Validation engineer jobs in LondonCrear alertas

Validation Engineer MHEV System. Engineering knowledge of ICE/MHEV propulsion systems / integration experience. Base overview of Hybrid & Electric xwzovoh Vehicle propulsion systems.

Power System Engineer 02/2026 – 07/2026 initially London The consultant will support projects at various phases by conducting studies. Scope includes: • Create and validate EMT and RMS models for relevant assets (e.g., WTG, PPC, STATCOM, as applicable)., • Plan and execute design and Grid Code compliance studies, small disturbances and fault scenarios., • Draft clear, audit-ready technical documentation for internal review and external compliance; contribute to grid-connection workstreams., • Interface with OEMs on model provisioning, validation, and parameterization., • Summarize findings, recommend mitigations, and ensure quality in line with client standards across multiple projects. Requirements • Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent., • At least 5 years’ hands-on experience with PSCAD for EMT studies, including applicable add-ons and analysis modules, plus required experience with DIgSILENT PowerFactory covering steady-state and RMS analyses., • Experience working with vendor models and parameterization for compliance., • Scripting/automation skills for workflows and post-processing., • Experience coordinating with OEMs for model delivery, validation, and updates. strong data confidentiality practices, • Strong communication skills; able to produce clear reports and stakeholder materials., • Ability to work independently while following clients established methodologies, documentation standards, and QA processes. Nice to Have (Optional) • Experience with National Grid ESO EMT guidelines and evidence requirements., • Experience with grid‑forming controls or advanced STATCOM functionalities. Resources Provided • Client will supply a laptop and all necessary software licenses and access. Engagement Terms • No additional certifications required., • No travel required; the role is fully remote., • Contract basis, billed per hour or per day., • Flexible allocation subject to project demands and priorities.

Staff ASIC Design Engineer This is a rare opportunity to apply your silicon design expertise to truly cutting-edge technology. Innovation sits at the core of this organisation, which develops foundational IP for market-leading graphics processors used in next-generation mobile, smart, and connected devices. As a Staff GPU Hardware Design Engineer, you will play a pivotal role in the design, debug, and optimisation of complex hardware modules, delivering best-in-class performance, power efficiency, and reliability. The Role You will join a highly skilled engineering team working at the forefront of GPU development. In this role, you will take ownership of sophisticated hardware designs, contribute to architectural decisions, and help drive technical excellence across projects. What you’ll do • Collaborate with design, verification, and validation teams to deliver advanced silicon solutions., • Define and document detailed micro-architecture specifications and execution plans aligned with project objectives., • Analyse and optimise complex designs, balancing frequency, area, power, and performance trade-offs., • Participate in design reviews, providing clear, constructive, and technically sound feedback., • Maintain and improve the design environment, while tracking, debugging, and resolving design issues., • Plan, schedule, and deliver assigned work packages to agreed timelines., • Stay current with emerging tools, methodologies, and best practices in silicon design., • Mentor graduate engineers and early-career colleagues, supporting their technical development and professional growth. Experience You’ll have • Strong knowledge of digital IC design techniques and methodologies., • Hands-on experience with RTL design at IP or SoC level using SystemVerilog., • Proven ability to optimise designs across performance, power, and area constraints., • Experience with ASIC or FPGA design tools and environments., • Exposure to formal verification or proof methodologies to capture and validate design intent., • Knowledge of CPU, DSP, or FPU architectures, including debug and test strategies., • Proficiency in C, SystemC, C++, Python, Perl, or TCL., • Understanding of verification requirements derived from architectural and functional specifications., • Experience with GPU or CPU design methodologies, including UVM. On offer is a competitive base salary and bonus scheme.

Location: London Company: Timebeat.app Reports to: Head of Engineering / CTO About Timebeat Timebeat is building next-generation infrastructure for precise, verifiable time and frequency synchronization across distributed systems. Our technology sits at the intersection of hardware, FPGA design, and large-scale systems, enabling customers to measure, guarantee, and reason about time in ways that were not previously possible. As we scale, we are looking for an FPGA engineer who wants to own major technical initiatives, help shape architecture decisions, and grow into a people- and project-leadership role. The Role This role is ideal for a strong FPGA engineer who is ready to take the next step in their career—moving beyond individual contribution into technical leadership, mentoring, and project ownership. You will remain hands-on with FPGA design while also: • Leading FPGA-centric projects end-to-end, • Acting as a technical point of contact across hardware, firmware, and software teams, • Supporting and mentoring other engineers, • Helping define best practices, processes, and technical direction for FPGA development at Timebeat Key Responsibilities Technical Leadership & Delivery • Own the architecture, design, and delivery of FPGA solutions used in production systems, • Translate system-level requirements into FPGA designs and implementation plans, • Drive design reviews, technical decision-making, and trade-off discussions, • Ensure designs meet performance, reliability, and maintainability requirements Hands-On FPGA Engineering • Design, implement, and verify FPGA logic using VHDL and/or Verilog/SystemVerilog, • Work with high-speed interfaces, clocks, timing closure, and synchronization logic, • Integrate FPGA designs with embedded software, drivers, and system-level components, • Support bring-up, debugging, and validation on real hardware Team Growth & Mentorship • Mentor junior and mid-level engineers through code reviews and technical guidance, • Contribute to hiring and onboarding as the FPGA team grows, • Help define engineering standards, documentation, and development workflows Cross-Functional Collaboration • Work closely with software, systems, and product teams to deliver customer-facing features, • Communicate complex technical topics clearly to both technical and non-technical stakeholders, • Support customer or partner engagements where deep FPGA expertise is required Required Skills & Experience • Strong experience in FPGA design and development in a production environment, • Proficiency in VHDL and/or Verilog/SystemVerilog, • Experience with FPGA toolchains (e.g. Xilinx / AMD, Intel / Altera), • Solid understanding of:, • Clocking and timing constraints, • CDC, synchronization, and deterministic timing, • Debugging FPGA designs on hardware, • Experience owning significant technical components or projects, • Comfortable reviewing others’ work and providing constructive feedback Nice to Have • Prior experience leading small teams or acting as a technical lead, • Experience with time-sensitive systems, networking, or high-precision timing, • Exposure to embedded Linux, drivers, or low-level software interfaces, • Familiarity with formal verification, simulation frameworks, or CI for FPGA, • Interest in growing into an engineering management or hybrid lead role What We're Looking For • An engineer who enjoys both building and leading, • Someone excited by ownership, responsibility, and seeing projects through to production, • A collaborative communicator who raises the bar for those around them, • A pragmatic problem-solver who balances technical excellence with delivery Why Join Timebeat • Work on deep technical problems with real-world impact, • Influence the technical direction of FPGA development from an early stage, • Grow into a leadership role at a fast-moving, highly technical company, • Competitive compensation, flexible working, and strong engineering culture

Robotics & Computer Vision Engineer Location : London Salary : £50,000 - £80,000 + Equity About the Role We are seeking a Robotics Software Engineer to design, develop, and optimize intelligent robotic systems that tightly integrate perception and control. This role focuses on building reliable, real-time software that enables robots to perceive their environment and act on it effectively in real-world scenarios. You will work across robotic control, perception, and simulation, contributing to systems that move from research and prototyping to deployment on physical robots. Responsibilities • Design and implement robotic control software that bridges perception and actuation, • Integrate computer vision and perception systems with robotic control pipelines, • Develop and maintain simulation environments for testing and validation, • Implement and deploy real-time computer vision algorithms for robotic applications, • Optimize system performance for low-latency, real-time operation, • Collaborate with cross-functional engineering teams on end-to-end robotic systems, • Research and prototype new approaches to robotic perception and visual understanding, • Debug, profile, and optimize complex software systems for real-world deployment Requirements • Strong programming skills in C++ and Python, • Experience with ROS and real-time robotic systems, • Understanding of robotics fundamentals and control theory, • Strong background in computer vision and image processing, • Experience with OpenCV and PyTorch or TensorFlow, • Experience building or optimizing real-time systems, • Strong debugging and performance optimization skills Nice to Have • Experience with robot hardware integration, • Knowledge of motion planning algorithms, • Familiarity with embedded systems, • Experience with ROS2, • Knowledge of 3D vision techniques, • Prior experience applying computer vision in robotics contexts, • Publications in top-tier computer vision or machine learning conferences

QA Automation Engineer As a QA Automation Engineer (Associate level), you will join an elite engineering squad tasked with evolving a sophisticated .NET automation ecosystem. This is a role for a "Quality Developer", someone who wants to build, break, and optimize systems that the global financial market relies on every single day. The Technical Stack • The Backbone: C# / .NET Core for robust automation development., • Behavioral Testing: BDD implementation using SpecFlow or Reqnroll., • Modern UI & API: Advanced automation utilizing Playwright and Selenium for both interface and deep-layer REST API validation., • Cloud-Native Infra: Working within Azure environments, specifically leveraging AKS (Kubernetes) and Service Bus architectures., • CI/CD & AI: Fully integrated pipelines via GitHub Actions (YAML), with an active culture of using AI tools (Copilot, LLMs, MCPs) to accelerate framework builds. Your Impact • Architecting Quality: Partner with senior leads to design and maintain scalable regression suites that support complex, event-driven financial products., • Deep-Dive Analysis: Move beyond surface-level checks; you will utilize SQL and exploratory techniques to identify root causes within high-velocity messaging streams (FIX, Swift, XML, JSON)., • Pipeline Mastery: Own the quality gate within the CI/CD lifecycle, ensuring automated triggers and data quality checks are seamless and fail-safe., • Agile Innovation: Contribute to a culture that prioritizes Clean Code and innovative testing methodologies, including performance and load testing with tools like NeoLoad. Who You Are • The FinTech Specialist: You have a commercial background in finance, payments, or high-stakes transactional systems., • Code-First Mindset: You are proficient in C# and understand object-oriented principles, design patterns, and how to write maintainable test code., • Naturally Curious: You aren't satisfied with a "pass" result—you want to understand the underlying infrastructure, from Azure microservices to relational database integrity. Package & Culture • Salary: £50,000 – £60,000 per annum., • Rewards: Competitive annual bonus + comprehensive company benefits., • Environment: A "no-micromanagement" zone. You’ll have the autonomy to innovate in a fast-moving, agile setting., • Flexibility: A balanced Hybrid model out of a prime Central London location.

