Production engineer jobs in United Kingdom

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. As a Senior Software Engineer you will play an important role in supporting key strategic initiatives for our Advanced Analytics and Digital Products business component. Designing and developing technical solutions you will work in close collaboration with our Product and Governance teams, testing out new ideas and helping bring them to market. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader. Schedule: Full-time position with standard working hours of Monday – Friday, standard business hours Primary Responsibilities: • Work as a Full Stack Engineer to design, code, build and test software solutions in DevOps scrum environment, • Lead team efforts to achieve timely resolution to all production issues, • Apply design patterns to best practices to software development, • Rapid prototyping within an Agile methodology, • Contributing to the applications’ technology stack and driving progressive solutions to complex problems, • Working with technical and strategic product to create world class products, • Implementing complex code based on guidance provided by lead engineer on initiative(s) Required Qualifications: • Experience with .NET, • Experience developing/operating with a commercial cloud environment, preferably MS Azure, • Experience with Agile, Continuous Integration and Continuous Delivery, • Experience with relational and non-relational database technologies, • Microsoft .NET technology stack experience (C# / .NET, .NET Core, Web APIs), • Development Operations experience including Working knowledge of code management tools such as Git, agile management tools, i.e. Jira/Rally, CI/CD tools such as Jenkins, Azure DevOps, • Automated Testing experience including Unit test development and Integration test development, • Web Programing experience including HTML, CSS, JavaScript, • Degree in computer science, • Experience working in a MHRA regulated environment, • Experience with IAAS/PAAS services; together with delivery of Infrastructure-as-code using Terraform/ARM/ Ansible All telecommuters will be required to adhere to the UnitedHealth Group’s Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2023 Optum Services (Ireland) Limited. All rights reserved. #RPO #BBMEMEA

Senior / Lead Engineer – Fullstack, Node - AI HealthTech £80,000 - £90,000 Hybrid The Mission My client is a VC-backed, early-stage AI HealthTech start-up focused on transforming how clinics operate. Their platform replaces outdated, fragmented healthcare software with an intelligent system that automates key workflows. The aim is to reduce administrative burden and allow clinicians to spend more time on patient care. The Vision They are developing a system that enhances clinician efficiency and supports better decision-making. By consolidating patient records, automating documentation and billing, and providing actionable insights, the platform enables clinics to operate more smoothly and deliver improved outcomes for patients. The Problem They Solve Many healthcare providers still rely on legacy systems that slow processes and require excessive administrative work. Clinicians often spend hours managing paperwork rather than seeing patients. My client’s solution automates the full clinical workflow, integrating patient information across all stages of care to improve efficiency, financial performance, and patient experience. Progress and Momentum • MVP already deployed and actively used in clinical settings, • Secured first major client contract within five months, • Strong pipeline of new clients ready for onboarding, • Supported by one of the world’s largest early-stage venture funds and entering a phase of rapid growth Technology Snapshot TypeScript | Node.js | Google Cloud Platform (GCP) | Svelte | Native iOS The Opportunity My client is seeking a Principal / Lead Engineer to take the existing MVP and evolve it into a robust, scalable platform suitable for wider adoption. This role will have significant influence over system architecture, technical strategy, and engineering practices as the product develops. The role involves close collaboration with AI and product teams to turn innovative ideas into reliable, production-ready solutions, while maintaining high standards of quality and performance. Key Responsibilities • Lead the design and development of secure, scalable systems, • Define the technical roadmap and establish engineering best practice, • Collaborate with AI and product teams to implement intelligent automation in production, • Mentor and guide engineers, fostering a culture of technical excellence, • Take ownership of problems, move quickly, and deliver results Ideal Background • Experience designing or scaling software from MVP to production-ready systems, • Strong full-stack or back-end development experience (TypeScript / Node / GCP preferred), • In-depth understanding of cloud infrastructure and system architecture, • Product-focused mindset, prioritising impact and outcomes over technology for its own sake, • Genuine interest in AI and its application to complex real-world challenges Location London-based, hybrid working model with 2–3 days per week in the Aldgate East office

🚀 Senior DevOps Engineer | AWS | Kubernetes (EKS) 📍City of London | 💼 Permanent | 🏢 Onsite Are you ready to take ownership of a cutting-edge cloud environment and work with some of the smartest engineers in London? We’re looking for a Senior DevOps Engineer to join a high-performing tech team that thrives on solving complex challenges, automating everything, and pushing the limits of what cloud infrastructure can do. You’ll be: ⚙️ Owning and scaling cloud platforms on AWS 📦 Working hands-on with Kubernetes (EKS) in production 🚀 Building and optimising CI/CD pipelines using GitHub Actions 🧱 Driving Infrastructure-as-Code best practices with Terraform 🔒 Embedding security, scalability, and reliability across every layer You’ll bring: ✅ Strong AWS expertise (ECS, EC2, Lambda, VPCs, networking) ✅ Proven Kubernetes (EKS) experience in production ✅ Solid Linux knowledge and Terraform proficiency ✅ A collaborative mindset and passion for clean, automated systems 💡 If you’re after a role that blends technical ownership, innovation, and career growth — this is it. Expect an environment that rewards curiosity, invests in learning, and values people who make an impact. 👉🏼 Ready to make your mark? Apply now to join a place where technology and teamwork drive everything forward.

Senior Product Engineer (Mobile - React Native) | AI SaaS Company | London A well-funded AI SaaS company is hiring for a Senior Product Engineer (Mobile) to take full ownership of its core mobile platform. This company is building an innovative product that delivers real-world insights to a growing global client base and is supported by a world-class engineering team with experience from top-tier tech companies. The Role: In this role, you will lead the development of the central mobile application for a cutting-edge AI platform that provides real-world benefits to global clients. This is a highly autonomous and challenging position where you will be responsible for driving the architecture, performance, and overall quality of the mobile experience as the company scales. You will be a key member of a team solving interesting problems at the intersection of user experience, machine learning, and infrastructure. Key Responsibilities Include: • Platform Ownership: Drive the architecture and development of the core React Native application, ensuring it is scalable and high-performance., • Native Integration: Deep-dive into native components (Kotlin/Swift, with a focus on iOS) to build custom features and optimise performance where required., • Production Lifecycle: Own the entire mobile deployment lifecycle, including managing App Store/Play Store releases and ensuring a smooth delivery process., • Observability: Implement and manage production observability and monitoring tools to ensure application health and performance in the field., • Collaboration: Work closely with the product and backend teams to integrate new features and scale the system to meet rapidly growing user demand. What is being looked for: • Deep experience in React Native, with a proven track record of building and deploying complex, production-ready applications., • Experience working with native modules in either Kotlin (Android) or Swift (iOS), with a preference for iOS expertise., • Demonstrated experience owning the application release process on the App Store or Google Play Store., • Familiarity with tools and practices for monitoring application performance and crashes in a production environment., • A strong technical foundation and a passion for solving challenging, real-world problems. Compensation & Benefits: • Salary: £80,000 - £120,000 per year., • Equity: Significant company equity percentage in an scaling start-up.

QA Engineer (Java) 📲| Fintech Trading 🚀 💰 £70,000 - £80,000 + Bonus + Benefits 📍 Hybrid - 3 days/week in Central London Join a collaborative, engineering-led team ensuring the stability and performance of a high-volume, global electronic trading platform. You’ll write clean, quality Java-based automation code to contribute to an internal Java-based test automation framework, catching issues before they hit production and helping deliver flawless, high-performance user experiences. What You’ll Do • Build and maintain robust Java test automation, • Work on an internal Java-based test automation framework used across all teams handling high-traffic, real-time trades., • Collaborate with developers to improve quality at every stage., • Own QA processes for performance, reliability and user experience. What You Bring • Strong experience with Java automation testing, API & backend testing., • Background in automation testing for complex, high-performance platforms. Shape the quality of software that millions of trades rely on - apply now ✅

Senior Backend Engineer – Build Tech That Powers Global Insights Location: London - Hybrid Salary: Up to £110,000 + benefits We are partnering with a fast-growing tech company that’s transforming how data is collected and used across industries. They’ve built a platform that simplifies complex research workflows, and they’re now looking for a Senior Backend Engineer to lead the charge on scalable, secure, and high-performance systems. This is a hands-on leadership role for someone who thrives in a collaborative, product-driven environment and wants to shape the future of a platform used by global clients. What you’ll do as Senior Software Engineer: • Lead the design and delivery of backend systems using C#, .NET, Azure, and CosmosDB, • Build robust APIs that power integrations across the platform, • Own system health and resilience, solving production issues before they escalate. Drive architectural decisions and set technical standards across the team, • Mentor engineers and champion best practices in DevOps, CI/CD, and security, • Collaborate with product, design, and customer teams to deliver impactful solutions, • Influence hiring and onboarding to help scale a high-performing engineering culture What experience you’ll bring: • 5+ years building complex backend systems, • Deep expertise in C#, .NET, and cloud platforms (Azure preferred), • Experience with microservices, serverless architecture, and secure API development, • Strong DevOps mindset with CI/CD, observability, and automation skills, • Proficiency in SQL and NoSQL (CosmosDB a plus), • Excellent communication and leadership skills If you want to build tech that matters and lead with impact in a company that values innovation, trust, and ownership then this Senior Software Engineer role is your chance to make a real difference. Unfortunately, due to the volume of applications, not all submissions will receive feedback

We’re looking for a Full Stack Engineer who thrives in a fast-paced environment and enjoys solving complex problems across the stack. You’ll play a key role in designing, building, and maintaining high-quality software that directly impacts our users. Tech Stack You’ll Work With: • Back End: Python (FastAPI / Django / Flask — depending on your stack), • Front End: React + TypeScript, • Other Tools: PostgreSQL, Docker, GitHub, CI/CD pipelines (GitHub Actions, etc.) What You'll Do • Build and maintain scalable APIs and backend services in Python, • Develop dynamic, responsive web interfaces using React and TypeScript, • Collaborate with product and design teams to ship new features, • Contribute to architectural decisions and code reviews, • Help improve performance, scalability, and developer experience, • Write tests and documentation to ensure software quality About You • 4+ years of experience in full stack development, • Strong proficiency in Python (and experience with modern frameworks), • Solid experience with React and TypeScript in production applications, • Familiar with REST APIs, web security best practices, and SQL databases, • Passionate about clean code, performance, and great UX, • Comfortable working in an agile, fast-moving team environment, • Strong communicator who thrives in a collaborative culture

Founding Engineer | YC-Backed | London | £80,000 - £120,000 We're working with a YC-backed startup in London that's just closed a multimillion-pound seed round. They're building the AI platform that's transforming high-stakes litigation for top US law firms. Top UK and US law firms use their platform to handle high-stakes litigation faster - automating tasks that used to take lawyers hours, now done in seconds with AI You'll work closely with their technical co-founders with deep domain expertise. Their users are lawyers who trust them with million-pound disputes. Security, accuracy, and speed aren't negotiable. They're hiring their first engineer. A true founding team member who wants to build, ship, and own. What you'll do: Full-stack work across Python backend, Next.js frontend, PostgreSQL, LLMs, and Azure infrastructure. You'll talk directly to customers (major law firms), understand what they need, then build it. You'll own features end-to-end. The work: document processing pipelines at scale. Multi-step AI agents handling complex legal workflows. Search systems that work across massive case files. UX designed for how lawyers actually work. There are plenty of feature requests from top-tier firms. You'll help decide what to build and ship it fast. This is for you if: • You're a builder with high urgency who ships fast and iterates, • You're comfortable owning problems from customer conversation to production deploy, • You can work full-stack (Python + Node.js) but probably lean backend-heavy, • You're excited about AI and tackling hard, real-world problems, • You have strong product judgment and love working directly with users, • Bonus: you've shipped LLM features to production Why join: Legal is about to be transformed by AI. You'll be at the heart of it as a founding engineer at a well-funded, fast-moving startup working with household-name law firms. Real ownership. Meaningful equity. The chance to shape the product, engineering culture, and hire the team around you. Details: 📍 London (3-4 days/week in office near Bank) 💰 £80-120K + equity 🚀 Backing: Y Combinator + top-tier investors Interested? Get in touch - I'd love to tell you more and make an intro.

Front Office Python Developer – Trading Systems Orbis are proudly working with a global Trading firm who are redefining how data and technology shape the future of their market, and are fully embracing GenAI across the enterprise. They are looking for a Front Office Software Engineer with excellent Python experience to be at the forefront of this evolution. As a Front Office Python Software Engineer, this is an incredible opportunity to work side-by-side with Traders, building high-performance systems and innovative tools contributing to PnL, by helping Traders understand markets, forecast movements, and act with confidence. In this role, you will be responsible for: • Partnering directly with Traders to design, build, and own production Trading systems developed in Python, • Designing and developing solutions to analyse market data, manage trading positions, and support the models that drive front-office decision-making, • Designing cloud-native tools integrating with the Front Office platforms to provide enhances analytics and tooling for Traders and Front Office teams To be a successful applicant, you will need: • Extensive experience of Software Engineering using Python (Pandas, Numpy, FastAPI) to a high standard, building highly performant systems and platforms used by Traders, • Experience working in a Hedge Fund, Trading firm, or similar working directly with front-office stakeholders (e.g. Traders, Portfolio Managers), • Strong experience with Containerisation technologies (e.g. Kubernetes or Docker) If you feel your experience is a match with the above, please reply with an up to date CV in the first instance.

Senior Full Stack (Backend) Engineer | Build Scalable Systems at Speed We’re looking for a Senior Full Stack (Backend) Engineer who loves solving complex problems and building elegant, scalable systems that power real-world products. You’ll have the freedom to make architectural decisions, improve developer experience, and shape the backbone of our platform. What You’ll Do • Design and build robust, production-grade backend systems, • Architect scalable infrastructure for job processing, analytics, and event tracking, • Develop and maintain APIs and backend services, • Build internal tooling for authentication, rate limiting, and quota management, • Collaborate cross-functionally with product, design, and customer experience teams, • Optimize systems for performance, scalability, and security, • Write clean, maintainable, and efficient code, • Languages: Python, TypeScript, • Infrastructure: AWS (ECS, SQS, Parameter Store), Docker, GitHub Actions, • Data: Postgres, Redis, • Monitoring: LogFire, Sentry, • 4+ years of experience building backend systems in production environments, • Strong knowledge of database design, API architecture, and cloud infrastructure, • Hands-on experience with high-throughput systems and background job queues, • Passionate about clean code, strong abstractions, and great developer experience, • Comfortable taking ownership across the stack—from code to monitoring and deployment

Platform Engineer – Quantitative Crypto Trading Firm | London | Sponsorship and relocation support available Join a leading quantitative crypto trading firm building globally distributed, ultra-low-latency systems that power their research and execution platform. You’ll work at the intersection of infrastructure, software, and performance engineering - solving deep technical problems at scale. What you’ll do: • Own and optimise infrastructure behind a 24/7 web data and trading platform spanning multiple clouds and regions., • Tune Linux network stacks, automate infrastructure, and reduce latency across the pipeline., • Partner closely with developers and infra teams to improve architecture, reliability, and performance., • Drive adoption of modern tooling (Python, Bash, Terraform, Kubernetes, Prometheus, etc.) while staying hands-on. What we’re looking for: • Proven experience managing production systems in a global cloud environment, ideally across multi-region or multi-cloud setups., • Hands-on experience configuring and managing proxy servers in complex, distributed environments, • Skilled in Python/Bash and comfortable debugging distributed systems., • Experience in high-throughput, low-latency, or large-scale environments (finance, trading, or scraping preferred). If you’re an engineer who loves optimisation, systems performance, and solving real production challenges - please apply.

Founding Product Engineer | Early-stage AI startup (hire #5) 💰 Up to £130,000 + meaningful early-stage equity % 🏢 Building together 4 days a week onsite in London bloom are working with a Seed stage AI startup on a mission to reinvent one of the world’s most painfully manual workflows, the kind of industry where automation is still in its infancy. Backed by top-tier European investors and founders from fintech and SaaS unicorns, they’ve already built something special, demand is outpacing capacity, and customers are lining up to get onboard, and all without a dedicated sales/GTM team. 📈 2000+ businesses using the product 💰 Double-digit % revenue growth every month You’ll be joining as hire #5, just before they expand their go-to-market team - the perfect time to shape the product, culture, and engineering direction from the ground up with a product that is already loved by many. The role You’ll work directly with the founders and a small close knit Engineering team to: • Design and build core systems end-to-end, • Ship fast and see your work used by real customers immediately, • Help define the technical architecture and product roadmap, • Experiment with AI-driven automation and large-language-model workflows Tech: TypeScript, React, Node, GraphQL, AWS, Temporal, LangChain (They're open to Engineers from any language background, as long as you're happy in this tech environment). You’ll be a great match for this team if: • You’re product-minded and love solving messy, complex problems, • You thrive in small teams where ideas move from whiteboard → production in hours, • You want to build something meaningful, not just maintain legacy code, with a love for building 0-1 products. 📍 London (4 days a week building together onsite) 💰 Up to £130,000 + meaningful early-stage equity % If you want to join a team that’s using AI to quietly transform an industry that touches millions, get in touch: 📧

Founding Site Reliability Engineer | Stealth Fintech | London | Up to £200k + Equity | London (Min 4 days per week in office) 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 Founding Site Reliability Engineer to drive the infrastructure behind mission-critical systems: think active-active, five-nines uptime, and real-time observability at global scale. What You'll Do: • Own platform architecture for our next-gen ledger infrastructure, • Scale multi-region Kubernetes environments across cloud & on-prem, • Harden distributed systems (Kafka, Redis, CockroachDB) for global banking workloads, • Lead our AI-powered SRE approach: observability, remediation, and auto-response, • Enforce zero-trust, multi-tenant security and compliance (SOC2, ISO 27001), • Define IaC foundations (Terraform, GitOps, Helm) What We're Looking For: • Expert with Kubernetes and Distributed Systems, • Experience building production infrastructure at scale (multi-region, high-availability), • Extensive experience building both on-Prem & Cloud infrastructure at scale from scratch., • Strong SRE mindset: SLOs, SLIs, incident response, • AI-curious or AI-native: excited to build agent-powered ops, • Someone who is currently hands on (not someone primarily focused on strategy & people management), • Passion for open-source, clean architecture, • Software Development experience (Bonus points for Go(Golang)), • Bonus: background in financial systems, core banking, or regulated infra 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. If your skillset matches, apply within. 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.

Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform 💰 £120,000 - £130,000 📍 London - 4 days a week in office (Paddington) 🛠️ Python, GCP, Kubernetes, Terraform, CI/CD, AI / LLM interest Here at Burns Sheehan, we’re working with a leading UK tech business in the payments and financial services space - processing billions in transactions each year and supporting around 20% of all UK card payments. They’re continuing to invest heavily in their engineering function and are now expanding a dedicated AI team that’s quickly becoming a key part of their technology strategy. They’re hiring experienced Software / Platform Engineers to help build and scale their internal AI Platform - the infrastructure, tooling, and developer experience layer that enables teams across the business to develop and deploy AI-driven products. What You’ll Be Doing: • Designing and building the core AI platform that supports LLMs, agents, and other AI systems., • Developing APIs, SDKs, and orchestration tooling that help product / data teams consume AI capabilities at scale., • Automating infrastructure / model deployments using Kubernetes, Terraform, and CI/CD pipelines., • Building and managing vector databases and retrieval systems to support RAG pipelines., • Working with LLM frameworks like LangChain, LangGraph, CrewAI, or similar tools., • Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: • Strong background in Software or Platform Engineering - ideally with Python, Java or Go., • Experience with Kubernetes, Terraform, and cloud environments (GCP preferred)., • Understanding of microservices, distributed systems, and cloud-native architecture., • Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement., • A collaborative engineer who enjoys problem-solving and contributing to technical direction. If you’re interested in helping build real AI infrastructure within a fast-moving, product-led business that’s making a visible impact across the UK - get in touch to find out more. Senior Software / Platform Engineer (LLM / AI Interest) | Brand new AI Platform

Role: Senior Cloud Security Engineer (Kubernetes) Location: 100% Remote (UK, Germany, Netherlands, Portugal, Spain) Compensation: Very attractive base + bonus! ___awrence Harvey are partnered with a market-leading payment technology organization; easily one of the most innovative FinTech firms on the market currently that are truly revolutionizing the way that money moves by utilizing next-generation, multi-cloud infrastructure. You'll be working within a Cloud-Native Payments Platform that is built for speed, scale and resilience, experimenting with one of the most exciting tech stacks globally; whilst working in an environment that has bank-grade security and reliability. Some of the things you'll do: • Build and maintain defensive security controls across multi-cloud payment environments., • Continuously strengthen infrastructure and application security through monitoring, hardening, and automation., • Identify and mitigate emerging threats, vulnerabilities, and attack paths., • Partner with engineers to embed security-by-design and recommend practical protections., • Manage and optimize security controls for performance, readiness, and effectiveness., • Maintain security baselines, playbooks, and detections for consistent defense. The ideal candidate will have: • Deep hands-on Kubernetes expertise, used daily in production environments., • Strong Linux engineering and troubleshooting skills, applied in day-to-day operations., • Proven cloud platform experience with AWS, Azure, or GCP (multi-cloud exposure ideal)., • Solid background in security engineering, design, and architecture for complex systems., • Excellent communication and collaboration skills across technical and non-technical teams. Desirable: • If you have worked in a scale-up AND established financial services/FinTech environment, • A background OR interest in Offensive Security, Red Teaming, CTF Certifications (advantageous) • Certified Kubernetes Administrator (CKA), • Certified Kubernetes Application Developer (CKAD), • Certified Kubernetes Security Specialist (CKS), • Linux Foundation Certified Engineer (LFCE), • Linux Foundation Certified System Administrator (LFCS), • Red Hat Certified Engineer (RHCE) If you want to work alongside world-class engineers within Security, Cloud, Platform and Software - you'll love working here! Please apply using the link or directly email me on PLEASE NOTE: • No VISA sponsorship is on offer in any of the stated locations, you must have right to work, • You MUST be based in either the United Kingdom, Germany, Netherlands, Portugal or Spain, • Kubernetes and Linux experience is imperative

Senior C++ Software Engineer Salary: £100,000 – £135,000 Key Responsibilities • Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems., • Build low-latency interfaces between hardware and classical compute systems., • Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics., • Develop and maintain firmware and drivers for custom hardware platforms., • Analyze and optimize system performance including latency, throughput, and resource utilization., • Participate in system architecture design and technical decision-making., • Conduct code reviews, mentor junior engineers, and promote software best practices., • Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems., • Ensure system reliability, fault tolerance, and performance in data centre environments. Required Qualifications • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Physics, or a related field., • 5+ years of professional experience in software development, with a focus on C++ and/or Rust., • Strong understanding of FPGA architectures, toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages (VHDL/Verilog)., • Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Forward Deployed Engineer - Early-Stage AI Start-Up - London Forward Deployed Engineer required for well backed, fast paced, early-stage AI start-up in London to build and deliver systems for customers that provide value from day one. You won’t just write code, you’ll work directly with users, influence product direction, and shape the culture of a fast-moving AI company from the earliest days. You are an exceptional, language agnostic engineer with strong communication skills who thrives in customer-facing environments. About you: • 1-5 years of Software Development in Python, Go, TypeScript, Java, Rust or C++, • Comfortable working across the stack, • Exceptional communication skills, • Customer-obsessed: you enjoy being in the room, asking questions, and solving real-world problems, • Excel where speed and ownership matter, • In office by default You will: • Collaborate directly with customer stakeholders, from engineers to executives, • Build and maintain systems that power mission-critical workflows and enable fast, reliable onboarding, • Deliver accurate analytics and actionable insights to customers and internal teams, • Drive continuous platform improvements based on real customer feedback Why Join? • Opportunity to join something huge from the early days and have a real impact, • Massive ownership: influence product, culture, and technical architecture, • Direct access to customers, your work will hit production fast, • Competitive salary and meaningful equity in a rapidly growing company If you want to build real AI systems that deliver immediate impact, lets chat. Forward Deployed Engineer - Early-Stage AI Start-Up - London

Senior Applied AI Solutions Engineer Hybrid London (3 days per week) Up to £135,000 + EMI Share Options + Benefits Are you passionate about building real-world AI applications that deliver measurable business impact? We’re working with a fast-growing applied AI consultancy, backed by alliances with OpenAI, NVIDIA, and other global leaders, and they’re seeking a Senior Applied AI Solutions Engineer to join their growing London-based team. 💡 Why this role? • Build and deploy enterprise-grade AI solutions used by some of the world’s largest organisations., • Work hands-on with large language models (LLMs), microservices, and distributed systems., • Hybrid working: 3 days a week in London, with flexibility the rest of the time., • Salary up to £135,000 plus equity through EMIs — be part of the company’s success story., • Join a mission-driven business with a bold goal: making the 3-day working week a reality. 👩 💻 What you’ll be doing: • Designing, building, and deploying AI-powered applications, including intelligent agents built around LLMs., • Owning solutions end-to-end: from scoping and design to coding, testing, and deployment., • Leading small project teams, providing technical direction and mentorship., • Reviewing code and setting high standards of technical excellence across multiple projects., • Working directly with senior clients, explaining complex AI concepts and demonstrating solutions., • Contributing to R&D efforts and reusable code assets, advancing the company’s AI capabilities., • Staying at the forefront of AI innovation, applying new techniques to real-world problems. 🎯 What we’re looking for: • 5+ years’ experience in software engineering, with hands-on delivery of production-grade solutions., • Strong expertise in Python, data processing, and microservices., • Experience with large-scale distributed systems and LLM applications., • A blend of hands-on engineering and leadership skills — able to both build and guide., • Excellent communicator with the ability to engage both technical and non-technical audiences., • A collaborative, innovative mindset with a passion for applied AI. 💰 Package & Benefits: • Salary up to £135,000., • EMI share options — benefit directly from the company’s growth., • 25 days holiday + bank holidays., • Aviva private medical insurance., • Medicash wellness plan., • Life policy and Employee Assistance Programme., • Pension scheme and access to a discounts platform., • Career coach and professional development support.

📍 Location: London (3 days a week onsite) | 💰 Up to £80,000 per annum We’re looking for a Senior Backend Engineer to join a high-impact product team shaping the future of travel loyalty experiences. You’ll help design and build scalable backend systems that power a seamless journey for millions of travellers around the world. What You’ll Be Doing • Design and implement APIs and core backend services., • Develop business logic and data models that directly influence user experience., • Build and enhance new product features used by thousands of travellers daily., • Collaborate closely with product managers, designers, and cross-functional teams., • Deliver production-quality code with strong testing, documentation, and monitoring., • Provide technical mentorship and contribute to engineering best practices., • Advocate for new tools, technologies, and frameworks to drive innovation. What We’re Looking For • 5+ years of experience in backend software development with strong CS fundamentals., • Proven experience designing and developing APIs and distributed systems., • Strong sense of ownership with a focus on performance, reliability, and maintainability., • Excellent communication and problem-solving skills., • Experience working in fast-paced, product-driven environments., • Proficiency in Java, with exposure to AWS, Spring Framework, and Hibernate (or similar ORM tools) highly desirable. Join a collaborative, forward-thinking engineering team where your work has a tangible impact on user experience and product innovation.

An elite technology-driven hedge fund is now seeking a Trading application and production engineer to join it's growing dynamic team in London, with an excellent work environment and culture. Our client is a global firm with a reputation for utilising technology engineering to help shape it's financial strategy, putting a huge emphasis on investing in it's technical people. They seek an engineer with 2-3 years minimum experience in trade floor environment technology to help with production support, and project work. Any further experience in full lifecycle software engineering is of interest, from development, test/QA, project management and application support. Key skills needed, ideally: • Linux scripting, • SQL, • Python, • FIX 2-3 years minimum experience in trading application support Full production lifecycle - development, test/QA using Jira/Gitlab, project work and support Apply now for more details. Top end salary and bonus on offer, hybrid work culture. £100-125,000+ bonus and benefits on offer.

Attribution Search is partnering with a leading Multi-Strat Global Hedge Fund to hire a Production Engineer within its London office. The fund manages over $15bn with a long track record for stable, year-on-year performance. This is an opportunity to join a growing team, while working alongside senior partners who have been there since its launch. The Role: You'll join the fund's global technology team, where you will focus on the resilience, automation and observability of production systems that power a mission-critical quantitative trading platform. The role forms part of a follow-the-sun global support model. Primary Duties: • Build and maintain automated tools to support system deployments, monitoring, alerting, and operational workflows., • Monitor health of trading systems with a goal of proactive failure prevention., • Take ownership of, and improve incident response, root cause analysis, and blameless post-mortems., • Partner with developers to build scalable, testable, and efficient deployment pipelines., • Collaborate with trading, operations, and quant teams, as well as external vendors, to troubleshoot and optimise production environments Experience Required: • 3+ years’ experience in a production-facing engineering or reliability role within financial services or another high-availability technology environment., • Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems., • Proficiency in scripting and systems programming., • Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: • Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash., • Infrastructure & Systems: Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services., • Monitoring & Observability: Familiarity with DataDog, Grafana, and other internal or custom monitoring solutions., • Automation & CI/CD: Experience using Git, TeamCity, and configuration management tools such as Ansible or Terraform., • Databases: Hands-on experience with Microsoft SQL Server and Snowflake. Candidates with relevant experience are encouraged to apply to find out more.

Principal Software Engineer Join a once in a career opportunity to help build a premium private bank from the ground up. Which is currently in stealth mode, backed by significant capital and led by a visionary team. With mobilisation underway, we’re assembling a lean, elite engineering team to architect and deliver a secure, scalable, multi-cloud banking platform using modern technologies. This is a career-defining role for a polyglot engineer with deep expertise in Rust and Python, and a passion for building robust systems in highly regulated environments. What You’ll Do • Design and build core banking services and infrastructure using Rust, Python, and other modern languages., • Develop secure, scalable systems across AWS and GCP, leveraging best practices in cloud-native architecture., • Collaborate with product, platform, and security teams to ensure compliance with JFC and international regulatory standards., • Contribute to platform development, including cloud security, observability, and performance optimisation., • Work autonomously in a high-trust, remote-first environment with minimal oversight., • Participate in code reviews, architecture discussions, and technical decision-making. You'll have the following: • Extensive experience in Rust and Python in production environments., • Proven track record of building and deploying systems in multi-cloud environments (AWS & GCP)., • Strong understanding of cloud security, infrastructure as code, and platform engineering., • Comfortable working in regulated industries, ideally financial services or fintech., • Self-starter mindset, able to thrive in ambiguity and take ownership of complex problems., • No formal leadership experience required, but must be confident collaborating across disciplines and mentoring peers informally. We'd love to see! • Experience with banking platforms, payments, or financial data systems., • Familiarity with Rust async ecosystem, Kubernetes, Terraform, or Pulumi., • Exposure FCA or JFSC or similar regulatory bodies. What's in it for you? • Be part of a top-heavy engineering team with some of the finest minds in Rust and cloud architecture., • Work on a greenfield platform with zero legacy constraints., • Enjoy remote-first flexibility, high autonomy, and meaningful rewards., • Help shape the future of ultra-premium private banking.

We are working with ___, a London-based start-up using agentic AI to automate and disrupt the $210BN supply chain and freight forwarding industry. We're helping them hire a Founding AI Engineer. This ambitious company has closed a pre-seed round of $2.4 million. Their investors have backed AI leaders like Synthesia, Genie AI, Superlinked, Plain, Signal AI, Dust.tt & MindsDB. Founded in early 2025 by supply chain and AI experts, they are looking for ambitious, mission-driven builders to join them in creating the next generation of automation technology from the ground up and redefine the global supply chain. Job Description As Nexcade’s Founding AI Engineer, you will play a foundational role in shaping the product and company, as you build and refine AI-driven agents for workflow automation and decision-making in supply chain operations. Your work will focus on integrating, orchestrating, and optimising AI systems to interact dynamically with real-world business processes. This is a full-time position working in the Kennington, London office 4+ days per week. Responsibilities • Develop & optimise AI-driven agents for real-time automation, • Work closely with founders, product engineers, and customers to understand pain points and design AI workflows that create real-world value, • Integrate AI models into operational workflows, • Ensure reliability through fail-safes, self-healing, and fallback mechanisms, • Monitor & improve AI performance with feedback loops and observability tools, • Collaborate with Data Engineers to ensure AI has accurate, real-time data, • Implement human-in-the-loop systems where needed Skills and Qualifications • Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar), • Experience in AI-driven automation & orchestration in production environments, • Proven ability to optimise AI agents for reliability and efficiency, • Familiarity with data pipelines & integrations, • Interest in AI process automation & workflow design And ideally you… • Thrive in fast-moving environments and work at a high pace, • Enjoy owning and solving problems, act decisively, think from first principles, and don’t accept conventional constraints., • Seek every opportunity for growth. You're curious, adaptable, and quick to pick up new things., • Build with purpose, solving real-world problems that create meaningful impact for Nexcade’s customers and the world., • Embrace challenges and don’t fear failure., • Are a strong team player who can collaborate and communicate openly, directly, and with intent. Compensation and Benefits • Base salary up to £145K upwards + generous equity as a founding hire, • 30 days annual leave, • Pension through Penfold, • Employee health insurance, • Monthly gym & health allowance, • Cycle to work scheme, • Weekly team lunches & socials, • Enhanced parental leave, • The satisfaction of building a world-class AI-powered product with a great team Interview Process • Introductory chat with one of the founders (45 mins - remote), • Behavioural & technical interview (half day - onsite), • Informal culture fit session (onsite) Nexcade is an equal-opportunity employer and encourages applications from underrepresented groups.

Head of Infrastructure – Trading Technology London – Hybrid £Competitive + Bonus Quant Capital is working with a global market-making firm looking for a Head of Infrastructure to lead the buildout and evolution of its trading platform across cloud and on-prem environments. This is a senior technical leadership role with full ownership of infrastructure strategy, delivery, and scale across low-latency trading systems. This hire will drive a major AWS migration, build greenfield environments, modernise legacy systems, and shape the long-term engineering roadmap. You’ll lead a small but senior infrastructure function with real autonomy and impact. The Role • Own infrastructure architecture across cloud, on-prem and hybrid platforms, • Lead end-to-end AWS migration and modernisation strategy, • Build greenfield environments for trading and research workloads, • Design and operate highly available, low-latency global infrastructure, • Take ownership of Microsoft services, Active Directory and core networking, • Engineer secure connectivity across firewalls, routing and multi-site links, • Drive network security, segmentation and access control strategy, • Lead and grow a high-performing infrastructure/DevOps team, • Partner closely with engineering, trading and risk functions, • Automate provisioning and deployment with IaC (CloudFormation/Terraform/Ansible), • Scale monitoring, cost optimisation and system reliability in production Background • 7+ years in infrastructure leadership within trading, market-making or high-performance engineering environments, • Strong AWS architecture and hybrid (cloud + on-prem) experience, • Deep networking background: routing, switching, low-latency connectivity, • Strong understanding of reliability engineering and autoscaling systems, • Prior experience building and scaling teams in high-performing environments, • Confident interacting with technical and trading leadership Core Skills • AWS (VPC, IAM, S3, ECS/EKS, Direct Connect, Transit Gateway, CloudFormation), • Networking: BGP, OSPF, MPLS, VLANs, VPNs, SD-WAN, • Firewalls and network security (Cisco ASA, Fortinet or similar), • Linux and Windows systems engineering, • Microsoft services and identity (AD/Entra ID), • CI/CD (GitLab CI or similar), • IaC and automation (CloudFormation, Ansible, Terraform), • Monitoring/Observability (CloudWatch, Prometheus, Grafana), • Scripting (Python, Bash) This is a fantastic opportunity for a Senior Infrastructure Engineer with some light management and leadership skills to step into a Head role for a growing but small team and within a fast-paced market making business.

Senior Quantexa Data Engineer Base Location: London, Canary Wharf or could be based at any one of our network of 20 offices nationally, but will require travel to client sites throughout the UK: The KPMG Technology + Data function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. Working on complex engagements including working closely with clients to design, implement, and manage scalable data solutions, this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time. KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with Quantexa, which plays a key role in helping organisations unlock insights through entity resolution, network analytics, and contextual decision intelligence. We are seeking a Senior Data Engineer - Quantexa to join our Quantexa delivery team. This role offers the opportunity to work on large-scale data engineering solutions for our major clients using the Quantexa platform, contribute to architecture design, and lead development efforts within cross-functional agile teams. What will you be doing? • Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala., • Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases., • Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions., • Translate business and technical requirements into efficient, production-ready data engineering solutions., • Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams. What will you need to do it? • Quantexa Technical Certification is required., • Demonstrable experience in leading client data engineering and integration projects for major clients, • Hands-on experience of designing and implementing Quantexa solutions for clients., • Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: • Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains., • Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps., • Familiarity with containerisation technologies like Docker and Kubernetes., • Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: The preferred location for this role would be London, Canary Wharf, but We are open to talk to talent across the country With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: • Technology and Engineering at KPMG: ___, • Technology and Engineering at KPMG:, • ITs Her Future Women in Tech programme: ___, • ITs Her Future Women in Tech programme:, • KPMG Workability and Disability confidence: ___, • KPMG Workability and Disability confidence: For any additional support in applying, please click the links to find out more: • Applying to KPMG: ___, • Applying to KPMG:, • Tips for interview: ___, • Tips for interview:, • KPMG values: ___, • KPMG values:, • KPMG Competencies: ___, • KPMG Competencies:, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:

Want to work for a company that is technology focused who have the strong belief that putting analytical minds together, you will create the next best generation software? This role is a Senior C++ Engineering position who will work within a small team of engineers that specialize in building data analytical products. You will be hands-on using C++ whilst managing large datasets using the latest AWS technologies, and become expert in understanding the data that this firm uses. If you have experience in also building production level Python this role is for you. You will need: • Experience of working with financial data, or other large datasets., • At least 4+ years industry experience of writing production-level C++ and delivering functioning, well-tested systems., • At least 2+ years experience writing production level Python software. (Not just scripting)., • Linux., • Source code control, unit testing and continuous integration, • Ability to self-organise and deliver a project over a period of up to a few months, • Prior experience working within the financial industry, This is a brilliant opportunity for a Senior Engineer to take a step up in responsibility for a well recognized name who are known for hiring Elite Engineers. Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (2–3 days a week onsite) Compensation: Up to £160,000 + equity We’re supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. They’re focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. You’ll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: • Building scalable, low-latency LLM inference infrastructure, • Optimising performance with caching, quantisation, and speculative decoding, • Contributing to core systems in Rust (we are happy for individuals to lean this on the job), • Designing distributed GPU orchestration and inference servers, • Mentoring engineers and influencing technical direction across the team You should bring: • 5+ years software engineering experience, with deep backend/system-level experience, • Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python), • Familiarity with Kubernetes, and cloud infra, • A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: • Experience deploying open-source LLMs or VLMs in production, • Experience with ML inference systems, PyTorch, Triton, or CUDA kernels, • Background in document intelligence, enterprise search, or NLP pipelines, • Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team that’s pushing the boundaries of what’s possible in AI infrastructure.

Forward Deployed Software Engineer – AI & Robotics Location: London (On-site) Compensation: Up to £120k + Equity + 7% Employer Pension Benefits: Free meals | Private health & dental | High-growth AI startup The Opportunity Join a mission-driven AI company developing the software foundation for the next generation of autonomous systems and robotics. In this highly hands-on role, you’ll work directly with customers to deploy and integrate advanced AI into complex, real-world environments, from defence to autonomous operations. You’ll have high ownership, deep technical challenges, and a clear line of sight from your code to real-world impact. What You’ll Do • Deploy and integrate cutting-edge AI and robotics software in live customer environments, • Collaborate with AI researchers, roboticists, and systems engineers to build robust, scalable solutions, • Write clean, production-grade code in Python, C++, or Java, and develop tooling using React/TypeScript, • Gather user feedback and use it to shape product direction and deployment strategy, • Occasionally travel to customer sites across the UK and internationally Why Join • Join a high-growth AI startup deploying real-world autonomous systems, • Work alongside a world-class engineering team (ex-Palantir, Microsoft, defence tech), • Thrive in an engineering-led culture with autonomy, ownership, and purpose, • Build technology that’s shaping the future of autonomy This is a hands-on engineering role at the frontier of AI and robotics, perfect for someone who wants to see their software power intelligent systems operating in the real world.

Python Software Engineer needed to play a pivotal role in evolving our client's core platform — developing APIs, data workflows, and system integrations that power bespoke digital tools for major clients. You’ll work hands-on with Python, FastAPI, SQL, and orchestration tools, taking automation-generated code and making it production-ready. You’ll also be a champion of AI-assisted development, helping to embed LLM-based workflows into day-to-day engineering processes. Key Responsibilities • Build and enhance backend features and integrations (Python, FastAPI, gRPC, SQL)., • Extend auto-generated pipelines and front-end automation outputs., • Develop connectors for APIs, files, and external systems., • Integrate LLM-based capabilities with strong testing and monitoring practices., • Lead best practices for AI-assisted coding tools, • Collaborate closely with cross-functional teams including Data and Platforms About You • Strong experience with Python backend and API development, • Skilled in SQL, data modelling, and workflow orchestration tools, • Daily user of AI-powered coding assistants, with a focus on efficiency and code quality, • Proven experience building and managing integrations (APIs, SFTP, SharePoint, webhooks), • Familiar with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP), • Computer Science or STEM degree ideally What’s on Offer • Competitive base salary + share option plan, • Pension & Private healthcare, • Remote/Flexible hybrid working – only 2 days per fortnight in London but with great flex Why Apply? This is an opportunity to join one of the UK’s most exciting emerging tech companies, working at the intersection of AI, automation and transformation. You’ll be part of a talented, mission-driven team building technology that genuinely makes a difference.

Senior Software Engineer (Node.js) Location: Hybrid working in London Salary: £80,000-95,000 + options Are you passionate about using technology to tackle real-world sustainability challenges? As a Senior Software Engineer (Node.js), you’ll be at the heart of building scalable backend systems that process and analyse massive streams of performance data from renewable energy assets. You’ll get the opportunity to have a real impact in helping accelerate the clean energy transition while collaborating with talented engineers, data scientists, and product designers. Key Requirements: • 5+ years of experience building production-grade backend systems., • Strong proficiency in Node.js, JavaScript/TypeScript., • Solid understanding of distributed or event-driven systems., • Experience with cloud platforms, AWS ideally. If you’re a Senior Software Engineer (Node), looking to work in an early stage start-up, please apply.

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities • Build, deploy and maintain machine learning models as APIs, streams, and batch services, • Partner with Data Scientists to industrialise prototypes into production-ready applications, • Lead on observability, CI/CD automation, and monitoring for ML workflows, • Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform, • Contribute to shared ML tooling and experimentation platforms, • Ensure best practices in model testing, rollback, and deployment hygiene, • Work across technical and compliance teams to ensure governance and risk controls Requirements • 3–5 years’ experience in machine learning engineering and/or applied data science, • Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.), • Strong Python coding skills for production systems, • Proven experience deploying models in real-world environments (API, batch, streaming), • Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes), • Experience working in cloud environments (AWS preferred; Terraform a bonus), • Strong communication skills and interest in the latest ML/AI developments, • Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Applied Machine Learning Engineer - London (Hybrid) - £60,000 I’m working with a fast-growing, founder-led start-up that’s on a mission to make digital ads actually enjoyable — tackling one of the biggest challenges in adtech: building a higher-quality, more intelligent ad-funded internet. They’re now hiring their first ever Applied Machine Learning Engineer — someone curious, hands-on, and ready to own all things ML from day one. What you’ll be doing: • Building and deploying applied ML systems that make the product smarter and more defensible, • Developing contextual categorisation of web content, • Prototyping algorithms to optimise ad performance and bidding logic, • Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG), • Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: • 1–3 years’ experience in applied ML/AI (or equivalent projects), • Strong Python skills with PyTorch, Hugging Face or scikit-learn, • Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.), • A passion for turning messy real-world data into something powerful and production-ready, • Excitement about being the first ML hire in a scaling start-up environment Why you’ll love it: • Real ownership from day one — build, shape and scale the ML function, • Hybrid setup (London-based, flexible culture), • 33 days holiday + Christmas shutdown, • Private medical, pension, socials, offsites & more If you’re ready to apply your ML skills in a high-impact, creative environment — where ideas move from concept to production fast — I’d love to chat. Applied Machine Learning Engineer - London (Hybrid) - £60,000

DevOps Engineer | £70,000 – £85,000 | London or Remote What’s on offer 💷 £70,000 – £85,000 + bonus & equity options 🏥 Comprehensive benefits package (healthcare, pension, life assurance) 🧑 💻 Hybrid working (London-based or remote) A high-growth fintech is seeking a DevOps Engineer to help build and operate the infrastructure powering the next generation of post-trade systems across Europe. This is a fantastic opportunity to work on secure, scalable, and low-latency platforms that underpin real-time financial operations. You’ll play a key role in designing cloud-native infrastructure, automating deployments, and ensuring high availability in a performance-critical environment. What you’ll do • Design, implement, and maintain AWS-based distributed infrastructure supporting real-time services., • Automate workflows and deployments using Terraform and CI/CD tools (GitHub Actions, CircleCI, or Jenkins)., • Support and optimize containerized environments (Docker, Kubernetes)., • Build observability and monitoring solutions with Prometheus, Grafana, and ELK., • Manage and tune messaging systems (Kafka, RabbitMQ) for low-latency event handling., • Enhance reliability, scalability, and infrastructure security through DevSecOps practices. What we’re looking for ✅ 4–6 years’ experience in DevOps, SRE, or Cloud Infrastructure Engineering. ✅ Strong background in AWS and Linux systems. ✅ Skilled in Terraform / IaC and CI/CD automation. ✅ Experience with Docker / Kubernetes in production environments. ✅ Familiarity with monitoring, logging, and tracing tools. ✅ Security-conscious mindset and automation-first approach. Nice to have • Experience in fintech, trading, or distributed ledger systems., • Exposure to high-availability and latency-sensitive architectures., • Familiarity with ISO 27001 or FCA-regulated environments.

Production Engineer – Linux– AWS – Python - Hedge Fund My client, a reputable Hedge Fund, is looking to hire a Production Engineer to join one of their engineering teams that supports their trading business in London. This technical team supports the client’s product suite that is used by a number of internal and external users, so it will be important that the right person ensures that these systems are running smoothly and that the business and other users are provided with an outstanding level of technical support. This is not a pure support role though - there is also an equally important element to the role which is centred around automation, and identifying areas where the team can automate to reduce the load on the team. They want someone who is an engineer at heart, who can write code to eliminate toil, improve reliability, and automate release, monitoring, and recovery processes. The suite of global applications you will be supporting will give you exposure to various areas including development, testing and deployment. You will need to have supported a trading desk before, and have a proven track record of building and maintaining automated tools for deployment, health checks, alerts, and runbooks. To be right for this, you need to have the following skill set: • Technical Support experience on a real-time trading system, • Experience working with Linux (navigating/commands etc), Windows, Docker, AWS, • Bash/Python scripting experience, • Automation/CI/CD: Git, TeamCity, Ansible, • Database technologies - SQL Server & Snowflake (advantageous) This is a fantastic opportunity to join a highly respected hedge fund. You will be expected to be onsite 4 days a week and the role will pay up to £100k base + a discretionary bonus.

• Senior Data and Analytics Engineer - Front Office / FI, • London, • Excellent package plus bonus / benefits Overview • You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making., • This is a hands-on, high-impact role at the core of our front office. You will be expected to take full ownership of your work—from design through production—and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: • You should have at least 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment)., • Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD)., • Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS)., • Experience with Docker and container-based deployments., • Strong knowledge of Snowflake and NoSQL databases (especially MongoDB)., • Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc., • Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful, • Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous., • Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data analytics platforms would be nice to have Key Responsibilities • Work closely with portfolio managers, analysts, and traders to understand data and research requirements and build scalable solutions., • Design, implement, and maintain real-time and batch data pipelines across internal and external sources., • Manage and optimize data workflows on AWS, including containerized environments using Docker., • Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB)., • Ensure data quality, integrity, and availability across the front office stack.

About Pixel Artworks Since 2005 we have pioneered the use of light & pixel technology to develop magical & measurable shared experiences for the world's largest retailers, brands and entertainment venues. Our epic, immersive artworks offer the opportunity for physical and digital interaction together, creating unforgettable memories and building long-lasting emotional connections with people. Our headquarters are in London, and we operate globally, with a regional office in Dubai. We're unique in how we bring together creative, technology and production under one roof. We're a team of around 70 talented individuals who have built a fantastic community – we're collaborative, passionate and social. What connects us all is that we love what we do! This role is 5-days per week in our Farringdon, London office. Role Summary This is an exciting opportunity to work in a varied IT role in a creative, fast-moving studio. As our IT Support Engineer, you’ll be the friendly face and first point of contact for all things IT, helping to keep our people connected and our systems running smoothly. You’ll be the go-to problem solver for our team, helping fix issues, set people up for success, and ensure every system, device and network stays reliable, secure and efficient. You’ll handle a mix of 1st and 2nd line support (with exposure to 3rd line), getting involved in everything from setting up new equipment and resolving issues, to supporting our cloud systems and improving the way we work. You’ll work closely with our IT Systems Administrator and wider team, learning on the job, developing your technical skills, and playing an important role in helping our studio run at its best. We’re looking for someone who loves helping others, thrives in a fast-paced creative environment, and enjoys finding simple solutions to technical problems. What you’ll do: • Be the first point of contact for IT support - troubleshooting hardware, software and access issues., • Manage the ticketing system, prioritising and resolving issues efficiently while keeping users informed., • Support the setup and maintenance of our cloud systems (M365, G-Suite), network infrastructure and Active Directory., • Assist with server maintenance, backup processes and monitoring system performance., • Manage hardware setup, upgrades and asset tracking., • Promote good security practices, from antivirus updates to user permissions., • Build great relationships across the business, helping raise IT confidence and capability., • Share ideas to improve systems and workflows as we continue evolving our tech stack. What we’re looking for: • Experience in an IT support role, ideally within a small or medium-sized business where you’ve worn a few hats., • Working knowledge of Windows Server environments, M365 and general network troubleshooting., • A calm, methodical problem-solver who enjoys helping people., • Excellent communication skills - able to explain technical information simply., • Awareness of GDPR and IT security principles., • Certifications such as CompTIA A+ or ITIL Foundation are a plus., • Bonus if you’ve supported creative studios or production environments before. Check out the full job description on our careers page: Interview Process: • w/c 10th Nov: Initial call with the People team, • w/c 17th Nov: 1st stage - Teams call with IT Systems Administrator (hiring manager) & Pipeline Manager, • w/c 24th Nov: Final stage with the IT Systems Administrator & Fractional IT Director, including a short pre-prepared task to showcase your approach.

🚀 Senior Java Engineer (Kafka, Spring Boot, Microservices) We’re hiring a Senior Java Engineer to build secure, real-time systems using Java, Spring Boot, and Apache Kafka. You’ll design scalable event-driven microservices, collaborate across the stack, and shape a platform used in mission-critical environments. If you’re a hands-on backend engineer passionate about distributed systems, resilience, and clean architecture — this is your next challenge. 🌍 Location & Flexibility Work remotely from anywhere in the UK, with the option to use a London office when you prefer in-person time. Team meetups are planned in advance, flexibility is the default. 💡 Required Experience • 10+ years’ experience as a Java Backend Engineer / Senior Java Developer, • Proven track record building and scaling Kafka-based architectures in production, • Deep expertise with Spring Boot (Security, Web, and Data modules), • Experience designing and maintaining event-driven systems with high throughput and reliability, • Strong understanding of observability, availability, and resilience, • Experience working in security-conscious, regulated, or mission-critical domains, • Skilled with CI/CD pipelines, Infrastructure-as-Code, and containerized environments (Docker, Kubernetes), • Experience integrating with AI development tools such as Copilot, Cody, or Augmentcode 🌟 Nice to Have • Experience designing or contributing to messaging or synchronization systems, • Familiarity with zero-trust architectures or encrypted transport frameworks 💥 Why Join • Build real-world impact systems for secure, distributed operations, • Join a high-trust, collaborative engineering culture, • Work with cutting-edge tech in real-time and AI-integrated environments, • Enjoy remote flexibility, competitive pay, and equity options Ready to build something that matters? At Pixelated People, we don’t just do inclusion and diversity. We embrace people that have different opinions, perspectives and personalities. Because we believe that by seeing the world from all sorts of angles, we can make life better for all the people who live in it. So we want you to know that the things that make you, you — like your age, ability, background and identity — are things that we celebrate and support.

Founding AI Engineer London – On-site Up to £150k + equity I’m partnering with a well-funded early-stage startup looking to hire a Founding AI Engineer who can take them on to Series A. This is an opportunity to join a small, high-calibre engineering team that’s building production-grade AI systems used by real customers today. Revenue generating and with three years of runway, this is a solid opportunity for anyone who enjoys building systems that actually ship, rather than just prototyping models, this will be a strong fit. You’ll work at the intersection of LLMs, agentic systems and applied AI, taking ownership of projects end-to-end, from experimentation to deployment. If you What You’ll Do • Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment)., • Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks., • Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads., • Collaborate closely with the founding engineering team to build scalable infrastructure for AI-driven applications., • Mentor mid-level engineers and help establish best practices around applied AI development and deployment. What We’re Looking For • 5+ years of professional software engineering experience, including 2–3+ years in AI/ML applications., • Proven track record of shipping AI products into production (not just research or prototypes)., • Preferred tech stack - TypeScript, React, LangChain, and LLM orchestration., • Experience with RAG systems, vector databases (e.g. Pinecone, PGVector, Weaviate), and model evaluation., • Comfortable working in a fast-paced startup environment with a high degree of autonomy., • Exposure to agentic systems, prompt optimisation, or multi-agent frameworks. Why This Role? • Join a high-impact, early engineering team working on complex applied AI challenges., • Shape the direction of real-world LLM applications with full ownership and creative freedom., • Competitive salary £100k–£150k + equity. Reach out to Jamie Forgan for more information.

AI Engineer Location: London (Hybrid) Salary: Up to £70,000 + Bonus + Benefits Start Date: ASAP About the Opportunity We are seeking a talented and motivated AI Engineer to join a fast-growing, forward-thinking team operating at the cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications. This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector. You’ll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities. What You’ll Be Doing • Designing, developing, and deploying AI and LLM-based solutions in production environments, • Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini), • Developing and optimising APIs, embeddings, and backend services for AI systems, • Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript, • Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications, • Participating in code reviews, technical discussions, and internal R&D projects, • Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready solutions, • Contributing to the evolution of internal frameworks and best practices for AI deployment What We’re Looking For • 1–3 years of experience in AI engineering, data engineering, or software development, • Demonstrable experience delivering AI, LLM, or data-driven applications, • Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript, • Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate), • Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD), • Excellent problem-solving skills and a proactive, collaborative mindset, • Full right to work in the UK (visa sponsorship not available) Nice to Have • Experience with prompt engineering, fine-tuning, or AI agents, • Understanding of retrieval-augmented generation (RAG) systems and semantic search, • Exposure to enterprise AI security, multimodal AI, or reinforcement learning (RLHF) Benefits 💰 Competitive Salary: Up to £70,000 + annual performance bonus 🏡 Hybrid Working: Flexible blend of office and remote work 📈 Career Development: Continuous learning, technical mentorship, and clear progression opportunities 🛠️ Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies 🤝 Collaborative Culture: Join an innovative, global engineering and data science team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply If you’re passionate about applying your AI and engineering expertise to deliver cutting-edge solutions that make a real impact, we’d love to hear from you. Please send us your CV, and a member of our team will be in touch to discuss next steps.

Trade Application Support Engineer Location: London Experience: 1–7 Years Industry: Market Making / Proprietary Trading / Capital Markets Applicants who come from should come from a buy side / trading / capital markets environment will be given strong preference Responsibilities • Act as the first point of escalation for any technical issues arising from the trading system, • Manage production environments daily, including monitoring, capacity management, problem resolution, and change management, • Ensure efficient resolution of issues while working closely with internal users and external counterparts, • Coordinate, organise, and implement changes with external vendors, • Plan, schedule, implement, and document change activities, • Improve documentation, create runbooks, and automate recurring processes Skills and Experience • Prior experience in financial services (preferred), • Networking skills to CCNA level (preferred), • Strong Linux system administration knowledge, • Experience maintaining Microsoft SQL Server, • Exposure to AWS (preferred), • Experience with monitoring systems such as Grafana/Elasticsearch, • Coding experience, particularly in Python or Java Desired Traits • Ability to perform effectively in high-pressure trading environments, acting quickly and with urgency, • Strong communication skills, with the ability to bridge trading and technology, • Curiosity and appetite to learn new skills and technologies, • Willingness to start early (7:15 am)

Senior / Technical Lead - Flutter (Mainly hands-on with oversight of a team of 4) London (Hybrid) - 2/3x a week onsite intially for first couple of months then potential to be more remote £90,000-£10,000 We’re partnering with a fast-growing company that’s transforming how people interact with tech. Join a workplace-tech innovator building one of the world’s most advanced smart-building platforms, powered by digital twins, real-time analytics, and seamless third-party integrations They’re now looking for a Lead Mobile Engineer with deep Flutter expertise to take ownership of their client-facing apps. This is a hands-on technical leadership role, you’ll set the technical direction, mentor a small team, and work directly with senior leadership to deliver the roadmap. What you’ll be doing: • Own the mobile roadmap & architecture (Flutter, Swift, Java), • Lead from a technical perspective: design, code, review, and mentor, • Integrate with complex third-party SDKs (BLE, mobile access, indoor wayfinding), • Drive engineering excellence in testing, performance, monitoring, and CI/CD, • Collaborate closely with back-end and product teams to deliver new features What we’re looking for: • 3+ years of Flutter app development in production environments, • Strong background in iOS/Android (Swift/Java), • Experience with state management, testing frameworks, monitoring tools (Crashlytics, Sentry, etc.), • Ability to guide technical decisions and mentor engineers, • Excellent communication skills, with a focus on user experience If you’re passionate about building world-class mobile apps and want to lead the technical vision for a platform used by thousands every day, we’d love to hear from you.

Senior AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £130k +shares We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG. The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here. This has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients. What we’re looking for: We’re looking for people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: • Effective communication skills, • Background in foundational Computer Vision/NLP, • Strong Software Engineering skills (3 years+), • Developed LLM architecture and deployed LLM applications, • Uptodate with current trends in AI, • Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-3 days a week, so we would need someone that is flexible. This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with: • Base salary of upto £130k, • Meaningful EMI shares (our proven history speaks for itself), • 25 Days holiday, • Statutory pension contribution, • Private medical Please note: you must be eligible to work in the UK to be considered for this position. Interested? If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following: • Call me on 02037736498

AI Engineer – Security Clearance Required We’re looking for a capable, curious, and hands-on AI Engineer to help deliver intelligent solutions to our UK-based clients using our in-house agentic AI platform. This role focuses on configuring, orchestrating, and integrating off-the-shelf LLMs, embeddings, vector databases, and toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems. 🧩 What You’ll Be Doing • Design and deploy LLM-powered solutions on top of our core agentic AI platform, • Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations, • Extend and adapt platform capabilities using Python, • Translate business and user needs into orchestrated AI behaviours and workflows, • Work closely with clients and delivery teams to shape solutions, from prototype to production, • Ensure solutions are modular, secure, and reliable — while maintaining clarity and traceability in decision logic ✅ What You Must Bring • UK-based and either hold SC clearance or be eligible and willing to go through clearance, • 2+ years of experience in applied AI engineering, data engineering, or backend platform work, • Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows, • Good understanding of machine learning concepts, LLMs, tokenisation, and vector-based semantic search, • Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores, • Hands-on experience using frameworks like LangChain, Haystack, or custom orchestration layers, • Familiarity with ethical considerations, bias evaluation, and responsible AI deployment, • Light DevOps or scripting experience to support deployment or debugging Why This Role? This isn’t about training models — it’s about making them useful. You’ll help real users benefit from safe, practical AI without reinventing the wheel. Expect variety, challenge, and meaningful outcomes. UK-based only. No sponsorship available. SC clearance (or eligibility) is required.

🚀 Hiring: Sr ML Engineer | Series B | On track for Unicorn Status 💷 Up to ~£115,000 🌍 London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in their ML & AI product teams. The role: You'll join as a Sr ML Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: • Design and build ML applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies., • Drive and own end to end model development lifecycle, • Collaborate cross functionally to understand business problems, working with product teams., • Stay abreast of ground-breaking research and approaches in advanced topics You’ll thrive if you: • Strong proficiency in Python for production ready delivery., • Deep understanding of the ML/AI landscape and agentic frameworks., • Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs., • Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment)., • Good knowledge of AWS’s infrastructure. Why this role: This is a great opportunity to join a world-class ML/AI team that will have a direct impact on the company's revenue. They are aiming to double ARR next year and this team will have a huge impact on that becoming a reality.

Backend Software Engineer (AI) £750 - £800 per day 2 days onsite We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: * Designing and implementing backend services for Python-based web applications (e.g., FastAPI). * Integrating AI and ML components into production systems and APIs. * Writing high-quality, well-tested, and well-documented code following best practices. * Developing and monitoring metrics to improve system reliability and performance. * Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. * Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: * Strong Python backend development experience (FastAPI or similar frameworks) * Cloud-native deployment experience (preferably Google Cloud and Cloud Run) * Unit testing experience (pytest or similar frameworks) * Familiarity with agile development and CI/CD processes * Strong understanding of Git/GitHub workflows and DevOps tooling Nice to have: * Experience with Docker or multi-container application architecture * Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen * Experience with biological or scientific datasets (genomics, proteomics, etc.) * Exposure to frontend development (React preferred) * Experience benchmarking and improving AI/ML models or agent-based systems What You'll Bring * A track record of delivering clean, production-grade backend systems * A collaborative and proactive approach to working in cross-functional teams * Passion for innovation and applying technology to advance scientific discovery * A growth mindset with a focus on continuous learning and improvement Please send your CV

Python Developer/ Backend Developer/ Senior Software Engineer - AI Startup (London, Hybrid) Location: London (Hybrid – 1 day per week in office) Package: £70k–£100k + equity We are partnered with a fast-growing AI startup building a cutting-edge product that redefines what’s possible in engineering. To accelerate their growth, we’re looking for a talented Python Developer / Software Engineer to join our London team and help build scalable, production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python, • Develop and optimize APIs, data processing pipelines, and integration layers, • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer / Software Engineer, • Strong Python skills with experience in frameworks such as FastAPI, • Solid understanding of software engineering principles and design patterns, • Strong foundation in Computer Science (BSc/MSc from a top university), • Desirable: experience with AWS, frontend skills, • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact, • Collaborate with world-class engineers and ML researchers, • Hybrid model, 1-2 days a week in our London office, • Competitive salary + equity

Machine Learning Specialist – Computer Vision (High-Stakes Applications: Aviation, Mobility, Robotics, Edge Devices) A pioneering AI safety company is on a mission to make artificial intelligence reliable, transparent, and safe for everyone to use. To help achieve this, the team is seeking Machine Learning Specialists with deep expertise in computer vision — particularly in object detection and tracking within high-stakes environments. In this role, you’ll work at the intersection of applied research, customer collaboration, and product innovation. You’ll support R&D and product teams across industries such as aviation, mobility, robotics, and embedded systems, helping them validate and improve the performance of their machine learning models. You’ll also feed insights back into internal development to shape the next generation of robust ML validation tools. Key Responsibilities • Collaborate with customer engineering and research teams to evaluate and enhance computer vision model performance., • Prototype and implement solutions for robustness, validation, and testing in applied ML projects., • Design and run experiments to benchmark performance across architectures and metrics., • Partner with internal research and platform teams to guide future product direction., • Contribute to the development of scalable, efficient tools for ML verification and robust learning. About You You’re a hands-on ML engineer or researcher with strong experience in training, evaluating, and deploying advanced computer vision models. You enjoy solving real-world problems, communicating complex technical ideas clearly, and working collaboratively with diverse stakeholders. Requirements • Proven scientific or engineering contributions to object detection/tracking (e.g., publications in CVPR, ICCV, or ECCV)., • Deep experience with modern vision architectures such as YOLO, Vision Transformers, and EVA., • Strong command of Python and core ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch)., • Familiarity with MLOps practices and evaluation metrics (Accuracy, Recall, F1, IoU, etc.)., • Background in Aviation, Mobility, Robotics, or Edge Computing., • Experience deploying ML solutions in production or real-world environments. What You’ll Gain You’ll join a company working on one of the most important frontiers in AI — making machine learning trustworthy and dependable. You’ll have opportunities to influence both product direction and industry practices, supported by a culture that values curiosity, collaboration, and continuous learning. Benefits • Competitive salary and stock options., • Learning & development allowance and mentorship opportunities., • Flexible holidays and a strong focus on work-life balance., • Regular team events and a collaborative environment that supports personal growth. If you’re passionate about advancing computer vision and want your work to have a meaningful impact on the safety and reliability of AI systems, we’d love to hear from you. Applications are welcome from candidates who may not meet every listed requirement but can demonstrate the potential to excel in this role.

🔍 ML Ops Engineer – Cloud, Data, and AI Are you passionate about shaping the future of data and cloud technology? We’re partnering with a forward-thinking financial organization investing heavily in its data and AI capabilities — and they’re looking for an experienced ML Ops Engineer to join their growing Data Delivery Team. In this newly created role, you’ll work across AWS and Azure environments, helping scale machine learning and data science projects from concept to production. You’ll play a hands-on role in designing, deploying, and optimizing cloud-based data platforms — empowering teams to deliver smarter, faster insights across the business. If you love the challenge of bridging data science and cloud engineering, this is an opportunity to make a real impact in a growing, collaborative environment. What you’ll be doing: • Building and optimizing cloud platforms on AWS and Azure., • Automating the deployment and maintenance of ML models and data science tooling., • Enabling data labs and environments to support experimentation and innovation., • Partnering with cross-functional teams to drive efficiency and deliver scalable, data-driven solutions. What you’ll bring: • Strong ML Ops experience., • Proficiency in Python and SQL., • Hands-on cloud engineering experience with AWS & Azure (Redshift, Synapse)., • Familiarity with Terraform, Power BI, and Excel., • A proactive, problem-solving mindset with strong collaboration skills. This role offers the chance to work within a progressive, flexible culture where innovation is encouraged and career growth is supported.