £10m in funding. Pre-Sales Solution Architect, you’ll be the technical face of company in every customer engagement — from first discovery call through to post-sale handoff. You’ll bridge the gap between what the platform can do and what the customer needs it to do, translating complex multi-agent AI capabilities into clear, compelling solutions. This is a hands-on, front-line role. You’ll run live demonstrations, architect bespoke solutions during technical discovery, lead the technical narrative in RFP and proposal responses, and ensure seamless transitions into delivery. You’ll work closely with the founding team, our engineering function, and our channel partners. About the Role CORE RESPONSIBILITIES • Technical Discovery & Solution Scoping, • Lead technical discovery workshops with enterprise prospects to understand existing infrastructure, workflows, pain points, and AI maturity, • Design and document tailored solution architectures that map the company’s multi-agent platform to customer use cases, • Produce solution design documents, architecture diagrams, and integration blueprints, • Scope effort, dependencies, and technical risk for each opportunity, • Live Demonstrations & Proof of Concept, • Own and deliver compelling live product demonstrations tailored to each prospect’s context and vertical, • Build and maintain demo environments, sample workflows, and reusable POC assets, • Design, execute, and present proof-of-concept engagements that validate platform fit, • Translate demo feedback into product requirements and improvement recommendations, • RFP / ITT / Proposal Response, • Lead the technical content of RFP, ITT, and proposal responses end to end, • Develop and maintain a library of reusable technical response content, solution patterns, and reference architectures, • Collaborate with commercial leads to ensure proposals are technically rigorous and commercially aligned, • Articulate competitive differentiation in technical evaluations and vendor shortlisting, • Post-Sale Handoff & Onboarding Support, • Ensure smooth technical handoffs from pre-sales into delivery and customer success, • Produce onboarding documentation, runbooks, and integration guides for new customers, • Support early-stage deployments and act as a technical bridge during the first 90 days, • Capture implementation learnings and feed them back into pre-sales collateral and product roadmap Qualifications • Experience & Background, • 5–8 years in a pre-sales, solutions architecture, or technical consulting role within enterprise technology, • Demonstrable experience running technical discovery, architecting solutions, and presenting to senior stakeholders (VP / C-level), • Track record of supporting complex, high-value enterprise sales cycles (£500K+), • Experience working with or within channel / alliance partner ecosystems (e.g., WWT, Accenture, Deloitte, or similar), • Technical Skills, • Strong understanding of AI/ML concepts, including large language models (LLMs), agentic AI systems, and multi-agent architectures, • Familiarity with cloud infrastructure (AWS, Azure, GCP) and modern deployment patterns (Kubernetes, containers, microservices), • Working knowledge of enterprise integration patterns — APIs, event-driven architectures, data pipelines, • Awareness of the NVIDIA AI ecosystem (Inference Microservices, NIM, AI Enterprise) is a strong plus, • Comfortable reading and discussing code (Python preferred), even if not a full-time developer, • Attributes, • Exceptional communicator — can make complex AI concepts accessible to both technical and non-technical audiences, • Consultative mindset — you listen first, diagnose before prescribing, and build trust through credibility, • Entrepreneurial energy — comfortable operating in an early-stage, fast-moving environment with evolving processes, • Collaborative and low-ego — works well across sales, product, and engineering without rigid boundaries, • Self-directed and organised — manages multiple concurrent opportunities without dropping balls

SVP Sales Role Overview A global leader in business process management (BPM) is seeking a Senior Vice President of Sales.The company delivers a full spectrum of BPM services including finance & accounting, procurement, customer interaction, and human resources, using collaborative models tailored to unique business challenges. The SVP will be a member of the sales leadership team for the "Disruptor / Technology & Professional Solutions" division. (Client examples include - Nvidia, Alphabet (Google), Microsoft, Apple, Amazon, Sony, Samsung etc.) This person will have overall responsibility for delivering recognised annual revenues as per a Personal Performance Plan by networking, generating leads, assessing opportunities, creatively building solutions, overseeing the bid process to create the winning proposal, through to contract closure. Specific Responsibilities: * Building a sales strategy for the UK/Europe region, running the sales process accordingly. * Refining client segments in all possible areas within the different sectors of theindustry. * Developing and coordinating the sales selling cycle and methodology with all constituencies (marketing, operations, finance, etc.). * Agreeing on sales quota for signed revenue and sales target for billed revenue in line with knowledge services practices. * De...

