Trabajos the deep en Reino Unido - Page 12

About Circuit Mind Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. As a Lead Software Engineer, you’ll create simple and elegant solutions to difficult technical problems that the world has not solved before. You will work in close collaboration with a highly-functioning team of software, electronics, algorithm engineers and product managers. Responsibilities • Collaborate with the product team and in-house hardware engineers to understand the problems of hardware engineering teams., • Plan, design, develop, test and iterate on the software solutions to those problems, accounting for functional and non-functional requirements., • Co-design, pair on, and review the development work of other lead software developers., • You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Qualifications We’re only considering exceptional candidates, with the following pre-requisites: • 5+ years of professional software development experience., • 2+ years of professional experience in Python., • 2+ years in a senior software engineer position., • Strong communication and team-work skills., • Experience working in an agile software development environment. Nice-to-haves • Experience in a tech lead position., • An interest in electronic engineering. Benefits • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Learning and development budget to support your professional development., • Yearly retreat., • Access to Circuit Mind's cutting edge EDA platform. Interview Process • Screening Interview, 20-30 min with Operations Manager Hour 2: Implement a new feature in a similar repository. • Final Interview, 120 min With Basilio (CTO and Co-founder) and Rob (Principal Full-stack Engineer). Deep dive into your experience with behavioral and experience-based questions., • Reference Checks: Two references that you provide will be contacted for feedback., • Offer: Based on successful completion of all stages. At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

This role offers the opportunity to influence the future of Android engineering for a major, high-traffic consumer application. If you’re passionate about Kotlin architecture, mobile scalability, and exploring hybrid delivery models, this role places you at the centre of an ambitious mobile evolution programme. We’re seeking an experienced Android Specialist to guide Android teams as they enhance delivery velocity, improve modularity, and evaluate hybrid options. You will provide senior technical leadership, advise on architectural strategy, and embed directly with engineering teams to accelerate parallel feature development. The Impact You’ll Make ● Lead the technical architecture of a large-scale Kotlin-based Android application. ● Evaluate hybrid delivery options, including integrating React Native or WebView-based experiences into native flows. ● Identify architectural simplifications that reduce complexity and speed up delivery. ● Collaborate with iOS leadership to ensure platform parity and alignment. ● Support teams in modularising features and clarifying appropriate distribution of client-side logic. ● Partner closely with product and engineering groups to ensure compatibility with evolving API and BFF designs. ● Mentor Android engineers and promote best practices in Kotlin development. ● Troubleshoot complex performance, stability, or integration issues. Technology Stack & Requirements ● 8+ years of Android development experience with strong expertise in Kotlin. ● Proven ability to architect and scale high-traffic, consumer-facing Android apps. ● Experience evaluating or integrating hybrid frameworks such as React Native. ● Deep understanding of the Android SDK, lifecycle management, concurrency, and performance tuning. ● Familiarity with Gradle and how architecture influences build and release pipelines. ● Ability to read or maintain legacy Java code. Bonus Points ● Experience integrating Kotlin with hybrid technologies like React Native. ● Experience building modularised Android architectures. ● Exposure to enterprise-scale retail or transactional systems. ● Strong platform alignment instincts working closely with iOS teams. What You’ll Bring to Us ● Ability to shape Android technical strategy and influence cross-team decisions. ● Excellent communication and stakeholder engagement skills. ● Pragmatic problem-solving grounded in real-world engineering constraints. ● Collaborative mindset and willingness to mentor teams. ● Forward-looking perspective on hybrid technologies and architectural modernisation.

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.

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers to move fast without breaking things. If you want to operate at the intersection of machine learning and production systems engineering, this role is for you. What You Will Do • Build and maintain CI/CD pipelines for model training, evaluation, and deployment across research, staging, and production environments., • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases., • Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving., • Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health., • Manage infrastructure as code (Terraform, or similar) for compute resources, ensuring efficient scaling across training and inference workloads., • Collaborate with research and engineering teams to establish system SLOs/SLAs aligned with business objectives., • Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge., • Ensure compliance, governance of all ML processes and workflows. What We Look For • Experience building and operating ML infrastructure, ideally in production environments serving real users., • Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows., • Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems., • Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure)., • Experience with relational databases and data processing and query engines (Spark, Trino, or similar)., • Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent)., • Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints., • A mindset that balances reliability with velocity: you care about reliability and reproducibility, but you also enable teams to ship fast. Nice to Have • Experience delivering API services (FastAPI, SpringBoot or similar)., • Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us • You'll be part of a small, high-output team where intensity and focus are the norm., • You'll own the infrastructure that enables research to reach customers reliably and at scale., • You'll solve hard problems at the edge of ML systems: multi-modal models, on-device deployment, real-time inference, and retail-scale operations., • You'll work alongside people who care deeply, move quickly, and hold a high bar for excellence.

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. We champion the builders of tomorrow by providing the infrastructure, tools, services, programs and support for creation on one of the world’s fastest, most sustainable and consistently reliable public blockchain - XRPL. By supporting an open community of developers, they can advance the solutions and innovation needed to allow businesses, consumers, institutions and governments to fuel the engine of a new digital economy. We believe that realizing the Internet of Value hinges on how easily new technology works for more people, and how effectively we can change the way the world operates today. Ripple Custody is helping more people participate in the digital economy by providing enterprise grade custody solutions for large financial institutions and crypto native companies. We have a big vision and the ambition to match. We are seeking the same in engineering managers. You also see the huge potential of this crypto custody and have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this. We’re looking for a results oriented hands-on engineering leader to help manage and guide teams building core security features for Ripple Custody. WHAT YOU'LL DO • Provide technical and business leadership defining Ripple Custody’s long term strategy, ensuring flawless execution building secure software and systems that are scalable and reliable, • Own and deliver the roadmaps of multiple programs while driving technical and operational excellence across the engineering organization, • Mentor and guide the professional and technical development of your team, both managers and engineers, • Provide hands-on technical leadership, • Encourage and drive engineering best practices, • Collaborate with stakeholders across Ripple and the customer community at large, • Establish team objectives and quarterly plans in alignment with business and organizational goals, • Translate technical concepts into tailored content for different audiences including engineers, business and technical leaders, • Scale the team by attracting and mentoring great leaders and engineers at various levels of experienceWhat we're looking for, • 10+ years of hands-on software development leadership experience, managing managers and teams of engineers., • Solid leadership and communication skills., • Hands-on experience building highly secure, scalable distributed systems in modern technology stacks, • Experience with Agile development with a focus on robust software design, scalability and security., • Eagerness to work openly and collaboratively with a diverse team, with a positive attitude and a passion for sharing knowledge., • A technical subject matter expert who provides technical leadership and shares expertise with a growing team of engineers. 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.

Product Engineer | FastAPI, React, Supabase | Generative AI Start Up • Salary: Up to £100k + meaningful equity, • Location: Central London Offices, On-site, • (Please note: sponsorship is not available at this time.) The Role You’ll join a small, high-calibre engineering team building AI-native products from the ground up. In this role, you will work across the full stack to architect, build, and ship production systems powering multimodal AI agents. You’ll design intuitive interaction models for human–AI collaboration, develop scalable backend services, and rapidly prototype new features at pace. You’ll also work directly with the founding team to shape technical direction, defining the platform architecture and helping build a genuinely new category of agent-led product development. This is a true 0→1 engineering environment where you’ll have deep ownership and impact. Non-Negotiables • Full-stack engineering experience with production delivery, • Ability to ship end-to-end features in containerised environments, • Comfortable navigating ambiguity, shifting priorities, and rapid experimentation, • Strong problem-solving mindset with ownership and resilience Nice to Haves • Founder or founding engineer background, • Experience building interfaces for agentic workflows, • Exposure to LLMs, multimodal models, or agent UX (AX), • Experience shaping technical strategy in early-stage teams What You’ll Work With • FastAPI backend development, • React engineering and modern frontend tooling, • Supabase or similar cloud-native backend tools, • LLM agent workflows: tool calling, memory, retries, context updates, • Human–AI interaction models and agent UX (AX) design, • System design, architecture evolution, and scaling pathways, • MCP integrations and multimodal agent capabilities Why join You’ll join a deeply AI-native engineering culture where you’ll help define how humans and agents build products together. You will: • Influence core platform architecture during its foundational stage, • Build and iterate on multimodal agent systems, • Prototype and refine new models of human–agent collaboration, • Work closely with founders on strategy and product direction, • Be part of a high-intensity, supportive team obsessed with building exceptional products Product Engineer | FastAPI, React, Supabase | Generative AI Start Up

Linux Systems & Infrastructure Engineer Hybrid – London £45–50k base + bonus FinTech We’re building something special, and we want someone like you at the center of it. Our platform is used by tier-one banks, hedge funds, and trading firms to identify latency bottlenecks and other issues in high-performance electronic trading environments. Instead of throwing money and hardware at problems, our platform quickly identifies the real issues with insight only a team of trading system performance engineers and ex-technical traders can provide. We’re now expanding, developing our Cloud/SaaS offering, and scaling globally with support from industry leaders who have already validated our product as a category leader from a technical perspective. The Role We’re looking for a Junior Linux Systems & Infrastructure Engineer with some exposure to capital markets. This is a hands-on role in a fast-moving environment, so you’ll need to be curious, adaptable, and ready to learn quickly. You’ll get plenty of support, but also real responsibility from day one. You will: • Own and evolve internal infrastructure, • Support future client deployments, • Contribute to tooling for the Cloud solution, • Work directly with highly-experienced engineers and ex-traders, • Take on real responsibility, fast Tech you'll work with day-to-day: • Linux | Networking | Firewalls, • Kubernetes | Containers | Ansible, • Databases (SQL/NoSQL), • Python and Shell, with exposure to GoLang & C++, • Cloud infrastructure (design, implementation & optimisation), • Optional: AI-based tooling development Working Style Hybrid, 2 days per week in the office for hands-on mentorship and exposure to deep-domain knowledge. You’ll be learning from people at the bleeding edge of electronic trading systems monitoring. If you enjoy a little chaos, speed, and ownership, you’ll thrive here. What’s in it for you? This is a rare chance to learn from top engineers in capital markets monitoring, gaining early exposure to high-performance, real-time trading systems. You’ll work hands-on with Linux, network analysis, SQL, Python, time-series databases, and an award-winning observability platform, contributing to client POCs and live deployments. From configuring instrumentation paths and dashboards to delivering actionable insights, you’ll take ownership of meaningful work and accelerate your growth in both technical and client-facing skills. Other benefits include: • Up to £50,000 (BOE), • 28 days holiday + bank holidays, • Pension contribution If you’re hungry, switched-on, and excited to build in an environment of positive chaos, we want to hear from you! Apply via this advert. .