World Wide Technology (WWT), a global technology integrator and IT solutions provider. World Wide Technology, established in 1990 in St. Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in various sectors. With over 10,000 employees globally, we generate $20 billion in annual revenue and operate in regions including the US, UK, Canada, Europe, Costa Rica, APAC, and Middle East. We're proud to be consistently recognized as a top employer by Fortune and Glassdoor for 14 years in a row. World Wide Technology is looking for a Network Engineer. This role is part of WWT’s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner. Please help me with the information needed to process your application, and I will contact you to discuss the role. This is a contract Role & Inside IR35 Network Engineer Contract Duration: 6 months contract Location: London, United Kingdom (Hybrid - 2 days onsite per week) About the role: Ideal candidate will handle a mix of design and implementation tasks for multiple office moves and branch network refreshes, including logical and in some cases physical site setup , automation via scripting and pushing configurations from DNA/ catalyst center , device configuration, and user acceptance test execution, with flexibility to work on both physical and non-physical aspects of campus builds. CNP – CCIE with proven experience on enterprise LAN and WAN design and implementation. Responsibilities: • Strong experience in campus Cisco network technologies, Wi-Fi, campus security, and ideally some knowledge of Fortinet firewalls, though internal support for Fortinet is available; familiarity with Cisco Catalyst Centre, automation pipelines, and a willingness to perform a range of tasks from racking equipment to liaising with end users is essential., • Involved in network design, implementation standards, automation, testing procedures, and the use of third-party and internal resources for specialized tasks., • Network Design and Implementation: High-level designs for new sites are in place, with templates under development; engineers will focus on implementation, requirements gathering, and delivery, with most sites being straightforward (e.g., two switches, a few access points), and more complex fabrics planned for future larger sites., • WAN and Firewall Configuration: Most sites use internet connectivity with VPNs to data centres and local internet breakout; Fortinet firewalls are standard, and while Fortinet skills are advantageous, internal experts will handle advanced configuration, with the expectation that engineers can perform basic troubleshooting and testing., • Testing and Quality Assurance: Testing standards and runbooks are being developed by another internal team, though support for execution of the defined testing with a focus on synthetic and real-user transaction testing, failover scenarios, and ensuring robust handover to end users will be expected to avoid past issues with insufficient site testing., • Wi-Fi Survey and Deployment: For large sites, third parties conduct active Wi-Fi surveys; for smaller sites, the same vendors are used, with potential for in-house surveys in the future; engineers are expected to handle physical installation, controller configuration, and performance validation, but not survey/ placement of WAP designs. All candidates will need to go through a background check. Must be eligible to live and work in the UK. Only successful candidates will be contacted. EQUAL OPPORTUNITIES World Wide Technology is committed to equal opportunities and actively seeks applications from all sectors of the community irrespective of sex, race, color, nationality, ethnic or national origin, disability, marital status, sexual orientation, having responsibility for dependents, age, religion/beliefs, or any other reason which cannot be shown to be justified. Equal Opportunity Employer Minorities/Women/Veterans/Disabled

Support & DevOps Engineer A global fintech are seeking a proactive and technically adept Support & DevOps Engineer to maintain and enhance our production trading environment. This unique hybrid role blends BAU support responsibilities with advanced DevOps engineering tasks, ensuring robust operational efficiency and technical excellence. The successful candidate will provide real-time operational support, build next-generation reconciliation tools for trade consistency across digital and traditional financial assets, and implement comprehensive monitoring and tooling solutions leveraging modern technologies. Primary Responsibilities: • Provide support for production environment issues, promptly diagnosing and resolving problems, both offline and in real-time., • Communicate effectively with internal customers and senior software engineers to resolve and escalate issues clearly and efficiently., • Design, develop, and maintain advanced reconciliation applications to ensure consistency across digital and traditional finance trade-capture processes., • Develop and enhance monitoring dashboards and alerts using DataDog, Grafana, or similar technologies to proactively identify and address production issues, including end-to-end system latency., • Build tooling and monitoring solutions to facilitate comprehensive post-release validation, ensuring software functions correctly following deployments., • Participate in release management processes and uphold best practices following Agile methodologies., • Be the Incident coordinator for operational incidents on the core engineering production platform. This includes all technical internal communications, ensuring processes are followed and all post-incident followup and analysis. Qualifications and Skills: • 5+ years of combined experience in Support, DevOps, SRE, or related technical roles, ideally within financial technology environments., • Strong technical expertise with Python, Unix, PostgreSQL, and familiarity with Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB or equivalent technologies., • Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana)., • Solid experience with AWS Cloud Infrastructure and related operational processes., • Deep understanding of and experience troubleshooting REST APIs and WebSockets., • Exposure to crypto, blockchain (DLT), trading, and risk management systems is highly beneficial., • Familiarity with financial services infrastructure standards and processes (e.g., ITIL) within a DevOps or Site Reliability Engineering (SRE) context., • Demonstrated experience managing multiple priorities effectively and operating efficiently in ambiguous environments., • Excellent documentation and knowledge-sharing skills, coupled with a passion for continuous improvement in documentation strategies and tooling., • Experience with incident response protocols and comfort navigating high-pressure situations., • Proficiency with development workflows and tools (JIRA, Confluence, GitHub, Scrum methodologies)., • Strong written and spoken English communication skills; ability to clearly articulate technical concepts to varied audiences.

Data Engineer – TV Advertising Data (FAST) Location: London – 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets, • Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle’s Microsoft Fabric environment, • Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics, • Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis, • Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem, • Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews, • Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution, • Translate business and analytical needs into well-structured data models and technical solutions, • Automate data workflows to minimise manual processes and improve operational reliability, • Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers, • Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience • 5+ years’ experience working as a Data Engineer or in a similar role, • Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus, • Strong proficiency in Spark SQL and PySpark, including complex transformations, • Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent, • Ability to write efficient, reusable scripts for transformation, validation, and automation, • Hands-on experience integrating data from APIs (REST, JSON), including automated data collection, • Solid understanding of data modelling best practices for analytics and dashboards, • Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs), • Strong problem-solving skills and the ability to diagnose and resolve data issues, • Excellent communication skills and experience working with cross-functional teams, • Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer (Mobile), you will be working on Palisade - Ripple’s flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you’ll do • Mobile development expertise: You have solid experience building high-quality, cross-platform applications for iOS and Android using React Native and TypeScript., • Native familiarity: While you live in JavaScript, experience with native code (Swift, Kotlin, or Objective-C) to bridge gaps or debug native modules is a significant plus., • Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity., • Store deployment: Experience managing the release lifecycle - including certificates, signing, and deploying to the Apple App Store and Google Play Store is a big plus., • Styling proficiency: You have a knack for creating polished mobile interfaces. Experience with Styled Components is a plus, but ultimately, you know how to build layouts that look and feel great on any screen size., • User-obsessed mindset: You don't just write code; you build products. You are passionate about mobile UX, gestures, and animations. Experience with Figma is a plus, helping you bridge the gap between design and engineering., • Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable., • Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers., • Testing culture: You believe that code isn't complete until it's verified. Experience with mobile testing frameworks is highly valued to ensure reliability across devices., • Performance focus: You understand that a janky app is a bad UX. You keep performance in mind, optimising for smooth animations, fast launch times, and efficient memory usage., • Smart tooling usage: You leverage the right tools for the job—including AI assistants—to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship., • Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus.What You'll Bring, • Proven track record of building and delivering backend systems from development to production, • Hands-on experience working on large-scale distributed systems, • Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure, • Familiarity with gRPC and protocol buffers, • Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company, • A self-starter that thrives on autonomy and can see a task through from start to finish, • A positive attitude with a passion for acquiring and sharing knowledge Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Permanent | Space Systems | Hardware, Autonomy, and Innovation We’re supporting a pioneering deep-tech company building autonomous spacecraft systems that can sense, think, and act independently in orbit. Their technology is redefining how we protect and operate satellites in space, and they’re now looking for an Avionics Engineer to help design and deliver the next generation of intelligent orbital platforms If you love building complex electronics for real-world environments and want to work hands-on across design, integration, and testing, this could be your next big step. What You’ll Be Doing • Designing and laying out high-speed and mixed-signal PCBs for advanced space systems., • Conducting hardware bring-up, validation, and debugging using oscilloscopes, logic analysers, and other test equipment., • Building and maintaining electrical harnesses and assemblies for both flight and development hardware., • Working closely with mechanical, software, and systems teams to ensure seamless integration., • Supporting qualification testing for EMC, vibration, and thermal environments. What You’ll Bring • BEng/MEng in Electrical Engineering or equivalent hands-on experience., • Proven experience in PCB design, layout, and hardware testing., • Strong understanding of high-speed interfaces and signal integrity., • Skilled in using lab tools for debugging and performance testing., • Confident in electrical assembly, soldering, and harness fabrication. Nice to Have • Experience designing carrier boards for Linux-based SoCs., • Familiarity with NVIDIA SoCs or embedded Linux hardware platforms., • Exposure to FPGA integration and hardware simulation workflows., • Knowledge of space-rated electronics and fault-tolerant design., • Understanding of signal, power, and thermal integrity analysis. Please get in touch to find out more!

🚀 RF Hardware Design Engineer Location: West London Salary: Up to £60,000 Type: Permanent | Full-Time | On-Site We’re working with an established technology business that designs and manufactures high-performance RF systems for demanding applications. They’re now looking for an experienced RF Design Engineer to take ownership of power amplifier development — from first concept through to production-ready hardware. This is a hands-on engineering role for someone who enjoys building, testing, refining, and shipping real products. 🔧 The Role You’ll be responsible for developing RF amplifier hardware across low to high power ranges, working closely with electronics, mechanical, and test teams. Your work will cover: • Creating end-to-end RF amplifier designs from specification to manufacture, • Running simulations and optimisation for performance, efficiency, and reliability, • Designing RF schematics and multilayer PCB layouts with controlled impedance, • Selecting and integrating active devices, biasing, and protection circuitry, • Building and tuning matching networks and filters, • Supporting antenna integration and impedance matching, • Leading lab validation using industry-standard RF test equipment, • Preparing full technical documentation for release and production, • Managing design revisions, BoMs, and change records You’ll be deeply involved in both design and verification — this is not a desk-only role. ✅ What We’re Looking For We’re interested in engineers who bring strong practical RF experience and enjoy working end-to-end. Essential experience: • Proven background in RF power amplifier design, • Solid understanding of S-parameters, stability, thermal behaviour, and linearity, • Strong PCB layout skills for RF and mixed-signal designs, • Confident using Pulsonix for schematics and layout, • Experience setting up and interpreting RF measurements (VNA, spectrum, power meters), • Knowledge of antenna matching and feed networks, • Hands-on prototyping and rework capability, • Ability to produce clear, structured technical documentation, • Willingness to work fully on site ⭐ Nice to Have Not essential, but highly valued: • Experience with GaN and LDMOS devices, • Thermal management and mechanical integration knowledge, • Linearisation or feedback techniques, • EMC awareness and pre-compliance testing, • Use of tools such as ADS, AWR, or similar, • Automated testing with Python or equivalent, • Exposure to antenna measurement environments 🎯 What’s in It for You • Competitive salary up to £60k, • Company pension, • Free on-site parking, • Stable, long-term engineering environment, • Opportunity to work on real-world RF products from concept to launch

CMC are working with a client of ours who operates in the Defence / Space sector who needs an immediate Technical Lead Senior RF Systems Engineer on a critical V-Band High Power Amplifier / Block Upconverter development programme. This is a hands-on Systems Role and the successful contractor will take ownership of the RF engineering workstream, operating as the technical authority while working closely with a small, highly capable internal team. Key experience we’re interested in: • mmWave / microwave RF systems (V-Band highly desirable), • High Power Amplifiers (TWTA, GaN SSPA, hybrid HPAs), • SATCOM uplink hardware, BUCs, waveguide architectures, • Leading RF budgets, integration, validation, and performance delivery Details: • Initial 6-month contract (extension highly likely), • UK-based, hybrid (Rickmansworth / Hook), • BPSS / British National Required If this is of interest please apply with your most up-to-date CV and we will be in touch with more details Why work with CMC? By partnering with CMC, you gain access to a global network of advanced engineering projects. From our worldwide offices, we support you throughout the project lifecycle with full scope-of-work transparency before you begin. Once your project is complete, we help secure your next engagement, ensuring continuity and support in your consulting career.

My client, an elite systematic trading firm, is looking for an Application Support Engineer to join a high-impact, London-based team at the cutting edge of global markets. This is a career-defining opportunity to join an engineering-driven firm where technology is core to every decision. You will provide mission-critical support for low-latency trading systems, automate infrastructure and application processes, and collaborate directly with trading, development, and infrastructure teams. You will operate in a high-performance environment that values precision, initiative, and continuous innovation. Key Responsibilities • Ensure maximum uptime of latency-sensitive trading platforms, proactively identifying and resolving production issues., • Automate and enhance support functions using Python, SQL, and monitoring tools like Splunk and Grafana., • Collaborate with traders, developers, and network engineers to troubleshoot live issues and optimise trading operations., • Build, maintain, and document proactive alerting systems and health checks for internal and external connectivity (e.g., FIX, REST APIs)., • Drive operational excellence through robust incident management, process improvement, and knowledge-sharing across regions., • Play a key role in onboarding new trading desks, products, and exchanges—delivering low-latency infrastructure and reliable integration. Ideal Candidate Profile • 3+ years’ experience supporting high-performance trading systems in a Python and Linux-heavy environment., • Proven expertise in FIX protocol, trading workflows, and exchange connectivity., • Skilled in scripting for automation (Python, Bash) and familiar with tools like Ansible and Geneos., • Experience with relational databases (Postgres, Sybase, Oracle) and writing performant SQL queries., • Knowledge of production-grade monitoring tools (e.g., Grafana, Splunk), alert tuning, and system health validation., • Understanding of low-latency infrastructure, colocation environments, and performance tuning (CPU affinity, NUMA)., • Strong communicator with a sense of urgency and ownership; capable of leading investigations To apply, please send your CV to or respond directly to this advert.

Are you an experienced Power Electronics or Complex Electronics engineer looking to take the next step in your career? Join a leading telecoms company that designs and delivers subsea network cable infrastructure used by global communications providers. In this role, you will develop System Technical Functional Specifications (TFS) and guide the design of complex electronic systems. You’ll work across multiple engineering disciplines, ensuring that all requirements are met, conflicts are resolved, and designs align with the bigger picture. Your ability to balance different priorities and make informed architectural decisions will be key to delivering robust, reliable systems. What you’ll do: • Develop and maintain System Technical Functional Specifications (TFS) and ensure traceability across all engineering functions., • Coordinate with electrical, software, firmware, and mechanical teams to resolve design conflicts and ensure seamless system integration., • Take a holistic view of system requirements, assessing the impact of design choices on performance, reliability, cost, and manufacturability., • Support testing, validation, and risk analysis to ensure high-quality, robust system designs., • Provide technical leadership and guidance across multidisciplinary teams. What we’re looking for: • Strong experience in Power Electronics or complex electronics systems., • Proven ability to develop technical specifications and work across multiple engineering disciplines., • Excellent problem-solving, analytical, and decision-making skills., • Effective communication and stakeholder management – able to explain technical decisions clearly and resolve conflicts., • Experience with system architecture, integration, and validation is highly desirable. Why this role? • Work with cutting-edge subsea telecoms infrastructure in a leading, global company., • Hybrid working with 3 days per week onsite., • Competitive salary: £80,000 – £82,000 + £6k car allowance and 10% bonus., • Opportunity to shape the system architecture and influence key engineering decisions.

Technical Solutions Engineer – Deep-Tech AI (RetailTech / PoS Vision AI) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity We’re partnering with one of London’s most exciting deep-tech AI scale-ups, pioneers of on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores. Their edge platform powers real-time computer vision and PoS automation across global retail estates. They’re hiring a Technical Solutions Engineer, not a TAM, not a PM, not an implementation role. Think: deep troubleshooting, edge deployments, distributed systems, containers, logs, Linux, cloud, and full technical ownership of AI models running across thousands of PoS devices. If you love pulling systems apart, debugging across multiple layers, and being the technical face of a cutting-edge AI product, this is for you. What You’ll Be Doing • Own the technical success of enterprise deployments across thousands of PoS + edge devices, • Troubleshoot end-to-end: AI model behaviour, device integrations, networks, cloud infra, on-device performance, • Analyse logs, metrics and telemetry (Grafana, Metabase) to pinpoint root cause, • Work hands-on with Linux, SQL, Docker, AWS/GCP/Azure, • Lead pilots, rollouts and on-device testing across major retail estates, • Collaborate with Engineering, ML, and Product to improve reliability + performance, • Manage incidents from first alert to identifying product-level bugs, • Translate complex technical issues into clear, actionable guidance for enterprise retail clients, • Act as the dedicated technical point of contact for strategic accounts Ideal Background You’re a hands-on, client facing, technical support engineer with real ownership experience in live customer environments, ideally within RetailTech (SaaS), PoS systems, edge AI, computer vision, or IoT. You understand: • Edge ML pipelines (training, validation, orchestration), • Retail IT infrastructure (PoS, SCO, store networks), • Integration frameworks (APIs, SDKs, cloud-edge sync) Technical Requirements Strong troubleshooting across: • SQL, • Linux / OS-level commands, • Docker / containers, • Cloud (AWS, GCP, Azure), • Log analysis, performance monitoring, • Diagnosing issues across AI models, integrations, networks, device hardware, cloud layers Highly relevant backgrounds: • Technical Support Engineer (L2/L3), • Solutions Engineer, • Platform Support Engineer / SRE-lite, • Deeply technical TAM (SaaS/AI/IoT), • Experience with distributed systems, edge devices, IoT or ML/AI environments Why Join • Work across AI, PoS vision, hardware, cloud, edge, distributed systems, • Massive technical variety, no two issues look the same, • Direct input into product decisions, • Equity with meaningful upside, • Real-world impact across thousands of retail devices globally, • Perfect for engineers who want customer-facing work without sacrificing technical depth Interested? If you’re a strong technical trouble shooter who thrives on autonomy, complex systems, and customer-facing support engineering in the world of RetailTech and PoS AI, we’d love to speak with you.

Who We Are At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally, with locations in Ashburn, London, Frankfurt, Paris, Milan, Osaka, São Paulo, and more. As we embark on an exciting phase of global growth, we are building a diverse and talented team to drive our success and help shape the future of mission-critical infrastructure at CloudHQ. Role Overview The Associate Electrical Engineer, Development will lead the design, planning, and execution of highly efficient and scalable electrical systems for developer-led data center projects. This critical role focuses on providing technical leadership and oversight across the entire development lifecycle, including concept design, detailed engineering, installation, and commissioning phases. The successful candidate will act as the trusted expert for high-voltage electrical systems, power distribution configurations, redundancy solutions, and operational optimization within hyperscale environments. This role requires advanced technical proficiency, project leadership experience, and the ability to collaborate across multidisciplinary teams to deliver resilient, energy-efficient data center infrastructure for global cloud service providers. Key Responsibilities • Technical Leadership in Electrical Systems Design, • Serve as the technical authority guiding the development and implementation of electrical systems, including:, • High-voltage power systems, • UPS systems (Uninterruptible Power Supply), • Switchgear configurations and redundancy solutions, • Transformers, busbars, and power distribution panels, • Emergency backup generators, • Lead the development of electrical specifications, ensuring all systems meet CloudHQ’s standards for reliability, scalability, and energy efficiency., • Conduct and review advanced calculations on load distribution, fault currents, and energy usage to optimize designs for hyperscale environments., • Manage electrical infrastructure across early-stage design, and procurement phases of data center projects., • Provide guidance to Pre-Development and Development teams to integrate electrical systems into early-stage master planning, feasibility studies, and land acquisition specifications., • Review and evaluate contractor and vendor proposals to ensure compliance with project-specific electrical design requirements., • Collaborate with internal and external engineering teams to ensure seamless integration of electrical systems with mechanical, ICT, and tenant-specific systems., • Lead design team meetings, presenting actionable insights and guiding technical decisions around electrical scopes., • Ensure designs adhere to European building codes, ISO safety directives, and ASHRAE energy efficiency standards., • Monitor and implement standards for energy optimization and carbon reduction in electrical systems, achieving low PUE targets across data center projects., • Oversee factory witness testing for critical electrical equipment, ensuring functionality and compliance before delivery to the site., • Supervise electrical system commissioning, including system validation under peak load conditions to verify operational stability and reliability., • Research emerging technologies such as AI-driven power optimization systems, microgrid integration, and smart energy monitoring, incorporating these innovations into new projects., • Identify opportunities for improving electrical redundancy strategies and fault tolerance capabilities to ensure uptime in mission-critical environments., • Implement IoT-based infrastructure to enable real-time performance monitoring and predictive maintenance for electrical systems. Skills & Experience Technical Expertise Advanced knowledge of electrical systems for mission-critical facilities, including high-density power distribution, backup power integration, and fault tolerance strategies. Proficiency in electrical load calculations, short-circuit analysis, and power path optimization for hyperscale environments. Familiarity with electrical equipment such as: • UPS configurations, • High-voltage transformers, • Switchgear systems and breakers, • Emergency generators and fuel systems, • Busway systems for large-scale distribution panels Software Skills • Expertise in electrical design and analysis tools, including:, • AutoCAD, • Revit, • ETAP for power system modeling, • Other BIM platforms for integrated design coordination. Compliance Knowledge Thorough knowledge of European electrical standards, such as IEC, DIN, ISO, and ASHRAE TC9.9 for mission-critical facilities. Strong understanding of environmental regulations related to electrical system design for energy-efficient operations. Project Management Skills Proven ability to manage multiple data center projects simultaneously while maintaining strict timelines and budgets. Skilled in developing technical reports, progress documentation, and compliance certifications for audits and regulatory submissions. Collaboration & Leadership Exceptional communication skills for stakeholder engagement, team mentoring, and technical presentations to diverse audiences. Ability to guide multidisciplinary teams and influence technical decisions during complex project milestones. Flexibility & Travel Willingness to travel across Europe for on-site inspections, commissioning oversight, and stakeholder meetings, with travel requirements up to 50%. Preferred Qualifications Education: Bachelor’s or Master’s Degree in Electrical Engineering, Power Systems, or related technical fields. Certifications: Professional certifications such as PMP, LEED AP, CEng, or equivalents are highly desirable. Experience: Minimum 10+ years’ experience in designing and delivering electrical systems for developer-led data center or mission-critical projects. Languages: Proficiency in English; fluency in German, French, or other European languages preferred for regional collaboration. At CloudHQ, we deliver cutting-edge data centers that power the modern digital economy. As an Associate Electrical Engineer, Development, you’ll lead the creation of resilient electrical systems for hyperscale environments, collaborating with global experts to build highly efficient infrastructure solutions. Join our growing team and help shape the future of mission-critical technology development in Europe. Visit our LinkedIn page or contact for more information.

You must be based in the UK to apply! About us: Chevalier is tier-one supplier specialising in advanced technology systems primarily for the automotive industry. Our products include Safety-Critical Systems, Access Control, Power Actuators, and Control Electronics. Our products are fitted to a considerable number of top-of-the-range passenger and supercars worldwide. About the team: We are a small team of software engineers looking to expand. We are in search of a competent Software Test Engineer to take on the development of new features and carry out testing/validation of software developed by our contractors. The environment is diverse and friendly. The ideal candidate will: • Be able to integrate themselves in a demanding work environment, • Be a problem solver, • Be hard working and well organised Required • At least 3 years experience in Software Testing, • Extensive experience in C programming, • SPI and BLE, • CAN, • Experience with PIC, NXP microcontrollers, • Experience with Nordic MCUs , ideally with nrf528323 and nrf52840, • Knowledge of debugging and software test strategies, • Supervising the production of test reports

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. We are looking for Engineering Tech Leads with strong expertise in Data Engineering, OpenShift Telemetry, Kafka, Splunk, and LLM‑based observability. This role will lead the design and build of enterprise‑scale telemetry and observability platforms Key Responsibilities: • Design, build, and optimize large‑scale OpenShift telemetry pipelines (metrics, logs, traces)., • Develop Kafka-based streaming solutions—producers, consumers, schemas, and resilient data services., • Engineer multi‑tenant observability data models, ensuring lineage, quality, and SLA compliance., • Integrate enriched telemetry into Splunk for dashboards, alerting, analytics, and proactive insights (Observability Level 4)., • Implement schema governance (Avro/Protobuf), versioning, and compatibility controls., • Build automated validation, replay, and backfill mechanisms for reliable data operations., • Standardize telemetry across platforms using OpenTelemetry for metrics, tracing, and logs., • Leverage LLMs to improve observability workflows—query assistance, anomaly summarization, and runbook automation., • Collaborate with SRE, platform, and application teams on telemetry integration, alerting, and SLOs., • Ensure security, compliance, RBAC, and encryption in all pipeline components., • Maintain clear documentation for data flows, schemas, dashboards, and operational guides. Required Skills: • Strong hands‑on experience with Kafka (producers/consumers, schema registry, KSQL, Kafka Streams)., • Deep understanding of OpenShift/Kubernetes telemetry, Prometheus, OpenTelemetry, and CLI tooling., • Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM) and creating dashboards/alerts., • Proficiency in Python or similar languages for ETL/ELT, enrichment, and validation workflows., • Solid experience with Avro/Protobuf/JSON schemas and compatibility best practices., • Knowledge of observability frameworks and ability to drive towards Level 4 maturity (proactive automation)., • Understanding of multi‑cluster and hybrid cloud telemetry architecture., • Strong grounding in data security, RBAC, secrets management, and encryption., • Excellent communication, analytical thinking, and documentation skills. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production — unlocking even the most complex sites. We’re currently seeking a Robotics Software Engineer to build the control software for electro-mechanical systems, develop tooling for data logging and analysis, implement low-level device drivers and create simulation and validation workflows to support rapid prototyping and fast iteration. Responsibilities: • Designing and implementing control software for electro-mechanical and robotic systems;, • Developing tooling for data logging, analysis, and system performance insights;, • Building and maintaining device drivers for fieldbus interfaces (EtherCAT, CAN);, • Creating simulation environments for system behaviour, testing, and validation;, • Rapidly prototyping new features and system behaviours to support early-stage development;, • Collaborating with mechanical and control teams for integration;, • Ensuring reliability, safety, and maintainability across all software components. Expertise: • Proficiency in C++ and Python;, • MS degree providing a good foundation in mathematics;, • First-principles approach to problem-solving with the ability to break down complex systems;, • Experience with real-time control systems for robotic platforms or mechatronics platforms;, • Experience with data logging, analysis pipelines, and performance tooling;, • Prior robotics experience is beneficial but not required. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

Job Title: QA Automation Engineer (Python / PyTest / Cosmos DB)-Banking Client Exp Required Location: London- 3Days/week Onsite Duration: 6months+ Contract Inside IR35 500GBP/Day Role Overview We are looking for a QA Automation Engineer to join a Pod-based delivery team working on critical applications and data platforms within a global financial market's environment. The role is key to ensuring high quality, reliability, and regulatory compliance across systems that handle large transaction volumes and business-critical data. The ideal candidate will be hands-on in manual and automated testing, with strong experience in Python, PyTest, and exposure to Cosmos DB. The role also requires close collaboration with developers, product owners, and data engineering teams in an Agile, CI/CD-driven environment. Key Responsibilities • Design and execute manual and automated test cases across functional, regression, integration, and end-to-end scenarios, • Validate financial calculations, transaction flows, compliance logic, and reporting across multiple platforms, • Perform end-to-end data validation across ETL pipelines, databases, and reporting layers, • Develop, maintain, and enhance test automation scripts using Python and PyTest, • Support API testing using tools such as Postman and Python libraries, • Validate system performance and scalability using performance and load testing tools, • Ensure systems and data meet regulatory requirements (GDPR, SOX, etc.) through targeted test scenarios and documentation, • Log, track, triage, and report defects using agreed tools and processes, • Work closely with product owners, developers, and business stakeholders to translate requirements into effective test scenarios, • Create, maintain, and update test documentation and internal knowledge repositories Essential Skills & Experience • Strong experience designing and executing test cases across multiple test phases, • Hands-on Python experience for test automation, • Strong experience with PyTest (or similar automation frameworks such as Robot Framework), • Experience working with Cosmos DB (or strong NoSQL database testing experience), • Experience in API testing (Postman, Requests, etc.), • Strong SQL skills for data validation across databases and reporting layers, • Experience with Big Data testing and data-intensive platforms, • Familiarity with CI/CD pipelines and version control tools (Git, Jenkins, GitLab CI, Azure DevOps), • Experience working in Agile / Scrum environments, • Strong communication skills and ability to collaborate within cross-functional Pod teams Desirable / Nice to Have • Experience working in financial services or banking environments, • Understanding of financial regulations such as GDPR, SOX, • Experience with cloud-based QA practices, • Exposure to AI-assisted testing tools, • Knowledge of web technologies (HTML, CSS, JavaScript) and browser automation tools (Selenium), • Formal QA certification (ISTQB or equivalent), • Experience with Microsoft Fabric (advantageous) What the Client Is Looking For • A hands-on QA engineer, not just a test coordinator, • Comfortable working in fast-paced, high-volume, regulated environments, • Strong automation mindset with attention to data quality and system reliability, • Ability to adapt quickly and deliver quality at speed Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email:

Senior Embedded Software Engineer Salary: Up to £100,000 Location: London - 3 days a week We’re working with a rapidly growing tech for good company that is transforming how data, automation, and smart integrations shape the future of digital infrastructure. Their platform optimises real-time operations, connecting users with seamless, intelligent technology solutions. We are looking for a modern, innovative and driven Senior Embedded Software Engineer to join their growing team. They are looking for someone who has commercial experience working with C software development in an IoT, hardware or embedded solutions environment , who is interested in a data-driven AI-first journey. Responsibilities: • Design, implement, and test firmware for embedded systems across diverse market applications., • Enhance codebase architecture to support scalability, maintainability, and future development., • Maintain and support released products, ensuring long-term reliability and performance., • Provide third-level technical support, diagnosing and resolving complex hardware and firmware issues., • Develop and manage automated test frameworks for embedded devices to ensure robust validation., • Create and execute both manual and automated test cases. Key requirements: • 5+ years experience in software development with C in an embedded environment., • Proven knowledge in digital electronics and working at the interface between hardware and firmware., • Strong experience debugging embedded software and associated electronics and hardware tools., • Strong experience in wireless communications, • Familiar with building test applications in Python., • Proven expertise in developing multi-tasking embedded software on microcontrollers, with hands-on experience in low-level peripherals and communication protocols. This is a chance for a Senior Embedded Software Engineer to join an ambitious and increasingly successful business who deliver impact with their modern technology. **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

Overview The Maintenance Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Holds an engineering qualification Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

This is a proactive pipelining initiative. We are not hiring for this role at the moment; however, we are building a pipeline of strong, qualified candidates. Once the position officially opens, we will reach out to shortlisted professionals to begin the interview process. Location: London Work mode: hybrid About the Role: We are seeking an experienced Data Engineer with deep expertise in Power BI and enterprise-scale reporting environments. The ideal candidate will be responsible for designing, optimizing, and maintaining high-performance semantic models, delivering end-to-end BI solutions, and supporting distributed reporting across multiple business domains. Key Responsibilities: Power BI Development & Engineering • Build and optimize Power BI Semantic Models for large datasets (4–5GB+)., • Develop high-performance dashboards using Power BI Desktop & Power BI Service., • Write advanced, performance-optimized DAX following best practices., • Leverage Power Query (M) for scalable data ingestion and transformation., • Perform deep model optimization using Tabular Editor, DAX Studio, and performance analyzer tools., • Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint, and other enterprise systems., • Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems., • Conduct data validation, quality checks, and impact assessments for model and logic changes., • Manage reporting across multiple teams/domains in a structured, enterprise BI environment., • Create clean, intuitive dashboards and wireframes aligned with business needs., • Perform unit testing and follow structured change management processes., • Support large-scale, multi-entity reporting use cases (preferred). Required Skills & Experience: • 10+ years of experience in BI/Data Engineering roles., • Advanced expertise with: Power BI Desktop & Service, Power BI Semantic Models, DAX (advanced, optimized), Power Query (M), SQL (strong proficiency), Tabular Editor & DAX Studio, • Experience working with large datasets and complex enterprise reporting environments., • Strong knowledge of data modeling principles and high-performance tabular architecture., • Excellent communication, problem-solving, and attention to detail. We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding.

Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability. Key Responsibilities • Translating data science models into scalable, production-ready machine learning solutions., • Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring., • Collaborating with data engineers on data architecture, pipelines and feature stores., • Working closely with data scientists to productionise models and improve performance., • Deploying, monitoring and maintaining machine learning models in live environments., • Productionising optimisation and predictive models at scale., • Building systems to anticipate and prevent operational downtime., • Deploying churn and customer behaviour models into live decision-making systems., • Enabling next-best-action and recommendation engines for commercial teams., • Supporting geospatial and advanced analytical models with robust ML infrastructure. What We’re Looking For • 2+ years’ experience building and deploying production machine learning systems., • A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject)., • Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)., • Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts)., • A collaborative mindset with strong communication skills and experience working in cross-functional teams. If this role looks of interest, apply below.

Value Engineer – Data Engineering (AI/Palantir) - hybrid - London £80k-£100k We’re working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It’s not a traditional reporting or BI data engineering position. The focus is on building high-quality, reliable, meaning-aware data pipelines that make AI systems usable, trustworthy, and scalable in real client environments. What the role is really about You’ll be a senior data engineer responsible for designing and operating data pipelines that don’t just move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You’ll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you’ll be doing • Designing and owning end-to-end data pipelines using Python, SQL, and modern cloud platforms, • Structuring data around real-world concepts (entities, relationships, taxonomies), not just tables, • Building data foundations that support knowledge graphs, retrieval pipelines (RAG), embeddings, and agent workflows, • Implementing data quality, validation, lineage, and observability so pipelines are reliable and trusted, • Collaborating in a consulting-style delivery model, working directly with engineers and client stakeholders, • Creating reusable patterns, documentation, and standards that others can build on What we’re looking for • Strong senior-level data engineering experience (typically 5–8 years), • Excellent Python and SQL skills, with hands-on pipeline ownership, • Experience working with cloud data platforms (AWS, Azure, or GCP), • Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most), • Comfortable working in ambiguous, client-facing environments with high ownership

My client is a large windfarm developer with windfarms across the globe. They are looking for a Power System Engineer on a fully remote contract to start in February, details below: The consultant will support projects at various phases by conducting studies. Scope includes: • Create and validate EMT and RMS models for relevant assets (e.g., WTG, PPC, STATCOM, as applicable)., • Plan and execute design and Grid Code compliance studies, small disturbances and fault scenarios., • Draft clear, audit-ready technical documentation for internal review and external compliance; contribute to grid-connection workstreams., • Interface with OEMs on model provisioning, validation, and parameterization., • Summarize findings, recommend mitigations, and ensure quality in line with Ørsted standards across multiple projects. Requirements • Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent., • At least 5 years’ hands-on experience with PSCAD for EMT studies, including applicable add-ons and analysis modules, plus required experience with DIgSILENT PowerFactory covering steady-state and RMS analyses., • Experience working with vendor models and parameterization for compliance., • Scripting/automation skills for workflows and post-processing., • Experience coordinating with OEMs for model delivery, validation, and updates. strong data confidentiality practices, • Strong communication skills; able to produce clear reports and stakeholder materials., • Ability to work independently while following Ørsted’s established methodologies, documentation standards, and QA processes. Nice to Have (Optional) • Experience with National Grid ESO EMT guidelines and evidence requirements., • Experience with grid‑forming controls or advanced STATCOM functionalities. For more information, do not hesitate to get in touch!

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a Senior Python Engineer, and we’re hoping it’s you! In this role! You'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML Verification packages. Note that this is a Python code focused role, rather than a Data Science role, so Python programming skills are the priority, where as Machine Learning and Data Science skills are secondary. There will be plenty of opportunity to get involved in machine learning model training, evaluation and deployment, as well as all the associated ecosystems of tools, however the key mission is work magic on our python based tools and packages. We’re looking forward to having you on board! Responsibilities: The position requires a passion for science and engineering, paired with an ability to produce production-ready solutions while working closely with both product and research teams. As a Safe Intelligence Senior Python Engineer, you will: • Play a leadership and mentoring role in Python package and code development including strong modelling of best practice and efficient procedures., • Productise a set of Python packages and tools for use in machine learning applications that build on powerful algorithms developed by the research team., • Contribute towards making verification and robust-learning algorithms scalable and more efficient, and developing a clean, well-organised code-base that supports our goal of making these methods intuitive and easy to use by the wider community., • Work closely with the platform team to interface and containerise the packages and toolkits for scalable deployment., • Stay updated with the latest technologies and trends in Python development and actively contribute to the team's technical knowledge base., • Contribute to Machine Learning related Open Source initiatives. Requirements: The technical requirements for the role are: • Extensive professional experience as a Python-based developer., • Experience with modern Python development techniques and design patterns., • Experience with the development of highly parallelised applications, including memory management., • Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch., • Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining code quality and continuous integration/continuous deployment (CI/CD) pipelines., • Advanced proficiency with code maintenance tools and best practice, including Git and configuring workflows., • Experience either contributing to or maintaining Python based open-source projects., • Have a passion for code quality and things done right. Additional beneficial experience includes: • Familiarity with CUDA and optimising highly parallelised GPU-based computations are a plus, • Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus, • Familiarity with Django and related frameworks / tools, • Familiarity with other programming languages and frameworks At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, researchers and other partners., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with and respectful of others on the team., • Honest, straightforward, and caring about each other’s well-being. Why Safe Intelligence is for you: We strongly believe AI can bring great benefits to individuals and society, but these will only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning, and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigor in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Graduate Trade Desk Engineer August 2026 Start Quant Capital is recruiting a Graduate Trading Technology Engineer for a leading proprietary trading firm based in London. The firm combines advanced technology, applied mathematics, and rigorous research to trade global financial markets. Technology is a core competitive advantage, with a focus on performance, automation, and reliability. You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time. This role blends technical development, analytical problem-solving, and live trading support. You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies. Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. The role provides early exposure to live trading environments and suits a graduate who enjoys numerical problem-solving, fast-paced decision-making, and building practical technical solutions. Key Responsibilities • Provide technical and functional support to traders and researchers, • Develop and maintain internal tools, automation, and trading-related applications, • Assist with testing, validation, and deployment of new releases and strategy changes, • Analyse system metrics and trading data to identify root causes of issues, • Collaborate with engineering teams to enhance system robustness and performance Requirements • STEM degree from a strong academic institution, • Strong numerical, logical, and analytical skills, • Excellent Excel and data-handling ability, • Interest and some experience in programming or technical problem solving, • Familiarity with Linux or technical systems is beneficial, • Ability to perform effectively in high-pressure, time-critical environments, • Strong interest in financial markets and trading technology Additional Information Location: London Start date: August 2026 Office-based role aligned to trading hours with early starts This position offers an exceptional entry point into a front-office trading environment, providing exposure to traders, quantitative research, and advanced trading systems.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are looking for a Robotics Test Automation Engineer to ensure that our robots move, think, and interact with the world safely and reliably. You will own the quality gate for our software releases and lead the validation of new hardware revisions.This is not a standard web-QA role; you will be working directly with Hardware-in-the-Loop (HIL) systems and whole robots, designing automated test benches, and testing regression in complex electromechanical systems. You will play a critical role in decoupling software development from hardware dependencies. What You’ll Do • Software Release Testing, • Release Validation: orchestrate the end-to-end testing pipeline for new software versions, ensuring every release meets safety and performance standards before deploying to the fleet., • CI/CD Integration: Integrate automated tests into our CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to catch regressions immediately after code merges., • Simulation vs. Reality: Expand testing coverage in our simulation environments (e.g., Gazebo, Webots, Isaac Sim) to parallelize software testing before physical validation., • Hardware-in-the-Loop (HIL) & Hardware Revisions, • HIL Framework Design: Build and maintain HIL test benches that simulate real-world inputs (sensor data, motor feedback) to validate control logic on actual target hardware., • New Hardware Bring-up: Collaborate with Electrical and Mechanical Engineering teams to validate new hardware revisions (PCBs, sensors, actuators). You will write the test suites that verify if the new hardware plays nicely with the existing software stack., • Latency & Performance: Measure real-time performance, ensuring that software changes do not introduce dangerous latency in control loops., • Tooling & Infrastructure, • Develop Python/C++/Shell scripts to automate the flashing of firmware and configuration of robot parameters., • Experience: 3+ years in software test automation, with at least 1 year specifically in Robotics, Embedded Systems, or Automotive., • Coding: Strong proficiency in Python (for scripting/testing) and familiarity with C++ (reading production code)., • Robotics Middleware: Hands-on experience with ROS2. You understand nodes, topics, services, and actions., • HIL Experience: Experience building or maintaining Hardware-in-the-Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN)., • OS: Deep comfort with Linux (Ubuntu) environments., • Nice-to-Have:, • Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim)., • Knowledge of containerization (Docker) for consistent test environments., • Basic electrical debugging skills (using a multimeter/oscilloscope to verify hardware triggers)., • Experience with safety-critical standards (IEC 61508, ISO 26262)., • Languages: Python, C++, Bash scripts, • Robotics: ROS / ROS2, • CI/CD: [e.g., Jenkins, GitLab, GitHub Actions], • Hardware Interfaces: CAN bus, Serial, EtherCAT, • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer, Front End, you will be working on Palisade - Ripple’s flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you’ll do • Modern React expertise: You have solid experience building responsive web applications using ReactJS and TypeScript. You are comfortable with hooks, context, and state management., • Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity., • Styling proficiency: You have a knack for creating polished UIs. Experience with Styled Components is a major plus, but ultimately, you know how to translate designs into pixel-perfect reality., • User-obsessed mindset: You don't just write code; you build products. You are passionate about the User Experience (UX). Experience with Figma or similar design tools is a plus, helping you bridge the gap between design and engineering., • Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable., • Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers., • Testing culture: You believe that code isn't complete until it's verified. Experience with testing frameworks (like Jest or Cypress) is highly valued to ensure reliability., • Performance focus: You understand that a slow app is a bad UX. You keep performance in mind from the start, optimizing for load times, bundle sizes, and smooth rendering., • Smart tooling usage: You leverage the right tools for the job—including AI assistants—to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship., • Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus.What You'll Bring, • Proven track record of building and delivering backend systems from development to production, • Hands-on experience working on large-scale distributed systems, • Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure, • Familiarity with gRPC and protocol buffers, • Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company, • A self-starter that thrives on autonomy and can see a task through from start to finish, • A positive attitude with a passion for acquiring and sharing knowledge Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision: In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution: As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a highly skilled and motivated Staff/Senior Simulation Robotics Engineer to join our innovative team. The ideal candidate will have a strong background in robotics, simulation, and software development and will be responsible for developing and maintaining advanced simulation environments for robotic systems, enabling the testing and validation of complex robotic behaviors and algorithms. The successful candidate will have the opportunity to work on cutting-edge robotics projects with a talented team in a flexible and supportive work environment with opportunities for professional growth and development. What You’ll Do: • Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions., • Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools., • Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots., • Gym environment. Design Gym-like environments to support the robot learning team in developing locomotion and manipulation policies., • Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement., • Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow., • Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. We’re Looking For: • Education: B. Sc., Master's or Ph.D. in Robotics, Computer Science, or a related field., • Strong programming skills in C++, Python, • Deep expertise in ROS2 and the ROS2 Control stack., • Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim., • Knowledge of robotic kinematics, dynamics, and control., • Experience with gym-like environments for robot learning., • Familiarity with imitation learning, VLA models & Computer Vision techniques., • A proactive, can-do attitude and a collaborative spirit. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Sr. Hardware Validation Engineer Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are looking for an experienced Hardware Validation Engineer to take ownership of our physical testing strategy. This is a foundational role: you will not just run tests; you will build the lab. We are approaching the next level of the design for our sub-systems and full robot assemblies. We need a leader to scout, plan, and equip a dedicated validation facility to ensure our robots meet rigorous regulatory standards and warranty targets. You will define the physical limits of our hardware, managing everything from thermal chambers to EMC scans. What You’ll Do • Facility Establishment & Planning (Immediate Priority), • Lab Build-out: Lead the selection and setup of a physical test facility (internal office space vs. external rental). Assess power requirements, floor loading, and safety protocols for heavy machinery., • Equipment Sourcing: Identify, procure, and commission essential test equipment, including Thermal Chambers, Shaker Tables (Vibration), and EMC pre-compliance tools., • Test Rig Development: Design and build custom mechanical jigs and fixtures to stress-test specific sub-systems (e.g., repeating arm movements, actuators loading, cable flexing)., • Reliability, Durability & Warranty, • Life-Cycle Testing: Execute long-term endurance tests to validate warranty targets. This includes HALT/HASS methodologies to determine Mean Time Between Failures (MTBF)., • Cable & Interconnects: Design specific “torture tests” for cable chains and harnesses to detect fatigue and wear before they reach the customer., • Battery & Power: Manage battery cycling stations to validate charge/discharge curves, thermal performance under load, and degradation over time., • Regulatory Compliance & Safety, • EMC & EMI: Manage the Electromagnetic Compatibility strategy. Perform pre-compliance scanning (using EMC cameras/probes) and manage the relationship with external accredited labs for final FCC/CE certification., • NVH (Noise, Vibration, Harshness): Measure and mitigate acoustic noise and mechanical vibration to ensure smooth operation and user comfort., • Experience: 5+ years in Hardware Validation, Reliability Engineering, or Test Engineering, preferably in Robotics, Automotive, or Aerospace., • Facility Setup: Proven experience setting up a test lab, including selecting vendors, managing rental contracts, or commissioning heavy equipment., • Regulatory Knowledge: Deep understanding of certification processes (UL, CE, FCC) and standards (IEC 61000 for EMC, IEC 60068 for Environmental)., • Data Acquisition: Proficiency with DAQ systems (e.g., LabVIEW, National Instruments, Dewesoft) and sensors (accelerometers, thermocouples, load cells)., • Project Management: Ability to manage test timelines that span months (aging/endurance) and ensure they align with the product release roadmap., • Nice-to-Have:, • Mechanical design skills (SolidWorks/CAD) to design your own test fixtures., • Experience specifically with Lithium-Ion battery safety and testing., • Knowledge of Python for automating data collection from test instruments, • The Equipment You Will Manage, • Environmental/Climatic Chambers (Temperature & Humidity), • Vibration Tables / Shakers, • EMC Scanners / Spectrum Analyzers, • Battery Cyclers, • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Mid‑Level Data Engineer (Contract) Start Date: ASAP Contract Duration: 6 Months Experience within the Financial Services Industry is a must. If you're a Data Engineer who enjoys building reliable, scalable data pipelines and wants your work to directly support front‑office decision‑making, this role offers exactly that. You'll join a data engineering function working closely with investment management and front‑office stakeholders, helping ensure critical financial data is delivered accurately, efficiently and at scale. This role sits at the intersection of technology, data, and the business, and is ideal for someone who enjoys ownership, delivery, and solving real‑world data challenges in a regulated environment. This is a hands‑on opportunity for a mid‑level engineer who can contribute from day one and take responsibility for production data workflows. What You'll Be Doing • Building and maintaining end‑to‑end data pipelines (ETL/ELT) to support analytics and downstream use cases, • Developing scalable data solutions using Python, with a focus on maintainability and performance, • Working with Apache Spark / PySpark to process and transform large datasets, • Supporting the ingestion, transformation and validation of complex financial data, • Improving the performance, reliability and resilience of existing data workflows, • Partnering with engineering, analytics and front‑office teams to understand requirements and deliver trusted data assets, • Taking ownership of data issues and seeing them through to resolution, • Contributing ideas that improve data quality, automation, and overall platform efficiency Skills That Will Help You Succeed Essential • Commercial experience as a Data Engineer at a mid‑level, • Strong Python development skills, • Hands‑on experience with Apache Spark / PySpark, • Solid experience building ETL/ELT pipelines, • Background within the financial services industry (investment management experience desirable), • Comfortable working with production systems in a regulated environment, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience across AWS, Azure or GCP What Makes This Role Appealing • You'll work on data that directly supports investment and front‑office functions, • You'll have ownership of production pipelines, not just isolated tasks, • You'll collaborate closely with both technical teams and business stakeholders, • Your work will have clear, visible impact on data quality, reliability and decision‑making Desired Skills and Experience Required Skills & Experience • Commercial experience as a Data Engineer (mid level), • Strong Python skills, • Hands on Apache Spark / PySpark experience, • Experience with ETL/ELT and data extraction, • Background in financial services, ideally investment management, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience (AWS, Azure or GCP)

Simulation Engineer- Freelance/Contract This role centers on building and advancing physical simulation systems for soft and hybrid robots. The work emphasizes accurate modeling of geometry, materials, and dynamics while keeping simulations usable in fast, iterative engineering cycles. The goal is to turn high-fidelity physics into practical tools that directly inform design, evaluation, and experimentation. Role Description You will lead the development and evolution of the physical simulation layer used to represent deformable and partially rigid robotic systems. This includes responsibility for the underlying modeling approach, numerical methods, and software architecture. You will ensure simulations are accurate, efficient, and grounded in experimental reality, while producing outputs that integrate cleanly with optimization, learning, and analysis pipelines. Collaboration across disciplines is expected, but ownership of the simulation stack and its technical direction sits with this role. Core Responsibilities • Build and run detailed physical simulations that capture 3D deformation, material response, and dynamic behavior in soft and hybrid robotic systems, • Enable simulation-driven design workflows, where physics models directly guide exploration, comparison, and decision-making Physics-based modeling • Implement numerical models for large-deformation mechanics, nonlinear materials, and contact, with extensions to fluid or environmental interaction when relevant, • Develop finite-element or reduced-order representations that expose interpretable physical quantities (e.g., strain, stress, energy, efficiency, task-level metrics), • Embed simulation into automated optimization and learning loops to support parameter tuning, design synthesis, and model refinement, • Support autonomous experimentation workflows that use simulation to propose, test, and update designs, • Balance numerical accuracy with runtime performance to support iterative and high-throughput use cases, • Apply adaptive discretization, reduced-order modeling, or surrogate techniques to accelerate exploration, • Design comparison frameworks that evaluate simulation predictions against physical measurements, • Implement automated parameter identification and calibration methods, • Build maintainable, well-documented APIs that expose simulation capabilities and results, • Ensure reproducibility through logging, versioning, and experiment tracking, • Contribute to shared codebases using modern development workflows, testing, and continuous integration Background and Experience Required • Advanced degree (MS or PhD) in mechanical engineering, robotics, applied physics, computational mechanics, or a related field, • Strong grounding in continuum mechanics, numerical methods, and finite element analysis, • Practical experience with commercial or open-source multiphysics simulation tools, • Proficiency in Python and C++ for scientific computing and simulation infrastructure, • Experience diagnosing numerical stability, convergence, and meshing issues, • Prior work on soft, compliant, or hybrid robotic systems, • Familiarity with robotics or physics simulation platforms (e.g., PhysX, Isaac Sim, MuJoCo, PyBullet), • Experience connecting simulation outputs to optimization or learning methods, • Hands-on involvement in experimental testing or model validation, • Experience with scientific visualization tools (e.g., ParaView, VTK, PyVista, Blender), • Exposure to CI/CD practices for research or simulation software What to Expect • Work on technically deep problems at the intersection of mechanics, computation, and robotics, • Ownership over a critical technical system and its future direction, • Opportunities to grow into senior technical or leadership roles, • A collaborative environment that values rigor, experimentation, and iteration

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

About Euphoric Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The Role We are looking for a Lead AI Engineer to drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback., • Be a "Full Stack" Partner: While the backend/data is your home, you are willing to jump into the frontend (React/TS) to implement features (AI or not) or debug an integration. You understand that an algorithm isn’t "done" until the user interacts with it successfully., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategic Advising: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimization. Skills & Experience • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model., • Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing) and how to evaluate them (cross-validation, precision/recall, business metrics)., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What We Look For We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What You’ll Get • Base salary c£140k, • Remote-first setup with optional shared work space passes and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays., • Career rocket fuel - real growth, real ownership, real impact

Validation Engineer - Cyber Security. Capable of working with and configuring security test tools;. Basic knowledge of cybersecurity concepts.

As a Senior Energy Engineer, you will support projects across their full lifecycle, from early-stage assessments and funding applications through to design support, construction verification and post-completion performance validation. You will work closely with internal and external stakeholders to

Role Overview The client is seeking an experienced Azure HCI/Azure Local Engineer to support the design, build, and standardisation of a hybrid infrastructure platform. This role requires deep, hands-on expertise in Azure Local (Azure Stack HCI), hybrid connectivity via Azure Arc, and enterprise-grade automation and identity patterns within a highly regulated environment. The successful candidate will play a key role in delivering repeatable, secure, and automated hybrid infrastructure deployments, working closely with internal teams, enterprise networks, and potentially Microsoft engineering contacts. Key Responsibilities • Design, build, and configure Azure Local/Azure Stack HCI environments, • Create and manage HCI clusters, including:, • Storage Spaces Direct (S2D), • Software-Defined Networking (SDN), • Hyper-V, • Integrate Azure Local platforms with Azure Arc for hybrid control-plane management, • Implement PowerShell-based automation for build, configuration, and validation, • Develop Infrastructure as Code (IaC) using:, • Azure ARM/Bicep (where applicable), • Terraform, • Integrate on-premises HCI platforms with enterprise network and identity architectures, • Apply and enforce RBAC, identity patterns, and enterprise IAM controls, • Standardize and document:, • Build patterns, • Configuration templates, • Operational runbooks, • Ensure solutions are repeatable, auditable, and production-ready, • Support knowledge sharing and handover to internal teams Essential Technical Skills • Deep hands-on experience with Azure Local/Azure Stack HCI, • Strong experience in:, • HCI cluster creation and management, • S2D, SDN, and Hyper-V, • Proven experience with Azure Arc registration and hybrid integration, • Advanced PowerShell Scripting and automation, • Strong understanding of:, • RBAC models, • Identity patterns, • Enterprise IAM, • Practical Infrastructure as Code experience, • Strong hands-on experience with Terraform, • Proven ability to integrate HCI platforms with enterprise-scale networks, • Ability to standardize, document, and industrialize deployments

Engineer to jointhe Operationsteam inSuffolk. Bachelors degree in engineering,life sciencesor.

A fantastic opportunity has arisen for experienced Principal Test Development Engineer to contribute to the design, integration and validation of test system hardware solutions, joining our highly skilled and dynamic Test Equipment Design Team. With the majority of the Test Equipment team being base

About Orchestrade Orchestrade is the market leading complete cross asset front-to-back trading and risk management platform used by investment banks, hedge funds, asset managers, private banks, energy and utility companies. A trusted technology partner that truly understands and meets the needs of firms, from start-up operations to the largest global enterprises. Description As an ETRM Sales Engineer, you will play a pivotal role in supporting the sales and business development efforts of our cross-asset portfolio and risk management platform with a focus on our energy and commodities client segment. Our platform is API-enabled, cloud-ready, and designed to provide best-in-class cross-asset, cross-instrument trade booking & lifecycle management, real time P&L, P&L explain, risk analytics, confirmations & reconciliations and overall portfolio management to our target clients of banks, hedge funds and energy trading firms. You will work closely with sales, product, and engineering teams to demonstrate the value of our technology to prospective clients and help drive revenue growth. Your primary responsibility will be to understand client requirements, provide tailored demonstrations, and articulate with Sales how our solutions can address their business needs. Acting as a trusted advisor, you will bridge the gap between client challenges and the technical capabilities of our platform, ensuring a seamless pre-sales / sales engineering experience. Through detailed product demos and presentations, occasional proof-of-concept (PoC) engagements, and technical deep dives, you will empower prospects to make informed decisions while shaping our go-to-market strategy with valuable client insights. Your work will directly impact sales success, client satisfaction, and the overall growth of the company. This role requires strong financial markets knowledge in the energy & commodities space, technical acumen, and excellent communication skills. You will thrive in a dynamic, fast-paced environment, working collaboratively with internal teams and external stakeholders to showcase our platform's potential and competitive advantages. Responsibilities • [Sales Engineering Strategy & Execution] Support the sales team in developing and executing strategies that position our platform as the leading solution in the energy & commodities space., • [Sales Engineering Strategy & Execution] Conduct pre-and post-demo in-depth discovery sessions to understand client workflows, pain points, and technology requirements. Protect Product Management, Engineering and Development resources to the “last mile” of deals., • [Sales Engineering Strategy & Execution] Tailor product demonstrations to showcase the platform’s value proposition effectively., • [Sales Engineering Strategy & Execution] Contribute and maintain standard tools for effective pre-sales activities, including call reports submission and distribution in Hubspot or other CRM tools, maintenance of a Demo Database which includes positions, trades and market data, Demo Scripts for various use cases, enrichment and validation of the RFI/RFP database, and other tools for the effective operations, • [Sales Engineering Strategy & Execution] Assist Sales in the population and enrichment of the Deal Term Sheet that represents the foundational terms of the legal contract between Orchestrade and the client., • [Client Engagement & Revenue Growth] Build strong relationships with prospective clients, acting as a trusted advisor throughout the pre-sales process., • [Client Engagement & Revenue Growth] Act as the point person whilst collaborating with sales and product teams to craft compelling proposals and respond to RFPs/RFIs., • [Technical Expertise & Product Demonstration] Develop and deliver high-quality product presentations, highlighting functionality and coverage of our platform., • [Technical Expertise & Product Demonstration] Occasionally lead PoCs (these are typically quite rare), ensuring a smooth and impactful evaluation process for potential clients., • [Market & Competitive Intelligence] Stay up-to-date with industry trends, market developments, and competitor offerings to refine our sales approach., • [Market & Competitive Intelligence] Provide feedback to product and engineering teams to help drive continuous improvement and innovation., • [Cross-Functional Collaboration] Work closely with marketing, sales, and implementation teams to align messaging, sales materials, and client onboarding processes., • [Cross-Functional Collaboration] Partner with engineering and development teams to ensure client requirements are effectively translated into product enhancements., • [Process Optimization & Continuous Improvement] Identify and implement best practices in the pre-sales process to improve efficiency and client engagement., • [Process Optimization & Continuous Improvement] Regularly assess and refine demo environments, PoC frameworks, and client-facing documentation to enhance the pre-sales experience., • [Team Player] Communicate knowledge with others and adhere to company tools and policies. This role offers an exciting opportunity to work at the intersection of finance and technology, helping leading financial institutions navigate the complexities of modern energy & commodities markets with cutting-edge solutions. Benefits: Health Plan, pension scheme

My client, an elite systematic trading firm, is looking for an Application Support Engineer to join a high-impact, London-based team at the cutting edge of global markets. This is a career-defining opportunity to join an engineering-driven firm where technology is core to every decision. You will provide mission-critical support for low-latency trading systems, automate infrastructure and application processes, and collaborate directly with trading, development, and infrastructure teams. You will operate in a high-performance environment that values precision, initiative, and continuous innovation. Key Responsibilities • Ensure maximum uptime of latency-sensitive trading platforms, proactively identifying and resolving production issues., • Automate and enhance support functions using Python, SQL, and monitoring tools like Splunk and Grafana., • Collaborate with traders, developers, and network engineers to troubleshoot live issues and optimise trading operations., • Build, maintain, and document proactive alerting systems and health checks for internal and external connectivity (e.g., FIX, REST APIs)., • Drive operational excellence through robust incident management, process improvement, and knowledge-sharing across regions., • Play a key role in onboarding new trading desks, products, and exchanges—delivering low-latency infrastructure and reliable integration. Ideal Candidate Profile • 3+ years’ experience supporting high-performance trading systems in a Python and Linux-heavy environment., • Proven expertise in FIX protocol, trading workflows, and exchange connectivity., • Skilled in scripting for automation (Python, Bash) and familiar with tools like Ansible and Geneos., • Experience with relational databases (Postgres, Sybase, Oracle) and writing performant SQL queries., • Knowledge of production-grade monitoring tools (e.g., Grafana, Splunk), alert tuning, and system health validation., • Understanding of low-latency infrastructure, colocation environments, and performance tuning (CPU affinity, NUMA)., • Strong communicator with a sense of urgency and ownership; capable of leading investigations To apply, please send your CV to or respond directly to this advert.