Data Centre Design Manager Inside IR35 | Long-term Contract 50% Remote | 50% European/US Travel (Expensed) IT Services Provider We are seeking an experienced Data Centre Design Manager to join a major IT Services provider in a lead, design-assurance role supporting large-scale European data centre programmes. This is not a pure build role. You'll act as a technical authority, reviewing designs, shaping delivery plans, and overseeing implementation across complex, enterprise environments. Key Responsibilities Review and approve data centre designs (new build and expansion) Act as lead technical engineer / design authority Develop high-level delivery and implementation plans Provide technical governance throughout the project lifecycle Oversee implementation and resolve design or delivery risks Engage with internal teams, vendors, and customer stakeholders Support design sign-off and senior technical discussions Required Experience: Strong experience delivering large-scale data centre deployments Proven data centre design background (compute, storage, network, power, cooling) Experience operating as a lead engineer or technical authority Able to translate designs into practical delivery plans Comfortable overseeing delivery rather than day-to-day build Willing to travel across Europe/US (approx. 50%)Desirable: Exposure to AI / HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details: Inside IR35 Long-term contract potential 50% remote / 50% European travel (fully expensed) Competitive day rate (experience dependent) Apply now to discuss the role in more detail. ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy

Junior Cloud & Infrastructure Engineer Salary: Starting salary of £35,000 with structured increases over the 24‑month programme, with earning potential of up to circa £60,000 on completion Contract: Fixed-term 24-month programme Location: Hybrid role, with regular on‑site working (Tuesday to Thursday) at Computacenter’s London Blackfriars office with additional regular events and training held in Hatfield Start Date: 15th June 2026 Advert Closing Date: Applications must be submitted by 23:59 on Sunday 26th April 2026 Launch Your Career in Cloud & Infrastructure Engineering Whether you’re a graduate, a bootcamp completer, or early in your tech career, this programme is designed to accelerate your progression into one of the most in‑demand areas of enterprise IT. Hays has partnered with Computacenter, one of Europe’s leading IT services organisations, to deliver a 24‑month Hire, Train, Deploy programme focused on developing the next generation of VMware Cloud Foundation engineers. About the Programme You will begin the programme with a one‑week induction at Hays, followed by fully funded instructor-led technical training delivered by a leading, authorised VMware training partner trusted by enterprise organisations worldwide. Over the course of the 24-month programme, you’ll receive training aligned to real‑world customer environments, covering technologies that are in strong demand across the market. Core training includes: * VMware Cloud Foundation * VMware Cloud Foundation Operations * VMware NSX (Security & Networking) * VMware vSAN (Storage) Optional Training includes: * VMware vSphere Kubernetes Service * VMware Cloud Foundation Automation * VMware Avi Load Balancing * VMware Private AI Foundation with Nvidia Training is hands‑on and lab‑based, designed to equip you with the skills needed to deliver live project work within Computacenter’s engineering teams, supported by ongoing mentoring and certification. Location & Deployment During the 24-month programme you’ll be deployed into Computacenter’s engineering teams, working on customer project cycles. Project work is driven by client needs and may involve travel to customer locations across the UK, so you’ll need to be fully mobile and flexible. Candidates must hold a valid UK driving licence or be willing to obtain one as part of the programme. By the end of the programme, you’ll be operating confidently as a junior‑to‑mid‑level cloud and infrastructure engineer, able to work more independently while continuing to contribute within small, collaborative teams. You’ll be supported by highly marketable, industry‑recognised skills, with strong potential to move into a permanent role on completion of the programme. About You This role is intentionally open to multiple early‑career entry points. We’re keen to hear from people who are technically curious, motivated, and eager to learn, including: * Graduates in Computer Science, STEM, or related disciplines * Bootcamp graduates (cloud, infrastructure, DevOps, IT support, networking, etc.) * Strong self‑taught or homelab candidates with hands‑on experience * Individuals operating at a junior level, with exposure to roles such as: * IT support / service desk (L2‑level exposure) * Junior system or infrastructure administration * Cloud support or DevOps internships * NOC or platform support roles You don’t need to be an expert – this programme is designed to build your capability – but you should have a genuine interest in cloud platforms, infrastructure, and how systems work. Skills & Behaviours We’re Looking For * Motivated and curious, with a strong willingness to learn and engage with complex technologies * A logical and structured problem‑solving mindset * Ability to communicate clearly and confidently with both technical and non‑technical stakeholders * Calm, professional, and confident when working with others, including in client‑facing environments * Comfortable with complexity – willing to ask questions, learn from mistakes, and continuously improve We are committed to equality, diversity and inclusion, and welcome applicants from all backgrounds. We particularly encourage applications from women, ethnically diverse candidates or career changers. Recruitment Process * Short online application, including a small number of screening questions to help us understand your interest and suitability * A 15-minute introductory call with a member of our recruitment team to talk through your application and role details * Brief Teams screening interview to assess skills and behaviours * On‑site assessment day at Computacenter’s Hatfield office on 8th May Eligibility & Security Clearance This role requires Security Check (SC) clearance. Applicants must hold or be eligible to obtain SC‑level vetting in line with UK government guidelines. Ready to Apply? If you want to build a career in cloud and infrastructure with structured training, real‑world experience, and long‑term progression, this programme is designed for you. Apply now to be considered for the June 2026 cohort. We’re committed to supporting you to perform at your best throughout the application and interview process. If you require any reasonable adjustments, please let us know as part of your application and we’ll be happy to support you. If you have any questions about the opportunity, please contact skills @ hays . com Please note: all applications must be submitted online (not via email or social media)

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees.