At NetMind.ai, we’re building the next-generation AI/ML platform powered by a global decentralized GPU infrastructure. Our mission is to deliver the simplest and most accessible generative AI solutions on the market and democratize access to AI technology globally. Our AI services range from inference model APIs, training and fine-tuning, GPU clusters, agentic workflows, to AI consulting—empowering organizations of all sizes and AI developers to seamlessly adopt AI in diverse industries. If you’re passionate about building 0-to-1 AI products, thrive in fast-moving environments, and can bridge deep technical expertise with customer-driven innovation, join us as we shape the future of decentralized AI computing. We are looking for a "Builder"—not a researcher. You will work directly with our Business Development team to translate client needs into functional Proof of Concepts (PoCs). Your goal is to build impressive, working demos at lightning speed using the latest AI tools. This is a pure Applied AI role. We don't need you to train models from scratch; we need you to masterfully orchestrate existing LLMs and tools to solve real business problems. Responsibilities: • Rapid Prototyping: Build functional web-based AI demos from "zero to one" within days (or hours) to support client pitches., • AI Stack Integration: Utilize Claude Code Agent, Google Gemini, and OpenAI APIs to implement features like RAG, document analysis, and automated workflows., • Full-Stack Lite: Use Python and Streamlit to create clean, interactive, and client-ready user interfaces., • Prompt Engineering: Design and optimize complex system prompts to ensure reliable model outputs for business use cases. Requirements: • The "Cursor" User: You are a heavy user of AI coding assistants (e.g., Cursor, Claude Code, GitHub Copilot). You know how to leverage them to code 10x faster., • Python Proficiency: You are comfortable writing clean, modular Python code., • Streamlit Wizard: You can spin up a UI in Streamlit blindly. (Experience with Gradio/Chainlit is also fine)., • API Experience: You are familiar with calling REST APIs and handling JSON data., • Problem Solver: You can take a vague requirement from a BD (e.g., "Analyze this report") and turn it into a technical solution., • Proficient in Chinese Mandarin as you will also work with team in Asia What we offer? • Access to SOTA Tools: Unlimited access to the latest paid APIs (Claude 3.5 Sonnet, Gemini 1.5 Pro, GPT-4o) and tools. We pay for the tech; you build the magic., • Real-world Portfolio: The demos you build aren't toy projects—they address real client needs. You will leave this internship with a solid portfolio of "Applied AI" projects to show future employers., • High Visibility: You won't be hidden in a back office. Your work will be directly seen by clients and business leaders, giving you deep insight into how AI is actually landing in the industry., • Prime office location with skyline view, • Networking opportunities in the AI ecosystem

About PhixFlow PhixFlow is an established (since 2004), highly respected company delivering a unique low-code platform for complex data integration and business process automation. The customers we partner with include major Telcos, Utilities, and Financial Services, to solve their most intricate business challenges. Despite our stability and history, we operate with the agility and technical freedom of a start-up. The Challenge: Innovating Platform Reach, UX, and AI We are looking for a highly capable Full-Stack Engineer who will serve as a core innovator driving the evolution of our PhixFlow platform across three critical areas: 1. Enterprise Integration: Designing and implementing features for seamless data exchange with mission-critical systems like SAP and Salesforce., 2. Intuitive UX/DX (Developer Experience): Extending the platform's reach by designing and building highly intuitive user experiences for less technical business users., 3. AI Integration: Researching and developing new features that integrate AI capabilities into the platform to enhance automation and decision-making. Your ability to learn quickly and reason through complex systems is critical, ensuring we balance innovation with performance, security, and usability. Core Technical Skills Requested ● Proven experience working effectively within large, enterprise-scale codebases. ● Solid proficiency in Java (deep server-side development and platform architecture familiarity). ● Strong experience with JavaScript, TypeScript and React (front-end development, with an interest in UX/UI principles). ● Expertise in SQL and designing/optimising relational database schemas. ● We seek deep understanding of fundamental technical skills, including clean code principles and complex system design. Culture, Compensation & Benefits We understand that outstanding engineers require true work-life balance and flexibility. We are a remote-first company focused entirely on output and quality, not hours logged. We will consider candidates seeking flexible hours, reduced hours, or a compressed working pattern to fit around personal or family commitments. ● Working Pattern: Flexibility is Key: Available as Full-Time (5 days) or equivalent to a 4-day week (Salary adjusted pro-rata). ● Salary Range (Full-Time): £55,000 to £62,000 per annum. ● Work Model: Remote-First. ● Development: 5 dedicated training days per year for professional growth. ● Time Off: 25 days plus bank holidays annual holiday, increasing for long service. Enhanced Maternity, Paternity and Adoption benefits. ● Health & Finance: Company Pension contribution and private health insurance, including Dental and Optical and option to add family members. ● Well-being: Active Wellbeing Committee and Gym membership contribution. ● Team Connection: Weekly virtual coffee chats, regular social events, including an annual Company Christmas Meal. ● In-Person: 4 team meetings per year in Cambridge, UK. Reasonable travel and accommodation costs can be fully expensed for those outside the Cambridge area. ● Equipment: All necessary equipment provided including Laptops, Screens, Chair and Sit-Stand desk. Application & Interview Process We aim for a streamlined and efficient hiring experience that respects your time. 2. Online Assessment: Successful applicants will be invited to complete a short intellectual challenge (logic test) designed to evaluate reasoning and problem-solving aptitude., 3. Interviews: We conduct up to two virtual interviews focusing on technical depth, cultural fit, and your approach to complex challenges. Determining Salary within the Range Salary will be determined based on the successful candidate's proven experience, demonstrated technical expertise, and agreed working pattern. Offers will typically be structured as follows for Full-Time (5-day) work: ● £55,000 - £57,000: For candidates who meet core skills and demonstrate strong learning aptitude, but require moderate ramp-up time on the platform. ● £58,000 - £62,000: For highly experienced candidates who exceed the minimum requirements, have significant and demonstrated expertise in complex integration, and can immediately contribute to the innovation and architectural evolution of the PhixFlow platform. Technology Keywords & Interests Experience with, or a strong interest in, the following or similar technologies and concepts is highly valuable: ● Backend: Java, Spring, Hibernate, multi-threading/concurrency, Quarkus/Micronaut. ● Frontend: JavaScript, TypeScript, React, D3.js, SVG, CSS. ● Database: SQL (SQL Server, MySQL, Oracle), Data Modelling. ● Infrastructure: Cloud Platforms (Azure, AWS), Git. ● Advanced Topics: AI/LLM (Large Language Models), Small Language Models, Fine Tuning, Security, Design Patterns.

SharePoint Developer Permanent | Hybrid At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now. The role: • Will be responsible for working within an agile framework as part of the SharePoint Product Squad to translate demands / requirements into appropriate Epics, Features and Stories with time and value whilst maintaining agile principles. These will then be used to deliver the product to the company in line with the Strategic and Technical Roadmaps., • Will have the ability to adapt these plans in line with prioritisation of demand., • Maintaining high performance levels for service-related processes, and implementing improvement activities wherever necessary, • Taking accountability for their own performance, demand delivery, meeting customer expectations, and driving future demand, • Defines the technical direction of a suite of functional capabilities or modules to the Product Squad and implements these as part of a self-organising team, • Contribute to protecting the products from technical debt and process debt and designs the system architecture to adapt to future change. Responsibilities: • Will Develop, deploy and review SharePoint systems and code to ensure it supports the business process and policy., • Plans and drives software construction activities. Adopts and adapts appropriate software development methods, tools and techniques., • Provides technical expertise to enable the configuration of system components and equipment for systems testing., • Measures and monitors SharePoint for software construction, including software security., • Presenting ideas for SharePoint Farm system improvements., • Producing detailed technical specifications, developing proposed solutions and writing the programme code to develop the solutions, • Technical testing of SharePoint in a controlled environment before go live., • Maintaining SharePoint Farms:- including general housekeeping, data cleanse, reduction of technical debt, bug fixes and configuration., • Designs system components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology., • Identifies and evaluates alternative design options and trade-offs. Creates multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements., • Models, simulates or prototypes the behaviour of proposed system components to enable approval by stakeholders., • Proposes and agrees the configuration items (CIs) to be uniquely identified with naming conventions., • Reviews, verifies and improves own designs against specifications. Leads reviews of others’ designs Skills & Experience: • Deep understanding of application development and promotion into multiple environments, • Experience managing technical software applications and acting as a Subject Matter Expert, • Experience of working in a DevOps / agile environment, • Experience of developing, deploying and supporting SharePoint On-Line and OneDrive, • Experience of developing, deploying and supporting Microsoft Power Platform (Apps, BI, Automate), • A Deep understanding of the M365 suite and its integration with SharePoint Online, • 5 years plus experience in field, • A high level of experience in supporting the delivery of projects and large change requests, • Ability to frequently manage changing priorities and multiple stakeholders, but to keep end-objectives in sight, • Ability to build strong relationships with internal and external partners and working within cross functional and remote teams, • Can do attitude, with impact and influencing style, • Demonstrable team working characteristics, • Highly organised, motivated and detail conscious, • Committed to learning and continuous improvement, • ITIL Foundation (Mandated) be trained at least to ITIL foundation and either appropriate ITIL Intermediate or other appropriate capability training (Preferred), • Agile qualifications (example - ScrumMaster/Product Owner) (Preferred), • Microsoft MS900 (Expected) AZ900 (Expected) About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that’s focused on growth, both yours, our clients’, and the sectors we support. You’ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you’ll be part of our Specialist Talent team. That means you’ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You’ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You’re not a contractor - you’re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Our Culture We’re curious, open, and always learning. We believe in doing great work and doing it with integrity. We support each other, share ideas freely, and celebrate progress big and small. And we care about the impact we make, whether that’s helping clients solve tough problems or creating opportunities for people from all walks of life. Diversity and Inclusion We’re proud to be a diverse team, with 20+ nationalities represented across Peregrine. We welcome people from all backgrounds and experiences, and we’re committed to building an inclusive workplace where everyone can thrive. Through our partnerships and internal initiatives, we’re working to improve social mobility, reduce our environmental impact, and help our clients build more inclusive teams too. Find out more: ___ or check out our LinkedIn

Quant Data Engineer - London - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer in London into a varied role at the intersection of technology, data science, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers and Traders and collaborate on a range of technology projects including: • Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills., • Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration., • Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This role offers a unique chance to gain a deep understanding of quant trading while leveraging your technical expertise to drive results. What you'll bring • 5+ years professional experience and strong competency in Python, including use of NumPy and other scientific libraries., • A passion for working with data / dataframes and solving data-related challenges. Strong Pandas experience is required., • Minimum bachelors degree in a STEM subject at a reputable academic institution., • A desire to work closely with Researchers and accelerate their research, ideally within the finance sector., • The ability to self-manage, self-motivate, and seek process improvement opportunities., • Strong interpersonal and communication skills that enable you to collaborate effectively., • Attention to detail and ability to react to changing priorities., • Experience working in a Linux environment. Why Join? • Exceptional compensation and benefits on offer with world class office settings, • Partner with world-class researchers, traders and technologists, seeing tangible results from your work., • Attractive relocation packages for the successful applicant + family, • Grow your career in a dynamic and supportive environment., • Annual remote working allowance. Vertex Search is acting as a recruitment agency on this requirement.

We are looking for an exceptional Senior Platform Engineer to join a highly technical, engineering-driven team building and running the core infrastructure that powers a complex, mission-critical trading environment. This is a rare opportunity to own infrastructure end-to-end, work with a modern cloud-native stack, and shape a platform that is being engineered with quality, automation, and reliability at its core. If you come from a small, high-trust environment where you’ve worn multiple hats, built systems from first principles, and understand how platforms fit together at a deep systems level—this will be one of the most rewarding roles you can take on. You will be a key member of a senior-only platform team responsible for designing, automating, and operating the full infrastructure stack. You will work across Linux systems, container orchestration, infrastructure-as-code, secrets management, cluster networking/storage interfaces, and cloud integration. This is not a siloed role. You will work in an environment where sharp engineers truly own their systems—designing, provisioning, securing, deploying, maintaining, and scaling them. What You’ll Work On Infrastructure as Code & Automation • Designing and building infrastructure using Terraform, Helm, Ansible, and Puppet, • Implementing fully automated, GitOps-style provisioning and lifecycle management, • Operating and improving large-scale containerised workloads, • Working with Nomad (preferred) or Kubernetes (fully transferable), • Deep Linux engineering (performance, networking, debugging, observability), • Building secure, robust, self-service platform capabilities for engineering teams, • Leveraging Azure cloud primitives, • Working autonomously to solve difficult problems across the full platform layer, • Designing, standing up, and running services in a Linux-native environment, • Working closely with senior technologists across the business What We’re Looking For True Seniority. A platform engineer with breadth as well as depth—not someone who has spent their career in a silo. Linux-first mindset. You live and breathe Linux systems and understand how distributed workloads behave underneath. Modern container & IaC expertise. Strong experience with Nomad/K8s, Terraform, Helm, Ansible/Puppet, Vault, and cloud-native tooling. Breadth of exposure from a smaller environment. Ideally someone from: • A small, high-impact engineering team, • A startup with real ownership Stability and craft. A track record of delivering quality over time—not a job hopper. What We Offer • A senior, engineering-led culture with extremely high technical standards, • The autonomy to design and operate infrastructure the right way, • A role where your impact is visible, meaningful, and valued, • A modern platform built on cloud-native principles, not legacy firefighting, • Competitive compensation for top-tier talent, • An environment that rewards curiosity, ownership, and technical excellence Who This Role Is Perfect For An engineer who: • Wants to own infrastructure rather than sit in a large silo, • Enjoys solving deep technical problems across the full stack, • Likes working alongside other high-calibre senior engineers, • Thrives in an environment with accountability, modern tooling, and genuine complexity, • Wants to see the impact of their work immediately If you want to work in an environment where platform engineering is treated as a first-class discipline—and where the bar is set high—send your profile or reach out for an initial conversation.

Location: 🌍Belfast, London or Barcelona Salary and Compensation: 💷 £80,000 - £110,000 + 📈 Stock Options Benefits: 🏥 Full Medical Insurance + 💻 All Equipment Covered About Eolas Accessing medical knowledge rapidly and easily at the point of care is still very difficult for healthcare professionals. Eolas Medical is transforming how critical medical knowledge is accessed at the point of care. We have a vision that the future of healthcare ensures that the world’s medical knowledge is queried, seamlessly in real time, for every clinical decision ever made for a patient. We’re building and deploying the “brain of an AI doctor”. Designed and developed by doctors, the platform aggregates and indexes tens of thousands of items of medical content, enabling rapid and accurate decision-making. It’s currently being used by hundreds of thousands of healthcare professionals globally, over 85% of acute NHS hospitals, 40% of all doctors in Ireland and also used in world leading institutions in the US including Stanford Healthcare, Mass General and Boston Children’s Hospital. We’ve just closed a $12million Series A fundraise and we’re now hiring our second back end engineer to work alongside our extremely experienced Head of Backend and VP of engineering as well as closing working with a team of doctors helping build the next generation of AI powered clinical knowledge tools. If you are an experienced senior backend engineer this is one of those rare roles where your decisions will literally influence how doctors treat patients every day. The role As a Senior Backend Engineer, you’ll play a key role in building and scaling the core infrastructure that powers our platform. This is a hands-on role requiring deep experience in backend engineering, cloud systems, and architectural thinking. Tech Stack We’re cloud-native platform. Experience with the following will be highly desirable: • AWS – Lambda, API Gateway, Cognito, S3 and OpenSearch, • Node.js / TypeScript and Python, • DynamoDB and PostgreSQL, • Serverless Architecture and microservices patterns., • Infrastructure tools like Terraform, Docker, and CI/CD pipelines., • Security and compliance practices, especially relevant in healthcare. What You’ll Do: • Design and build robust, scalable cloud-first backend systems., • Contribute to infrastructure-as-code practices and DevOps tooling., • Build and maintain LLM-powered features such as RAG pipelines for clinical information., • Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats., • Collaborate closely with our product and frontend teams to deliver high-impact features., • Write clean, well-tested code and guide best practices across the engineering team., • Take ownership of system reliability, performance, and security in a healthcare context. What We’re Looking For: • 5+ years of backend engineering experience in production environments., • Strong AWS proficiency - hands-on experience building and deploying systems in the cloud., • Familiarity with embedding models, chunking strategies, and semantic search., • Experience working in a small team or startup environment., • A pragmatic problem-solver who balances speed with sustainability., • Passion for writing maintainable, scalable code., • Knowledge of security and compliance best practices (e.g. HIPAA/GDPR, NHS DTAC, SOC 2)., • Bonus: experience in healthcare, medtech, or regulated environments. Why join Eolas Medical This is not a normal role. You will help define how AI is safely used in front line healthcare. You will work with a small team of clinician engineers who care deeply about both product quality and patient outcomes. You will join at the moment we move from a lean, scrappy team of seven to a scaled organisation with real resources behind it. You will not be one engineer among many. You will be the person who helps shape how Eolas Medical builds backend infrastructure for years to come. Contact:

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Role: SRE Skills: Deep Linux, Scripting - Python, DevOps, Kubernetes Salary: £500k Plus Location: London The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology 0→1, owning systems end-to-end, and working close to the metal. They will operate across everything from bare-metal Linux to modern build and observability stacks. Overview Join a core engineering group as Lead Site Reliability Engineer, designing and scaling Linux platforms that underpin ML/AI-driven trading. You will architect and own reliability for massive simulation, HPC, and production workloads—ensuring ultra-reliable, ultra-fast trading systems. This is a hands-on, leadership role focused equally on technical depth, strategic decision-making, and driving platform SRE excellence. Key Responsibilities • Lead SRE practices for Linux platforms powering low-latency, high-throughput trading workloads., • Architect, optimize, and tune Linux for performance, resilience, and minimal latency., • Drive incident response, root cause analysis, and continuous reliability improvement across production systems., • Oversee system automation and reproducibility—build, deploy, and fleet-manage bare-metal Linux and containerized stacks., • Manage and enhance Kubernetes clusters, network configuration, and large-scale orchestration., • Set observability standards; expand monitoring, alerting, and performance metrics across platforms., • Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment., • Build Python tools for automation, reliability engineering, and performance analysis., • Design highly distributed systems What You Will Work On • Ultra-reliable, high-performance trading infrastructure where every engineering optimization affects performance, • Next-generation simulation and HPC compute pipelines, supporting ML/AI workflows at scale., • Integration and continuous improvement of internal and open-source tools for automation and reliability., • Strategic platform direction: shaping foundational systems for critical infrastructure in an elite trading environment. Team and Culture • Small, autonomous Linux SRE team with direct ownership and impact., • Collaborative engagement with quants, researchers, and trading experts to deliver robust platforms., • A culture built on deep technical ownership, learning, and high standards of performance engineering Apply now for an informal confidential chat!

Location: London Area (Fully Remote with 1x Monthly in-person meeting + weekly optional co-working in London) Compensation: £65,000 - £85,000 + Path to Meaningful Equity Role Type: Founding Engineer Mentality (Results-Oriented) About Us We are a lean and fast-growing AI and Data Analytics consultancy. While we have deep roots in AI, we build a wide variety of software solutions for our clients—ranging from high-performance mobile data collection tools to complex cloud-native backends. We are looking for an ambitious developer ready to step into a leadership and architectural role. The Role & Culture We operate on a High-Trust, Results-Driven basis. We don't care about 9-5 fixed hours; we care about delivery and excellence. One of our current projects requires deep expertise in Android (Kotlin). While we take on diverse projects across various stacks, your immediate priority will be owning and architecting a performance-critical mobile data collection ecosystem. This is a "many hats" role: one morning you might be designing a system architecture, and that afternoon you might be building a slide deck for a client pitch or debugging a Docker deployment. What You’ll Do • Architect & Build (Kotlin focus): Take full ownership of our high-performance Android data collection app. Expert-level Kotlin is essential here., • Technical Decision Making: Choose the right tool for the job. You have the autonomy to implement new technologies for future projects., • Technical Leadership: Act as an architect for our system ecosystems and mentor the wider team., • Kotlin Expert (Must Have): 3+ years of professional experience. Deep understanding of the Android ecosystem., • Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need to be a principal architect, you must be comfortable designing the "skeleton" of a project., • Ownership Mindset: You understand that in a startup, "done" means deployed and working. You are reliable and reachable when the stakes are high., • Polyglot & Ambitious: You are fearless about swapping to Python, Go, or other technologies. You are a strong "Mid" or "Senior-lite" ready to lead., • True Flexibility: We offer a "give and take" culture. During project downtime, we encourage you to recharge and work reduced hours. As long as you are contactable and the work is done, your schedule is your own., • Unrivaled Autonomy: You choose the stack. You design the systems. You deliver to the customer., • Path to Equity: Following a successful integration and probation period, there is a clear path to meaningful equity ownership., • Impact: You will be a very influential, expert technical person in the company taking us forward as we grow as a business. Apply today. No agencies. We are not currently offering VISA sponsorship.

Role: Network Engineer Skills: CCIE-level routing/switching, Linux, Scripting, DevOps, Kubernetes Salary: £500k+ Location: London The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, or hyperscale infrastructure). They have experience building networks from 0→1 and are comfortable operating across everything from bare‑metal Linux to modern build, observability, and automation stacks. This role sits at the intersection of advanced networking, large‑scale ML/AI platforms, and high‑end automation. Network Engineer – Overview This elite trading firm is seeking a Network Engineer to join a small, high‑impact engineering group supporting ML/AI‑driven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultra‑reliable, ultra‑fast network platforms. You will own critical network infrastructure at scale and help shape the next generation of compute systems. Key Responsibilities • Own the full life cycle of network engineering: design, implementation, and ongoing operations for latency‑sensitive and throughput‑heavy environments., • Support large, distributed networks with expert knowledge of routing, switching, and multicast concepts, ensuring predictable performance under extreme load., • Build and evolve network monitoring, alerting, and observability, integrating telemetry into operational and analytical data stores to support ML/AI and systematic strategies., • Manage and optimise Kubernetes cluster networking and container orchestration, partnering with platform and ML infrastructure teams., • Work extensively on the Linux command line, contributing to automation, tooling, and production‑grade reliability across bare‑metal and virtualised estates., • Collaborate with DevOps and SRE functions to drive infrastructure‑as‑code, repeatable deployments, and highly automated change management. What You Will Work On • Low‑latency network paths supporting execution, research, and large‑scale ML/AI training and inference., • In‑house proprietary platforms spanning fibre and microwave networks, dense data centre fabrics, and high‑performance interconnects., • Platform, configuration, and code contributions that directly improve end‑to‑end latency, throughput, and reliability for critical trading and ML workloads., • Automation frameworks that reduce operational toil, increase determinism, and provide deep, real‑time visibility into network and system behaviour. Team Environment • Small, highly skilled networks and systems engineering team with broad autonomy and a mandate to move quickly., • Close collaboration with quants, researchers, ML engineers, and traders to co‑design infrastructure around real performance needs., • A culture centred on ownership, deep problem‑solving, and performance engineering, where data‑driven decisions and high‑quality automation are the default. Interested candidates are encouraged to apply for a confidential conversation.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

Senior Go (Golang) Engineer | Stealth Fintech | London (Min. 4 days/week onsite in London) Up to £200k + Equity | London Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. They’re creating the world’s first open-source, AI-native "Thin Ledger"—set to replace legacy infrastructure at Tier 1 banks. We're looking for a Senior Engineer specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: • Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB), • Architect distributed, multi-region infra with five-nines reliability, • Contribute to backend, DevOps, and CI/CD decision-making, • Embed AI into engineering workflows & ops, • Self-motivated, problem-solving mindset; open to non-traditional backgrounds. You should have: • Expert backend skill ideally in Golang, or Rust, Zig or C., • Deep expereince building distributed systems from scratch., • Experience in greenfield projects with high ownership., • Motivated and excited to work with AI. Why join: • Huge ownership: build core infra from scratch., • Work with a high-caliber team, fast-paced and product-minded founders who have worked in some of the most recognised tech businesses in the world., • Help define an open-source platform from day one., • Clear path to tech unicorn status with fruitful equity included., • Recently raised 8 figures in funding. Apply within if your skillset matches! Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights, • Collect, clean, and process football-related data from diverse sources, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Senior Mapping Engineer (Large-Scale HD Mapping) — First Key Hire Circa £80k+, London based Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines., • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models., • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs., • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation., • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance., • Define KPIs and validation frameworks for map accuracy, completeness, and consistency., • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems., • Set best practices and technical standards to support future team growth. Experience required • MSc/PhD in Robotics, Computer Vision, Computer Science, or related field., • 4–5+ years hands-on mapping experience in autonomous systems or robotics., • Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines)., • Strong background in vision-based mapping / visual SLAM and multi-sensor fusion., • Proficiency in C++ with strong experience in ROS2., • Solid grounding in estimation, optimization, geometry, kinematics, and TF2. Why join You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. If you are interested in a software engineer role, please ___. Know amazing talent? Refer them at ___, and earn money from your network.

Senior Infrastructure Engineer Location: London | Hybrid: 4 days per week | Type: Permanent Salary: Competitive with excellent bonus and benefits McCabe & Barton are partnering with a leading investment management client in London to appoint a highly skilled Senior Infrastructure Engineer. This pivotal role requires a confident, service-oriented professional to deliver exceptional technical support to executive users while managing cloud operations, Microsoft 365 administration, and core infrastructure services. Role Overview This position plays a key role in ensuring seamless technology operations across the business. You will provide high-level infrastructure and end-user support, with a strong emphasis on VIP and C-suite service delivery. The ideal candidate combines deep technical knowledge with outstanding communication and relationship management skills. Key Responsibilities • VIP & Executive Support: Deliver white-glove IT support to executive stakeholders, handling sensitive issues with discretion, urgency, and professionalism., • Desktop & End-User Expertise: Provide Level 2/3 support across Windows 10/11, iOS, and enterprise productivity tools. Ensure consistent, high-performance user experiences for laptops, desktops, mobiles, AV equipment, and home office setups., • Microsoft 365 Administration: Manage Exchange Online, SharePoint, OneDrive, Teams, and Entra ID (Azure AD), including mailbox management, permissions delegation, and priority user provisioning., • Infrastructure & Cloud Operations: Maintain hybrid environments across Windows Server, VMware, and Azure. Oversee performance monitoring, patching, cost management, backups, and disaster recovery processes., • Network & Connectivity: Troubleshoot TCP/IP, DNS, DHCP, VPNs, SD-WAN, and remote access solutions, ensuring maximum uptime for both on-site and remote users., • Identity & Access Management: Administer Active Directory, group policies, MFA, conditional access, and privileged accounts following best-practice security principles., • Incident & Problem Management: Lead major incident resolution and root cause analysis, coordinating cross-functional teams and implementing preventative actions., • Mobile & Remote Support: Support iOS devices via Intune, configure secure connectivity, and optimize technology for home-based and hybrid users., • Audio-Visual Systems: Manage Teams and Zoom platforms, boardroom AV systems, and hybrid meeting setups, providing seamless support for high-profile meetings., • Proactive Service Management: Anticipate and address user needs, maintain executive asset registers, and help drive continuous service improvements. About You • Experienced in Level 2/3 technical support within enterprise or financial environments., • Strong communicator able to translate technical issues for non-technical stakeholders., • Calm under pressure and capable of managing competing priorities effectively., • Highly personable with a proactive, client-focused mindset. How to Apply If your background aligns with the requirements above, please apply with an up-to-date CV.

Lead GenAI Engineer - Generative AI 💼 Hybrid London (1–2 days/week onsite) 💰 Up to £140k + Equity + Benefits We’re hiring a Lead GenAI Engineer within a high-growth fintech/data intelligence scaleup. This is a hybrid role that combines hands-on technical expertise with line management and team development. You will mentor a young, high-performing engineering group while driving the architecture, delivery, and evolution of our GenAI-powered products. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. Key Responsibilities Leadership & Team Development • Manage and grow a small team of AI Engineers (starting with 2–3, scaling to ~5)., • Act as a player–coach, remaining hands-on while mentoring, unblocking, and developing engineers., • Lead architecture and development of LLM-powered and agentic applications, including RAG systems, chat/workflow agents, and domain-specific AI services., • Drive technical direction with sound judgement and pragmatic decision-making., • Build and deploy production-grade GenAI systems end to end: prototyping → integration → deployment → monitoring., • Work closely with backend, frontend, and product engineering teams to integrate GenAI capabilities. Key Requirements • Demonstrated line management experience leading small teams (2–5 engineers)., • LLMs & transformer-based models, • Agentic frameworks (e.g., LangChain, LangGraph), • Retrieval-Augmented Generation (RAG), • Python, • Building or integrating LLMs into products or workflows, • Working with GenAI frameworks and tooling, • Designing or optimising prompt pipelines, • Deploying or supporting GenAI features in production, • Comfortable balancing leadership responsibilities with hands-on engineering early on., • Experience building agentic workflows, multi-agent systems, or autonomous LLM tools., • Fintech domain exposure (not essential). This position do not provide visa sponsorship and require existing right to work in the UK. Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.

Full Stack Engineer – New Launch Hedge Fund (L/S Equity) Location: London Type: Full-time (5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Engineer to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • No sponsorship available – candidates must have the right to work in the UK.

Key Responsibilities' • This role requires a balance between role model leadership, operational skill, strategic ability, strong financial acumen and be able to communicate at high level of engagement with new and existing clients., • Due to the varied type of projects which the role encompasses, the person needs to have a good understanding of the type of work carried out in this sector and be able to manage and deliver projects successfully., • Be able to demonstrate that either he or she has a proven track record in delivering projects in this sector., • Has already shown clear ownership and leadership qualities., • Be able to be adaptable and be capable to work with several of our key customers., • High level of commercial acumen with a proven track record of working in preconstruction, project procurement and project execution phases., • Have implemented and used appropriate project controls to oversee successful major project delivery., • Experience of identifying and implementing continuous improvement in a project environment., • Experience of actively contributing to the development, analysis and implementation of business strategy and analysis., • Track record of successfully managing and controlling costs, delivering against deadlines, maintaining quality and progression on major projects., • Evidence of building effective relationships with clients., • Deliver on agreed commitments on time., • Manage projects and resources (people, funding, material, support) to get things done effectively and efficiently; set and follow up goals that are concrete and realistic., • Challenge and examine what, how and why we do the things we do with targets that are concrete and realistic; dig deep to ensure a proper view of the situation., • Consider risks and opportunities when making decisions. Qualifications • Bachelor’s degree or higher in Mechanical or Electrical Engineering., • Minimum of 5 years' experience managing engineering projects, ideally within the energy or power sectors., • Advanced project management expertise, encompassing planning, scheduling, and budgeting., • Strong leadership skills with the ability to lead and inspire cross-functional teams effectively., • In-depth understanding of mechanical engineering principles, best practices, and relevant industry standards., • Proficient in using project management software and related tools., • Excellent communication and interpersonal skills to engage effectively with stakeholders at all organisational levels. Package Includes: • Private Health Insurance, • Performance Bonus, • Pension Plan, • 25 days annual leave + Bank Holiday, • Birthday Off, • Great company culture, • Company Events

Container Solutions (CS) Container Solutions is a specialist cloud services provider that solves business problems by designing, building, and implementing technology solutions in a Cloud Native manner. With its extensive experience of delivering large scale transformations for enterprise clients, CS enables organisations to realise all the benefits that operating in the Cloud provides, including flexible deployment of services, resilience of infrastructure, speed to market and automation. We are a small but growing organisation. You will join a highly motivated group of talented people that always strive to do the right thing for our clients. Job Purpose The Senior Consultant Engineer is pivotal in driving technical excellence and innovation within CS. They play a critical role in designing, developing and implementing high quality solutions for our clients, ensuring these meet client needs and goals. They share their knowledge generously with colleagues and contribute to the growth of our team. Our engineers are generalists within the area of Cloud Native. Each project will have its own unique combination of tools and technologies but to give you a taste here’s a list of some of the typical technologies we use: • CI/CD (Jenkins, Argo, Flux), • Cloud Native deployment (Helm/ Kustomize), • Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift), • Infrastructure-as-Code (Terraform, Ansible, Crossplane), • Container orchestration, networking, and automation (Kubernetes, Docker), • Scripting (Bash, Powershell, Python), • Programming languages (Golang, Java, Ruby, Python), • Vulnerability remediation and mitigation tools (BlackDuck, Snyk) We value your ability to adapt over deep specialization. In addition, we're currently seeking folks with strong experience in security and compliance to strengthen our ongoing efforts around continuous compliance project. This is an external client facing and billable role. Key Responsibilities Client Engagements This role is client facing, this means you will use your technical expertise, problem solving skills and utilise advanced engineering principles and techniques to develop and implement solutions in collaboration with or for our clients. Quality Assurance You will make sure that your work meets the highest standard. You will support and consistently review deliverables produced by the team to ensure high quality. Team Cohesion You will rally teams towards achieving outcomes. You will bring the team together to resolve minor issues and can lead technical discussions. Technical Pre-sales You may be called upon to support the sales function in a technical pre-sales capacity, helping to translate client requirements into a statement of work. Technical Hiring You will support the growth of our team through participation in panel interviews. Personal Attributes Passion for Technology • Genuine passion for engineering and technology, • Works effectively in cross functional teams, • Ability to handle high-pressure situation, comfortable with ambiguity, • Demonstrates integrity in all interactions and decision making, • High ethical standards Skills and Experience Technical Expertise • Excellent communicator, able to deliver presentations or contribute to high quality technical documentation and other content, • Ability to handle difficult situations and conversations, able to read the room and adjust course of a meeting, • Demonstrates ability to identify opportunities within existing client engagements, • Acts as a trusted advisor to technical leads, proactively shares insights with key stakeholders, • Demonstrates strong understanding of CS as a business through proactive participation in the production of standardised value propositions, documentation and service offerings. Why join Container Solutions? • You get to work with a variety of different cloud technologies, and get to experience multiple ways of working as you engage with various clients, • Small company atmosphere, where decision-makers are easily reached, and bureaucracy is kept to a minimum - our clients who need transformation may differ!, • Working directly with peers in a supportive learning environment where we value outcomes and the journey as well as outputs, • A leadership team that values work-life balance and respects you have a life outside the workplace, • Private health cover including Dental and Employee Assistance Program with AXA, • Life Insurance, • Income Protection Insurance, • Bank holidays and 25 annual vacation days (27 after 2 years of service), • Sick leave and pay policy (beyond statutory), • Workplace Pension (beyond statutory), • Working from home allowance, • Access to L&D, • Cycle to work scheme, • Opportunity to work together in-person in the London office, or work remotely (some team members are fully-remote)

Junior Applied Scientist London — Onsite Our client are building context-aware agentic systems that augment data science, software, and product teams inside large enterprises. The systems reason over complex organisational data, take multi-step actions, and integrate deeply with existing business workflows. We are now expanding the Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research track record at leading ML/AI conferences. As this is a role within the Applied team, candidates must be confident in their ability to move research through to production. What You’ll Work On • Develop and iterate on core models for context-aware enterprise agents, including planning, retrieval, grounding, and multi-step decision pipelines., • Conduct research on any ML frontier relevant to agentic systems e.g., LLMs, multimodal models, structured reasoning, data generation, or video-text modelling., • Build robust training, evaluation, and benchmarking setups for new model variants and agent behaviours., • Prototype new agent capabilities and work closely with engineering teams to turn them into production-quality features., • Analyse failure modes of agents in real customer environments and design methods to improve reliability, grounding, and actionability., • Contribute to internal research papers, technical memos, and (where appropriate) external publications. Who You Are • Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university., • Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, or EMNLP., • Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.)., • Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow)., • Ability to bridge high-level research with practical implementation., • Curious, humble, and excited to work on hard technical problems with real enterprise impact. Nice to Have • Experience in agentic or autonomous decision-making systems (not required)., • Prior work on LLM alignment, grounding, tool use, or planning., • Experience with enterprise data environments, knowledge graphs, or retrieval systems., • Hands-on experience with large-scale training, distributed compute, or evaluation tooling. Why Join? • Work on a high-impact ML problem space that blends deep research with real product deployment., • Collaborate with a world-class team of scientists and engineers with prior experience at leading AI labs and tech companies., • Opportunity to publish, attend conferences, and lead impactful research directions early in your career., • Competitive salary, equity, and benefits., • Located in central London with a strong in-person research culture.

Senior Platform Engineer (Linux IaC) London / WFH to £150k Are you a technologist Platform Engineer with experience of working in high availability finance environments? You could be progressing your career in a senior, hands-on Platform Engineer role at a Hedge Fund with complex work and substantial bonus earning potential. As a Senior Platform Engineer you will join a globally distributed team as the first hire in London to expand and build out the technology platform to deliver a best in class environment to power all of the company's workloads within a Linux on-premise environment. This will include provision and configuration of physical and virtual servers, management of the virtual infrastructure on a hypervisor, Linux administration both manual and using automation tools, coding new automation and scripting Infrastructure as Code service configuration and deployment as well as troubleshooting and diagnosing systems at application, operating system and virtual or physical hardware level. Location / WFH: You'll join colleagues in the impressive Central London office with flexibility to work from home twice a week, when you're in the office you can enjoy a range of facilities including onsite catered lunch and gym. About you: • You're a skilled Infrastructure technologist with strong Linux experience, • You have experience in a similar Hedge Fund or finance environment requiring high availability, • You have a good understanding of Infrastructure-as-Code (IaC), • You have experience of building CI/CD pipelines, • You have Containerisation experience; they're using Nomad but Kubernetes or OpenShift experience is fine, • You have automation skills and a deep understanding of computer hardware, networks and network equipment, • You're collaborative and pragmatic, able to push back if necessary What's in it for you: As a Senior Platform Engineer (Linux IaC) you will receive a competitive package: • Salary to £150k, • Bonus, • Pension, • Self development and career progression opportunities Apply now to find out more about this Senior Platform Engineer (Linux IaC) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Platform Engineer – Trading London (3 days/week) | £150k + significant equity The mission Join an early-stage, VC-backed startup building a trading platform for GPU. Users hedge and speculate on spot prices like any financial market, backed by top-tier investors (including Anthropic backers) and founders from MIT, Cambridge, Oxford. The role This is a greenfield platform engineering role with complete ownership over the core architecture. You'll design and build the systems powering real-time trading from the ground up, working directly with exceptional founders on one of the most ambitious infrastructure challenges at the AI/compute-financial markets intersection. Clear path to VP/CTO leadership. What you’ll do • Architect the full platform stack (Python, TypeScript, Golang) handling trading engine, pricing models, hedging mechanisms and marketplace functionality., • Build scalable, low-latency systems for real-time order matching, risk management and market data distribution., • Design resilient infrastructure that can handle massive compute trading volumes with 24/7 reliability., • Integrate with compute providers, exchanges and financial protocols while maintaining strict security and compliance., • Collaborate directly with founders on technical roadmap, hiring strategy and product evolution, with full flexibility to introduce new technologies and paradigms. What you bring • Deep platform/distributed systems experience in high-stakes environments (trading, fintech, infra or high-throughput services)., • Strong proficiency across Python/TypeScript/Golang (or equivalent polyglot stacks) with proven ownership of production-grade systems., • Expertise in real-time systems, performance optimisation, fault tolerance and scalable architectures under uncertainty., • Experience with financial protocols, market data feeds, order matching or compute infrastructure is a strong plus., • Thrives in greenfield environments: making architectural trade-offs, shipping fast, iterating based on live feedback. Why you might care • Early-stage opportunity to define a category-leading platform at the nexus of AI compute economics and financial markets., • £150k base + substantial equity upside with world-class founders and elite VC backing., • London-based, hands-on technical leadership role tackling novel problems with brilliant minds and rapid impact.

Our client is at the cutting-edge of the utilisation of AI for compliance in the financial services sector It has backing from global tier one investors It is looking for a senior commercial leader who has run consultative sales processes and who understands how large organizations by transformation. Someone who can combine strategic insight, advisory, and trusted relationships to help shape how AI enters the enterprise world. This hire will play a key role in building the GTM playbook in the UK, with the opportunity to build a team and scale in other markets. Key Responsibilities ● Partner with the founders to build and execute the GTM playbook, from lead generation to close. ● Leverage your compliance subject matter expertise to run consultative, solution-oriented sales processes with large financial institutions ● Develop and nurture trusted relationships with senior compliance stakeholders, strengthening their credibility in the compliance community ● Design and execute innovative GTM initiatives to drive top-of-funnel growth Experience ● 8-15 years of compliance consulting within financial services or equivalent role combining compliance subject matter expertise and building strong relationships within the space ● Deep understanding of how large financial institutions buy and implement transformation and technological change ● Proven track record of driving deals and long-cycle relationships ● Ambitious and motivated to build and scale something from the ground up Base salary to £125,000 to be augmented by equity and significant bonus element

IoT Sales Consultant – Telecom, Media, Hi-Tech Our client is a global leader in IT services and consulting, renowned for driving digital transformation across the UK and Europe. They partner with leading organisations in the Telecom, Media, and Hi-Tech sectors to deliver cutting-edge IoT, digital engineering, and platform-based solutions. Their mission is to help clients innovate at scale, optimise operations, and build future-ready enterprises through advanced technologies and engineering excellence. About the Role We are seeking an experienced IoT Sales Consultant to join a world-class digital engineering team and lead strategic growth within the Telecom, Media, and Hi-Tech industries. This position plays a pivotal role in driving consulting sales, pre-sales, and solutioning initiatives across digital engineering and IoT services. You will lead client engagements, shape large transformation deals, and collaborate with global delivery and technology partners to create innovative, high-impact solutions. The role requires a blend of commercial acumen, technical depth, and strategic advisory capability — ideal for someone passionate about driving the next generation of connected, intelligent technologies. Key Skills • Proven experience in Consulting Sales, Pre-sales & Solutioning across Telecom, Media, and Hi-Tech sectors, • Strong understanding of Engineering Services for Telco and Media Service Providers, including GIS & Network Engineering, Hi-Tech & CPE Product Engineering, Manufacturing and Testing, IIoT, and Software Engineering, • Deep domain expertise across IoT, Digital Engineering, and Software Platforms, • Demonstrated success engaging at CXO and Director level within complex organisations, • Ability to develop strategic growth plans and deliver measurable revenue outcomes, • Collaborative mindset with experience in matrixed, global delivery environments Key Responsibilities • Lead consulting sales and pre-sales initiatives across Telco, Media, and Hi-Tech clients, • Identify, shape, and close large-scale digital engineering and IoT transformation deals, • Develop tailored, cross-functional solutions in partnership with global practices and delivery teams, • Build and manage long-term relationships with C-level stakeholders, • Collaborate with technology vendors and hyperscalers to design integrated propositions, • Drive strategic account growth through cross-sell and up-sell opportunities, • Represent the organisation in thought leadership forums, client briefings, and partner events Salary: £100,000 - £120,000 + Benefits + Bonus Location: London, UK (other locations considered) Working Model: Hybrid Apply now or share your CV – interviews are taking place immediately!

About the Firm: A leading alternative investment manager specialising in thematic strategies across global markets. The firm is known for its innovative approach and strong track record in delivering value to institutional investors. Role Overview: We are seeking a mid-seniority sales professional to join our growing team. This individual will work closely with the Head of Sales to expand the firm's investor base across the Middle East and Asia, focusing on raising assets from institutional clients, family offices, and other sophisticated investors. Key Responsibilities: • Drive asset-raising efforts across target regions, building and maintaining relationships with institutional investors and family offices., • Support the Head of Sales in executing the firm's distribution strategy., • Develop a deep understanding of the firm's investment strategies and communicate them effectively to prospective clients., • Coordinate with internal teams to ensure seamless onboarding and client servicing., • Experience: 5-10 years in asset raising, investor relations, or institutional sales within alternative investments (hedge funds, private markets, or similar)., • Network: Strong existing relationships with allocators in the Middle East and Asia., • Skills: Excellent communication, negotiation, and relationship management skills., • Attributes: Self-starter, highly motivated, and comfortable working in a lean, entrepreneurial environment., • Languages: Fluency in English; additional regional languages a plus.

Cloud Engineer (London, Hybrid) We're a VC backed business working on behavioral AI solutions for the retail industry, currently operating in stealth mode. We operate in a zero-legacy environment with a mandate to build a cutting-edge platform for our customers. Role: We’re looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions. Essential Qualifications: • Strong experience designing, building, and supporting infrastructure in cloud environments., • Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices., • Solid experience with container orchestration systems and how to manage workloads at scale., • Proficient with Infrastructure as Code tools and practices., • Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort., • Knowledgeable about observability tools & best practices., • Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: • Experience with multi-cloud and/or hybrid deployments., • Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar), • Experience optimizing cloud costs/spend., • Experience setting up SRE, self-service, and incident-management processes.

Senior Platform Engineer (Golang) – Contract Inside IR35/ London Hybrid We’re seeking a hands-on Senior Platform Engineer (Golang) to join our client and work on an exciting greenfield project. You’ll play a key role in building and automating a next-generation infrastructure platform — combining deep platform engineering expertise with strong Golang development skills. This role spans the full platform lifecycle, from infrastructure design and automation to workflow development, integration, and operational enablement. You’ll work in a fast-paced, highly automated environment, collaborating with cross-functional teams while maintaining a high degree of technical ownership. Key Responsibilities • Design, build, and operate automated platform infrastructure using Terraform, Ansible, and other IaC tools., • Develop and maintain Golang-based automation workflows for infrastructure and orchestration., • Write production-grade, testable Go code for tooling and integrations., • Implement and enhance CI/CD pipelines to accelerate platform delivery., • Troubleshoot and optimize workflows across hardware, networking, and orchestration layers., • Drive improvements in reliability, scalability, and performance of platform services., • Proven experience as a Platform Engineer, DevOps Engineer, or SRE in Linux-based environments., • Expert-level, hands-on Golang experience (this is a must-have)., • Strong background in Infrastructure as Code (Terraform, Ansible) and automation tooling., • Deep understanding of APIs, concurrency, and distributed systems., • Experience building automated provisioning workflows and CI/CD pipelines., • Familiarity with OpenStack Ironic SDK or bare-metal provisioning workflows., • Exposure to Vault, GitLab CI/CD, and workflow orchestration tools (Temporal or Cadence)., • Experience with containerization (Docker/Podman) and Kubernetes., • Understanding of monitoring, alerting, and operational enablement best practices.

Senior Data Engineer | Microsoft Fabric🧵 | £70,000 - £75,000 We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting-edge Microsoft technologies. As part of their continued growth, they’re now seeking a Senior Data Engineer to take a pivotal role in delivering enterprise-grade data solutions, with a strong focus on Microsoft Fabric and the wider Azure ecosystem. What you’ll do: • Lead the design and implementation of data platforms powered by Microsoft Fabric, • Guide delivery teams through complex builds across cloud-native architectures, • Bridge the gap between hands-on engineering and technical strategy, • Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions What you bring: • Deep experience with Microsoft Azure, particularly around data services, • Proven track record delivering with tools such as Fabric, Databricks or Snowflake, • Proficiency in SQL, Python, and modern data engineering patterns, • Leadership experience within engineering or delivery teams, • A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic team sessions in London Why consider this? 💰Salary: £70,000-£75,000 ⭐Bonus up to 10% 🚀Be part of one of the first waves delivering at scale on Microsoft Fabric 🤝Work in a culture that values learning, innovation, and trust 📈Access to advanced training, cloud certifications, and fast-paced career progression

A Tier 1 multi-strategy fund are seeking a senior, skilled platform engineer to join the business and lead the expansion / build out of their technology platform to deliver a best-in-class environment which will power the companies workloads. This is a highly technical, engineering-driven environment where infrastructure is seen as a strategic advantage. You will work alongside exceptional technologists to design, automate and operate the systems that power a multi-strategy trading platform. If you are passionate about infrastructure, automation, and solving complex engineering problems end-to-end, this is an opportunity to make a significant impact. • Provision and configure physical + virtual servers (including occasional data centre work)., • Manage and troubleshoot hypervisors and virtualisation stacks., • Administer Debian-based Linux systems using automation—and manually when necessary., • Review and maintain hardware configuration records through automated tooling., • Build new automation and tooling for systems administration., • Use Infra-as-Code to configure and deploy services (load balancers, HA systems, databases, middleware, queues, container orchestrators, etc.)., • Troubleshoot across application, OS, virtualisation, and hardware layers., • Work with networks at a basic troubleshooting/diagnostics level., • Configure monitoring and alerting (Prometheus ecosystem). Requirements: • Strong experience with Infrastructure-as-Code., • Proficiency with automation tools., • Hands-on Linux (Debian-based) systems administration., • Production experience in containerised environments., • Understanding of high availability patterns., • Experience working with CI/CD pipelines., • Bonus: deep hardware knowledge, networking fundamentals, familiarity with network equipment, strong automation mindset.

Role Overview Title: Senior Solution Architect (Cloud & Data Platforms) Programme: Multi-year Data & Analytics Transformation Client Environment: Global investment management Contract: 6 months, with extensions over multi-year programme. Outside IR35 Pay rate: £800+ per day, to be discussed This position is Remote working, with some likely occasional trips to site for critical meetings / workshops etc. This role is a hands-on senior Solution Architect acting as the technical and design authority for a modern cloud-based data platform, with Databricks at the core. The architect bridges investment business needs, data engineering, and platform architecture, setting standards others must follow. Key Responsibilities Architecture & Design Authority • Define and own end-to-end solution architecture across:, • Establish design patterns, reference architectures, and templates, • Ensure architectural consistency across multiple squads and pods Hands-On Technical Leadership • Build proofs of concept (POCs) when required, • Get hands-on with code and configuration to unblock teams, • Review and assure quality of engineering outputs Cloud & Platform Architecture • Own architecture decisions on AWS, including:, • Networking (VPCs), • Security, • Performance and scalability, • Reliability and cost considerations, • Ensure solutions align with SDLC, security, compliance, and audit requirements Business & Stakeholder Engagement • Translate investment business requirements into technical solutions, • Challenge both business and technology assumptions where needed, • Act as the front-facing technical representative to:, • Security architects, • Infrastructure teams, • Compliance and audit, • Senior technology leadership Governance & Delivery Enablement • Produce high-quality architectural artefacts:, • Architecture diagrams, • Design decisions and trade-offs, • Non-functional requirements, • Ensure solutions meet risk management and regulatory expectations Required Domain Knowledge (Must-Have) Candidates must have experience in investment or financial services environments Technical Requirements Core Stack (Strong Preference) • Databricks (Lakehouse architecture, design patterns), • AWS (deep understanding of cloud-native architecture), • Strong backend / platform engineering heritage, • Comfortable designing and reviewing:, • Data pipelines, • Cloud-native services, • Scalable distributed systems, • Senior Solution Architect (typically 10+ years experience), • Proven experience owning architecture for enterprise-scale platforms, • Has led architecture through full delivery lifecycles, • Strong engineering-first mindset, • Pragmatic and conservative in technology choices, • Confident challenging "latest and greatest" trends About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at

Strat-Bridge is partnered with a Global Strategy Consultancy seeking their next Partner (Equity) hire within the Energy sector. With consistent above-market growth in the past 10 years, this consultancy is expanding its partnership across Europe and deepening its leadership in Energy Transition and Utilities. Why this firm • Entrepreneurial culture with global reach, • Collaborative, diverse, outcome-focused partnership, • True strategy-first model with proven IP and frameworks, • Outstanding equity and bonus structure What they’re looking for • Proven business builder with a strong client network, • 10+ years in top-tier strategy consulting with leadership exposure, • Deep expertise in Energy Transition, Renewables, Decarbonisation, or Transmission, • Strength in Strategy, Growth, Innovation, Transformation, or Digital, • Team lift capability is highly valued – the ability to bring or grow with colleagues is a significant advantage Discreet enquiries welcome Contact to discuss this opportunity in confidence.

Do you want to build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/FinTech startup is building a predictive intelligence platform for financial institutions. Their system connects external market events, client risks and revenue opportunities through real-time agentic AI. Backed by senior ex-consulting and enterprise technology leaders, they’ve already built a functioning MVP and are now hiring their first in-house Lead AI Engineer to take ownership of the core intelligence layer. You’ll work directly with the CTO, shaping the architecture, roadmap and long-term AI strategy. This role suits a builder who wants ownership, deep technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from corporate and investment banking, helping turn market foresight into actionable intelligence. Key responsibilities • Design and deploy RAG pipelines, agentic workflows and LLM-based intelligence modules, • Build Python-based AI components, APIs and microservices, • Own evaluation frameworks, observability, guardrails and model governance, • Integrate AI systems into production environments and enterprise workflows, • Work closely with the CTO and guide junior/external engineers, • Translate financial-services use cases into practical AI features Key details • Working model: Hybrid (3 days/week, Central London), • Tech: Python, LLMs, RAG, agentic systems, vector stores, cloud, • Visa: Cannot sponsor Interested? Please apply below.

Title: C# Developer Rate: Up to £750/day Location: London (Hybrid) The Opportunity: I am working with a leading global investment bank seeking a C# Developer to join their high-performing FO Trading team. This is an exceptional opportunity to work alongside experienced technologists and investment professionals building mission-critical systems that drive trading, research, and risk management operations. What You Bring (Required): • Deep commercial experience engineering C# / .NET solutions within mission-critical financial services platforms, • Hands-on delivery of enterprise risk platforms (Market, Credit, Counterparty Risk, XVA) with solid understanding of rates, FX, equities, and derivatives, • Experience with distributed and message-driven architectures, including ActiveMQ, plus full-stack exposure with Angular, • High engineering standards, applying SOLID principles, proven design patterns, CI/CD, and building maintainable, cloud-ready services (OpenShift desirable), • Demonstrated ability to partner effectively with quantitative researchers, risk teams, and front-office stakeholders to deliver production-grade solutions Who You Are: • You thrive in fast-paced investment banking environments, • Designs and owns mission-critical systems where performance and correctness matter, • Makes strong architectural decisions under delivery pressure, • Trusted technical partner to front office, risk, and quants Apply now or reach out directly: for more details

RAN Technical SME (Design & Planning) London or Reading (hybrid, 2-3 days per week) £80,000 - £100,000 per annum We’re partnering with a major UK telecommunications provider on a flagship Agentic AI transformation programme. This long-term initiative is focused on transforming how national telecoms infrastructure is designed, configured and operated, moving from manual workflows to Autonomous AI-driven networks. The Opportunity As a RAN Technical SME (Design & Planning), you’ll move beyond day-to-day network operations and help design the “Brain” of the future Radio Access Network. Working closely with AI Architects and Software Engineers, you’ll translate complex RAN design and planning logic into rules that enable Autonomous AI Agents to design, configure and optimise networks with minimal human intervention. What You’ll Be Doing • Defining automated HLD and LLD engineering rules so AI can select the correct baseband, radio units and parameters for new builds and upgrades, • Codifying frequency planning, PCI/scrambling code allocation and neighbour planning logic for autonomous execution, • Providing deep technical input into NMS and OSS integrations, including APIs, CLI commands and configuration files, • Working with Data Engineers to identify “Golden Counters”, KPIs and PM/FM data, enabling AI-driven validation against 3GPP standards, • Defining gold-standard NodeB / gNodeB configurations, templates and baselines enforced by the automation platform, • Acting as the final quality gate for AI-generated designs, validating build sheets and scripts before live network deployment What We’re Looking For • Expert-level knowledge of 4G (LTE) and 5G (NR) RAN architecture, 3GPP standards and signalling flows, • Strong background in RAN planning and design (HLD/LLD), including link budgets, capacity planning and site constraints, • Experience with industry-standard planning tools such as Asset, Atoll or Planet, • Hands-on experience with configuration management, CM tools and CLI scripting at scale, • Deep understanding of radio parameter planning, optimisation and mobility management, • Ability to document complex RAN logic clearly for software engineers and business analysts

Senior Data Engineer Job Title: Senior Data Engineer Salary Range: £80,000–£100,000 Location / Working model: London | Hybrid This is a critical technical position within a high-growth, forward-thinking organization that specializes in digital innovation. We require an experienced Senior Data Engineer to design, build, and maintain a robust, scalable, and high-performance system that is fundamental to the organization's operational and analytical success. Core Responsibilities The successful candidate will own the technical development and strategic execution of the core data platform, ensuring high quality, performance, and security: • System Architecture & Development: Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines and core infrastructure components within the cloud environment., • Data Integration: Ensure seamless, low-latency data flow by integrating and unifying diverse data sources across the organization., • Data Modeling & Quality: Build and optimize robust data models specifically for complex querying and analytical use cases, and ensure data quality, integrity, and security across all systems., • Reliability & Monitoring: Construct highly available, fault-tolerant systems for high-volume data ingestion and processing, implementing effective monitoring, logging, and alerting mechanisms., • Performance Optimization: Continuously monitor, tune, and optimize pipeline scalability and performance to meet stringent throughput and latency standards., • Cross-Functional Alignment: Partner directly with technical and business teams to ensure the data infrastructure directly supports strategic objectives. Required Technical Expertise This role demands a deep, production-level background. Candidates must demonstrate proficiency in the following essential areas: • Production Experience: Extensive hands-on experience in Data Engineering, specifically a proven track record of successfully architecting, building, and managing production-grade real-time data pipelines across multiple large-scale initiatives., • Cloud Platform Specialization: Mandatory deep, practical experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services. (While AWS knowledge is valuable, GCP expertise is primary.), • Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms., • Programming & Scripting: Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability., • Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles., • Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast-paced environment. Exceptional written and verbal communication skills in English are required for effective technical leadership and documentation.

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: • Lead the design, training, and optimisation of ML models for speech separation and noise reduction., • Provide technical leadership and mentorship to a small, high-performing engineering team., • Bridge research and production — ensuring scalable, low-latency model deployment., • Collaborate cross-functionally with software and product teams to integrate ML systems into live products., • Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: • MSc or PhD in Computer Science, Machine Learning, or Signal Processing., • Proven experience in leading or mentoring ML/AI engineering teams., • Deep understanding of digital signal processing and speech/audio modelling., • Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks., • Track record of delivering production-grade ML systems with measurable performance improvements., • Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

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.

Head of Technical Services – Hard FM / Engineering Leadership Location: East London Salary: £80,000 Budget Responsibility: £8m Reports to: Technical & Support Services Director Team: Up to 6 direct reports, 30 indirect reports We’re looking for an exceptional Head of Technical Services to take strategic and operational leadership of Hard FM services across a major East London portfolio. This is a senior management position with full P&L accountability, responsibility for statutory compliance, and ownership of technical service delivery across a broad and complex estate. If you’re a commercially astute technical leader with deep engineering knowledge, a passion for safe and compliant delivery, and experience shaping high-performing FM operations, this is a rare opportunity to drive strategy, influence transformation, and lead a large multidisciplinary team. The Opportunity As Head of Technical Services, you will: • Lead the regional Hard FM operation, managing up to £8m in annual technical budgets., • Shape and implement the compliance and engineering strategy across building services, fabric, and associated FM technical functions., • Ensure all statutory, mandatory, and contractual requirements are met, including CDM, SFG20, HTMs, British Standards, and asset handback criteria., • Build strong working partnerships with Compliance, H&S, Lifecycle, PMO, Commercial, Procurement, and Operational Leads., • Be a senior voice in client relationships, ensuring SLAs and KPIs are consistently met across all contracts., • Drive improvements in process, safety, service quality, and technical governance across a large and diverse portfolio. Key Responsibilities • Lead on Health & Safety, promoting a zero-tolerance-to-harm culture., • Maintain legal and contractual compliance across all Hard FM operations., • Develop and implement policies, procedures, and technical standards in line with legislation and organisational strategy., • Collaborate with Hard Services Managers to ensure safe and compliant engineering delivery., • Build strong client relationships and represent G4S at senior meetings., • Own and manage Hard FM P&L performance, ensuring efficient, value-driven service delivery., • Manage subcontractor performance, including monthly performance management with key suppliers., • Support operational teams by providing expert technical guidance on major issues., • Lead on compliance for Fire, Water, and Asbestos—including timely remedial actions., • Actively contribute to business development and evaluation of new opportunities or variations., • Oversee asset register accuracy, CAFM data, and evidence-based decision-making., • Support Lifecycle planning through detailed analysis of reactive and remedial tasks., • Track innovation, new technology, and product developments for potential adoption., • Recruit, develop, and manage Hard Services Managers and technical teams., • Ensure teams maintain required competencies and manage all people-related matters. Key Competencies • Strategic thinker, • Legislative & mandatory compliance expertise, • Strong commercial and financial acumen, • Influential leader and change driver, • Skilled stakeholder and relationship builder, • Customer-focused and delivery-oriented, • Able to manage complexity and embed continuous improvement Skills & Experience Essential • Senior operational management experience in Hard FM or technical services., • Strong knowledge of CDM, SFG20, HTMs, and relevant British Standards., • IOSH or equivalent H&S qualification; CIWFM or working towards it., • Experience managing lifecycle, PMO, and building defects., • Highly organised with strong analytical and auditing capability., • Strong communication skills and proven ability to influence at senior level., • Commercially astute with experience delivering cost-effective, safe, compliant services., • Experience in PFI/PPP environments., • Experience in public buildings such as schools or hospitals., • Experience managing aged or complex estates. Why This Role? • Senior leadership position with large budget ownership., • High visibility across the business and with major clients., • Significant scope to shape engineering strategy and performance., • Opportunity to lead meaningful improvements across safety, compliance, and service quality., • Ideal for someone seeking a high-impact technical leadership challenge.

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition.

We’re partnering exclusively with one of London’s most prestigious trading powerhouses to hire a standout Front-End Software Engineer — someone who lives and breathes elegant UI engineering and wants to build products that matter at millisecond scale. This is your chance to work at the core of high-performance trading tech, crafting ultra-fast, hyper-polished interfaces used by some of the sharpest and most demanding minds in global finance. What You’ll Be Doing • Building lightning-fast, data-intensive UIs using React and TypeScript, • Partnering with back-end engineers, traders, and product leads to shape next-generation trading tools, • Designing and evolving front-end architectures for real-time data and complex visualisations, • Working in an environment where craftsmanship, performance, and code quality are taken seriously — every single day Tech Stack • Languages: TypeScript, JavaScript (ES6+), • Frameworks: React, Redux (or similar state management), • Tooling: Webpack, Babel, Jest, ESLint, Git, • Bonus: WebSockets, performance profiling, custom charting (D3.js, Highcharts) What They’re Looking For • Deep expertise with React and modern TypeScript/JavaScript, • Strong architectural thinking, performance tuning skills, and component design mastery, • Experience in fast-paced, high-impact environments (trading, gaming, or top-tier tech), • A passion for building clean, scalable, beautifully engineered UI systems Why Join? • Build mission-critical tools that influence real-time trading decisions, • Work shoulder-to-shoulder with brilliant engineers and front-office teams, • Enjoy a flat, engineering-led culture with rapid iteration and true ownership, • Gain access to cutting-edge tooling, full autonomy — and compensation that reflects elite performance Compensation: £120k–£180k base + exceptional bonuses