Experience with Nvidia chipsets in this case Jetson (essential).

We are looking for a Senior HPC and AI Network Software Architect to help build the next generation of scalable AI infrastructure.The role emphasizes distributed training, real‑time inference, and communication efficiency across large systems.You will develop new software and hardware approaches,

You will support customers in integrating NVIDIA's solutions and help shape product roadmaps.

A leading AI technology firm in the United Kingdom is seeking a Solutions Architect to engage with financial institutions, leveraging advanced technologies and driving the adoption of AI solutions.The ideal candidate will have strong experience in AI frameworks like PyTorch and TensorFlow, excellent

A technology solutions provider in the UK is seeking a Solution Architect to design and validate NVIDIA GPU clusters for AI and HPC environments.

The role involves supporting Business Development, working directly with developers, and improving application performance using NVIDIA technologies.

What you’ll be doing:*** Engage the HCLS AI Startup Community in the UK, France, and the Nordics - Build and scale programs that connect regional HCLS startups to NVIDIA technologies, building from NVIDIA’s Inception programs, regional hubs, accelerators, and events efficiently at scale. Engage

Exhibit hands‑on experience with NVIDIA Enterprise software products, Base Command Manager, Run:ai and NVIDIA NIMs. Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, b

A leading technology company is seeking a Healthcare Life Science UK, France, Nordics Startup Lead to engage with the HCLS startup community, build and scale programs connecting startups to NVIDIA technologies.

A leading technology company is seeking a Senior HPC and AI Network Software Architect to develop scalable AI infrastructure.This role involves building and evolving software systems for distributed AI training, developing communication capabilities, and collaborating on hardware features.The positi

A global technology company is seeking a Software Engineer in Software Configuration Management.You will build source control tools and collaborate with engineers to support a large-scale environment.The ideal candidate has a Bachelor's degree in Computer Science or similar, with over 2 years of exp

A leading technology firm in the UK is seeking a skilled Solution Architect to join their Enterprise AI Factory team.The role involves guiding customers in adopting compute and networking solutions, leveraging AI and HPC to build cutting-edge technologies.Candidates should have a Master’s or PhD i

The ideal candidate will have strong C programming experience, particularly with Nvidia Jetson chipsets, and knowledge of bootloaders and kernels is a plus.

Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems. Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms. NVIDIA is seeking engineers to develop algorithm

This role will involve acting as the CTO for the Physical AI domain, designing solutions that integrate NVIDIA technologies with other services.

A leading technology company in the United Kingdom seeks a Senior Networking Test Engineer to join their End-to-End Verification team.The candidate will engage in complex debugging tasks across hardware and system software while focusing on testing large-scale AI clusters.The position requires over

Lead technical engagements with customers & partners on AV maps and localization related topics and support customers with the integration and adaptation of NVIDIA's mapping and localization solutions.

NVIDIA AI Enterprise: Experience with or contributions to NVIDIA deep learning frameworks, particularly NeMo, Megatron Core, or NeMo‑RL. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. We are looking for an individual who can enable custo

NVIDIA has some of the largest source repositories in the world, and we are accelerating. You will collaborate with a global, dedicated group of engineers to support our users as NVIDIA scales to the next level. Operations: Provide full-stack operational and incident response support for the NVIDIA

A leading technology firm in the UK is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack.You will maintain high-performance components and collaborate closely with hardware teams to impact future architectures.Ideal candidates should have a strong s

This role involves supporting developers, demonstrating NVIDIA's AI solutions, and collaborating with various teams to promote technology adoption.

Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms. Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms. Development experience with NVIDIA software libraries and GPUs.

In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s sophisticated AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience,

A leading technology firm in the United Kingdom is seeking a Senior Security Research Architect to advance cybersecurity in networking products.The ideal candidate will have a strong background in formal verification methods and solid programming skills.This role involves collaborating across teams

Development experience with NVIDIA software libraries and GPUs. NVIDIA is at the front‑end of breakthroughs in Artificial Intelligence, High‑Performance Computing, and Visualization. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.

Experience with Nvidia chipsets in this case Jetson (essential).

You will be responsible for advising developers, embedding NVIDIA software, and supporting engineers in improving performance.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu